Index

Symbols

2017-11 2018-03 2018-04 2019-06 2019-08 2019-09 2019-10

2019-12 2020-06 2020-11 2021-05 2021-07 2021-08 2022-02

_

_1d_problem() (in module mlprodict.onnxrt.validate._validate_problems_helper) __abs__() (mlprodict.npy.xop.OnnxOperator method) __abstractmethods__ (mlprodict.sklapi.onnx_pipeline.OnnxPipeline attribute) __add__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.onnxrt.shape_object.DimensionObject method) __and__() (mlprodict.npy.onnx_variable.OnnxVar method) __array_ufunc__ (mlprodict.npy.onnx_variable.OnnxVar attribute) __call__() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyFunctionInferenceSession method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyFunctionOnnxInference method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.onnx_tools.exports.tf2onnx_helper.tf_op method) (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) __class_getitem__() (mlprodict.npy.onnx_numpy_annotation.NDArray class method) (mlprodict.npy.xop.OnnxOperator class method) __contains__() (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) __eq__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop_variable.Variable method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeObject method) __fct__() (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_custom_fct_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_abs_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_arange_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_ceil_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_clip_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_compress_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_concat_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cumsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_det_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_dot_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_einsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_erf_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_exp_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expand_dims_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expit_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_floor_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_hstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_isnan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log1p_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_logistic_regression_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_matmul_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_mean_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_cube_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_rel_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sq_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_square_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sum_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_pad_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_prod_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_reciprocal_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_relu_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_round_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sigmoid_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sign_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sqrt_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_squeeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_topk_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_transpose_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_unsqueeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_vstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_where_None_None method) __floordiv__() (mlprodict.npy.onnx_variable.OnnxVar method) __ge__() (mlprodict.npy.onnx_variable.OnnxVar method) __getattr__() (mlprodict.npy.xop.OnnxLoadFactory method) __getitem__() (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.npy.onnx_variable.MultiOnnxVar method) (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.tools.graphs.BiGraph method) __getstate__() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_abs_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_arange_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_ceil_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_clip_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_compress_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_concat_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cumsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_det_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_dot_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_einsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_erf_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_exp_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expand_dims_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expit_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_floor_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_hstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_isnan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log1p_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_logistic_regression_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_matmul_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_mean_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_cube_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_rel_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sq_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_square_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sum_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_pad_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_prod_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_reciprocal_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_relu_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_round_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sigmoid_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sign_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sqrt_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_squeeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_topk_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_transpose_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_unsqueeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_vstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_where_None_None method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_tokenizer.TokenizerTransformerBase method) __gt__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeObject method) __hash__ (mlprodict.npy.onnx_variable.OnnxVar attribute) (mlprodict.npy.xop.OnnxOperator attribute) (mlprodict.npy.xop_variable.Variable attribute) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint attribute) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult attribute) (mlprodict.onnxrt.shape_object.DimensionObject attribute) (mlprodict.onnxrt.shape_object.ShapeObject attribute) __init__() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionBinary method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCast method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionConcat method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunctionCall method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionIfElse method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionReturn method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionUnary method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionAdd method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionSign method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionTestEqual method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionTestInf method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorAdd method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorDiv method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorDot method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorMul method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorSub method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorTake method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorVector method) (mlprodict.grammar.grammar_sklearn.grammar.gmlactions.MLModel method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeBool method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeFloat32 method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeFloat64 method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeInt32 method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeInt64 method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) (mlprodict.npy.numpy_onnx_impl_body.AttributeGraph method) (mlprodict.npy.numpy_onnx_impl_body.if_then_else method) (mlprodict.npy.numpy_onnx_impl_body.OnnxVarGraph method) (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias method) (mlprodict.npy.onnx_numpy_annotation.NDArray.ShapeType method) (mlprodict.npy.onnx_numpy_annotation.NDArraySameType method) (mlprodict.npy.onnx_numpy_annotation.NDArraySameTypeSameShape method) (mlprodict.npy.onnx_numpy_annotation.NDArrayType method) (mlprodict.npy.onnx_numpy_annotation.NDArrayTypeSameShape method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyFunction method) (mlprodict.npy.onnx_numpy_wrapper._created_classes method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.npy.onnx_variable.MultiOnnxVar method) (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop._GraphBuilder method) (mlprodict.npy.xop.OnnxLoadFactory method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorBase method) (mlprodict.npy.xop.OnnxOperatorFunction method) (mlprodict.npy.xop.OnnxOperatorItem method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.npy.xop_convert.OnnxSubEstimator method) (mlprodict.npy.xop_convert.OnnxSubOnnx method) (mlprodict.npy.xop_variable.DetectedVariable method) (mlprodict.npy.xop_variable.InputDetectedVariable method) (mlprodict.npy.xop_variable.NodeResultName method) (mlprodict.npy.xop_variable.Variable method) (mlprodict.onnx_conv.onnx_ops.onnx_complex.OnnxComplexAbs_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT2D_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxFFT_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_fft.OnnxRFFT_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_gradient_op.OnnxBroadcastGradientArgs_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_gradient_op.OnnxFusedMatMul_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_gradient_op.OnnxSoftmaxGrad_13 method) (mlprodict.onnx_conv.onnx_ops.onnx_gradient_op.OnnxYieldOp_1 method) (mlprodict.onnx_conv.onnx_ops.onnx_tokenizer.OnnxTokenizer_1 method) (mlprodict.onnx_conv.operator_converters.parse_lightgbm.MockWrappedLightGbmBoosterClassifier method) (mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBooster method) (mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBoosterClassifier method) (mlprodict.onnx_conv.scorers.register.CustomScorerTransform method) (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) (mlprodict.onnx_tools.exports.tf2onnx_helper.tf_op method) (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.CodeTranslator method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator.Parameter method) (mlprodict.onnxrt.backend._CombineModels method) (mlprodict.onnxrt.backend.OnnxInferenceBackendRep method) (mlprodict.onnxrt.doc.doc_helper.NewOperatorSchema method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference method) (mlprodict.onnxrt.ops_cpu._new_ops.OperatorSchema method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunArg method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryComparison method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNum method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNumpy method) (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb method) (mlprodict.onnxrt.ops_cpu._op.OpRunCustom method) (mlprodict.onnxrt.ops_cpu._op.OpRunCustom.OpRunCustomSchema method) (mlprodict.onnxrt.ops_cpu._op.OpRunReduceNumpy method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnaryNum method) (mlprodict.onnxrt.ops_cpu.op_abs.Abs method) (mlprodict.onnxrt.ops_cpu.op_acos.Acos method) (mlprodict.onnxrt.ops_cpu.op_acosh.Acosh method) (mlprodict.onnxrt.ops_cpu.op_add.Add method) (mlprodict.onnxrt.ops_cpu.op_and.And method) (mlprodict.onnxrt.ops_cpu.op_argmax._ArgMax method) (mlprodict.onnxrt.ops_cpu.op_argmax.ArgMax_11 method) (mlprodict.onnxrt.ops_cpu.op_argmax.ArgMax_12 method) (mlprodict.onnxrt.ops_cpu.op_argmin._ArgMin method) (mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_11 method) (mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_12 method) (mlprodict.onnxrt.ops_cpu.op_array_feature_extractor.ArrayFeatureExtractor method) (mlprodict.onnxrt.ops_cpu.op_asin.Asin method) (mlprodict.onnxrt.ops_cpu.op_asinh.Asinh method) (mlprodict.onnxrt.ops_cpu.op_atan.Atan method) (mlprodict.onnxrt.ops_cpu.op_atanh.Atanh method) (mlprodict.onnxrt.ops_cpu.op_average_pool.AveragePool method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_14 method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_9 method) (mlprodict.onnxrt.ops_cpu.op_binarizer.Binarizer method) (mlprodict.onnxrt.ops_cpu.op_bitshift.BitShift method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgs method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgsSchema method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_category_mapper.CategoryMapper method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDist method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDistSchema method) (mlprodict.onnxrt.ops_cpu.op_ceil.Ceil method) (mlprodict.onnxrt.ops_cpu.op_celu.Celu method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_6 method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbsSchema method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_11 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_12 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_9 method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_conv_.ConvDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_.ConvFloat method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose.ConvTranspose method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeFloat method) (mlprodict.onnxrt.ops_cpu.op_cos.Cos method) (mlprodict.onnxrt.ops_cpu.op_cosh.Cosh method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUGSchema method) (mlprodict.onnxrt.ops_cpu.op_dequantize_linear.DequantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_dict_vectorizer.DictVectorizer method) (mlprodict.onnxrt.ops_cpu.op_div.Div method) (mlprodict.onnxrt.ops_cpu.op_dropout.Dropout_12 method) (mlprodict.onnxrt.ops_cpu.op_dropout.Dropout_7 method) (mlprodict.onnxrt.ops_cpu.op_dropout.DropoutBase method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_elu.Elu method) (mlprodict.onnxrt.ops_cpu.op_equal.Equal method) (mlprodict.onnxrt.ops_cpu.op_erf.Erf method) (mlprodict.onnxrt.ops_cpu.op_exp.Exp method) (mlprodict.onnxrt.ops_cpu.op_expand.CommonExpand method) (mlprodict.onnxrt.ops_cpu.op_expand.Expand_13 method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft.FFTSchema method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2DSchema method) (mlprodict.onnxrt.ops_cpu.op_flatten.Flatten method) (mlprodict.onnxrt.ops_cpu.op_floor.Floor method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMulSchema method) (mlprodict.onnxrt.ops_cpu.op_gather.Gather method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherDouble method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherFloat method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherInt64 method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm method) (mlprodict.onnxrt.ops_cpu.op_global_average_pool.GlobalAveragePool method) (mlprodict.onnxrt.ops_cpu.op_greater.Greater method) (mlprodict.onnxrt.ops_cpu.op_greater.GreaterOrEqual method) (mlprodict.onnxrt.ops_cpu.op_hard_sigmoid.HardSigmoid method) (mlprodict.onnxrt.ops_cpu.op_hardmax.Hardmax method) (mlprodict.onnxrt.ops_cpu.op_identity.Identity method) (mlprodict.onnxrt.ops_cpu.op_if.If method) (mlprodict.onnxrt.ops_cpu.op_imputer.Imputer method) (mlprodict.onnxrt.ops_cpu.op_isinf.IsInf method) (mlprodict.onnxrt.ops_cpu.op_isnan.IsNaN method) (mlprodict.onnxrt.ops_cpu.op_label_encoder.LabelEncoder method) (mlprodict.onnxrt.ops_cpu.op_leaky_relu.LeakyRelu method) (mlprodict.onnxrt.ops_cpu.op_less.Less method) (mlprodict.onnxrt.ops_cpu.op_less.LessOrEqual method) (mlprodict.onnxrt.ops_cpu.op_linear_classifier.LinearClassifier method) (mlprodict.onnxrt.ops_cpu.op_linear_regressor.LinearRegressor method) (mlprodict.onnxrt.ops_cpu.op_log.Log method) (mlprodict.onnxrt.ops_cpu.op_log_softmax.LogSoftmax method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_cpu.op_lp_normalization.LpNormalization method) (mlprodict.onnxrt.ops_cpu.op_matmul.MatMul method) (mlprodict.onnxrt.ops_cpu.op_max.Max method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolDouble method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolFloat method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_min.Min method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_mul.Mul method) (mlprodict.onnxrt.ops_cpu.op_neg.Neg method) (mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss.NegativeLogLikelihoodLoss method) (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer method) (mlprodict.onnxrt.ops_cpu.op_not.Not method) (mlprodict.onnxrt.ops_cpu.op_one_hot_encoder.OneHotEncoder method) (mlprodict.onnxrt.ops_cpu.op_or.Or method) (mlprodict.onnxrt.ops_cpu.op_pad.Pad method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvInt8 method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvUInt8 method) (mlprodict.onnxrt.ops_cpu.op_quantize_linear.QuantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) (mlprodict.onnxrt.ops_cpu.op_random.Bernoulli method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormal method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormalLike method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniform method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniformLike method) (mlprodict.onnxrt.ops_cpu.op_range.Range method) (mlprodict.onnxrt.ops_cpu.op_reciprocal.Reciprocal method) (mlprodict.onnxrt.ops_cpu.op_reduce_l1.ReduceL1 method) (mlprodict.onnxrt.ops_cpu.op_reduce_l2.ReduceL2 method) (mlprodict.onnxrt.ops_cpu.op_reduce_log_sum.ReduceLogSum method) (mlprodict.onnxrt.ops_cpu.op_reduce_log_sum_exp.ReduceLogSumExp method) (mlprodict.onnxrt.ops_cpu.op_reduce_max.ReduceMax method) (mlprodict.onnxrt.ops_cpu.op_reduce_mean.ReduceMean method) (mlprodict.onnxrt.ops_cpu.op_reduce_min.ReduceMin method) (mlprodict.onnxrt.ops_cpu.op_reduce_prod.ReduceProd method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_1 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_11 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum_square.ReduceSumSquare method) (mlprodict.onnxrt.ops_cpu.op_relu.Relu method) (mlprodict.onnxrt.ops_cpu.op_reshape.CommonReshape method) (mlprodict.onnxrt.ops_cpu.op_reshape.Reshape_14 method) (mlprodict.onnxrt.ops_cpu.op_reshape.Reshape_5 method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFTSchema method) (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) (mlprodict.onnxrt.ops_cpu.op_rnn.RNN_14 method) (mlprodict.onnxrt.ops_cpu.op_rnn.RNN_7 method) (mlprodict.onnxrt.ops_cpu.op_round.Round method) (mlprodict.onnxrt.ops_cpu.op_scaler.Scaler method) (mlprodict.onnxrt.ops_cpu.op_scan.Scan method) (mlprodict.onnxrt.ops_cpu.op_scatter_elements.ScatterElements method) (mlprodict.onnxrt.ops_cpu.op_selu.Selu method) (mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt method) (mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct method) (mlprodict.onnxrt.ops_cpu.op_sequence_insert.SequenceInsert method) (mlprodict.onnxrt.ops_cpu.op_shape.Shape method) (mlprodict.onnxrt.ops_cpu.op_sigmoid.Sigmoid method) (mlprodict.onnxrt.ops_cpu.op_sign.Sign method) (mlprodict.onnxrt.ops_cpu.op_sin.Sin method) (mlprodict.onnxrt.ops_cpu.op_sinh.Sinh method) (mlprodict.onnxrt.ops_cpu.op_size.Size method) (mlprodict.onnxrt.ops_cpu.op_slice.Slice_1 method) (mlprodict.onnxrt.ops_cpu.op_slice.Slice_10 method) (mlprodict.onnxrt.ops_cpu.op_slice.SliceCommon method) (mlprodict.onnxrt.ops_cpu.op_softmax.Softmax method) (mlprodict.onnxrt.ops_cpu.op_softmax.SoftmaxGrad_13 method) (mlprodict.onnxrt.ops_cpu.op_softmax.SoftmaxGradSchema method) (mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss.SoftmaxCrossEntropyLoss method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_solve.SolveSchema method) (mlprodict.onnxrt.ops_cpu.op_split.CommonSplit method) (mlprodict.onnxrt.ops_cpu.op_split.Split_13 method) (mlprodict.onnxrt.ops_cpu.op_split.Split_2 method) (mlprodict.onnxrt.ops_cpu.op_sqrt.Sqrt method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13 method) (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) (mlprodict.onnxrt.ops_cpu.op_sub.Sub method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifier method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierDoubleSchema method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressor method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorDoubleSchema method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tan.Tan method) (mlprodict.onnxrt.ops_cpu.op_tanh.Tanh method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer.TfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.TokenizerSchema method) (mlprodict.onnxrt.ops_cpu.op_topk._CommonTopK method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_1 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_10 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_11 method) (mlprodict.onnxrt.ops_cpu.op_transpose.Transpose method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifier_1 method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifier_3 method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierDoubleSchema method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressor_1 method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressor_3 method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorDoubleSchema method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_1 method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13 method) (mlprodict.onnxrt.ops_cpu.op_where.Where method) (mlprodict.onnxrt.ops_cpu.op_xor.Xor method) (mlprodict.onnxrt.ops_cpu.op_yield_op.YieldOp method) (mlprodict.onnxrt.ops_cpu.op_yield_op.YieldOpSchema method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMap method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) (mlprodict.onnxrt.ops_whole.session.OnnxWholeSession method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.onnxrt.shape_object.ShapeObjectFct method) (mlprodict.onnxrt.shape_object.ShapeOperator method) (mlprodict.onnxrt.shape_object.ShapeOperatorAdd method) (mlprodict.onnxrt.shape_object.ShapeOperatorGreater method) (mlprodict.onnxrt.shape_object.ShapeOperatorMax method) (mlprodict.onnxrt.shape_object.ShapeOperatorMul method) (mlprodict.onnxrt.validate.validate_benchmark_replay.SimplifiedOnnxInference method) (mlprodict.onnxrt.validate.validate_helper.RuntimeBadResultsError method) (mlprodict.sklapi.onnx_pipeline.OnnxPipeline method) (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupRegressor method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupTransformer method) (mlprodict.sklapi.onnx_tokenizer.GPT2TokenizerTransformer method) (mlprodict.sklapi.onnx_tokenizer.SentencePieceTokenizerTransformer method) (mlprodict.sklapi.onnx_tokenizer.TokenizerTransformerBase method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) (mlprodict.testing.onnx_backend.OnnxBackendTest method) (mlprodict.testing.test_utils.quantized_tensor.QuantizedBiasTensor method) (mlprodict.testing.test_utils.quantized_tensor.QuantizedTensor method) (mlprodict.testing.test_utils.utils_backend_onnxruntime.InferenceSession2 method) (mlprodict.testing.test_utils.utils_backend_python.MockVariableName method) (mlprodict.testing.test_utils.utils_backend_python.MockVariableNameShape method) (mlprodict.testing.test_utils.utils_backend_python.MockVariableNameShapeType method) (mlprodict.testing.verify_code.CodeNodeVisitor method) (mlprodict.tools.graphs.AdjacencyGraphDisplay method) (mlprodict.tools.graphs.AdjacencyGraphDisplay.Action method) (mlprodict.tools.graphs.BiGraph method) (mlprodict.tools.graphs.BiGraph.A method) (mlprodict.tools.graphs.BiGraph.B method) (mlprodict.tools.ort_wrapper.InferenceSession method) __invert__() (mlprodict.npy.onnx_variable.OnnxVar method) __iter__() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) (mlprodict.tools.graphs.AdjacencyGraphDisplay method) (mlprodict.tools.graphs.BiGraph method) __le__() (mlprodict.npy.onnx_variable.OnnxVar method) __len__() (mlprodict.npy.onnx_version.FctVersion method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.testing.onnx_backend.OnnxBackendTest method) __lt__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __matmul__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __mod__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __mul__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.onnxrt.shape_object.DimensionObject method) __name__ (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_custom_fct_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_abs_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acos_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acosh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amax_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amin_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_arange_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmax_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmin_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asin_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asinh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atan_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atanh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_ceil_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_clip_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_compress_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_concat_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cos_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cosh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cumsum_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_det_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_dot_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_einsum_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_erf_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_exp_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expand_dims_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expit_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_floor_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_hstack_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_isnan_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log1p_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_logistic_regression_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_matmul_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_mean_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_cube_32_None_onnxruntime attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_rel_diff_32_None_onnxruntime attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sq_diff_32_None_onnxruntime attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_square_32_None_onnxruntime attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sum_32_None_onnxruntime attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_pad_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_prod_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_reciprocal_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_relu_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_round_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sigmoid_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sign_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sin_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sinh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sqrt_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_squeeze_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sum_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tan_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tanh_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_topk_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_transpose_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_unsqueeze_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_vstack_None_None attribute) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_where_None_None attribute) __ne__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __neg__() (mlprodict.npy.onnx_variable.OnnxVar method) __or__() (mlprodict.npy.onnx_variable.OnnxVar method) __orig_bases__ (mlprodict.npy.onnx_numpy_annotation.NDArray attribute) __parameters__ (mlprodict.npy.onnx_numpy_annotation.NDArray attribute) __pep8() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_identify) __pow__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __radd__() (mlprodict.npy.onnx_variable.OnnxVar method) __repr__() (mlprodict.npy.numpy_onnx_impl_body.AttributeGraph method) (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias method) (mlprodict.npy.onnx_numpy_annotation.NDArraySameType method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.onnx_version.FctVersion method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorFunction method) (mlprodict.npy.xop.OnnxOperatorItem method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.npy.xop_convert.OnnxSubEstimator method) (mlprodict.npy.xop_convert.OnnxSubOnnx method) (mlprodict.npy.xop_variable.DetectedVariable method) (mlprodict.npy.xop_variable.NodeResultName method) (mlprodict.npy.xop_variable.Variable method) (mlprodict.onnx_conv.scorers.register.CustomScorerTransform method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.onnxrt.shape_object.ShapeOperator method) (mlprodict.onnxrt.shape_object.ShapeOperatorAdd method) (mlprodict.onnxrt.shape_object.ShapeOperatorGreater method) (mlprodict.onnxrt.shape_object.ShapeOperatorMax method) (mlprodict.onnxrt.shape_object.ShapeOperatorMul method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) (mlprodict.testing.onnx_backend.OnnxBackendTest method) (mlprodict.tools.graphs.AdjacencyGraphDisplay.Action method) (mlprodict.tools.graphs.BiGraph.A method) (mlprodict.tools.graphs.BiGraph.B method) __rmul__() (mlprodict.npy.onnx_variable.OnnxVar method) __rsub__() (mlprodict.npy.onnx_variable.OnnxVar method) __rtruediv__() (mlprodict.npy.onnx_variable.OnnxVar method) __setitem__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.shape_object.ShapeObject method) __setstate__() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_abs_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_acosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_amin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_arange_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmax_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_argmin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_asinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_atanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_ceil_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_clip_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_compress_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_concat_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cos_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cosh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_cumsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_det_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_dot_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_einsum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_erf_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_exp_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expand_dims_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_expit_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_floor_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_hstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_isnan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log1p_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_log_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_logistic_regression_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_matmul_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_mean_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_cube_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_rel_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sq_diff_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_square_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_onnx_sum_32_None_onnxruntime method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_pad_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_prod_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_reciprocal_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_relu_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_round_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sigmoid_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sign_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sin_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sinh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sqrt_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_squeeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_sum_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tan_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_tanh_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_topk_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_transpose_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_unsqueeze_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_vstack_None_None method) (mlprodict.npy.onnx_numpy_wrapper.onnxnumpy_nb_where_None_None method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_tokenizer.TokenizerTransformerBase method) __sizeof__() (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) __slots__ (mlprodict.npy.onnx_version.FctVersion attribute) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary attribute) __str__() (mlprodict.npy.xop.OnnxOperatorItem method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator.Parameter method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.tools.graphs.AdjacencyGraphDisplay method) (mlprodict.tools.graphs.BiGraph method) __sub__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) __truediv__() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) _abc_impl (mlprodict.sklapi.onnx_pipeline.OnnxPipeline attribute) _add_name() (mlprodict.npy.xop._GraphBuilder method) _add_node() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) _add_node_name() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) _additional_imports() (in module mlprodict.asv_benchmark._create_asv_helper) _allowed (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp attribute) _analyse_tree() (in module mlprodict.tools.model_info) _analyse_tree_h() (in module mlprodict.tools.model_info) _apply_batch_dot() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_diagonal() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_einsum_matmul() (in module mlprodict.testing.einsum.einsum_impl) _apply_expand_dims() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_id() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_matmul() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_mul() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_optimisation_on_graph() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _apply_reduce_sum() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_reduce_sum_mm() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_remove_node_fct_node() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _apply_squeeze() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_squeeze_transpose() (in module mlprodict.testing.einsum.einsum_impl) _apply_transpose() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_transpose_mm() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _apply_transpose_reshape() (in module mlprodict.testing.einsum.einsum_impl) _ArgMax (class in mlprodict.onnxrt.ops_cpu.op_argmax) _argmax() (in module mlprodict.onnxrt.ops_cpu.op_argmax) _argmax_use_numpy_select_last_index() (in module mlprodict.onnxrt.ops_cpu.op_argmax) _ArgMin (class in mlprodict.onnxrt.ops_cpu.op_argmin) _argmin() (in module mlprodict.onnxrt.ops_cpu.op_argmin) _argmin_use_numpy_select_last_index() (in module mlprodict.onnxrt.ops_cpu.op_argmin) _array_feature_extrator() (in module mlprodict.onnxrt.ops_cpu.op_array_feature_extractor) _asv_class_name() (in module mlprodict.asv_benchmark._create_asv_helper) _basic_verification() (in module mlprodict.testing.einsum.einsum_impl) _batchnorm_test_mode() (in module mlprodict.onnxrt.ops_cpu.op_batch_normalization) _batchnorm_training_mode() (in module mlprodict.onnxrt.ops_cpu.op_batch_normalization) _binary_operators (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator attribute) _build_compile_run() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _build_onnx_runtime() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) _build_onnx_runtime_numpy() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) _build_onnx_runtime_numpy_compile() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) _build_optimize() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) _build_optimize_ml() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) _build_runtime() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) _build_schemas() (in module mlprodict.onnxrt.ops_cpu._op) _byref_c() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _call_conv_runtime_opset() (in module mlprodict.onnxrt.validate.validate) _call_runtime() (in module mlprodict.onnxrt.validate.validate) _call_validate() (in module mlprodict.npy.onnx_sklearn_wrapper) _capture_output() (in module mlprodict.testing.test_utils.utils_backend_onnxruntime) _check() (mlprodict.npy.xop.OnnxOperator method) _check_() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyFunction method) (mlprodict.npy.onnx_version.FctVersion method) (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _check_arg_() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _check_arrays() (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) _check_dtype() (in module mlprodict.onnxrt.ops_cpu.op_constant) _check_fitted_() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) _check_inputs_() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _check_onnx_opset_() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _check_row_() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _check_rt() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) _check_run_benchmark() (in module mlprodict.onnxrt.validate.validate) _check_shape_() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _ClassifierCommon (class in mlprodict.onnxrt.ops_cpu._op_classifier_string) _clean_initializer_name() (in module mlprodict.onnx_tools.exports.skl2onnx_helper) _clean_operator_name() (in module mlprodict.onnx_tools.exports.skl2onnx_helper) _clean_script() (in module mlprodict.testing.script_testing) _clean_values_optim() (in module mlprodict.onnxrt.validate.validate_summary) _clean_variable_name() (in module mlprodict.onnx_tools.exports.skl2onnx_helper) _CombineModels (class in mlprodict.onnxrt.backend) _common_check_numpy_extended_dot() (in module mlprodict.testing.einsum.einsum_impl_ext) _common_converter_begin() (in module mlprodict.npy.onnx_sklearn_wrapper) _common_converter_int_t() (in module mlprodict.npy.onnx_sklearn_wrapper) _common_converter_t() (in module mlprodict.npy.onnx_sklearn_wrapper) _common_run() (mlprodict.onnxrt.ops_cpu.op_topk._CommonTopK method) _common_run_shape() (mlprodict.onnxrt.ops_cpu.op_scan.Scan method) _common_shape_calculator_int_t() (in module mlprodict.npy.onnx_sklearn_wrapper) _common_shape_calculator_t() (in module mlprodict.npy.onnx_sklearn_wrapper) _CommonAsvSklBenchmark (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkClassifier (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkClassifierRawScore (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkClustering (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkMultiClassifier (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkOutlier (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkRegressor (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkTrainableTransform (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkTransform (class in mlprodict.asv_benchmark.common_asv_skl) _CommonAsvSklBenchmarkTransformPositive (class in mlprodict.asv_benchmark.common_asv_skl) _CommonRandom (class in mlprodict.onnxrt.ops_cpu.op_random) _CommonTopK (class in mlprodict.onnxrt.ops_cpu.op_topk) _compare_expected() (in module mlprodict.testing.test_utils.utils_backend_common) _compare_results() (mlprodict.testing.onnx_backend.OnnxBackendTest method) _compute_negative_log_likelihood_loss() (in module mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss) _compute_output_row_batch_dot() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_diagonal() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_expand_dims() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_id() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_matmul() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_mul() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method)

_compute_output_row_reduce_sum() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_reduce_sum_mm() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_squeeze() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_transpose() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _compute_output_row_transpose_mm() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _convert_to_attribute() (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) _convert_to_input() (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) _converter_classifier() (in module mlprodict.npy.onnx_sklearn_wrapper) _converter_cluster() (in module mlprodict.npy.onnx_sklearn_wrapper) _converter_regressor() (in module mlprodict.npy.onnx_sklearn_wrapper) _converter_transformer() (in module mlprodict.npy.onnx_sklearn_wrapper) _coor_to_str() (in module mlprodict.asv_benchmark.asv_exports) _copy_attributes() (in module mlprodict.onnx_conv.sklconv.function_transformer_converters) _copy_c() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumType method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _copy_inout() (in module mlprodict.onnx_tools.exports.skl2onnx_helper) _copy_value_info_proto() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _create_asv_benchmark_file() (in module mlprodict.asv_benchmark.create_asv) _create_column() (in module mlprodict.testing.test_utils.utils_backend_common) _create_model() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.asv_benchmark.template.skl_model_classifier.TemplateBenchmarkClassifier method) (mlprodict.asv_benchmark.template.skl_model_classifier_raw_scores.TemplateBenchmarkClassifierRawScore method) (mlprodict.asv_benchmark.template.skl_model_clustering.TemplateBenchmarkClustering method) (mlprodict.asv_benchmark.template.skl_model_multi_classifier.TemplateBenchmarkMultiClassifier method) (mlprodict.asv_benchmark.template.skl_model_outlier.TemplateBenchmarkOutlier method) (mlprodict.asv_benchmark.template.skl_model_regressor.TemplateBenchmarkRegressor method) (mlprodict.asv_benchmark.template.skl_model_trainable_transform.TemplateBenchmarkTrainableTransform method) (mlprodict.asv_benchmark.template.skl_model_transform.TemplateBenchmarkTransform method) (mlprodict.asv_benchmark.template.skl_model_transform_positive.TemplateBenchmarkTransformPositive method) (mlprodict.sklapi.onnx_tokenizer.GPT2TokenizerTransformer static method) (mlprodict.sklapi.onnx_tokenizer.SentencePieceTokenizerTransformer static method) _create_node_id() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) _create_onnx_and_runtime() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClassifier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClassifierRawScore method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClustering method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkMultiClassifier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkOutlier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkRegressor method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkTrainableTransform method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkTransform method) _create_onnx_inference() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) _created_classes (class in mlprodict.npy.onnx_numpy_wrapper) _custom_op() (mlprodict.npy.onnx_variable.OnnxVar method) _custom_op_filter() (mlprodict.npy.onnx_variable.OnnxVar method) _custom_parser_xgboost() (in module mlprodict.onnx_conv.register) _decompose_einsum_equation_simple() (in module mlprodict.testing.einsum.einsum_impl) _default_OPSET_TO_IR_VERSION() (in module mlprodict.npy.xop) _dict2str() (in module mlprodict.asv_benchmark.asv_exports) _dictionary2str() (in module mlprodict.onnxrt.validate.validate_helper) _display_code_lines() (in module mlprodict.asv_benchmark._create_asv_helper) _dispsimple() (in module mlprodict.onnxrt.validate.validate_helper) _dofit_model() (in module mlprodict.onnxrt.validate.validate) _domain_to_class_name() (in module mlprodict.npy.xop) _download_url() (in module mlprodict.tools.zoo) _dropout() (in module mlprodict.onnxrt.ops_cpu.op_dropout) _dtype() (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) _dynamic_class_creation() (in module mlprodict.npy.xop) _edit_distance() (in module mlprodict.testing.einsum.einsum_ml) _einsum() (in module mlprodict.testing.einsum.einsum_fct) _elem_type_as_str() (in module mlprodict.onnx_tools.onnx2py_helper) _element_unary() (in module mlprodict.onnxrt.ops_shape._element_unary) _element_wise() (in module mlprodict.onnxrt.ops_shape._element_wise) _enumerate_asv_benchmark_all_models() (in module mlprodict.asv_benchmark.create_asv) _enumerate_classes() (in module mlprodict.asv_benchmark.asv_exports) _enumerate_fit_info() (in module mlprodict.testing.script_testing) _enumerate_validated_operator_opsets_ops() (in module mlprodict.onnxrt.validate.validate) _enumerate_validated_operator_opsets_version() (in module mlprodict.onnxrt.validate.validate) _evaluate_string_() (mlprodict.onnxrt.shape_object.ShapeBinaryFctOperator method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) (mlprodict.onnxrt.shape_object.ShapeOperator method) _export_c() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionBinary method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCast method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunctionCall method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionIfElse method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionReturn method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionUnary method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) (mlprodict.grammar.grammar_sklearn.grammar.gmlactions.MLModel method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _export_common_c() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) _export_json() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) (mlprodict.grammar.grammar_sklearn.grammar.gmlactions.MLModel method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _f_tanh() (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) _figures2dict() (in module mlprodict.asv_benchmark.asv_exports) _fill_node_attributes() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) _finalize() (in module mlprodict.cli.validate) _find_custom_operator_schema() (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunCustom method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgs method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDist method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_softmax.SoftmaxGrad_13 method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_yield_op.YieldOp method) _find_hidden_algebras() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) _find_operator_domain() (in module mlprodict.npy.xop) _find_static_inputs() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode static method) _fit() (mlprodict.sklapi.onnx_pipeline.OnnxPipeline method) _fix_default_values() (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) _fix_opset_skl2onnx() (in module mlprodict.onnx_conv.convert) _fix_tree_ensemble() (in module mlprodict.onnx_conv.sklconv.tree_converters) _fix_tree_ensemble_node() (in module mlprodict.onnx_conv.sklconv.tree_converters) _fmatmul00() (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul static method) _fmatmul01() (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul static method) _fmatmul10() (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul static method) _fmatmul11() (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul static method) _format_dict() (in module mlprodict.asv_benchmark._create_asv_helper) _format_value_c() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumType method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _format_value_json() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumType method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) _gemm00() (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm static method) _gemm01() (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm static method) _gemm10() (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm static method) _gemm11() (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm static method) _generate_classes() (mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBooster static method) _generate_op_doc() (in module mlprodict.npy.xop_sphinx) _get_all_schemas_with_history() (in module mlprodict.npy.xop_auto) _get_data() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _get_dataset() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkMultiClassifier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkTransformPositive method) _get_default_tree_attribute_pairs() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBClassifierConverter static method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBRegressorConverter static method) _get_doc_template() (in module mlprodict.npy.xop_auto) (in module mlprodict.onnxrt.doc.doc_helper) _get_file() (in module mlprodict.onnx_tools.onnx_export_templates) _get_forward_nodes() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) _get_info_lgb() (in module mlprodict.tools.model_info) _get_info_xgb() (in module mlprodict.tools.model_info) _get_last() (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) _get_onnx_function() (in module mlprodict.onnx_tools.onnx2py_helper) _get_output_shape() (in module mlprodict.onnxrt.ops_cpu.op_average_pool) _get_output_shape_no_ceil() (in module mlprodict.onnxrt.ops_cpu.op_average_pool) _get_output_types() (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias method) _get_pad_shape() (in module mlprodict.onnxrt.ops_cpu.op_average_pool) _get_problem_data() (in module mlprodict.onnxrt.validate.validate_helper) _get_shape() (in module mlprodict.plotting.text_plot) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference static method) _get_state() (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) _get_type() (in module mlprodict.plotting.text_plot) _get_type_property() (mlprodict.onnxrt.onnx_inference.OnnxInference static method) _get_typed_attributes() (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorCommon method) _get_typed_class_attribute() (in module mlprodict.onnxrt.ops_cpu._op_helper) _get_xdtype() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) _getat() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _global_average_pool() (in module mlprodict.onnxrt.ops_cpu.op_global_average_pool) _graph_guess_dtype() (mlprodict.npy.numpy_onnx_impl_body.AttributeGraph method) _GraphBuilder (class in mlprodict.npy.xop) _guess_dtype() (mlprodict.npy.onnx_variable.MultiOnnxVar method) (mlprodict.npy.onnx_variable.OnnxVar method) _guess_inplace() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _guess_input_dtype() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _guess_noshape() (in module mlprodict.onnxrt.validate._validate_problems_helper) _guess_proto_type() (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) _guess_type() (in module mlprodict.onnx_tools.optim.graph_schema_helper) _handle_init_files() (in module mlprodict.asv_benchmark._create_asv_helper) _has_decision_function() (in module mlprodict.testing.test_utils.tests_helper) _has_predict_proba() (in module mlprodict.testing.test_utils.tests_helper) _has_transform_model() (in module mlprodict.testing.test_utils.tests_helper) _hash_obj_content() (in module mlprodict.onnx_tools.optim.onnx_optimisation_redundant) _infer_merged_type() (mlprodict.onnxrt.shape_object.ShapeObject static method) _infer_shapes() (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunArg method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu.op_array_feature_extractor.ArrayFeatureExtractor method) (mlprodict.onnxrt.ops_cpu.op_average_pool.AveragePool method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_14 method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_9 method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgs method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_category_mapper.CategoryMapper method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDist method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_11 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_12 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_9 method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose.ConvTranspose method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_dequantize_linear.DequantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_dict_vectorizer.DictVectorizer method) (mlprodict.onnxrt.ops_cpu.op_dropout.DropoutBase method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_expand.CommonExpand method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul method) (mlprodict.onnxrt.ops_cpu.op_gather.Gather method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm method) (mlprodict.onnxrt.ops_cpu.op_global_average_pool.GlobalAveragePool method) (mlprodict.onnxrt.ops_cpu.op_if.If method) (mlprodict.onnxrt.ops_cpu.op_isinf.IsInf method) (mlprodict.onnxrt.ops_cpu.op_isnan.IsNaN method) (mlprodict.onnxrt.ops_cpu.op_label_encoder.LabelEncoder method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_cpu.op_max.Max method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_min.Min method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss.NegativeLogLikelihoodLoss method) (mlprodict.onnxrt.ops_cpu.op_not.Not method) (mlprodict.onnxrt.ops_cpu.op_one_hot_encoder.OneHotEncoder method) (mlprodict.onnxrt.ops_cpu.op_pad.Pad method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_quantize_linear.QuantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) (mlprodict.onnxrt.ops_cpu.op_range.Range method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_reshape.CommonReshape method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) (mlprodict.onnxrt.ops_cpu.op_scan.Scan method) (mlprodict.onnxrt.ops_cpu.op_scatter_elements.ScatterElements method) (mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt method) (mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct method) (mlprodict.onnxrt.ops_cpu.op_sequence_insert.SequenceInsert method) (mlprodict.onnxrt.ops_cpu.op_shape.Shape method) (mlprodict.onnxrt.ops_cpu.op_size.Size method) (mlprodict.onnxrt.ops_cpu.op_slice.Slice_1 method) (mlprodict.onnxrt.ops_cpu.op_slice.SliceCommon method) (mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss.SoftmaxCrossEntropyLoss method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_split.Split_13 method) (mlprodict.onnxrt.ops_cpu.op_split.Split_2 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13 method) (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer.TfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) (mlprodict.onnxrt.ops_cpu.op_topk._CommonTopK method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_1 method) (mlprodict.onnxrt.ops_cpu.op_transpose.Transpose method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_1 method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13 method) (mlprodict.onnxrt.ops_cpu.op_where.Where method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMap method) _infer_sizes() (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu.op_average_pool.AveragePool method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_14 method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_9 method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_category_mapper.CategoryMapper method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_11 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_12 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_9 method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_dequantize_linear.DequantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_dropout.DropoutBase method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_expand.CommonExpand method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_global_average_pool.GlobalAveragePool method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss.NegativeLogLikelihoodLoss method) (mlprodict.onnxrt.ops_cpu.op_pad.Pad method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_quantize_linear.QuantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) (mlprodict.onnxrt.ops_cpu.op_range.Range method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_reshape.CommonReshape method) (mlprodict.onnxrt.ops_cpu.op_scatter_elements.ScatterElements method) (mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt method) (mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct method) (mlprodict.onnxrt.ops_cpu.op_sequence_insert.SequenceInsert method) (mlprodict.onnxrt.ops_cpu.op_shape.Shape method) (mlprodict.onnxrt.ops_cpu.op_size.Size method) (mlprodict.onnxrt.ops_cpu.op_slice.SliceCommon method) (mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss.SoftmaxCrossEntropyLoss method) (mlprodict.onnxrt.ops_cpu.op_split.CommonSplit method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13 method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_1 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_10 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_11 method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_1 method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13 method) _infer_types() (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunArg method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryComparison method) (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu.op_array_feature_extractor.ArrayFeatureExtractor method) (mlprodict.onnxrt.ops_cpu.op_average_pool.AveragePool method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_14 method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_9 method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgs method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_category_mapper.CategoryMapper method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_11 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_12 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_9 method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose.ConvTranspose method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_dequantize_linear.DequantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_dict_vectorizer.DictVectorizer method) (mlprodict.onnxrt.ops_cpu.op_dropout.DropoutBase method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_expand.CommonExpand method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul method) (mlprodict.onnxrt.ops_cpu.op_gather.Gather method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm method) (mlprodict.onnxrt.ops_cpu.op_global_average_pool.GlobalAveragePool method) (mlprodict.onnxrt.ops_cpu.op_if.If method) (mlprodict.onnxrt.ops_cpu.op_isinf.IsInf method) (mlprodict.onnxrt.ops_cpu.op_isnan.IsNaN method) (mlprodict.onnxrt.ops_cpu.op_label_encoder.LabelEncoder method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_cpu.op_max.Max method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_min.Min method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss.NegativeLogLikelihoodLoss method) (mlprodict.onnxrt.ops_cpu.op_not.Not method) (mlprodict.onnxrt.ops_cpu.op_one_hot_encoder.OneHotEncoder method) (mlprodict.onnxrt.ops_cpu.op_pad.Pad method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_quantize_linear.QuantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_random._CommonRandom method) (mlprodict.onnxrt.ops_cpu.op_range.Range method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_reshape.CommonReshape method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) (mlprodict.onnxrt.ops_cpu.op_scatter_elements.ScatterElements method) (mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt method) (mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct method) (mlprodict.onnxrt.ops_cpu.op_sequence_insert.SequenceInsert method) (mlprodict.onnxrt.ops_cpu.op_shape.Shape method) (mlprodict.onnxrt.ops_cpu.op_size.Size method) (mlprodict.onnxrt.ops_cpu.op_slice.Slice_1 method) (mlprodict.onnxrt.ops_cpu.op_slice.SliceCommon method) (mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss.SoftmaxCrossEntropyLoss method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_split.CommonSplit method) (mlprodict.onnxrt.ops_cpu.op_split.Split_13 method) (mlprodict.onnxrt.ops_cpu.op_split.Split_2 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13 method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer.TfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) (mlprodict.onnxrt.ops_cpu.op_topk._CommonTopK method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_1 method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_1 method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13 method) (mlprodict.onnxrt.ops_cpu.op_where.Where method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMap method) _init() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose.ConvTranspose method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorCommon method) (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) (mlprodict.testing.test_utils.quantized_tensor.QuantizedTensor method) _insert_diff() (in module mlprodict.npy.xop_auto) _internal_decorator() (in module mlprodict.npy.onnx_sklearn_wrapper) _internal_method_decorator() (in module mlprodict.npy.onnx_sklearn_wrapper) _is_rotation() (in module mlprodict.testing.einsum.einsum_ml) _is_stacked() (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) _jsonify() (in module mlprodict.onnxrt.validate.validate_summary) _leaky_relu() (in module mlprodict.onnxrt.ops_cpu.op_leaky_relu) _leaky_relu_inplace() (in module mlprodict.onnxrt.ops_cpu.op_leaky_relu) _load() (mlprodict.testing.onnx_backend.OnnxBackendTest static method) _make_array() (mlprodict.npy.onnx_variable.OnnxVar method) _make_att_graph() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _make_callable() (in module mlprodict.onnxrt.validate.validate_python) _make_einsum_model() (in module mlprodict.testing.einsum.einsum_bench) _make_inputs() (in module mlprodict.testing.einsum.einsum_bench) _make_node() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _make_numpy_code_onnx() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _make_numpy_code_onnxml() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _make_numpy_code_others() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _make_opset() (in module mlprodict.onnxrt.doc.doc_write_helper) _make_sure_inputs() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _make_sure_opsets() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _make_tuple() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode static method) _mat (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary attribute) _measure_time() (in module mlprodict.onnxrt.validate.validate_helper) (in module mlprodict.testing.einsum.einsum_bench) _merge_op_version() (mlprodict.npy.xop.OnnxOperator static method) _merge_options() (in module mlprodict.onnxrt.validate.validate_helper) _model_name() (in module mlprodict.plotting.plotting_validate_graph) _modify_dimension() (in module mlprodict.onnxrt.validate.validate_problems) _multiply_time_kwargs() (in module mlprodict.onnxrt.validate.validate_helper) _MyEncoder (class in mlprodict.onnxrt.validate.validate_summary) _name() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) _name_mapping() (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) _NDArrayAlias (class in mlprodict.npy.onnx_numpy_annotation) _node_to_graph() (mlprodict.npy.xop.OnnxOperator method) _node_to_graph_get_type() (mlprodict.npy.xop.OnnxOperator static method) _node_to_graph_preprocess_list() (mlprodict.npy.xop.OnnxOperator static method) _node_to_graph_process_input() (mlprodict.npy.xop.OnnxOperator static method) _node_to_graph_reorder_by_name() (mlprodict.npy.xop.OnnxOperator static method) _nodes() (in module mlprodict.onnx_tools.onnx_export) _norm_L1_inplace() (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer static method) _norm_max_inplace() (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer static method) _noshapevar() (in module mlprodict.onnxrt.validate._validate_problems_helper) _numpy2onnx_op (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator attribute) _numpy_array() (in module mlprodict.onnx_tools.onnx2py_helper) _numpy_dot_inplace_left() (in module mlprodict.onnxrt.ops_cpu._op_numpy_helper) _numpy_dot_inplace_right() (in module mlprodict.onnxrt.ops_cpu._op_numpy_helper) _numpy_extended_dot_equation() (in module mlprodict.testing.einsum.einsum_impl_ext) _numpy_extended_dot_python_intermediate() (in module mlprodict.testing.einsum.einsum_impl_ext) _numpy_extended_dot_python_l1l2l3() (in module mlprodict.testing.einsum.einsum_impl_ext) _numpy_extended_dot_python_update_broadcast() (in module mlprodict.testing.einsum.einsum_impl_ext) _onnx2bigraph_basic() (mlprodict.tools.graphs.BiGraph static method) _onnx2bigraph_simplified() (mlprodict.tools.graphs.BiGraph static method) _onnx_name() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _OnnxPipelineStepSpeedup (class in mlprodict.sklapi.onnx_speed_up) _op_abs() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_add() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_concat() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_gather() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_gemm() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_identity() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_matmul() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_max() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_mul() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_reduceprod() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_reducesum() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_reshape() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_shape() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_squeeze() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_transpose() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _op_type_domain_classifier() (in module mlprodict.onnx_conv.sklconv.svm_converters) (in module mlprodict.onnx_conv.sklconv.tree_converters) _op_type_domain_regressor() (in module mlprodict.onnx_conv.sklconv.svm_converters) (in module mlprodict.onnx_conv.sklconv.tree_converters) _op_unsqueeze() (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) _OPSETS (mlprodict.onnx_tools.exports.tf2onnx_helper.tf_op attribute) _optimize_onnx() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) _optional_parameters() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunctionCall method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorDot method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorTake method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorVector method) _pad_impl() (in module mlprodict.onnxrt.ops_cpu.op_pad) _parameter_mapping (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator attribute) _parse_annotation() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) _parse_node() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) _parse_tree_structure() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) _pick_shape() (mlprodict.onnxrt.ops_cpu.op_if.If method) _pick_type() (mlprodict.onnxrt.ops_cpu.op_if.If method) _pool() (in module mlprodict.onnxrt.ops_cpu.op_average_pool) _pool_get_output_shape() (in module mlprodict.onnxrt.ops_cpu.op_max_pool) _pool_impl() (in module mlprodict.onnxrt.ops_cpu.op_max_pool) _populate() (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) _populate__get_all_schemas_with_history() (in module mlprodict.npy.xop_auto) _populate_schemas() (in module mlprodict.npy.xop) _post_process() (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) _post_process_attributes() (mlprodict.npy.xop.OnnxOperator method) _post_process_label_attributes() (mlprodict.onnxrt.ops_cpu._op_classifier_string._ClassifierCommon method) _post_process_output() (in module mlprodict.testing.test_utils.utils_backend_common) _post_process_predicted_label() (mlprodict.onnxrt.ops_cpu._op_classifier_string._ClassifierCommon method) _pprint_forward() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) _preprocess() (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer method) _preprocess_options() (mlprodict.sklapi.onnx_pipeline.OnnxPipeline method) _private_get_file() (in module mlprodict.onnx_tools.onnx_export_templates) _private_run() (mlprodict.onnxrt.ops_cpu.op_dropout.DropoutBase method) _problem_for_cl_decision_function() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_cl_decision_function_binary() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_clnoproba() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_clnoproba_binary() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_clustering() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_clustering_scores() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_dict_vectorizer() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_feature_hasher() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_label_encoder() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_mixture() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_numerical_scoring() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_numerical_trainable_transform() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_numerical_trainable_transform_cl() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_numerical_transform() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_numerical_transform_positive() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_one_hot_encoder() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_outlier() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_predictor_binary_classification() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_predictor_multi_classification() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_predictor_multi_classification_label() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_predictor_multi_regression() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_predictor_regression() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_tfidf_transformer() (in module mlprodict.onnxrt.validate.validate_problems) _problem_for_tfidf_vectorizer() (in module mlprodict.onnxrt.validate.validate_problems) _process_io() (mlprodict.npy.xop._GraphBuilder method) _process_type() (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias static method) _random_input() (in module mlprodict.onnxrt.validate.validate_latency) _raw_score_binary_classification() (in module mlprodict.testing.test_utils.tests_helper) _read_patterns() (in module mlprodict.asv_benchmark._create_asv_helper) _read_proto_from_file() (mlprodict.testing.onnx_backend.OnnxBackendTest static method) _reduce_infos() (in module mlprodict.tools.model_info) _register_converters_lightgbm() (in module mlprodict.onnx_conv.register) _register_converters_mlinsights() (in module mlprodict.onnx_conv.register) _register_converters_skl2onnx() (in module mlprodict.onnx_conv.register) _register_converters_xgboost() (in module mlprodict.onnx_conv.register) _register_handler() (mlprodict.onnx_tools.exports.tf2onnx_helper.tf_op method) _relu() (in module mlprodict.testing.einsum.einsum_ml) _remap_nodeid() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) _remove_stopwords() (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) _rename_graph_input() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _rename_graph_output() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _rename_node_input() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _rename_node_output() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _replace() (in module mlprodict.onnx_tools.optim._onnx_optimisation_common) _replace_node_sequence() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) _replace_tensor_type() (in module mlprodict.onnx_conv.convert) _reset_cache() (mlprodict.grammar.grammar_sklearn.grammar.api_extension.AutoAction method) _retrieve_class_parameters() (in module mlprodict.asv_benchmark.asv_exports) _retrieve_problems_extra() (in module mlprodict.onnxrt.validate.validate) _rev_keys (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary attribute) _run() (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNumpy method) (mlprodict.onnxrt.ops_cpu.op_abs.Abs method) (mlprodict.onnxrt.ops_cpu.op_acos.Acos method) (mlprodict.onnxrt.ops_cpu.op_acosh.Acosh method) (mlprodict.onnxrt.ops_cpu.op_and.And method) (mlprodict.onnxrt.ops_cpu.op_argmax._ArgMax method) (mlprodict.onnxrt.ops_cpu.op_argmax.ArgMax_12 method) (mlprodict.onnxrt.ops_cpu.op_argmin._ArgMin method) (mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_12 method) (mlprodict.onnxrt.ops_cpu.op_array_feature_extractor.ArrayFeatureExtractor method) (mlprodict.onnxrt.ops_cpu.op_asin.Asin method) (mlprodict.onnxrt.ops_cpu.op_asinh.Asinh method) (mlprodict.onnxrt.ops_cpu.op_atan.Atan method) (mlprodict.onnxrt.ops_cpu.op_atanh.Atanh method) (mlprodict.onnxrt.ops_cpu.op_average_pool.AveragePool method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_14 method) (mlprodict.onnxrt.ops_cpu.op_batch_normalization.BatchNormalization_9 method) (mlprodict.onnxrt.ops_cpu.op_binarizer.Binarizer method) (mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args.BroadcastGradientArgs method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_category_mapper.CategoryMapper method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDist method) (mlprodict.onnxrt.ops_cpu.op_ceil.Ceil method) (mlprodict.onnxrt.ops_cpu.op_celu.Celu method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_6 method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_11 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_12 method) (mlprodict.onnxrt.ops_cpu.op_constant.Constant_9 method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_conv.Conv method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose.ConvTranspose method) (mlprodict.onnxrt.ops_cpu.op_cos.Cos method) (mlprodict.onnxrt.ops_cpu.op_cosh.Cosh method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_dequantize_linear.DequantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_dict_vectorizer.DictVectorizer method) (mlprodict.onnxrt.ops_cpu.op_div.Div method) (mlprodict.onnxrt.ops_cpu.op_dropout.Dropout_12 method) (mlprodict.onnxrt.ops_cpu.op_dropout.Dropout_7 method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_elu.Elu method) (mlprodict.onnxrt.ops_cpu.op_equal.Equal method) (mlprodict.onnxrt.ops_cpu.op_erf.Erf method) (mlprodict.onnxrt.ops_cpu.op_exp.Exp method) (mlprodict.onnxrt.ops_cpu.op_expand.CommonExpand method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_feature_vectorizer.FeatureVectorizer method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_flatten.Flatten method) (mlprodict.onnxrt.ops_cpu.op_floor.Floor method) (mlprodict.onnxrt.ops_cpu.op_fused_matmul.FusedMatMul method) (mlprodict.onnxrt.ops_cpu.op_gather.Gather method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_gemm.Gemm method) (mlprodict.onnxrt.ops_cpu.op_global_average_pool.GlobalAveragePool method) (mlprodict.onnxrt.ops_cpu.op_greater.Greater method) (mlprodict.onnxrt.ops_cpu.op_greater.GreaterOrEqual method) (mlprodict.onnxrt.ops_cpu.op_hard_sigmoid.HardSigmoid method) (mlprodict.onnxrt.ops_cpu.op_hardmax.Hardmax method) (mlprodict.onnxrt.ops_cpu.op_identity.Identity method) (mlprodict.onnxrt.ops_cpu.op_if.If method) (mlprodict.onnxrt.ops_cpu.op_imputer.Imputer method) (mlprodict.onnxrt.ops_cpu.op_isinf.IsInf method) (mlprodict.onnxrt.ops_cpu.op_isnan.IsNaN method) (mlprodict.onnxrt.ops_cpu.op_label_encoder.LabelEncoder method) (mlprodict.onnxrt.ops_cpu.op_leaky_relu.LeakyRelu method) (mlprodict.onnxrt.ops_cpu.op_less.Less method) (mlprodict.onnxrt.ops_cpu.op_less.LessOrEqual method) (mlprodict.onnxrt.ops_cpu.op_linear_classifier.LinearClassifier method) (mlprodict.onnxrt.ops_cpu.op_linear_regressor.LinearRegressor method) (mlprodict.onnxrt.ops_cpu.op_log.Log method) (mlprodict.onnxrt.ops_cpu.op_log_softmax.LogSoftmax method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_cpu.op_lp_normalization.LpNormalization method) (mlprodict.onnxrt.ops_cpu.op_matmul.MatMul method) (mlprodict.onnxrt.ops_cpu.op_max_pool.MaxPool method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_neg.Neg method) (mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss.NegativeLogLikelihoodLoss method) (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer method) (mlprodict.onnxrt.ops_cpu.op_not.Not method) (mlprodict.onnxrt.ops_cpu.op_one_hot_encoder.OneHotEncoder method) (mlprodict.onnxrt.ops_cpu.op_or.Or method) (mlprodict.onnxrt.ops_cpu.op_pad.Pad method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv.QLinearConv method) (mlprodict.onnxrt.ops_cpu.op_quantize_linear.QuantizeLinear method) (mlprodict.onnxrt.ops_cpu.op_random.Bernoulli method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormal method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormalLike method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniform method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniformLike method) (mlprodict.onnxrt.ops_cpu.op_range.Range method) (mlprodict.onnxrt.ops_cpu.op_reciprocal.Reciprocal method) (mlprodict.onnxrt.ops_cpu.op_reduce_l1.ReduceL1 method) (mlprodict.onnxrt.ops_cpu.op_reduce_l2.ReduceL2 method) (mlprodict.onnxrt.ops_cpu.op_reduce_log_sum.ReduceLogSum method) (mlprodict.onnxrt.ops_cpu.op_reduce_log_sum_exp.ReduceLogSumExp method) (mlprodict.onnxrt.ops_cpu.op_reduce_max.ReduceMax method) (mlprodict.onnxrt.ops_cpu.op_reduce_mean.ReduceMean method) (mlprodict.onnxrt.ops_cpu.op_reduce_min.ReduceMin method) (mlprodict.onnxrt.ops_cpu.op_reduce_prod.ReduceProd method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_1 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum_square.ReduceSumSquare method) (mlprodict.onnxrt.ops_cpu.op_relu.Relu method) (mlprodict.onnxrt.ops_cpu.op_reshape.CommonReshape method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) (mlprodict.onnxrt.ops_cpu.op_round.Round method) (mlprodict.onnxrt.ops_cpu.op_scaler.Scaler method) (mlprodict.onnxrt.ops_cpu.op_scan.Scan method) (mlprodict.onnxrt.ops_cpu.op_scatter_elements.ScatterElements method) (mlprodict.onnxrt.ops_cpu.op_selu.Selu method) (mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt method) (mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct method) (mlprodict.onnxrt.ops_cpu.op_sequence_insert.SequenceInsert method) (mlprodict.onnxrt.ops_cpu.op_shape.Shape method) (mlprodict.onnxrt.ops_cpu.op_sigmoid.Sigmoid method) (mlprodict.onnxrt.ops_cpu.op_sign.Sign method) (mlprodict.onnxrt.ops_cpu.op_sin.Sin method) (mlprodict.onnxrt.ops_cpu.op_sinh.Sinh method) (mlprodict.onnxrt.ops_cpu.op_size.Size method) (mlprodict.onnxrt.ops_cpu.op_slice.Slice_1 method) (mlprodict.onnxrt.ops_cpu.op_slice.SliceCommon method) (mlprodict.onnxrt.ops_cpu.op_softmax.Softmax method) (mlprodict.onnxrt.ops_cpu.op_softmax.SoftmaxGrad_13 method) (mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss.SoftmaxCrossEntropyLoss method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_split.Split_13 method) (mlprodict.onnxrt.ops_cpu.op_split.Split_2 method) (mlprodict.onnxrt.ops_cpu.op_sqrt.Sqrt method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_1 method) (mlprodict.onnxrt.ops_cpu.op_squeeze.Squeeze_13 method) (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier.SVMClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor.SVMRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_tan.Tan method) (mlprodict.onnxrt.ops_cpu.op_tanh.Tanh method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer.TfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_1 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_10 method) (mlprodict.onnxrt.ops_cpu.op_topk.TopK_11 method) (mlprodict.onnxrt.ops_cpu.op_transpose.Transpose method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier.TreeEnsembleClassifierCommon method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor.TreeEnsembleRegressorCommon method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_1 method) (mlprodict.onnxrt.ops_cpu.op_unsqueeze.Unsqueeze_13 method) (mlprodict.onnxrt.ops_cpu.op_where.Where method) (mlprodict.onnxrt.ops_cpu.op_xor.Xor method) (mlprodict.onnxrt.ops_cpu.op_yield_op.YieldOp method) (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMap method) _run_char_tokenization() (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) _run_column() (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) _run_empty() (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference method) _run_inplace() (mlprodict.onnxrt.ops_cpu.op_abs.Abs method) (mlprodict.onnxrt.ops_cpu.op_acos.Acos method) (mlprodict.onnxrt.ops_cpu.op_acosh.Acosh method) (mlprodict.onnxrt.ops_cpu.op_asin.Asin method) (mlprodict.onnxrt.ops_cpu.op_asinh.Asinh method) (mlprodict.onnxrt.ops_cpu.op_atan.Atan method) (mlprodict.onnxrt.ops_cpu.op_atanh.Atanh method) (mlprodict.onnxrt.ops_cpu.op_cast.Cast method) (mlprodict.onnxrt.ops_cpu.op_cast.CastLike method) (mlprodict.onnxrt.ops_cpu.op_ceil.Ceil method) (mlprodict.onnxrt.ops_cpu.op_celu.Celu method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_6 method) (mlprodict.onnxrt.ops_cpu.op_cos.Cos method) (mlprodict.onnxrt.ops_cpu.op_cosh.Cosh method) (mlprodict.onnxrt.ops_cpu.op_erf.Erf method) (mlprodict.onnxrt.ops_cpu.op_exp.Exp method) (mlprodict.onnxrt.ops_cpu.op_floor.Floor method) (mlprodict.onnxrt.ops_cpu.op_hard_sigmoid.HardSigmoid method) (mlprodict.onnxrt.ops_cpu.op_leaky_relu.LeakyRelu method) (mlprodict.onnxrt.ops_cpu.op_log.Log method) (mlprodict.onnxrt.ops_cpu.op_log_softmax.LogSoftmax method) (mlprodict.onnxrt.ops_cpu.op_lp_normalization.LpNormalization method) (mlprodict.onnxrt.ops_cpu.op_mean.Mean method) (mlprodict.onnxrt.ops_cpu.op_reciprocal.Reciprocal method) (mlprodict.onnxrt.ops_cpu.op_relu.Relu method) (mlprodict.onnxrt.ops_cpu.op_round.Round method) (mlprodict.onnxrt.ops_cpu.op_scaler.Scaler method) (mlprodict.onnxrt.ops_cpu.op_sign.Sign method) (mlprodict.onnxrt.ops_cpu.op_sin.Sin method) (mlprodict.onnxrt.ops_cpu.op_sinh.Sinh method) (mlprodict.onnxrt.ops_cpu.op_softmax.Softmax method) (mlprodict.onnxrt.ops_cpu.op_sqrt.Sqrt method) (mlprodict.onnxrt.ops_cpu.op_tan.Tan method) (mlprodict.onnxrt.ops_cpu.op_tanh.Tanh method) _run_no_checks_() (mlprodict.onnxrt.ops_cpu._op.OpRunArg method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNum method) (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnaryNum method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_cpu.op_scaler.Scaler method) _run_regex_tokenization() (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) _run_sep_tokenization() (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) _run_sequence_runtime() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _run_sequence_runtime_compiled() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _run_skl_prediction() (in module mlprodict.onnxrt.validate.validate) _run_tokenization() (mlprodict.onnxrt.ops_cpu.op_tokenizer.Tokenizer method) _run_whole_runtime() (mlprodict.onnxrt.onnx_inference.OnnxInference method) _same_() (mlprodict.onnxrt.shape_object.DimensionObject static method) _save_model_dump() (in module mlprodict.testing.test_utils.tests_helper) _score_metric() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClassifier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClassifierRawScore method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkClustering method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkMultiClassifier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkOutlier method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkRegressor method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkTrainableTransform method) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmarkTransform method) _select_pattern_problem() (in module mlprodict.asv_benchmark._create_asv_helper) _set_shape_inference_runtime() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) _set_size_inference_runtime() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) _set_type_inference_runtime() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) _setitem1i_() (mlprodict.npy.onnx_variable.OnnxVar method) _setitem2i_() (mlprodict.npy.onnx_variable.OnnxVar method) _shape_calculator_classifier() (in module mlprodict.npy.onnx_sklearn_wrapper) _shape_calculator_cluster() (in module mlprodict.npy.onnx_sklearn_wrapper) _shape_calculator_regressor() (in module mlprodict.npy.onnx_sklearn_wrapper) _shape_calculator_transformer() (in module mlprodict.npy.onnx_sklearn_wrapper) _shape_exc() (in module mlprodict.onnxrt.validate.validate_helper) _side_by_side_by_values_inputs() (in module mlprodict.onnxrt.validate.side_by_side) _simplify() (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) _skl2onnx_add_to_container() (in module mlprodict.npy.onnx_sklearn_wrapper) _sklearn_subfolder() (in module mlprodict.asv_benchmark._create_asv_helper) _sort() (mlprodict.testing.onnx_backend.OnnxBackendTest static method) _sparse_array() (in module mlprodict.onnx_tools.onnx2py_helper) _split_tree_ensemble_atts() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) _step() (mlprodict.onnxrt.ops_cpu.op_rnn.CommonRNN method) _summary_report_indices() (in module mlprodict.onnxrt.validate.validate_summary) _to_array() (in module mlprodict.onnx_tools.onnx2py_helper) _to_onnx() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.xop_convert.OnnxSubEstimator static method) (mlprodict.sklapi.onnx_pipeline.OnnxPipeline method) (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) _to_onnx_batch_dot() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_expand_dims() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_id() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_mul() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_reduce_sum() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_shape() (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) _to_onnx_sklearn() (mlprodict.npy.xop_convert.OnnxSubEstimator static method) _to_onnx_squeeze() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_onnx_transpose() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) _to_python_numpy() (mlprodict.onnxrt.ops_cpu._op.OpRun method) _to_string1() (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) _to_string2() (mlprodict.onnxrt.shape_object.ShapeBinaryFctOperator method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) _to_string2b() (mlprodict.onnxrt.shape_object.ShapeBinaryFctOperator method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) _to_string3() (mlprodict.onnxrt.shape_object.ShapeBinaryFctOperator method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) _trait_default_generators (mlprodict.nb_helper.OnnxNotebook attribute) _translate_split_criterion() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) _try_onnx() (in module mlprodict.testing.script_testing) _type_to_string() (in module mlprodict.onnx_tools.onnx2py_helper) _unary_operators (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator attribute) _update_module() (in module mlprodict.npy.xop_auto_import_) _update_test_metadata() (in module mlprodict.asv_benchmark.asv_exports) _validate_onnx_data() (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) _validate_runtime_dict() (in module mlprodict.cli.validate) _validate_runtime_separate_process() (in module mlprodict.cli.validate) _values (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary attribute) _var_as_dict() (in module mlprodict.onnx_tools.onnx2py_helper) _vcelu1() (in module mlprodict.onnxrt.ops_cpu.op_celu)

A

Abs (class in mlprodict.onnxrt.ops_cpu.op_abs) abs() (in module mlprodict.npy.numpy_onnx_impl) Acos (class in mlprodict.onnxrt.ops_cpu.op_acos) acos() (in module mlprodict.npy.numpy_onnx_impl) Acosh (class in mlprodict.onnxrt.ops_cpu.op_acosh) acosh() (in module mlprodict.npy.numpy_onnx_impl) Add (class in mlprodict.onnxrt.ops_cpu.op_add) add() (mlprodict.tools.graphs.AdjacencyGraphDisplay method) add_function() (mlprodict.npy.xop._GraphBuilder method) add_info() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) add_initializer() (mlprodict.npy.xop._GraphBuilder method) add_model_import_init() (in module mlprodict.asv_benchmark._create_asv_helper) add_node() (mlprodict.npy.xop._GraphBuilder method) add_onnx_graph() (in module mlprodict.onnx_tools.exports.skl2onnx_helper) add_to() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorBase method) (mlprodict.npy.xop.OnnxOperatorFunction method) (mlprodict.npy.xop.OnnxOperatorItem method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.npy.xop_convert.OnnxSubOnnx method) add_variable_to_clean() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) adjacency_matrix() (mlprodict.tools.graphs.BiGraph method) AdjacencyGraphDisplay (class in mlprodict.tools.graphs) AdjacencyGraphDisplay.Action (class in mlprodict.tools.graphs) algebric function amax() (in module mlprodict.npy.numpy_onnx_impl) amin() (in module mlprodict.npy.numpy_onnx_impl) analyse_einsum_equation() (in module mlprodict.testing.einsum.einsum_impl) analyze_model() (in module mlprodict.tools.model_info) And (class in mlprodict.onnxrt.ops_cpu.op_and) and_() (mlprodict.npy.xop.OnnxOperator method) annotate_heatmap() (in module mlprodict.plotting.plotting_benchmark) API append() (mlprodict.npy.onnx_numpy_wrapper._created_classes method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) apply() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) apply_einsum_sequence() (in module mlprodict.testing.einsum.einsum_impl) apply_sequence() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) arange() (in module mlprodict.npy.numpy_onnx_impl) ArgMax (in module mlprodict.onnxrt.ops_cpu.op_argmax) argmax() (in module mlprodict.npy.numpy_onnx_impl) ArgMax_11 (class in mlprodict.onnxrt.ops_cpu.op_argmax) ArgMax_12 (class in mlprodict.onnxrt.ops_cpu.op_argmax) argmax_use_numpy_select_last_index() (in module mlprodict.onnx_tools.exports.numpy_helper) ArgMin (in module mlprodict.onnxrt.ops_cpu.op_argmin)

argmin() (in module mlprodict.npy.numpy_onnx_impl) ArgMin_11 (class in mlprodict.onnxrt.ops_cpu.op_argmin) ArgMin_12 (class in mlprodict.onnxrt.ops_cpu.op_argmin) argmin_use_numpy_select_last_index() (in module mlprodict.onnx_tools.exports.numpy_helper) args_default (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper property) (mlprodict.onnxrt.ops_cpu._op.OpRun property) args_default_modified (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper property) (mlprodict.onnxrt.ops_cpu._op.OpRun property) args_mandatory (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper property) (mlprodict.onnxrt.ops_cpu._op.OpRun property) args_optional (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper property) (mlprodict.onnxrt.ops_cpu._op.OpRun property) array_feature_extractor_double() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) array_feature_extractor_float() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) array_feature_extractor_int64() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) array_feature_extrator() (in module mlprodict.onnx_tools.exports.numpy_helper) ArrayFeatureExtractor (class in mlprodict.onnxrt.ops_cpu.op_array_feature_extractor) ArrayZipMapDictionary (class in mlprodict.onnxrt.ops_cpu.op_zipmap) as_string() (mlprodict.npy.onnx_version.FctVersion method) as_tuple() (mlprodict.npy.onnx_version.FctVersion method) as_tuple_with_sep() (mlprodict.npy.onnx_version.FctVersion method) Asin (class in mlprodict.onnxrt.ops_cpu.op_asin) asin() (in module mlprodict.npy.numpy_onnx_impl) Asinh (class in mlprodict.onnxrt.ops_cpu.op_asinh) asinh() (in module mlprodict.npy.numpy_onnx_impl) assert_almost_equal() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupRegressor method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupTransformer method) assert_almost_equal_string() (in module mlprodict.testing.onnx_backend) astype() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) astype_range() (in module mlprodict.onnx_tools.model_checker) asv2csv() (in module mlprodict.cli.asv2csv) asv_bench() (in module mlprodict.cli.asv_bench) Atan (class in mlprodict.onnxrt.ops_cpu.op_atan) atan() (in module mlprodict.npy.numpy_onnx_impl) Atanh (class in mlprodict.onnxrt.ops_cpu.op_atanh) atanh() (in module mlprodict.npy.numpy_onnx_impl) attr() (mlprodict.onnx_conv.operator_converters.parse_lightgbm.MockWrappedLightGbmBoosterClassifier method) attribute_to_value() (mlprodict.npy.xop.OnnxOperatorFunction static method) AttributeGraph (class in mlprodict.npy.numpy_onnx_impl_body) atts_value (mlprodict.onnxrt.ops_cpu._op.OpRun property) AutoAction (class in mlprodict.grammar.grammar_sklearn.grammar.api_extension) Automatically creates an asv benchmark AutoType (class in mlprodict.grammar.grammar_sklearn.grammar.api_extension) AveragePool (class in mlprodict.onnxrt.ops_cpu.op_average_pool)

B

base_values_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) BaseDimensionShape (class in mlprodict.onnxrt.shape_object) BatchNormalization (in module mlprodict.onnxrt.ops_cpu.op_batch_normalization) BatchNormalization_14 (class in mlprodict.onnxrt.ops_cpu.op_batch_normalization) BatchNormalization_9 (class in mlprodict.onnxrt.ops_cpu.op_batch_normalization) benchmark benchmark_doc() (in module mlprodict.cli.validate) benchmark_fct() (in module mlprodict.onnxrt.validate.validate_benchmark) benchmark_replay() (in module mlprodict.cli.replay) Bernoulli (class in mlprodict.onnxrt.ops_cpu.op_random) BiGraph (class in mlprodict.tools.graphs) BiGraph.A (class in mlprodict.tools.graphs)

BiGraph.B (class in mlprodict.tools.graphs) Binarizer (class in mlprodict.onnxrt.ops_cpu.op_binarizer) binary_array_to_string() (in module mlprodict.testing.test_utils.tests_helper) BitShift (class in mlprodict.onnxrt.ops_cpu.op_bitshift) blog broadcast() (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult static method) (mlprodict.onnxrt.shape_object.ShapeObject method) BroadcastGradientArgs (class in mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args) BroadcastGradientArgsSchema (class in mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args) BroadcastMatrixAddLeftInplaceDouble() (in module mlprodict.testing.experimental_c_impl.experimental_c) BroadcastMatrixAddLeftInplaceFloat() (in module mlprodict.testing.experimental_c_impl.experimental_c) BroadcastMatrixAddLeftInplaceInt64() (in module mlprodict.testing.experimental_c_impl.experimental_c) build() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) build_custom_scenarios() (in module mlprodict.onnx_conv.validate_scenarios) (in module mlprodict.onnxrt.validate.validate_scenarios) build_einsum() (mlprodict.testing.einsum.einsum_fct.CachedEinsum static method) build_intermediate() (mlprodict.onnxrt.onnx_inference.OnnxInference method) build_key_split() (in module mlprodict.onnxrt.doc.doc_write_helper) build_onnx_einsum() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) build_runtime() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method)

C

cache() (mlprodict.grammar.grammar_sklearn.grammar.api_extension.AutoAction static method) cache_folder() (in module mlprodict.npy._cache) CachedEinsum (class in mlprodict.testing.einsum.einsum_fct) calculate_lightgbm_output_shapes() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) Cast (class in mlprodict.onnxrt.ops_cpu.op_cast) cast() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLType method) CastLike (class in mlprodict.onnxrt.ops_cpu.op_cast) CategoryMapper (class in mlprodict.onnxrt.ops_cpu.op_category_mapper) CDist (class in mlprodict.onnxrt.ops_cpu.op_cdist) CDistSchema (class in mlprodict.onnxrt.ops_cpu.op_cdist) Ceil (class in mlprodict.onnxrt.ops_cpu.op_ceil) ceil() (in module mlprodict.npy.numpy_onnx_impl) Celu (class in mlprodict.onnxrt.ops_cpu.op_celu) change_input_first_dimension() (in module mlprodict.onnx_tools.optim.onnx_helper) change_style() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_identify) (in module mlprodict.onnxrt.doc.doc_helper) check() (in module mlprodict) check_is_almost_equal() (in module mlprodict.testing.model_verification) check_method_name() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) check_model() (mlprodict.onnxrt.onnx_inference.OnnxInference method) check_model_representation() (in module mlprodict.testing.model_verification) check_type() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_type_helpers) ChildrenResults (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction property) class_count_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) class_ids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) class_nodeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) class_treeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) class_weights_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) ClassFactory() (in module mlprodict.npy.xop) classifier() (in module mlprodict.npy.numpy_onnx_impl_skl) classlabels_int64s_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) clean_error_msg() (in module mlprodict.tools.cleaning) clean_unused_nodes() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) Clip (in module mlprodict.onnxrt.ops_cpu.op_clip) clip() (in module mlprodict.npy.numpy_onnx_impl) Clip_11 (class in mlprodict.onnxrt.ops_cpu.op_clip) Clip_6 (class in mlprodict.onnxrt.ops_cpu.op_clip) cluster() (in module mlprodict.npy.numpy_onnx_impl_skl) code_optimisation() (in module mlprodict.testing.experimental_c_impl.experimental_c) CodeNodeVisitor (class in mlprodict.onnx_tools.onnx_grammar.node_visitor_translator) (class in mlprodict.testing.verify_code) CodeTranslator (class in mlprodict.onnx_tools.onnx_grammar.onnx_translator) columns (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary property) common_members() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) CommonExpand (class in mlprodict.onnxrt.ops_cpu.op_expand) CommonReshape (class in mlprodict.onnxrt.ops_cpu.op_reshape) CommonRNN (class in mlprodict.onnxrt.ops_cpu.op_rnn) CommonSplit (class in mlprodict.onnxrt.ops_cpu.op_split) compare_backend() (in module mlprodict.testing.test_utils.utils_backend) compare_outputs() (in module mlprodict.testing.test_utils.utils_backend_common) compare_runtime() (in module mlprodict.testing.test_utils.utils_backend_onnxruntime) (in module mlprodict.testing.test_utils.utils_backend_python) compare_runtime_session() (in module mlprodict.testing.test_utils.utils_backend_common_compare) CompilationError compile_c_function() (in module mlprodict.grammar.cc.c_compilation) ComplexAbs (class in mlprodict.onnxrt.ops_cpu.op_complex_abs) ComplexAbsSchema (class in mlprodict.onnxrt.ops_cpu.op_complex_abs) compose_page_onnxrt_ops() (in module mlprodict.onnxrt.doc.doc_write_helper) Compress (class in mlprodict.onnxrt.ops_cpu.op_compress) compress() (in module mlprodict.npy.numpy_onnx_impl) compute() (mlprodict.onnxrt.ops_cpu.op_conv_.ConvDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_.ConvFloat method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeFloat method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherDouble method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherFloat method) (mlprodict.onnxrt.ops_cpu.op_gather_.GatherInt64 method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolDouble method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolFloat method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvInt8 method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvUInt8 method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method)

compute_benchmark() (in module mlprodict.testing.test_utils.tests_helper) compute_output_row() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) compute_transposition_features() (in module mlprodict.testing.einsum.einsum_ml) compute_tree_outputs() (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) Computes statistics on an ONNX graph Concat (class in mlprodict.onnxrt.ops_cpu.op_concat) concat() (in module mlprodict.npy.numpy_onnx_impl) concat_columns() (mlprodict.onnxrt.shape_object.ShapeObject method) ConcatFromSequence (class in mlprodict.onnxrt.ops_cpu.op_concat_from_sequence) consecutive_leaf_data_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) Constant (in module mlprodict.onnxrt.ops_cpu.op_constant) Constant_11 (class in mlprodict.onnxrt.ops_cpu.op_constant) Constant_12 (class in mlprodict.onnxrt.ops_cpu.op_constant) Constant_9 (class in mlprodict.onnxrt.ops_cpu.op_constant) ConstantOfShape (class in mlprodict.onnxrt.ops_cpu.op_constant_of_shape) Conv (class in mlprodict.onnxrt.ops_cpu.op_conv) ConvDouble (class in mlprodict.onnxrt.ops_cpu.op_conv_) convert() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBClassifierConverter static method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBRegressorConverter static method) convert_lightgbm() (in module mlprodict.onnx_conv.operator_converters.conv_lightgbm) convert_model() (in module mlprodict.testing.test_utils.tests_helper) convert_score_cdist_sum() (in module mlprodict.onnx_conv.scorers.cdist_score) convert_scorer() (in module mlprodict.onnx_conv.convert) convert_transfer_transformer() (in module mlprodict.onnx_conv.operator_converters.conv_transfer_transformer) convert_validate() (in module mlprodict.cli.convert_validate) convert_xgboost() (in module mlprodict.onnx_conv.operator_converters.conv_xgboost) converter_lightgbm_concat() (in module mlprodict.onnx_conv.operator_converters.parse_lightgbm) converters Converts and compares an ONNX file Converts asv results into csv ConvFloat (class in mlprodict.onnxrt.ops_cpu.op_conv_) ConvTranspose (class in mlprodict.onnxrt.ops_cpu.op_conv_transpose) ConvTransposeDouble (class in mlprodict.onnxrt.ops_cpu.op_conv_transpose_) ConvTransposeFloat (class in mlprodict.onnxrt.ops_cpu.op_conv_transpose_) copy() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraintList method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) (mlprodict.onnxrt.shape_object.ShapeObject method) copy_add() (mlprodict.npy.xop_variable.Variable method) copy_merge() (mlprodict.npy.xop_variable.Variable method) copy_name() (mlprodict.npy.xop_variable.Variable method) Cos (class in mlprodict.onnxrt.ops_cpu.op_cos) cos() (in module mlprodict.npy.numpy_onnx_impl) Cosh (class in mlprodict.onnxrt.ops_cpu.op_cosh) cosh() (in module mlprodict.npy.numpy_onnx_impl) create_asv_benchmark() (in module mlprodict.asv_benchmark.create_asv) create_inference_session() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendMicro class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendOrt class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendPyC class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendPyEval class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendShape class method) create_tensor() (in module mlprodict.testing.test_utils) cst() (in module mlprodict.npy.numpy_onnx_impl) CTypeSingle (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle property) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor property) CumSum (class in mlprodict.onnxrt.ops_cpu.op_cum_sum) cumsum() (in module mlprodict.npy.numpy_onnx_impl) custom_einsum() (in module mlprodict.testing.experimental) custom_einsum_double() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_einsum_float() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_einsum_int32() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_einsum_int64() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_pad() (in module mlprodict.testing.experimental) custom_reducesum_rk_double() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_reducesum_rk_float() (in module mlprodict.testing.experimental_c_impl.experimental_c) custom_scorer_transform_converter() (in module mlprodict.onnx_conv.scorers.register) custom_scorer_transform_parser() (in module mlprodict.onnx_conv.scorers.register) custom_scorer_transform_shape_calculator() (in module mlprodict.onnx_conv.scorers.register) CustomScorerTransform (class in mlprodict.onnx_conv.scorers.register)

D

DEBUG (class in mlprodict.onnxrt.ops_cpu.op_debug) debug_dump() (in module mlprodict.tools.code_helper) debug_onnx_object() (in module mlprodict.onnxrt.doc.doc_helper) debug_print() (in module mlprodict.tools.code_helper) debug_threshold() (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) DEBUGSchema (class in mlprodict.onnxrt.ops_cpu.op_debug) decompose_einsum_equation() (in module mlprodict.testing.einsum.einsum_impl) default() (mlprodict.onnxrt.validate.validate_summary._MyEncoder method) default_inputs() (mlprodict.testing.einsum.einsum_fct.CachedEinsum method) default_time_kwargs() (in module mlprodict.onnxrt.validate.validate_helper) DefaultNone (class in mlprodict.onnxrt.ops_cpu._op) depart() (mlprodict.onnx_tools.onnx_grammar.onnx_translator.CodeTranslator method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) DequantizeLinear (class in mlprodict.onnxrt.ops_cpu.op_dequantize_linear) Det (class in mlprodict.onnxrt.ops_cpu.op_det) det() (in module mlprodict.npy.numpy_onnx_impl) DetectedVariable (class in mlprodict.npy.xop_variable) device_to_providers() (in module mlprodict.tools.onnx_inference_ort_helper) dgemm_dot() (in module mlprodict.testing.einsum.direct_blas_lapack) DictVectorizer (class in mlprodict.onnxrt.ops_cpu.op_dict_vectorizer) dim (mlprodict.onnxrt.shape_object.DimensionObject property) DimensionObject (class in mlprodict.onnxrt.shape_object)

display_onnx() (in module mlprodict.tools.asv_options_helper) display_sequence() (mlprodict.onnxrt.onnx_inference.OnnxInference method) display_structure() (mlprodict.tools.graphs.BiGraph method) Div (class in mlprodict.onnxrt.ops_cpu.op_div) documentation dot() (in module mlprodict.npy.numpy_onnx_impl) dot_label() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) download_model_data() (in module mlprodict.tools.zoo) drop_axis() (mlprodict.onnxrt.shape_object.ShapeObject method) Dropout (in module mlprodict.onnxrt.ops_cpu.op_dropout) Dropout_12 (class in mlprodict.onnxrt.ops_cpu.op_dropout) Dropout_7 (class in mlprodict.onnxrt.ops_cpu.op_dropout) DropoutBase (class in mlprodict.onnxrt.ops_cpu.op_dropout) dtype (mlprodict.npy.xop_variable.Variable property) (mlprodict.onnxrt.shape_object.ShapeObject property) dtype_name() (in module mlprodict.onnxrt.ops_cpu._op_helper) dump_binary_classification() (in module mlprodict.testing.test_utils.tests_helper) dump_booster_model() (in module mlprodict.onnx_conv.helpers.lgbm_helper) dump_data_and_model() (in module mlprodict.testing.test_utils.tests_helper) dump_into_folder() (in module mlprodict.onnxrt.validate.validate_helper) dump_lgbm_booster() (in module mlprodict.onnx_conv.helpers.lgbm_helper) dump_model() (mlprodict.onnx_conv.operator_converters.parse_lightgbm.MockWrappedLightGbmBoosterClassifier method) dump_multilabel_classification() (in module mlprodict.testing.test_utils.tests_helper) dump_multiple_classification() (in module mlprodict.testing.test_utils.tests_helper) dump_multiple_regression() (in module mlprodict.testing.test_utils.tests_helper) dump_one_class_classification() (in module mlprodict.testing.test_utils.tests_helper) dump_single_regression() (in module mlprodict.testing.test_utils.tests_helper) dynamic_doc() (in module mlprodict.cli.onnx_code)

E

Einsum (class in mlprodict.onnxrt.ops_cpu.op_einsum) einsum() (in module mlprodict.npy.numpy_onnx_impl) (in module mlprodict.testing.einsum.einsum_fct) einsum_benchmark() (in module mlprodict.testing.einsum.einsum_bench) einsum_shape() (mlprodict.onnxrt.shape_object.ShapeObject static method) einsum_test() (in module mlprodict.cli.einsum) EinsumSubOp (class in mlprodict.testing.einsum.einsum_impl_classes) Elu (class in mlprodict.onnxrt.ops_cpu.op_elu) empty_shape_calculator() (in module mlprodict.onnx_conv.scorers.register) enable_inplace_compute() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) end_profiling() (mlprodict.tools.ort_wrapper.InferenceSession method) ensure_topological_order() (in module mlprodict.onnx_tools.onnx_tools) enumerate_benchmark_replay() (in module mlprodict.onnxrt.validate.validate_benchmark_replay) enumerate_cached_einsum() (in module mlprodict.testing.einsum.einsum_fct) enumerate_compatible_opset() (in module mlprodict.onnxrt.validate.validate) enumerate_create() (mlprodict.sklapi.onnx_transformer.OnnxTransformer static method) enumerate_export_asv_json() (in module mlprodict.asv_benchmark.asv_exports) enumerate_fitted_arrays() (in module mlprodict.onnx_tools.optim.sklearn_helper) enumerate_model_node_outputs() (in module mlprodict.onnx_tools.onnx_manipulations) enumerate_models() (in module mlprodict.tools.model_info) enumerate_onnx_tests() (in module mlprodict.testing.onnx_backend) enumerate_pipeline_models() (in module mlprodict.onnx_tools.optim.sklearn_helper) enumerate_random_inputs() (in module mlprodict.onnx_tools.model_checker) enumerate_validated_operator_opsets() (in module mlprodict.onnxrt.validate.validate) enumerate_variables() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) enumerate_visual_onnx_representation_into_rst() (in module mlprodict.onnxrt.doc.doc_write_helper) Equal (class in mlprodict.onnxrt.ops_cpu.op_equal) Erf (class in mlprodict.onnxrt.ops_cpu.op_erf) erf() (in module mlprodict.npy.numpy_onnx_impl) evaluate() (mlprodict.onnxrt.shape_object.BaseDimensionShape method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.onnxrt.shape_object.ShapeObjectFct method) (mlprodict.onnxrt.shape_object.ShapeOperator method) evaluate_condition() (in module mlprodict.testing.test_utils.utils_backend_common) execute() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCast method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionConcat method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionFunction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionIfElse method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionReturn method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionAdd method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionSign method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionTestEqual method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_num.MLActionTestInf method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorDot method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorTake method) (mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor.MLActionTensorVector method)

Exp (class in mlprodict.onnxrt.ops_cpu.op_exp) exp() (in module mlprodict.npy.numpy_onnx_impl) Expand (in module mlprodict.onnxrt.ops_cpu.op_expand) Expand_13 (class in mlprodict.onnxrt.ops_cpu.op_expand) expand_dims() (in module mlprodict.npy.numpy_onnx_impl) expand_onnx_options() (in module mlprodict.tools.asv_options_helper) ExpectedAssertionError experimental_ut_add() (in module mlprodict.testing.experimental_c_impl.experimental_c) experimental_ut_einsum() (in module mlprodict.testing.experimental_c_impl.experimental_c) experimental_ut_reduce() (in module mlprodict.testing.experimental_c_impl.experimental_c) expit() (in module mlprodict.npy.numpy_onnx_impl) export() (mlprodict.grammar.grammar_sklearn.grammar.api_extension.AutoAction method) (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.CodeTranslator method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) export2numpy() (in module mlprodict.onnx_tools.onnx_export) export2onnx() (in module mlprodict.onnx_tools.onnx_export) export2tf2onnx() (in module mlprodict.onnx_tools.onnx_export) export2xop() (in module mlprodict.onnx_tools.onnx_export) export_asv_json() (in module mlprodict.asv_benchmark.asv_exports) export_template() (in module mlprodict.onnx_tools.onnx_export) Exports an ONNX graph into a python code creating the same graph. extract_information_from_filename() (in module mlprodict.tools.filename_helper) extract_options() (in module mlprodict.testing.test_utils.utils_backend_common) EyeLike (class in mlprodict.onnxrt.ops_cpu.op_eyelike)

F

f() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorBase method) (mlprodict.npy.xop.OnnxOperatorItem method) FctVersion (class in mlprodict.npy.onnx_version) feature_name() (mlprodict.onnx_conv.operator_converters.parse_lightgbm.MockWrappedLightGbmBoosterClassifier method) FeatureVectorizer (class in mlprodict.onnxrt.ops_cpu.op_feature_vectorizer) FFT (class in mlprodict.onnxrt.ops_cpu.op_fft) FFT2D (class in mlprodict.onnxrt.ops_cpu.op_fft2d) FFT2DSchema (class in mlprodict.onnxrt.ops_cpu.op_fft2d) FFTSchema (class in mlprodict.onnxrt.ops_cpu.op_fft) fill_tree_attributes() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) filter_rows() (in module mlprodict.onnxrt.doc.doc_write_helper) find_missing_sklearn_imports() (in module mlprodict.asv_benchmark._create_asv_helper) find_named_inputs() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorBase method) (mlprodict.npy.xop.OnnxOperatorItem method) find_node_input_name() (in module mlprodict.onnx_tools.onnx_tools) find_node_name() (in module mlprodict.onnx_tools.onnx_tools) find_schema() (mlprodict.npy.xop.OnnxOperator method) find_sklearn_module() (in module mlprodict.asv_benchmark._create_asv_helper) find_suitable_problem() (in module mlprodict.onnx_conv.validate_scenarios) (in module mlprodict.onnxrt.validate.validate_problems) fit() (mlprodict.sklapi.onnx_pipeline.OnnxPipeline method) (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupRegressor method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupTransformer method) (mlprodict.sklapi.onnx_tokenizer.GPT2TokenizerTransformer method) (mlprodict.sklapi.onnx_tokenizer.SentencePieceTokenizerTransformer method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method)

fit_classification_model() (in module mlprodict.testing.test_utils.tests_helper) fit_classification_model_simple() (in module mlprodict.testing.test_utils.tests_helper) fit_multilabel_classification_model() (in module mlprodict.testing.test_utils.tests_helper) fit_regression_model() (in module mlprodict.testing.test_utils.tests_helper) fit_transform() (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) fix_missing_imports() (in module mlprodict.asv_benchmark.asv_exports) Flatten (class in mlprodict.onnxrt.ops_cpu.op_flatten) flatten() (mlprodict.npy.onnx_variable.OnnxVar method) Float32InfError Floor (class in mlprodict.onnxrt.ops_cpu.op_floor) floor() (in module mlprodict.npy.numpy_onnx_impl) format_value() (mlprodict.grammar.grammar_sklearn.grammar.api_extension.AutoType method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator.Parameter static method) formatted_value (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator.Parameter property) from_array() (in module mlprodict.onnx_tools.onnx2py_helper) from_bytes() (in module mlprodict.onnx_tools.onnx2py_helper) from_pb() (in module mlprodict.onnx_tools.onnx2py_helper) (mlprodict.npy.xop_variable.Variable static method) from_skl2onnx() (mlprodict.npy.xop_variable.Variable static method) FusedMatMul (class in mlprodict.onnxrt.ops_cpu.op_fused_matmul) FusedMatMulSchema (class in mlprodict.onnxrt.ops_cpu.op_fused_matmul)

G

Gather (class in mlprodict.onnxrt.ops_cpu.op_gather) gather_numpy() (in module mlprodict.onnxrt.ops_cpu.op_gather_elements) gather_shape() (mlprodict.onnxrt.shape_object.ShapeObject static method) GatherDouble (class in mlprodict.onnxrt.ops_cpu.op_gather_) GatherElements (class in mlprodict.onnxrt.ops_cpu.op_gather_elements) GatherFloat (class in mlprodict.onnxrt.ops_cpu.op_gather_) GatherInt64 (class in mlprodict.onnxrt.ops_cpu.op_gather_) Gemm (class in mlprodict.onnxrt.ops_cpu.op_gemm) gemm_dot() (in module mlprodict.testing.einsum.blas_lapack) generic_visit() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.testing.verify_code.CodeNodeVisitor method) generic_visit_args() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.testing.verify_code.CodeNodeVisitor method) get() (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) get_all_constraints() (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) get_args_kwargs() (in module mlprodict.npy.onnx_numpy_annotation) get_default_context() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) get_default_context_cpl() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) get_defined_inputs() (in module mlprodict.onnx_tools.optim.graph_schema_helper) get_defined_outputs() (in module mlprodict.onnx_tools.optim.graph_schema_helper) get_domain_list() (in module mlprodict.npy.xop_auto) get_dot_kind() (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) get_dtype() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) get_dtype_shape() (in module mlprodict.onnx_tools.onnx2py_helper) get_execution_order() (mlprodict.onnxrt.onnx_inference.OnnxInference method) get_input_names() (mlprodict.npy.xop._GraphBuilder method) get_inputs() (mlprodict.testing.test_utils.utils_backend_onnxruntime.InferenceSession2 method) (mlprodict.testing.test_utils.utils_backend_python.OnnxInference2 method) (mlprodict.tools.ort_wrapper.InferenceSession method) get_inputs_from_data() (in module mlprodict.onnx_conv.convert) get_inputs_outputs() (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias method) get_ir_version() (in module mlprodict) get_max_value() (in module mlprodict.onnx_tools.exports.tf2onnx_helper) get_name() (mlprodict.npy.xop_variable.NodeResultName method) get_new_name() (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) get_node_by_name() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) get_numpy_template() (in module mlprodict.onnx_tools.onnx_export_templates) get_objective() (mlprodict.onnx_conv.operator_converters.parse_lightgbm.WrappedLightGbmBooster method) get_onnx_example() (in module mlprodict.npy.xop_auto) get_onnx_schema() (in module mlprodict.onnx_tools.onnx2py_helper)

get_onnx_template() (in module mlprodict.onnx_tools.onnx_export_templates) get_operator_schemas() (in module mlprodict.npy.xop_auto) get_ort_device() (in module mlprodict.tools.onnx_inference_ort_helper) get_output_result() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorItem method) get_outputs() (mlprodict.testing.test_utils.utils_backend_onnxruntime.InferenceSession2 method) (mlprodict.testing.test_utils.utils_backend_python.OnnxInference2 method) (mlprodict.tools.ort_wrapper.InferenceSession method) get_profiling() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.ops_whole.session.OnnxWholeSession method) get_rst_doc() (in module mlprodict.npy.xop_auto) (in module mlprodict.onnxrt.doc.doc_helper) get_shape() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) get_tf2onnx_template() (in module mlprodict.onnx_tools.onnx_export_templates) get_unique_name() (mlprodict.npy.xop._GraphBuilder method) get_unique_output_name() (mlprodict.npy.xop._GraphBuilder method) get_xgb_params() (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) get_xop_template() (in module mlprodict.onnx_tools.onnx_export_templates) global_index() (mlprodict.onnxrt.onnx_inference.OnnxInference method) GlobalAveragePool (class in mlprodict.onnxrt.ops_cpu.op_global_average_pool) glossary GPT2TokenizerTransformer (class in mlprodict.sklapi.onnx_tokenizer) graph (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder property) graph_execution() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLAction method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst method) (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionVar method) GraphBuilder (class in mlprodict.onnx_tools.exports.tf2onnx_helper) GraphEinsumSubOp (class in mlprodict.testing.einsum.einsum_impl_classes) Greater (class in mlprodict.onnxrt.ops_cpu.op_greater) GreaterOrEqual (class in mlprodict.onnxrt.ops_cpu.op_greater) guess_dtype() (in module mlprodict.onnx_tools.onnx2py_helper) guess_initial_types() (in module mlprodict.onnx_conv.convert) guess_numpy_type() (in module mlprodict.npy.xop_variable) guess_numpy_type_from_dtype() (in module mlprodict.onnx_tools.onnx2py_helper) guess_numpy_type_from_string() (in module mlprodict.onnx_tools.onnx2py_helper) guess_proto_dtype() (in module mlprodict.onnx_tools.onnx2py_helper) guess_proto_dtype_name() (in module mlprodict.onnx_tools.onnx2py_helper) guess_schema_from_data() (in module mlprodict.onnx_conv.convert) guess_schema_from_model() (in module mlprodict.onnx_conv.convert) guess_type() (mlprodict.grammar.grammar_sklearn.grammar.gactions.MLActionCst static method)

H

Hardmax (class in mlprodict.onnxrt.ops_cpu.op_hardmax) HardSigmoid (class in mlprodict.onnxrt.ops_cpu.op_hard_sigmoid) has_missing_tracks_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property)

hash_onnx_object() (in module mlprodict.onnx_tools.onnx_manipulations) heatmap() (in module mlprodict.plotting.plotting_benchmark) hstack() (in module mlprodict.npy.numpy_onnx_impl)

I

identify_interpreter() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_identify) Identity (class in mlprodict.onnxrt.ops_cpu.op_identity) identity() (in module mlprodict.npy.numpy_onnx_impl) If (class in mlprodict.onnxrt.ops_cpu.op_if) if_then_else (class in mlprodict.npy.numpy_onnx_impl_body) ImperfectPythonCode Imputer (class in mlprodict.onnxrt.ops_cpu.op_imputer) infer_shapes() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) infer_sizes() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) infer_types() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) InferenceSession (class in mlprodict.tools.ort_wrapper) InferenceSession2 (class in mlprodict.testing.test_utils.utils_backend_onnxruntime) InferShapeGather() (in module mlprodict.onnxrt.ops_cpu.op_gather_) init() (mlprodict.onnxrt.ops_cpu.op_conv_.ConvDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_.ConvFloat method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeDouble method) (mlprodict.onnxrt.ops_cpu.op_conv_transpose_.ConvTransposeFloat method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolDouble method) (mlprodict.onnxrt.ops_cpu.op_max_pool_.MaxPoolFloat method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvInt8 method) (mlprodict.onnxrt.ops_cpu.op_qlinear_conv_.QLinearConvUInt8 method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_.RuntimeTfIdfVectorizer method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method)

input_names (mlprodict.npy.xop_convert.OnnxSubOnnx property) (mlprodict.onnxrt.backend._CombineModels property) (mlprodict.onnxrt.onnx_inference.OnnxInference property) (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime property) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference property) (mlprodict.onnxrt.validate.validate_benchmark_replay.SimplifiedOnnxInference property) input_names_shapes (mlprodict.onnxrt.onnx_inference.OnnxInference property) input_names_shapes_types (mlprodict.onnxrt.onnx_inference.OnnxInference property) InputDetectedVariable (class in mlprodict.npy.xop_variable) InputNames (mlprodict.grammar.grammar_sklearn.grammar.gmlactions.MLModel property) inputs (mlprodict.npy.onnx_variable.MultiOnnxVar property) (mlprodict.npy.xop.OnnxOperatorItem property) (mlprodict.npy.xop.OnnxOperatorTuple property) inputs_args (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode property) insert() (mlprodict.onnxrt.shape_object.ShapeObject method) insert_node() (in module mlprodict.onnx_tools.onnx_tools) insert_results_into_onnx() (in module mlprodict.onnx_tools.onnx_manipulations) inspect_sklearn_model() (in module mlprodict.onnx_tools.optim.sklearn_helper) intermediate results interpret_options_from_string() (in module mlprodict.onnxrt.validate.validate_scenarios) Investigates whether or not the decomposing einsum is faster. iris_data() (in module mlprodict.testing.model_verification) is_backend_enabled() (in module mlprodict.testing.test_utils.utils_backend_common) is_compatible() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) is_last_schema() (in module mlprodict.npy.xop_auto) is_named() (mlprodict.npy.xop_variable.Variable method) is_numpy_dtype() (in module mlprodict.npy.xop_variable) is_opset_supported() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) is_random() (mlprodict.testing.onnx_backend.OnnxBackendTest method) is_transpose_identity() (in module mlprodict.testing.einsum.einsum_impl) IsInf (class in mlprodict.onnxrt.ops_cpu.op_isinf) iskeyword() (in module mlprodict.onnxrt.onnx_inference) IsNaN (class in mlprodict.onnxrt.ops_cpu.op_isnan) isnan() (in module mlprodict.npy.numpy_onnx_impl) items() (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method)

K

keys() (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method)

L

LabelEncoder (class in mlprodict.onnxrt.ops_cpu.op_label_encoder) latency() (in module mlprodict.cli.validate) (in module mlprodict.onnxrt.validate.validate_latency) LeakyRelu (class in mlprodict.onnxrt.ops_cpu.op_leaky_relu) Less (class in mlprodict.onnxrt.ops_cpu.op_less) LessOrEqual (class in mlprodict.onnxrt.ops_cpu.op_less) lightgbm_parser() (in module mlprodict.onnx_conv.operator_converters.parse_lightgbm) linear_regression() (in module mlprodict.npy.numpy_onnx_impl_skl) LinearClassifier (class in mlprodict.onnxrt.ops_cpu.op_linear_classifier) LinearRegressor (class in mlprodict.onnxrt.ops_cpu.op_linear_regressor) load_audit() (in module mlprodict.onnxrt.validate.data) load_data() (in module mlprodict.tools.zoo) load_data_and_model() (in module mlprodict.testing.test_utils.utils_backend_common)

load_ipython_extension() (in module mlprodict) load_op() (in module mlprodict.onnxrt.ops) (in module mlprodict.onnxrt.ops_cpu) (in module mlprodict.onnxrt.ops_empty) (in module mlprodict.onnxrt.ops_onnxruntime) loadop() (in module mlprodict.npy.xop) Log (class in mlprodict.onnxrt.ops_cpu.op_log) log() (in module mlprodict.npy.numpy_onnx_impl) log1p() (in module mlprodict.npy.numpy_onnx_impl) logistic_regression() (in module mlprodict.npy.numpy_onnx_impl_skl) LogSoftmax (class in mlprodict.onnxrt.ops_cpu.op_log_softmax) Loop (class in mlprodict.onnxrt.ops_cpu.op_loop) LpNormalization (class in mlprodict.onnxrt.ops_cpu.op_lp_normalization)

M

main() (in module mlprodict.__main__) make_callable() (in module mlprodict.tools.code_helper) make_const() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) make_hash_bytes() (in module mlprodict.tools.graphs) make_model() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) make_msg() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) make_n_rows() (in module mlprodict.onnxrt.validate.validate_benchmark) make_name() (in module mlprodict.onnx_tools.exports.tf2onnx_helper) make_node() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) make_numpy_code() (in module mlprodict.onnx_tools.exports.numpy_helper) (mlprodict.onnx_tools.exports.numpy_helper.NumpyCode method) make_readable_title() (in module mlprodict.tools.filename_helper) make_slice() (in module mlprodict.onnx_tools.exports.numpy_helper) (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) make_squeeze() (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) make_sure() (in module mlprodict.onnx_tools.exports.tf2onnx_helper) make_tf2onnx_code() (in module mlprodict.onnx_tools.exports.tf2onnx_helper) make_unsqueeze() (mlprodict.onnx_tools.exports.tf2onnx_helper.GraphBuilder method) make_value_info() (in module mlprodict.onnx_tools.onnx2py_helper) (mlprodict.npy.xop_variable.Variable method) map_onnx_to_numpy_type() (in module mlprodict.onnx_tools.exports.tf2onnx_helper) mark() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) mark_last_node() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) MatMul (class in mlprodict.onnxrt.ops_cpu.op_matmul) matmul() (in module mlprodict.npy.numpy_onnx_impl) Max (class in mlprodict.onnxrt.ops_cpu.op_max) max_depth() (in module mlprodict.onnx_tools.optim.sklearn_helper) max_supported_opset() (in module mlprodict.npy.xop_variable) MaxPool (class in mlprodict.onnxrt.ops_cpu.op_max_pool) MaxPoolDouble (class in mlprodict.onnxrt.ops_cpu.op_max_pool_) MaxPoolFloat (class in mlprodict.onnxrt.ops_cpu.op_max_pool_) Mean (class in mlprodict.onnxrt.ops_cpu.op_mean) mean() (in module mlprodict.npy.numpy_onnx_impl) measure_relative_difference() (in module mlprodict.onnxrt.validate.validate_difference) measure_time() (in module mlprodict.onnxrt.validate.validate_helper) Measures model latency, [1] merge() (mlprodict.onnxrt.ops_shape.shape_result.ShapeConstraint method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) merge_benchmark() (in module mlprodict.onnxrt.validate.validate_summary) merge_results() (in module mlprodict.onnxrt.validate.side_by_side) Min (class in mlprodict.onnxrt.ops_cpu.op_min) missing_tracks_true_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) MissingOperatorError MissingVariableError MLAction (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionAdd (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_num) MLActionBinary (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionCast (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionConcat (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionCst (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionFunction (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionFunctionCall (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionIfElse (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionReturn (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionSign (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_num) MLActionTensorAdd (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorDiv (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorDot (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorMul (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorSub (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorTake (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTensorVector (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor) MLActionTestEqual (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_num) MLActionTestInf (class in mlprodict.grammar.grammar_sklearn.grammar.gactions_num) MLActionUnary (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLActionVar (class in mlprodict.grammar.grammar_sklearn.grammar.gactions) MLModel (class in mlprodict.grammar.grammar_sklearn.grammar.gmlactions) MLNumType (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeBool (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeFloat32 (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeFloat64 (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeInt32 (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeInt64 (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLNumTypeSingle (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) mlprodict module mlprodict.__main__ module mlprodict.asv_benchmark module mlprodict.asv_benchmark._create_asv_helper module mlprodict.asv_benchmark.asv_exports module mlprodict.asv_benchmark.common_asv_skl module mlprodict.asv_benchmark.create_asv module mlprodict.asv_benchmark.template.skl_model_classifier module mlprodict.asv_benchmark.template.skl_model_classifier_raw_scores module mlprodict.asv_benchmark.template.skl_model_clustering module mlprodict.asv_benchmark.template.skl_model_multi_classifier module mlprodict.asv_benchmark.template.skl_model_outlier module mlprodict.asv_benchmark.template.skl_model_regressor module mlprodict.asv_benchmark.template.skl_model_trainable_transform module mlprodict.asv_benchmark.template.skl_model_transform module mlprodict.asv_benchmark.template.skl_model_transform_positive module mlprodict.cli module mlprodict.cli.asv2csv module mlprodict.cli.asv_bench module mlprodict.cli.convert_validate module mlprodict.cli.einsum module mlprodict.cli.onnx_code module mlprodict.cli.optimize module mlprodict.cli.replay module mlprodict.cli.validate module mlprodict.grammar.cc module mlprodict.grammar.cc.c_compilation module mlprodict.grammar.grammar_sklearn module mlprodict.grammar.grammar_sklearn.g_sklearn_identify module mlprodict.grammar.grammar_sklearn.g_sklearn_linear_model module mlprodict.grammar.grammar_sklearn.g_sklearn_main module mlprodict.grammar.grammar_sklearn.g_sklearn_preprocessing module mlprodict.grammar.grammar_sklearn.g_sklearn_tree module mlprodict.grammar.grammar_sklearn.g_sklearn_type_helpers module mlprodict.grammar.grammar_sklearn.grammar module mlprodict.grammar.grammar_sklearn.grammar.api_extension module mlprodict.grammar.grammar_sklearn.grammar.exc module mlprodict.grammar.grammar_sklearn.grammar.gactions module mlprodict.grammar.grammar_sklearn.grammar.gactions_num module mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor module mlprodict.grammar.grammar_sklearn.grammar.gmlactions module mlprodict.grammar.grammar_sklearn.grammar.gtypes module mlprodict.nb_helper module mlprodict.npy module mlprodict.npy._cache module mlprodict.npy.numpy_onnx_impl module mlprodict.npy.numpy_onnx_impl_body module mlprodict.npy.numpy_onnx_impl_skl module mlprodict.npy.numpy_onnx_pyrt module mlprodict.npy.numpy_onnx_pyrt_skl module mlprodict.npy.onnx_numpy_annotation module mlprodict.npy.onnx_numpy_compiler module mlprodict.npy.onnx_numpy_wrapper module mlprodict.npy.onnx_sklearn_wrapper module mlprodict.npy.onnx_variable module mlprodict.npy.onnx_version module mlprodict.npy.xop module mlprodict.npy.xop_auto module mlprodict.npy.xop_auto_import_ module mlprodict.npy.xop_convert module mlprodict.npy.xop_opset module mlprodict.npy.xop_sphinx module mlprodict.npy.xop_variable module mlprodict.onnx_conv module mlprodict.onnx_conv.convert module mlprodict.onnx_conv.helpers.lgbm_helper module mlprodict.onnx_conv.onnx_ops module mlprodict.onnx_conv.onnx_ops.onnx_complex module mlprodict.onnx_conv.onnx_ops.onnx_fft module mlprodict.onnx_conv.onnx_ops.onnx_gradient_op module mlprodict.onnx_conv.onnx_ops.onnx_tokenizer module mlprodict.onnx_conv.operator_converters module mlprodict.onnx_conv.operator_converters.conv_lightgbm module mlprodict.onnx_conv.operator_converters.conv_transfer_transformer module mlprodict.onnx_conv.operator_converters.conv_xgboost module mlprodict.onnx_conv.operator_converters.parse_lightgbm module mlprodict.onnx_conv.register module mlprodict.onnx_conv.register_rewritten_converters module mlprodict.onnx_conv.scorers module mlprodict.onnx_conv.scorers.cdist_score module mlprodict.onnx_conv.scorers.register module mlprodict.onnx_conv.sklconv module mlprodict.onnx_conv.sklconv.function_transformer_converters module mlprodict.onnx_conv.sklconv.svm_converters module mlprodict.onnx_conv.sklconv.tree_converters module mlprodict.onnx_conv.validate_scenarios module mlprodict.onnx_tools module mlprodict.onnx_tools.exports.numpy_helper module mlprodict.onnx_tools.exports.skl2onnx_helper module mlprodict.onnx_tools.exports.tf2onnx_helper module mlprodict.onnx_tools.model_checker module mlprodict.onnx_tools.onnx2py_helper module mlprodict.onnx_tools.onnx_export module mlprodict.onnx_tools.onnx_export_templates module mlprodict.onnx_tools.onnx_grammar module mlprodict.onnx_tools.onnx_grammar.node_visitor_translator module mlprodict.onnx_tools.onnx_grammar.onnx_translation module mlprodict.onnx_tools.onnx_grammar.onnx_translator module mlprodict.onnx_tools.onnx_manipulations module mlprodict.onnx_tools.onnx_tools module mlprodict.onnx_tools.optim module mlprodict.onnx_tools.optim._main_onnx_optim module mlprodict.onnx_tools.optim._onnx_optimisation_common module mlprodict.onnx_tools.optim.graph_schema_helper module mlprodict.onnx_tools.optim.onnx_helper module mlprodict.onnx_tools.optim.onnx_optimisation module mlprodict.onnx_tools.optim.onnx_optimisation_identity module mlprodict.onnx_tools.optim.onnx_optimisation_redundant module mlprodict.onnx_tools.optim.onnx_optimisation_unused module mlprodict.onnx_tools.optim.sklearn_helper module mlprodict.onnxrt module mlprodict.onnxrt.backend module mlprodict.onnxrt.backend_micropy module mlprodict.onnxrt.backend_ort module mlprodict.onnxrt.backend_py module mlprodict.onnxrt.backend_pyc module mlprodict.onnxrt.backend_pyeval module mlprodict.onnxrt.backend_shape module mlprodict.onnxrt.doc module mlprodict.onnxrt.doc.doc_helper module mlprodict.onnxrt.doc.doc_write_helper module mlprodict.onnxrt.excs module mlprodict.onnxrt.onnx_inference module mlprodict.onnxrt.onnx_inference_exports module mlprodict.onnxrt.onnx_inference_node module mlprodict.onnxrt.onnx_micro_runtime module mlprodict.onnxrt.onnx_shape_inference module mlprodict.onnxrt.ops module mlprodict.onnxrt.ops_cpu module mlprodict.onnxrt.ops_cpu._new_ops module mlprodict.onnxrt.ops_cpu._op module mlprodict.onnxrt.ops_cpu._op_classifier_string module mlprodict.onnxrt.ops_cpu._op_helper module mlprodict.onnxrt.ops_cpu._op_list module mlprodict.onnxrt.ops_cpu._op_numpy_helper module mlprodict.onnxrt.ops_cpu._op_onnx_numpy module mlprodict.onnxrt.ops_cpu.op_abs module mlprodict.onnxrt.ops_cpu.op_acos module mlprodict.onnxrt.ops_cpu.op_acosh module mlprodict.onnxrt.ops_cpu.op_add module mlprodict.onnxrt.ops_cpu.op_and module mlprodict.onnxrt.ops_cpu.op_argmax module mlprodict.onnxrt.ops_cpu.op_argmin module mlprodict.onnxrt.ops_cpu.op_array_feature_extractor module mlprodict.onnxrt.ops_cpu.op_asin module mlprodict.onnxrt.ops_cpu.op_asinh module mlprodict.onnxrt.ops_cpu.op_atan module mlprodict.onnxrt.ops_cpu.op_atanh module mlprodict.onnxrt.ops_cpu.op_average_pool module mlprodict.onnxrt.ops_cpu.op_batch_normalization module mlprodict.onnxrt.ops_cpu.op_binarizer module mlprodict.onnxrt.ops_cpu.op_bitshift module mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args module mlprodict.onnxrt.ops_cpu.op_cast module mlprodict.onnxrt.ops_cpu.op_category_mapper module mlprodict.onnxrt.ops_cpu.op_cdist module mlprodict.onnxrt.ops_cpu.op_ceil module mlprodict.onnxrt.ops_cpu.op_celu module mlprodict.onnxrt.ops_cpu.op_clip module mlprodict.onnxrt.ops_cpu.op_complex_abs module mlprodict.onnxrt.ops_cpu.op_compress module mlprodict.onnxrt.ops_cpu.op_concat module mlprodict.onnxrt.ops_cpu.op_concat_from_sequence module mlprodict.onnxrt.ops_cpu.op_constant module mlprodict.onnxrt.ops_cpu.op_constant_of_shape module mlprodict.onnxrt.ops_cpu.op_conv module mlprodict.onnxrt.ops_cpu.op_conv_ module mlprodict.onnxrt.ops_cpu.op_conv_transpose module mlprodict.onnxrt.ops_cpu.op_conv_transpose_ module mlprodict.onnxrt.ops_cpu.op_cos module mlprodict.onnxrt.ops_cpu.op_cosh module mlprodict.onnxrt.ops_cpu.op_cum_sum module mlprodict.onnxrt.ops_cpu.op_debug module mlprodict.onnxrt.ops_cpu.op_dequantize_linear module mlprodict.onnxrt.ops_cpu.op_det module mlprodict.onnxrt.ops_cpu.op_dict_vectorizer module mlprodict.onnxrt.ops_cpu.op_div module mlprodict.onnxrt.ops_cpu.op_dropout module mlprodict.onnxrt.ops_cpu.op_einsum module mlprodict.onnxrt.ops_cpu.op_elu module mlprodict.onnxrt.ops_cpu.op_equal module mlprodict.onnxrt.ops_cpu.op_erf module mlprodict.onnxrt.ops_cpu.op_exp module mlprodict.onnxrt.ops_cpu.op_expand module mlprodict.onnxrt.ops_cpu.op_eyelike module mlprodict.onnxrt.ops_cpu.op_feature_vectorizer module mlprodict.onnxrt.ops_cpu.op_fft module mlprodict.onnxrt.ops_cpu.op_fft2d module mlprodict.onnxrt.ops_cpu.op_flatten module mlprodict.onnxrt.ops_cpu.op_floor module mlprodict.onnxrt.ops_cpu.op_fused_matmul module mlprodict.onnxrt.ops_cpu.op_gather module mlprodict.onnxrt.ops_cpu.op_gather_ module mlprodict.onnxrt.ops_cpu.op_gather_elements module mlprodict.onnxrt.ops_cpu.op_gemm module mlprodict.onnxrt.ops_cpu.op_global_average_pool module mlprodict.onnxrt.ops_cpu.op_greater module mlprodict.onnxrt.ops_cpu.op_hard_sigmoid module mlprodict.onnxrt.ops_cpu.op_hardmax module mlprodict.onnxrt.ops_cpu.op_identity module mlprodict.onnxrt.ops_cpu.op_if module mlprodict.onnxrt.ops_cpu.op_imputer module mlprodict.onnxrt.ops_cpu.op_isinf module mlprodict.onnxrt.ops_cpu.op_isnan module mlprodict.onnxrt.ops_cpu.op_label_encoder module mlprodict.onnxrt.ops_cpu.op_leaky_relu module mlprodict.onnxrt.ops_cpu.op_less module mlprodict.onnxrt.ops_cpu.op_linear_classifier module mlprodict.onnxrt.ops_cpu.op_linear_regressor module mlprodict.onnxrt.ops_cpu.op_log module mlprodict.onnxrt.ops_cpu.op_log_softmax module mlprodict.onnxrt.ops_cpu.op_loop module mlprodict.onnxrt.ops_cpu.op_lp_normalization module mlprodict.onnxrt.ops_cpu.op_matmul module mlprodict.onnxrt.ops_cpu.op_max module mlprodict.onnxrt.ops_cpu.op_max_pool module mlprodict.onnxrt.ops_cpu.op_max_pool_ module mlprodict.onnxrt.ops_cpu.op_mean module mlprodict.onnxrt.ops_cpu.op_min module mlprodict.onnxrt.ops_cpu.op_mod module mlprodict.onnxrt.ops_cpu.op_mul module mlprodict.onnxrt.ops_cpu.op_neg module mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss module mlprodict.onnxrt.ops_cpu.op_normalizer module mlprodict.onnxrt.ops_cpu.op_not module mlprodict.onnxrt.ops_cpu.op_one_hot_encoder module mlprodict.onnxrt.ops_cpu.op_or module mlprodict.onnxrt.ops_cpu.op_pad module mlprodict.onnxrt.ops_cpu.op_pow module mlprodict.onnxrt.ops_cpu.op_prelu module mlprodict.onnxrt.ops_cpu.op_qlinear_conv module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_ module mlprodict.onnxrt.ops_cpu.op_quantize_linear module mlprodict.onnxrt.ops_cpu.op_random module mlprodict.onnxrt.ops_cpu.op_range module mlprodict.onnxrt.ops_cpu.op_reciprocal module mlprodict.onnxrt.ops_cpu.op_reduce_l1 module mlprodict.onnxrt.ops_cpu.op_reduce_l2 module mlprodict.onnxrt.ops_cpu.op_reduce_log_sum module mlprodict.onnxrt.ops_cpu.op_reduce_log_sum_exp module mlprodict.onnxrt.ops_cpu.op_reduce_max module mlprodict.onnxrt.ops_cpu.op_reduce_mean module mlprodict.onnxrt.ops_cpu.op_reduce_min module mlprodict.onnxrt.ops_cpu.op_reduce_prod module mlprodict.onnxrt.ops_cpu.op_reduce_sum module mlprodict.onnxrt.ops_cpu.op_reduce_sum_square module mlprodict.onnxrt.ops_cpu.op_relu module mlprodict.onnxrt.ops_cpu.op_reshape module mlprodict.onnxrt.ops_cpu.op_rfft module mlprodict.onnxrt.ops_cpu.op_rnn module mlprodict.onnxrt.ops_cpu.op_round module mlprodict.onnxrt.ops_cpu.op_scaler module mlprodict.onnxrt.ops_cpu.op_scan module mlprodict.onnxrt.ops_cpu.op_scatter_elements module mlprodict.onnxrt.ops_cpu.op_selu module mlprodict.onnxrt.ops_cpu.op_sequence_at module mlprodict.onnxrt.ops_cpu.op_sequence_construct module mlprodict.onnxrt.ops_cpu.op_sequence_insert module mlprodict.onnxrt.ops_cpu.op_shape module mlprodict.onnxrt.ops_cpu.op_sigmoid module mlprodict.onnxrt.ops_cpu.op_sign module mlprodict.onnxrt.ops_cpu.op_sin module mlprodict.onnxrt.ops_cpu.op_sinh module

mlprodict.onnxrt.ops_cpu.op_size module mlprodict.onnxrt.ops_cpu.op_slice module mlprodict.onnxrt.ops_cpu.op_softmax module mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss module mlprodict.onnxrt.ops_cpu.op_solve module mlprodict.onnxrt.ops_cpu.op_split module mlprodict.onnxrt.ops_cpu.op_sqrt module mlprodict.onnxrt.ops_cpu.op_squeeze module mlprodict.onnxrt.ops_cpu.op_string_normalizer module mlprodict.onnxrt.ops_cpu.op_sub module mlprodict.onnxrt.ops_cpu.op_sum module mlprodict.onnxrt.ops_cpu.op_svm_classifier module mlprodict.onnxrt.ops_cpu.op_svm_classifier_ module mlprodict.onnxrt.ops_cpu.op_svm_regressor module mlprodict.onnxrt.ops_cpu.op_svm_regressor_ module mlprodict.onnxrt.ops_cpu.op_tan module mlprodict.onnxrt.ops_cpu.op_tanh module mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer module mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_ module mlprodict.onnxrt.ops_cpu.op_tokenizer module mlprodict.onnxrt.ops_cpu.op_topk module mlprodict.onnxrt.ops_cpu.op_transpose module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_ module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_ module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_ module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_ module mlprodict.onnxrt.ops_cpu.op_trilu module mlprodict.onnxrt.ops_cpu.op_unsqueeze module mlprodict.onnxrt.ops_cpu.op_where module mlprodict.onnxrt.ops_cpu.op_xor module mlprodict.onnxrt.ops_cpu.op_yield_op module mlprodict.onnxrt.ops_cpu.op_zipmap module mlprodict.onnxrt.ops_empty module mlprodict.onnxrt.ops_empty._op module mlprodict.onnxrt.ops_onnxruntime module mlprodict.onnxrt.ops_onnxruntime._op module mlprodict.onnxrt.ops_shape module mlprodict.onnxrt.ops_shape._element_unary module mlprodict.onnxrt.ops_shape._element_wise module mlprodict.onnxrt.ops_shape._op_shape_op module mlprodict.onnxrt.ops_shape.shape_container module mlprodict.onnxrt.ops_shape.shape_excs module mlprodict.onnxrt.ops_shape.shape_result module mlprodict.onnxrt.ops_whole module mlprodict.onnxrt.ops_whole.session module mlprodict.onnxrt.shape_object module mlprodict.onnxrt.type_object module mlprodict.onnxrt.validate module mlprodict.onnxrt.validate._validate_problems_helper module mlprodict.onnxrt.validate.data module mlprodict.onnxrt.validate.side_by_side module mlprodict.onnxrt.validate.validate module mlprodict.onnxrt.validate.validate_benchmark module mlprodict.onnxrt.validate.validate_benchmark_replay module mlprodict.onnxrt.validate.validate_difference module mlprodict.onnxrt.validate.validate_helper module mlprodict.onnxrt.validate.validate_latency module mlprodict.onnxrt.validate.validate_problems module mlprodict.onnxrt.validate.validate_python module mlprodict.onnxrt.validate.validate_scenarios module mlprodict.onnxrt.validate.validate_summary module mlprodict.plotting module mlprodict.plotting.plotting module mlprodict.plotting.plotting_benchmark module mlprodict.plotting.plotting_onnx module mlprodict.plotting.plotting_validate_graph module mlprodict.plotting.text_plot module mlprodict.sklapi module mlprodict.sklapi.onnx_pipeline module mlprodict.sklapi.onnx_speed_up module mlprodict.sklapi.onnx_tokenizer module mlprodict.sklapi.onnx_transformer module mlprodict.testing module mlprodict.testing.einsum module mlprodict.testing.einsum.blas_lapack module mlprodict.testing.einsum.direct_blas_lapack module mlprodict.testing.einsum.einsum_bench module mlprodict.testing.einsum.einsum_fct module mlprodict.testing.einsum.einsum_impl module mlprodict.testing.einsum.einsum_impl_classes module mlprodict.testing.einsum.einsum_impl_ext module mlprodict.testing.einsum.einsum_ml module mlprodict.testing.experimental module mlprodict.testing.experimental_c_impl module mlprodict.testing.experimental_c_impl.experimental_c module mlprodict.testing.model_verification module mlprodict.testing.onnx_backend module mlprodict.testing.script_testing module mlprodict.testing.test_utils module mlprodict.testing.test_utils.quantized_tensor module mlprodict.testing.test_utils.tests_helper module mlprodict.testing.test_utils.utils_backend module mlprodict.testing.test_utils.utils_backend_common module mlprodict.testing.test_utils.utils_backend_common_compare module mlprodict.testing.test_utils.utils_backend_onnxruntime module mlprodict.testing.test_utils.utils_backend_python module mlprodict.testing.verify_code module mlprodict.tools module mlprodict.tools.asv_options_helper module mlprodict.tools.cleaning module mlprodict.tools.code_helper module mlprodict.tools.filename_helper module mlprodict.tools.graphs module mlprodict.tools.model_info module mlprodict.tools.onnx_inference_ort_helper module mlprodict.tools.ort_wrapper module mlprodict.tools.zoo module MLTensor (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MLType (class in mlprodict.grammar.grammar_sklearn.grammar.gtypes) MockVariableName (class in mlprodict.testing.test_utils.utils_backend_python) MockVariableNameShape (class in mlprodict.testing.test_utils.utils_backend_python) MockVariableNameShapeType (class in mlprodict.testing.test_utils.utils_backend_python) MockWrappedLightGbmBoosterClassifier (class in mlprodict.onnx_conv.operator_converters.parse_lightgbm) Mod (class in mlprodict.onnxrt.ops_cpu.op_mod) modified_args (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode property) modify_tree_for_rule_in_set() (in module mlprodict.onnx_conv.helpers.lgbm_helper) module mlprodict mlprodict.__main__ mlprodict.asv_benchmark mlprodict.asv_benchmark._create_asv_helper mlprodict.asv_benchmark.asv_exports mlprodict.asv_benchmark.common_asv_skl mlprodict.asv_benchmark.create_asv mlprodict.asv_benchmark.template.skl_model_classifier mlprodict.asv_benchmark.template.skl_model_classifier_raw_scores mlprodict.asv_benchmark.template.skl_model_clustering mlprodict.asv_benchmark.template.skl_model_multi_classifier mlprodict.asv_benchmark.template.skl_model_outlier mlprodict.asv_benchmark.template.skl_model_regressor mlprodict.asv_benchmark.template.skl_model_trainable_transform mlprodict.asv_benchmark.template.skl_model_transform mlprodict.asv_benchmark.template.skl_model_transform_positive mlprodict.cli mlprodict.cli.asv2csv mlprodict.cli.asv_bench mlprodict.cli.convert_validate mlprodict.cli.einsum mlprodict.cli.onnx_code mlprodict.cli.optimize mlprodict.cli.replay mlprodict.cli.validate mlprodict.grammar.cc mlprodict.grammar.cc.c_compilation mlprodict.grammar.grammar_sklearn mlprodict.grammar.grammar_sklearn.g_sklearn_identify mlprodict.grammar.grammar_sklearn.g_sklearn_linear_model mlprodict.grammar.grammar_sklearn.g_sklearn_main mlprodict.grammar.grammar_sklearn.g_sklearn_preprocessing mlprodict.grammar.grammar_sklearn.g_sklearn_tree mlprodict.grammar.grammar_sklearn.g_sklearn_type_helpers mlprodict.grammar.grammar_sklearn.grammar mlprodict.grammar.grammar_sklearn.grammar.api_extension mlprodict.grammar.grammar_sklearn.grammar.exc mlprodict.grammar.grammar_sklearn.grammar.gactions mlprodict.grammar.grammar_sklearn.grammar.gactions_num mlprodict.grammar.grammar_sklearn.grammar.gactions_tensor mlprodict.grammar.grammar_sklearn.grammar.gmlactions mlprodict.grammar.grammar_sklearn.grammar.gtypes mlprodict.nb_helper mlprodict.npy mlprodict.npy._cache mlprodict.npy.numpy_onnx_impl mlprodict.npy.numpy_onnx_impl_body mlprodict.npy.numpy_onnx_impl_skl mlprodict.npy.numpy_onnx_pyrt mlprodict.npy.numpy_onnx_pyrt_skl mlprodict.npy.onnx_numpy_annotation mlprodict.npy.onnx_numpy_compiler mlprodict.npy.onnx_numpy_wrapper mlprodict.npy.onnx_sklearn_wrapper mlprodict.npy.onnx_variable mlprodict.npy.onnx_version mlprodict.npy.xop mlprodict.npy.xop_auto mlprodict.npy.xop_auto_import_ mlprodict.npy.xop_convert mlprodict.npy.xop_opset mlprodict.npy.xop_sphinx mlprodict.npy.xop_variable mlprodict.onnx_conv mlprodict.onnx_conv.convert mlprodict.onnx_conv.helpers.lgbm_helper mlprodict.onnx_conv.onnx_ops mlprodict.onnx_conv.onnx_ops.onnx_complex mlprodict.onnx_conv.onnx_ops.onnx_fft mlprodict.onnx_conv.onnx_ops.onnx_gradient_op mlprodict.onnx_conv.onnx_ops.onnx_tokenizer mlprodict.onnx_conv.operator_converters mlprodict.onnx_conv.operator_converters.conv_lightgbm mlprodict.onnx_conv.operator_converters.conv_transfer_transformer mlprodict.onnx_conv.operator_converters.conv_xgboost mlprodict.onnx_conv.operator_converters.parse_lightgbm mlprodict.onnx_conv.register mlprodict.onnx_conv.register_rewritten_converters mlprodict.onnx_conv.scorers mlprodict.onnx_conv.scorers.cdist_score mlprodict.onnx_conv.scorers.register mlprodict.onnx_conv.sklconv mlprodict.onnx_conv.sklconv.function_transformer_converters mlprodict.onnx_conv.sklconv.svm_converters mlprodict.onnx_conv.sklconv.tree_converters mlprodict.onnx_conv.validate_scenarios mlprodict.onnx_tools mlprodict.onnx_tools.exports.numpy_helper mlprodict.onnx_tools.exports.skl2onnx_helper mlprodict.onnx_tools.exports.tf2onnx_helper mlprodict.onnx_tools.model_checker mlprodict.onnx_tools.onnx2py_helper mlprodict.onnx_tools.onnx_export mlprodict.onnx_tools.onnx_export_templates mlprodict.onnx_tools.onnx_grammar mlprodict.onnx_tools.onnx_grammar.node_visitor_translator mlprodict.onnx_tools.onnx_grammar.onnx_translation mlprodict.onnx_tools.onnx_grammar.onnx_translator mlprodict.onnx_tools.onnx_manipulations mlprodict.onnx_tools.onnx_tools mlprodict.onnx_tools.optim mlprodict.onnx_tools.optim._main_onnx_optim mlprodict.onnx_tools.optim._onnx_optimisation_common mlprodict.onnx_tools.optim.graph_schema_helper mlprodict.onnx_tools.optim.onnx_helper mlprodict.onnx_tools.optim.onnx_optimisation mlprodict.onnx_tools.optim.onnx_optimisation_identity mlprodict.onnx_tools.optim.onnx_optimisation_redundant mlprodict.onnx_tools.optim.onnx_optimisation_unused mlprodict.onnx_tools.optim.sklearn_helper mlprodict.onnxrt mlprodict.onnxrt.backend mlprodict.onnxrt.backend_micropy mlprodict.onnxrt.backend_ort mlprodict.onnxrt.backend_py mlprodict.onnxrt.backend_pyc mlprodict.onnxrt.backend_pyeval mlprodict.onnxrt.backend_shape mlprodict.onnxrt.doc mlprodict.onnxrt.doc.doc_helper mlprodict.onnxrt.doc.doc_write_helper mlprodict.onnxrt.excs mlprodict.onnxrt.onnx_inference mlprodict.onnxrt.onnx_inference_exports mlprodict.onnxrt.onnx_inference_node mlprodict.onnxrt.onnx_micro_runtime mlprodict.onnxrt.onnx_shape_inference mlprodict.onnxrt.ops mlprodict.onnxrt.ops_cpu mlprodict.onnxrt.ops_cpu._new_ops mlprodict.onnxrt.ops_cpu._op mlprodict.onnxrt.ops_cpu._op_classifier_string mlprodict.onnxrt.ops_cpu._op_helper mlprodict.onnxrt.ops_cpu._op_list mlprodict.onnxrt.ops_cpu._op_numpy_helper mlprodict.onnxrt.ops_cpu._op_onnx_numpy mlprodict.onnxrt.ops_cpu.op_abs mlprodict.onnxrt.ops_cpu.op_acos mlprodict.onnxrt.ops_cpu.op_acosh mlprodict.onnxrt.ops_cpu.op_add mlprodict.onnxrt.ops_cpu.op_and mlprodict.onnxrt.ops_cpu.op_argmax mlprodict.onnxrt.ops_cpu.op_argmin mlprodict.onnxrt.ops_cpu.op_array_feature_extractor mlprodict.onnxrt.ops_cpu.op_asin mlprodict.onnxrt.ops_cpu.op_asinh mlprodict.onnxrt.ops_cpu.op_atan mlprodict.onnxrt.ops_cpu.op_atanh mlprodict.onnxrt.ops_cpu.op_average_pool mlprodict.onnxrt.ops_cpu.op_batch_normalization mlprodict.onnxrt.ops_cpu.op_binarizer mlprodict.onnxrt.ops_cpu.op_bitshift mlprodict.onnxrt.ops_cpu.op_broadcast_gradient_args mlprodict.onnxrt.ops_cpu.op_cast mlprodict.onnxrt.ops_cpu.op_category_mapper mlprodict.onnxrt.ops_cpu.op_cdist mlprodict.onnxrt.ops_cpu.op_ceil mlprodict.onnxrt.ops_cpu.op_celu mlprodict.onnxrt.ops_cpu.op_clip mlprodict.onnxrt.ops_cpu.op_complex_abs mlprodict.onnxrt.ops_cpu.op_compress mlprodict.onnxrt.ops_cpu.op_concat mlprodict.onnxrt.ops_cpu.op_concat_from_sequence mlprodict.onnxrt.ops_cpu.op_constant mlprodict.onnxrt.ops_cpu.op_constant_of_shape mlprodict.onnxrt.ops_cpu.op_conv mlprodict.onnxrt.ops_cpu.op_conv_ mlprodict.onnxrt.ops_cpu.op_conv_transpose mlprodict.onnxrt.ops_cpu.op_conv_transpose_ mlprodict.onnxrt.ops_cpu.op_cos mlprodict.onnxrt.ops_cpu.op_cosh mlprodict.onnxrt.ops_cpu.op_cum_sum mlprodict.onnxrt.ops_cpu.op_debug mlprodict.onnxrt.ops_cpu.op_dequantize_linear mlprodict.onnxrt.ops_cpu.op_det mlprodict.onnxrt.ops_cpu.op_dict_vectorizer mlprodict.onnxrt.ops_cpu.op_div mlprodict.onnxrt.ops_cpu.op_dropout mlprodict.onnxrt.ops_cpu.op_einsum mlprodict.onnxrt.ops_cpu.op_elu mlprodict.onnxrt.ops_cpu.op_equal mlprodict.onnxrt.ops_cpu.op_erf mlprodict.onnxrt.ops_cpu.op_exp mlprodict.onnxrt.ops_cpu.op_expand mlprodict.onnxrt.ops_cpu.op_eyelike mlprodict.onnxrt.ops_cpu.op_feature_vectorizer mlprodict.onnxrt.ops_cpu.op_fft mlprodict.onnxrt.ops_cpu.op_fft2d mlprodict.onnxrt.ops_cpu.op_flatten mlprodict.onnxrt.ops_cpu.op_floor mlprodict.onnxrt.ops_cpu.op_fused_matmul mlprodict.onnxrt.ops_cpu.op_gather mlprodict.onnxrt.ops_cpu.op_gather_ mlprodict.onnxrt.ops_cpu.op_gather_elements mlprodict.onnxrt.ops_cpu.op_gemm mlprodict.onnxrt.ops_cpu.op_global_average_pool mlprodict.onnxrt.ops_cpu.op_greater mlprodict.onnxrt.ops_cpu.op_hard_sigmoid mlprodict.onnxrt.ops_cpu.op_hardmax mlprodict.onnxrt.ops_cpu.op_identity mlprodict.onnxrt.ops_cpu.op_if mlprodict.onnxrt.ops_cpu.op_imputer mlprodict.onnxrt.ops_cpu.op_isinf mlprodict.onnxrt.ops_cpu.op_isnan mlprodict.onnxrt.ops_cpu.op_label_encoder mlprodict.onnxrt.ops_cpu.op_leaky_relu mlprodict.onnxrt.ops_cpu.op_less mlprodict.onnxrt.ops_cpu.op_linear_classifier mlprodict.onnxrt.ops_cpu.op_linear_regressor mlprodict.onnxrt.ops_cpu.op_log mlprodict.onnxrt.ops_cpu.op_log_softmax mlprodict.onnxrt.ops_cpu.op_loop mlprodict.onnxrt.ops_cpu.op_lp_normalization mlprodict.onnxrt.ops_cpu.op_matmul mlprodict.onnxrt.ops_cpu.op_max mlprodict.onnxrt.ops_cpu.op_max_pool mlprodict.onnxrt.ops_cpu.op_max_pool_ mlprodict.onnxrt.ops_cpu.op_mean mlprodict.onnxrt.ops_cpu.op_min mlprodict.onnxrt.ops_cpu.op_mod mlprodict.onnxrt.ops_cpu.op_mul mlprodict.onnxrt.ops_cpu.op_neg mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss mlprodict.onnxrt.ops_cpu.op_normalizer mlprodict.onnxrt.ops_cpu.op_not mlprodict.onnxrt.ops_cpu.op_one_hot_encoder mlprodict.onnxrt.ops_cpu.op_or mlprodict.onnxrt.ops_cpu.op_pad mlprodict.onnxrt.ops_cpu.op_pow mlprodict.onnxrt.ops_cpu.op_prelu mlprodict.onnxrt.ops_cpu.op_qlinear_conv mlprodict.onnxrt.ops_cpu.op_qlinear_conv_ mlprodict.onnxrt.ops_cpu.op_quantize_linear mlprodict.onnxrt.ops_cpu.op_random mlprodict.onnxrt.ops_cpu.op_range mlprodict.onnxrt.ops_cpu.op_reciprocal mlprodict.onnxrt.ops_cpu.op_reduce_l1 mlprodict.onnxrt.ops_cpu.op_reduce_l2 mlprodict.onnxrt.ops_cpu.op_reduce_log_sum mlprodict.onnxrt.ops_cpu.op_reduce_log_sum_exp mlprodict.onnxrt.ops_cpu.op_reduce_max mlprodict.onnxrt.ops_cpu.op_reduce_mean mlprodict.onnxrt.ops_cpu.op_reduce_min mlprodict.onnxrt.ops_cpu.op_reduce_prod mlprodict.onnxrt.ops_cpu.op_reduce_sum mlprodict.onnxrt.ops_cpu.op_reduce_sum_square mlprodict.onnxrt.ops_cpu.op_relu mlprodict.onnxrt.ops_cpu.op_reshape mlprodict.onnxrt.ops_cpu.op_rfft mlprodict.onnxrt.ops_cpu.op_rnn mlprodict.onnxrt.ops_cpu.op_round mlprodict.onnxrt.ops_cpu.op_scaler mlprodict.onnxrt.ops_cpu.op_scan mlprodict.onnxrt.ops_cpu.op_scatter_elements mlprodict.onnxrt.ops_cpu.op_selu mlprodict.onnxrt.ops_cpu.op_sequence_at mlprodict.onnxrt.ops_cpu.op_sequence_construct mlprodict.onnxrt.ops_cpu.op_sequence_insert mlprodict.onnxrt.ops_cpu.op_shape mlprodict.onnxrt.ops_cpu.op_sigmoid mlprodict.onnxrt.ops_cpu.op_sign mlprodict.onnxrt.ops_cpu.op_sin mlprodict.onnxrt.ops_cpu.op_sinh mlprodict.onnxrt.ops_cpu.op_size mlprodict.onnxrt.ops_cpu.op_slice mlprodict.onnxrt.ops_cpu.op_softmax mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss mlprodict.onnxrt.ops_cpu.op_solve mlprodict.onnxrt.ops_cpu.op_split mlprodict.onnxrt.ops_cpu.op_sqrt mlprodict.onnxrt.ops_cpu.op_squeeze mlprodict.onnxrt.ops_cpu.op_string_normalizer mlprodict.onnxrt.ops_cpu.op_sub mlprodict.onnxrt.ops_cpu.op_sum mlprodict.onnxrt.ops_cpu.op_svm_classifier mlprodict.onnxrt.ops_cpu.op_svm_classifier_ mlprodict.onnxrt.ops_cpu.op_svm_regressor mlprodict.onnxrt.ops_cpu.op_svm_regressor_ mlprodict.onnxrt.ops_cpu.op_tan mlprodict.onnxrt.ops_cpu.op_tanh mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_ mlprodict.onnxrt.ops_cpu.op_tokenizer mlprodict.onnxrt.ops_cpu.op_topk mlprodict.onnxrt.ops_cpu.op_transpose mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_ mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_ mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_ mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_ mlprodict.onnxrt.ops_cpu.op_trilu mlprodict.onnxrt.ops_cpu.op_unsqueeze mlprodict.onnxrt.ops_cpu.op_where mlprodict.onnxrt.ops_cpu.op_xor mlprodict.onnxrt.ops_cpu.op_yield_op mlprodict.onnxrt.ops_cpu.op_zipmap mlprodict.onnxrt.ops_empty mlprodict.onnxrt.ops_empty._op mlprodict.onnxrt.ops_onnxruntime mlprodict.onnxrt.ops_onnxruntime._op mlprodict.onnxrt.ops_shape mlprodict.onnxrt.ops_shape._element_unary mlprodict.onnxrt.ops_shape._element_wise mlprodict.onnxrt.ops_shape._op_shape_op mlprodict.onnxrt.ops_shape.shape_container mlprodict.onnxrt.ops_shape.shape_excs mlprodict.onnxrt.ops_shape.shape_result mlprodict.onnxrt.ops_whole mlprodict.onnxrt.ops_whole.session mlprodict.onnxrt.shape_object mlprodict.onnxrt.type_object mlprodict.onnxrt.validate mlprodict.onnxrt.validate._validate_problems_helper mlprodict.onnxrt.validate.data mlprodict.onnxrt.validate.side_by_side mlprodict.onnxrt.validate.validate mlprodict.onnxrt.validate.validate_benchmark mlprodict.onnxrt.validate.validate_benchmark_replay mlprodict.onnxrt.validate.validate_difference mlprodict.onnxrt.validate.validate_helper mlprodict.onnxrt.validate.validate_latency mlprodict.onnxrt.validate.validate_problems mlprodict.onnxrt.validate.validate_python mlprodict.onnxrt.validate.validate_scenarios mlprodict.onnxrt.validate.validate_summary mlprodict.plotting mlprodict.plotting.plotting mlprodict.plotting.plotting_benchmark mlprodict.plotting.plotting_onnx mlprodict.plotting.plotting_validate_graph mlprodict.plotting.text_plot mlprodict.sklapi mlprodict.sklapi.onnx_pipeline mlprodict.sklapi.onnx_speed_up mlprodict.sklapi.onnx_tokenizer mlprodict.sklapi.onnx_transformer mlprodict.testing mlprodict.testing.einsum mlprodict.testing.einsum.blas_lapack mlprodict.testing.einsum.direct_blas_lapack mlprodict.testing.einsum.einsum_bench mlprodict.testing.einsum.einsum_fct mlprodict.testing.einsum.einsum_impl mlprodict.testing.einsum.einsum_impl_classes mlprodict.testing.einsum.einsum_impl_ext mlprodict.testing.einsum.einsum_ml mlprodict.testing.experimental mlprodict.testing.experimental_c_impl mlprodict.testing.experimental_c_impl.experimental_c mlprodict.testing.model_verification mlprodict.testing.onnx_backend mlprodict.testing.script_testing mlprodict.testing.test_utils mlprodict.testing.test_utils.quantized_tensor mlprodict.testing.test_utils.tests_helper mlprodict.testing.test_utils.utils_backend mlprodict.testing.test_utils.utils_backend_common mlprodict.testing.test_utils.utils_backend_common_compare mlprodict.testing.test_utils.utils_backend_onnxruntime mlprodict.testing.test_utils.utils_backend_python mlprodict.testing.verify_code mlprodict.tools mlprodict.tools.asv_options_helper mlprodict.tools.cleaning mlprodict.tools.code_helper mlprodict.tools.filename_helper mlprodict.tools.graphs mlprodict.tools.model_info mlprodict.tools.onnx_inference_ort_helper mlprodict.tools.ort_wrapper mlprodict.tools.zoo modules modules_list() (in module mlprodict.onnxrt.validate.validate_helper) Mul (class in mlprodict.onnxrt.ops_cpu.op_mul) MultiOnnxVar (class in mlprodict.npy.onnx_variable)

N

n_classes_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) n_dims() (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) n_targets_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) name (mlprodict.npy.xop_variable.DetectedVariable property) (mlprodict.npy.xop_variable.Variable property) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode property) (mlprodict.testing.onnx_backend.OnnxBackendTest property) nb_classes (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb property) NDArray (class in mlprodict.npy.onnx_numpy_annotation) NDArray.ShapeType (class in mlprodict.npy.onnx_numpy_annotation) NDArraySameType (class in mlprodict.npy.onnx_numpy_annotation) NDArraySameTypeSameShape (class in mlprodict.npy.onnx_numpy_annotation) NDArrayType (class in mlprodict.npy.onnx_numpy_annotation) NDArrayTypeSameShape (class in mlprodict.npy.onnx_numpy_annotation) need_context() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu.op_loop.Loop method) (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) Neg (class in mlprodict.onnxrt.ops_cpu.op_neg) NegativeLogLikelihoodLoss (class in mlprodict.onnxrt.ops_cpu.op_negative_log_likelihood_loss) new_calculate_sklearn_function_transformer_output_shapes() (in module mlprodict.onnx_conv.sklconv.function_transformer_converters) new_convert_sklearn_decision_tree_classifier() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_decision_tree_regressor() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_function_transformer() (in module mlprodict.onnx_conv.sklconv.function_transformer_converters) new_convert_sklearn_gradient_boosting_classifier() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_gradient_boosting_regressor() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_random_forest_classifier() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_random_forest_regressor() (in module mlprodict.onnx_conv.sklconv.tree_converters) new_convert_sklearn_svm_classifier() (in module mlprodict.onnx_conv.sklconv.svm_converters) new_convert_sklearn_svm_regressor() (in module mlprodict.onnx_conv.sklconv.svm_converters) NewOperatorSchema (class in mlprodict.onnxrt.doc.doc_helper) NodeResultName (class in mlprodict.npy.xop_variable) nodes_falsenodeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) nodes_featureids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) nodes_hitrates_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property)

nodes_modes_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) nodes_nodeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) nodes_treeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) nodes_truenodeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) nodes_values_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) norm_l1() (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer static method) norm_l2() (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer static method) norm_max() (mlprodict.onnxrt.ops_cpu.op_normalizer.Normalizer static method) Normalizer (class in mlprodict.onnxrt.ops_cpu.op_normalizer) Not (class in mlprodict.onnxrt.ops_cpu.op_not) not_() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.npy.xop.OnnxOperator method) number2alpha() (mlprodict.npy.xop._GraphBuilder static method) numpy numpy_diagonal() (in module mlprodict.testing.einsum.einsum_impl_ext) numpy_dot_inplace() (in module mlprodict.onnxrt.ops_cpu._op_numpy_helper) numpy_extended_dot() (in module mlprodict.testing.einsum.einsum_impl_ext) numpy_extended_dot_matrix() (in module mlprodict.testing.einsum.einsum_impl_ext) numpy_extended_dot_ouput_shape() (in module mlprodict.testing.einsum.einsum_impl_ext) numpy_extended_dot_python() (in module mlprodict.testing.einsum.einsum_impl_ext) numpy_matmul_inplace() (in module mlprodict.onnxrt.ops_cpu._op_numpy_helper) numpy_max() (in module mlprodict.onnx_tools.onnx2py_helper) (in module mlprodict.tools.code_helper) numpy_min() (in module mlprodict.onnx_tools.onnx2py_helper) (in module mlprodict.tools.code_helper) numpy_min_max() (in module mlprodict.tools.code_helper) numpy_type_prototype() (in module mlprodict.npy.xop_variable) (in module mlprodict.onnx_tools.onnx2py_helper) NumpyCode (class in mlprodict.onnx_tools.exports.numpy_helper)

O

obj (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper property) omp_get_max_threads() (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) omp_N_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) omp_tree_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) OneHotEncoder (class in mlprodict.onnxrt.ops_cpu.op_one_hot_encoder) onnx, [1] onnx2bigraph() (in module mlprodict.tools.graphs) onnx_code() (in module mlprodict.cli.onnx_code) onnx_converter() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) onnx_documentation_folder() (in module mlprodict.npy.xop_auto) onnx_graph_distance() (in module mlprodict.tools.graphs) (mlprodict.tools.graphs.BiGraph static method) onnx_if() (in module mlprodict.npy.numpy_onnx_impl) onnx_model_opsets() (in module mlprodict.onnx_tools.onnx2py_helper) onnx_op (mlprodict.npy.onnx_variable.MultiOnnxVar property) onnx_op_kwargs (mlprodict.npy.onnx_variable.MultiOnnxVar property) onnx_optim() (in module mlprodict.cli.optimize) onnx_optimisations() (in module mlprodict.onnx_tools.optim._main_onnx_optim) onnx_pad() (in module mlprodict.onnxrt.ops_cpu.op_pad) onnx_parser() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) onnx_remove_node() (in module mlprodict.onnx_tools.optim.onnx_optimisation) onnx_remove_node_identity() (in module mlprodict.onnx_tools.optim.onnx_optimisation_identity) onnx_remove_node_redundant() (in module mlprodict.onnx_tools.optim.onnx_optimisation_redundant) onnx_remove_node_unused() (in module mlprodict.onnx_tools.optim.onnx_optimisation_unused) onnx_rename_names() (in module mlprodict.onnx_tools.onnx_manipulations) onnx_shaker() (in module mlprodict.onnx_tools.model_checker) onnx_shape_calculator() (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) onnx_simple_text_plot() (in module mlprodict.plotting.text_plot) onnx_statistics() (in module mlprodict.onnx_tools.optim.onnx_helper) onnx_stats() (in module mlprodict.cli.optimize) onnx_text_plot() (in module mlprodict.plotting.text_plot) onnx_text_plot_io() (in module mlprodict.plotting.text_plot) onnx_text_plot_tree() (in module mlprodict.plotting.text_plot) OnnxAbs (class in mlprodict.npy.xop_auto_import_) OnnxAbs_1 (class in mlprodict.npy.xop_auto_import_) OnnxAbs_13 (class in mlprodict.npy.xop_auto_import_) OnnxAbs_6 (class in mlprodict.npy.xop_auto_import_) OnnxAcos (class in mlprodict.npy.xop_auto_import_) OnnxAcos_7 (class in mlprodict.npy.xop_auto_import_) OnnxAcosh (class in mlprodict.npy.xop_auto_import_) OnnxAcosh_9 (class in mlprodict.npy.xop_auto_import_) OnnxAdd (class in mlprodict.npy.xop_auto_import_) OnnxAdd_1 (class in mlprodict.npy.xop_auto_import_) OnnxAdd_13 (class in mlprodict.npy.xop_auto_import_) OnnxAdd_14 (class in mlprodict.npy.xop_auto_import_) OnnxAdd_6 (class in mlprodict.npy.xop_auto_import_) OnnxAdd_7 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlArrayFeatureExtractor (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlArrayFeatureExtractor_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlBinarizer (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlBinarizer_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlCastMap (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlCastMap_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlCategoryMapper (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlCategoryMapper_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlDictVectorizer (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlDictVectorizer_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlFeatureVectorizer (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlFeatureVectorizer_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlImputer (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlImputer_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLabelEncoder (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLabelEncoder_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLabelEncoder_2 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLinearClassifier (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLinearClassifier_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLinearRegressor (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlLinearRegressor_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlNormalizer (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlNormalizer_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlOneHotEncoder (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlOneHotEncoder_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlScaler (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlScaler_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlSVMClassifier (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlSVMClassifier_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlSVMRegressor (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlSVMRegressor_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleClassifier (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleClassifier_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleClassifier_3 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleRegressor (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleRegressor_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlTreeEnsembleRegressor_3 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlZipMap (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxMlZipMap_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingAdagrad (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingAdagrad_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingAdam (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingAdam_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingGradient (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingGradient_1 (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingMomentum (class in mlprodict.npy.xop_auto_import_) OnnxAiOnnxPreviewTrainingMomentum_1 (class in mlprodict.npy.xop_auto_import_) OnnxAnd (class in mlprodict.npy.xop_auto_import_) OnnxAnd_1 (class in mlprodict.npy.xop_auto_import_) OnnxAnd_7 (class in mlprodict.npy.xop_auto_import_) OnnxArgMax (class in mlprodict.npy.xop_auto_import_) OnnxArgMax_1 (class in mlprodict.npy.xop_auto_import_) OnnxArgMax_11 (class in mlprodict.npy.xop_auto_import_) OnnxArgMax_12 (class in mlprodict.npy.xop_auto_import_) OnnxArgMax_13 (class in mlprodict.npy.xop_auto_import_) OnnxArgMin (class in mlprodict.npy.xop_auto_import_) OnnxArgMin_1 (class in mlprodict.npy.xop_auto_import_) OnnxArgMin_11 (class in mlprodict.npy.xop_auto_import_) OnnxArgMin_12 (class in mlprodict.npy.xop_auto_import_) OnnxArgMin_13 (class in mlprodict.npy.xop_auto_import_) OnnxAsin (class in mlprodict.npy.xop_auto_import_) OnnxAsin_7 (class in mlprodict.npy.xop_auto_import_) OnnxAsinh (class in mlprodict.npy.xop_auto_import_) OnnxAsinh_9 (class in mlprodict.npy.xop_auto_import_) OnnxAtan (class in mlprodict.npy.xop_auto_import_) OnnxAtan_7 (class in mlprodict.npy.xop_auto_import_) OnnxAtanh (class in mlprodict.npy.xop_auto_import_) OnnxAtanh_9 (class in mlprodict.npy.xop_auto_import_) OnnxAveragePool (class in mlprodict.npy.xop_auto_import_) OnnxAveragePool_1 (class in mlprodict.npy.xop_auto_import_) OnnxAveragePool_10 (class in mlprodict.npy.xop_auto_import_) OnnxAveragePool_11 (class in mlprodict.npy.xop_auto_import_) OnnxAveragePool_7 (class in mlprodict.npy.xop_auto_import_) OnnxBackendAssertionError OnnxBackendMissingNewOnnxOperatorException OnnxBackendTest (class in mlprodict.testing.onnx_backend) OnnxBatchNormalization (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_1 (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_14 (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_15 (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_6 (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_7 (class in mlprodict.npy.xop_auto_import_) OnnxBatchNormalization_9 (class in mlprodict.npy.xop_auto_import_) OnnxBernoulli (class in mlprodict.npy.xop_auto_import_) OnnxBernoulli_15 (class in mlprodict.npy.xop_auto_import_) OnnxBitShift (class in mlprodict.npy.xop_auto_import_) OnnxBitShift_11 (class in mlprodict.npy.xop_auto_import_) OnnxBroadcastGradientArgs (in module mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxBroadcastGradientArgs_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxCast (class in mlprodict.npy.xop_auto_import_) OnnxCast_1 (class in mlprodict.npy.xop_auto_import_) OnnxCast_13 (class in mlprodict.npy.xop_auto_import_) OnnxCast_6 (class in mlprodict.npy.xop_auto_import_) OnnxCast_9 (class in mlprodict.npy.xop_auto_import_) OnnxCastLike (class in mlprodict.npy.xop_auto_import_) OnnxCastLike_15 (class in mlprodict.npy.xop_auto_import_) OnnxCeil (class in mlprodict.npy.xop_auto_import_) OnnxCeil_1 (class in mlprodict.npy.xop_auto_import_) OnnxCeil_13 (class in mlprodict.npy.xop_auto_import_) OnnxCeil_6 (class in mlprodict.npy.xop_auto_import_) OnnxCelu (class in mlprodict.npy.xop_auto_import_) OnnxCelu_12 (class in mlprodict.npy.xop_auto_import_) OnnxClip (class in mlprodict.npy.xop_auto_import_) OnnxClip_1 (class in mlprodict.npy.xop_auto_import_) OnnxClip_11 (class in mlprodict.npy.xop_auto_import_) OnnxClip_12 (class in mlprodict.npy.xop_auto_import_) OnnxClip_13 (class in mlprodict.npy.xop_auto_import_) OnnxClip_6 (class in mlprodict.npy.xop_auto_import_) OnnxComplexAbs (in module mlprodict.onnx_conv.onnx_ops.onnx_complex) OnnxComplexAbs_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_complex) OnnxCompress (class in mlprodict.npy.xop_auto_import_) OnnxCompress_11 (class in mlprodict.npy.xop_auto_import_) OnnxCompress_9 (class in mlprodict.npy.xop_auto_import_) OnnxConcat (class in mlprodict.npy.xop_auto_import_) OnnxConcat_1 (class in mlprodict.npy.xop_auto_import_) OnnxConcat_11 (class in mlprodict.npy.xop_auto_import_) OnnxConcat_13 (class in mlprodict.npy.xop_auto_import_) OnnxConcat_4 (class in mlprodict.npy.xop_auto_import_) OnnxConcatFromSequence (class in mlprodict.npy.xop_auto_import_) OnnxConcatFromSequence_11 (class in mlprodict.npy.xop_auto_import_) OnnxConstant (class in mlprodict.npy.xop_auto_import_) OnnxConstant_1 (class in mlprodict.npy.xop_auto_import_) OnnxConstant_11 (class in mlprodict.npy.xop_auto_import_) OnnxConstant_12 (class in mlprodict.npy.xop_auto_import_) OnnxConstant_13 (class in mlprodict.npy.xop_auto_import_) OnnxConstant_9 (class in mlprodict.npy.xop_auto_import_) OnnxConstantOfShape (class in mlprodict.npy.xop_auto_import_) OnnxConstantOfShape_9 (class in mlprodict.npy.xop_auto_import_) OnnxConv (class in mlprodict.npy.xop_auto_import_) OnnxConv_1 (class in mlprodict.npy.xop_auto_import_) OnnxConv_11 (class in mlprodict.npy.xop_auto_import_) OnnxConvInteger (class in mlprodict.npy.xop_auto_import_) OnnxConvInteger_10 (class in mlprodict.npy.xop_auto_import_) OnnxConvTranspose (class in mlprodict.npy.xop_auto_import_) OnnxConvTranspose_1 (class in mlprodict.npy.xop_auto_import_) OnnxConvTranspose_11 (class in mlprodict.npy.xop_auto_import_) OnnxCos (class in mlprodict.npy.xop_auto_import_) OnnxCos_7 (class in mlprodict.npy.xop_auto_import_) OnnxCosh (class in mlprodict.npy.xop_auto_import_) OnnxCosh_9 (class in mlprodict.npy.xop_auto_import_) OnnxCumSum (class in mlprodict.npy.xop_auto_import_) OnnxCumSum_11 (class in mlprodict.npy.xop_auto_import_) OnnxCumSum_14 (class in mlprodict.npy.xop_auto_import_) OnnxDepthToSpace (class in mlprodict.npy.xop_auto_import_) OnnxDepthToSpace_1 (class in mlprodict.npy.xop_auto_import_) OnnxDepthToSpace_11 (class in mlprodict.npy.xop_auto_import_) OnnxDepthToSpace_13 (class in mlprodict.npy.xop_auto_import_) OnnxDequantizeLinear (class in mlprodict.npy.xop_auto_import_) OnnxDequantizeLinear_10 (class in mlprodict.npy.xop_auto_import_) OnnxDequantizeLinear_13 (class in mlprodict.npy.xop_auto_import_) OnnxDet (class in mlprodict.npy.xop_auto_import_) OnnxDet_11 (class in mlprodict.npy.xop_auto_import_) OnnxDiv (class in mlprodict.npy.xop_auto_import_) OnnxDiv_1 (class in mlprodict.npy.xop_auto_import_) OnnxDiv_13 (class in mlprodict.npy.xop_auto_import_) OnnxDiv_14 (class in mlprodict.npy.xop_auto_import_) OnnxDiv_6 (class in mlprodict.npy.xop_auto_import_) OnnxDiv_7 (class in mlprodict.npy.xop_auto_import_) OnnxDropout (class in mlprodict.npy.xop_auto_import_) OnnxDropout_1 (class in mlprodict.npy.xop_auto_import_) OnnxDropout_10 (class in mlprodict.npy.xop_auto_import_) OnnxDropout_12 (class in mlprodict.npy.xop_auto_import_) OnnxDropout_13 (class in mlprodict.npy.xop_auto_import_) OnnxDropout_6 (class in mlprodict.npy.xop_auto_import_) OnnxDropout_7 (class in mlprodict.npy.xop_auto_import_) OnnxDynamicQuantizeLinear (class in mlprodict.npy.xop_auto_import_) OnnxDynamicQuantizeLinear_11 (class in mlprodict.npy.xop_auto_import_) OnnxEinsum (class in mlprodict.npy.xop_auto_import_) OnnxEinsum_12 (class in mlprodict.npy.xop_auto_import_) OnnxElu (class in mlprodict.npy.xop_auto_import_) OnnxElu_1 (class in mlprodict.npy.xop_auto_import_) OnnxElu_6 (class in mlprodict.npy.xop_auto_import_) OnnxEqual (class in mlprodict.npy.xop_auto_import_) OnnxEqual_1 (class in mlprodict.npy.xop_auto_import_) OnnxEqual_11 (class in mlprodict.npy.xop_auto_import_) OnnxEqual_13 (class in mlprodict.npy.xop_auto_import_) OnnxEqual_7 (class in mlprodict.npy.xop_auto_import_) OnnxErf (class in mlprodict.npy.xop_auto_import_) OnnxErf_13 (class in mlprodict.npy.xop_auto_import_) OnnxErf_9 (class in mlprodict.npy.xop_auto_import_) OnnxExp (class in mlprodict.npy.xop_auto_import_) OnnxExp_1 (class in mlprodict.npy.xop_auto_import_) OnnxExp_13 (class in mlprodict.npy.xop_auto_import_) OnnxExp_6 (class in mlprodict.npy.xop_auto_import_) OnnxExpand (class in mlprodict.npy.xop_auto_import_) OnnxExpand_13 (class in mlprodict.npy.xop_auto_import_) OnnxExpand_8 (class in mlprodict.npy.xop_auto_import_) OnnxEyeLike (class in mlprodict.npy.xop_auto_import_) OnnxEyeLike_9 (class in mlprodict.npy.xop_auto_import_) OnnxFFT (in module mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxFFT2D (in module mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxFFT2D_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxFFT_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxFlatten (class in mlprodict.npy.xop_auto_import_) OnnxFlatten_1 (class in mlprodict.npy.xop_auto_import_) OnnxFlatten_11 (class in mlprodict.npy.xop_auto_import_) OnnxFlatten_13 (class in mlprodict.npy.xop_auto_import_) OnnxFlatten_9 (class in mlprodict.npy.xop_auto_import_) OnnxFloor (class in mlprodict.npy.xop_auto_import_) OnnxFloor_1 (class in mlprodict.npy.xop_auto_import_) OnnxFloor_13 (class in mlprodict.npy.xop_auto_import_) OnnxFloor_6 (class in mlprodict.npy.xop_auto_import_) OnnxFusedMatMul (in module mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxFusedMatMul_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxGather (class in mlprodict.npy.xop_auto_import_) OnnxGather_1 (class in mlprodict.npy.xop_auto_import_) OnnxGather_11 (class in mlprodict.npy.xop_auto_import_) OnnxGather_13 (class in mlprodict.npy.xop_auto_import_) OnnxGatherElements (class in mlprodict.npy.xop_auto_import_) OnnxGatherElements_11 (class in mlprodict.npy.xop_auto_import_) OnnxGatherElements_13 (class in mlprodict.npy.xop_auto_import_) OnnxGatherND (class in mlprodict.npy.xop_auto_import_) OnnxGatherND_11 (class in mlprodict.npy.xop_auto_import_) OnnxGatherND_12 (class in mlprodict.npy.xop_auto_import_) OnnxGatherND_13 (class in mlprodict.npy.xop_auto_import_) OnnxGemm (class in mlprodict.npy.xop_auto_import_) OnnxGemm_1 (class in mlprodict.npy.xop_auto_import_) OnnxGemm_11 (class in mlprodict.npy.xop_auto_import_) OnnxGemm_13 (class in mlprodict.npy.xop_auto_import_) OnnxGemm_6 (class in mlprodict.npy.xop_auto_import_) OnnxGemm_7 (class in mlprodict.npy.xop_auto_import_) OnnxGemm_9 (class in mlprodict.npy.xop_auto_import_) OnnxGlobalAveragePool (class in mlprodict.npy.xop_auto_import_) OnnxGlobalAveragePool_1 (class in mlprodict.npy.xop_auto_import_) OnnxGlobalLpPool (class in mlprodict.npy.xop_auto_import_) OnnxGlobalLpPool_1 (class in mlprodict.npy.xop_auto_import_) OnnxGlobalLpPool_2 (class in mlprodict.npy.xop_auto_import_) OnnxGlobalMaxPool (class in mlprodict.npy.xop_auto_import_) OnnxGlobalMaxPool_1 (class in mlprodict.npy.xop_auto_import_) OnnxGreater (class in mlprodict.npy.xop_auto_import_) OnnxGreater_1 (class in mlprodict.npy.xop_auto_import_) OnnxGreater_13 (class in mlprodict.npy.xop_auto_import_) OnnxGreater_7 (class in mlprodict.npy.xop_auto_import_) OnnxGreater_9 (class in mlprodict.npy.xop_auto_import_) OnnxGreaterOrEqual (class in mlprodict.npy.xop_auto_import_) OnnxGreaterOrEqual_12 (class in mlprodict.npy.xop_auto_import_) OnnxGreaterOrEqual_16 (class in mlprodict.npy.xop_auto_import_) OnnxGridSample (class in mlprodict.npy.xop_auto_import_) OnnxGridSample_16 (class in mlprodict.npy.xop_auto_import_) OnnxGRU (class in mlprodict.npy.xop_auto_import_) OnnxGRU_1 (class in mlprodict.npy.xop_auto_import_) OnnxGRU_14 (class in mlprodict.npy.xop_auto_import_) OnnxGRU_3 (class in mlprodict.npy.xop_auto_import_) OnnxGRU_7 (class in mlprodict.npy.xop_auto_import_) OnnxHardmax (class in mlprodict.npy.xop_auto_import_) OnnxHardmax_1 (class in mlprodict.npy.xop_auto_import_) OnnxHardmax_11 (class in mlprodict.npy.xop_auto_import_) OnnxHardmax_13 (class in mlprodict.npy.xop_auto_import_) OnnxHardSigmoid (class in mlprodict.npy.xop_auto_import_) OnnxHardSigmoid_1 (class in mlprodict.npy.xop_auto_import_) OnnxHardSigmoid_6 (class in mlprodict.npy.xop_auto_import_) OnnxHardSwish (class in mlprodict.npy.xop_auto_import_) OnnxHardSwish_14 (class in mlprodict.npy.xop_auto_import_) OnnxIdentity (class in mlprodict.npy.xop_auto_import_) OnnxIdentity_1 (class in mlprodict.npy.xop_auto_import_) OnnxIdentity_13 (class in mlprodict.npy.xop_auto_import_) OnnxIdentity_14 (class in mlprodict.npy.xop_auto_import_) OnnxIdentity_16 (class in mlprodict.npy.xop_auto_import_) OnnxIf (class in mlprodict.npy.xop_auto_import_) OnnxIf_1 (class in mlprodict.npy.xop_auto_import_) OnnxIf_11 (class in mlprodict.npy.xop_auto_import_) OnnxIf_13 (class in mlprodict.npy.xop_auto_import_) OnnxIf_16 (class in mlprodict.npy.xop_auto_import_) OnnxInference (class in mlprodict.onnxrt.onnx_inference) OnnxInference2 (class in mlprodict.testing.test_utils.utils_backend_python) OnnxInferenceBackend (class in mlprodict.onnxrt.backend) OnnxInferenceBackendMicro (class in mlprodict.onnxrt.backend) OnnxInferenceBackendOrt (class in mlprodict.onnxrt.backend) OnnxInferenceBackendPyC (class in mlprodict.onnxrt.backend) OnnxInferenceBackendPyEval (class in mlprodict.onnxrt.backend) OnnxInferenceBackendRep (class in mlprodict.onnxrt.backend) OnnxInferenceBackendShape (class in mlprodict.onnxrt.backend) OnnxInferenceExport (class in mlprodict.onnxrt.onnx_inference_exports) OnnxInferenceNode (class in mlprodict.onnxrt.onnx_inference_node) OnnxInferenceNode.OnnxInferenceWrapper (class in mlprodict.onnxrt.onnx_inference_node) OnnxInstanceNormalization (class in mlprodict.npy.xop_auto_import_) OnnxInstanceNormalization_1 (class in mlprodict.npy.xop_auto_import_) OnnxInstanceNormalization_6 (class in mlprodict.npy.xop_auto_import_) OnnxIsInf (class in mlprodict.npy.xop_auto_import_) OnnxIsInf_10 (class in mlprodict.npy.xop_auto_import_) OnnxIsNaN (class in mlprodict.npy.xop_auto_import_) OnnxIsNaN_13 (class in mlprodict.npy.xop_auto_import_) OnnxIsNaN_9 (class in mlprodict.npy.xop_auto_import_) OnnxKind (class in mlprodict.onnxrt.ops_shape.shape_result) OnnxLeakyRelu (class in mlprodict.npy.xop_auto_import_) OnnxLeakyRelu_1 (class in mlprodict.npy.xop_auto_import_) OnnxLeakyRelu_16 (class in mlprodict.npy.xop_auto_import_) OnnxLeakyRelu_6 (class in mlprodict.npy.xop_auto_import_) OnnxLess (class in mlprodict.npy.xop_auto_import_) OnnxLess_1 (class in mlprodict.npy.xop_auto_import_) OnnxLess_13 (class in mlprodict.npy.xop_auto_import_) OnnxLess_7 (class in mlprodict.npy.xop_auto_import_) OnnxLess_9 (class in mlprodict.npy.xop_auto_import_) OnnxLessOrEqual (class in mlprodict.npy.xop_auto_import_) OnnxLessOrEqual_12 (class in mlprodict.npy.xop_auto_import_) OnnxLessOrEqual_16 (class in mlprodict.npy.xop_auto_import_) OnnxLoadFactory (class in mlprodict.npy.xop) OnnxLog (class in mlprodict.npy.xop_auto_import_) OnnxLog_1 (class in mlprodict.npy.xop_auto_import_) OnnxLog_13 (class in mlprodict.npy.xop_auto_import_) OnnxLog_6 (class in mlprodict.npy.xop_auto_import_) OnnxLogSoftmax (class in mlprodict.npy.xop_auto_import_) OnnxLogSoftmax_1 (class in mlprodict.npy.xop_auto_import_) OnnxLogSoftmax_11 (class in mlprodict.npy.xop_auto_import_) OnnxLogSoftmax_13 (class in mlprodict.npy.xop_auto_import_) OnnxLoop (class in mlprodict.npy.xop_auto_import_) OnnxLoop_1 (class in mlprodict.npy.xop_auto_import_) OnnxLoop_11 (class in mlprodict.npy.xop_auto_import_) OnnxLoop_13 (class in mlprodict.npy.xop_auto_import_) OnnxLoop_16 (class in mlprodict.npy.xop_auto_import_) OnnxLpNormalization (class in mlprodict.npy.xop_auto_import_) OnnxLpNormalization_1 (class in mlprodict.npy.xop_auto_import_) OnnxLpPool (class in mlprodict.npy.xop_auto_import_) OnnxLpPool_1 (class in mlprodict.npy.xop_auto_import_) OnnxLpPool_11 (class in mlprodict.npy.xop_auto_import_) OnnxLpPool_2 (class in mlprodict.npy.xop_auto_import_) OnnxLRN (class in mlprodict.npy.xop_auto_import_) OnnxLRN_1 (class in mlprodict.npy.xop_auto_import_) OnnxLRN_13 (class in mlprodict.npy.xop_auto_import_) OnnxLSTM (class in mlprodict.npy.xop_auto_import_) OnnxLSTM_1 (class in mlprodict.npy.xop_auto_import_) OnnxLSTM_14 (class in mlprodict.npy.xop_auto_import_) OnnxLSTM_7 (class in mlprodict.npy.xop_auto_import_) OnnxMatMul (class in mlprodict.npy.xop_auto_import_) OnnxMatMul_1 (class in mlprodict.npy.xop_auto_import_) OnnxMatMul_13 (class in mlprodict.npy.xop_auto_import_) OnnxMatMul_9 (class in mlprodict.npy.xop_auto_import_) OnnxMatMulInteger (class in mlprodict.npy.xop_auto_import_) OnnxMatMulInteger_10 (class in mlprodict.npy.xop_auto_import_) OnnxMax (class in mlprodict.npy.xop_auto_import_) OnnxMax_1 (class in mlprodict.npy.xop_auto_import_) OnnxMax_12 (class in mlprodict.npy.xop_auto_import_) OnnxMax_13 (class in mlprodict.npy.xop_auto_import_) OnnxMax_6 (class in mlprodict.npy.xop_auto_import_) OnnxMax_8 (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool_1 (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool_10 (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool_11 (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool_12 (class in mlprodict.npy.xop_auto_import_) OnnxMaxPool_8 (class in mlprodict.npy.xop_auto_import_) OnnxMaxRoiPool (class in mlprodict.npy.xop_auto_import_) OnnxMaxRoiPool_1 (class in mlprodict.npy.xop_auto_import_) OnnxMaxUnpool (class in mlprodict.npy.xop_auto_import_) OnnxMaxUnpool_11 (class in mlprodict.npy.xop_auto_import_) OnnxMaxUnpool_9 (class in mlprodict.npy.xop_auto_import_) OnnxMean (class in mlprodict.npy.xop_auto_import_) OnnxMean_1 (class in mlprodict.npy.xop_auto_import_) OnnxMean_13 (class in mlprodict.npy.xop_auto_import_) OnnxMean_6 (class in mlprodict.npy.xop_auto_import_) OnnxMean_8 (class in mlprodict.npy.xop_auto_import_) OnnxMeanVarianceNormalization (class in mlprodict.npy.xop_auto_import_) OnnxMeanVarianceNormalization_13 (class in mlprodict.npy.xop_auto_import_) OnnxMeanVarianceNormalization_9 (class in mlprodict.npy.xop_auto_import_) OnnxMicroRuntime (class in mlprodict.onnxrt.onnx_micro_runtime) OnnxMin (class in mlprodict.npy.xop_auto_import_) OnnxMin_1 (class in mlprodict.npy.xop_auto_import_) OnnxMin_12 (class in mlprodict.npy.xop_auto_import_) OnnxMin_13 (class in mlprodict.npy.xop_auto_import_) OnnxMin_6 (class in mlprodict.npy.xop_auto_import_)

OnnxMin_8 (class in mlprodict.npy.xop_auto_import_) OnnxMod (class in mlprodict.npy.xop_auto_import_) OnnxMod_10 (class in mlprodict.npy.xop_auto_import_) OnnxMod_13 (class in mlprodict.npy.xop_auto_import_) OnnxMul (class in mlprodict.npy.xop_auto_import_) OnnxMul_1 (class in mlprodict.npy.xop_auto_import_) OnnxMul_13 (class in mlprodict.npy.xop_auto_import_) OnnxMul_14 (class in mlprodict.npy.xop_auto_import_) OnnxMul_6 (class in mlprodict.npy.xop_auto_import_) OnnxMul_7 (class in mlprodict.npy.xop_auto_import_) OnnxMultinomial (class in mlprodict.npy.xop_auto_import_) OnnxMultinomial_7 (class in mlprodict.npy.xop_auto_import_) OnnxNeg (class in mlprodict.npy.xop_auto_import_) OnnxNeg_1 (class in mlprodict.npy.xop_auto_import_) OnnxNeg_13 (class in mlprodict.npy.xop_auto_import_) OnnxNeg_6 (class in mlprodict.npy.xop_auto_import_) OnnxNegativeLogLikelihoodLoss (class in mlprodict.npy.xop_auto_import_) OnnxNegativeLogLikelihoodLoss_12 (class in mlprodict.npy.xop_auto_import_) OnnxNegativeLogLikelihoodLoss_13 (class in mlprodict.npy.xop_auto_import_) OnnxNonMaxSuppression (class in mlprodict.npy.xop_auto_import_) OnnxNonMaxSuppression_10 (class in mlprodict.npy.xop_auto_import_) OnnxNonMaxSuppression_11 (class in mlprodict.npy.xop_auto_import_) OnnxNonZero (class in mlprodict.npy.xop_auto_import_) OnnxNonZero_13 (class in mlprodict.npy.xop_auto_import_) OnnxNonZero_9 (class in mlprodict.npy.xop_auto_import_) OnnxNot (class in mlprodict.npy.xop_auto_import_) OnnxNot_1 (class in mlprodict.npy.xop_auto_import_) OnnxNotebook (class in mlprodict.nb_helper) onnxnumpy() (in module mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_custom_fct_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_default() (in module mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_abs_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_acos_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_acosh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_amax_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_amin_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_arange_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_argmax_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_argmin_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_asin_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_asinh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_atan_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_atanh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_ceil_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_clip_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_compress_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_concat_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_cos_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_cosh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_cumsum_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_det_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_dot_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_einsum_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_erf_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_exp_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_expand_dims_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_expit_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_floor_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_hstack_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_isnan_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_log1p_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_log_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_logistic_regression_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_matmul_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_mean_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_onnx_cube_32_None_onnxruntime (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_onnx_rel_diff_32_None_onnxruntime (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_onnx_sq_diff_32_None_onnxruntime (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_onnx_square_32_None_onnxruntime (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_onnx_sum_32_None_onnxruntime (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_pad_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_prod_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_reciprocal_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_relu_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_round_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sigmoid_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sign_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sin_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sinh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sqrt_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_squeeze_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_sum_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_tan_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_tanh_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_topk_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_transpose_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_unsqueeze_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_vstack_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_nb_where_None_None (class in mlprodict.npy.onnx_numpy_wrapper) onnxnumpy_np() (in module mlprodict.npy.onnx_numpy_wrapper) OnnxNumpyCompiler (class in mlprodict.npy.onnx_numpy_compiler) OnnxNumpyFunction (class in mlprodict.npy.onnx_numpy_compiler) OnnxNumpyFunctionInferenceSession (class in mlprodict.npy.onnx_numpy_compiler) OnnxNumpyFunctionOnnxInference (class in mlprodict.npy.onnx_numpy_compiler) OnnxOneHot (class in mlprodict.npy.xop_auto_import_) OnnxOneHot_11 (class in mlprodict.npy.xop_auto_import_) OnnxOneHot_9 (class in mlprodict.npy.xop_auto_import_) OnnxOperator (class in mlprodict.npy.xop) OnnxOperatorBase (class in mlprodict.npy.xop) OnnxOperatorFunction (class in mlprodict.npy.xop) OnnxOperatorItem (class in mlprodict.npy.xop) OnnxOperatorTuple (class in mlprodict.npy.xop) OnnxOptional (class in mlprodict.npy.xop_auto_import_) OnnxOptional_15 (class in mlprodict.npy.xop_auto_import_) OnnxOptionalGetElement (class in mlprodict.npy.xop_auto_import_) OnnxOptionalGetElement_15 (class in mlprodict.npy.xop_auto_import_) OnnxOptionalHasElement (class in mlprodict.npy.xop_auto_import_) OnnxOptionalHasElement_15 (class in mlprodict.npy.xop_auto_import_) OnnxOr (class in mlprodict.npy.xop_auto_import_) OnnxOr_1 (class in mlprodict.npy.xop_auto_import_) OnnxOr_7 (class in mlprodict.npy.xop_auto_import_) OnnxPad (class in mlprodict.npy.xop_auto_import_) OnnxPad_1 (class in mlprodict.npy.xop_auto_import_) OnnxPad_11 (class in mlprodict.npy.xop_auto_import_) OnnxPad_13 (class in mlprodict.npy.xop_auto_import_) OnnxPad_2 (class in mlprodict.npy.xop_auto_import_) OnnxPipeline (class in mlprodict.sklapi.onnx_pipeline) OnnxPow (class in mlprodict.npy.xop_auto_import_) OnnxPow_1 (class in mlprodict.npy.xop_auto_import_) OnnxPow_12 (class in mlprodict.npy.xop_auto_import_) OnnxPow_13 (class in mlprodict.npy.xop_auto_import_) OnnxPow_15 (class in mlprodict.npy.xop_auto_import_) OnnxPow_7 (class in mlprodict.npy.xop_auto_import_) OnnxPRelu (class in mlprodict.npy.xop_auto_import_) OnnxPRelu_1 (class in mlprodict.npy.xop_auto_import_) OnnxPRelu_16 (class in mlprodict.npy.xop_auto_import_) OnnxPRelu_6 (class in mlprodict.npy.xop_auto_import_) OnnxPRelu_7 (class in mlprodict.npy.xop_auto_import_) OnnxPRelu_9 (class in mlprodict.npy.xop_auto_import_) OnnxQLinearConv (class in mlprodict.npy.xop_auto_import_) OnnxQLinearConv_10 (class in mlprodict.npy.xop_auto_import_) OnnxQLinearMatMul (class in mlprodict.npy.xop_auto_import_) OnnxQLinearMatMul_10 (class in mlprodict.npy.xop_auto_import_) OnnxQuantizeLinear (class in mlprodict.npy.xop_auto_import_) OnnxQuantizeLinear_10 (class in mlprodict.npy.xop_auto_import_) OnnxQuantizeLinear_13 (class in mlprodict.npy.xop_auto_import_) OnnxRandomNormal (class in mlprodict.npy.xop_auto_import_) OnnxRandomNormal_1 (class in mlprodict.npy.xop_auto_import_) OnnxRandomNormalLike (class in mlprodict.npy.xop_auto_import_) OnnxRandomNormalLike_1 (class in mlprodict.npy.xop_auto_import_) OnnxRandomUniform (class in mlprodict.npy.xop_auto_import_) OnnxRandomUniform_1 (class in mlprodict.npy.xop_auto_import_) OnnxRandomUniformLike (class in mlprodict.npy.xop_auto_import_) OnnxRandomUniformLike_1 (class in mlprodict.npy.xop_auto_import_) OnnxRange (class in mlprodict.npy.xop_auto_import_) OnnxRange_11 (class in mlprodict.npy.xop_auto_import_) OnnxReciprocal (class in mlprodict.npy.xop_auto_import_) OnnxReciprocal_1 (class in mlprodict.npy.xop_auto_import_) OnnxReciprocal_13 (class in mlprodict.npy.xop_auto_import_) OnnxReciprocal_6 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL1_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL1_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL1_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL2 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL2_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL2_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL2_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceL2_typed() (in module mlprodict.npy.xop_opset) OnnxReduceLogSum (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSum_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSum_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSum_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSumExp (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSumExp_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSumExp_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceLogSumExp_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMax (class in mlprodict.npy.xop_auto_import_) OnnxReduceMax_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMax_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMax_12 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMax_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMean (class in mlprodict.npy.xop_auto_import_) OnnxReduceMean_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMean_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMean_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMin (class in mlprodict.npy.xop_auto_import_) OnnxReduceMin_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMin_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMin_12 (class in mlprodict.npy.xop_auto_import_) OnnxReduceMin_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceProd (class in mlprodict.npy.xop_auto_import_) OnnxReduceProd_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceProd_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceProd_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSum (class in mlprodict.npy.xop_auto_import_) OnnxReduceSum_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSum_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSum_13 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSumApi11() (in module mlprodict.npy.xop_opset) OnnxReduceSumSquare (class in mlprodict.npy.xop_auto_import_) OnnxReduceSumSquare_1 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSumSquare_11 (class in mlprodict.npy.xop_auto_import_) OnnxReduceSumSquare_13 (class in mlprodict.npy.xop_auto_import_) OnnxRelu (class in mlprodict.npy.xop_auto_import_) OnnxRelu_1 (class in mlprodict.npy.xop_auto_import_) OnnxRelu_13 (class in mlprodict.npy.xop_auto_import_) OnnxRelu_14 (class in mlprodict.npy.xop_auto_import_) OnnxRelu_6 (class in mlprodict.npy.xop_auto_import_) OnnxReshape (class in mlprodict.npy.xop_auto_import_) OnnxReshape_1 (class in mlprodict.npy.xop_auto_import_) OnnxReshape_13 (class in mlprodict.npy.xop_auto_import_) OnnxReshape_14 (class in mlprodict.npy.xop_auto_import_) OnnxReshape_5 (class in mlprodict.npy.xop_auto_import_) OnnxReshapeApi13() (in module mlprodict.npy.xop_opset) OnnxResize (class in mlprodict.npy.xop_auto_import_) OnnxResize_10 (class in mlprodict.npy.xop_auto_import_) OnnxResize_11 (class in mlprodict.npy.xop_auto_import_) OnnxResize_13 (class in mlprodict.npy.xop_auto_import_) OnnxReverseSequence (class in mlprodict.npy.xop_auto_import_) OnnxReverseSequence_10 (class in mlprodict.npy.xop_auto_import_) OnnxRFFT (in module mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxRFFT_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_fft) OnnxRNN (class in mlprodict.npy.xop_auto_import_) OnnxRNN_1 (class in mlprodict.npy.xop_auto_import_) OnnxRNN_14 (class in mlprodict.npy.xop_auto_import_) OnnxRNN_7 (class in mlprodict.npy.xop_auto_import_) OnnxRoiAlign (class in mlprodict.npy.xop_auto_import_) OnnxRoiAlign_10 (class in mlprodict.npy.xop_auto_import_) OnnxRoiAlign_16 (class in mlprodict.npy.xop_auto_import_) OnnxRound (class in mlprodict.npy.xop_auto_import_) OnnxRound_11 (class in mlprodict.npy.xop_auto_import_) onnxruntime OnnxRuntimeMissingNewOnnxOperatorException OnnxScan (class in mlprodict.npy.xop_auto_import_) OnnxScan_11 (class in mlprodict.npy.xop_auto_import_) OnnxScan_16 (class in mlprodict.npy.xop_auto_import_) OnnxScan_8 (class in mlprodict.npy.xop_auto_import_) OnnxScan_9 (class in mlprodict.npy.xop_auto_import_) OnnxScatter (class in mlprodict.npy.xop_auto_import_) OnnxScatter_11 (class in mlprodict.npy.xop_auto_import_) OnnxScatter_9 (class in mlprodict.npy.xop_auto_import_) OnnxScatterElements (class in mlprodict.npy.xop_auto_import_) OnnxScatterElements_11 (class in mlprodict.npy.xop_auto_import_) OnnxScatterElements_13 (class in mlprodict.npy.xop_auto_import_) OnnxScatterElements_16 (class in mlprodict.npy.xop_auto_import_) OnnxScatterND (class in mlprodict.npy.xop_auto_import_) OnnxScatterND_11 (class in mlprodict.npy.xop_auto_import_) OnnxScatterND_13 (class in mlprodict.npy.xop_auto_import_) OnnxScatterND_16 (class in mlprodict.npy.xop_auto_import_) OnnxSelu (class in mlprodict.npy.xop_auto_import_) OnnxSelu_1 (class in mlprodict.npy.xop_auto_import_) OnnxSelu_6 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceAt (class in mlprodict.npy.xop_auto_import_) OnnxSequenceAt_11 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceConstruct (class in mlprodict.npy.xop_auto_import_) OnnxSequenceConstruct_11 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceEmpty (class in mlprodict.npy.xop_auto_import_) OnnxSequenceEmpty_11 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceErase (class in mlprodict.npy.xop_auto_import_) OnnxSequenceErase_11 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceInsert (class in mlprodict.npy.xop_auto_import_) OnnxSequenceInsert_11 (class in mlprodict.npy.xop_auto_import_) OnnxSequenceLength (class in mlprodict.npy.xop_auto_import_) OnnxSequenceLength_11 (class in mlprodict.npy.xop_auto_import_) OnnxShape (class in mlprodict.npy.xop_auto_import_) OnnxShape_1 (class in mlprodict.npy.xop_auto_import_) OnnxShape_13 (class in mlprodict.npy.xop_auto_import_) OnnxShape_15 (class in mlprodict.npy.xop_auto_import_) OnnxShapeInference (class in mlprodict.onnxrt.onnx_shape_inference) OnnxShrink (class in mlprodict.npy.xop_auto_import_) OnnxShrink_9 (class in mlprodict.npy.xop_auto_import_) OnnxSigmoid (class in mlprodict.npy.xop_auto_import_) OnnxSigmoid_1 (class in mlprodict.npy.xop_auto_import_) OnnxSigmoid_13 (class in mlprodict.npy.xop_auto_import_) OnnxSigmoid_6 (class in mlprodict.npy.xop_auto_import_) OnnxSign (class in mlprodict.npy.xop_auto_import_) OnnxSign_13 (class in mlprodict.npy.xop_auto_import_) OnnxSign_9 (class in mlprodict.npy.xop_auto_import_) OnnxSin (class in mlprodict.npy.xop_auto_import_) OnnxSin_7 (class in mlprodict.npy.xop_auto_import_) OnnxSinh (class in mlprodict.npy.xop_auto_import_) OnnxSinh_9 (class in mlprodict.npy.xop_auto_import_) OnnxSize (class in mlprodict.npy.xop_auto_import_) OnnxSize_1 (class in mlprodict.npy.xop_auto_import_) OnnxSize_13 (class in mlprodict.npy.xop_auto_import_) onnxsklearn_class() (in module mlprodict.npy.onnx_sklearn_wrapper) onnxsklearn_classifier() (in module mlprodict.npy.onnx_sklearn_wrapper) onnxsklearn_cluster() (in module mlprodict.npy.onnx_sklearn_wrapper) onnxsklearn_regressor() (in module mlprodict.npy.onnx_sklearn_wrapper) onnxsklearn_transformer() (in module mlprodict.npy.onnx_sklearn_wrapper) OnnxSlice (class in mlprodict.npy.xop_auto_import_) OnnxSlice_1 (class in mlprodict.npy.xop_auto_import_) OnnxSlice_10 (class in mlprodict.npy.xop_auto_import_) OnnxSlice_11 (class in mlprodict.npy.xop_auto_import_) OnnxSlice_13 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmax (class in mlprodict.npy.xop_auto_import_) OnnxSoftmax_1 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmax_11 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmax_13 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmaxCrossEntropyLoss (class in mlprodict.npy.xop_auto_import_) OnnxSoftmaxCrossEntropyLoss_12 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmaxCrossEntropyLoss_13 (class in mlprodict.npy.xop_auto_import_) OnnxSoftmaxGrad (in module mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxSoftmaxGrad_13 (class in mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxSoftplus (class in mlprodict.npy.xop_auto_import_) OnnxSoftplus_1 (class in mlprodict.npy.xop_auto_import_) OnnxSoftsign (class in mlprodict.npy.xop_auto_import_) OnnxSoftsign_1 (class in mlprodict.npy.xop_auto_import_) OnnxSpaceToDepth (class in mlprodict.npy.xop_auto_import_) OnnxSpaceToDepth_1 (class in mlprodict.npy.xop_auto_import_) OnnxSpaceToDepth_13 (class in mlprodict.npy.xop_auto_import_) OnnxSpeedupClassifier (class in mlprodict.sklapi.onnx_speed_up) OnnxSpeedupCluster (class in mlprodict.sklapi.onnx_speed_up) OnnxSpeedupRegressor (class in mlprodict.sklapi.onnx_speed_up) OnnxSpeedupTransformer (class in mlprodict.sklapi.onnx_speed_up) OnnxSplit (class in mlprodict.npy.xop_auto_import_) OnnxSplit_1 (class in mlprodict.npy.xop_auto_import_) OnnxSplit_11 (class in mlprodict.npy.xop_auto_import_) OnnxSplit_13 (class in mlprodict.npy.xop_auto_import_) OnnxSplit_2 (class in mlprodict.npy.xop_auto_import_) OnnxSplitApi11() (in module mlprodict.npy.xop_opset) OnnxSplitToSequence (class in mlprodict.npy.xop_auto_import_) OnnxSplitToSequence_11 (class in mlprodict.npy.xop_auto_import_) OnnxSqrt (class in mlprodict.npy.xop_auto_import_) OnnxSqrt_1 (class in mlprodict.npy.xop_auto_import_) OnnxSqrt_13 (class in mlprodict.npy.xop_auto_import_) OnnxSqrt_6 (class in mlprodict.npy.xop_auto_import_) OnnxSqueeze (class in mlprodict.npy.xop_auto_import_) OnnxSqueeze_1 (class in mlprodict.npy.xop_auto_import_) OnnxSqueeze_11 (class in mlprodict.npy.xop_auto_import_) OnnxSqueeze_13 (class in mlprodict.npy.xop_auto_import_) OnnxSqueezeApi11() (in module mlprodict.npy.xop_opset) OnnxStringNormalizer (class in mlprodict.npy.xop_auto_import_) OnnxStringNormalizer_10 (class in mlprodict.npy.xop_auto_import_) OnnxSub (class in mlprodict.npy.xop_auto_import_) OnnxSub_1 (class in mlprodict.npy.xop_auto_import_) OnnxSub_13 (class in mlprodict.npy.xop_auto_import_) OnnxSub_14 (class in mlprodict.npy.xop_auto_import_) OnnxSub_6 (class in mlprodict.npy.xop_auto_import_) OnnxSub_7 (class in mlprodict.npy.xop_auto_import_) OnnxSubEstimator (class in mlprodict.npy.xop_convert) OnnxSubOnnx (class in mlprodict.npy.xop_convert) OnnxSum (class in mlprodict.npy.xop_auto_import_) OnnxSum_1 (class in mlprodict.npy.xop_auto_import_) OnnxSum_13 (class in mlprodict.npy.xop_auto_import_) OnnxSum_6 (class in mlprodict.npy.xop_auto_import_) OnnxSum_8 (class in mlprodict.npy.xop_auto_import_) OnnxTan (class in mlprodict.npy.xop_auto_import_) OnnxTan_7 (class in mlprodict.npy.xop_auto_import_) OnnxTanh (class in mlprodict.npy.xop_auto_import_) OnnxTanh_1 (class in mlprodict.npy.xop_auto_import_) OnnxTanh_13 (class in mlprodict.npy.xop_auto_import_) OnnxTanh_6 (class in mlprodict.npy.xop_auto_import_) OnnxTfIdfVectorizer (class in mlprodict.npy.xop_auto_import_) OnnxTfIdfVectorizer_9 (class in mlprodict.npy.xop_auto_import_) OnnxThresholdedRelu (class in mlprodict.npy.xop_auto_import_) OnnxThresholdedRelu_10 (class in mlprodict.npy.xop_auto_import_) OnnxTile (class in mlprodict.npy.xop_auto_import_) OnnxTile_1 (class in mlprodict.npy.xop_auto_import_) OnnxTile_13 (class in mlprodict.npy.xop_auto_import_) OnnxTile_6 (class in mlprodict.npy.xop_auto_import_) OnnxTokenizer (in module mlprodict.onnx_conv.onnx_ops.onnx_tokenizer) OnnxTokenizer_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_tokenizer) OnnxTopK (class in mlprodict.npy.xop_auto_import_) OnnxTopK_1 (class in mlprodict.npy.xop_auto_import_) OnnxTopK_10 (class in mlprodict.npy.xop_auto_import_) OnnxTopK_11 (class in mlprodict.npy.xop_auto_import_) OnnxTransformer (class in mlprodict.sklapi.onnx_transformer) OnnxTranslator (class in mlprodict.onnx_tools.onnx_grammar.onnx_translator) OnnxTranslator.Parameter (class in mlprodict.onnx_tools.onnx_grammar.onnx_translator) OnnxTranspose (class in mlprodict.npy.xop_auto_import_) OnnxTranspose_1 (class in mlprodict.npy.xop_auto_import_) OnnxTranspose_13 (class in mlprodict.npy.xop_auto_import_) OnnxTrilu (class in mlprodict.npy.xop_auto_import_) OnnxTrilu_14 (class in mlprodict.npy.xop_auto_import_) OnnxUnique (class in mlprodict.npy.xop_auto_import_) OnnxUnique_11 (class in mlprodict.npy.xop_auto_import_) OnnxUnsqueeze (class in mlprodict.npy.xop_auto_import_) OnnxUnsqueeze_1 (class in mlprodict.npy.xop_auto_import_) OnnxUnsqueeze_11 (class in mlprodict.npy.xop_auto_import_) OnnxUnsqueeze_13 (class in mlprodict.npy.xop_auto_import_) OnnxUnsqueezeApi11() (in module mlprodict.npy.xop_opset) OnnxUpsample (class in mlprodict.npy.xop_auto_import_) OnnxUpsample_10 (class in mlprodict.npy.xop_auto_import_) OnnxUpsample_7 (class in mlprodict.npy.xop_auto_import_) OnnxUpsample_9 (class in mlprodict.npy.xop_auto_import_) OnnxVar (class in mlprodict.npy.onnx_variable) OnnxVarGraph (class in mlprodict.npy.numpy_onnx_impl_body) onnxview onnxview() (in module mlprodict.nb_helper) (mlprodict.nb_helper.OnnxNotebook method) OnnxWhere (class in mlprodict.npy.xop_auto_import_) OnnxWhere_16 (class in mlprodict.npy.xop_auto_import_) OnnxWhere_9 (class in mlprodict.npy.xop_auto_import_) OnnxWholeSession (class in mlprodict.onnxrt.ops_whole.session) OnnxXor (class in mlprodict.npy.xop_auto_import_) OnnxXor_1 (class in mlprodict.npy.xop_auto_import_) OnnxXor_7 (class in mlprodict.npy.xop_auto_import_) OnnxYieldOp (in module mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) OnnxYieldOp_1 (class in mlprodict.onnx_conv.onnx_ops.onnx_gradient_op) op_version (mlprodict.sklapi.onnx_speed_up._OnnxPipelineStepSpeedup property) OperatorSchema (class in mlprodict.onnxrt.ops_cpu._new_ops) OpRun (class in mlprodict.onnxrt.ops_cpu._op) OpRunArg (class in mlprodict.onnxrt.ops_cpu._op) OpRunBinary (class in mlprodict.onnxrt.ops_cpu._op) OpRunBinaryComparison (class in mlprodict.onnxrt.ops_cpu._op) OpRunBinaryNum (class in mlprodict.onnxrt.ops_cpu._op) OpRunBinaryNumpy (class in mlprodict.onnxrt.ops_cpu._op) OpRunClassifierProb (class in mlprodict.onnxrt.ops_cpu._op) OpRunCustom (class in mlprodict.onnxrt.ops_cpu._op) OpRunCustom.OpRunCustomSchema (class in mlprodict.onnxrt.ops_cpu._op) OpRunOnnxEmpty (class in mlprodict.onnxrt.ops_empty._op) OpRunOnnxRuntime (class in mlprodict.onnxrt.ops_onnxruntime._op) OpRunReduceNumpy (class in mlprodict.onnxrt.ops_cpu._op) OpRunUnary (class in mlprodict.onnxrt.ops_cpu._op) OpRunUnaryNum (class in mlprodict.onnxrt.ops_cpu._op) opsets (mlprodict.sklapi.onnx_transformer.OnnxTransformer property) optimize_decompose_einsum_equation() (in module mlprodict.testing.einsum.einsum_fct) Optimizes an ONNX graph Or (class in mlprodict.onnxrt.ops_cpu.op_or) or_() (mlprodict.npy.xop.OnnxOperator method) order() (mlprodict.tools.graphs.BiGraph method) order_vertices() (mlprodict.tools.graphs.BiGraph method) output_names (mlprodict.npy.xop.OnnxOperator property) (mlprodict.npy.xop.OnnxOperatorBase property) (mlprodict.npy.xop.OnnxOperatorItem property) (mlprodict.npy.xop.OnnxOperatorTuple property) (mlprodict.onnxrt.backend._CombineModels property) (mlprodict.onnxrt.onnx_inference.OnnxInference property) (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime property) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference property) output_names_shapes (mlprodict.onnxrt.onnx_inference.OnnxInference property) output_names_shapes_types (mlprodict.onnxrt.onnx_inference.OnnxInference property) OutputDetectedVariable (class in mlprodict.npy.xop_variable) OutputNames (mlprodict.grammar.grammar_sklearn.grammar.gmlactions.MLModel property) outputs (mlprodict.npy.xop.OnnxOperatorTuple property) overwrite_opset() (in module mlprodict.onnx_tools.onnx_manipulations)

P

Pad (class in mlprodict.onnxrt.ops_cpu.op_pad) pad() (in module mlprodict.npy.numpy_onnx_impl) pairwise_array_distances() (in module mlprodict.onnx_tools.optim.sklearn_helper) par_ydtype (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark attribute) parser_transfer_transformer() (in module mlprodict.onnx_conv.operator_converters.conv_transfer_transformer) peakmem_predict() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) plot plot_benchmark_metrics() (in module mlprodict.plotting.plotting_benchmark) plot_onnx() (in module mlprodict.cli.onnx_code) (in module mlprodict.plotting.plotting_onnx) plot_validate_benchmark() (in module mlprodict.plotting.plotting_validate_graph) Plots an ONNX graph as text plotting post_transform_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) Pow (class in mlprodict.onnxrt.ops_cpu.op_pow) predecessors() (mlprodict.npy.xop.OnnxOperator method) predict() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupRegressor method) predict_proba() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method)

predict_transposition_cost() (in module mlprodict.testing.einsum.einsum_ml) PRelu (class in mlprodict.onnxrt.ops_cpu.op_prelu) prepare() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) prepare_c_profiling() (in module mlprodict.tools.ort_wrapper) preprocess_parameters() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) print_code() (in module mlprodict.tools.code_helper) print_node() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor static method) (mlprodict.testing.verify_code.CodeNodeVisitor static method) print_tree() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.testing.verify_code.CodeNodeVisitor method) process_profiling() (mlprodict.onnxrt.ops_whole.session.OnnxWholeSession static method) prod() (in module mlprodict.npy.numpy_onnx_impl) product() (mlprodict.onnxrt.shape_object.ShapeObject method) profiling proto2dtype() (in module mlprodict.onnxrt.ops_cpu._op_helper) proto2vars() (in module mlprodict.onnx_tools.optim.graph_schema_helper) proto_added_shape (mlprodict.npy.xop_variable.Variable property) proto_added_type (mlprodict.npy.xop_variable.Variable property) proto_type (mlprodict.npy.xop_variable.Variable property) push() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.testing.verify_code.CodeNodeVisitor method) py_make_float_array() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) py_mul() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) py_opp() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) py_pow() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) pycelu() (in module mlprodict.onnxrt.ops_cpu.op_celu) pygemm() (in module mlprodict.testing.einsum.blas_lapack) python_inputs (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode property)

Q

QLinearConv (class in mlprodict.onnxrt.ops_cpu.op_qlinear_conv) QLinearConvInt8 (class in mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) QLinearConvUInt8 (class in mlprodict.onnxrt.ops_cpu.op_qlinear_conv_)

QuantizedBiasTensor (class in mlprodict.testing.test_utils.quantized_tensor) QuantizedTensor (class in mlprodict.testing.test_utils.quantized_tensor) QuantizeLinear (class in mlprodict.onnxrt.ops_cpu.op_quantize_linear)

R

randint() (in module mlprodict.onnx_tools.model_checker) random_feed() (in module mlprodict.onnxrt.validate.validate_latency) RandomNormal (class in mlprodict.onnxrt.ops_cpu.op_random) RandomNormalLike (class in mlprodict.onnxrt.ops_cpu.op_random) RandomUniform (class in mlprodict.onnxrt.ops_cpu.op_random) RandomUniformLike (class in mlprodict.onnxrt.ops_cpu.op_random) Range (class in mlprodict.onnxrt.ops_cpu.op_range) raw_predict() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupRegressor method) raw_predict_proba() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupClassifier method) raw_transform() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupTransformer method) Reciprocal (class in mlprodict.onnxrt.ops_cpu.op_reciprocal) reciprocal() (in module mlprodict.npy.numpy_onnx_impl) reduce() (mlprodict.onnxrt.shape_object.ShapeObject method) reduce_size() (mlprodict.onnxrt.onnx_inference.OnnxInference method) ReduceL1 (class in mlprodict.onnxrt.ops_cpu.op_reduce_l1) ReduceL2 (class in mlprodict.onnxrt.ops_cpu.op_reduce_l2) ReduceLogSum (class in mlprodict.onnxrt.ops_cpu.op_reduce_log_sum) ReduceLogSumExp (class in mlprodict.onnxrt.ops_cpu.op_reduce_log_sum_exp) ReduceMax (class in mlprodict.onnxrt.ops_cpu.op_reduce_max) ReduceMean (class in mlprodict.onnxrt.ops_cpu.op_reduce_mean) ReduceMin (class in mlprodict.onnxrt.ops_cpu.op_reduce_min) ReduceProd (class in mlprodict.onnxrt.ops_cpu.op_reduce_prod) ReduceSum (in module mlprodict.onnxrt.ops_cpu.op_reduce_sum) ReduceSum_1 (class in mlprodict.onnxrt.ops_cpu.op_reduce_sum) ReduceSum_11 (class in mlprodict.onnxrt.ops_cpu.op_reduce_sum) ReduceSum_13 (class in mlprodict.onnxrt.ops_cpu.op_reduce_sum) ReduceSumSquare (class in mlprodict.onnxrt.ops_cpu.op_reduce_sum_square) register_converters() (in module mlprodict.onnx_conv.register) register_onnx_magics() (in module mlprodict.nb_helper) register_operator() (in module mlprodict.onnxrt.ops_cpu) register_rewritten_operators() (in module mlprodict.onnx_conv.register_rewritten_converters) register_scorers() (in module mlprodict.onnx_conv.scorers.register) regressor() (in module mlprodict.npy.numpy_onnx_impl_skl) Relu (class in mlprodict.onnxrt.ops_cpu.op_relu) relu() (in module mlprodict.npy.numpy_onnx_impl) remove_duplicate_transpose() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) remove_node() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) reorder_nodes_for_display() (in module mlprodict.plotting.text_plot) replace_all_inputs() (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) Replays a benchmark of stored converted models by validate_runtime reserve_name() (mlprodict.npy.xop._GraphBuilder method) reserve_names() (mlprodict.npy.xop._GraphBuilder method) Reshape (in module mlprodict.onnxrt.ops_cpu.op_reshape) reshape() (mlprodict.npy.onnx_variable.OnnxVar method) (mlprodict.onnxrt.shape_object.ShapeObject method) Reshape_13 (class in mlprodict.onnxrt.ops_cpu.op_reshape) Reshape_14 (class in mlprodict.onnxrt.ops_cpu.op_reshape) Reshape_5 (class in mlprodict.onnxrt.ops_cpu.op_reshape) resolve() (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) (mlprodict.onnxrt.ops_shape.shape_result.ShapeResult method) restore_lgbm_info() (in module mlprodict.onnx_conv.helpers.lgbm_helper) RFFT (class in mlprodict.onnxrt.ops_cpu.op_rfft) RFFTSchema (class in mlprodict.onnxrt.ops_cpu.op_rfft) RNN (in module mlprodict.onnxrt.ops_cpu.op_rnn) RNN_14 (class in mlprodict.onnxrt.ops_cpu.op_rnn) RNN_7 (class in mlprodict.onnxrt.ops_cpu.op_rnn) roots_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property)

Round (class in mlprodict.onnxrt.ops_cpu.op_round) round() (in module mlprodict.npy.numpy_onnx_impl) Rows (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor property) (mlprodict.testing.verify_code.CodeNodeVisitor property) run() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.onnx_tools.exports.tf2onnx_helper.Tf2OnnxConvert method) (mlprodict.onnxrt.backend._CombineModels method) (mlprodict.onnxrt.backend.OnnxInferenceBackendRep method) (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.onnx_micro_runtime.OnnxMicroRuntime method) (mlprodict.onnxrt.onnx_shape_inference.OnnxShapeInference method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunArg method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinary method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNum method) (mlprodict.onnxrt.ops_cpu._op.OpRunClassifierProb method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnary method) (mlprodict.onnxrt.ops_cpu._op.OpRunUnaryNum method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_max.Max method) (mlprodict.onnxrt.ops_cpu.op_min.Min method) (mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13 method) (mlprodict.onnxrt.ops_empty._op.OpRunOnnxEmpty method) (mlprodict.onnxrt.ops_onnxruntime._op.OpRunOnnxRuntime method) (mlprodict.onnxrt.ops_whole.session.OnnxWholeSession method) (mlprodict.onnxrt.validate.validate_benchmark_replay.SimplifiedOnnxInference method) (mlprodict.testing.onnx_backend.OnnxBackendTest method) (mlprodict.testing.test_utils.utils_backend_onnxruntime.InferenceSession2 method) (mlprodict.testing.test_utils.utils_backend_python.OnnxInference2 method) (mlprodict.tools.ort_wrapper.InferenceSession method) run2onnx() (mlprodict.onnxrt.onnx_inference.OnnxInference method) run_in_scan() (mlprodict.testing.test_utils.utils_backend_python.OnnxInference2 method) run_model() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendPyEval class method) (mlprodict.onnxrt.backend.OnnxInferenceBackendShape class method) run_node() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) runtime runtime_name() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) runtime_options() (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_classifier_.RuntimeSVMClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_svm_regressor_.RuntimeSVMRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble method) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat method) RuntimeBadResultsError RuntimeSVMClassifierDouble (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier_) RuntimeSVMClassifierFloat (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier_) RuntimeSVMRegressorDouble (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor_) RuntimeSVMRegressorFloat (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor_) RuntimeTfIdfVectorizer (class in mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer_) RuntimeTreeEnsembleClassifierDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_) RuntimeTreeEnsembleClassifierFloat (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_) RuntimeTreeEnsembleClassifierPDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_) RuntimeTreeEnsembleClassifierPFloat (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_) RuntimeTreeEnsembleRegressorDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_) RuntimeTreeEnsembleRegressorFloat (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_) RuntimeTreeEnsembleRegressorPDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) RuntimeTreeEnsembleRegressorPFloat (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) RuntimeTypeError

S

same_mode_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_.RuntimeTreeEnsembleClassifierFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier_p_.RuntimeTreeEnsembleClassifierPFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_.RuntimeTreeEnsembleRegressorPFloat property) Scaler (class in mlprodict.onnxrt.ops_cpu.op_scaler) Scan (class in mlprodict.onnxrt.ops_cpu.op_scan) scatter_elements() (in module mlprodict.onnxrt.ops_cpu.op_scatter_elements) ScatterElements (class in mlprodict.onnxrt.ops_cpu.op_scatter_elements) scikit-learn score_cdist_sum() (in module mlprodict.onnx_conv.scorers.cdist_score) select_attribute() (in module mlprodict.onnx_tools.onnx_export) select_model_inputs_outputs() (in module mlprodict.onnx_tools.onnx_manipulations) Selu (class in mlprodict.onnxrt.ops_cpu.op_selu) SentencePieceTokenizerTransformer (class in mlprodict.sklapi.onnx_tokenizer) SequenceAt (class in mlprodict.onnxrt.ops_cpu.op_sequence_at) SequenceConstruct (class in mlprodict.onnxrt.ops_cpu.op_sequence_construct) SequenceInsert (class in mlprodict.onnxrt.ops_cpu.op_sequence_insert) SequenceType (class in mlprodict.onnxrt.type_object) set_n_jobs() (in module mlprodict.onnx_tools.optim.sklearn_helper) set_onnx_name() (mlprodict.npy.onnx_variable.OnnxVar method) set_order() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) set_random_state() (in module mlprodict.tools.model_info) setup() (in module mlprodict.npy.xop_sphinx) (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) setup_cache() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) (mlprodict.asv_benchmark.template.skl_model_classifier.TemplateBenchmarkClassifier method) (mlprodict.asv_benchmark.template.skl_model_classifier_raw_scores.TemplateBenchmarkClassifierRawScore method) (mlprodict.asv_benchmark.template.skl_model_clustering.TemplateBenchmarkClustering method) (mlprodict.asv_benchmark.template.skl_model_multi_classifier.TemplateBenchmarkMultiClassifier method) (mlprodict.asv_benchmark.template.skl_model_outlier.TemplateBenchmarkOutlier method) (mlprodict.asv_benchmark.template.skl_model_regressor.TemplateBenchmarkRegressor method) (mlprodict.asv_benchmark.template.skl_model_trainable_transform.TemplateBenchmarkTrainableTransform method) (mlprodict.asv_benchmark.template.skl_model_transform.TemplateBenchmarkTransform method) (mlprodict.asv_benchmark.template.skl_model_transform_positive.TemplateBenchmarkTransformPositive method) setup_runtime() (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) sgemm_dot() (in module mlprodict.testing.einsum.direct_blas_lapack) Shape (class in mlprodict.onnxrt.ops_cpu.op_shape) shape (mlprodict.npy.onnx_variable.OnnxVar property) (mlprodict.npy.xop_variable.Variable property) (mlprodict.onnxrt.shape_object.ShapeObject property) (mlprodict.testing.test_utils.utils_backend_python.MockVariableName property) (mlprodict.testing.test_utils.utils_backend_python.MockVariableNameShape property) shape_abs() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_acos() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_acosh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_add() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_and() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_asin() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_asinh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_atan() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_atanh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_calculator() (mlprodict.npy.onnx_numpy_annotation._NDArrayAlias method) shape_calculator_lightgbm_concat() (in module mlprodict.onnx_conv.operator_converters.parse_lightgbm) shape_calculator_transfer_transformer() (in module mlprodict.onnx_conv.operator_converters.conv_transfer_transformer) shape_castlike() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_ceil() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_celu() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_clip() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_cos() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_cosh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_det() (in module mlprodict.onnxrt.ops_shape._op_shape_op) shape_dispatch() (in module mlprodict.onnxrt.ops_shape) shape_div() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_elu() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_equal() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_erf() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_exp() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_floor() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_greater() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_greaterorequal() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_hardmax() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_hardsigmoid() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_identity() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_inference() (mlprodict.onnxrt.onnx_inference.OnnxInference method) shape_isinf() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_isnan() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_leakyrelu() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_less() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_lessorequal() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_log() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_logsoftmax() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_max() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_min() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_mod() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_mul() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_neg() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_not() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_or() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_pow() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_reciprocal() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_relu() (in module mlprodict.onnxrt.ops_shape._element_unary)

shape_round() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_selu() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sigmoid() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sign() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sin() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sinh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_softmax() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sqrt() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_sub() (in module mlprodict.onnxrt.ops_shape._element_wise) shape_tan() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_tanh() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_trilu() (in module mlprodict.onnxrt.ops_shape._element_unary) shape_xor() (in module mlprodict.onnxrt.ops_shape._element_wise) ShapeBinaryFctOperator (class in mlprodict.onnxrt.shape_object) ShapeBinaryOperator (class in mlprodict.onnxrt.shape_object) ShapeConstraint (class in mlprodict.onnxrt.ops_shape.shape_result) ShapeConstraintList (class in mlprodict.onnxrt.ops_shape.shape_result) ShapeContainer (class in mlprodict.onnxrt.ops_shape.shape_container) ShapeInferenceException ShapeObject (class in mlprodict.onnxrt.shape_object) ShapeObjectFct (class in mlprodict.onnxrt.shape_object) ShapeOperator (class in mlprodict.onnxrt.shape_object) ShapeOperatorAdd (class in mlprodict.onnxrt.shape_object) ShapeOperatorGreater (class in mlprodict.onnxrt.shape_object) ShapeOperatorMax (class in mlprodict.onnxrt.shape_object) ShapeOperatorMul (class in mlprodict.onnxrt.shape_object) ShapeResult (class in mlprodict.onnxrt.ops_shape.shape_result) short_list_zoo_models() (in module mlprodict.tools.zoo) shorten_onnx_options() (in module mlprodict.tools.asv_options_helper) side_by_side_by_values() (in module mlprodict.onnxrt.validate.side_by_side) Sigmoid (class in mlprodict.onnxrt.ops_cpu.op_sigmoid) sigmoid() (in module mlprodict.npy.numpy_onnx_impl) Sign (class in mlprodict.onnxrt.ops_cpu.op_sign) sign() (in module mlprodict.npy.numpy_onnx_impl) SimplifiedOnnxInference (class in mlprodict.onnxrt.validate.validate_benchmark_replay) simplify_mm_nodes() (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) Sin (class in mlprodict.onnxrt.ops_cpu.op_sin) sin() (in module mlprodict.npy.numpy_onnx_impl) single_axes() (in module mlprodict.testing.einsum.einsum_impl_classes) Sinh (class in mlprodict.onnxrt.ops_cpu.op_sinh) sinh() (in module mlprodict.npy.numpy_onnx_impl) Size (class in mlprodict.onnxrt.ops_cpu.op_size) size (mlprodict.npy.onnx_variable.OnnxVar property) sklearn-onnx sklearn2graph() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_main) sklearn_decision_tree_regressor() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_tree) sklearn_linear_regression() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_linear_model) sklearn_logistic_regression() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_linear_model) sklearn_operators() (in module mlprodict.onnxrt.validate.validate_helper) sklearn_standard_scaler() (in module mlprodict.grammar.grammar_sklearn.g_sklearn_preprocessing) Slice (in module mlprodict.onnxrt.ops_cpu.op_slice) Slice_1 (class in mlprodict.onnxrt.ops_cpu.op_slice) Slice_10 (class in mlprodict.onnxrt.ops_cpu.op_slice) SliceCommon (class in mlprodict.onnxrt.ops_cpu.op_slice) softcast() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) Softmax (class in mlprodict.onnxrt.ops_cpu.op_softmax) softmaxcrossentropy() (in module mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss) SoftmaxCrossEntropyLoss (class in mlprodict.onnxrt.ops_cpu.op_softmax_cross_entropy_loss) SoftmaxGrad (in module mlprodict.onnxrt.ops_cpu.op_softmax) SoftmaxGrad_13 (class in mlprodict.onnxrt.ops_cpu.op_softmax) SoftmaxGradSchema (class in mlprodict.onnxrt.ops_cpu.op_softmax) Solve (class in mlprodict.onnxrt.ops_cpu.op_solve) SolveSchema (class in mlprodict.onnxrt.ops_cpu.op_solve) Split (in module mlprodict.onnxrt.ops_cpu.op_split) Split_11 (class in mlprodict.onnxrt.ops_cpu.op_split) Split_13 (class in mlprodict.onnxrt.ops_cpu.op_split) Split_2 (class in mlprodict.onnxrt.ops_cpu.op_split) split_columns_subsets() (in module mlprodict.onnxrt.doc.doc_write_helper) Sqrt (class in mlprodict.onnxrt.ops_cpu.op_sqrt) sqrt() (in module mlprodict.npy.numpy_onnx_impl) squareform_pdist() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) Squeeze (in module mlprodict.onnxrt.ops_cpu.op_squeeze) squeeze() (in module mlprodict.npy.numpy_onnx_impl) (mlprodict.onnxrt.shape_object.ShapeObject method) Squeeze_1 (class in mlprodict.onnxrt.ops_cpu.op_squeeze) Squeeze_11 (class in mlprodict.onnxrt.ops_cpu.op_squeeze) Squeeze_13 (class in mlprodict.onnxrt.ops_cpu.op_squeeze) StringNormalizer (class in mlprodict.onnxrt.ops_cpu.op_string_normalizer) strip_accents_unicode() (mlprodict.onnxrt.ops_cpu.op_string_normalizer.StringNormalizer method) Sub (class in mlprodict.onnxrt.ops_cpu.op_sub) Sum (class in mlprodict.onnxrt.ops_cpu.op_sum) sum() (in module mlprodict.npy.numpy_onnx_impl) summarize() (mlprodict.tools.graphs.BiGraph method) summary_report() (in module mlprodict.onnxrt.validate.validate_summary) supports_device() (mlprodict.onnxrt.backend.OnnxInferenceBackend class method) SVMClassifier (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier) SVMClassifierCommon (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier) SVMClassifierDouble (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier) SVMClassifierDoubleSchema (class in mlprodict.onnxrt.ops_cpu.op_svm_classifier) SVMRegressor (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor) SVMRegressorCommon (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor) SVMRegressorDouble (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor) SVMRegressorDoubleSchema (class in mlprodict.onnxrt.ops_cpu.op_svm_regressor) switch_initializers_dtype() (mlprodict.onnxrt.onnx_inference.OnnxInference method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.ops_cpu._op.OpRun method)

T

T (mlprodict.npy.onnx_variable.OnnxVar property) Tan (class in mlprodict.onnxrt.ops_cpu.op_tan) tan() (in module mlprodict.npy.numpy_onnx_impl) Tanh (class in mlprodict.onnxrt.ops_cpu.op_tanh) tanh() (in module mlprodict.npy.numpy_onnx_impl) target_ids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) target_nodeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) target_treeids_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) target_weights_ (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorDouble property) (mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_.RuntimeTreeEnsembleRegressorFloat property) TemplateBenchmarkClassifier (class in mlprodict.asv_benchmark.template.skl_model_classifier) TemplateBenchmarkClassifierRawScore (class in mlprodict.asv_benchmark.template.skl_model_classifier_raw_scores) TemplateBenchmarkClustering (class in mlprodict.asv_benchmark.template.skl_model_clustering) TemplateBenchmarkMultiClassifier (class in mlprodict.asv_benchmark.template.skl_model_multi_classifier) TemplateBenchmarkOutlier (class in mlprodict.asv_benchmark.template.skl_model_outlier) TemplateBenchmarkRegressor (class in mlprodict.asv_benchmark.template.skl_model_regressor) TemplateBenchmarkTrainableTransform (class in mlprodict.asv_benchmark.template.skl_model_trainable_transform) TemplateBenchmarkTransform (class in mlprodict.asv_benchmark.template.skl_model_transform) TemplateBenchmarkTransformPositive (class in mlprodict.asv_benchmark.template.skl_model_transform_positive) test_qgemm0() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qgemm1() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv() (in module mlprodict.testing.test_utils.quantized_tensor) test_qlinear_conv_Conv1D_U8S8() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv1D_U8S8_Depthwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv1D_U8S8_Dilations() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv1D_U8S8_Groups() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv1D_U8S8_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv1D_U8S8_Strides() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Depthwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_DepthwisePointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Dilations() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Groups() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Groups_PerChannel() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Groups_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Requantize_Bias() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Requantize_Bias_PerChannel() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Requantize_NoBias() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8S8_Strides() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8U8_Depthwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv2D_U8U8_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Depthwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Dilations() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Groups() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Groups_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Pointwise() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_conv_Conv3D_U8S8_Strides() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_qgemm_if() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_qgemm_ii() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_qgemm_uf() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_qlinear_qgemm_ui() (in module mlprodict.onnxrt.ops_cpu.op_qlinear_conv_) test_tree_regressor_multitarget_average() (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) test_tree_regressor_multitarget_max() (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) test_tree_regressor_multitarget_min() (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) test_tree_regressor_multitarget_sum() (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor_p_) tf2onnx, [1] Tf2OnnxConvert (class in mlprodict.onnx_tools.exports.tf2onnx_helper) tf_op (class in mlprodict.onnx_tools.exports.tf2onnx_helper) TfIdfVectorizer (class in mlprodict.onnxrt.ops_cpu.op_tfidfvectorizer) time_predict() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) timeexec() (in module mlprodict.testing.test_utils.tests_helper) timeit_repeat() (in module mlprodict.testing.test_utils.tests_helper) to_algebra() (mlprodict.npy.numpy_onnx_impl_body.AttributeGraph method) (mlprodict.npy.numpy_onnx_impl_body.OnnxVarGraph method) (mlprodict.npy.onnx_variable.MultiOnnxVar method) (mlprodict.npy.onnx_variable.OnnxVar method) to_bytes() (in module mlprodict.onnx_tools.onnx2py_helper) to_dot() (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) to_json() (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) to_onnx() (in module mlprodict.onnx_conv.convert) (mlprodict.npy.onnx_numpy_compiler.OnnxNumpyCompiler method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy method) (mlprodict.npy.onnx_numpy_wrapper.wrapper_onnxnumpy_np method) (mlprodict.npy.xop._GraphBuilder method) (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop.OnnxOperatorTuple method) (mlprodict.testing.einsum.einsum_impl_classes.EinsumSubOp method) (mlprodict.testing.einsum.einsum_impl_classes.GraphEinsumSubOp method) to_onnx_code() (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) to_onnx_this() (mlprodict.npy.xop.OnnxOperator method) (mlprodict.npy.xop_convert.OnnxSubOnnx method) to_python() (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode method) (mlprodict.onnxrt.onnx_inference_node.OnnxInferenceNode.OnnxInferenceWrapper method) (mlprodict.onnxrt.ops_cpu._op.OpRun method) (mlprodict.onnxrt.ops_cpu._op.OpRunBinaryNumpy method) (mlprodict.onnxrt.ops_cpu.op_abs.Abs method) (mlprodict.onnxrt.ops_cpu.op_acos.Acos method) (mlprodict.onnxrt.ops_cpu.op_acosh.Acosh method) (mlprodict.onnxrt.ops_cpu.op_and.And method) (mlprodict.onnxrt.ops_cpu.op_argmax._ArgMax method) (mlprodict.onnxrt.ops_cpu.op_argmax.ArgMax_12 method) (mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_11 method) (mlprodict.onnxrt.ops_cpu.op_argmin.ArgMin_12 method) (mlprodict.onnxrt.ops_cpu.op_asin.Asin method) (mlprodict.onnxrt.ops_cpu.op_asinh.Asinh method) (mlprodict.onnxrt.ops_cpu.op_atan.Atan method) (mlprodict.onnxrt.ops_cpu.op_atanh.Atanh method) (mlprodict.onnxrt.ops_cpu.op_cdist.CDist method) (mlprodict.onnxrt.ops_cpu.op_ceil.Ceil method) (mlprodict.onnxrt.ops_cpu.op_celu.Celu method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_11 method) (mlprodict.onnxrt.ops_cpu.op_clip.Clip_6 method) (mlprodict.onnxrt.ops_cpu.op_complex_abs.ComplexAbs method) (mlprodict.onnxrt.ops_cpu.op_compress.Compress method) (mlprodict.onnxrt.ops_cpu.op_concat.Concat method) (mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape method) (mlprodict.onnxrt.ops_cpu.op_cos.Cos method) (mlprodict.onnxrt.ops_cpu.op_cosh.Cosh method) (mlprodict.onnxrt.ops_cpu.op_cum_sum.CumSum method) (mlprodict.onnxrt.ops_cpu.op_debug.DEBUG method) (mlprodict.onnxrt.ops_cpu.op_det.Det method) (mlprodict.onnxrt.ops_cpu.op_einsum.Einsum method) (mlprodict.onnxrt.ops_cpu.op_elu.Elu method) (mlprodict.onnxrt.ops_cpu.op_equal.Equal method) (mlprodict.onnxrt.ops_cpu.op_erf.Erf method) (mlprodict.onnxrt.ops_cpu.op_exp.Exp method) (mlprodict.onnxrt.ops_cpu.op_eyelike.EyeLike method) (mlprodict.onnxrt.ops_cpu.op_fft.FFT method) (mlprodict.onnxrt.ops_cpu.op_fft2d.FFT2D method) (mlprodict.onnxrt.ops_cpu.op_flatten.Flatten method) (mlprodict.onnxrt.ops_cpu.op_floor.Floor method) (mlprodict.onnxrt.ops_cpu.op_gather_elements.GatherElements method) (mlprodict.onnxrt.ops_cpu.op_greater.Greater method) (mlprodict.onnxrt.ops_cpu.op_greater.GreaterOrEqual method) (mlprodict.onnxrt.ops_cpu.op_hard_sigmoid.HardSigmoid method) (mlprodict.onnxrt.ops_cpu.op_hardmax.Hardmax method) (mlprodict.onnxrt.ops_cpu.op_identity.Identity method) (mlprodict.onnxrt.ops_cpu.op_isinf.IsInf method) (mlprodict.onnxrt.ops_cpu.op_isnan.IsNaN method) (mlprodict.onnxrt.ops_cpu.op_leaky_relu.LeakyRelu method) (mlprodict.onnxrt.ops_cpu.op_less.Less method) (mlprodict.onnxrt.ops_cpu.op_less.LessOrEqual method) (mlprodict.onnxrt.ops_cpu.op_log.Log method) (mlprodict.onnxrt.ops_cpu.op_log_softmax.LogSoftmax method) (mlprodict.onnxrt.ops_cpu.op_matmul.MatMul method) (mlprodict.onnxrt.ops_cpu.op_mod.Mod method) (mlprodict.onnxrt.ops_cpu.op_neg.Neg method) (mlprodict.onnxrt.ops_cpu.op_not.Not method) (mlprodict.onnxrt.ops_cpu.op_or.Or method) (mlprodict.onnxrt.ops_cpu.op_pow.Pow method) (mlprodict.onnxrt.ops_cpu.op_prelu.PRelu method) (mlprodict.onnxrt.ops_cpu.op_random.Bernoulli method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormal method) (mlprodict.onnxrt.ops_cpu.op_random.RandomNormalLike method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniform method) (mlprodict.onnxrt.ops_cpu.op_random.RandomUniformLike method) (mlprodict.onnxrt.ops_cpu.op_reciprocal.Reciprocal method) (mlprodict.onnxrt.ops_cpu.op_relu.Relu method) (mlprodict.onnxrt.ops_cpu.op_rfft.RFFT method) (mlprodict.onnxrt.ops_cpu.op_round.Round method) (mlprodict.onnxrt.ops_cpu.op_selu.Selu method) (mlprodict.onnxrt.ops_cpu.op_sigmoid.Sigmoid method) (mlprodict.onnxrt.ops_cpu.op_sign.Sign method) (mlprodict.onnxrt.ops_cpu.op_sin.Sin method) (mlprodict.onnxrt.ops_cpu.op_sinh.Sinh method) (mlprodict.onnxrt.ops_cpu.op_softmax.Softmax method) (mlprodict.onnxrt.ops_cpu.op_solve.Solve method) (mlprodict.onnxrt.ops_cpu.op_sqrt.Sqrt method) (mlprodict.onnxrt.ops_cpu.op_sum.Sum method) (mlprodict.onnxrt.ops_cpu.op_tan.Tan method) (mlprodict.onnxrt.ops_cpu.op_tanh.Tanh method) (mlprodict.onnxrt.ops_cpu.op_transpose.Transpose method) (mlprodict.onnxrt.ops_cpu.op_trilu.Trilu method) (mlprodict.onnxrt.ops_cpu.op_xor.Xor method) (mlprodict.onnxrt.ops_cpu.op_yield_op.YieldOp method) (mlprodict.testing.onnx_backend.OnnxBackendTest method)

to_sequence() (mlprodict.onnxrt.onnx_inference.OnnxInference method) to_skl2onnx() (mlprodict.npy.xop_variable.Variable method) to_skl2onnx_type() (in module mlprodict.onnx_tools.onnx2py_helper) to_string() (mlprodict.onnxrt.shape_object.BaseDimensionShape method) (mlprodict.onnxrt.shape_object.DimensionObject method) (mlprodict.onnxrt.shape_object.ShapeBinaryOperator method) (mlprodict.onnxrt.shape_object.ShapeObject method) (mlprodict.onnxrt.shape_object.ShapeOperator method) to_text() (mlprodict.onnxrt.onnx_inference_exports.OnnxInferenceExport method) (mlprodict.tools.graphs.AdjacencyGraphDisplay method) Tokenizer (class in mlprodict.onnxrt.ops_cpu.op_tokenizer) TokenizerSchema (class in mlprodict.onnxrt.ops_cpu.op_tokenizer) TokenizerTransformerBase (class in mlprodict.sklapi.onnx_tokenizer) TopK (in module mlprodict.onnxrt.ops_cpu.op_topk) topk() (in module mlprodict.npy.numpy_onnx_impl) TopK_1 (class in mlprodict.onnxrt.ops_cpu.op_topk) TopK_10 (class in mlprodict.onnxrt.ops_cpu.op_topk) TopK_11 (class in mlprodict.onnxrt.ops_cpu.op_topk) topk_element_fetch_double() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_fetch_float() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_fetch_int64() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_max_double() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_max_float() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_max_int64() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_min_double() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_min_float() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_element_min_int64() (in module mlprodict.onnxrt.ops_cpu._op_onnx_numpy) topk_sorted_implementation() (in module mlprodict.onnxrt.ops_cpu.op_topk) topk_sorted_implementation_cpp() (in module mlprodict.onnxrt.ops_cpu.op_topk) track_nbnodes() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) track_onnxsize() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) track_score() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) track_vmlprodict() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) track_vort() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) track_vsklearn() (mlprodict.asv_benchmark.common_asv_skl._CommonAsvSklBenchmark method) transform() (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupCluster method) (mlprodict.sklapi.onnx_speed_up.OnnxSpeedupTransformer method) (mlprodict.sklapi.onnx_tokenizer.GPT2TokenizerTransformer method) (mlprodict.sklapi.onnx_tokenizer.SentencePieceTokenizerTransformer method) (mlprodict.sklapi.onnx_transformer.OnnxTransformer method) transformer() (in module mlprodict.npy.numpy_onnx_impl_skl) translate_fct2onnx() (in module mlprodict.onnx_tools.onnx_grammar.onnx_translation) Transpose (class in mlprodict.onnxrt.ops_cpu.op_transpose) transpose() (in module mlprodict.npy.numpy_onnx_impl) (mlprodict.onnxrt.shape_object.ShapeObject method) TreeEnsembleClassifier (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleClassifier_1 (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleClassifier_3 (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleClassifierCommon (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleClassifierDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleClassifierDoubleSchema (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_classifier) TreeEnsembleRegressor (in module mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) TreeEnsembleRegressor_1 (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) TreeEnsembleRegressor_3 (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) TreeEnsembleRegressorCommon (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) TreeEnsembleRegressorDouble (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) TreeEnsembleRegressorDoubleSchema (class in mlprodict.onnxrt.ops_cpu.op_tree_ensemble_regressor) Trilu (class in mlprodict.onnxrt.ops_cpu.op_trilu) type (mlprodict.testing.test_utils.utils_backend_python.MockVariableName property) (mlprodict.testing.test_utils.utils_backend_python.MockVariableNameShapeType property) type_mapping() (in module mlprodict.onnxrt.doc.doc_helper)

U

Unsqueeze (in module mlprodict.onnxrt.ops_cpu.op_unsqueeze) unsqueeze() (in module mlprodict.npy.numpy_onnx_impl) (mlprodict.onnxrt.shape_object.ShapeObject method) Unsqueeze_1 (class in mlprodict.onnxrt.ops_cpu.op_unsqueeze)

Unsqueeze_11 (class in mlprodict.onnxrt.ops_cpu.op_unsqueeze) Unsqueeze_13 (class in mlprodict.onnxrt.ops_cpu.op_unsqueeze) update() (mlprodict.onnxrt.ops_shape.shape_container.ShapeContainer method) update_max_item() (mlprodict.npy.xop.OnnxOperator method) update_registered_converter_npy() (in module mlprodict.npy.onnx_sklearn_wrapper)

V

validate() (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor method) (mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLType method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBClassifierConverter static method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBConverter static method) (mlprodict.onnx_conv.operator_converters.conv_xgboost.XGBRegressorConverter static method) validate_python_inference() (in module mlprodict.onnxrt.validate.validate_python) validate_runtime() (in module mlprodict.cli.validate) Validates a runtime against scikit-learn values (mlprodict.onnxrt.ops_cpu.op_zipmap.ArrayZipMapDictionary property) values() (mlprodict.onnxrt.ops_cpu.op_zipmap.ZipMapDictionary method) Variable (class in mlprodict.npy.xop_variable)

verbosity verify_code() (in module mlprodict.testing.verify_code) verify_model() (in module mlprodict.tools.zoo) verify_script() (in module mlprodict.testing.script_testing) version2number() (in module mlprodict.tools.asv_options_helper) visit() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.CodeTranslator method) (mlprodict.onnx_tools.onnx_grammar.onnx_translator.OnnxTranslator method) (mlprodict.testing.verify_code.CodeNodeVisitor method) visit_() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) visit_NameConstant() (mlprodict.onnx_tools.onnx_grammar.node_visitor_translator.CodeNodeVisitor method) visual_rst_template() (in module mlprodict.onnxrt.doc.doc_helper) vstack() (in module mlprodict.npy.numpy_onnx_impl)

W

Where (class in mlprodict.onnxrt.ops_cpu.op_where) where() (in module mlprodict.npy.numpy_onnx_impl) WrappedLightGbmBooster (class in mlprodict.onnx_conv.operator_converters.parse_lightgbm)

WrappedLightGbmBoosterClassifier (class in mlprodict.onnx_conv.operator_converters.parse_lightgbm) wrapper_onnxnumpy (class in mlprodict.npy.onnx_numpy_wrapper) wrapper_onnxnumpy_np (class in mlprodict.npy.onnx_numpy_wrapper)

X

XGBClassifierConverter (class in mlprodict.onnx_conv.operator_converters.conv_xgboost) XGBConverter (class in mlprodict.onnx_conv.operator_converters.conv_xgboost)

XGBRegressorConverter (class in mlprodict.onnx_conv.operator_converters.conv_xgboost) xop Xor (class in mlprodict.onnxrt.ops_cpu.op_xor)

Y

YieldOp (class in mlprodict.onnxrt.ops_cpu.op_yield_op)

YieldOpSchema (class in mlprodict.onnxrt.ops_cpu.op_yield_op)

Z

ZipMap (class in mlprodict.onnxrt.ops_cpu.op_zipmap)

ZipMapDictionary (class in mlprodict.onnxrt.ops_cpu.op_zipmap)