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Design
How-to
API
ONNX Operators
Examples
Miscellaneous
System Settings
Light
Dark
GitHub
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protos
AttributeProto
DeviceConfigurationProto
FunctionProto
GraphProto
IntIntListEntryProto
MapProto
Message
ModelProto
NodeDeviceConfigurationProto
NodeProto
OperatorSetIdProto
OperatorStatus
OptionalProto
SequenceProto
ShardedDimProto
ShardingSpecProto
SimpleShardedDimProto
SparseTensorProto
StringStringEntryProto
TensorAnnotation
TensorProto
TensorShapeProto
TypeProto
ValueInfoProto
Python API: onnx_light.onnx
Python API: onnx_light.backend
onnx_light.backend.coverage
onnx_light.backend.random
onnx_light.backend.runtime_coverage
onnx_light.onnx.checker
onnx_light.onnx.compose
onnx_light.onnx.defs
Expressions
onnx_light.compatibility
onnx_light.compatibility.schema_diff
onnx_light.onnx.helper
onnx_light.onnx.inliner
onnx_light.onnx.io_helper
onnx_light.onnx.numpy_helper
onnx_light.onnx_op
onnx_light.onnx.parser
onnx_light.onnx.shape_inference
onnx_light.onnx.utils
onnx_light.onnx.version_converter
C++ API
common
Helpers
simple_span
onnx
checker.h
onnx-data.pb.h
string_utils.h
common
array_ref.h
assertions.h
common.h
constants.h
file_utils.h
graph_node_list.h
ir.h
ir_pb_converter.h
narrow.h
onnx_pb.h
path.h
platform_helpers.h
proto_util.h
proto_utils.h
scoped_resource.h
status.h
string_utils.h
tensor.h
visitor.h
inliner
inliner.h
shape_inference
attribute_binder.h
implementation.h
version_converter
BaseConverter.h
convert.h
errors.h
helper.h
internal_symbol.h
adapters
onnx_defs
attr_proto_util.h
controlflow/utils.h
data_propagators.h
data_type_utils.h
doc_strings.h
function.h
generator/utils.h
math/utils.h
nn/utils.h
parser.h
printer.h
reduction/utils.h
schema.h
sequence/utils.h
shape_inference.h
tensor_proto_util.h
tensor/utils.h
tensor_util.h
traditionalml/utils.h
onnx_op
light_op_schema.h
operator_sets.h
operator_sets_controlflow.h
operator_sets_controlflow_doc.h
operator_sets_generator.h
operator_sets_generator_doc.h
operator_sets_image.h
operator_sets_image_doc.h
operator_sets_logical.h
operator_sets_logical_doc.h
operator_sets_math.h
operator_sets_math_doc.h
operator_sets_nn.h
operator_sets_nn_doc.h
operator_sets_object_detection.h
operator_sets_object_detection_doc.h
operator_sets_optional.h
operator_sets_optional_doc.h
operator_sets_preview.h
operator_sets_preview_doc.h
operator_sets_quantization.h
operator_sets_quantization_doc.h
operator_sets_reduction.h
operator_sets_reduction_doc.h
operator_sets_sequence.h
operator_sets_sequence_doc.h
operator_sets_tensor.h
operator_sets_tensor_doc.h
operator_sets_text.h
operator_sets_text_doc.h
operator_sets_traditionalml.h
operator_sets_traditionalml_doc.h
operator_sets_training.h
operator_sets_training_doc.h
onnx_optim
optim_tensor.h
optim_sequence.h
expressions.h
shapes
shapes_context.h
shape_broadcast.h
shape_check.h
shape_inference.h
controlflow
generator
logical
math
nn
optional
preview
quantization
reduction
sequence
tensor
text
traditionalml
training
onnx_backend_test
simple_tensor.h
simple_sequence.h
test_case.h
random.h
cases
include_controlflow_cases.h
include_generator_cases.h
include_logical_cases.h
include_math_cases.h
include_nn_cases.h
include_object_detection_cases.h
include_optional_cases.h
include_preview_cases.h
include_quantization_cases.h
include_reduction_cases.h
include_sequence_cases.h
include_tensor_cases.h
include_text_cases.h
include_traditionalml_cases.h
include_training_cases.h
kernels
elementwise_helpers.h
kernel_context.h
include_controlflow_kernels.h
include_generator_kernels.h
include_logical_kernels.h
include_math_kernels.h
include_nn_kernels.h
include_object_detection_kernels.h
include_optional_kernels.h
include_preview_kernels.h
include_quantization_kernels.h
include_reduction_kernels.h
include_sequence_kernels.h
include_tensor_kernels.h
include_text_kernels.h
include_traditionalml_kernels.h
include_training_kernels.h
onnx_proto
onnx.h
onnx_helper.h
onnx_alias.h
onnx_crypt.h
stream_class.h
stream.h
simple_string.h
simple_span.h
thread_pool.h
fields.h
API
C++ API
onnx_optim
shapes
training
training
#
Shape kernels for ONNX operators in the
training
family.
shape_training.h
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