module `onnxrt.ops_cpu.op_reduce_sum`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_reduce_sum

Runtime operator.

Classes#

class	truncated documentation
`ReduceSum_1`
`ReduceSum_11`
`ReduceSum_13`	ReduceSum ========= Computes the sum of the input tensor’s element along the provided axes. The resulted tensor has the …
`ReduceSum_13`	ReduceSum ========= Computes the sum of the input tensor’s element along the provided axes. The resulted tensor has the …

Properties#

property	truncated documentation
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default`	Returns the list of arguments as well as the list of parameters with the default values (close to the signature). …
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_default_modified`	Returns the list of modified parameters.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_mandatory`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`args_optional`	Returns the list of optional arguments.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.
`atts_value`	Returns all parameters in a dictionary.

Methods#

method	truncated documentation
`__init__`
`__init__`
`__init__`
`__init__`
`_infer_shapes`	Returns the same shape by default.
`_infer_shapes`	Returns the same shape by default.
`_infer_sizes`
`_infer_sizes`
`_infer_types`
`_infer_types`
`_run`
`_run`
`_run`
`_run`
`_run_no_checks_`
`_run_no_checks_`
`infer_shapes`
`infer_shapes`
`infer_types`
`infer_types`
`run`	Calls method `_run`.
`run`	Calls method `_run`.

Documentation#

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum#: alias of mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13

class mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_1(onnx_node, desc=None, **options)#

Bases: mlprodict.onnxrt.ops_cpu._op.OpRunReduceNumpy

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

__init__(onnx_node, desc=None, **options)#

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

_run(data)#

Should be overwritten.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_11(onnx_node, desc=None, **options)#

Bases: mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_1

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

__init__(onnx_node, desc=None, **options)#

Parameters

onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum_13(onnx_node, desc=None, **options)#

Bases: mlprodict.onnxrt.ops_cpu._op.OpRunReduceNumpy

Computes the sum of the input tensor’s element along the provided axes. The resulted tensor has the same rank as the input if keepdims equal 1. If keepdims equal 0, then the resulted tensor have the reduced dimension pruned.

The above behavior is similar to numpy, with the exception that numpy default keepdims to False instead of True.

Attributes

keepdims: Keep the reduced dimension or not, default 1 mean keep reduced dimension. Default value is namekeepdimsi1typeINT (INT)
noop_with_empty_axes: Defines behaviour if ‘axes’ is empty. Default behaviour with ‘false’ is to reduce all axes. When axes is empty and this attribute is set to true, input tensor will not be reduced,and the output tensor would be equivalent to input tensor. Default value is namenoopwithemptyaxesi0typeINT (INT)

Inputs

Between 1 and 2 inputs.

data (heterogeneous)T: An input tensor.
axes (optional, heterogeneous)tensor(int64): Optional input list of integers, along which to reduce. The default is to reduce over all the dimensions of the input tensor if ‘noop_with_empty_axes’ is false, else act as an Identity op when ‘noop_with_empty_axes’ is true. Accepted range is [-r, r-1] where r = rank(data).

Outputs

reduced (heterogeneous)T: Reduced output tensor.

Type Constraints

T tensor(uint32), tensor(uint64), tensor(int32), tensor(int64), tensor(float16), tensor(float), tensor(double), tensor(bfloat16): Constrain input and output types to high-precision numeric tensors.

Version

Onnx name: ReduceSum

This version of the operator has been available since version 13.

Runtime implementation: ReduceSum

Parameters