module onnxrt.ops_cpu.op_reduce_sum#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_reduce_sum

Short summary#

module mlprodict.onnxrt.ops_cpu.op_reduce_sum

Runtime operator.

source on GitHub

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 resulting tensor has the …

ReduceSum_13

ReduceSum ========= Computes the sum of the input tensor’s element along the provided axes. The resulting 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__

_run

_run

_run

_run

_run_no_checks_

_run_no_checks_

run

Calls method _run.

run

Calls method _run.

Documentation#

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_reduce_sum.ReduceSum#

alias of ReduceSum_13

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

Bases: OpRunReduceNumpy

__init__(onnx_node, desc=None, **options)#
_run(data, attributes=None, verbose=0, fLOG=None)#

Should be overwritten.

source on GitHub

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

Bases: ReduceSum_1

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

Bases: OpRunReduceNumpy

ReduceSum#

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

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

Attributes

  • keepdims: Keep the reduced dimension or not, default 1 means 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

__init__(onnx_node, desc=None, **options)#
_run(data, axes=None, attributes=None, verbose=0, fLOG=None)#

Should be overwritten.

source on GitHub

_run_no_checks_(x, axes=None, attributes=None, verbose=0, fLOG=None)#
run(data, axes=None, attributes=None, verbose=0, fLOG=None)#

Calls method _run.

source on GitHub