module onnxrt.ops_cpu.op_reduce_min

Short summary

module mlprodict.onnxrt.ops_cpu.op_reduce_min

Runtime operator.

source on GitHub

Classes

class	truncated documentation
ReduceMin_1
ReduceMin_18	ReduceMin ========= Computes the min of the input tensor’s element along the provided axes. The resulting tensor has the …
ReduceMin_18	ReduceMin ========= Computes the min 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_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_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.

Methods

method	truncated documentation
__init__
__init__
__init__
_run
_run
_run

Documentation

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_reduce_min.ReduceMin

alias of ReduceMin_18

class mlprodict.onnxrt.ops_cpu.op_reduce_min.ReduceMin_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_min.ReduceMin_18(onnx_node, desc=None, **options)

Bases: OpRun

ReduceMin

Computes the min 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 behavior if ‘axes’ is empty. Default behavior 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), tensor(uint8), tensor(int8): Constrain input and output types to high-precision and 8 bit numeric tensors.

Version

Onnx name: ReduceMin

This version of the operator has been available since version 18.

Runtime implementation: ReduceMin

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

_run(data, axes=None, attributes=None, verbose=0, fLOG=None)

Should be overwritten.

source on GitHub