module onnxrt.ops_cpu.op_log_softmax#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_log_softmax

Short summary#

module mlprodict.onnxrt.ops_cpu.op_log_softmax

Runtime operator.

source on GitHub

Classes#

class

truncated documentation

LogSoftmax

LogSoftmax ========== The operator computes the log of softmax values for the given input: LogSoftmax(input, axis) = …

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_modified

Returns the list of modified parameters.

args_mandatory

Returns the list of optional arguments.

args_optional

Returns the list of optional arguments.

atts_value

Returns all parameters in a dictionary.

Methods#

method

truncated documentation

__init__

_run

_run_inplace

to_python

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_log_softmax.LogSoftmax(onnx_node, desc=None, **options)#

Bases: Softmax_13

The operator computes the log of softmax values for the given input:

LogSoftmax(input, axis) = Log(Softmax(input, axis=axis))

The “axis” attribute indicates the dimension along which LogSoftmax will be performed. The output tensor has the same shape and contains the LogSoftmax values of the corresponding input.

Attributes

  • axis:

Describes the dimension LogSoftmax will be performed on. Negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(input).

Default value is nameaxisi-1typeINT (INT)

Inputs

  • input (heterogeneous)T: The input tensor of rank >= axis.

Outputs

  • output (heterogeneous)T: The output values with the same shape as the input tensor.

Type Constraints

  • T tensor(float16), tensor(float), tensor(double), tensor(bfloat16): Constrain input and output types to float tensors.

Version

Onnx name: LogSoftmax

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

Runtime implementation: LogSoftmax

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

Should be overwritten.

source on GitHub

_run_inplace(X)#
to_python(inputs)#

Returns a python code equivalent to this operator.

Parameters:

inputs – inputs name

Returns:

imports, python code, both as strings

source on GitHub