module onnxrt.ops_cpu.op_softplus

Short summary

module mlprodict.onnxrt.ops_cpu.op_softplus

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Softplus	Softplus ======== Softplus takes one input data (Tensor<T>) and produces one output data (Tensor<T>) where the softplus …

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_softplus.Softplus(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

---

Softplus takes one input data (Tensor<T>) and produces one output data (Tensor<T>) where the softplus function, y = ln(exp(x) + 1), is applied to the tensor elementwise.

Inputs

• X (heterogeneous)T: 1D input tensor

Outputs

• Y (heterogeneous)T: 1D input tensor

Type Constraints

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

Version

Onnx name: Softplus

This version of the operator has been available since version 1.

Runtime implementation: Softplus

__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