module onnxrt.ops_cpu.op_leaky_relu

Short summary

module mlprodict.onnxrt.ops_cpu.op_leaky_relu

Runtime operator.

source on GitHub

Classes

class	truncated documentation
LeakyRelu	LeakyRelu ========= LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one output data (Tensor<T>) …

Functions

function	truncated documentation
_leaky_relu
_leaky_relu_inplace

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_leaky_relu.LeakyRelu(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

---

LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one output data (Tensor<T>) where the function f(x) = alpha * x for x < 0, f(x) = x for x >= 0, is applied to the data tensor elementwise.

History - Version 16 adds bfloat16 to the types allowed.

Attributes

• alpha: Coefficient of leakage. Default value is namealphaf0.009999999776482582typeFLOAT (FLOAT)

Inputs

• X (heterogeneous)T: Input tensor

Outputs

• Y (heterogeneous)T: Output tensor

Type Constraints

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

Version

Onnx name: LeakyRelu

This version of the operator has been available since version 16.

Runtime implementation: LeakyRelu

__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

mlprodict.onnxrt.ops_cpu.op_leaky_relu._leaky_relu(x, alpha)

mlprodict.onnxrt.ops_cpu.op_leaky_relu._leaky_relu_inplace(x, alpha)