module onnxrt.ops_cpu.op_clip

Short summary

module mlprodict.onnxrt.ops_cpu.op_clip

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Clip_11	Clip ==== Clip operator limits the given input within an interval. The interval is specified by the inputs ‘min’ and ‘max’. …
Clip_11	Clip ==== Clip operator limits the given input within an interval. The interval is specified by the inputs ‘min’ and ‘max’. …
Clip_6

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
_run_inplace
_run_inplace
_run_inplace
run	Calls method _run.
run	Calls method _run.
to_python
to_python
to_python

Documentation

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_clip.Clip

alias of Clip_11

class mlprodict.onnxrt.ops_cpu.op_clip.Clip_11(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

Clip

Clip operator limits the given input within an interval. The interval is specified by the inputs ‘min’ and ‘max’. They default to numeric_limits::lowest() and numeric_limits::max(), respectively.

Inputs

Between 1 and 3 inputs.

• input (heterogeneous)T: Input tensor whose elements to be clipped

• min (optional, heterogeneous)T: Minimum value, under which element is replaced by min. It must be a scalar(tensor of empty shape).

• max (optional, heterogeneous)T: Maximum value, above which element is replaced by max. It must be a scalar(tensor of empty shape).

Outputs

• output (heterogeneous)T: Output tensor with clipped input elements

Type Constraints

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

Version

Onnx name: Clip

This version of the operator has been available since version 11.

Runtime implementation: Clip

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

_run(data, *minmax, attributes=None, verbose=0, fLOG=None)

Should be overwritten.

source on GitHub

_run_inplace(data, *minmax)

run(x, *minmax, attributes=None, verbose=0, fLOG=None)

Calls method _run.

source on GitHub

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

class mlprodict.onnxrt.ops_cpu.op_clip.Clip_6(onnx_node, desc=None, **options)

Bases: OpRunUnaryNum

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

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

Should be overwritten.

source on GitHub

_run_inplace(data)

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