module onnxrt.ops_cpu.op_transpose#

Inheritance diagram of mlprodict.onnxrt.ops_cpu.op_transpose

Short summary#

module mlprodict.onnxrt.ops_cpu.op_transpose

Runtime operator.

source on GitHub

Classes#

class

truncated documentation

Transpose

Transpose ========= Transpose the input tensor similar to numpy.transpose. For example, when perm=(1, 0, 2), given an …

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

to_python

Returns a python code equivalent to this operator.

Documentation#

Runtime operator.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_transpose.Transpose(onnx_node, desc=None, **options)#

Bases: OpRunUnaryNum

Transpose the input tensor similar to numpy.transpose. For example, when perm=(1, 0, 2), given an input tensor of shape (1, 2, 3), the output shape will be (2, 1, 3).

Attributes

  • perm: A list of integers. By default, reverse the dimensions, otherwise permute the axes according to the values given. default value cannot be automatically retrieved (INTS)

Inputs

  • data (heterogeneous)T: An input tensor.

Outputs

  • transposed (heterogeneous)T: Transposed output.

Type Constraints

  • T tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(bfloat16), tensor(float16), tensor(float), tensor(double), tensor(string), tensor(bool), tensor(complex64), tensor(complex128): Constrain input and output types to all tensor types.

Version

Onnx name: Transpose

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

Runtime implementation: Transpose

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

Should be overwritten.

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