module onnxrt.ops_cpu.op_constant

Short summary

module mlprodict.onnxrt.ops_cpu.op_constant

Runtime operator.

source on GitHub

Classes

class	truncated documentation
Constant_11
Constant_12	Constant ======== This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, …
Constant_12	Constant ======== This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, …
Constant_9

Functions

function	truncated documentation
_check_dtype

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	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_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_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.
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.
atts_value	Returns all parameters in a dictionary.

Methods

method	truncated documentation
__init__
__init__
__init__
__init__
_run
_run
_run
_run

Documentation

Runtime operator.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_constant.Constant

alias of Constant_12

class mlprodict.onnxrt.ops_cpu.op_constant.Constant_11(onnx_node, desc=None, **options)

Bases: OpRun

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

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

Should be overwritten.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_constant.Constant_12(onnx_node, desc=None, **options)

Bases: OpRun

Constant

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value_* must be specified.

Attributes

• sparse_value: The value for the elements of the output tensor in sparse format. default value cannot be automatically retrieved (SPARSE_TENSOR)

• value: The value for the elements of the output tensor. default value cannot be automatically retrieved (TENSOR)

• value_float: The value for the sole element for the scalar, float32, output tensor. default value cannot be automatically retrieved (FLOAT)

• value_floats: The values for the elements for the 1D, float32, output tensor. default value cannot be automatically retrieved (FLOATS)

• value_int: The value for the sole element for the scalar, int64, output tensor. default value cannot be automatically retrieved (INT)

• value_ints: The values for the elements for the 1D, int64, output tensor. default value cannot be automatically retrieved (INTS)

• value_string: The value for the sole element for the scalar, UTF-8 string, output tensor. default value cannot be automatically retrieved (STRING)

• value_strings: The values for the elements for the 1D, UTF-8 string, output tensor. default value cannot be automatically retrieved (STRINGS)

Outputs

• output (heterogeneous)T: Output tensor containing the same value of the provided tensor.

Type Constraints

• T tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(int8), tensor(int16), tensor(int32), tensor(int64), 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: Constant

This version of the operator has been available since version 12.

Runtime implementation: Constant

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

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

Should be overwritten.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_constant.Constant_9(onnx_node, desc=None, **options)

Bases: OpRun

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

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

Should be overwritten.

source on GitHub

mlprodict.onnxrt.ops_cpu.op_constant._check_dtype(val)