module `onnxrt.ops_cpu.op_constant_of_shape`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_constant_of_shape

Runtime operator.

class	truncated documentation
`ConstantOfShape`	ConstantOfShape =============== Generate a tensor with given value and shape. Attributes

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.

Runtime operator.

class mlprodict.onnxrt.ops_cpu.op_constant_of_shape.ConstantOfShape(onnx_node, desc=None, **options)#

Generate a tensor with given value and shape.

Attributes

value: (Optional) The value of the output elements.Should be a one-element tensor. If not specified, it defaults to a tensor of value 0 and datatype float32 default value cannot be automatically retrieved (TENSOR)

Inputs

input (heterogeneous)T1: 1D tensor. The shape of the expected output tensor. If empty tensor is given, the output would be a scalar. All values must be >= 0.

Outputs

output (heterogeneous)T2: Output tensor of shape specified by ‘input’.If attribute ‘value’ is specified, the value and datatype of the output tensor is taken from ‘value’.If attribute ‘value’ is not specified, the value in the output defaults to 0, and the datatype defaults to float32.

Type Constraints

T1 tensor(int64): Constrain input types.
T2 tensor(float16), tensor(float), tensor(double), tensor(int8), tensor(int16), tensor(int32), tensor(int64), tensor(uint8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(bool): Constrain output types to be numerics.

Version

Onnx name: ConstantOfShape

This version of the operator has been available since version 9.

Runtime implementation: ConstantOfShape

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

Should be overwritten.

to_python(inputs)#

Returns a python code equivalent to this operator.