module onnxrt.ops_cpu.op_sequence_empty

Short summary

module mlprodict.onnxrt.ops_cpu.op_sequence_empty

Runtime operator.

Classes

class	truncated documentation
SequenceEmpty	SequenceEmpty ============= Construct an empty tensor sequence, with given data type. Attributes

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

Documentation

Runtime operator.

New in version 0.9.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_sequence_empty.SequenceEmpty(onnx_node, desc=None, **options)

Bases: OpRun

---

Construct an empty tensor sequence, with given data type.

Attributes

• dtype: (Optional) The data type of the tensors in the output sequence. The default type is ‘float’. default value cannot be automatically retrieved (INT)

Outputs

• output (heterogeneous)S: Empty sequence.

Type Constraints

• S seq(tensor(uint8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(int8)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(float16)), seq(tensor(float)), seq(tensor(double)), seq(tensor(string)), seq(tensor(bool)), seq(tensor(complex64)), seq(tensor(complex128)): Constrain output types to any tensor type.

Version

Onnx name: SequenceEmpty

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

Runtime implementation: SequenceEmpty

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

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

Should be overwritten.

source on GitHub