module onnxrt.ops_cpu.op_sequence_empty#

Inheritance diagram of mlprodict.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