module onnxrt.ops_cpu.op_sequence_construct
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Short summary#
module mlprodict.onnxrt.ops_cpu.op_sequence_construct
Runtime operator.
Classes#
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SequenceConstruct ================= Construct a tensor sequence containing ‘inputs’ tensors. All tensors in ‘inputs’ must … |
Properties#
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Returns the list of arguments as well as the list of parameters with the default values (close to the signature). … |
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Returns the list of modified parameters. |
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Returns the list of optional arguments. |
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Returns the list of optional arguments. |
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Returns all parameters in a dictionary. |
Methods#
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Documentation#
Runtime operator.
New in version 0.7.
- class mlprodict.onnxrt.ops_cpu.op_sequence_construct.SequenceConstruct(onnx_node, desc=None, **options)#
Bases:
OpRun
Construct a tensor sequence containing ‘inputs’ tensors. All tensors in ‘inputs’ must have the same data type.
Inputs
Between 1 and 2147483647 inputs.
inputs (variadic, heterogeneous)T: Tensors.
Outputs
output_sequence (heterogeneous)S: Sequence enclosing the input tensors.
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 types to any tensor type.
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: SequenceConstruct
This version of the operator has been available since version 11.
Runtime implementation:
SequenceConstruct
- __init__(onnx_node, desc=None, **options)#
- _run(*data, attributes=None, verbose=0, fLOG=None)#
Should be overwritten.