module onnxrt.ops_cpu.op_sequence_at
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Short summary#
module mlprodict.onnxrt.ops_cpu.op_sequence_at
Runtime operator.
Classes#
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SequenceAt ========== Outputs a tensor copy from the tensor at ‘position’ in ‘input_sequence’. Accepted range for ‘position’ … |
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 0.8.
- class mlprodict.onnxrt.ops_cpu.op_sequence_at.SequenceAt(onnx_node, desc=None, **options)#
Bases:
OpRun
Outputs a tensor copy from the tensor at ‘position’ in ‘input_sequence’. Accepted range for ‘position’ is in [-n, n - 1], where n is the number of tensors in ‘input_sequence’. Negative value means counting positions from the back.
Inputs
input_sequence (heterogeneous)S: Input sequence.
position (heterogeneous)I: Position of the tensor in the sequence. Negative value means counting positions from the back. Accepted range in [-n, n - 1], where n is the number of tensors in ‘input_sequence’. It is an error if any of the index values are out of bounds. It must be a scalar(tensor of empty shape).
Outputs
tensor (heterogeneous)T: Output tensor at the specified position in the input 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 to any tensor type.
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 to any tensor type.
I tensor(int32), tensor(int64): Constrain position to integral tensor. It must be a scalar(tensor of empty shape).
Version
Onnx name: SequenceAt
This version of the operator has been available since version 11.
Runtime implementation:
SequenceAt
- __init__(onnx_node, desc=None, **options)#
- _run(seq, index, attributes=None, verbose=0, fLOG=None)#
Should be overwritten.