module `onnxrt.ops_cpu.op_concat_from_sequence`#

Short summary#

module mlprodict.onnxrt.ops_cpu.op_concat_from_sequence

Runtime operator.

Classes#

class	truncated documentation
`ConcatFromSequence`	ConcatFromSequence ================== Concatenate a sequence of tensors into a single tensor. All input tensors must have …

Functions#

function	truncated documentation
`_concat_from_sequence`

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.

source on GitHub

class mlprodict.onnxrt.ops_cpu.op_concat_from_sequence.ConcatFromSequence(onnx_node, desc=None, **options)#

Bases: OpRun

Concatenate a sequence of tensors into a single tensor. All input tensors must have the same shape, except for the dimension size of the axis to concatenate on. By default ‘new_axis’ is 0, the behavior is similar to numpy.concatenate. When ‘new_axis’ is 1, the behavior is similar to numpy.stack.

Attributes

axis (required): Which axis to concat on. Accepted range in [-r, r - 1], where r is the rank of input tensors. When new_axis is 1, accepted range is [-r - 1, r]. default value cannot be automatically retrieved (INT)
new_axis: Insert and concatenate on a new axis or not, default 0 means do not insert new axis. Default value is namenewaxisi0typeINT (INT)

Inputs

input_sequence (heterogeneous)S: Sequence of tensors for concatenation

Outputs

concat_result (heterogeneous)T: Concatenated tensor

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 input types 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 output types to any tensor type.

Version

Onnx name: ConcatFromSequence

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

Runtime implementation: ConcatFromSequence

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

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

Should be overwritten.