Concat#

Concat - 13#

Version#

  • name: Concat (GitHub)

  • domain: main

  • since_version: 13

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 13.

Summary#

Concatenate a list 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.

Attributes#

  • axis - INT (required) :

    Which axis to concat on. A negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(inputs)…

Inputs#

Between 1 and 2147483647 inputs.

  • inputs (variadic, heterogeneous) - T:

    List of tensors for concatenation

Outputs#

  • concat_result (heterogeneous) - T:

    Concatenated tensor

Type Constraints#

  • T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain output types to any tensor type.

Concat - 11#

Version#

  • name: Concat (GitHub)

  • domain: main

  • since_version: 11

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

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

Summary#

Concatenate a list 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.

Attributes#

  • axis - INT (required) :

    Which axis to concat on. A negative value means counting dimensions from the back. Accepted range is [-r, r-1] where r = rank(inputs)…

Inputs#

Between 1 and 2147483647 inputs.

  • inputs (variadic, heterogeneous) - T:

    List of tensors for concatenation

Outputs#

  • concat_result (heterogeneous) - T:

    Concatenated tensor

Type Constraints#

  • T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain output types to any tensor type.

Concat - 4#

Version#

  • name: Concat (GitHub)

  • domain: main

  • since_version: 4

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 4.

Summary#

Concatenate a list of tensors into a single tensor

Attributes#

  • axis - INT (required) :

    Which axis to concat on

Inputs#

Between 1 and 2147483647 inputs.

  • inputs (variadic, heterogeneous) - T:

    List of tensors for concatenation

Outputs#

  • concat_result (heterogeneous) - T:

    Concatenated tensor

Type Constraints#

  • T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):

    Constrain output types to any tensor type.

Concat - 1#

Version#

  • name: Concat (GitHub)

  • domain: main

  • since_version: 1

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: False

This version of the operator has been available since version 1.

Summary#

Concatenate a list of tensors into a single tensor

Attributes#

  • axis - INT :

    Which axis to concat on. Default value is 1.

Inputs#

Between 1 and 2147483647 inputs.

  • inputs (variadic, heterogeneous) - T:

    List of tensors for concatenation

Outputs#

  • concat_result (heterogeneous) - T:

    Concatenated tensor

Type Constraints#

  • T in ( tensor(double), tensor(float), tensor(float16) ):

    Constrain output types to float tensors.