.. _l-onnx-doc-ConcatFromSequence:

==================
ConcatFromSequence
==================

.. contents::
    :local:


.. _l-onnx-op-concatfromsequence-11:

ConcatFromSequence - 11
=======================

**Version**

* **name**: `ConcatFromSequence (GitHub) <https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConcatFromSequence>`_
* **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 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]`.
* **new_axis**:
  Insert and concatenate on a new axis or not, default 0 means do not
  insert new axis. Default value is ``0``.

**Inputs**

* **input_sequence** (heterogeneous) - **S**:
  Sequence of tensors for concatenation

**Outputs**

* **concat_result** (heterogeneous) - **T**:
  Concatenated tensor

**Type Constraints**

* **S** in (
  seq(tensor(bool)),
  seq(tensor(complex128)),
  seq(tensor(complex64)),
  seq(tensor(double)),
  seq(tensor(float)),
  seq(tensor(float16)),
  seq(tensor(int16)),
  seq(tensor(int32)),
  seq(tensor(int64)),
  seq(tensor(int8)),
  seq(tensor(string)),
  seq(tensor(uint16)),
  seq(tensor(uint32)),
  seq(tensor(uint64)),
  seq(tensor(uint8))
  ):
  Constrain input types to any tensor type.
* **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.

**Examples**