.. _op_ai_onnx_ConcatFromSequence:

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

- **Domain**: ``ai.onnx``
- **Since version**: 11

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.

**Inputs**

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

**Outputs**

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

**Type Constraints**

- **S**: Constrain input types to any tensor type.
  Allowed types: 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)).
- **T**: Constrain output types to any tensor type.
  Allowed types: 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).