:nosearch:

.. _op_ai_onnx_CastLike-23:

CastLike - version 23
=====================

This page documents version **23** of operator **CastLike**. See :doc:`CastLike` for the latest version (since version 25).

- **Domain**: ``ai.onnx``
- **Since version**: 23

The operator casts the elements of a given input tensor (the first input) to
the same data type as the elements of the second input tensor.
See documentation of the Cast operator for further details.

**Inputs**

- **input** (*T1*): Input tensor to be cast.
- **target_type** (*T2*): The (first) input tensor will be cast to produce a tensor of the same type as this (second input) tensor.

**Outputs**

- **output** (*T2*): Output tensor produced by casting the first input tensor to have the same type as the second input tensor.

**Type Constraints**

- **T1**: Constrain input types. Casting from complex is not supported.
  Allowed types: tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8).
- **T2**: Constrain output types. Casting to complex is not supported.
  Allowed types: tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8).

Examples
--------

**test_cc_castlike_FLOAT16_to_FLOAT4E2M1**

.. code-block:: text

    Node:
      CastLike(input, target_type) -> (output)

.. code-block:: text

    Inputs:
      input: shape=(3, 5), dtype=float16
        [[ 4.80e-01,  2.50e-01,  1.05e+00, -3.50e+00, -8.00e+00],
         [ 9.00e+00,       inf,  1.19e-07,       nan,       inf],
         [      inf,      -inf, -4.00e+00,  1.00e-02, -0.00e+00]]
      target_type: shape=(1,), dtype=float4_e2m1fn
        [0]

    Outputs:
      output: shape=(3, 5), dtype=float4_e2m1fn
        [[0.5, 0, 1, -4, -6],
         [6, 6, 0, 0, 6],
         [6, -6, -4, 0, -0]]

**test_cc_castlike_FLOAT4E2M1_to_FLOAT**

.. code-block:: text

    Node:
      CastLike(input, target_type) -> (output)

.. code-block:: text

    Inputs:
      input: shape=(3, 5), dtype=float4_e2m1fn
        [[0.5, 0, 1, -4, -6],
         [6, 6, 0, 0, 6],
         [6, -6, -4, 0, -0]]
      target_type: shape=(1,), dtype=float32
        [0.]

    Outputs:
      output: shape=(3, 5), dtype=float32
        [[ 0.5,  0. ,  1. , -4. , -6. ],
         [ 6. ,  6. ,  0. ,  0. ,  6. ],
         [ 6. , -6. , -4. ,  0. , -0. ]]

**test_cc_castlike_FLOAT4E2M1_to_FLOAT16**

.. code-block:: text

    Node:
      CastLike(input, target_type) -> (output)

.. code-block:: text

    Inputs:
      input: shape=(3, 5), dtype=float4_e2m1fn
        [[0.5, 0, 1, -4, -6],
         [6, 6, 0, 0, 6],
         [6, -6, -4, 0, -0]]
      target_type: shape=(1,), dtype=float16
        [0.]

    Outputs:
      output: shape=(3, 5), dtype=float16
        [[ 0.5,  0. ,  1. , -4. , -6. ],
         [ 6. ,  6. ,  0. ,  0. ,  6. ],
         [ 6. , -6. , -4. ,  0. , -0. ]]

**test_cc_castlike_FLOAT_to_FLOAT4E2M1**

.. code-block:: text

    Node:
      CastLike(input, target_type) -> (output)

.. code-block:: text

    Inputs:
      input: shape=(3, 5), dtype=float32
        [[ 4.80e-01,  2.50e-01,  1.05e+00, -3.50e+00, -8.00e+00],
         [ 9.00e+00,  1.00e+06,  1.00e-07,       nan,       inf],
         [      inf,      -inf, -4.00e+00,  1.00e-02, -0.00e+00]]
      target_type: shape=(1,), dtype=float4_e2m1fn
        [0]

    Outputs:
      output: shape=(3, 5), dtype=float4_e2m1fn
        [[0.5, 0, 1, -4, -6],
         [6, 6, 0, 0, 6],
         [6, -6, -4, 0, -0]]

Differences with previous version (21)
--------------------------------------

**SchemaDiff**: ``CastLike`` (domain ``'ai.onnx'``)

* old version: 21
* new version: 23
* breaking: no

**Type constraints:**

* changed 'T1': added types: ['tensor(float4e2m1)']
* changed 'T2': added types: ['tensor(float4e2m1)']