(l-onnx-doc-Identity)=

# Identity


(l-onnx-op-identity-23)=

## Identity - 23

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `23`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 23**.

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **V**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **V**:

  Tensor to copy input into.

### Type Constraints

* **V** in ( `optional(seq(tensor(bool)))`, `optional(seq(tensor(complex128)))`, `optional(seq(tensor(complex64)))`, `optional(seq(tensor(double)))`, `optional(seq(tensor(float)))`, `optional(seq(tensor(float16)))`, `optional(seq(tensor(int16)))`, `optional(seq(tensor(int32)))`, `optional(seq(tensor(int64)))`, `optional(seq(tensor(int8)))`, `optional(seq(tensor(string)))`, `optional(seq(tensor(uint16)))`, `optional(seq(tensor(uint32)))`, `optional(seq(tensor(uint64)))`, `optional(seq(tensor(uint8)))`, `optional(tensor(bool))`, `optional(tensor(complex128))`, `optional(tensor(complex64))`, `optional(tensor(double))`, `optional(tensor(float))`, `optional(tensor(float16))`, `optional(tensor(int16))`, `optional(tensor(int32))`, `optional(tensor(int64))`, `optional(tensor(int8))`, `optional(tensor(string))`, `optional(tensor(uint16))`, `optional(tensor(uint32))`, `optional(tensor(uint64))`, `optional(tensor(uint8))`, `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))`, `tensor(bfloat16)`, `tensor(bool)`, `tensor(complex128)`, `tensor(complex64)`, `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)` ):

  Constrain input and output types to all tensor, sequence, and optional types.

```{toctree}
text_diff_Identity_21_23
```

(l-onnx-op-identity-21)=

## Identity - 21

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `21`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 21**.

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **V**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **V**:

  Tensor to copy input into.

### Type Constraints

* **V** in ( `optional(seq(tensor(bool)))`, `optional(seq(tensor(complex128)))`, `optional(seq(tensor(complex64)))`, `optional(seq(tensor(double)))`, `optional(seq(tensor(float)))`, `optional(seq(tensor(float16)))`, `optional(seq(tensor(int16)))`, `optional(seq(tensor(int32)))`, `optional(seq(tensor(int64)))`, `optional(seq(tensor(int8)))`, `optional(seq(tensor(string)))`, `optional(seq(tensor(uint16)))`, `optional(seq(tensor(uint32)))`, `optional(seq(tensor(uint64)))`, `optional(seq(tensor(uint8)))`, `optional(tensor(bool))`, `optional(tensor(complex128))`, `optional(tensor(complex64))`, `optional(tensor(double))`, `optional(tensor(float))`, `optional(tensor(float16))`, `optional(tensor(int16))`, `optional(tensor(int32))`, `optional(tensor(int64))`, `optional(tensor(int8))`, `optional(tensor(string))`, `optional(tensor(uint16))`, `optional(tensor(uint32))`, `optional(tensor(uint64))`, `optional(tensor(uint8))`, `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))`, `tensor(bfloat16)`, `tensor(bool)`, `tensor(complex128)`, `tensor(complex64)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `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)` ):

  Constrain input and output types to all tensor, sequence, and optional types.

```{toctree}
text_diff_Identity_19_23
text_diff_Identity_19_21
```

(l-onnx-op-identity-19)=

## Identity - 19

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `19`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 19**.

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **V**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **V**:

  Tensor to copy input into.

### Type Constraints

* **V** in ( `optional(seq(tensor(bool)))`, `optional(seq(tensor(complex128)))`, `optional(seq(tensor(complex64)))`, `optional(seq(tensor(double)))`, `optional(seq(tensor(float)))`, `optional(seq(tensor(float16)))`, `optional(seq(tensor(int16)))`, `optional(seq(tensor(int32)))`, `optional(seq(tensor(int64)))`, `optional(seq(tensor(int8)))`, `optional(seq(tensor(string)))`, `optional(seq(tensor(uint16)))`, `optional(seq(tensor(uint32)))`, `optional(seq(tensor(uint64)))`, `optional(seq(tensor(uint8)))`, `optional(tensor(bool))`, `optional(tensor(complex128))`, `optional(tensor(complex64))`, `optional(tensor(double))`, `optional(tensor(float))`, `optional(tensor(float16))`, `optional(tensor(int16))`, `optional(tensor(int32))`, `optional(tensor(int64))`, `optional(tensor(int8))`, `optional(tensor(string))`, `optional(tensor(uint16))`, `optional(tensor(uint32))`, `optional(tensor(uint64))`, `optional(tensor(uint8))`, `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))`, `tensor(bfloat16)`, `tensor(bool)`, `tensor(complex128)`, `tensor(complex64)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(float8e4m3fn)`, `tensor(float8e4m3fnuz)`, `tensor(float8e5m2)`, `tensor(float8e5m2fnuz)`, `tensor(int16)`, `tensor(int32)`, `tensor(int64)`, `tensor(int8)`, `tensor(string)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain input and output types to all tensor, sequence, and optional types.

```{toctree}
text_diff_Identity_16_23
text_diff_Identity_16_21
text_diff_Identity_16_19
```

(l-onnx-op-identity-16)=

## Identity - 16

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `16`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 16**.

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **V**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **V**:

  Tensor to copy input into.

### Type Constraints

* **V** in ( `optional(seq(tensor(bool)))`, `optional(seq(tensor(complex128)))`, `optional(seq(tensor(complex64)))`, `optional(seq(tensor(double)))`, `optional(seq(tensor(float)))`, `optional(seq(tensor(float16)))`, `optional(seq(tensor(int16)))`, `optional(seq(tensor(int32)))`, `optional(seq(tensor(int64)))`, `optional(seq(tensor(int8)))`, `optional(seq(tensor(string)))`, `optional(seq(tensor(uint16)))`, `optional(seq(tensor(uint32)))`, `optional(seq(tensor(uint64)))`, `optional(seq(tensor(uint8)))`, `optional(tensor(bool))`, `optional(tensor(complex128))`, `optional(tensor(complex64))`, `optional(tensor(double))`, `optional(tensor(float))`, `optional(tensor(float16))`, `optional(tensor(int16))`, `optional(tensor(int32))`, `optional(tensor(int64))`, `optional(tensor(int8))`, `optional(tensor(string))`, `optional(tensor(uint16))`, `optional(tensor(uint32))`, `optional(tensor(uint64))`, `optional(tensor(uint8))`, `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))`, `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 input and output types to all tensor, sequence, and optional types.

```{toctree}
text_diff_Identity_14_23
text_diff_Identity_14_21
text_diff_Identity_14_19
text_diff_Identity_14_16
```

(l-onnx-op-identity-14)=

## Identity - 14

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `14`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 14**.

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **V**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **V**:

  Tensor to copy input into.

### Type Constraints

* **V** 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))`, `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 input and output types to all tensor and sequence types.

```{toctree}
text_diff_Identity_13_23
text_diff_Identity_13_21
text_diff_Identity_13_19
text_diff_Identity_13_16
text_diff_Identity_13_14
```

(l-onnx-op-identity-13)=

## Identity - 13

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **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

Identity operator

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  Tensor to copy input into.

### 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 input and output types to all tensor types.

```{toctree}
text_diff_Identity_1_23
text_diff_Identity_1_21
text_diff_Identity_1_19
text_diff_Identity_1_16
text_diff_Identity_1_14
text_diff_Identity_1_13
```

(l-onnx-op-identity-1)=

## Identity - 1

### Version

- **name**: [Identity (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Identity)
- **domain**: `main`
- **since_version**: `1`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

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

### Summary

Identity operator

### Inputs

- **input** (heterogeneous) - **T**:

  Input tensor

### Outputs

- **output** (heterogeneous) - **T**:

  Tensor to copy input into.

### 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 input and output types to all tensor types.