(l-onnx-doc-Constant)=

# Constant


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

## Constant - 23

### Version

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

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
or value_* must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

* **value_float - FLOAT** :

  The value for the sole element for the scalar, float32, output tensor.

* **value_floats - FLOATS** :

  The values for the elements for the 1D, float32, output tensor.

* **value_int - INT** :

  The value for the sole element for the scalar, int64, output tensor.

* **value_ints - INTS** :

  The values for the elements for the 1D, int64, output tensor.

* **value_string - STRING** :

  The value for the sole element for the scalar, UTF-8 string, output tensor.

* **value_strings - STRINGS** :

  The values for the elements for the 1D, UTF-8 string, output tensor.

### Outputs

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

  Output tensor containing the same value of the provided tensor.

### Type Constraints

* **T** in ( `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 types.

```{toctree}
text_diff_Constant_21_23
```

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

## Constant - 21

### Version

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

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
or value_* must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

* **value_float - FLOAT** :

  The value for the sole element for the scalar, float32, output tensor.

* **value_floats - FLOATS** :

  The values for the elements for the 1D, float32, output tensor.

* **value_int - INT** :

  The value for the sole element for the scalar, int64, output tensor.

* **value_ints - INTS** :

  The values for the elements for the 1D, int64, output tensor.

* **value_string - STRING** :

  The value for the sole element for the scalar, UTF-8 string, output tensor.

* **value_strings - STRINGS** :

  The values for the elements for the 1D, UTF-8 string, output tensor.

### Outputs

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

  Output tensor containing the same value of the provided tensor.

### Type Constraints

* **T** in ( `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 types.

```{toctree}
text_diff_Constant_19_23
text_diff_Constant_19_21
```

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

## Constant - 19

### Version

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

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
or value_* must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

* **value_float - FLOAT** :

  The value for the sole element for the scalar, float32, output tensor.

* **value_floats - FLOATS** :

  The values for the elements for the 1D, float32, output tensor.

* **value_int - INT** :

  The value for the sole element for the scalar, int64, output tensor.

* **value_ints - INTS** :

  The values for the elements for the 1D, int64, output tensor.

* **value_string - STRING** :

  The value for the sole element for the scalar, UTF-8 string, output tensor.

* **value_strings - STRINGS** :

  The values for the elements for the 1D, UTF-8 string, output tensor.

### Outputs

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

  Output tensor containing the same value of the provided tensor.

### Type Constraints

* **T** in ( `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 types.

```{toctree}
text_diff_Constant_13_23
text_diff_Constant_13_21
text_diff_Constant_13_19
```

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

## Constant - 13

### Version

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

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
or value_* must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

* **value_float - FLOAT** :

  The value for the sole element for the scalar, float32, output tensor.

* **value_floats - FLOATS** :

  The values for the elements for the 1D, float32, output tensor.

* **value_int - INT** :

  The value for the sole element for the scalar, int64, output tensor.

* **value_ints - INTS** :

  The values for the elements for the 1D, int64, output tensor.

* **value_string - STRING** :

  The value for the sole element for the scalar, UTF-8 string, output tensor.

* **value_strings - STRINGS** :

  The values for the elements for the 1D, UTF-8 string, output tensor.

### Outputs

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

  Output tensor containing the same value of the provided 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 input and output types to all tensor types.

```{toctree}
text_diff_Constant_12_23
text_diff_Constant_12_21
text_diff_Constant_12_19
text_diff_Constant_12_13
```

(l-onnx-op-constant-12)=

## Constant - 12

### Version

- **name**: [Constant (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Constant)
- **domain**: `main`
- **since_version**: `12`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 12**.

### Summary

This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value,
or value_* must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

* **value_float - FLOAT** :

  The value for the sole element for the scalar, float32, output tensor.

* **value_floats - FLOATS** :

  The values for the elements for the 1D, float32, output tensor.

* **value_int - INT** :

  The value for the sole element for the scalar, int64, output tensor.

* **value_ints - INTS** :

  The values for the elements for the 1D, int64, output tensor.

* **value_string - STRING** :

  The value for the sole element for the scalar, UTF-8 string, output tensor.

* **value_strings - STRINGS** :

  The values for the elements for the 1D, UTF-8 string, output tensor.

### Outputs

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

  Output tensor containing the same value of the provided 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 input and output types to all tensor types.

```{toctree}
text_diff_Constant_11_23
text_diff_Constant_11_21
text_diff_Constant_11_19
text_diff_Constant_11_13
text_diff_Constant_11_12
```

(l-onnx-op-constant-11)=

## Constant - 11

### Version

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

A constant tensor. Exactly one of the two attributes, either value or sparse_value,
must be specified.

### Attributes

* **sparse_value - SPARSE_TENSOR** :

  The value for the elements of the output tensor in sparse format.

* **value - TENSOR** :

  The value for the elements of the output tensor.

### Outputs

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

  Output tensor containing the same value of the provided 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 input and output types to all tensor types.

```{toctree}
text_diff_Constant_9_23
text_diff_Constant_9_21
text_diff_Constant_9_19
text_diff_Constant_9_13
text_diff_Constant_9_12
text_diff_Constant_9_11
```

(l-onnx-op-constant-9)=

## Constant - 9

### Version

- **name**: [Constant (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#Constant)
- **domain**: `main`
- **since_version**: `9`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 9**.

### Summary

A constant tensor.

### Attributes

* **value - TENSOR** (required) :

  The value for the elements of the output tensor.

### Outputs

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

  Output tensor containing the same value of the provided 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 input and output types to all tensor types.

```{toctree}
text_diff_Constant_1_23
text_diff_Constant_1_21
text_diff_Constant_1_19
text_diff_Constant_1_13
text_diff_Constant_1_12
text_diff_Constant_1_11
text_diff_Constant_1_9
```

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

## Constant - 1

### Version

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

A constant tensor.

### Attributes

* **value - TENSOR** (required) :

  The value for the elements of the output tensor.

### Outputs

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

  Output tensor containing the same value of the provided tensor.

### Type Constraints

* **T** in ( `tensor(double)`, `tensor(float)`, `tensor(float16)` ):

  Constrain input and output types to float tensors.