(l-onnx-doc-ConstantOfShape)=

# ConstantOfShape


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

## ConstantOfShape - 23

### Version

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

Generate a tensor with given value and shape.

### Attributes

* **value - TENSOR** :

  (Optional) The value of the output elements.Should be a one-element tensor. If not specified, it defaults to a tensor of value 0 and datatype float32

### Inputs

- **input** (heterogeneous) - **T1**:

  1D tensor. The shape of the expected output tensor. If empty tensor is given, the output would be a scalar. All values must be >= 0.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor of shape specified by 'input'.If attribute 'value' is specified, the value and datatype of the output tensor is taken from 'value'.If attribute 'value' is not specified, the value in the output defaults to 0, and the datatype defaults to float32.

### Type Constraints

* **T1** in ( `tensor(int64)` ):

  Constrain input types.
* **T2** in ( `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(uint16)`, `tensor(uint32)`, `tensor(uint4)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain output types to be numerics or boolean.

```{toctree}
text_diff_ConstantOfShape_21_23
```

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

## ConstantOfShape - 21

### Version

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

Generate a tensor with given value and shape.

### Attributes

* **value - TENSOR** :

  (Optional) The value of the output elements.Should be a one-element tensor. If not specified, it defaults to a tensor of value 0 and datatype float32

### Inputs

- **input** (heterogeneous) - **T1**:

  1D tensor. The shape of the expected output tensor. If empty tensor is given, the output would be a scalar. All values must be >= 0.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor of shape specified by 'input'.If attribute 'value' is specified, the value and datatype of the output tensor is taken from 'value'.If attribute 'value' is not specified, the value in the output defaults to 0, and the datatype defaults to float32.

### Type Constraints

* **T1** in ( `tensor(int64)` ):

  Constrain input types.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `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(uint16)`, `tensor(uint32)`, `tensor(uint4)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain output types to be numerics or boolean.

```{toctree}
text_diff_ConstantOfShape_20_23
text_diff_ConstantOfShape_20_21
```

(l-onnx-op-constantofshape-20)=

## ConstantOfShape - 20

### Version

- **name**: [ConstantOfShape (GitHub)](https://github.com/onnx/onnx/blob/main/docs/Operators.md#ConstantOfShape)
- **domain**: `main`
- **since_version**: `20`
- **function**: `False`
- **support_level**: `SupportType.COMMON`
- **shape inference**: `True`

This version of the operator has been available
**since version 20**.

### Summary

Generate a tensor with given value and shape.

### Attributes

* **value - TENSOR** :

  (Optional) The value of the output elements.Should be a one-element tensor. If not specified, it defaults to a tensor of value 0 and datatype float32

### Inputs

- **input** (heterogeneous) - **T1**:

  1D tensor. The shape of the expected output tensor. If empty tensor is given, the output would be a scalar. All values must be >= 0.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor of shape specified by 'input'.If attribute 'value' is specified, the value and datatype of the output tensor is taken from 'value'.If attribute 'value' is not specified, the value in the output defaults to 0, and the datatype defaults to float32.

### Type Constraints

* **T1** in ( `tensor(int64)` ):

  Constrain input types.
* **T2** in ( `tensor(bfloat16)`, `tensor(bool)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(float8e4m3fn)`, `tensor(float8e4m3fnuz)`, `tensor(float8e5m2)`, `tensor(float8e5m2fnuz)`, `tensor(int16)`, `tensor(int32)`, `tensor(int64)`, `tensor(int8)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain output types to be numerics.

```{toctree}
text_diff_ConstantOfShape_9_23
text_diff_ConstantOfShape_9_21
text_diff_ConstantOfShape_9_20
```

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

## ConstantOfShape - 9

### Version

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

Generate a tensor with given value and shape.

### Attributes

* **value - TENSOR** :

  (Optional) The value of the output elements.Should be a one-element tensor. If not specified, it defaults to a tensor of value 0 and datatype float32

### Inputs

- **input** (heterogeneous) - **T1**:

  1D tensor. The shape of the expected output tensor. If empty tensor is given, the output would be a scalar. All values must be >= 0.

### Outputs

- **output** (heterogeneous) - **T2**:

  Output tensor of shape specified by 'input'.If attribute 'value' is specified, the value and datatype of the output tensor is taken from 'value'.If attribute 'value' is not specified, the value in the output defaults to 0, and the datatype defaults to float32.

### Type Constraints

* **T1** in ( `tensor(int64)` ):

  Constrain input types.
* **T2** in ( `tensor(bool)`, `tensor(double)`, `tensor(float)`, `tensor(float16)`, `tensor(int16)`, `tensor(int32)`, `tensor(int64)`, `tensor(int8)`, `tensor(uint16)`, `tensor(uint32)`, `tensor(uint64)`, `tensor(uint8)` ):

  Constrain output types to be numerics.