(l-onnx-doc-SpaceToDepth)=

# SpaceToDepth


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

## SpaceToDepth - 13

### Version

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

SpaceToDepth rearranges blocks of spatial data into depth. More specifically,
this op outputs a copy of the input tensor where values from the height and width dimensions
are moved to the depth dimension.

### Attributes

* **blocksize - INT** (required) :

  Blocks of [blocksize, blocksize] are moved.

### Inputs

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

  Input tensor of [N,C,H,W], where N is the batch axis, C is the channel or depth, H is the height and W is the width.

### Outputs

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

  Output tensor of [N, C * blocksize * blocksize, H/blocksize, W/blocksize].

### 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_SpaceToDepth_1_13
```

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

## SpaceToDepth - 1

### Version

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

SpaceToDepth rearranges blocks of spatial data into depth. More specifically,
this op outputs a copy of the input tensor where values from the height and width dimensions
are moved to the depth dimension.

### Attributes

* **blocksize - INT** (required) :

  Blocks of [blocksize, blocksize] are moved.

### Inputs

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

  Input tensor of [N,C,H,W], where N is the batch axis, C is the channel or depth, H is the height and W is the width.

### Outputs

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

  Output tensor of [N, C * blocksize * blocksize, H/blocksize, W/blocksize].

### 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.