SpaceToDepth#
SpaceToDepth - 13#
Version
name: SpaceToDepth (GitHub)
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 (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.
Examples
example
node = onnx.helper.make_node(
'SpaceToDepth',
inputs=['x'],
outputs=['y'],
blocksize=2,
)
# (1, 1, 4, 6) input tensor
x = np.array([[[[0, 6, 1, 7, 2, 8],
[12, 18, 13, 19, 14, 20],
[3, 9, 4, 10, 5, 11],
[15, 21, 16, 22, 17, 23]]]]).astype(np.float32)
# (1, 4, 2, 3) output tensor
y = np.array([[[[0, 1, 2],
[3, 4, 5]],
[[6, 7, 8],
[9, 10, 11]],
[[12, 13, 14],
[15, 16, 17]],
[[18, 19, 20],
[21, 22, 23]]]]).astype(np.float32)
expect(node, inputs=[x], outputs=[y],
name='test_spacetodepth_example')
Differences
0 | 0 | SpaceToDepth rearranges blocks of spatial data into depth. More specifically, | SpaceToDepth rearranges blocks of spatial data into depth. More specifically, |
1 | 1 | this op outputs a copy of the input tensor where values from the height and width dimensions | this op outputs a copy of the input tensor where values from the height and width dimensions |
2 | 2 | are moved to the depth dimension. | are moved to the depth dimension. |
3 | 3 | | |
4 | 4 | **Attributes** | **Attributes** |
5 | 5 | | |
6 | 6 | * **blocksize** (required): | * **blocksize** (required): |
7 | 7 | Blocks of [blocksize, blocksize] are moved. | Blocks of [blocksize, blocksize] are moved. |
8 | 8 | | |
9 | 9 | **Inputs** | **Inputs** |
10 | 10 | | |
11 | 11 | * **input** (heterogeneous) - **T**: | * **input** (heterogeneous) - **T**: |
12 | 12 | Input tensor of [N,C,H,W], where N is the batch axis, C is the | Input tensor of [N,C,H,W], where N is the batch axis, C is the |
13 | 13 | channel or depth, H is the height and W is the width. | channel or depth, H is the height and W is the width. |
14 | 14 | | |
15 | 15 | **Outputs** | **Outputs** |
16 | 16 | | |
17 | 17 | * **output** (heterogeneous) - **T**: | * **output** (heterogeneous) - **T**: |
18 | 18 | Output tensor of [N, C * blocksize * blocksize, H/blocksize, | Output tensor of [N, C * blocksize * blocksize, H/blocksize, |
19 | 19 | W/blocksize]. | W/blocksize]. |
20 | 20 | | |
21 | 21 | **Type Constraints** | **Type Constraints** |
22 | 22 | | |
23 | 23 | * **T** in ( | * **T** in ( |
24 | tensor(bfloat16), | ||
24 | 25 | tensor(bool), | tensor(bool), |
25 | 26 | tensor(complex128), | tensor(complex128), |
26 | 27 | tensor(complex64), | tensor(complex64), |
27 | 28 | tensor(double), | tensor(double), |
28 | 29 | tensor(float), | tensor(float), |
29 | 30 | tensor(float16), | tensor(float16), |
30 | 31 | tensor(int16), | tensor(int16), |
31 | 32 | tensor(int32), | tensor(int32), |
32 | 33 | tensor(int64), | tensor(int64), |
33 | 34 | tensor(int8), | tensor(int8), |
34 | 35 | tensor(string), | tensor(string), |
35 | 36 | tensor(uint16), | tensor(uint16), |
36 | 37 | tensor(uint32), | tensor(uint32), |
37 | 38 | tensor(uint64), | tensor(uint64), |
38 | 39 | tensor(uint8) | tensor(uint8) |
39 | 40 | ): | ): |
40 | 41 | Constrain input and output types to all tensor types. | Constrain input and output types to all tensor types. |
SpaceToDepth - 1#
Version
name: SpaceToDepth (GitHub)
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 (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.