ef45b5da8d
* Doc Migration from Gitlab (#1289) * doc migration * fix * Update FakeQuantize_1.md * Update performance_benchmarks.md * Updates graphs for FPGA * Update performance_benchmarks.md * Change DL Workbench structure (#1) * Changed DL Workbench structure * Fixed tags * fixes * Update ie_docs.xml * Update performance_benchmarks_faq.md * Fixes in DL Workbench layout * Fixes for CVS-31290 * [DL Workbench] Minor correction * Fix for CVS-30955 * Added nGraph deprecation notice as requested by Zoe * fix broken links in api doxy layouts * CVS-31131 fixes * Additional fixes * Fixed POT TOC * Update PAC_Configure.md PAC DCP 1.2.1 install guide. * Update inference_engine_intro.md * fix broken link * Update opset.md * fix * added opset4 to layout * added new opsets to layout, set labels for them * Update VisionAcceleratorFPGA_Configure.md Updated from 2020.3 to 2020.4 Co-authored-by: domi2000 <domi2000@users.noreply.github.com>
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1.7 KiB
ShuffleChannels
Versioned name: ShuffleChannels-1
Name: ShuffleChannels
Category: Data movement
Short description: ShuffleChannels permutes data in the channel dimension of the input tensor.
Attributes:
-
axis
- Description: axis specifies the index of a channel dimension.
- Range of values: an integer number in the range [-4, 3]
- Type:
int - Default value: 1
- Required: No
-
group
- Description: group specifies the number of groups to split the channel dimension into. This number must evenly divide the channel dimension size.
- Range of values: a positive integer
- Type:
int - Default value: 1
- Required: No
Inputs:
- 1: 4D input tensor of any supported data type. Required.
Outputs:
- 1: 4D input tensor with shape and element type as for the input tensor.
Mathematical Formulation
The operation is the equivalent with the following transformation of the input tensor x of shape [N, C, H, W]:
x' = reshape(x, [N, group, C / group, H * W])
x'' = transpose(x', [0, 2, 1, 3])
y = reshape(x'', [N, C, H, W])
where group is the layer parameter described above and the axis = 1.
Example
<layer ... type="ShuffleChannels" ...>
<data group="3" axis="1"/>
<input>
<port id="0">
<dim>5</dim>
<dim>12</dim>
<dim>200</dim>
<dim>400</dim>
</port>
</input>
<output>
<port id="1">
<dim>5</dim>
<dim>12</dim>
<dim>200</dim>
<dim>400</dim>
</port>
</output>
</layer>