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Add a padding operator #94

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xyzsam opened this issue Jun 27, 2021 · 0 comments
Open

Add a padding operator #94

xyzsam opened this issue Jun 27, 2021 · 0 comments

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@xyzsam
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xyzsam commented Jun 27, 2021

Sometimes tensors need to be manually padded in some dimensions. Add an operator like numpy.pad.
@mrbeann mrbeann mentioned this issue Jul 12, 2021
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xyzsam pushed a commit that referenced this issue Jul 17, 2021
@mrbeann
Add a padding operator. (#95)
e54f53d 
The implemented operator supports padding in all dimensions and asymmetric padding. And it is implemented in software only, no accelerated version is available. The code is tested in both CPP and python API. In the CPP test, I test it with different input sizes (2D, 4D) and different padding patterns (asymmetric, symmetric). The python API testing is mainly focused on it can work in a graph.

Example Python code.
```python
      # consider input_tensor is a 4D tensor, we pad the last 2 dimension with 1
      out = array_ops.padding(input_tensor, [0, 0, 0, 0, 1, 1, 1, 1], "padding")
      # consider input_tensor is a 4D tensor, we pad the 2nd dimension with symmetric 
      # padding with size 1 and the 3rd dimension with asymmetric padiing of size 1 and 2.
      out = array_ops.padding(input_tensor, [0, 0, 0, 0, 1, 1, 1, 2], "padding")
```

Fixes issue #94.
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