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Fix issue #2005 (https://github.com/microsoft/nni/issues/2005) #2012

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Feb 7, 2020
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Fix issue #2005 (https://github.com/microsoft/nni/issues/2005) #2012

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2 changes: 1 addition & 1 deletion src/sdk/pynni/nni/compression/torch/pruners.py
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Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ def calc_mask(self, layer, config):
if k == 0 or target_sparsity >= 1 or target_sparsity <= 0:
return mask
# if we want to generate new mask, we should update weigth first
w_abs = weight.abs() * mask
w_abs = weight.abs() * mask['weight']
threshold = torch.topk(w_abs.view(-1), k, largest=False)[0].max()
new_mask = {'weight': torch.gt(w_abs, threshold).type_as(weight)}
self.mask_dict.update({op_name: new_mask})
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