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27c7158166
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
44 lines
1.1 KiB
Python
44 lines
1.1 KiB
Python
## @package nonlinearity
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# Module caffe2.python.helpers.nonlinearity
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from caffe2.python import core
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def prelu(model, blob_in, blob_out, num_channels=1, slope_init=None,
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**kwargs):
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"""PRelu"""
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slope_init = (
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slope_init if slope_init else ('ConstantFill', {'value': 0.25}))
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if model.init_params:
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slope = model.param_init_net.__getattr__(slope_init[0])(
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[],
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blob_out + '_slope',
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shape=[num_channels],
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**slope_init[1]
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)
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else:
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slope = core.ScopedBlobReference(
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blob_out + '_slope', model.param_init_net)
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model.AddParameter(slope)
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return model.net.PRelu([blob_in, slope], [blob_out])
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def relu(model, blob_in, blob_out, use_cudnn=False, order="NCHW", **kwargs):
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"""Relu."""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.Relu(blob_in, blob_out, order=order, **kwargs)
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def tanh(model, blob_in, blob_out, use_cudnn=False, order="NCHW", **kwargs):
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"""Tanh."""
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if use_cudnn:
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kwargs['engine'] = 'CUDNN'
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return model.net.Tanh(blob_in, blob_out, order=order, **kwargs)
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