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Init partial network parameters from another saved model. #2664

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merged 6 commits into from
Jun 29, 2017

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qingqing01
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@qingqing01 qingqing01 commented Jun 29, 2017

Fix #2663

The usage example is:

para = paddle.parameters.create(cost)
para.init_from_tar('init_params.tar.gz')

@@ -187,7 +184,7 @@ def __setitem__(self, key, value):
(shape, value.shape))

if len(self.__gradient_machines__) == 0:
self.__tmp_params__.append((key, value))
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The append could lead the repeated key in self.__tmp_params__. This is a bug.

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@reyoung reyoung left a comment

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LGTM, except a tiny enhancement for Python syntax.

@@ -302,6 +299,12 @@ def from_tar(f):
params.deserialize(param_name, f)
return params

def init_from_tar(self, f):
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Because from_tar is a static method. Maybe Parameters.from_tar is better.

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Done.

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@pkuyym pkuyym left a comment

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Maybe we should add comment to describe the usage scenario about from_tar and init_from_tar.

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@pkuyym add comments.

@NHZlX
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NHZlX commented Jul 1, 2017

The usage example should be :

para = paddle.parameters.create(cost)
with gzip.open('init_params.tar.gz') as f:
     para.init_from_tar(f)

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4 participants