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refine batch norm python layer #7348

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Merged
merged 1 commit into from
Jan 9, 2018
+13 −6
Merged

refine batch norm python layer #7348

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5 changes: 3 additions & 2 deletions python/paddle/v2/fluid/layer_helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -120,11 +120,12 @@ def get_parameter(self, name):
raise ValueError("no Parameter name %s found" % name)
return param

def create_tmp_variable(self, dtype):
def create_tmp_variable(self, dtype, stop_gradient=False):
return self.main_program.current_block().create_var(
name=unique_name(".".join([self.name, 'tmp'])),
dtype=dtype,
persistable=False)
persistable=False,
stop_gradient=stop_gradient)

def create_variable(self, *args, **kwargs):
return self.main_program.current_block().create_var(*args, **kwargs)
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14 changes: 10 additions & 4 deletions python/paddle/v2/fluid/layers/nn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -971,20 +971,26 @@ def batch_norm(input,
attr=helper.param_attr, shape=param_shape, dtype=dtype, is_bias=True)

mean = helper.create_global_variable(
dtype=input.dtype, shape=param_shape, persistable=True)
dtype=input.dtype,
shape=param_shape,
persistable=True,
stop_gradient=True)
helper.set_variable_initializer(var=mean, initializer=Constant(0.0))

variance = helper.create_global_variable(
dtype=input.dtype, shape=param_shape, persistable=True)
dtype=input.dtype,
shape=param_shape,
persistable=True,
stop_gradient=True)
helper.set_variable_initializer(var=variance, initializer=Constant(1.0))

# create output
# mean and mean_out share the same memory
mean_out = mean
# variance and variance out share the same memory
variance_out = variance
saved_mean = helper.create_tmp_variable(dtype)
saved_variance = helper.create_tmp_variable(dtype)
saved_mean = helper.create_tmp_variable(dtype=dtype, stop_gradient=True)
saved_variance = helper.create_tmp_variable(dtype=dtype, stop_gradient=True)

batch_norm_out = helper.create_tmp_variable(dtype)

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