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Arg seed for DropoutLayer & GaussianNoiseLayer #130

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Merged
merged 1 commit into from
Apr 22, 2017
Merged

Arg seed for DropoutLayer & GaussianNoiseLayer #130

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11 changes: 8 additions & 3 deletions tensorlayer/layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -903,6 +903,8 @@ class DropoutLayer(Layer):
Default False, if True, the keeping probability is fixed and cannot be changed via feed_dict.
is_train : boolean
If False, skip this layer, default is True.
seed : int or None
An integer or None to create random seed.
name : a string or None
An optional name to attach to this layer.

Expand Down Expand Up @@ -939,6 +941,7 @@ def __init__(
keep = 0.5,
is_fix = False,
is_train = True,
seed = None,
name = 'dropout_layer',
):
Layer.__init__(self, name=name)
Expand All @@ -955,10 +958,10 @@ def __init__(
# The name of placeholder for keep_prob is the same with the name
# of the Layer.
if is_fix:
self.outputs = tf.nn.dropout(self.inputs, keep, name=name)
self.outputs = tf.nn.dropout(self.inputs, keep, seed=seed, name=name)
else:
set_keep[name] = tf.placeholder(tf.float32)
self.outputs = tf.nn.dropout(self.inputs, set_keep[name], name=name) # 1.2
self.outputs = tf.nn.dropout(self.inputs, set_keep[name], seed=seed, name=name) # 1.2

self.all_layers = list(layer.all_layers)
self.all_params = list(layer.all_params)
Expand Down Expand Up @@ -997,6 +1000,8 @@ class GaussianNoiseLayer(Layer):
stddev : float
is_train : boolean
If False, skip this layer, default is True.
seed : int or None
An integer or None to create random seed.
name : a string or None
An optional name to attach to this layer.
"""
Expand All @@ -1020,7 +1025,7 @@ def __init__(
print(" [TL] GaussianNoiseLayer %s: mean:%f stddev:%f" % (self.name, mean, stddev))
with tf.variable_scope(name) as vs:
# noise = np.random.normal(0.0 , sigma , tf.to_int64(self.inputs).get_shape())
noise = tf.random_normal(shape = self.inputs.get_shape(), mean=mean, stddev=stddev)
noise = tf.random_normal(shape = self.inputs.get_shape(), mean=mean, stddev=stddev, seed=seed)
self.outputs = self.inputs + noise
self.all_layers = list(layer.all_layers)
self.all_params = list(layer.all_params)
Expand Down