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scale the images in conv_only RUN BENCHMARKS

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Peter Zhokhov
2018-08-08 15:15:03 -07:00
parent cc8c9541fb
commit 0899b71ede
1 changed files with 1 additions and 1 deletions
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baselines/common/models.py
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@@ -138,7 +138,7 @@ def conv_only(convs=[(32, 8, 4), (64, 4, 2), (64, 3, 1)], **conv_kwargs):
''' '''
def network_fn(X): def network_fn(X):
out = X X = tf.cast(X, tf.float32) / 255.
with tf.variable_scope("convnet"): with tf.variable_scope("convnet"):
for num_outputs, kernel_size, stride in convs: for num_outputs, kernel_size, stride in convs:
out = layers.convolution2d(out, out = layers.convolution2d(out,