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Remove dropout weight check

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Somshubra Majumdar
2017-09-08 11:27:56 -05:00
parent 72f6ca1716
commit 99c0c4b2d2
1 changed files with 6 additions and 6 deletions
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keras_contrib/applications/densenet.py
+6 -6
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@@ -231,7 +231,7 @@ def DenseNet(input_shape=None,
weights_loaded = False
if (depth == 121) and (nb_dense_block == 4) and (growth_rate == 32) and (nb_filter == 64) and \
(bottleneck is True) and (reduction == 0.5) and (dropout_rate == 0.0) and (subsample_initial_block):
(bottleneck is True) and (reduction == 0.5) and (subsample_initial_block):
if include_top:
weights_path = get_file('DenseNet-BC-121-32.h5',
DENSENET_121_WEIGHTS_PATH,
@@ -242,11 +242,11 @@ def DenseNet(input_shape=None,
DENSENET_121_WEIGHTS_PATH_NO_TOP,
cache_subdir='models',
md5_hash='55e62a6358af8a0af0eedf399b5aea99')
model.load_weights(weights_path)
model.load_weights(weights_path, by_name=True)
weights_loaded = True
if (depth == 161) and (nb_dense_block == 4) and (growth_rate == 48) and (nb_filter == 96) and \
(bottleneck is True) and (reduction == 0.5) and (dropout_rate == 0.0) and (subsample_initial_block):
(bottleneck is True) and (reduction == 0.5) and (subsample_initial_block):
if include_top:
weights_path = get_file('DenseNet-BC-161-48.h5',
DENSENET_161_WEIGHTS_PATH,
@@ -257,11 +257,11 @@ def DenseNet(input_shape=None,
DENSENET_161_WEIGHTS_PATH_NO_TOP,
cache_subdir='models',
md5_hash='1a9476b79f6b7673acaa2769e6427b92')
model.load_weights(weights_path)
model.load_weights(weights_path, by_name=True)
weights_loaded = True
if (depth == 169) and (nb_dense_block == 4) and (growth_rate == 32) and (nb_filter == 64) and \
(bottleneck is True) and (reduction == 0.5) and (dropout_rate == 0.0) and (subsample_initial_block):
(bottleneck is True) and (reduction == 0.5) and (subsample_initial_block):
if include_top:
weights_path = get_file('DenseNet-BC-169-32.h5',
DENSENET_169_WEIGHTS_PATH,
@@ -272,7 +272,7 @@ def DenseNet(input_shape=None,
DENSENET_169_WEIGHTS_PATH_NO_TOP,
cache_subdir='models',
md5_hash='89c19e8276cfd10585d5fadc1df6859e')
model.load_weights(weights_path)
model.load_weights(weights_path, by_name=True)
weights_loaded = True
if weights_loaded: