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[IMPORTANT] release test script for layers | basic layer update #389

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Merged
merged 10 commits into from
Mar 10, 2018
Merged

[IMPORTANT] release test script for layers | basic layer update #389

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e2dbadb
[IMPORTANT] release test script for layers
zsdonghao Mar 10, 2018
7ecbe01
simplify (#390)
lgarithm Mar 10, 2018
8e4af33
rename ambigeous names.
luomai Mar 10, 2018
b91804f
fix issue
luomai Mar 10, 2018
cbcb741
fix bugs.
luomai Mar 10, 2018
b87fea0
fix issue
luomai Mar 10, 2018
84a3ba1
super resolution - remore useless code
zsdonghao Mar 10, 2018
90c2d64
fixed luomai problems
zsdonghao Mar 10, 2018
c513955
yapf layers
zsdonghao Mar 10, 2018
013b6b7
fixed averaged embedding layer for python2
zsdonghao Mar 10, 2018
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18 changes: 16 additions & 2 deletions .travis.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,20 @@ script:
- python tests/test_yapf_format.py
- python tests/test_pydocstyle.py
- python tests/test_mnist_simple.py
- python tests/test_pooling.py
- python tests/test_reuse_mlp.py
- python tests/test_time_distributed.py
- python tests/test_layers_basic.py
- python tests/test_layers_convolution.py
- python tests/test_layers_core.py
- python tests/test_layers_extend.py
- python tests/test_layers_flow_control.py
- python tests/test_layers_importer.py
- python tests/test_layers_merge.py
- python tests/test_layers_normalization.py
- python tests/test_layers_pooling.py
- python tests/test_layers_recurrent.py
- python tests/test_layers_shape.py
- python tests/test_layers_spatial_transformer.py
- python tests/test_layers_special_activation.py
- python tests/test_layers_stack.py
- python tests/test_layers_super_resolution.py
- python tests/test_layers_time_distributed.py
2 changes: 1 addition & 1 deletion example/tutorial_imagenet_inceptionV3_distributed.py
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Expand Up @@ -158,7 +158,7 @@ def build_network(image_input, num_classes=1001, is_training=False):
net_in = tl.layers.InputLayer(image_input, name='input_layer')
with slim.arg_scope(inception_v3_arg_scope()):
network = tl.layers.SlimNetsLayer(
layer=net_in, slim_layer=inception_v3, slim_args={
prev_layer=net_in, slim_layer=inception_v3, slim_args={
'num_classes': num_classes,
'is_training': is_training
}, name='InceptionV3')
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2 changes: 1 addition & 1 deletion example/tutorial_inceptionV3_tfslim.py
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Expand Up @@ -100,7 +100,7 @@ def print_prob(prob):
# logits, end_points = inception_v3(X, num_classes=1001,
# is_training=False)
network = tl.layers.SlimNetsLayer(
layer=net_in,
prev_layer=net_in,
slim_layer=inception_v3,
slim_args={
'num_classes': 1001,
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5 changes: 1 addition & 4 deletions example/tutorial_keras.py
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Expand Up @@ -17,10 +17,7 @@

batch_size = 128
x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(
tf.int64, shape=[
None,
])
y_ = tf.placeholder(tf.int64, shape=[None])


def keras_block(x):
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