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TensorLayerX 0.5.7 release (#23)
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-4
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3 files changed

+2
-4
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setup.py

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@@ -20,7 +20,7 @@
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MAJOR = 0
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MINOR = 5
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PATCH = 6
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PATCH = 7
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PRE_RELEASE = ''
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# Use the following formatting: (major, minor, patch, prerelease)
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VERSION = (MAJOR, MINOR, PATCH, PRE_RELEASE)

tensorlayerx/files/utils.py

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@@ -575,7 +575,6 @@ def load_cropped_svhn(path='data', include_extra=True):
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v = np.load(np_file, allow_pickle=True)
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X_extra = v['X']
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y_extra = v['y']
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# print(X_train.shape, X_extra.shape)
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logging.info(" adding n_extra {} to n_train {}".format(len(y_extra), len(y_train)))
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t = time.time()
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X_train = np.concatenate((X_train, X_extra), 0)
@@ -2691,7 +2690,6 @@ def load_hdf5_to_weights_in_order(filepath, network, skip=False):
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"""
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f = h5py.File(filepath, 'r')
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weights = f['model_parameters']
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print(weights.keys())
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if len(weights.keys()) != len(set(weights.keys())):
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raise Exception("Duplication in model npz_dict %s" % name)
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tensorlayerx/package_info.py

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MAJOR = 0
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MINOR = 5
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PATCH = 6
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PATCH = 7
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PRE_RELEASE = ''
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# Use the following formatting: (major, minor, patch, prerelease)
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VERSION = (MAJOR, MINOR, PATCH, PRE_RELEASE)

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