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Cleanup imports.
Till now, most of the modules were importing all of the module objects (variables, classes, functions, other imports) into module namespace, which potentially could (and was) cause of unintentional use of class or methods, which was indirect imported. With this patch, all the star imports were substituted with top-level module, which provides desired class or function. Besides, all imports where sorted (where possible) in a way pep8[1] suggests - first are imports from standard library, than goes third party imports (like numpy, tensorflow etc) and finally coach modules. All of those sections are separated by one empty line. [1] https://www.python.org/dev/peps/pep-0008/#imports
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@@ -1,5 +1,5 @@
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#
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# Copyright (c) 2017 Intel Corporation
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# Copyright (c) 2017 Intel Corporation
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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@@ -13,19 +13,16 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from architectures.architecture import *
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from logger import failed_imports
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try:
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from architectures.tensorflow_components.general_network import *
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from architectures.tensorflow_components.architecture import *
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except ImportError:
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failed_imports.append("TensorFlow")
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import logger
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try:
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from architectures.neon_components.general_network import *
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from architectures.neon_components.architecture import *
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from architectures.tensorflow_components import general_network as ts_gn
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from architectures.tensorflow_components import architecture as ts_arch
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except ImportError:
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failed_imports.append("Neon")
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logger.failed_imports.append("TensorFlow")
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from architectures.network_wrapper import *
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try:
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from architectures.neon_components import general_network as neon_gn
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from architectures.neon_components import architecture as neon_arch
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except ImportError:
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logger.failed_imports.append("Neon")
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