Initial commit

.gitignore

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+*.DS_Store
+*.pyc
+temp/*
+dist/*
+build/*
+tags
+Keras_Applications.egg-info
+
+# test-related
+.coverage
+.cache
+.pytest_cache

.travis.yml

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+sudo: required
+dist: trusty
+language: python
+matrix:
+    include:
+        - python: 2.7
+          env: KERAS_BACKEND=tensorflow TEST_MODE=PEP8
+        - python: 2.7
+          env: KERAS_BACKEND=tensorflow TEST_MODE=INTEGRATION_TESTS
+        - python: 3.6
+          env: KERAS_BACKEND=tensorflow TEST_MODE=DOC
+        - python: 2.7
+          env: KERAS_BACKEND=tensorflow
+        - python: 3.6
+          env: KERAS_BACKEND=tensorflow
+        - python: 2.7
+          env: KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile
+        - python: 3.6
+          env: KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile
+        - python: 2.7
+          env: KERAS_BACKEND=cntk PYTHONWARNINGS=ignore
+        - python: 3.6
+          env: KERAS_BACKEND=cntk PYTHONWARNINGS=ignore
+install:
+  # code below is taken from http://conda.pydata.org/docs/travis.html
+  # We do this conditionally because it saves us some downloading if the
+  # version is the same.
+  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
+      wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
+    else
+      wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
+    fi
+  - bash miniconda.sh -b -p $HOME/miniconda
+  - export PATH="$HOME/miniconda/bin:$PATH"
+  - hash -r
+  - conda config --set always_yes yes --set changeps1 no
+  - conda update -q conda
+  # Useful for debugging any issues with conda
+  - conda info -a
+
+  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytest pandas
+  - source activate test-environment
+  - pip install --only-binary=numpy,scipy numpy nose scipy matplotlib h5py theano
+  - conda install mkl mkl-service
+
+  # set library path
+  - export LD_LIBRARY_PATH=$HOME/miniconda/envs/test-environment/lib/:$LD_LIBRARY_PATH
+
+  # install PIL
+  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
+      conda install pil;
+    elif [[ "$TRAVIS_PYTHON_VERSION" == "3.6" ]]; then
+      conda install Pillow;
+    fi
+
+  - pip install -e .[tests]
+
+  # install TensorFlow (CPU version).
+  - pip install tensorflow==1.7
+
+  # install cntk
+  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
+      pip install https://cntk.ai/PythonWheel/CPU-Only/cntk-2.3.1-cp27-cp27mu-linux_x86_64.whl;
+    elif [[ "$TRAVIS_PYTHON_VERSION" == "3.6" ]]; then
+      pip install https://cntk.ai/PythonWheel/CPU-Only/cntk-2.3.1-cp36-cp36m-linux_x86_64.whl;
+    fi
+
+  # install pydot for visualization tests
+  - conda install pydot graphviz
+
+  #install open mpi
+  - rm -rf ~/mpi
+  - mkdir ~/mpi
+  - pushd ~/mpi
+  - wget http://cntk.ai/PythonWheel/ForKeras/depends/openmpi_1.10-3.zip
+  - unzip ./openmpi_1.10-3.zip
+  - sudo dpkg -i openmpi_1.10-3.deb
+  - popd
+
+# command to run tests
+script:
+  - export MKL_THREADING_LAYER="GNU"
+  # run keras backend init to initialize backend config
+  - python -c "import keras.backend"
+  # create models directory to avoid concurrent directory creation at runtime
+  - mkdir ~/.keras/models
+  # set up keras backend
+  - sed -i -e 's/"backend":[[:space:]]*"[^"]*/"backend":\ "'$KERAS_BACKEND'/g' ~/.keras/keras.json;
+  - echo -e "Running tests with the following config:\n$(cat ~/.keras/keras.json)"
+  - if [[ "$TEST_MODE" == "INTEGRATION_TESTS" ]]; then
+      PYTHONPATH=$PWD:$PYTHONPATH py.test tests/integration_tests;
+    elif [[ "$TEST_MODE" == "PEP8" ]]; then
+      PYTHONPATH=$PWD:$PYTHONPATH py.test --pep8 -m pep8 -n0;
+    else
+      PYTHONPATH=$PWD:$PYTHONPATH py.test tests/ --ignore=tests/integration_tests --cov-config .coveragerc --cov=keras_applications tests/;
+    fi

LICENSE

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+COPYRIGHT
+
+Copyright (c) 2016 - 2018, the respective contributors.
+All rights reserved.
+
+Each contributor holds copyright over their respective contributions.
+The project versioning (Git) records all such contribution source information.
+The initial code of this repository came from https://github.com/keras-team/keras
+(the Keras repository), hence, for author information regarding commits
+that occured earlier than the first commit in the present repository,
+please see the original Keras repository.
+
+LICENSE
+
+The MIT License (MIT)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+

README.md

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+# Keras Applications
+
+[![Build Status](https://travis-ci.org/keras-team/keras-applications.svg?branch=master)](https://travis-ci.org/keras-team/keras-applications)
+
+Keras Applications is the `applications` module of
+the Keras deep learning library.
+It provides model definitions and pre-trained weights for a number
+of popular archictures, such as VGG16, ResNet50, Xception, MobileNet, and more.
+
+Read the documentation at: https://keras.io/applications/
+
+Keras Applications may be imported directly
+from an up-to-date installation of Keras:
+
+```
+from keras import applications
+```
+
+Keras Applications is compatible with Python 2.7-3.6
+and is distributed under the MIT license.

keras_applications/__init__.py

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+"""Enables dynamic setting of underlying Keras module.
+"""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+_KERAS_BACKEND = None
+_KERAS_ENGINE = None
+_KERAS_LAYERS = None
+_KERAS_MODELS = None
+_KERAS_UTILS = None
+
+
+def set_keras_submodules(backend, engine, layers, models, utils):
+    global _KERAS_BACKEND
+    global _KERAS_ENGINE
+    global _KERAS_LAYERS
+    global _KERAS_MODELS
+    global _KERAS_UTILS
+    _KERAS_BACKEND = backend
+    _KERAS_ENGINE = engine
+    _KERAS_LAYERS = layers
+    _KERAS_MODELS = models
+    _KERAS_UTILS = utils
+
+
+def get_keras_submodule(name):
+    if name not in {'backend', 'engine', 'layers', 'models', 'utils'}:
+        raise ImportError(
+            'Can only retrieve one of "backend", '
+            '"engine", "layers", "models", or "utils". '
+            'Requested: %s' % name)
+    if _KERAS_BACKEND is None:
+        raise ImportError('You need to first `import keras` '
+                          'in order to use `keras_applications`. '
+                          'For instance, you can do:\n\n'
+                          '```\n'
+                          'import keras\n'
+                          'from keras_applications import vgg16\n'
+                          '```\n\n'
+                          'Or, preferably, this equivalent formulation:\n\n'
+                          '```\n'
+                          'from keras import applications\n'
+                          '```\n')
+    if name == 'backend':
+        return _KERAS_BACKEND
+    elif name == 'engine':
+        return _KERAS_ENGINE
+    elif name == 'layers':
+        return _KERAS_LAYERS
+    elif name == 'models':
+        return _KERAS_MODELS
+    elif name == 'utils':
+        return _KERAS_UTILS