Merge pull request #114 from NVIDIA/caffe-0.14

Promote caffe-0.14 branch to master

.gitignore

@@ -61,7 +61,9 @@ Makefile.config
 data/*
 models/*
 *.caffemodel
+*.caffemodel.h5
 *.solverstate
+*.solverstate.h5
 *.binaryproto
 *leveldb
 *lmdb

.travis.yml

@@ -2,28 +2,39 @@
 # one using CMake, and one using make.
 env:
   matrix:
-    - WITH_CUDA=false WITH_CMAKE=false
-    - WITH_CUDA=false WITH_CMAKE=true
-    - WITH_CUDA=true WITH_CMAKE=false
-    - WITH_CUDA=true WITH_CMAKE=true
+    - WITH_CUDA=false WITH_CMAKE=false WITH_IO=true
+    - WITH_CUDA=false WITH_CMAKE=true WITH_IO=true PYTHON_VERSION=3
+    - WITH_CUDA=true WITH_CMAKE=false WITH_IO=true
+    - WITH_CUDA=true WITH_CMAKE=true WITH_IO=true
+    - WITH_CUDA=false WITH_CMAKE=false WITH_IO=false
+    - WITH_CUDA=false WITH_CMAKE=true WITH_IO=false PYTHON_VERSION=3
+#  Currently there is no way to install cudnn via apt-get. Uncomment when it's available.
+#    - WITH_CUDA=true WITH_CMAKE=false WITH_IO=true WITH_CUDNN=true
+#    - WITH_CUDA=true WITH_CMAKE=true WITH_IO=true WITH_CUDNN=true
 
 language: cpp
 
 # Cache Ubuntu apt packages.
-cache: apt
+cache:
+  apt: true
+  directories:
+  - /home/travis/miniconda
+  - /home/travis/miniconda2
+  - /home/travis/miniconda3
 
 compiler: gcc
 
 before_install:
   - export NUM_THREADS=4
   - export SCRIPTS=./scripts/travis
+  - export CONDA_DIR="/home/travis/miniconda$PYTHON_VERSION"
 
 install:
   - sudo -E $SCRIPTS/travis_install.sh
 
 before_script:
-  - export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib:/usr/local/cuda/lib64
-  - export PATH=/home/travis/miniconda/bin:$PATH
+  - export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib:/usr/local/cuda/lib64:$CONDA_DIR/lib
+  - export PATH=$CONDA_DIR/bin:$PATH
   - if ! $WITH_CMAKE; then $SCRIPTS/travis_setup_makefile_config.sh; fi
 
 script: $SCRIPTS/travis_build_and_test.sh