remove cu100

.travis.yml

@@ -27,7 +27,7 @@ env:
     # - TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu101
 
 jobs:
-  exclude:  # Exclude all macOS CUDA jobs.
+  exclude:  # Exclude all macOS CUDA jobs and Windows cu100 job.
     - os: osx
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu92
     - os: osx
@@ -52,13 +52,22 @@ jobs:
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu100
     - os: osx
       env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu101
+    - os: windows
+      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.8 IDX=cu100
+    - os: windows
+      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.7 IDX=cu100
+    - os: windows
+      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.6 IDX=cu100
+    - os: windows
+      env: TORCH_VERSION=1.4.0 PYTHON_VERSION=3.5 IDX=cu100
+
 
 install:
   - source script/cuda.sh
   - source script/conda.sh
   - conda create --yes -n test python=${PYTHON_VERSION}
   - source activate test
-  - if [ ${TRAVIS_OS_NAME} = "windows" ] || [ $IDX != "cu92" ]; then conda install pytorch ${TOOLKIT} -c pytorch -c defaults -c numba/label/dev --yes; else conda install pytorch=${TORCH_VERSION} ${TOOLKIT} -c pytorch --yes; fi
+  - if [ ${TRAVIS_OS_NAME} = "windows" ] || [ $IDX != "cu92" ]; then conda install pytorch=${TORCH_VERSION} ${TOOLKIT} -c pytorch -c defaults -c numba/label/dev --yes; else conda install pytorch=${TORCH_VERSION} ${TOOLKIT} -c pytorch --yes; fi
   - pip install flake8 codecov
   - python setup.py install
 

script/cuda.sh

@@ -38,8 +38,6 @@ if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu92" ]; then
   export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod2/local_installers2
   export CUDA_FILE=cuda_${CUDA_SHORT}.148_win10
   export TOOLKIT="cudatoolkit=${CUDA_SHORT}"
-
-
 fi
 
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "$IDX" = "cu100" ]; then
@@ -83,7 +81,7 @@ fi
 
 if [ "${TRAVIS_OS_NAME}" = "windows" ] && [ "${IDX}" != "cpu" ]; then
   wget -nv "${CUDA_URL}/${CUDA_FILE}"
-  PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
+  PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
   ls /c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/VC/Tools/MSVC
   CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v${CUDA_SHORT}
   PATH=${CUDA_HOME}/bin:$PATH