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-rw-r--r--third_party/gpus/cuda/BUILD36
-rwxr-xr-xthird_party/gpus/cuda/cuda_config.sh32
2 files changed, 36 insertions, 32 deletions
diff --git a/third_party/gpus/cuda/BUILD b/third_party/gpus/cuda/BUILD
index 690728c5d2..47adb1d9d0 100644
--- a/third_party/gpus/cuda/BUILD
+++ b/third_party/gpus/cuda/BUILD
@@ -1,6 +1,10 @@
licenses(["restricted"]) # MPL2, portions GPL v3, LGPL v3, BSD-like
load("/tensorflow/tensorflow", "if_cuda")
+load("//tensorflow/core:platform/default/build_config.bzl",
+ "tf_get_cuda_version",
+ "tf_get_cudnn_version",
+ )
package(default_visibility = ["//visibility:public"])
@@ -53,10 +57,10 @@ cc_library(
cc_library(
name = "cudart",
srcs = [
- "lib64/libcudart.so.7.0",
+ "lib64/libcudart.so." + tf_get_cuda_version(),
],
data = [
- "lib64/libcudart.so.7.0",
+ "lib64/libcudart.so." + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
@@ -66,10 +70,10 @@ cc_library(
cc_library(
name = "cublas",
srcs = [
- "lib64/libcublas.so.7.0",
+ "lib64/libcublas.so." + tf_get_cuda_version(),
],
data = [
- "lib64/libcublas.so.7.0",
+ "lib64/libcublas.so." + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
@@ -79,10 +83,10 @@ cc_library(
cc_library(
name = "cudnn",
srcs = [
- "lib64/libcudnn.so.6.5",
+ "lib64/libcudnn.so." + tf_get_cudnn_version(),
],
data = [
- "lib64/libcudnn.so.6.5",
+ "lib64/libcudnn.so." + tf_get_cudnn_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
@@ -92,10 +96,10 @@ cc_library(
cc_library(
name = "cufft",
srcs = [
- "lib64/libcufft.so.7.0",
+ "lib64/libcufft.so." + tf_get_cuda_version(),
],
data = [
- "lib64/libcufft.so.7.0",
+ "lib64/libcufft.so." + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
@@ -130,10 +134,10 @@ genrule(
"include/cublas.h",
"include/cudnn.h",
"lib64/libcudart_static.a",
- "lib64/libcublas.so.7.0",
- "lib64/libcudnn.so.6.5",
- "lib64/libcudart.so.7.0",
- "lib64/libcufft.so.7.0",
+ "lib64/libcublas.so." + tf_get_cuda_version(),
+ "lib64/libcudnn.so." + tf_get_cudnn_version(),
+ "lib64/libcudart.so." + tf_get_cuda_version(),
+ "lib64/libcufft.so." + tf_get_cuda_version(),
],
cmd = if_cuda(
# Under cuda config, create all the symbolic links to the actual cuda files
@@ -147,10 +151,10 @@ genrule(
"touch $(@D)/include/cublas.h",
"touch $(@D)/include/cudnn.h",
"touch $(@D)/lib64/libcudart_static.a",
- "touch $(@D)/lib64/libcublas.so.7.0",
- "touch $(@D)/lib64/libcudnn.so.6.5",
- "touch $(@D)/lib64/libcudart.so.7.0",
- "touch $(@D)/lib64/libcufft.so.7.0"
+ "touch $(@D)/lib64/libcublas.so." + tf_get_cuda_version(),
+ "touch $(@D)/lib64/libcudnn.so." + tf_get_cudnn_version(),
+ "touch $(@D)/lib64/libcudart.so." + tf_get_cuda_version(),
+ "touch $(@D)/lib64/libcufft.so." + tf_get_cuda_version(),
]),
),
local = 1,
diff --git a/third_party/gpus/cuda/cuda_config.sh b/third_party/gpus/cuda/cuda_config.sh
index 44e07433a0..87c35349c0 100755
--- a/third_party/gpus/cuda/cuda_config.sh
+++ b/third_party/gpus/cuda/cuda_config.sh
@@ -16,7 +16,7 @@
# A simple script to configure the Cuda tree needed for the TensorFlow GPU
-# build. We need both Cuda toolkit 7.0 and Cudnn 6.5.
+# build. We need both Cuda toolkit $TF_CUDA_VERSION and Cudnn $TF_CUDNN_VERSION.
# Useage:
# * User edit cuda.config to point both Cuda toolkit and Cudnn libraries to their local path
# * run cuda_config.sh to generate symbolic links in the source tree to reflect
@@ -62,8 +62,8 @@ function CudaError {
cat << EOF
##############################################################################
##############################################################################
-Cuda 7.0 toolkit is missing.
-1. Download and install the CUDA 7.0 toolkit and CUDNN 6.5 library;
+Cuda $TF_CUDA_VERSION toolkit is missing.
+1. Download and install the CUDA $TF_CUDA_VERSION toolkit and CUDNN $TF_CUDNN_VERSION library;
2. Run configure from the root of the source tree, before rerunning bazel;
Please refer to README.md for more details.
##############################################################################
@@ -78,8 +78,8 @@ function CudnnError {
cat << EOF
##############################################################################
##############################################################################
-Cudnn 6.5 is missing.
-1. Download and install the CUDA 7.0 toolkit and CUDNN 6.5 library;
+Cudnn $TF_CUDNN_VERSION is missing.
+1. Download and install the CUDA $TF_CUDA_VERSION toolkit and CUDNN $TF_CUDNN_VERSION library;
2. Run configure from the root of the source tree, before rerunning bazel;
Please refer to README.md for more details.
##############################################################################
@@ -110,18 +110,18 @@ if [ "$CHECK_ONLY" == "1" ]; then
CheckAndLinkToSrcTree CudaError include/cublas.h
CheckAndLinkToSrcTree CudnnError include/cudnn.h
CheckAndLinkToSrcTree CudaError lib64/libcudart_static.a
- CheckAndLinkToSrcTree CudaError lib64/libcublas.so.7.0
- CheckAndLinkToSrcTree CudnnError lib64/libcudnn.so.6.5
- CheckAndLinkToSrcTree CudaError lib64/libcudart.so.7.0
- CheckAndLinkToSrcTree CudaError lib64/libcufft.so.7.0
+ CheckAndLinkToSrcTree CudaError lib64/libcublas.so.$TF_CUDA_VERSION
+ CheckAndLinkToSrcTree CudnnError lib64/libcudnn.so.$TF_CUDNN_VERSION
+ CheckAndLinkToSrcTree CudaError lib64/libcudart.so.$TF_CUDA_VERSION
+ CheckAndLinkToSrcTree CudaError lib64/libcufft.so.$TF_CUDA_VERSION
exit 0
fi
# Actually configure the source tree for TensorFlow's canonical view of Cuda
# libraries.
-if test ! -e ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.7.0; then
- CudaError "cannot find ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.7.0"
+if test ! -e ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.$TF_CUDA_VERSION; then
+ CudaError "cannot find ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.$TF_CUDA_VERSION"
fi
if test ! -d ${CUDNN_INSTALL_PATH}; then
@@ -137,13 +137,13 @@ else
CudnnError "cannot find cudnn.h under: ${CUDNN_INSTALL_PATH}"
fi
-# Locate libcudnn.so.6.5
-if test -e ${CUDNN_INSTALL_PATH}/libcudnn.so.6.5; then
+# Locate libcudnn.so.${$TF_CUDNN_VERSION}
+if test -e ${CUDNN_INSTALL_PATH}/libcudnn.so.$TF_CUDNN_VERSION; then
CUDNN_LIB_PATH=${CUDNN_INSTALL_PATH}
-elif test -e ${CUDNN_INSTALL_PATH}/lib64/libcudnn.so.6.5; then
+elif test -e ${CUDNN_INSTALL_PATH}/lib64/libcudnn.so.$TF_CUDNN_VERSION; then
CUDNN_LIB_PATH=${CUDNN_INSTALL_PATH}/lib64
else
- CudnnError "cannot find libcudnn.so.6.5 under: ${CUDNN_INSTALL_PATH}"
+ CudnnError "cannot find libcudnn.so.$TF_CUDNN_VERSION under: ${CUDNN_INSTALL_PATH}"
fi
# Helper function to build symbolic links for all files under a directory.
@@ -182,4 +182,4 @@ LinkAllFiles ${CUDA_TOOLKIT_PATH}/nvvm $OUTPUTDIR/third_party/gpus/cuda/nvvm ||
# Set up symbolic link for cudnn
ln -sf $CUDNN_HEADER_PATH/cudnn.h $OUTPUTDIR/third_party/gpus/cuda/include/cudnn.h || exit -1
-ln -sf $CUDNN_LIB_PATH/libcudnn.so.6.5 $OUTPUTDIR/third_party/gpus/cuda/lib64/libcudnn.so.6.5 || exit -1
+ln -sf $CUDNN_LIB_PATH/libcudnn.so.$TF_CUDNN_VERSION $OUTPUTDIR/third_party/gpus/cuda/lib64/libcudnn.so.$TF_CUDNN_VERSION || exit -1