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Cherry-pick into r0.10 cuda configure fix and gif.BUILD missing headers (#4041)

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* Add missing headers to gif BUILD definition.

% :.../gif/giflib-5.1.4/lib$ ls
dgif_lib.c  gif_err.c	gif_hash.h	   Makefile.am	 openbsd-reallocarray.c
egif_lib.c  gif_font.c	gif_lib.h	   Makefile.in	 quantize.c
gifalloc.c  gif_hash.c	gif_lib_private.h  Makefile.unx
Change: 131121931

* cuda_configure: Use env variables that match those used in configure script. (#4034)

Issue #4002
This commit is contained in:
Vijay Vasudevan 2016-08-25 11:35:11 -07:00 committed by GitHub
parent 5d3492df51
commit 761e6de435
4 changed files with 36 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
configure vendored
View File

@ -98,7 +98,7 @@ while true; do
fi
fi
if [ -e "$GCC_HOST_COMPILER_PATH" ]; then
export CC=$GCC_HOST_COMPILER_PATH
export GCC_HOST_COMPILER_PATH
break
fi
echo "Invalid gcc path. ${GCC_HOST_COMPILER_PATH} cannot be found" 1>&2
@ -142,7 +142,7 @@ while true; do
if [ -e "${CUDA_TOOLKIT_PATH}/${CUDA_RT_LIB_PATH}" ]; then
export CUDA_TOOLKIT_PATH
export CUDA_VERSION=$TF_CUDA_VERSION
export TF_CUDA_VERSION
break
fi
echo "Invalid path to CUDA $TF_CUDA_VERSION toolkit. ${CUDA_TOOLKIT_PATH}/${CUDA_RT_LIB_PATH} cannot be found"
@ -203,7 +203,7 @@ while true; do
fi
if [ -e "$CUDNN_INSTALL_PATH/${CUDA_DNN_LIB_ALT_PATH}" -o -e "$CUDNN_INSTALL_PATH/${CUDA_DNN_LIB_PATH}" ]; then
export CUDNN_VERSION=$TF_CUDNN_VERSION
export TF_CUDNN_VERSION
export CUDNN_INSTALL_PATH
break
fi
@ -211,7 +211,7 @@ while true; do
if [ "$OSNAME" == "Linux" ]; then
CUDNN_PATH_FROM_LDCONFIG="$(ldconfig -p | sed -n 's/.*libcudnn.so .* => \(.*\)/\1/p')"
if [ -e "${CUDNN_PATH_FROM_LDCONFIG}${TF_CUDNN_EXT}" ]; then
export CUDNN_VERSION=$TF_CUDNN_VERSION
export TF_CUDNN_VERSION
export CUDNN_INSTALL_PATH="$(dirname ${CUDNN_PATH_FROM_LDCONFIG})"
break
fi
@ -263,7 +263,7 @@ EOF
exit 1
fi
else
export CUDA_COMPUTE_CAPABILITIES=$TF_CUDA_COMPUTE_CAPABILITIES
export TF_CUDA_COMPUTE_CAPABILITIES
break
fi
TF_CUDA_COMPUTE_CAPABILITIES=""

8
gif.BUILD
View File

@ -9,12 +9,18 @@ SOURCES = [
"quantize.c",
]
HEADERS = [
"gif_hash.h",
"gif_lib.h",
"gif_lib_private.h",
]
prefix_dir = "giflib-5.1.4/lib"
cc_library(
name = "gif",
srcs = [prefix_dir + "/" + source for source in SOURCES],
hdrs = [prefix_dir + "/gif_lib.h"],
hdrs = [prefix_dir + "/" + hdrs for hdrs in HEADERS],
includes = [prefix_dir],
defines = [
"HAVE_CONFIG_H",

2
tensorflow/tools/ci_build/Dockerfile.gpu
View File

@ -24,4 +24,4 @@ ENV LD_LIBRARY_PATH /usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
ENV CUDA_TOOLKIT_PATH /usr/local/cuda
ENV CUDNN_INSTALL_PATH /usr/lib/x86_64-linux-gnu
ENV TF_NEED_CUDA 1
ENV CUDA_COMPUTE_CAPABILITIES 3.0,5.2
ENV TF_CUDA_COMPUTE_CAPABILITIES 3.0,5.2

40
third_party/gpus/cuda_configure.bzl vendored
View File

@ -3,19 +3,25 @@
`cuda_configure` depends on the following environment variables:
* `ENABLE_CUDA`: Whether to enable building with CUDA.
* `CC`: The GCC host compiler path
* `TF_NEED_CUDA`: Whether to enable building with CUDA.
* `GCC_HOST_COMPILER_PATH`: The GCC host compiler path
* `CUDA_TOOLKIT_PATH`: The path to the CUDA toolkit. Default is
`/usr/local/cuda`.
* `CUDA_VERSION`: The version of the CUDA toolkit. If this is blank, then
* `TF_CUDA_VERSION`: The version of the CUDA toolkit. If this is blank, then
use the system default.
* `CUDNN_VERSION`: The version of the cuDNN library.
* `TF_CUDNN_VERSION`: The version of the cuDNN library.
* `CUDNN_INSTALL_PATH`: The path to the cuDNN library. Default is
`/usr/local/cuda`.
* `CUDA_COMPUTE_CAPABILITIES`: The CUDA compute capabilities. Default is
* `TF_CUDA_COMPUTE_CAPABILITIES`: The CUDA compute capabilities. Default is
`3.5,5.2`.
"""
_GCC_HOST_COMPILER_PATH = "GCC_HOST_COMPILER_PATH"
_CUDA_TOOLKIT_PATH = "CUDA_TOOLKIT_PATH"
_TF_CUDA_VERSION = "TF_CUDA_VERSION"
_TF_CUDNN_VERSION = "TF_CUDNN_VERSION"
_CUDNN_INSTALL_PATH = "CUDNN_INSTALL_PATH"
_TF_CUDA_COMPUTE_CAPABILITIES = "TF_CUDA_COMPUTE_CAPABILITIES"
_DEFAULT_CUDA_VERSION = ""
_DEFAULT_CUDNN_VERSION = ""
@ -30,8 +36,8 @@ _DEFAULT_CUDA_COMPUTE_CAPABILITIES = ["3.5", "5.2"]
def find_cc(repository_ctx):
"""Find the C++ compiler."""
cc_name = "gcc"
if "CC" in repository_ctx.os.environ:
cc_name = repository_ctx.os.environ["CC"].strip()
if _GCC_HOST_COMPILER_PATH in repository_ctx.os.environ:
cc_name = repository_ctx.os.environ[_GCC_HOST_COMPILER_PATH].strip()
if not cc_name:
cc_name = "gcc"
if cc_name.startswith("/"):
@ -93,8 +99,8 @@ def _enable_cuda(repository_ctx):
def _cuda_toolkit_path(repository_ctx):
"""Finds the cuda toolkit directory."""
cuda_toolkit_path = _DEFAULT_CUDA_TOOLKIT_PATH
if "CUDA_TOOLKIT_PATH" in repository_ctx.os.environ:
cuda_toolkit_path = repository_ctx.os.environ["CUDA_TOOLKIT_PATH"].strip()
if _CUDA_TOOLKIT_PATH in repository_ctx.os.environ:
cuda_toolkit_path = repository_ctx.os.environ[_CUDA_TOOLKIT_PATH].strip()
if not repository_ctx.path(cuda_toolkit_path).exists:
fail("Cannot find cuda toolkit path.")
return cuda_toolkit_path
@ -103,8 +109,8 @@ def _cuda_toolkit_path(repository_ctx):
def _cudnn_install_basedir(repository_ctx):
"""Finds the cudnn install directory."""
cudnn_install_path = _DEFAULT_CUDNN_INSTALL_PATH
if "CUDNN_INSTALL_PATH" in repository_ctx.os.environ:
cudnn_install_path = repository_ctx.os.environ["CUDNN_INSTALL_PATH"].strip()
if _CUDNN_INSTALL_PATH in repository_ctx.os.environ:
cudnn_install_path = repository_ctx.os.environ[_CUDNN_INSTALL_PATH].strip()
if not repository_ctx.path(cudnn_install_path).exists:
fail("Cannot find cudnn install path.")
return cudnn_install_path
@ -112,25 +118,25 @@ def _cudnn_install_basedir(repository_ctx):
def _cuda_version(repository_ctx):
"""Detects the cuda version."""
if "CUDA_VERSION" in repository_ctx.os.environ:
return repository_ctx.os.environ["CUDA_VERSION"].strip()
if _TF_CUDA_VERSION in repository_ctx.os.environ:
return repository_ctx.os.environ[_TF_CUDA_VERSION].strip()
else:
return ""
def _cudnn_version(repository_ctx):
"""Detects the cudnn version."""
if "CUDNN_VERSION" in repository_ctx.os.environ:
return repository_ctx.os.environ["CUDNN_VERSION"].strip()
if _TF_CUDNN_VERSION in repository_ctx.os.environ:
return repository_ctx.os.environ[_TF_CUDNN_VERSION].strip()
else:
return ""
def _compute_capabilities(repository_ctx):
"""Returns a list of strings representing cuda compute capabilities."""
if "CUDA_COMPUTE_CAPABILITIES" not in repository_ctx.os.environ:
if _TF_CUDA_COMPUTE_CAPABILITIES not in repository_ctx.os.environ:
return _DEFAULT_CUDA_COMPUTE_CAPABILITIES
capabilities_str = repository_ctx.os.environ["CUDA_COMPUTE_CAPABILITIES"]
capabilities_str = repository_ctx.os.environ[_TF_CUDA_COMPUTE_CAPABILITIES]
capabilities = capabilities_str.split(",")
for capability in capabilities:
# Workaround for Skylark's lack of support for regex. This check should