diff options
Diffstat (limited to 'third_party/gpus/cuda')
-rw-r--r-- | third_party/gpus/cuda/BUILD | 158 | ||||
-rw-r--r-- | third_party/gpus/cuda/LICENSE | 203 | ||||
-rwxr-xr-x | third_party/gpus/cuda/cuda_config.sh | 169 |
3 files changed, 530 insertions, 0 deletions
diff --git a/third_party/gpus/cuda/BUILD b/third_party/gpus/cuda/BUILD new file mode 100644 index 0000000000..40c048661c --- /dev/null +++ b/third_party/gpus/cuda/BUILD @@ -0,0 +1,158 @@ +licenses(["restricted"]) # MPL2, portions GPL v3, LGPL v3, BSD-like + +load("/tensorflow/tensorflow", "if_cuda") + +package(default_visibility = ["//visibility:public"]) + +config_setting( + name = "cuda_crosstool_condition", + values = {"crosstool_top": "//third_party/gpus/crosstool"}, + visibility = ["//visibility:public"], +) + +config_setting( + name = "using_gcudacc", + values = { + "crosstool_top": "//third_party/gpus/crosstool", + "copt": "--use_gcudacc", + }, + visibility = ["//visibility:public"], +) + +config_setting( + name = "using_nvcc", + values = { + "crosstool_top": "//third_party/gpus/crosstool", + "copt": "--use_nvcc", + }, +) + +cc_library( + name = "cuda_headers", + hdrs = glob([ + "**/*.h", + ]), + includes = [".", "include"], + visibility = ["//visibility:public"], +) + +cc_library( + name = "cudart_static", + srcs = [ + "lib64/libcudart_static.a", + ], + includes = ["include/"], + linkopts = [ + "-ldl", + "-lrt", + "-lpthread", + ], + visibility = ["//visibility:public"], +) + +cc_library( + name = "cudart", + srcs = [ + "lib64/libcudart.so.7.0", + ], + data = [ + "lib64/libcudart.so.7.0", + ], + includes = ["include/"], + visibility = ["//visibility:public"], + linkstatic = 1, +) + +cc_library( + name = "cublas", + srcs = [ + "lib64/libcublas.so.7.0", + ], + data = [ + "lib64/libcublas.so.7.0", + ], + includes = ["include/"], + visibility = ["//visibility:public"], + linkstatic = 1, +) + +cc_library( + name = "cudnn", + srcs = [ + "lib64/libcudnn.so.6.5", + ], + data = [ + "lib64/libcudnn.so.6.5", + ], + includes = ["include/"], + visibility = ["//visibility:public"], + linkstatic = 1, +) + +cc_library( + name = "cuda", + deps = [ + ":cuda_headers", + ":cudart", + ":cublas", + ":cudnn", + ], + visibility = ["//visibility:public"], +) + +# TODO(opensource): for now, we have to invoke the cuda_config.sh manually in the source tree. +# This rule checks if Cuda libraries in the source tree has been properly configured. +# The output list makes bazel runs this rule first if the Cuda files are missing. +# This gives us an opportunity to check and print a meaningful error message. +# But we will need to create the output file list to make bazel happy in a successfull run. +genrule( + name = "cuda_check", + srcs = [ + "cuda.config", + "cuda_config.sh", + ], + outs = [ + "include/cuda.h", + "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", + ], + cmd = if_cuda( + # Under cuda config, create all the symbolic links to the actual cuda files + "OUTPUTDIR=`readlink -f $(@D)/../../..`; cd third_party/gpus/cuda; OUTPUTDIR=$$OUTPUTDIR ./cuda_config.sh --check;", + + # Under non-cuda config, create all dummy files to make the build go through + ";".join([ + "mkdir -p $(@D)/include", + "mkdir -p $(@D)/lib64", + "touch $(@D)/include/cuda.h", + "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" + ]), + ), + local = 1, +) + +genrule( + name = "cuda_config_check", + outs = [ + "cuda.config", + ], + cmd = if_cuda( + # Under cuda config, create the symbolic link to the actual cuda.config + "ln -sf `readlink -f third_party/gpus/cuda/cuda.config` $(@D)/;", + + # Under non-cuda config, create the dummy file + ";".join([ + "touch $(@D)/cuda.config", + ]), + ), + local = 1, +) diff --git a/third_party/gpus/cuda/LICENSE b/third_party/gpus/cuda/LICENSE new file mode 100644 index 0000000000..d3da228420 --- /dev/null +++ b/third_party/gpus/cuda/LICENSE @@ -0,0 +1,203 @@ +Copyright 2015 The TensorFlow Authors. All rights reserved. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2015, The TensorFlow Authors. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/third_party/gpus/cuda/cuda_config.sh b/third_party/gpus/cuda/cuda_config.sh new file mode 100755 index 0000000000..034298590b --- /dev/null +++ b/third_party/gpus/cuda/cuda_config.sh @@ -0,0 +1,169 @@ +#!/bin/bash + +# 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. +# 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 +# * the file organizations needed by TensorFlow. + +print_usage() { +cat << EOF +Usage: $0 [--check] + Configure TensorFlow's canonical view of Cuda libraries using cuda.config. +Arguments: + --check: Only check that the proper Cuda dependencies has already been + properly configured in the source tree. It also creates symbolic links to + the files in the gen-tree to make bazel happy. +EOF +} + +CHECK_ONLY=0 +# Parse the arguments. Add more arguments as the "case" line when needed. +while [[ $# > 0 ]]; do + argument="$1" + shift + case $argument in + --check) + CHECK_ONLY=1 + ;; + *) + echo "Error: unknown arguments" + print_usage + exit -1 + ;; + esac +done + +source cuda.config || exit -1 + +OUTPUTDIR=${OUTPUTDIR:-../../..} +CUDA_TOOLKIT_PATH=${CUDA_TOOLKIT_PATH:-/usr/local/cuda} +CUDNN_INSTALL_PATH=${CUDNN_INSTALL_PATH:-/usr/local/cuda} + +# An error message when the Cuda toolkit is not found +function CudaError { + echo ERROR: $1 +cat << EOF +############################################################################## +############################################################################## +Cuda 7.0 toolkit is missing. +1. Download and install the CUDA 7.0 toolkit and CUDNN 6.5 library; +2. Run configure from the root of the source tree, before rerunning bazel; +Please refer to README.md for more details. +############################################################################## +############################################################################## +EOF + exit -1 +} + +# An error message when CUDNN is not found +function CudnnError { + echo ERROR: $1 +cat << EOF +############################################################################## +############################################################################## +Cudnn 6.5 is missing. +1. Download and install the CUDA 7.0 toolkit and CUDNN 6.5 library; +2. Run configure from the root of the source tree, before rerunning bazel; +Please refer to README.md for more details. +############################################################################## +############################################################################## +EOF + exit -1 +} + +# Check that Cuda libraries has already been properly configured in the source tree. +# We still need to create links to the gen-tree to make bazel happy. +function CheckAndLinkToSrcTree { + ERROR_FUNC=$1 + FILE=$2 + if test ! -e $FILE; then + $ERROR_FUNC "$PWD/$FILE cannot be found" + fi + + # Link the output file to the source tree, avoiding self links if they are + # the same. This could happen if invoked from the source tree by accident. + if [ ! `readlink -f $PWD` == `readlink -f $OUTPUTDIR/third_party/gpus/cuda` ]; then + mkdir -p `dirname $OUTPUTDIR/third_party/gpus/cuda/$FILE` + ln -sf $PWD/$FILE $OUTPUTDIR/third_party/gpus/cuda/$FILE + fi +} + +if [ "$CHECK_ONLY" == "1" ]; then + CheckAndLinkToSrcTree CudaError include/cuda.h + 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 + 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" +fi + +if test ! -d ${CUDNN_INSTALL_PATH}; then + CudnnError "cannot find dir: ${CUDNN_INSTALL_PATH}" +fi + +# Locate cudnn.h +if test -e ${CUDNN_INSTALL_PATH}/cudnn.h; then + CUDNN_HEADER_PATH=${CUDNN_INSTALL_PATH} +elif test -e ${CUDNN_INSTALL_PATH}/include/cudnn.h; then + CUDNN_HEADER_PATH=${CUDNN_INSTALL_PATH}/include +else + CudnnError "cannot find cudnn.h under: ${CUDNN_INSTALL_PATH}" +fi + +# Locate libcudnn.so.6.5 +if test -e ${CUDNN_INSTALL_PATH}/libcudnn.so.6.5; then + CUDNN_LIB_PATH=${CUDNN_INSTALL_PATH} +elif test -e ${CUDNN_INSTALL_PATH}/lib64/libcudnn.so.6.5; then + CUDNN_LIB_PATH=${CUDNN_INSTALL_PATH}/lib64 +else + CudnnError "cannot find libcudnn.so.6.5 under: ${CUDNN_INSTALL_PATH}" +fi + +# Helper function to build symbolic links for all files under a directory. +function LinkOneDir { + SRC_PREFIX=$1 + DST_PREFIX=$2 + SRC_DIR=$3 + DST_DIR=`echo $SRC_DIR | sed "s,^$SRC_PREFIX,$DST_PREFIX,"` + mkdir -p $DST_DIR + FILE_LIST=`find -L $SRC_DIR -maxdepth 1 -type f` + if test "$FILE_LIST" != ""; then + ln -sf $FILE_LIST $DST_DIR/ || exit -1 + fi +} +export -f LinkOneDir + +# Build links for all files under the directory, including subdirectoreis. +function LinkAllFiles { + SRC_DIR=$1 + DST_DIR=$2 + find -L $SRC_DIR -type d | xargs -I {} bash -c "LinkOneDir $SRC_DIR $DST_DIR {}" || exit -1 +} + +# Set up the symbolic links for cuda toolkit. We link at individual file level, +# not at the directory level. +# This is because the external library may have different file layout from our desired structure. +mkdir -p $OUTPUTDIR/third_party/gpus/cuda +echo "Setting up Cuda include" +LinkAllFiles ${CUDA_TOOLKIT_PATH}/include $OUTPUTDIR/third_party/gpus/cuda/include || exit -1 +echo "Setting up Cuda lib64" +LinkAllFiles ${CUDA_TOOLKIT_PATH}/lib64 $OUTPUTDIR/third_party/gpus/cuda/lib64 || exit -1 +echo "Setting up Cuda bin" +LinkAllFiles ${CUDA_TOOLKIT_PATH}/bin $OUTPUTDIR/third_party/gpus/cuda/bin || exit -1 +echo "Setting up Cuda nvvm" +LinkAllFiles ${CUDA_TOOLKIT_PATH}/nvvm $OUTPUTDIR/third_party/gpus/cuda/nvvm || exit -1 + +# 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 |