c3eafde7bf
* add tensorflow
Change-Id: Id778c68d148cc42f0b478a9d10a8f937cb54cdc6
* make bazel and tensorflow build
Change-Id: Iae9005e8f4dcc8f1ed36ea9337d2430aeebb291f
* fix flake8
Change-Id: Ib05529dd796eab4a8855a5d7775cc4efea8e479d
* 2nd flake8 attempt
Change-Id: I46224be3a374b2a65793048b0c5178ea64adbd78
* replace md5 sums with sha256
* add version 1.13.2
* bazel() -> bazel('build',...
* specify versions of bazel dependency
* build with CUDA
* add TODOs
* add more todo"s
* improve enum34 dependency
* py-future is a dependency as of v1.14
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* Update var/spack/repos/builtin/packages/tensorflow/package.py
Co-Authored-By: Adam J. Stewart <ajstewart426@gmail.com>
* enable nccl, cuda by default
* explain patches
* add todo
* remove unnecessary copt_flag
* use join
* join argument must be an iterable
* split long line; use same opts for non-cuda build
* without opt flags, configure hangs
* introduce build phases; re-arrange
* undo mistake
* restore unset tmp_path
* as of v1.14, nccl_install_path is parsed correctly, hence change ...prefix.lib to ...prefix
* now, version 1.14 compiles successfully with cuda
* add version 2.1.0
* specify bazel dependency for version 2.1.0-rc0
* account for deprecated bazel opts for v2.1.0-rc0
* disable mkldnn contraction kernel
* Flake8 fixes
* md5 -> sha256
* Fix TF and TF-estimator version deps
* Don't just comment out patch
* Add myself as a maintainer
* Patch py-astor to support newer py-setuptools
* Add more versions and bazel version constraints
* Add a build phase
* Add note about configure interactivity
* dev-build -> build-env
* Disable iOS build
* Use correct optimization flags
* Add variants for all possible features
* nccl isn't always a dependency
* Specify correct dependency versions for each release
* Libs may not be in lib or lib64
* Add py-opt-einsum package
* Add newer version of py-protobuf
* Add newer version of py-wrapt
* Fix Python 2.6 syntax error
* Code review
* Set more env vars for older versions
* Add more env vars, fix bazel versions, add conflicts
* Fix config options
* Specify version that support --config args
* Add py-future dependency for Python 2
* Fix cuda config flag and compute capabilities
* Fix installation on macOS, add unit tests
* Override cuda variant default to True on non-macOS
* Rename tensorflow to py-tensorflow
* Has to extend something
* Fix os.symlink call
* convert cuda_arc values to capabilities
* restore nccl prefix path for v1.13.1
* Revert to v2
* Remove extraneous period
* Add new version of jdk/openjdk
* More stable cuda_arch formatting
* Fix bazel unit tests
* Fix symlinking
* Fix unit tests
* +gcp by default until build error figured out
22 lines
899 B
Diff
22 lines
899 B
Diff
+++ tensorflow-1.0.0-rc2/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl 2017-02-15 20:40:47.633496842 +0100
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--- tensorflow-1.0.0-rc2/third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl 2017-02-08 19:32:14.000000000 +0100
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@@ -46,13 +46,13 @@ import sys
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import pipes
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# Template values set by cuda_autoconf.
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-CPU_COMPILER = ('%{cpu_compiler}')
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-GCC_HOST_COMPILER_PATH = ('%{gcc_host_compiler_path}')
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+CPU_COMPILER = os.environ['SPACK_CC']
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+GCC_HOST_COMPILER_PATH = CPU_COMPILER
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CURRENT_DIR = os.path.dirname(sys.argv[0])
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NVCC_PATH = CURRENT_DIR + '/../../../cuda/bin/nvcc'
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-LLVM_HOST_COMPILER_PATH = ('/usr/bin/gcc')
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-PREFIX_DIR = os.path.dirname(GCC_HOST_COMPILER_PATH)
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+LLVM_HOST_COMPILER_PATH = os.environ['SPACK_CC']
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+PREFIX_DIR = os.path.dirname(os.environ['SPACK_CC'])
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NVCC_VERSION = '%{cuda_version}'
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def Log(s):
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