| Commit message (Collapse) | Author | Age |
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Change: 144396000
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submodule. Undo change when this use-case is supported in native.http_archive in Bazel.
Change: 144390772
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and other places where we call malloc/free.
- Only enabled on Linux for now.
- Added as a ./configure option defaulting to enabled.
Change: 144266237
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XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators.
XLA is still experimental; we are releasing it early to get the community involved.
Change: 143990941
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cuda_default_copts() and moved CUDA-specific options there.
Change: 143811735
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Change: 143710639
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Change: 143689873
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Change: 143412147
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Change: 143204614
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This frees up space on the TensorFlow GitHub home page!
Change: 143161497
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Change: 143131671
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Google Cloud Platform support is now available for everyone by default.
Fixes #5349
Change: 143077241
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Change: 142805270
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Change: 142501037
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Change: 142169284
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Change: 142074581
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Change: 142041070
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target.
Add missing zlib dependency to LLVM build file.
Various other small cleanups.
Change: 141557751
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Additionally:
- change single quotes to double quotes to make path rewriting easier
- guard windows lib reference with PLATFORM_WINDOWS
- fixed failing kmeans test
Change: 141515942
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configure time.
Change: 141474932
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built with --config=cuda.
Change: 141406402
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allows non --config=cuda builds to link the CUDA plugins if desired.
Add build macro if_cuda_is_configured() that tests whether CUDA was enabled at configure time, rather than whether the current BUILD is using a CUDA compiler.
Change: 141375030
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builds.
Change: 141352525
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1. Created open-source target libdevice_root that wraps all libdevice files.
2. platform/posix/cuda_libdevice_path depends on the libdevice_root target.
3. Added cuda_libdevice_path_test that verifies libdevice files exist in the
computed libdevice directory.
Change: 141237087
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--config=cuda.
Change: 140807677
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Change: 140616374
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Change: 140533246
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Change: 140396287
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Change: 140088388
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Change: 139938302
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Change: 139832288
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Change: 139516555
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This makes JPEG go 2x faster on x86_64 (k8), arm7, and arm8. On all
other CPU targets, e.g. x86, JPEG performance should be the same as it
was before.
Fixes #4807
Change: 139295768
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Change: 138980879
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Change: 138937852
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is then added to the list of dependencies in the main "all_opensource_files" filegroup
Change: 138698669
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google3, and enable it in github. This is because we haven't imported the backed in google3 just yet.
Change: 138689620
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Change: 138675832
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Change: 138143557
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Change: 137532946
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This should address some of the ongoing python 3.5-related build failures in:
nightly-matrix-cpu
nightly-matrix-linux-gpu
nightly-matrix-mac-gpu
nightly-python35-linux-cpu
Change: 137268906
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This change allows Bazel to fetch and build SWIG rather than getting it
from the system. This change also improves the i/o performance of the
SWIG build, makes it hermetically sealed, and ensures tf_py_wrap_cc()
can function correctly across Bazel repositories.
CC: #4983
Change: 136783531
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Change: 136750267
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Change: 136615121
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Change: 136423498
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Change: 135698415
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