- 09 9月, 2016 3 次提交
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由 Martin Wicke 提交于
Cherry-picking r0.10 fixes
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由 Shanqing Cai 提交于
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由 David Z. Chen 提交于
Fixes #4261
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- 07 9月, 2016 3 次提交
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由 Yifei Feng 提交于
* Update installation instructions to use cuDNN v5 across builds.
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由 Daniel W Mane 提交于
Documentation updates for r0.10(non-rc) release.
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由 caisq 提交于
Removing deprecated module
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- 05 9月, 2016 1 次提交
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由 Ofir Press 提交于
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- 04 9月, 2016 1 次提交
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由 Gunhan Gulsoy 提交于
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- 03 9月, 2016 2 次提交
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由 Gunhan Gulsoy 提交于
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由 gunan 提交于
Update the version string to 0.10.0
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- 02 9月, 2016 5 次提交
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由 Gunhan Gulsoy 提交于
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由 Martin Wicke 提交于
R0.10
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由 Gunhan Gulsoy 提交于
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由 Jan Prach 提交于
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由 Gunhan Gulsoy 提交于
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- 01 9月, 2016 7 次提交
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由 Daniel W Mane 提交于
Merge TensorBoard 28 into r0.10
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由 Daniel Mané 提交于
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由 Daniel Mané 提交于
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由 Daniel Mané 提交于
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由 Daniel Mané 提交于
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由 Daniel Mané 提交于
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由 Yifei Feng 提交于
* Clarify that Mac works with cuDNN5. * Update os_setup.md
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- 28 8月, 2016 1 次提交
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由 Sanders Kleinfeld 提交于
updating tutorials/code accordingly. Change: 130785833
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- 27 8月, 2016 1 次提交
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由 Derek Murray 提交于
If the notification was set before waiting, the waiter would never wake up. Added a test to cover this case. Fixes #3978. Change: 131247138
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- 26 8月, 2016 1 次提交
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由 Vijay Vasudevan 提交于
* 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
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- 24 8月, 2016 1 次提交
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由 Igor Babuschkin 提交于
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- 23 8月, 2016 6 次提交
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由 gunan 提交于
This change reimplements the CUDA autoconfiguration mechanism in Skylark, providing a `cuda_configure` workspace rule. We keep the same user interface, the ./configure script, but rather than modifying source files within the source tree, `cuda_configure` generates a `@local_config_cuda` workspace containing: * Symlinks to the CUDA headers and libraries * BUILD files generated with the correct CUDA and cuDNN versions * CROSSTOOL config with CUDA include dirs populated * crosstool_wrapper_driver_is_not_gcc wrapper script with compiler paths and CUDA compute capabilities set. * cuda_config.h header file with CUDA versions and compute capabilities set, which can be `#include`d by source files. This change also makes the following fixes to `Dockerfile.gpu`: * Change the `CUDNN_INSTALL_PATH` to point to `/usr/lib/x86_64-linux-gnu` rather than `/usr/local/cuda` since NVIDIA's image installs `libcudnn.so` under `/usr/lib/x86_64-linux-gnu`. * Add env variable to set the minimum compute capability to 3.0. Fixes #2873
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由 David Z. Chen 提交于
This change reimplements the CUDA autoconfiguration mechanism in Skylark, providing a `cuda_configure` workspace rule. We keep the same user interface, the ./configure script, but rather than modifying source files within the source tree, `cuda_configure` generates a `@local_config_cuda` workspace containing: * Symlinks to the CUDA headers and libraries * BUILD files generated with the correct CUDA and cuDNN versions * CROSSTOOL config with CUDA include dirs populated * crosstool_wrapper_driver_is_not_gcc wrapper script with compiler paths and CUDA compute capabilities set. * cuda_config.h header file with CUDA versions and compute capabilities set, which can be `#include`d by source files. This change also makes the following fixes to `Dockerfile.gpu`: * Change the `CUDNN_INSTALL_PATH` to point to `/usr/lib/x86_64-linux-gnu` rather than `/usr/local/cuda` since NVIDIA's image installs `libcudnn.so` under `/usr/lib/x86_64-linux-gnu`. * Add env variable to set the minimum compute capability to 3.0. Fixes #2873
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由 gunan 提交于
Cherrypicks to fix some issues in R0.10RC
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由 Manjunath Kudlur 提交于
Fixes #3752 Change: 130113000
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由 Gunhan Gulsoy 提交于
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由 Benoit Steiner 提交于
Change: 129887348
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- 20 8月, 2016 1 次提交
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由 Daniel W Mane 提交于
update message to ask user to also install scipy
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- 19 8月, 2016 3 次提交
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由 Andrew Stromme 提交于
Following the word2vec tutorial instructions I tried "pip3 install sklearn matplotlib" but this didn't install the required "scipy". Adding that to the ImportError message. >>> from sklearn.manifold import TSNE Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/local/lib/python3.5/site-packages/sklearn/__init__.py", line 57, in <module> from .base import clone File "/usr/local/lib/python3.5/site-packages/sklearn/base.py", line 9, in <module> from scipy import sparse ImportError: No module named 'scipy'
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由 Benoit Steiner 提交于
Revert "Revert "Merge branch 'r0.10' of https://github.com/tensorflow/tensorf…"
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- 17 8月, 2016 2 次提交
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由 Daniel W Mane 提交于
Move TensorBoard 25 into r0.10
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由 Daniel Mané 提交于
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- 16 8月, 2016 1 次提交
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由 Longqi Yang 提交于
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- 15 8月, 2016 1 次提交
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由 Derek Murray 提交于
Change: 128801919
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