| Commit message (Collapse) | Author | Age |
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PiperOrigin-RevId: 215950376
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* Upgrade all TF base images to ubuntu 16.
* Update bazel version for CI docker image.
* Fix links to pylint in sanity build script.
* Upgrade bazel version to 0.8 on devel docker images.
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* Use 'LABEL maintainer=' in Dockerfile
This fix is a follow up of 13661 to replace `MAINTAINER`
with `LABEL maintainer=` in Dockerfile. The keyword
`MAINTAINER` has long been deprecated and is replaced by `LABEL`,
which is much more flexible and is easily searchable through `docker inspect`.
This fix replaces remaining `MAINTAINER` with `LABEL`.
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Additional `MAITAINER` -> `LABEL`
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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PiperOrigin-RevId: 169436243
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switched from gcc to clang in 13b, which introduced a number of small incompatibilities.
PiperOrigin-RevId: 167915928
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PiperOrigin-RevId: 156053314
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TF containers
PiperOrigin-RevId: 155505438
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Change: 152200430
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Change: 151046259
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Change: 148823878
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Change: 147897309
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Change: 147596183
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Installing protobuf from binary, instead of building it from source.
ci docker build performance comparison:
Not installing protobuf from binary: 9m55.948s
Installing protobuf from binary: 4m18.457s
(Note the total docker build time does not show as large an improvement because the build-from-source process of pip install pandas offsets that performance gain).
Remove some unused deb packages.
Install pandas with pip, instead of apt-get. This gets rid of the inadvertent installation of old numpy and scipy versions that have caused nightly build failures, e.g., http://ci.tensorflow.org/view/Nightly/job/nightly-matrix-cpu/TF_BUILD_CONTAINER_TYPE=CPU,TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/105/console
Unfortunately, pandas doesn't offer whl files for Linux. So we can't install them from binary like what we do for numpy, scipy and sklearn. So this will add some build time due to building pandas from source.
Change: 123496073
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Change: 120185825
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Change: 116925769
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Change: 112920860
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Change: 111621725
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* copy to get .bazelrc and add --verbose_failures
* copy install scripts one by one (it is no longer needed to re-run
all the scripts when only the last one changes)
Change: 110398445
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* it will leave the jenkins workspace (outside docker) with useful
file permissions and working symbolic links
Change: 110397897
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Change: 110191670
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Change 110055925
Clean up interface for adjust_contrast and adjust_brightness.
- Simplify kernel for adjust_contrast and remove all min/max and casts.
- Change semantics of delta arg to adjust_brightness (always in [0,1)), and adjust users.
- Add saturate_cast for casting images without over/underflow problems.
- Add new numbers for adjust_contrast benchmark.
This CL makes two changes to the public API:
- It changes the semantics of the delta parameter of adjust_brightness, which was in the same range as the input image before, and now is always in [0,1).
- It changes the semantics of adjust_contrast (the cc op), which wasn't hidden, but was shadowed by the python wrapper in image_ops. It's a little questionable whether this function was part of the public API. It definitely shouldn't have been. It is now hidden, although now it could be part of the public API, albeit with a different name.
Change 110054427
update ci_build
* add PYTHON_BIN_PATH and always run ./configure in ci_build
* rename ci_build cache directory to bazel-ci_build-cache
* sync ci_build/Dockerfile.cpu with docker/Dockerfile.devel
* use "FROM nvidia/cuda:..." for gpu container
* therefore no need of the tensorflow_extra_deps directory anymore
* share install code between containers using ./install/*.sh scripts
* do not inherit (and override FROM clausule in dockerfiles anymore)
* print bazel test errors to stderr
Change 110047126
Update ops.pbtxt.
Change 110046428
Simplify the example for the Fill op.
Base CL: 110056265
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Change 109321497
Move all images to images directory to make docs versioning easier
- adjust all paths in the docs to point to the new locations
- remove some now redundant section-order tags added for the old website
Change 109317807
Added a kernel op to compute the eigendecomposition of a self-adjoint matrix.
Added a new kernel op called self_adjoint_eig (and a batch_self_adjoint_eig) that
computes the eigendecomposition of a self-adjoint matrix. The return value is
the concatenation of the eigenvalues as a row vector, and the eigenvectors.
Change 109310773
Change `_read32()` in the MNIST input example to return an int.
Currently we return a 1-D numpy array with 1 element. Numpy has
recently deprecated the ability to treat this as a scalar, and as a
result this tutorial fails. The fix returns the 0th element of the
array instead.
Change 109301269
Re-arrange TensorBoard demo files.
Change 109273589
add ci_build for ci.tensorflow.org
Change 109260293
Speed up NodeDef -> OpKernel process by not spending time generating
an error message for missing "_kernel" attr that will be thrown away.
Change 109257179
TensorFlow:make event_file_loader_test hermetic by using tempfile
instead of fixed filenames. Without this change, running
event_file_loader_test twice in the same client (locally)
causes it to fail, because it writes into the same file and appends
another event, instead of starting from scratch.
Change 109256464
Minor cleanup in TensorBoard server code
Change 109255382
Change to reduce critical section times in gpu_event_mgr.h:
(1) Call stream->ThenRecordEvent outside the EventMgr critical section
(2) Do memory deallocation outside the critical section
Speeds up one configuration of ptb_word_lm from 2924 words per
second (wps) to 3278 wps on my desktop machine with a Titan X.
Change 109254843
Fix use of uninitialized memory in test.
Change 109250995
python_config.sh needs a license header
Otherwise the license test fails.
Change 109249914
add ci_build for ci.tensorflow.org
Change 109249397
Fixes reduce_sum (complex) on GPU segfaults.
Fixes #357
Change 109245652
add ci_build for ci.tensorflow.org
Base CL: 109321563
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