Searched full:nightly (Results 1 – 25 of 338) sorted by relevance
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| /external/tensorflow/tensorflow/tools/dockerfiles/ |
| D | spec.yml | 28 # For example, a release that uses {nightly}{py} would create 4 Dockerfiles
29 # (which could become images or concrete Dockerfiles), because the "nightly"
32 # - nightly (no -py2 because the Python 2 slice set has add_to_name: ""
33 # - nightly-py3
34 # - nightly-gpu (similar)
35 # - nightly-gpu-py3
39 # Built Nightly and pushed to tensorflow/tensorflow
40 nightly:
42 - "{nightly}{py}{jupyter}"
191 nightly:
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| D | README.md | 93 # Build all of the "nightly" images on your local machine:
94 $ asm_images --release nightly --build_images
97 $ asm_images --release nightly --build_images > tf-built.txt
103 $ asm_images --release nightly --build_images --run_tests_path=$(realpath tests) --only_tags_matchi…
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| /external/tensorflow/ |
| D | README.md | 51 People who are a little more adventurous can also try our nightly binaries:
53 **Nightly pip packages**
54 * We are pleased to announce that TensorFlow now offers nightly pip packages
55 under the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
56 [tf-nightly-gpu](https://pypi.python.org/pypi/tf-nightly-gpu) project on pypi.
57 Simply run `pip install tf-nightly` or `pip install tf-nightly-gpu` in a clean
58 environment to install the nightly TensorFlow build. We support CPU and GPU
104 …com/tensorflow-kokoro-build-badges/ubuntu-cc.html) | [pypi](https://pypi.org/project/tf-nightly/) |
105 …rflow-kokoro-build-badges/ubuntu-gpu-py3.html) | [pypi](https://pypi.org/project/tf-nightly-gpu/) |
107 …/tensorflow-kokoro-build-badges/macos-py2-cc.html) | [pypi](https://pypi.org/project/tf-nightly/) |
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| /external/libjpeg-turbo/ |
| D | .travis.yml | 83 mkdir -p ~/src/ljt.nightly &&
87 …docker run -v $HOME/src/ljt.nightly:/root/src/ljt.nightly -v $HOME/src/buildscripts:/root/src/buil…
88 sudo chown -R travis:travis ~/src/ljt.nightly &&
89 mv ~/src/ljt.nightly/latest/log-$TRAVIS_OS_NAME.txt ~/src/ljt.nightly/latest/files/;
92 mv ~/src/ljt.nightly/latest/log-$TRAVIS_OS_NAME.txt ~/src/ljt.nightly/latest/files/;
126 local-dir: $HOME/src/ljt.nightly/latest/files
139 local-dir: $HOME/src/ljt.nightly/latest/files
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| D | appveyor.yml | 29 bash c:/buildscripts/buildljt -d %MINGWPATH% -b /c/ljt.nightly -v
31 move c:\ljt.nightly\files\*.tar.gz .
33 move c:\ljt.nightly\files\*.exe .
35 move c:\ljt.nightly\files\*.zip .
37 move c:\ljt.nightly\log-windows.txt .
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
| D | README.md | 19 - Make sure you have installed TensorFlow 1.10+ or the latest `tf-nightly`
20 or `tf-nightly-gpu` pip package in order to access the eager execution feature.
50 `tf-nightly` or `tf-nightly-gpu` is highly recommended as of August 2018.
60 part of the model during training, the latest `tf-nightly` or `tf-nightly-gpu`
71 `tf-nightly` or `tf-nightly-gpu` is highly recommended as of August 2018.
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| /external/tensorflow/tensorflow/java/ |
| D | README.md | 18 ## Nightly builds
23 - [JAR](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensor…
24 - [Source JAR](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/li…
26 …- [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_packa…
27 …- [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/li…
28 …- [MacOS](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libten…
29 - Windows: (No nightly builds available yet)
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| /external/tensorflow/tensorflow/c/ |
| D | README.md | 4 - Nightly builds:
5 …- [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package…
6 …- [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libt…
7 …- [MacOS CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package…
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| /external/tensorflow/tensorflow/tools/dockerfiles/partials/ |
| D | tensorflow-ppc64le.partial.Dockerfile | 4 # tf-nightly
5 # tf-nightly-gpu
17 elif [ ${TF_PACKAGE} = tf-nightly-gpu ]; then \
21 elif [ ${TF_PACKAGE} = tf-nightly ]; then \
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| D | tensorflow.partial.Dockerfile | 4 # tf-nightly
5 # tf-nightly-gpu
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| /external/autotest/test_suites/ |
| D | control.ent-nightly | 6 NAME = "ent-nightly"
14 This suite runs Enterprise tests which should run on nightly, across
21 args_dict['name'] = 'ent-nightly'
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| /external/tensorflow/tensorflow/tools/dockerfiles/dockerfiles/ppc64le/ |
| D | cpu-ppc64le.Dockerfile | 48 # tf-nightly
49 # tf-nightly-gpu
61 elif [ ${TF_PACKAGE} = tf-nightly-gpu ]; then \
65 elif [ ${TF_PACKAGE} = tf-nightly ]; then \
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| D | cpu-ppc64le-jupyter.Dockerfile | 48 # tf-nightly
49 # tf-nightly-gpu
61 elif [ ${TF_PACKAGE} = tf-nightly-gpu ]; then \
65 elif [ ${TF_PACKAGE} = tf-nightly ]; then \
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| D | gpu-ppc64le.Dockerfile | 85 # tf-nightly
86 # tf-nightly-gpu
98 elif [ ${TF_PACKAGE} = tf-nightly-gpu ]; then \
102 elif [ ${TF_PACKAGE} = tf-nightly ]; then \
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| D | gpu-ppc64le-jupyter.Dockerfile | 85 # tf-nightly
86 # tf-nightly-gpu
98 elif [ ${TF_PACKAGE} = tf-nightly-gpu ]; then \
102 elif [ ${TF_PACKAGE} = tf-nightly ]; then \
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| /external/llvm/docs/ |
| D | TestSuiteMakefileGuide.rst | 250 For example, the LLVM nightly tester uses ``TEST.nightly.Makefile`` to
251 create the nightly test reports. To run the nightly tests, run
252 ``gmake TEST=nightly``.
272 (depending on which sometest you use). For example, the ``nightly`` test
290 "``gmake TEST=nightly report``" should work), it is really easy to run
293 base, this is how the nightly tester works, it's just one example of a
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| /external/swiftshader/third_party/llvm-7.0/llvm/docs/ |
| D | TestSuiteMakefileGuide.rst | 250 For example, the LLVM nightly tester uses ``TEST.nightly.Makefile`` to
251 create the nightly test reports. To run the nightly tests, run
252 ``gmake TEST=nightly``.
272 (depending on which sometest you use). For example, the ``nightly`` test
290 "``gmake TEST=nightly report``" should work), it is really easy to run
293 base, this is how the nightly tester works, it's just one example of a
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| /external/tensorflow/tensorflow/tools/ci_build/ |
| D | update_version.py | 21 # ./tensorflow/tools/ci_build/update_version.py --nightly
85 version_type: version parameter ((REGULAR|NIGHTLY)_VERSION)
286 nightly: Create a nightly tag with current date
298 parser.add_argument("--nightly",
307 if args.nightly:
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| /external/bcc/ |
| D | INSTALL.md | 55 The stable and the nightly packages are built for Ubuntu Xenial (16.04), Ubuntu Artful (17.10) and …
67 **Nightly Packages**
70 echo "deb [trusted=yes] https://repo.iovisor.org/apt/xenial xenial-nightly main" | sudo tee /etc/ap…
87 **Nightly Packages**
89 Nightly bcc binary packages for Fedora 25, 26, 27, and 28 are hosted at
90 `https://repo.iovisor.org/yum/nightly/f{25,26,27}`.
94 echo -e '[iovisor]\nbaseurl=https://repo.iovisor.org/yum/nightly/f27/$basearch\nenabled=1\ngpgcheck…
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| /external/llvm/test/CodeGen/ARM/ |
| D | 2010-04-15-ScavengerDebugValue.ll | 19 !2 = !DIFile(filename: "libgcc2.c", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build/…
20 !12 = !DIFile(filename: "libgcc2.c", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build…
25 !7 = !DIFile(filename: "libgcc2.h", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build/…
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| /external/tensorflow/tensorflow/contrib/android/ |
| D | README.md | 14 [nightly Android build artifacts](https://ci.tensorflow.org/view/Nightly/job/nightly-android/)
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| /external/swiftshader/third_party/llvm-7.0/llvm/test/CodeGen/ARM/ |
| D | 2010-04-15-ScavengerDebugValue.ll | 19 !2 = !DIFile(filename: "libgcc2.c", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build/…
20 !12 = !DIFile(filename: "libgcc2.c", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build…
25 !7 = !DIFile(filename: "libgcc2.h", directory: "/Users/bwilson/local/nightly/test-2010-04-14/build/…
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| /external/tensorflow/tensorflow/lite/g3doc/r2/convert/ |
| D | python_api.md | 218 ### Installing the TensorFlow 2.0 nightly <a name="2.0-nightly"></a>
220 The TensorFlow 2.0 nightly can be installed using the following command:
223 pip install tf-nightly-2.0-preview
249 either install the nightly build with
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| /external/swiftshader/third_party/LLVM/test/CodeGen/ARM/ |
| D | 2010-04-15-ScavengerDebugValue.ll | 17 !2 = metadata !{i32 524329, metadata !"libgcc2.c", metadata !"/Users/bwilson/local/nightly/test-201…
18 …05, i32 0, i32 1, metadata !"libgcc2.c", metadata !"/Users/bwilson/local/nightly/test-2010-04-14/b…
22 !7 = metadata !{i32 524329, metadata !"libgcc2.h", metadata !"/Users/bwilson/local/nightly/test-201…
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| /external/python/dateutil/ |
| D | .travis.yml | 10 - "nightly"
22 - python: "nightly"
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