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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1
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ci/official/envs/versions_upload
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
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tensorflow/c/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a BiasAdd: A + bias, the gradients are: * * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad);
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tensorflow/c/eager/c_api_unified_experimental.cc
return nullptr; } } // end namespace tracing } // end namespace tensorflow // ============================================================================= // Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ __attribute_copy__ (name); /* This comes between the return type and function name in a function definition to make that definition weak. */ @@ -125,14 +131,16 @@ If weak aliases are not available, this defines a strong alias. */ # define weak_alias(name, aliasname) _weak_alias (name, aliasname) # define _weak_alias(name, aliasname) \ - extern __typeof (name) aliasname __attribute__ ((weak, alias (#name)));
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ci/official/README.md
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh # First, set your TFCI variable to choose the environment settings. # TFCI is a comma-separated list of filenames from the envs directory, which # are all settings for the scripts. TF's CI jobs are all made of a combination # of these env files. # # If you've clicked on a test result from our CI (via a dashboard or GitHub link),
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.github/bot_config.yml
# Cuda Comment cuda_comment: > From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries: * For TF-GPU - See point 1 * For TF-CPU - See point 2 ----------------------------------------------------------------------------------------------- **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions.
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
- Google Play Services version (`Settings` > `Apps` > `Google Play Services` > `App details`): **Standalone code to reproduce the issue** Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem.
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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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