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tensorflow/c/eager/tfe_monitoring_internal.h
struct TFE_MonitoringBuckets { explicit TFE_MonitoringBuckets( std::function<std::unique_ptr<tensorflow::monitoring::Buckets>(void)> fn) { create_buckets = fn; } std::function<std::unique_ptr<tensorflow::monitoring::Buckets>(void)> create_buckets; }; struct TFE_MonitoringSamplerCell { tensorflow::monitoring::SamplerCell cell; }; template <int NumLabels>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 5.2K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
# Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" # # This will create a venv with that wheel file installed in it, and a symlink # in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the # "pip" tests. python -m venv /$1 mkdir -p $1 rm -f ./$1/tensorflow
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// TF_Tensor). TF_CAPI_EXPORT extern TF_Tensor* TFE_TensorHandleResolve(TFE_TensorHandle* h, TF_Status* status); // Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/c_api.cc
export_dir, tag_set, &bundle); if (!status->status.ok()) return nullptr; // Create a TF_Graph from the MetaGraphDef. This is safe as long as Session // extends using GraphDefs. The Graph instance is different, but equivalent // to the one used to create the session. // // TODO(jhseu): When Session is modified to take Graphs instead of
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ci/official/wheel_test/update_requirements.sh
PYTHON_VERSION="$2" # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" cd ../requirements_updater || exit 1 # Create the requirements_wheel_test.in file echo "tensorflow @ file://localhost/$TENSORFLOW_WHEEL_PATH" > requirements_wheel_test.in # Create the requirements_lock file REQUIREMENTS_LOCK_FILE="requirements_lock_${PYTHON_VERSION}.txt" touch "$REQUIREMENTS_LOCK_FILE"
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 31 18:17:57 GMT 2023 - 1.9K bytes - Viewed (0) -
.github/workflows/release-branch-cherrypick.yml
echo "TITLE=$(git log -1 ${{ github.event.inputs.git_commit }} --format="%s")" >> "$GITHUB_OUTPUT" - name: Create Pull Request with changes uses: peter-evans/create-pull-request@2b011faafdcbc9ceb11414d64d0573f37c774b04 # v4.2.3 with:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func, TF_DataType dtype, TF_Shape shape, TF_Status* s); // Create an operation suitable to use with the provided context. The operation // requires its type (e.g. "AddV2") to be set independently. TF_AbstractOp* TF_NewAbstractOp(TF_ExecutionContext* ctx); void TF_DeleteAbstractOp(TF_AbstractOp*);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
ci/official/README.md
export TFCI=py311,linux_x86,public_cache,disk_cache # Recommended: Configure Docker. (Linux only) # # TF uses hub.docker.com/r/tensorflow/build containers for CI, # and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
--with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \ --with-gcc-major-version-only \ --with-linker-hash-style="gnu" \ && \ make -j$(nproc) && \ make install # Create the devtoolset libstdc++ linkerscript that links dynamically against # the system libstdc++ 4.4 and provides all other symbols statically. # Note that the installation path for libstdc++ here is ${TARGET}/usr/lib64/
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CONTRIBUTING.md
test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799). 2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts. ```bash
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