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ci/official/requirements_updater/README.md
`release_updater.sh` 5) Run the `updater.sh` shell script. \ If the base requirements file hasn't yet been updated to account for the new Python version, which will require different versions for at least some dependencies, it will need to be updated now, for the script to run successfully. 6) A new `requirements_lock_3_11.txt` file should appear under the root of the
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ci/official/containers/linux_arm64/builder.patchelf/build_patchelf.sh
mkdir -p /patchelf cd /patchelf echo deb-src http://ports.ubuntu.com/ubuntu-ports/ jammy universe>>/etc/apt/sources.list apt-get update apt-get -y build-dep patchelf/jammy apt-get -b source patchelf/jammy
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 15:53:15 GMT 2023 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) {
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ci/official/utilities/cleanup_summary.sh
# and don't print duplicates awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq } # Print out any ResultStore URLs for Bazel invocations' results. # Each failed target there will have its own representation, making failures # easier to find and read. function resultstore_extract { local \ XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml" python3 \
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
/// `max_age` is also 0, the cache will not be populated). ExpiringLRUCache(uint64_t max_age, size_t max_entries, std::function<uint64_t()> timer_seconds = TF_NowSeconds) : max_age_(max_age), max_entries_(max_entries), timer_seconds_(timer_seconds) {} /// Insert `value` with key `key`. This will replace any previous entry with /// the same key.
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ci/official/wheel_test/update_requirements.sh
# ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history
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.github/workflows/release-branch-cherrypick.yml
# and click "Run Workflow." Leave "Use Workflow From" set to "master", then # input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks
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tensorflow/c/eager/gradients.cc
// TODO(srbs): It seems like this is used only for performance optimization // and not for correctness. The only downside of keeping this 1 seems to be // that the gradient accumulation is unbounded and we will never // aggressively aggregate accumulated gradients to recover memory. // Revisit and fix. return 1; } // Consumes references to the tensors in the gradient_tensors list and returns
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ci/official/requirements_updater/requirements.in
lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch
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tensorflow/c/eager/immediate_execution_context.h
enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. DEVICE_PLACEMENT_WARN = 1, // Silently copy the tensor, which has a performance cost since the operation // will be blocked till the copy completes. This is the default policy. DEVICE_PLACEMENT_SILENT = 2,
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