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ci/official/envs/disk_cache
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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ci/official/bisect.sh
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1.8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# This bazelrc can build a CPU-supporting TF package. # Convenient cache configurations # Use a cache directory mounted to /tf/cache. Very useful! build:sigbuild_local_cache --disk_cache=/tf/cache # Use the public-access TF DevInfra cache (read only) build:sigbuild_remote_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/manylinux2014" --remote_upload_local_results=false
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tensorflow/c/eager/c_api_test.cc
TFE_ContextAddFunctionDef(ctx, function_def.data(), function_def.size(), status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); for (bool clear_cache : {true, false, true}) { if (clear_cache) { TFE_ContextClearCaches(ctx); } TFE_TensorHandle* m = TestMatrixTensorHandle(ctx); TFE_TensorHandle* retval[1] = {nullptr}; int num_retvals = 1;
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ci/official/any.sh
# Any request that includes "nightly_upload" should just use the # local multi-cache (public read-only cache + disk cache) instead. export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')" if [[ -n "${TF_ANY_EXTRA_ENV:-}" ]]; then export TFCI="$TFCI,$TF_ANY_EXTRA_ENV" fi if [[ -n "${TF_ANY_SCRIPT:-}" ]]; then "$TF_ANY_SCRIPT" elif [[ -n "${TF_ANY_TARGETS:-}" ]]; then
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ci/official/envs/nightly_upload
TFCI_NIGHTLY_UPDATE_VERSION_ENABLE=1 # 3. Push results to public build cache (unique cache for MacOS) if [[ $(uname -s) == "Darwin" ]]; then TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache_push" else TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache_push"
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.github/workflows/sigbuild-docker-branch.yml
gcr.io/tensorflow-sigs/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }} cache-from: type=registry,ref=tensorflow/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }} cache-to: type=inline - name: Image digest
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ci/official/containers/linux_arm64/build.sh
else TAG="pr-${KOKORO_GITHUB_PULL_REQUEST_NUMBER}" fi fi # Build for both JAX and TF usage. We do these in one place because they share # almost all of the same cache layers export DOCKER_BUILDKIT=1 for target in jax tf; do IMAGE="gcr.io/tensorflow-sigs/build-arm64:$target-$TAG" docker pull "$IMAGE" || true # Due to some flakiness of resources pulled in the build, allow the docker
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ci/official/envs/public_cache
# Sourcing this enables Bazel remote cache (public, read-only) # The cache configs are different for MacOS and Linux if [[ $(uname -s) == "Darwin" ]]; then TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_macos_cache" else TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config tf_public_cache"
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