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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
break; } // We need to make a copy of the filename here, since it could otherwise // be used within RemoveFile_Locked after `it` is deleted. RemoveFile_Locked(std::string(it->first.first)); } } } void RamFileBlockCache::Flush() { absl::MutexLock lock(&mu_); block_map_.clear(); lru_list_.clear(); lra_list_.clear(); cache_size_ = 0; }
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.github/workflows/arm-ci-extended-cpp.yml
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ci/official/envs/linux_arm64
# despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output
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.github/workflows/arm-cd.yml
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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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requirements_lock_3_10.txt
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> 1712896733 +0000
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tensorflow/c/eager/c_api.h
TFE_DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. TFE_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 placement // policy. TFE_DEVICE_PLACEMENT_SILENT = 2, // Placement policy which silently copies int32 tensors but not other dtypes. TFE_DEVICE_PLACEMENT_SILENT_FOR_INT32 = 3,
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.github/workflows/arm-ci.yml
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ci/official/envs/rbe
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ci/official/envs/linux_x86_cuda
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
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