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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1 # Use lld as the linker build --linkopt="-fuse-ld=lld" build --linkopt="-lm"
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); server_def.set_task_index(2); std::unique_ptr<tensorflow::GrpcServer> worker_server2; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server2) .ok());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
configure.py
def maybe_encode_env(env): """Encodes unicode in env to str on Windows python 2.x.""" if not is_windows() or sys.version_info[0] != 2: return env for k, v in env.items(): if isinstance(k, unicode): k = k.encode('ascii') if isinstance(v, unicode): v = v.encode('ascii') env[k] = v return env cuda_libraries = ['cuda', 'cudnn']
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
ci/official/envs/linux_arm64
TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" 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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tensorflow/c/experimental/filesystem/BUILD
visibility = ["//visibility:public"], deps = [ ":filesystem_interface", "//tensorflow/c:tf_status_helper", "//tensorflow/c:tf_status_internal", "//tensorflow/core/platform:env", "//tensorflow/core/platform:errors", "//tensorflow/core/platform:status", "@local_tsl//tsl/platform:errors", ], ) # Compliance test for modules and for interface tf_cc_test(
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tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
linkstatic = 1, deps = [ "//tensorflow/c:env", ], ) cc_library( name = "cleanup", hdrs = ["cleanup.h"], ) cc_library( name = "ram_file_block_cache", srcs = ["ram_file_block_cache.cc"], hdrs = ["ram_file_block_cache.h"], deps = [ ":cleanup", "//tensorflow/c:env", "//tensorflow/c:logging", "//tensorflow/c:tf_status",
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tensorflow/c/experimental/grappler/grappler.cc
creator, device_type, configs); } #undef CONFIG_TOGGLE absl::Status InitGraphPlugin(void* dso_handle) { tsl::Env* env = tsl::Env::Default(); // Step 1: Load symbol for `TF_InitPlugin` void* dso_symbol; TF_RETURN_IF_ERROR( env->GetSymbolFromLibrary(dso_handle, "TF_InitGraph", &dso_symbol)); // Step 2: Call `TF_InitPlugin`
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
.bazelrc
build:rbe_linux_cuda --repo_env=REMOTE_GPU_TESTING=1 build:rbe_linux_cuda --repo_env=TF_CUDA_CONFIG_REPO="@sigbuild-r2.17-clang_config_cuda" build:rbe_linux_cuda --repo_env=TF_TENSORRT_CONFIG_REPO="@sigbuild-r2.17-clang_config_tensorrt" build:rbe_linux_cuda --repo_env=TF_NCCL_CONFIG_REPO="@sigbuild-r2.17-clang_config_nccl" test:rbe_linux_cuda --test_env=LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
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ci/official/requirements_updater/README.md
To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ``` export TF_PYTHON_VERSION=3.11 ``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python.
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ci/official/envs/linux_arm64_onednn
# limitations under the License. # ============================================================================== source ci/official/envs/linux_arm64
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