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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:tfe_context_internal", "//tensorflow/core:framework", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/common_runtime/eager:context", ], ) cc_library( name = "parallel_device_testlib", testonly = 1, srcs = ["parallel_device_testlib.cc"],
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014 build --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain"
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ci/official/containers/linux_arm64/setup.sources.sh
# More Python versions: Deadsnakes deb http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal main deb-src http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal main # LLVM/Clang 17 repository deb http://apt.llvm.org/focal/ llvm-toolchain-focal-17 main deb-src http://apt.llvm.org/focal/ llvm-toolchain-focal-17 main
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
tmp_dir=$(mktemp -d) cp "${src_jar}" "${tmp_dir}/orig.jar" pushd "${tmp_dir}" # Extract any src/ files jar -xf "${tmp_dir}/orig.jar" src/ # Extract any org/ files under src/main/java (mkdir -p src/main/java && cd src/main/java && jar -xf "${tmp_dir}/orig.jar" org/) # Repackage src/ jar -cMf "${tmp_dir}/new.jar" src popd cp "${tmp_dir}/new.jar" "${dest_jar}" rm -rf "${tmp_dir}" } DIR=$1
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ci/official/utilities/repack_libtensorflow.sh
tmp_dir=$(mktemp -d) cp "${src_jar}" "${tmp_dir}/orig.jar" pushd "${tmp_dir}" # Extract any src/ files jar -xf "${tmp_dir}/orig.jar" src/ # Extract any org/ files under src/main/java (mkdir -p src/main/java && cd src/main/java && jar -xf "${tmp_dir}/orig.jar" org/) # Repackage src/ jar -cMf "${tmp_dir}/new.jar" src popd cp "${tmp_dir}/new.jar" "${dest_jar}" rm -rf "${tmp_dir}" } DIR=$1
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tensorflow/c/experimental/gradients/BUILD
"//tensorflow/c/experimental/ops", "//tensorflow/compiler/mlir/tensorflow/c:mlir_c_api_registration", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/platform:errors", ], ) filegroup( name = "pywrap_required_hdrs", srcs = [ "array_grad.h", "math_grad.h", "nn_grad.h",
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ci/official/pycpp.sh
fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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ci/official/utilities/cleanup_summary.sh
# limitations under the License. # ============================================================================== set -euxo pipefail function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you can view more detailed results that are probably easier to read than this log. Try the links below: EOF
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tensorflow/c/experimental/filesystem/BUILD
visibility = ["//visibility:public"], deps = [ "//tensorflow/c:tf_file_statistics", "//tensorflow/c:tf_status", ], ) # Core TensorFlow depends on this, will be included in main library cc_library( name = "modular_filesystem", srcs = [ "modular_filesystem.cc", "modular_filesystem_registration.cc", ], hdrs = [ "modular_filesystem.h",
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tensorflow/c/c_test.c
TF_Tensor* input; TF_Status* s = TF_NewStatus(); TF_GetInput(ctx, 0, &input, s); TF_DeleteTensor(input); TF_DeleteStatus(s); } // Exercises tensorflow's C API. int main(int argc, char** argv) { TF_InitMain(argv[0], &argc, &argv); struct TF_StringStream* s = TF_GetLocalTempDirectories(); const char* path; if (!TF_StringStreamNext(s, &path)) {
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