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ci/official/utilities/get_versions.sh
export TF_VER_PATCH=$(awk '/#define TF_PATCH_VERSION/ {print $3}' tensorflow/core/public/version.h) # Note: in awk, "print $N" prints the Nth "field", where fields are strings separated # by whitespace. The flag "-F<x>" changes the behavior such that fields are now strings # separated by the character <x>. Therefore, -F\' (escaped single quote) means that field
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2.3K bytes - Viewed (0) -
tensorflow/BUILD
) # This flag enables experimental TPU support bool_flag( name = "enable_tpu_support", build_setting_default = False, ) config_setting( name = "with_tpu_support_define", define_values = {"with_tpu_support": "true"}, visibility = ["//visibility:public"], ) config_setting( name = "with_tpu_support_flag", flag_values = {":enable_tpu_support": "True"},
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ci/official/envs/rbe
That setting must exist for this script to function correctly. EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel # inside the container can authenticate. Note: TF's CI does not have any credential # stored here.
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tensorflow/c/c_api_test.cc
std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) { // Create C++ Tensor Tensor src(tensorflow::DT_STRING, TensorShape(dims)); for (int64_t i = 0; i < src.NumElements(); ++i) { src.flat<tstring>()(i) = data[i]; } TF_Tensor* dst = TF_TensorFromTensor(src, &status); ASSERT_TRUE(status.ok()) << status.message(); // Convert back to a C++ Tensor and ensure we get expected output.
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tensorflow/c/c_api_experimental.cc
// These XLA flags are needed to trigger XLA properly from C (more generally // non-Python) clients. If this API is called again with `enable` set to // false, it is safe to keep these flag values as is. tensorflow::MarkForCompilationPassFlags* flags = tensorflow::GetMarkForCompilationPassFlags(); flags->tf_xla_cpu_global_jit = true; flags->tf_xla_min_cluster_size = 1; } else {
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CONTRIBUTING.md
bazel by doing as follows: ```bash export flags="--config=opt -k" ``` If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and add the `cuda` option flag ```bash export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" export flags="--config=opt --config=cuda -k" ```
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.bazelrc
build:release_arm64_linux --config=mkl_aarch64_threadpool build:release_arm64_linux --copt=-flax-vector-conversions test:release_arm64_linux --flaky_test_attempts=3 # The old gcc linux build options are preserved in the unsupported_*_linux # configs. If your project fails to build with Clang, you can use these # unsupported flags to replace the release flags in your build command.
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tensorflow/c/BUILD
"//tensorflow/core:lib_internal", "//tensorflow/core:op_gen_lib", "//tensorflow/core:protos_all_cc", "//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", "//tensorflow/core/distributed_runtime:server_lib", "//tensorflow/core/kernels:logging_ops", "@com_google_absl//absl/strings", ], }),
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tensorflow/c/eager/BUILD
hdrs = ["tape.h"], visibility = ["//tensorflow:internal"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", "//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", ], ) filegroup( name = "headers", srcs = [ "c_api.h", "c_api_experimental.h", "dlpack.h", ],
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tensorflow/c/c_api.cc
#include "tensorflow/core/common_runtime/eval_const_tensor.h" #include "tensorflow/core/common_runtime/graph_constructor.h" #include "tensorflow/core/common_runtime/shape_refiner.h" #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h" #include "tensorflow/core/framework/allocation_description.pb.h" #include "tensorflow/core/framework/attr_value_util.h" #include "tensorflow/core/framework/cpp_shape_inference.pb.h"
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