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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false
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tensorflow/c/eager/c_api_test.cc
const tensorflow::ServerDef& cluster_server_def, int task_index) { tensorflow::ServerDef single_host_server_def; single_host_server_def.set_job_name("worker"); single_host_server_def.set_protocol(cluster_server_def.protocol()); single_host_server_def.set_task_index(0); tensorflow::ClusterDef* cluster_def = single_host_server_def.mutable_cluster(); tensorflow::JobDef* job_def = cluster_def->add_job();
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tensorflow/c/eager/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* on_host = TFE_TensorHandleCopyToDevice(copy_aliased, ctx, "CPU:0", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_Tensor* resolved = TFE_TensorHandleResolve(on_host, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); const float* resolved_data =
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ci/official/debug_tfci.sh
# limitations under the License. # ============================================================================== # This script dumps some information about the environment. It's most useful # for verifying changes to the TFCI scripts system, and most users won't need # to interact with it at all. source "${BASH_SOURCE%/*}/utilities/setup.sh" echo "==TFCI== env outside of tfrun:" env echo "==TFCI== env inside of tfrun:"
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
"\nNOTE: This is a --config=pip test. Remove 'bazel_pip' to find" " the file." ) n_failures = seen[key] p.text += f"\nNOTE: Number of failures for this test: {seen[key]}." p.text += "\n Most TF jobs run tests three times to root out flakes." if seen[key] == 3: p.text += ( "\n Since there were three failures, this is not flaky, and it" )
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 19:00:37 GMT 2023 - 4.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
tensorflow::ServerDef ReplaceTaskInServerDef( const tensorflow::ServerDef& server_def, int task_index); void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index, const std::string& host, int port); std::vector<std::string> ListDeviceNames(TFE_Context* ctx);
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tensorflow/c/c_api.h
#include "tensorflow/c/tf_tstring.h" // -------------------------------------------------------------------------- // C API for TensorFlow. // // The API leans towards simplicity and uniformity instead of convenience // since most usage will be by language specific wrappers. // // Conventions: // * We use the prefix TF_ for everything in the API. // * Objects are always passed around as pointers to opaque structs
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configure.py
environ_cp, var_name='GCC_HOST_COMPILER_PATH', var_default=default_gcc_host_compiler_path, ask_for_var='Please specify which gcc should be used by nvcc as the host ' 'compiler.', check_success=os.path.exists, resolve_symlinks=True, error_msg='Invalid gcc path. %s cannot be found.', ) write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path)
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.bazelrc
# Set execution platform to Linux x86 # Note: Lot of the "host_" flags such as "host_cpu" and "host_crosstool_top" # flags seem to be actually used to specify the execution platform details. It # seems it is this way because these flags are old and predate the distinction # between host and execution platform. build:cross_compile_base --host_cpu=k8
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