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CODE_OF_CONDUCT.md
## Conflict Resolution
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal. test:nonpip_filters --test_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310 test:nonpip_filters --build_tag_filters=-no_oss,-oss_serial,-gpu,-tpu,-benchmark-test,-v1only,-no_aarch64,-no_oss_py38,-no_oss_py39,-no_oss_py310
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
# define hidden_def(name) __hidden_ver1(__GI_##name, name, name); @@ -541,7 +550,8 @@ for linking") # define __hidden_nolink1(local, internal, name, version) \ __hidden_nolink2 (local, internal, name, version) # define __hidden_nolink2(local, internal, name, version) \ - extern __typeof (name) internal __attribute__ ((alias (#local))); \ + extern __typeof (name) internal __attribute__ ((alias (#local))) \
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
--experimental_cc_shared_library \ --@local_config_cuda//:enable_cuda \ "somepath(//tensorflow/tools/pip_package:build_pip_package, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\
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ci/official/containers/linux_arm64/Dockerfile
RUN wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://github.com/bazelbuild/buildtools/releases/download/4.2.5/buildozer-linux-arm64 -O /usr/local/bin/buildozer && chmod +x /usr/local/bin/buildozer RUN groupadd -g 1001 buildslave && useradd -m -u 1001 -g buildslave buildslave RUN mkdir -p /tf/venv
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tensorflow/c/eager/immediate_execution_distributed_manager.h
class ServerDef; class WorkerEnv; class WorkerCacheInterface; class ImmediateExecutionDistributedManager { public: virtual ~ImmediateExecutionDistributedManager() {} // Set up distributed execution environment on local and remote tasks. // When `reset_context` is true, initialize new cluster context state based // on cluster configurations provided in `server_def`; otherwise, update
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tensorflow/c/experimental/filesystem/plugins/windows/windows_filesystem.cc
#include "tensorflow/c/experimental/filesystem/filesystem_interface.h" #include "tensorflow/c/tf_status.h" // Implementation of a filesystem for POSIX environments. // This filesystem will support `file://` and empty (local) URI schemes. static void* plugin_memory_allocate(size_t size) { return calloc(1, size); } static void plugin_memory_free(void* ptr) { free(ptr); } // SECTION 1. Implementation for `TF_RandomAccessFile`
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its // destructor. The easiest way to use MakeCleanup is with a lambda argument, // capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example: // void func() { // FILE* fp = fopen("data.txt", "r"); // if (fp == nullptr) return;
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tensorflow/c/experimental/gradients/nn_grad.cc
// Grad for Softmax Input TF_RETURN_IF_ERROR(BroadcastMul( ctx, grad_outputs[0], forward_outputs_[1], grad_inputs.subspan(0, 1))); // upstream_grad * local softmax grad // Grad for labels is null grad_inputs[1] = nullptr; return absl::OkStatus(); } ~SparseSoftmaxCrossEntropyWithLogitsGradientFunction() override {} private:
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tensorflow/api_template.__init__.py
# API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works. # We're using bitwise, but there's nothing special about that. _API_MODULE = _sys.modules[__name__].bitwise _tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__)) _current_module = _sys.modules[__name__] if not hasattr(_current_module, "__path__"):
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