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CONTRIBUTING.md
```bash tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh ``` This will catch most license, Python coding style and BUILD file issues that may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the
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tensorflow/c/BUILD
":tf_attrtype", "//tensorflow/core:core_cpu", "//tensorflow/core:framework", "//tensorflow/core:lib", "//tensorflow/core/platform:platform", ], "//conditions:default": [ ":tf_attrtype", "//tensorflow/core:core_cpu", "//tensorflow/core:framework", "//tensorflow/core:lib",
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tensorflow/c/c_api_experimental.cc
flags->tf_xla_cpu_global_jit = true; flags->tf_xla_min_cluster_size = 1; } else { optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::OFF); } auto* gpu_options = config.mutable_gpu_options(); gpu_options->set_allow_growth(gpu_memory_allow_growth); (*config.mutable_device_count())["CPU"] = num_cpu_devices;
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tensorflow/c/eager/BUILD
"//tensorflow/c:tf_buffer_internal", "//tensorflow/c:tf_status_internal", "//tensorflow/c:tf_tensor_internal", "//tensorflow/core:core_cpu", "//tensorflow/core:core_cpu_internal", "//tensorflow/core:framework", "//tensorflow/core:framework_internal", "//tensorflow/core:lib", "//tensorflow/core:lib_internal",
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tensorflow/c/eager/c_api_experimental.cc
(*sess_options.config.mutable_device_count())["CPU"] = num_cpus; status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else {
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tensorflow/c/eager/c_api.cc
#endif // !IS_MOBILE_PLATFORM using tensorflow::string; namespace { string DeviceName(const tensorflow::Device* d) { return (d == nullptr) ? "cpu:0" : d->name(); } // Annotate eager runtime construction context to the given `function_def` as // an attribute. void AnnotateEagerRuntimeConstructionContext( tensorflow::FunctionDef& function_def) {
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tensorflow/c/eager/tape.h
} }); if (!s.ok()) { return s; } std::unordered_map<int64_t, int64_t> gradients_size; // TODO(apassos) multiple threads could be dequeuing from op_stack at the same // time, for better CPU backprop performance. VLOG(1) << "Initial stack:"; if (VLOG_IS_ON(1)) { for (auto t : op_stack) { VLOG(1) << " " << t; } } while (!op_stack.empty()) {
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