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tensorflow/BUILD
build_setting_default = if_oss(True, False), visibility = ["//visibility:private"], ) # Setting to use when loading kernels dynamically config_setting( name = "dynamic_loaded_kernels", define_values = { "dynamic_loaded_kernels": "true", "framework_shared_object": "true", }, visibility = ["//visibility:public"], ) config_setting( name = "using_rocm_hipcc",
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RELEASE.md
* Discussion for these changes can be found on SIG Build's [TensorFlow Community Forum thread](https://discuss.tensorflow.org/t/tensorflow-linux-wheels-are-being-upgraded-to-manylinux2014/8339) * The `tf.keras.mixed_precision.experimental` API has been removed. The non-experimental symbols under `tf.keras.mixed_precision` have been available since TensorFlow 2.4 and should be used instead.
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.bazelrc
# Cache pushes are limited to TF's CI system. build:tf_public_cache_push --config=tf_public_cache --remote_upload_local_results=true --google_default_credentials # Public cache for macOS builds build:tf_public_macos_cache --remote_cache="https://storage.googleapis.com/tensorflow-macos-bazel-cache/oct2023" --remote_upload_local_results=false
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tensorflow/c/c_api_experimental.cc
static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED); static std::unordered_map<std::string, void*>* loaded_libs = new std::unordered_map<std::string, void*>(); tensorflow::Env* env = tensorflow::Env::Default(); { tensorflow::mutex_lock lock(mu); auto it = loaded_libs->find(library_filename); if (it != loaded_libs->end()) { lib_handle->lib_handle = it->second; } else { status->status =
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