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tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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tensorflow/c/c_api.cc
// the purposes of running this graph in a session. Thus, we don't // record the source node as being modified. RecordMutation(graph, *dst.oper, "updating input tensor"); } } // Apis that are corresponding to python c api. -------------------------- void TF_AddOperationControlInput(TF_Graph* graph, TF_Operation* op, TF_Operation* input) {
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RELEASE.md
steps to [XLA](https://www.tensorflow.org/xla). Note that `jit_compile=True` may not necessarily work for all models. * Added DTensor-related Keras APIs under `tf.keras.dtensor` namespace. The APIs are still classified as experimental. You are welcome to try it out. Please check the tutorial and guide on https://www.tensorflow.org/ for more details about DTensor.
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # DO NOT ADD ANY NEW EXCEPTIONS TO THIS LIST! # Instead, please use public APIs or public build rules TF provides. # If you need functionality that is not exposed, we will work with you to expand our public APIs. # TODO(b/173549186): Move Google-internal TF code out of learning/brain package_group( name = "internal", packages = [
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.bazelrc
build:release_cpu_macos --config=avx_linux # Base build configs for macOS build:release_macos_base --action_env DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer build:release_macos_base --define=no_nccl_support=true --output_filter=^$ # Ensure release_base is set on mac build:release_macos_base --config=release_base # Build configs for macOS x86
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