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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/experimental/filesystem/plugins/gcs/cleanup.h
: released_(src.is_released()), f_(src.release()) {} // Implicitly move-constructible from any compatible Cleanup<G>. // The source will be released as if src.release() were called. // A moved-from Cleanup can be safely destroyed or reassigned. template <typename G> Cleanup(Cleanup<G>&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {}
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.h
/// For documentation on these methods, consult `core/platform/filesystem.h`. namespace tensorflow { // TODO(b/143949615): After all filesystems are converted, this file will be // moved to core/platform, and this class can become a singleton and replace the // need for `Env::Default()`. At that time, we might decide to remove the need // for `Env::Default()` altogether, but that's a different project, not in
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
RELEASE.md
* `tfl.scatter_nd` now supports I1 for the `update` arg. * Upgrade Flatbuffers v2.0.5 from v1.12.0 * `tf.keras`: * `EinsumDense` layer is moved from experimental to core. Its import path is moved from `tf.keras.layers.experimental.EinsumDense` to `tf.keras.layers.EinsumDense`. * Added `tf.keras.utils.audio_dataset_from_directory` utility to easily
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
} if (execution_state_ == ExecutionState::kShuttingDown) { return; } else if (execution_state_ == ExecutionState::kReadyToExecute) { // op_outputs_ may have been std::moved op_outputs_ = std::vector<TensorHandlePtr>(); Execute(context_, operation_name_, std::move(op_inputs_), attributes_, expected_max_outputs_, &op_outputs_, status_.get());
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