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RELEASE.md
* To verify if oneDNN optimizations are on, look for a message with *"oneDNN custom operations are on"* in the log. If the exact phrase is not there, it means they are off. * Making the `tf.function` type system fully available: * `tf.types.experimental.TraceType` now allows custom tf.function inputs to declare Tensor decomposition and type casting support.
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// run and have results. If is_async=true it means that all of the // device-specific executors have scheduled the op. // // Accepts inferred shapes for outputs (`expected_output_shapes`), which if // fully defined will avoid querying the shapes of the underlying // TensorHandles when ParallelTensor::Shape is called. This allows async // computation to continue without blocking. //
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
underlying_devices_[component_index], underlying_devices_[0])) { // Device names are from different address spaces, or we can't figure out // whether they are, so we'll fully-qualify everything. return underlying_devices_; } } std::vector<std::string> local_names; local_names.reserve(underlying_devices_.size()); for (const DeviceNameUtils::ParsedName& parsed_component :
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