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![]() ![]() Similarly, the following signature runner functions in the TF Lite C API are no longer considered experimental: tflite::Interpreter::input_tensor_by_signature.tflite::Interpreter::GetSignatureRunner. ![]() Likewise for the following signature-related methods of tflite::Interpreter: The tflite::SignatureRunner class, which provides support for named parameters and for multiple named computations within a single TF Lite model, is no longer considered experimental. Sub_op and mul_op support broadcasting up to 6 dimensions. Moved option warm_start from tf. to tf.data.Options.See tf. documentation for how to call and use it.Can be accessed through inference_fn property of ConcreteFunctions.Introducing tf. as the fastest way to perform TF computations in Python. See the tf. documentation for more details. It can be accessed through the function_type property of tf.functions and ConcreteFunctions. Introducing tf. as the comprehensive representation of the signature of tf.function callables.tf. now allows custom tf.function inputs to declare Tensor decomposition and type casting support. ![]() Making the tf.function type system fully available: If the exact phrase is not there, it means they are off.
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