tf. now supports tf.data.UNKNOWN_CARDINALITY When doing a "full shuffle" using dataset = dataset.shuffle(dataset.cardinality()).tf. now supports Python-style zipping, i.e.Added a new boolean argument allow_fast_lookup to tf.nn.embedding_lookup_sparse and tf.nn.safe_embedding_lookup_sparse, which enables a simplified and typically faster lookup procedure.tf.nn.embedding_lookup_sparse and tf.nn.safe_embedding_lookup_sparse now support ids and weights described by tf.RaggedTensors.This can cause breakages where existing calls pass Tensors with the wrong shape or omit certain non-Tensor arguments (including default values). ConcreteFunction ( tf.) as generated through get_concrete_function now performs holistic input validation similar to calling tf.function directly.add_op supports broadcasting up to 6 dimensions.
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