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RELEASE.md
`tf.GradientTape` inside a `tf.function`. * Changed the default step size in `gradient_checker_v2.compute_gradients` to be exactly representable as a binary floating point numbers. This avoids poluting gradient approximations needlessly, which is some cases leads to false negatives in op gradient tests. * Added `tf.config.experimental.get_memory_info`, returning a dict with
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