Add release note.
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`tf.while_loop`, and compositions like `tf.foldl`) computed with
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`tf.while_loop`, and compositions like `tf.foldl`) computed with
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`tf.GradientTape` inside a `tf.function`.
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`tf.GradientTape` inside a `tf.function`.
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* 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.
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* 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.
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* Extended `tf.config.experimental.enable_tensor_float_32_execution` to control Tensor-Float-32 evaluation in RNNs.
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* `tf.summary`:
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* `tf.summary`:
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* New `tf.summary.graph` allows manual write of TensorFlow graph
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* New `tf.summary.graph` allows manual write of TensorFlow graph
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