failure-to-thrive comments

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                                            failure-to-thrive

tfa.metrics.RSquare: ValueError: Shapes must be equal rank, but are 0 and 1 for 'AssignAddVariableOp' (op: 'AssignAddVariableOp') with input shapes: [], [1].

The correct line of code: ``` result = tfa.metrics.RSquare(dtype=tf.float32, y_shape=(1,)) ``` https://github.com/tensorflow/addons/pull/1310 provides a bit more info why.

tfa.metrics.RSquare: ValueError: Shapes must be equal rank, but are 0 and 1 for 'AssignAddVariableOp' (op: 'AssignAddVariableOp') with input shapes: [], [1].

Guys, please create a New Issue strictly following the guidelines to provide us a code to reproduce the issue, TF/TFA versions, etc. If you feel your issue somehow related to...

tfa.metrics.F1Score gives ValueError for binary classification with shape (n,)

To sum up: there should be `CategoricalF1Score` name and the `num_classes` argument should be eliminated. `BinaryF1Score` and `F1Score` might be another additions.

Errors when using tf.keras.Input & tfa.seq2seq in eager mode

Due to cross-interactions between Graph tensors and Python code flow deep inside TensorFlow, as a quick workaround you have to switch back into the Graph mode with `tf.compat.v1.disable_eager_execution()`.

Errors when using tf.keras.Input & tfa.seq2seq in eager mode

@hccho2 Seems not your.