[BUG] Bug resolved in Aeabgru for temporal_latent_space=True

[lucifer4073]

Reference Issues/PRs

Fixes #2560

What does this implement/fix? Explain your changes.

The given PR resolved the error thrown in AEAttentionBiGRUNetwork when temporal_latent_space was set to True.

Does your contribution introduce a new dependency? If yes, which one?

No

Any other comments?

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[hadifawaz1999]

Thank you for fixing this, but the actual fix should be:

x = tf.keras.layers.Conv1D(filters=self.latent_space_dim, kernel_size=1)(x)
shape_before_flatten = x.shape[1:]

and not:

shape_before_flatten = x.shape[1:]
x = tf.keras.layers.Conv1D(filters=self.latent_space_dim, kernel_size=1)(x)

to take the last shape of the encoder not the previous one.

Could you close this PR and do the fix on the PR where you added the test ? it will just make it less confusing to review.

[lucifer4073]

Hi @hadifawaz1999,

Thanks for the response. I will close this PR and make the changed accordinly in #2540.