Web Reference: For correctness, tf.while_loop() strictly enforces shape invariants for the loop variables. A shape invariant is a (possibly partial) shape that is unchanged across the iterations of the loop. I'm facing a problem where the gradients are None while implementing SimpleRNN using subclassing. I'm wondering whether I need symbolic loop or can I manage without it? Jan 16, 2026 · In this blog, we’ll demystify this warning: why it occurs, common triggers, and actionable solutions to resolve it. By the end, you’ll understand how to optimize your data augmentation workflow for speed, reliability, and compatibility with TensorFlow’s graph execution.
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