enable changing the underlying storage there.
    *   The following Python symbols were accidentally added in earlier versions
        of TensorFlow and now are removed. Each symbol has a replacement that
        should be used instead, but note the replacement's argument names are
        different.
        *   `tf.quantize_and_dequantize_v4` (accidentally introduced in
            TensorFlow 2.4): Use `tf.quantization.quantize_and_dequantize_v2`

**A note about the source attribute:**

TensorArray gradient calls use an accumulator TensorArray object.  If
multiple gradients are calculated and run in the same session, the multiple
gradient nodes may accidentally flow through the same accumulator TensorArray.
This double counts and generally breaks the TensorArray gradient flow.

The solution is to identify which gradient call this particular