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- Tensor size-related conditional logic ignored in `tf.function`
- Bad training loop performance with many variables when enabling XLA
- failed to set new cublas math mode: CUBLAS_STATUS_INVALID_VALUE
- [BUG] Gradient tape *inside* tf.function broken for tf.Variable argument.
- Forward-mode autodifff fails to process input in `tf.Variable` type when taking higher-order JVPs and throws `Internal error`
- Computing `jacobian` or `batch_jacobian` with `experimental_pfor=True` errors when loading a `tf.saved_model` that uses an LSTM layer
- Bazel CI Failing for Tensorflow with Bazel@HEAD
- Can't pass random value (not tensor) in tensorflow function as a parameter.
- It seems that `recompute_grad` is not saving GPU memory.
- AutoGraph cannot handle python 3.10's structural pattern matching
- C++ not yet supported