Fix JaxRuntimeError

✅ Solution

JaxRuntimeError often arises from inconsistencies between JAX's device context (GPU/TPU) and TensorFlow's, especially when using TF datasets or interoperating with TF code. Ensure JAX's device is initialized *before* any TensorFlow operations that might implicitly initialize a different device; try calling `jax.default_backend()` or `jax.devices()` early in your program to force JAX device initialization. Additionally, setting `TF_FORCE_UNIFIED_MEMORY=1` might resolve conflicts by enforcing memory allocation compatibility between JAX and TensorFlow.