ModuleHookTensorMeta

Minimal tensor metadata snapshot retained by the hook barriers.

The barrier nodes capture only Shape / Dtype / Device at wrap time so that incoming Storage gradients can later be rehydrated into a proper TensorImpl when crossing into Python user code (which expects Tensor objects, not raw buffers). Keeping the data tensor itself out of the state avoids keeping the forward outputs alive any longer than the normal autograd path would.