Phase T5 structural ops on top of the T4 set, needed to assemble the
tiny transformer:
- embedding: gather rows by I32 ids (CUDA kernel) / scatter-add backward
(atomic, so repeated ids accumulate). csrc/ops/model.cu + ffi.
- reshape: contiguous metadata-only view (Tensor::reshape), no kernel.
- transpose_3d01: [a,b,c]->[b,a,c] for the multi-head layout (kernel).
- autograd nodes: embedding/reshape/transpose_3d01/transpose_2d, plus
split_heads (->Vec<Var>) / merge_heads for per-head attention.
- tape: Var::zero_grad + set_value so a hand-written GD step can update
params and clear grads between steps.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Var = Rc<RefCell<VarNode>> on a define-by-run tape: value + optional grad +
parents + backward closure. backward() seeds a scalar loss, walks reverse
topo order, and pushes grads to parents. push_grad always SUMs into the grad
slot — the fan-out accumulation path T3 lacked. Per-crate build.rs emits the
no_cuda cfg (does not propagate); engine gated, grad_check stays host-only.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
