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Author SHA1 Message Date
Gahow Wang
59e33f60e3 docs: Phase T4 — autograd engine 
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
 2026-06-15 15:47:43 +08:00
Gahow Wang
f3a1188f0e ops: differentiable autograd nodes + per-op grad-check tests 
ops.rs wraps each Tensor op as a Var node with its backward closure (forward
caches captured by move). swiglu = mul(silu(gate), up); attention is composed
(matmul+scale+softmax+matmul), no fused kernel. tests/autograd.rs grad-checks
every op via the L=sum(W∘out) template, plus a fan-out grad-accumulation test
(dL/dx=4x) and an end-to-end composed-attention grad-check (dQ/dK/dV). Adds
xtrain-cuda dev-dep for device selection in tests.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
 2026-06-15 15:47:43 +08:00
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@@ -92,7 +92,6 @@ checksum = "e6e4313cd5fcd3dad5cafa179702e2b244f760991f45397d14d4ebf38247da75"
name = "xtrain-autodiff"
version = "0.1.0"
dependencies = [
"xtrain-cuda",
"xtrain-tensor",
]