xtrain

Files

Gahow Wang 5eb27783f8 dropout: autodiff op + fixed-seed grad-check (T18)

ops::dropout(x,p,seed): fwd runs Tensor::dropout, caches the mask in the backward
closure, bwd pushes dx=d⊙mask. p==0 returns x.clone() (no node) so the default
graph is unchanged. Tests in autograd.rs: fixed-seed finite-diff grad-check (mask
held constant across the ± perturbation — dropout is a fixed elementwise linear
map of x); E[out]≈input + keep-rate≈1-p over a seed sweep; p=0 kernel identity.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

2026-06-18 00:05:32 +08:00

xtrain-autodiff

dropout: autodiff op + fixed-seed grad-check (T18)

2026-06-18 00:05:32 +08:00

xtrain-cuda

dropout: device RNG kernel + Tensor fwd/bwd (T18)

2026-06-18 00:05:18 +08:00

xtrain-distributed

model: per-block activation recompute (--recompute)

2026-06-17 09:42:42 +08:00

xtrain-model

docs: Phase T13 — activation recompute