autodiff: finite-diff gradient-check harness

New xtrain-autodiff crate with a reusable central finite-difference
gradient check: grad_check(x, shape, f, analytic_grad, cfg) compares an
analytic gradient against (f(x+ε)-f(x-ε))/2ε per element with a relative
tolerance. Host-only (no CUDA): the loss closure owns any GPU work, so
T4's per-op backward checks can reuse it directly. Includes host unit
tests (sum(x²) grad 2x passes; a wrong grad is rejected).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-06-15 15:26:42 +08:00
parent fbd07a578c
commit 9ca98efd98
5 changed files with 157 additions and 0 deletions

View File

@@ -0,0 +1,7 @@
[package]
name = "xtrain-autodiff"
version.workspace = true
edition.workspace = true
[dependencies]
xtrain-tensor = { path = "../xtrain-tensor" }