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Bump tolerances for per_sample_grads tutorial #3487

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Merged
merged 14 commits into from
Jul 30, 2025
2 changes: 1 addition & 1 deletion intermediate_source/per_sample_grads.py
Original file line number Diff line number Diff line change
Expand Up @@ -169,7 +169,7 @@ def compute_loss(params, buffers, sample, target):
# results of hand processing each one individually:

for per_sample_grad, ft_per_sample_grad in zip(per_sample_grads, ft_per_sample_grads.values()):
assert torch.allclose(per_sample_grad, ft_per_sample_grad, atol=3e-3, rtol=1e-5)
assert torch.allclose(per_sample_grad, ft_per_sample_grad, atol=1.2e-1, rtol=1e-5)

######################################################################
# A quick note: there are limitations around what types of functions can be
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