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| author | justheuristic <justheuristic@gmail.com> | 2022-09-18 00:38:02 +0300 |
|---|---|---|
| committer | justheuristic <justheuristic@gmail.com> | 2022-09-18 00:38:02 +0300 |
| commit | fa8e07c7c5186e18d9e2d45042814fe6e8d76d5a (patch) | |
| tree | ddb7e66ac4c84d517e1a671d11e99ac7cfd9cfa2 /tests | |
| parent | ab9dee062d791ef343ff5f9e8c2c85dc094219ed (diff) | |
more lenient threshold
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/test_autograd.py | 3 |
1 files changed, 1 insertions, 2 deletions
diff --git a/tests/test_autograd.py b/tests/test_autograd.py index 4e4282a..0150fbb 100644 --- a/tests/test_autograd.py +++ b/tests/test_autograd.py @@ -372,10 +372,9 @@ def test_matmullt( n = out_bnb.numel() err = torch.abs(out_bnb - out_torch).mean().item() # print(f'abs error {err:.4f}') - out_error_rate = 0.0175 if dtype == torch.float16 else 0.02 idx = torch.isclose(out_bnb, out_torch, atol=0.01, rtol=0.1) - assert (idx == 0).sum().item() <= n * out_error_rate + assert (idx == 0).sum().item() <= n * (0.0175 if dtype == torch.float16 else 0.02) idx = torch.isclose(out_bnb, out_torch, atol=0.035, rtol=0.2) assert (idx == 0).sum().item() <= n * 0.001 |