diff options
| -rw-r--r-- | tests/test_modules.py | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/tests/test_modules.py b/tests/test_modules.py index 8108b35..dbadea9 100644 --- a/tests/test_modules.py +++ b/tests/test_modules.py @@ -541,8 +541,8 @@ def test_linear8bitlt_no_fp16_weights(threshold, memory_efficient_backward): mlp = MLP8bit( 32, 64, threshold=threshold, has_fp16_weights=False, memory_efficient_backward=memory_efficient_backward ) - w1, w2 = mlp.fc1.weight.clone(), mlp.fc2.weight.clone() - mlp = mlp.cuda().half() + w1, w2 = mlp.fc1.weight.clone(), mlp.fc2.weight.clone() # note: we grad original weights before quantization, + mlp = mlp.cuda().half() # and this line triggers quantization for i in range(100): b1 = torch.randn(16, 8, 32, device="cuda").half() @@ -567,8 +567,7 @@ def test_linear8bitlt_no_fp16_weights(threshold, memory_efficient_backward): mlp.zero_grad() (o1 * grad_proj).sum().backward() - assert False, (w1, w2) - grad_ref = grad_proj.flatten(2) @ w2 @ w1 + grad_ref = grad_proj.flatten(2) @ w2.to(grad_proj.device) @ w1.to(grad_proj.device) assert torch.allclose(b1.grad, grad_ref) |