test(linear): fix gradient test

test/nn/test_qlinear.py

@@ -106,7 +106,7 @@ def test_qlinear_gradient(tokens, embeddings, activations, weights, device):
  # Run an inference with identical inputs
  qinputs = random_qtensor((batch_size,) + (tokens, embeddings), dtype=torch.float32).to(device)
  qout = qlinear(qinputs)
- out = linear(qinputs)
+ out = linear(qinputs.dequantize())
  # Outputs are not identical because of the quantization
  assert not torch.equal(qout, out)
  # Compute gradients and compare