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norm() -> linalg.norm() in lennard_jones #1898

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norm() -> linalg.norm() in lennard_jones #1898

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4 changes: 2 additions & 2 deletions torchbenchmark/models/lennard_jones/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def lennard_jones_force(r):


def make_prediction(model, drs):
norms = torch.norm(drs, dim=1).reshape(-1, 1)
norms = torch.linalg.norm(drs, dim=1).reshape(-1, 1)
energies = model(norms)

network_derivs = vmap(jacrev(model))(norms).squeeze(-1)
Expand Down Expand Up @@ -67,7 +67,7 @@ def __init__(self, test, device, batch_size=None, extra_args=[]):
self.drs = torch.outer(r, torch.tensor([1.0, 0, 0])).to(device=device)

# Generate some dummy targets based off of some interpretation of the lennard_jones force.
norms = torch.norm(self.drs, dim=1).reshape(-1, 1)
norms = torch.linalg.norm(self.drs, dim=1).reshape(-1, 1)
self.norms = norms
# Create training energies
self.training_energies = torch.stack(list(map(lennard_jones, norms))).reshape(-1, 1)
Expand Down