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Correct scaling of output intensities in FullyNN. #70

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Merged
iLampard merged 1 commit into from
Aug 3, 2025
Merged

Correct scaling of output intensities in FullyNN. #70

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6 changes: 3 additions & 3 deletions easy_tpp/model/torch_model/torch_fullynn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -64,13 +64,13 @@ def forward(self, hidden_states, time_delta_seqs):
derivative_integral_lambdas = []
for i in range(integral_lambda.shape[-1]): # iterate over marks
derivative_integral_lambdas.append(grad(
integral_lambda[..., i].mean(),
integral_lambda[..., i].sum(),
time_delta_seqs,
create_graph=True, retain_graph=True)[0])
derivative_integral_lambda = torch.stack(derivative_integral_lambdas, dim=-1) # TODO: Check that it is okay to iterate over marks like this
else:
derivative_integral_lambda = grad(
integral_lambda.sum(dim=-1).mean(),
derivative_integral_lambda = grad(
integral_lambda.sum(),
time_delta_seqs,
create_graph=True, retain_graph=True)[0]
derivative_integral_lambda = derivative_integral_lambda.unsqueeze(-1).expand(*derivative_integral_lambda.shape, self.num_event_types) / self.num_event_types
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