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Store loss values as float values not PyTorch objects #337

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Mar 1, 2024
Merged

Store loss values as float values not PyTorch objects #337

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7 changes: 3 additions & 4 deletions ctgan/synthesizers/ctgan.py
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Original file line number Diff line number Diff line change
Expand Up @@ -175,8 +175,7 @@ def __init__(self, embedding_dim=128, generator_dim=(256, 256), discriminator_di
self._transformer = None
self._data_sampler = None
self._generator = None

self.loss_values = pd.DataFrame(columns=['Epoch', 'Generator Loss', 'Distriminator Loss'])
self.loss_values = None

@staticmethod
def _gumbel_softmax(logits, tau=1, hard=False, eps=1e-10, dim=-1):
Expand Down Expand Up @@ -423,8 +422,8 @@ def fit(self, train_data, discrete_columns=(), epochs=None):
loss_g.backward()
optimizerG.step()

generator_loss = loss_g.detach().cpu()
discriminator_loss = loss_d.detach().cpu()
generator_loss = loss_g.detach().cpu().item()
discriminator_loss = loss_d.detach().cpu().item()

epoch_loss_df = pd.DataFrame({
'Epoch': [i],
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