TOTAL_loss, dumbo
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@ -155,9 +155,9 @@ class ConfigurableStep(Module):
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self.loss_accumulator.add_loss(loss_name, l)
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for n, v in loss.extra_metrics():
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self.loss_accumulator.add_loss("%s_%s" % (loss_name, n), v)
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# In some cases, the loss could not be set (e.g. all losses have 'after'
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if isinstance(loss, torch.Tensor):
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if isinstance(total_loss, torch.Tensor):
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self.loss_accumulator.add_loss("%s_total" % (self.get_training_network_name(),), total_loss)
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# Scale the loss down by the accumulation factor.
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total_loss = total_loss / self.env['mega_batch_factor']
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