d1dfcc0b80c4ecead8866473e5cfdfd351ac7cbd,kur/backend/pytorch_backend.py,PyTorchBackend,process_loss,#PyTorchBackend#Any#Any#,244

Before Change

		if isinstance(loss, Loss):
			loss = [loss]

		if len(loss) != len(model.outputs):
			raise ValueError("Model has {} outputs, but only {} loss "
				"functions were specified."
				.format(len(model.outputs), len(loss)))

		if isinstance(loss, (list, tuple)):
			loss = dict(zip(model.outputs, loss))

		if not isinstance(loss, (dict, OrderedDict)):

After Change

				"loss functions attached: %s", ", ".join(output_only))

		if isinstance(loss, (list, tuple)):
			loss = {x.get("target") : x for x in loss}

		if not isinstance(loss, (dict, OrderedDict)):
			raise ValueError("Loss functions given to "compile" should be "
				"a list/tuple, a dictionary, or a single Loss instance. "

Instances