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4 Commits
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a58ef65212
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@ -1,6 +1,7 @@
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import torch
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import math
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import comfy.utils
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from comfy.model_management import device_should_use_non_blocking
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class CONDRegular:
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@ -10,8 +11,17 @@ class CONDRegular:
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def _copy_with(self, cond):
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return self.__class__(cond)
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def _pin_memory(self, cond):
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if cond.device == torch.device('cpu'):
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return cond.pin_memory()
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else:
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return cond
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def process_cond(self, batch_size, device, **kwargs):
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return self._copy_with(comfy.utils.repeat_to_batch_size(self.cond, batch_size).to(device))
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if device_should_use_non_blocking(device):
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return self._copy_with(comfy.utils.repeat_to_batch_size(self._pin_memory(self.cond), batch_size).to(device, non_blocking=True))
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else:
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return self._copy_with(comfy.utils.repeat_to_batch_size(self.cond, batch_size).to(device))
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def can_concat(self, other):
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if self.cond.shape != other.cond.shape:
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