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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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fix impl
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e8df8a9f52
commit
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@ -27,9 +27,8 @@ class RTTensorMoverPatches:
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self.mover_stream = stream_impl(device=devices.device)
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self.mover_stream = stream_impl(device=devices.device)
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self.calc_stream = stream_impl(device=devices.device)
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self.calc_stream = stream_impl(device=devices.device)
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self.stash = {}
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self.stash = {}
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self.speed_limit_loop_len = shared.opts.lowvram_max_loaded_module or 3
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self.speed_limit_loop_head = 0
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self.speed_limit_loop_head = 0
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self.speed_limit_loop = [None] * self.speed_limit_loop_len
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self.speed_limit_loop = []
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self.linear_original = patches.patch(
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self.linear_original = patches.patch(
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@ -99,11 +98,13 @@ class RTTensorMoverPatches:
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for k in to_remove:
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for k in to_remove:
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del self.stash[k]
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del self.stash[k]
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if len(self.speed_limit_loop) < shared.opts.lowvram_max_loaded_module:
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self.speed_limit_loop.extend([None] * (shared.opts.lowvram_max_loaded_module - len(self.speed_limit_loop)))
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self.speed_limit_loop[self.speed_limit_loop_head] = after_calc_event
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self.speed_limit_loop_head = (self.speed_limit_loop_head + 1) % shared.opts.lowvram_max_loaded_module
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if self.speed_limit_loop[self.speed_limit_loop_head] is not None:
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if self.speed_limit_loop[self.speed_limit_loop_head] is not None:
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self.mover_stream.wait_event(self.speed_limit_loop[self.speed_limit_loop_head])
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self.mover_stream.wait_event(self.speed_limit_loop[self.speed_limit_loop_head])
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self.speed_limit_loop_head = (self.speed_limit_loop_head + 1) % self.speed_limit_loop_len
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self.speed_limit_loop[self.speed_limit_loop_head] = after_calc_event
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def _wrapper_default(self, original):
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def _wrapper_default(self, original):
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def wrapper(input, weight, bias=None, *args, **kwargs):
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def wrapper(input, weight, bias=None, *args, **kwargs):
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