remove functools.cache as some people are having issues with it
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e1b128d8e4
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@ -29,6 +29,7 @@ def get_learned_conditioning_prompt_schedules(prompts, steps):
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%import common.SIGNED_NUMBER -> NUMBER
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%import common.SIGNED_NUMBER -> NUMBER
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"""
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"""
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parser = Lark(grammar, parser='lalr')
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parser = Lark(grammar, parser='lalr')
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def collect_steps(steps, tree):
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def collect_steps(steps, tree):
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l = [steps]
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l = [steps]
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class CollectSteps(Visitor):
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class CollectSteps(Visitor):
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@ -40,6 +41,7 @@ def get_learned_conditioning_prompt_schedules(prompts, steps):
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l.append(tree.children[-1])
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l.append(tree.children[-1])
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CollectSteps().visit(tree)
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CollectSteps().visit(tree)
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return sorted(set(l))
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return sorted(set(l))
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def at_step(step, tree):
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def at_step(step, tree):
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class AtStep(Transformer):
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class AtStep(Transformer):
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def scheduled(self, args):
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def scheduled(self, args):
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@ -62,11 +64,13 @@ def get_learned_conditioning_prompt_schedules(prompts, steps):
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for child in children:
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for child in children:
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yield from child
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yield from child
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return AtStep().transform(tree)
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return AtStep().transform(tree)
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@functools.cache
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def get_schedule(prompt):
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def get_schedule(prompt):
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tree = parser.parse(prompt)
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tree = parser.parse(prompt)
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return [[t, at_step(t, tree)] for t in collect_steps(steps, tree)]
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return [[t, at_step(t, tree)] for t in collect_steps(steps, tree)]
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return [get_schedule(prompt) for prompt in prompts]
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promptdict = {prompt: get_schedule(prompt) for prompt in set(prompts)}
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return [promptdict[prompt] for prompt in prompts]
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ScheduledPromptConditioning = namedtuple("ScheduledPromptConditioning", ["end_at_step", "cond"])
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ScheduledPromptConditioning = namedtuple("ScheduledPromptConditioning", ["end_at_step", "cond"])
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