mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
ok now we're cooking
This commit is contained in:
parent
da75876639
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@ -1,13 +1,17 @@
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import string
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from typing import Union
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import pyparsing
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import pyparsing as pp
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from pyparsing import original_text_for
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class Prompt():
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"""
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Mid-level structure for storing the tree-like result of parsing a prompt. A Prompt may not represent the whole of
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the singular user-defined "prompt string" (although it can) - for example, if the user specifies a Blend, the objects
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that are to be blended together are stored individuall as Prompt objects.
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Nesting makes this object not suitable for directly tokenizing; instead call flatten() on the containing Conjunction
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to produce a FlattenedPrompt.
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"""
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def __init__(self, parts: list):
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for c in parts:
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if type(c) is not Attention and not issubclass(type(c), BaseFragment) and type(c) is not pp.ParseResults:
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@ -22,13 +26,16 @@ class BaseFragment:
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pass
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class FlattenedPrompt():
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"""
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A Prompt that has been passed through flatten(). Its children can be readily tokenized.
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"""
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def __init__(self, parts: list=[]):
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# verify type correctness
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self.children = []
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for part in parts:
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self.append(part)
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def append(self, fragment: Union[list, BaseFragment, tuple]):
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# verify type correctness
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if type(fragment) is list:
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for x in fragment:
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self.append(x)
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@ -49,8 +56,11 @@ class FlattenedPrompt():
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def __eq__(self, other):
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return type(other) is FlattenedPrompt and other.children == self.children
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# abstract base class for Fragments
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class Fragment(BaseFragment):
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"""
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A Fragment is a chunk of plain text and an optional weight. The text should be passed as-is to the CLIP tokenizer.
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"""
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def __init__(self, text: str, weight: float=1):
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assert(type(text) is str)
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if '\\"' in text or '\\(' in text or '\\)' in text:
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@ -67,6 +77,12 @@ class Fragment(BaseFragment):
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and other.weight == self.weight
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class Attention():
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"""
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Nestable weight control for fragments. Each object in the children array may in turn be an Attention object;
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weights should be considered to accumulate as the tree is traversed to deeper levels of nesting.
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Do not traverse directly; instead obtain a FlattenedPrompt by calling Flatten() on a top-level Conjunction object.
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"""
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def __init__(self, weight: float, children: list):
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self.weight = weight
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self.children = children
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@ -81,7 +97,28 @@ class CrossAttentionControlledFragment(BaseFragment):
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pass
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class CrossAttentionControlSubstitute(CrossAttentionControlledFragment):
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def __init__(self, original: Fragment, edited: Fragment):
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"""
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A Cross-Attention Controlled ('prompt2prompt') fragment, for use inside a Prompt, Attention, or FlattenedPrompt.
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Representing an "original" word sequence that supplies feature vectors for an initial diffusion operation, and an
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"edited" word sequence, to which the attention maps produced by the "original" word sequence are applied. Intuitively,
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the result should be an "edited" image that looks like the "original" image with concepts swapped.
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eg "a cat sitting on a car" (original) -> "a smiling dog sitting on a car" (edited): the edited image should look
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almost exactly the same as the original, but with a smiling dog rendered in place of the cat. The
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CrossAttentionControlSubstitute object representing this swap may be confined to the tokens being swapped:
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CrossAttentionControlSubstitute(original=[Fragment('cat')], edited=[Fragment('dog')])
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or it may represent a larger portion of the token sequence:
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CrossAttentionControlSubstitute(original=[Fragment('a cat sitting on a car')],
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edited=[Fragment('a smiling dog sitting on a car')])
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In either case expect it to be embedded in a Prompt or FlattenedPrompt:
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FlattenedPrompt([
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Fragment('a'),
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CrossAttentionControlSubstitute(original=[Fragment('cat')], edited=[Fragment('dog')]),
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Fragment('sitting on a car')
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])
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"""
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def __init__(self, original: Union[Fragment, list], edited: Union[Fragment, list]):
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self.original = original
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self.edited = edited
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@ -92,6 +129,7 @@ class CrossAttentionControlSubstitute(CrossAttentionControlledFragment):
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and other.original == self.original \
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and other.edited == self.edited
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class CrossAttentionControlAppend(CrossAttentionControlledFragment):
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def __init__(self, fragment: Fragment):
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self.fragment = fragment
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@ -104,6 +142,10 @@ class CrossAttentionControlAppend(CrossAttentionControlledFragment):
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class Conjunction():
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"""
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Storage for one or more Prompts or Blends, each of which is to be separately diffused and then the results merged
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by weighted sum in latent space.
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"""
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def __init__(self, prompts: list, weights: list = None):
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# force everything to be a Prompt
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#print("making conjunction with", parts)
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@ -125,6 +167,11 @@ class Conjunction():
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class Blend():
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"""
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Stores a Blend of multiple Prompts. To apply, build feature vectors for each of the child Prompts and then perform a
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weighted blend of the feature vectors to produce a single feature vector that is effectively a lerp between the
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Prompts.
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"""
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def __init__(self, prompts: list, weights: list[float], normalize_weights: bool=True):
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#print("making Blend with prompts", prompts, "and weights", weights)
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if len(prompts) != len(weights):
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@ -152,16 +199,11 @@ class PromptParser():
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def __init__(self, attention_plus_base=1.1, attention_minus_base=0.9):
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self.attention_plus_base = attention_plus_base
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self.attention_minus_base = attention_minus_base
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self.root = self.build_parser_logic()
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self.root = build_parser_syntax(attention_plus_base, attention_minus_base)
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def parse(self, prompt: str) -> Conjunction:
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'''
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This parser is *very* forgiving. If it cannot parse syntax, it will return strings as-is to be passed on to the
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diffusion.
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:param prompt: The prompt string to parse
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:return: a Conjunction representing the parsed results.
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'''
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@ -177,7 +219,16 @@ class PromptParser():
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return self.flatten(root[0])
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def flatten(self, root: Conjunction):
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def flatten(self, root: Conjunction) -> Conjunction:
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"""
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Flattening a Conjunction traverses all of the nested tree-like structures in each of its Prompts or Blends,
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producing from each of these walks a linear sequence of Fragment or CrossAttentionControlSubstitute objects
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that can be readily tokenized without the need to walk a complex tree structure.
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:param root: The Conjunction to flatten.
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:return: A Conjunction containing the result of flattening each of the prompts in the passed-in root.
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"""
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#print("flattening", root)
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@ -242,226 +293,238 @@ class PromptParser():
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flattened_parts = []
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for part in root.prompts:
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flattened_parts += flatten_internal(part, 1.0, [], ' C| ')
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#print("flattened to", flattened_parts)
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weights = root.weights
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return Conjunction(flattened_parts, weights)
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def build_parser_logic(self):
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def build_parser_syntax(attention_plus_base: float, attention_minus_base: float):
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lparen = pp.Literal("(").suppress()
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rparen = pp.Literal(")").suppress()
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quotes = pp.Literal('"').suppress()
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lparen = pp.Literal("(").suppress()
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rparen = pp.Literal(")").suppress()
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quotes = pp.Literal('"').suppress()
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# accepts int or float notation, always maps to float
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number = pyparsing.pyparsing_common.real | pp.Word(pp.nums).set_parse_action(pp.token_map(float))
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SPACE_CHARS = string.whitespace
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greedy_word = pp.Word(pp.printables, exclude_chars=string.whitespace).set_name('greedy_word')
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# accepts int or float notation, always maps to float
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number = pp.pyparsing_common.real | pp.Word(pp.nums).set_parse_action(pp.token_map(float))
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greedy_word = pp.Word(pp.printables, exclude_chars=string.whitespace).set_name('greedy_word')
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attention = pp.Forward()
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attention = pp.Forward()
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quoted_fragment = pp.Forward()
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parenthesized_fragment = pp.Forward()
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cross_attention_substitute = pp.Forward()
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prompt_part = pp.Forward()
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def make_fragment(x):
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#print("### making fragment for", x)
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if type(x) is str:
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return Fragment(x)
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elif type(x) is pp.ParseResults or type(x) is list:
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#print(f'converting {type(x).__name__} to Fragment')
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return Fragment(' '.join([s for s in x]))
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else:
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raise PromptParser.ParsingException("Cannot make fragment from " + str(x))
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def make_text_fragment(x):
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#print("### making fragment for", x)
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if type(x) is str:
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return Fragment(x)
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elif type(x) is pp.ParseResults or type(x) is list:
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#print(f'converting {type(x).__name__} to Fragment')
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return Fragment(' '.join([s for s in x]))
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else:
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raise PromptParser.ParsingException("Cannot make fragment from " + str(x))
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quoted_fragment = pp.Forward()
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parenthesized_fragment = pp.Forward()
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def parse_fragment_str(x, in_quotes: bool=False, in_parens: bool=False):
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fragment_string = x[0]
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print(f"parsing fragment string \"{fragment_string}\"")
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if len(fragment_string.strip()) == 0:
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return Fragment('')
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def parse_fragment_str(x):
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#print("parsing fragment string", x)
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if len(x[0].strip()) == 0:
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return Fragment('')
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fragment_parser = pp.Group(pp.OneOrMore(attention | (greedy_word.set_parse_action(make_fragment))))
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fragment_parser.set_name('word_or_attention')
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result = fragment_parser.parse_string(x[0])
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#result = (pp.OneOrMore(attention | unquoted_word) + pp.StringEnd()).parse_string(x[0])
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#print("parsed to", result)
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return result
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if in_quotes:
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# escape unescaped quotes
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fragment_string = fragment_string.replace('"', '\\"')
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quoted_fragment << pp.QuotedString(quote_char='"', esc_char='\\')
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quoted_fragment.set_parse_action(parse_fragment_str).set_name('quoted_fragment')
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#fragment_parser = pp.Group(pp.OneOrMore(attention | cross_attention_substitute | (greedy_word.set_parse_action(make_text_fragment))))
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result = pp.Group(pp.MatchFirst([
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pp.OneOrMore(prompt_part | quoted_fragment),
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pp.Empty().set_parse_action(make_text_fragment) + pp.StringEnd()
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])).set_name('rr').set_debug(False).parse_string(fragment_string)
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#result = (pp.OneOrMore(attention | unquoted_word) + pp.StringEnd()).parse_string(x[0])
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#print("parsed to", result)
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return result
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self_unescaping_escaped_quote = pp.Literal('\\"').set_parse_action(lambda x: '"')
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self_unescaping_escaped_lparen = pp.Literal('\\(').set_parse_action(lambda x: '(')
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self_unescaping_escaped_rparen = pp.Literal('\\)').set_parse_action(lambda x: ')')
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quoted_fragment << pp.QuotedString(quote_char='"', esc_char=None, esc_quote='\\"')
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quoted_fragment.set_parse_action(lambda x: parse_fragment_str(x, in_quotes=True)).set_name('quoted_fragment')
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def not_ends_with_swap(x):
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#print("trying to match:", x)
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return not x[0].endswith('.swap')
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escaped_quote = pp.Literal('\\"')#.set_parse_action(lambda x: '"')
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escaped_lparen = pp.Literal('\\(')#.set_parse_action(lambda x: '(')
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escaped_rparen = pp.Literal('\\)')#.set_parse_action(lambda x: ')')
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escaped_backslash = pp.Literal('\\\\')#.set_parse_action(lambda x: '"')
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unquoted_fragment = pp.Combine(pp.OneOrMore(
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self_unescaping_escaped_rparen | self_unescaping_escaped_lparen | self_unescaping_escaped_quote |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\"()')))
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unquoted_fragment.set_parse_action(make_fragment).set_name('unquoted_fragment').set_debug(True)
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#print(unquoted_fragment.parse_string("cat.swap(dog)"))
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def not_ends_with_swap(x):
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#print("trying to match:", x)
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return not x[0].endswith('.swap')
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parenthesized_fragment << pp.MatchFirst([
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(lparen + quoted_fragment.copy().set_parse_action(parse_fragment_str).set_debug(False) + rparen).set_name('-quoted_paren_internal').set_debug(False),
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(lparen + rparen).set_parse_action(lambda x: make_fragment('')).set_name('-()').set_debug(False),
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(lparen + pp.Combine(pp.OneOrMore(
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pp.Literal('\\"').set_debug(False).set_parse_action(lambda x: '"') |
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pp.Literal('\\(').set_debug(False).set_parse_action(lambda x: '(') |
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pp.Literal('\\)').set_debug(False).set_parse_action(lambda x: ')') |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\"()') |
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pp.Word(string.whitespace)
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)).set_name('--combined').set_parse_action(parse_fragment_str).set_debug(False) + rparen)]).set_name('-unquoted_paren_internal').set_debug(False)
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parenthesized_fragment.set_name('parenthesized_fragment').set_debug(False)
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unquoted_fragment = pp.Combine(pp.OneOrMore(
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escaped_rparen | escaped_lparen | escaped_quote | escaped_backslash |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\"()')))
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unquoted_fragment.set_parse_action(make_text_fragment).set_name('unquoted_fragment').set_debug(False)
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#print(unquoted_fragment.parse_string("cat.swap(dog)"))
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debug_attention = False
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# attention control of the form +(phrase) / -(phrase) / <weight>(phrase)
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# phrase can be multiple words, can have multiple +/- signs to increase the effect or type a floating point or integer weight
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attention_head = (number | pp.Word('+') | pp.Word('-'))\
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.set_name("attention_head")\
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.set_debug(False)
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word_inside_attention = pp.Combine(pp.OneOrMore(
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pp.Literal('\\)') | pp.Literal('\\(') | pp.Literal('\\"') |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\()"')
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)).set_name('word_inside_attention')
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attention_with_parens = pp.Forward()
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attention_with_parens_delimited_list = pp.delimited_list(pp.Or([
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quoted_fragment.copy().set_debug(debug_attention),
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attention.copy().set_debug(debug_attention),
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word_inside_attention.set_debug(debug_attention)]).set_name('delim_inner').set_debug(debug_attention),
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delim=string.whitespace)
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# have to disable ignore_expr here to prevent pyparsing from stripping off quote marks
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attention_with_parens_body = pp.nested_expr(content=attention_with_parens_delimited_list,
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ignore_expr=None#((pp.Literal("\\(") | pp.Literal('\\)')))
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)
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attention_with_parens_body.set_debug(debug_attention)
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attention_with_parens << (attention_head + attention_with_parens_body)
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attention_with_parens.set_name('attention_with_parens').set_debug(debug_attention)
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parenthesized_fragment << pp.Or([
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(lparen + quoted_fragment.copy().set_parse_action(lambda x: parse_fragment_str(x, in_quotes=True)).set_debug(False) + rparen).set_name('-quoted_paren_internal').set_debug(False),
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(lparen + rparen).set_parse_action(lambda x: make_text_fragment('')).set_name('-()').set_debug(False),
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(lparen + pp.Combine(pp.OneOrMore(
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escaped_quote | escaped_lparen | escaped_rparen | escaped_backslash |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\"()') |
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pp.Word(string.whitespace)
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)).set_name('--combined').set_parse_action(lambda x: parse_fragment_str(x, in_parens=True)).set_debug(False) + rparen)]).set_name('-unquoted_paren_internal').set_debug(False)
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parenthesized_fragment.set_name('parenthesized_fragment').set_debug(False)
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attention_without_parens = (pp.Word('+') | pp.Word('-')) + (quoted_fragment | word_inside_attention)
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attention_without_parens.set_name('attention_without_parens').set_debug(debug_attention)
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debug_attention = False
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# attention control of the form +(phrase) / -(phrase) / <weight>(phrase)
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# phrase can be multiple words, can have multiple +/- signs to increase the effect or type a floating point or integer weight
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attention_head = (number | pp.Word('+') | pp.Word('-'))\
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.set_name("attention_head")\
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.set_debug(False)
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word_inside_attention = pp.Combine(pp.OneOrMore(
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pp.Literal('\\)') | pp.Literal('\\(') | pp.Literal('\\"') |
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pp.Word(pp.printables, exclude_chars=string.whitespace + '\\()"')
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)).set_name('word_inside_attention')
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attention_with_parens = pp.Forward()
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attention << (attention_with_parens | attention_without_parens)
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attention_with_parens_delimited_list = pp.OneOrMore(pp.Or([
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quoted_fragment.copy().set_debug(debug_attention),
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attention.copy().set_debug(debug_attention),
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cross_attention_substitute,
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word_inside_attention.set_debug(debug_attention)
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#pp.White()
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]).set_name('delim_inner').set_debug(debug_attention))
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# have to disable ignore_expr here to prevent pyparsing from stripping off quote marks
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attention_with_parens_body = pp.nested_expr(content=attention_with_parens_delimited_list,
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ignore_expr=None#((pp.Literal("\\(") | pp.Literal('\\)')))
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)
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attention_with_parens_body.set_debug(debug_attention)
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attention_with_parens << (attention_head + attention_with_parens_body)
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attention_with_parens.set_name('attention_with_parens').set_debug(debug_attention)
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def make_attention(x):
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#print("making Attention from", x)
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weight = 1
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# number(str)
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if type(x[0]) is float or type(x[0]) is int:
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weight = float(x[0])
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# +(str) or -(str) or +str or -str
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elif type(x[0]) is str:
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base = self.attention_plus_base if x[0][0] == '+' else self.attention_minus_base
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weight = pow(base, len(x[0]))
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if type(x[1]) is list or type(x[1]) is pp.ParseResults:
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return Attention(weight=weight, children=[(Fragment(x) if type(x) is str else x) for x in x[1]])
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elif type(x[1]) is str:
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return Attention(weight=weight, children=[Fragment(x[1])])
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elif type(x[1]) is Fragment:
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return Attention(weight=weight, children=[x[1]])
|
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raise PromptParser.ParsingException(f"Don't know how to make attention with children {x[1]}")
|
||||
attention_without_parens = (pp.Word('+') | pp.Word('-')) + (quoted_fragment | word_inside_attention)
|
||||
attention_without_parens.set_name('attention_without_parens').set_debug(debug_attention)
|
||||
|
||||
attention_with_parens.set_parse_action(make_attention)
|
||||
attention_without_parens.set_parse_action(make_attention)
|
||||
attention << (attention_with_parens | attention_without_parens)
|
||||
attention.set_name('attention')
|
||||
|
||||
# cross-attention control
|
||||
empty_string = ((lparen + rparen) |
|
||||
pp.Literal('""').suppress() |
|
||||
(lparen + pp.Literal('""').suppress() + rparen)
|
||||
).set_parse_action(lambda x: Fragment(""))
|
||||
empty_string.set_name('empty_string')
|
||||
def make_attention(x):
|
||||
#print("making Attention from", x)
|
||||
weight = 1
|
||||
# number(str)
|
||||
if type(x[0]) is float or type(x[0]) is int:
|
||||
weight = float(x[0])
|
||||
# +(str) or -(str) or +str or -str
|
||||
elif type(x[0]) is str:
|
||||
base = attention_plus_base if x[0][0] == '+' else attention_minus_base
|
||||
weight = pow(base, len(x[0]))
|
||||
if type(x[1]) is list or type(x[1]) is pp.ParseResults:
|
||||
return Attention(weight=weight, children=[(Fragment(x) if type(x) is str else x) for x in x[1]])
|
||||
elif type(x[1]) is str:
|
||||
return Attention(weight=weight, children=[Fragment(x[1])])
|
||||
elif type(x[1]) is Fragment:
|
||||
return Attention(weight=weight, children=[x[1]])
|
||||
raise PromptParser.ParsingException(f"Don't know how to make attention with children {x[1]}")
|
||||
|
||||
# cross attention control
|
||||
debug_cross_attention_control = False
|
||||
original_fragment = pp.Or([empty_string.set_debug(debug_cross_attention_control),
|
||||
quoted_fragment.set_debug(debug_cross_attention_control),
|
||||
parenthesized_fragment.set_debug(debug_cross_attention_control),
|
||||
pp.Word(pp.printables, exclude_chars=string.whitespace + '.').set_parse_action(make_fragment) + pp.FollowedBy(".swap")
|
||||
])
|
||||
edited_fragment = parenthesized_fragment
|
||||
cross_attention_substitute = original_fragment + pp.Literal(".swap").suppress() + edited_fragment
|
||||
attention_with_parens.set_parse_action(make_attention)
|
||||
attention_without_parens.set_parse_action(make_attention)
|
||||
|
||||
original_fragment.set_name('original_fragment').set_debug(debug_cross_attention_control)
|
||||
edited_fragment.set_name('edited_fragment').set_debug(debug_cross_attention_control)
|
||||
cross_attention_substitute.set_name('cross_attention_substitute').set_debug(debug_cross_attention_control)
|
||||
# cross-attention control
|
||||
empty_string = ((lparen + rparen) |
|
||||
pp.Literal('""').suppress() |
|
||||
(lparen + pp.Literal('""').suppress() + rparen)
|
||||
).set_parse_action(lambda x: Fragment(""))
|
||||
empty_string.set_name('empty_string')
|
||||
|
||||
def make_cross_attention_substitute(x):
|
||||
#print("making cacs for", x)
|
||||
cacs = CrossAttentionControlSubstitute(x[0], x[1])
|
||||
#print("made", cacs)
|
||||
return cacs
|
||||
cross_attention_substitute.set_parse_action(make_cross_attention_substitute)
|
||||
# cross attention control
|
||||
debug_cross_attention_control = False
|
||||
original_fragment = pp.Or([empty_string.set_debug(debug_cross_attention_control),
|
||||
quoted_fragment.set_debug(debug_cross_attention_control),
|
||||
parenthesized_fragment.set_debug(debug_cross_attention_control),
|
||||
pp.Word(pp.printables, exclude_chars=string.whitespace + '.').set_parse_action(make_text_fragment) + pp.FollowedBy(".swap")
|
||||
])
|
||||
edited_fragment = parenthesized_fragment
|
||||
cross_attention_substitute << original_fragment + pp.Literal(".swap").suppress() + edited_fragment
|
||||
|
||||
original_fragment.set_name('original_fragment').set_debug(debug_cross_attention_control)
|
||||
edited_fragment.set_name('edited_fragment').set_debug(debug_cross_attention_control)
|
||||
cross_attention_substitute.set_name('cross_attention_substitute').set_debug(debug_cross_attention_control)
|
||||
|
||||
def make_cross_attention_substitute(x):
|
||||
#print("making cacs for", x)
|
||||
cacs = CrossAttentionControlSubstitute(x[0], x[1])
|
||||
#print("made", cacs)
|
||||
return cacs
|
||||
cross_attention_substitute.set_parse_action(make_cross_attention_substitute)
|
||||
|
||||
|
||||
# simple fragments of text
|
||||
# use Or to match the longest
|
||||
prompt_part << pp.MatchFirst([
|
||||
cross_attention_substitute,
|
||||
attention,
|
||||
unquoted_fragment,
|
||||
lparen + unquoted_fragment + rparen # matches case where user has +(term) and just deletes the +
|
||||
])
|
||||
prompt_part.set_debug(False)
|
||||
prompt_part.set_name("prompt_part")
|
||||
|
||||
empty = (
|
||||
(lparen + pp.ZeroOrMore(pp.Word(string.whitespace)) + rparen) |
|
||||
(quotes + pp.ZeroOrMore(pp.Word(string.whitespace)) + quotes)).set_debug(False).set_name('empty')
|
||||
|
||||
# root prompt definition
|
||||
prompt = ((pp.OneOrMore(prompt_part | quoted_fragment) | empty) + pp.StringEnd()) \
|
||||
.set_parse_action(lambda x: Prompt(x))
|
||||
|
||||
|
||||
|
||||
# simple fragments of text
|
||||
# use Or to match the longest
|
||||
prompt_part = pp.Or([
|
||||
cross_attention_substitute,
|
||||
attention,
|
||||
quoted_fragment,
|
||||
unquoted_fragment,
|
||||
lparen + unquoted_fragment + rparen # matches case where user has +(term) and just deletes the +
|
||||
])
|
||||
prompt_part.set_debug(False)
|
||||
prompt_part.set_name("prompt_part")
|
||||
# weighted blend of prompts
|
||||
# ("promptA", "promptB").blend(a, b) where "promptA" and "promptB" are valid prompts and a and b are float or
|
||||
# int weights.
|
||||
# can specify more terms eg ("promptA", "promptB", "promptC").blend(a,b,c)
|
||||
|
||||
empty = (
|
||||
(lparen + pp.ZeroOrMore(pp.Word(string.whitespace)) + rparen) |
|
||||
(quotes + pp.ZeroOrMore(pp.Word(string.whitespace)) + quotes)).set_debug(False).set_name('empty')
|
||||
def make_prompt_from_quoted_string(x):
|
||||
#print(' got quoted prompt', x)
|
||||
|
||||
# root prompt definition
|
||||
prompt = ((pp.OneOrMore(prompt_part) | empty) + pp.StringEnd()) \
|
||||
.set_parse_action(lambda x: Prompt(x))
|
||||
x_unquoted = x[0][1:-1]
|
||||
if len(x_unquoted.strip()) == 0:
|
||||
# print(' b : just an empty string')
|
||||
return Prompt([Fragment('')])
|
||||
# print(' b parsing ', c_unquoted)
|
||||
x_parsed = prompt.parse_string(x_unquoted)
|
||||
#print(" quoted prompt was parsed to", type(x_parsed),":", x_parsed)
|
||||
return x_parsed[0]
|
||||
|
||||
quoted_prompt = pp.dbl_quoted_string.set_parse_action(make_prompt_from_quoted_string)
|
||||
quoted_prompt.set_name('quoted_prompt')
|
||||
|
||||
blend_terms = pp.delimited_list(quoted_prompt).set_name('blend_terms')
|
||||
blend_weights = pp.delimited_list(number).set_name('blend_weights')
|
||||
blend = pp.Group(lparen + pp.Group(blend_terms) + rparen
|
||||
+ pp.Literal(".blend").suppress()
|
||||
+ lparen + pp.Group(blend_weights) + rparen).set_name('blend')
|
||||
blend.set_debug(False)
|
||||
|
||||
|
||||
blend.set_parse_action(lambda x: Blend(prompts=x[0][0], weights=x[0][1]))
|
||||
|
||||
# weighted blend of prompts
|
||||
# ("promptA", "promptB").blend(a, b) where "promptA" and "promptB" are valid prompts and a and b are float or
|
||||
# int weights.
|
||||
# can specify more terms eg ("promptA", "promptB", "promptC").blend(a,b,c)
|
||||
conjunction_terms = blend_terms.copy().set_name('conjunction_terms')
|
||||
conjunction_weights = blend_weights.copy().set_name('conjunction_weights')
|
||||
conjunction_with_parens_and_quotes = pp.Group(lparen + pp.Group(conjunction_terms) + rparen
|
||||
+ pp.Literal(".and").suppress()
|
||||
+ lparen + pp.Optional(pp.Group(conjunction_weights)) + rparen).set_name('conjunction')
|
||||
def make_conjunction(x):
|
||||
parts_raw = x[0][0]
|
||||
weights = x[0][1] if len(x[0])>1 else [1.0]*len(parts_raw)
|
||||
parts = [part for part in parts_raw]
|
||||
return Conjunction(parts, weights)
|
||||
conjunction_with_parens_and_quotes.set_parse_action(make_conjunction)
|
||||
|
||||
def make_prompt_from_quoted_string(x):
|
||||
#print(' got quoted prompt', x)
|
||||
implicit_conjunction = pp.OneOrMore(blend | prompt).set_name('implicit_conjunction')
|
||||
implicit_conjunction.set_parse_action(lambda x: Conjunction(x))
|
||||
|
||||
x_unquoted = x[0][1:-1]
|
||||
if len(x_unquoted.strip()) == 0:
|
||||
# print(' b : just an empty string')
|
||||
return Prompt([Fragment('')])
|
||||
# print(' b parsing ', c_unquoted)
|
||||
x_parsed = prompt.parse_string(x_unquoted)
|
||||
#print(" quoted prompt was parsed to", type(x_parsed),":", x_parsed)
|
||||
return x_parsed[0]
|
||||
conjunction = conjunction_with_parens_and_quotes | implicit_conjunction
|
||||
conjunction.set_debug(False)
|
||||
|
||||
quoted_prompt = pp.dbl_quoted_string.set_parse_action(make_prompt_from_quoted_string)
|
||||
quoted_prompt.set_name('quoted_prompt')
|
||||
|
||||
blend_terms = pp.delimited_list(quoted_prompt).set_name('blend_terms')
|
||||
blend_weights = pp.delimited_list(number).set_name('blend_weights')
|
||||
blend = pp.Group(lparen + pp.Group(blend_terms) + rparen
|
||||
+ pp.Literal(".blend").suppress()
|
||||
+ lparen + pp.Group(blend_weights) + rparen).set_name('blend')
|
||||
blend.set_debug(False)
|
||||
|
||||
|
||||
blend.set_parse_action(lambda x: Blend(prompts=x[0][0], weights=x[0][1]))
|
||||
|
||||
conjunction_terms = blend_terms.copy().set_name('conjunction_terms')
|
||||
conjunction_weights = blend_weights.copy().set_name('conjunction_weights')
|
||||
conjunction_with_parens_and_quotes = pp.Group(lparen + pp.Group(conjunction_terms) + rparen
|
||||
+ pp.Literal(".and").suppress()
|
||||
+ lparen + pp.Optional(pp.Group(conjunction_weights)) + rparen).set_name('conjunction')
|
||||
def make_conjunction(x):
|
||||
parts_raw = x[0][0]
|
||||
weights = x[0][1] if len(x[0])>1 else [1.0]*len(parts_raw)
|
||||
parts = [part for part in parts_raw]
|
||||
return Conjunction(parts, weights)
|
||||
conjunction_with_parens_and_quotes.set_parse_action(make_conjunction)
|
||||
|
||||
implicit_conjunction = pp.OneOrMore(blend | prompt).set_name('implicit_conjunction')
|
||||
implicit_conjunction.set_parse_action(lambda x: Conjunction(x))
|
||||
|
||||
conjunction = conjunction_with_parens_and_quotes | implicit_conjunction
|
||||
conjunction.set_debug(False)
|
||||
|
||||
# top-level is a conjunction of one or more blends or prompts
|
||||
return conjunction
|
||||
# top-level is a conjunction of one or more blends or prompts
|
||||
return conjunction
|
||||
|
@ -77,6 +77,15 @@ class PromptParserTestCase(unittest.TestCase):
|
||||
def test_complex_conjunction(self):
|
||||
self.assertEqual(Conjunction([FlattenedPrompt([("mountain man", 1.0)]), FlattenedPrompt([("a person with a hat", 1.0), ("riding a bicycle", pow(1.1,2))])], weights=[0.5, 0.5]),
|
||||
parse_prompt("(\"mountain man\", \"a person with a hat ++(riding a bicycle)\").and(0.5, 0.5)"))
|
||||
self.assertEqual(Conjunction([FlattenedPrompt([("mountain man", 1.0)]),
|
||||
FlattenedPrompt([("a person with a hat", 1.0),
|
||||
("riding a", 1.1*1.1),
|
||||
CrossAttentionControlSubstitute(
|
||||
[Fragment("bicycle", pow(1.1,2))],
|
||||
[Fragment("skateboard", pow(1.1,2))])
|
||||
])
|
||||
], weights=[0.5, 0.5]),
|
||||
parse_prompt("(\"mountain man\", \"a person with a hat ++(riding a bicycle.swap(skateboard))\").and(0.5, 0.5)"))
|
||||
|
||||
def test_badly_formed(self):
|
||||
def make_untouched_prompt(prompt):
|
||||
@ -309,8 +318,7 @@ class PromptParserTestCase(unittest.TestCase):
|
||||
parse_prompt('mountain (\(\(\().swap(m\(on\)\)key)'))
|
||||
|
||||
def test_single(self):
|
||||
self.assertEqual(Conjunction([FlattenedPrompt([('mountain', 1), CrossAttentionControlSubstitute([Fragment('"man', 1)], [Fragment('monkey', 1)])])]),
|
||||
parse_prompt('mountain (\\"man).swap("monkey")'))
|
||||
self.assertEqual(make_weighted_conjunction([('hairy', 1), ('mou)ntain, \"man (wit(h a', 1.1), ('beard', 1.1*2.0)]), parse_prompt('hairy +("mou\)ntain, \\\"man\" \(wit\(h a 2.0(beard))'))
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
Loading…
Reference in New Issue
Block a user