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import itertools
from typing import Sequence, Mapping, Dict
from comfy_execution.graph import DynamicPrompt
import nodes
from comfy_execution.graph_utils import is_link
NODE_CLASS_CONTAINS_UNIQUE_ID: Dict[str, bool] = {}
def include_unique_id_in_input(class_type: str) -> bool:
if class_type in NODE_CLASS_CONTAINS_UNIQUE_ID:
return NODE_CLASS_CONTAINS_UNIQUE_ID[class_type]
class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
NODE_CLASS_CONTAINS_UNIQUE_ID[class_type] = "UNIQUE_ID" in class_def.INPUT_TYPES().get("hidden", {}).values()
return NODE_CLASS_CONTAINS_UNIQUE_ID[class_type]
class CacheKeySet:
def __init__(self, dynprompt, node_ids, is_changed_cache):
self.keys = {}
self.subcache_keys = {}
def add_keys(self, node_ids):
raise NotImplementedError()
def all_node_ids(self):
return set(self.keys.keys())
def get_used_keys(self):
return self.keys.values()
def get_used_subcache_keys(self):
return self.subcache_keys.values()
def get_data_key(self, node_id):
return self.keys.get(node_id, None)
def get_subcache_key(self, node_id):
return self.subcache_keys.get(node_id, None)
class Unhashable:
def __init__(self):
self.value = float("NaN")
def to_hashable(obj):
# So that we don't infinitely recurse since frozenset and tuples
# are Sequences.
if isinstance(obj, (int, float, str, bool, type(None))):
return obj
elif isinstance(obj, Mapping):
return frozenset([(to_hashable(k), to_hashable(v)) for k, v in sorted(obj.items())])
elif isinstance(obj, Sequence):
return frozenset(zip(itertools.count(), [to_hashable(i) for i in obj]))
else:
# TODO - Support other objects like tensors?
return Unhashable()
class CacheKeySetID(CacheKeySet):
def __init__(self, dynprompt, node_ids, is_changed_cache):
super().__init__(dynprompt, node_ids, is_changed_cache)
self.dynprompt = dynprompt
self.add_keys(node_ids)
def add_keys(self, node_ids):
for node_id in node_ids:
if node_id in self.keys:
continue
if not self.dynprompt.has_node(node_id):
continue
node = self.dynprompt.get_node(node_id)
self.keys[node_id] = (node_id, node["class_type"])
self.subcache_keys[node_id] = (node_id, node["class_type"])
class CacheKeySetInputSignature(CacheKeySet):
def __init__(self, dynprompt, node_ids, is_changed_cache):
super().__init__(dynprompt, node_ids, is_changed_cache)
self.dynprompt = dynprompt
self.is_changed_cache = is_changed_cache
self.add_keys(node_ids)
def include_node_id_in_input(self) -> bool:
return False
def add_keys(self, node_ids):
for node_id in node_ids:
if node_id in self.keys:
continue
if not self.dynprompt.has_node(node_id):
continue
node = self.dynprompt.get_node(node_id)
self.keys[node_id] = self.get_node_signature(self.dynprompt, node_id)
self.subcache_keys[node_id] = (node_id, node["class_type"])
def get_node_signature(self, dynprompt, node_id):
signature = []
ancestors, order_mapping = self.get_ordered_ancestry(dynprompt, node_id)
signature.append(self.get_immediate_node_signature(dynprompt, node_id, order_mapping))
for ancestor_id in ancestors:
signature.append(self.get_immediate_node_signature(dynprompt, ancestor_id, order_mapping))
return to_hashable(signature)
def get_immediate_node_signature(self, dynprompt, node_id, ancestor_order_mapping):
if not dynprompt.has_node(node_id):
# This node doesn't exist -- we can't cache it.
return [float("NaN")]
node = dynprompt.get_node(node_id)
class_type = node["class_type"]
class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
signature = [class_type, self.is_changed_cache.get(node_id)]
if self.include_node_id_in_input() or (hasattr(class_def, "NOT_IDEMPOTENT") and class_def.NOT_IDEMPOTENT) or include_unique_id_in_input(class_type):
signature.append(node_id)
inputs = node["inputs"]
for key in sorted(inputs.keys()):
if is_link(inputs[key]):
(ancestor_id, ancestor_socket) = inputs[key]
ancestor_index = ancestor_order_mapping[ancestor_id]
signature.append((key,("ANCESTOR", ancestor_index, ancestor_socket)))
else:
signature.append((key, inputs[key]))
return signature
# This function returns a list of all ancestors of the given node. The order of the list is
# deterministic based on which specific inputs the ancestor is connected by.
def get_ordered_ancestry(self, dynprompt, node_id):
ancestors = []
order_mapping = {}
self.get_ordered_ancestry_internal(dynprompt, node_id, ancestors, order_mapping)
return ancestors, order_mapping
def get_ordered_ancestry_internal(self, dynprompt, node_id, ancestors, order_mapping):
if not dynprompt.has_node(node_id):
return
inputs = dynprompt.get_node(node_id)["inputs"]
input_keys = sorted(inputs.keys())
for key in input_keys:
if is_link(inputs[key]):
ancestor_id = inputs[key][0]
if ancestor_id not in order_mapping:
ancestors.append(ancestor_id)
order_mapping[ancestor_id] = len(ancestors) - 1
self.get_ordered_ancestry_internal(dynprompt, ancestor_id, ancestors, order_mapping)
class BasicCache:
def __init__(self, key_class):
self.key_class = key_class
self.initialized = False
self.dynprompt: DynamicPrompt
self.cache_key_set: CacheKeySet
self.cache = {}
self.subcaches = {}
def set_prompt(self, dynprompt, node_ids, is_changed_cache):
self.dynprompt = dynprompt
self.cache_key_set = self.key_class(dynprompt, node_ids, is_changed_cache)
self.is_changed_cache = is_changed_cache
self.initialized = True
def all_node_ids(self):
assert self.initialized
node_ids = self.cache_key_set.all_node_ids()
for subcache in self.subcaches.values():
node_ids = node_ids.union(subcache.all_node_ids())
return node_ids
def _clean_cache(self):
preserve_keys = set(self.cache_key_set.get_used_keys())
to_remove = []
for key in self.cache:
if key not in preserve_keys:
to_remove.append(key)
for key in to_remove:
del self.cache[key]
def _clean_subcaches(self):
preserve_subcaches = set(self.cache_key_set.get_used_subcache_keys())
to_remove = []
for key in self.subcaches:
if key not in preserve_subcaches:
to_remove.append(key)
for key in to_remove:
del self.subcaches[key]
def clean_unused(self):
assert self.initialized
self._clean_cache()
self._clean_subcaches()
def _set_immediate(self, node_id, value):
assert self.initialized
cache_key = self.cache_key_set.get_data_key(node_id)
self.cache[cache_key] = value
def _get_immediate(self, node_id):
if not self.initialized:
return None
cache_key = self.cache_key_set.get_data_key(node_id)
if cache_key in self.cache:
return self.cache[cache_key]
else:
return None
def _ensure_subcache(self, node_id, children_ids):
subcache_key = self.cache_key_set.get_subcache_key(node_id)
subcache = self.subcaches.get(subcache_key, None)
if subcache is None:
subcache = BasicCache(self.key_class)
self.subcaches[subcache_key] = subcache
subcache.set_prompt(self.dynprompt, children_ids, self.is_changed_cache)
return subcache
def _get_subcache(self, node_id):
assert self.initialized
subcache_key = self.cache_key_set.get_subcache_key(node_id)
if subcache_key in self.subcaches:
return self.subcaches[subcache_key]
else:
return None
def recursive_debug_dump(self):
result = []
for key in self.cache:
result.append({"key": key, "value": self.cache[key]})
for key in self.subcaches:
result.append({"subcache_key": key, "subcache": self.subcaches[key].recursive_debug_dump()})
return result
class HierarchicalCache(BasicCache):
def __init__(self, key_class):
super().__init__(key_class)
def _get_cache_for(self, node_id):
assert self.dynprompt is not None
parent_id = self.dynprompt.get_parent_node_id(node_id)
if parent_id is None:
return self
hierarchy = []
while parent_id is not None:
hierarchy.append(parent_id)
parent_id = self.dynprompt.get_parent_node_id(parent_id)
cache = self
for parent_id in reversed(hierarchy):
cache = cache._get_subcache(parent_id)
if cache is None:
return None
return cache
def get(self, node_id):
cache = self._get_cache_for(node_id)
if cache is None:
return None
return cache._get_immediate(node_id)
def set(self, node_id, value):
cache = self._get_cache_for(node_id)
assert cache is not None
cache._set_immediate(node_id, value)
def ensure_subcache_for(self, node_id, children_ids):
cache = self._get_cache_for(node_id)
assert cache is not None
return cache._ensure_subcache(node_id, children_ids)
class LRUCache(BasicCache):
def __init__(self, key_class, max_size=100):
super().__init__(key_class)
self.max_size = max_size
self.min_generation = 0
self.generation = 0
self.used_generation = {}
self.children = {}
def set_prompt(self, dynprompt, node_ids, is_changed_cache):
super().set_prompt(dynprompt, node_ids, is_changed_cache)
self.generation += 1
for node_id in node_ids:
self._mark_used(node_id)
def clean_unused(self):
while len(self.cache) > self.max_size and self.min_generation < self.generation:
self.min_generation += 1
to_remove = [key for key in self.cache if self.used_generation[key] < self.min_generation]
for key in to_remove:
del self.cache[key]
del self.used_generation[key]
if key in self.children:
del self.children[key]
self._clean_subcaches()
def get(self, node_id):
self._mark_used(node_id)
return self._get_immediate(node_id)
def _mark_used(self, node_id):
cache_key = self.cache_key_set.get_data_key(node_id)
if cache_key is not None:
self.used_generation[cache_key] = self.generation
def set(self, node_id, value):
self._mark_used(node_id)
return self._set_immediate(node_id, value)
def ensure_subcache_for(self, node_id, children_ids):
# Just uses subcaches for tracking 'live' nodes
super()._ensure_subcache(node_id, children_ids)
self.cache_key_set.add_keys(children_ids)
self._mark_used(node_id)
cache_key = self.cache_key_set.get_data_key(node_id)
self.children[cache_key] = []
for child_id in children_ids:
self._mark_used(child_id)
self.children[cache_key].append(self.cache_key_set.get_data_key(child_id))
return self
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