2024-08-15 13:37:30 +00:00
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from comfy_execution.graph_utils import GraphBuilder, is_link
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from comfy_execution.graph import ExecutionBlocker
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Execution Model Inversion (#2666)
* Execution Model Inversion
This PR inverts the execution model -- from recursively calling nodes to
using a topological sort of the nodes. This change allows for
modification of the node graph during execution. This allows for two
major advantages:
1. The implementation of lazy evaluation in nodes. For example, if a
"Mix Images" node has a mix factor of exactly 0.0, the second image
input doesn't even need to be evaluated (and visa-versa if the mix
factor is 1.0).
2. Dynamic expansion of nodes. This allows for the creation of dynamic
"node groups". Specifically, custom nodes can return subgraphs that
replace the original node in the graph. This is an incredibly
powerful concept. Using this functionality, it was easy to
implement:
a. Components (a.k.a. node groups)
b. Flow control (i.e. while loops) via tail recursion
c. All-in-one nodes that replicate the WebUI functionality
d. and more
All of those were able to be implemented entirely via custom nodes,
so those features are *not* a part of this PR. (There are some
front-end changes that should occur before that functionality is
made widely available, particularly around variant sockets.)
The custom nodes associated with this PR can be found at:
https://github.com/BadCafeCode/execution-inversion-demo-comfyui
Note that some of them require that variant socket types ("*") be
enabled.
* Allow `input_info` to be of type `None`
* Handle errors (like OOM) more gracefully
* Add a command-line argument to enable variants
This allows the use of nodes that have sockets of type '*' without
applying a patch to the code.
* Fix an overly aggressive assertion.
This could happen when attempting to evaluate `IS_CHANGED` for a node
during the creation of the cache (in order to create the cache key).
* Fix Pyright warnings
* Add execution model unit tests
* Fix issue with unused literals
Behavior should now match the master branch with regard to undeclared
inputs. Undeclared inputs that are socket connections will be used while
undeclared inputs that are literals will be ignored.
* Make custom VALIDATE_INPUTS skip normal validation
Additionally, if `VALIDATE_INPUTS` takes an argument named `input_types`,
that variable will be a dictionary of the socket type of all incoming
connections. If that argument exists, normal socket type validation will
not occur. This removes the last hurdle for enabling variant types
entirely from custom nodes, so I've removed that command-line option.
I've added appropriate unit tests for these changes.
* Fix example in unit test
This wouldn't have caused any issues in the unit test, but it would have
bugged the UI if someone copy+pasted it into their own node pack.
* Use fstrings instead of '%' formatting syntax
* Use custom exception types.
* Display an error for dependency cycles
Previously, dependency cycles that were created during node expansion
would cause the application to quit (due to an uncaught exception). Now,
we'll throw a proper error to the UI. We also make an attempt to 'blame'
the most relevant node in the UI.
* Add docs on when ExecutionBlocker should be used
* Remove unused functionality
* Rename ExecutionResult.SLEEPING to PENDING
* Remove superfluous function parameter
* Pass None for uneval inputs instead of default
This applies to `VALIDATE_INPUTS`, `check_lazy_status`, and lazy values
in evaluation functions.
* Add a test for mixed node expansion
This test ensures that a node that returns a combination of expanded
subgraphs and literal values functions correctly.
* Raise exception for bad get_node calls.
* Minor refactor of IsChangedCache.get
* Refactor `map_node_over_list` function
* Fix ui output for duplicated nodes
* Add documentation on `check_lazy_status`
* Add file for execution model unit tests
* Clean up Javascript code as per review
* Improve documentation
Converted some comments to docstrings as per review
* Add a new unit test for mixed lazy results
This test validates that when an output list is fed to a lazy node, the
node will properly evaluate previous nodes that are needed by any inputs
to the lazy node.
No code in the execution model has been changed. The test already
passes.
* Allow kwargs in VALIDATE_INPUTS functions
When kwargs are used, validation is skipped for all inputs as if they
had been mentioned explicitly.
* List cached nodes in `execution_cached` message
This was previously just bugged in this PR.
2024-08-15 15:21:11 +00:00
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from .tools import VariantSupport
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NUM_FLOW_SOCKETS = 5
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@VariantSupport()
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class TestWhileLoopOpen:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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inputs = {
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"required": {
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"condition": ("BOOLEAN", {"default": True}),
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},
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"optional": {
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},
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}
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for i in range(NUM_FLOW_SOCKETS):
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inputs["optional"][f"initial_value{i}"] = ("*",)
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return inputs
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RETURN_TYPES = tuple(["FLOW_CONTROL"] + ["*"] * NUM_FLOW_SOCKETS)
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RETURN_NAMES = tuple(["FLOW_CONTROL"] + [f"value{i}" for i in range(NUM_FLOW_SOCKETS)])
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FUNCTION = "while_loop_open"
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CATEGORY = "Testing/Flow"
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def while_loop_open(self, condition, **kwargs):
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values = []
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for i in range(NUM_FLOW_SOCKETS):
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values.append(kwargs.get(f"initial_value{i}", None))
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return tuple(["stub"] + values)
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@VariantSupport()
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class TestWhileLoopClose:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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inputs = {
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"required": {
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"flow_control": ("FLOW_CONTROL", {"rawLink": True}),
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"condition": ("BOOLEAN", {"forceInput": True}),
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},
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"optional": {
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},
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"hidden": {
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"dynprompt": "DYNPROMPT",
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"unique_id": "UNIQUE_ID",
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}
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}
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for i in range(NUM_FLOW_SOCKETS):
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inputs["optional"][f"initial_value{i}"] = ("*",)
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return inputs
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RETURN_TYPES = tuple(["*"] * NUM_FLOW_SOCKETS)
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RETURN_NAMES = tuple([f"value{i}" for i in range(NUM_FLOW_SOCKETS)])
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FUNCTION = "while_loop_close"
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CATEGORY = "Testing/Flow"
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def explore_dependencies(self, node_id, dynprompt, upstream):
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node_info = dynprompt.get_node(node_id)
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if "inputs" not in node_info:
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return
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for k, v in node_info["inputs"].items():
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if is_link(v):
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parent_id = v[0]
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if parent_id not in upstream:
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upstream[parent_id] = []
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self.explore_dependencies(parent_id, dynprompt, upstream)
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upstream[parent_id].append(node_id)
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def collect_contained(self, node_id, upstream, contained):
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if node_id not in upstream:
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return
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for child_id in upstream[node_id]:
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if child_id not in contained:
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contained[child_id] = True
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self.collect_contained(child_id, upstream, contained)
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def while_loop_close(self, flow_control, condition, dynprompt=None, unique_id=None, **kwargs):
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assert dynprompt is not None
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if not condition:
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# We're done with the loop
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values = []
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for i in range(NUM_FLOW_SOCKETS):
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values.append(kwargs.get(f"initial_value{i}", None))
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return tuple(values)
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# We want to loop
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upstream = {}
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# Get the list of all nodes between the open and close nodes
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self.explore_dependencies(unique_id, dynprompt, upstream)
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contained = {}
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open_node = flow_control[0]
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self.collect_contained(open_node, upstream, contained)
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contained[unique_id] = True
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contained[open_node] = True
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# We'll use the default prefix, but to avoid having node names grow exponentially in size,
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# we'll use "Recurse" for the name of the recursively-generated copy of this node.
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graph = GraphBuilder()
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for node_id in contained:
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original_node = dynprompt.get_node(node_id)
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node = graph.node(original_node["class_type"], "Recurse" if node_id == unique_id else node_id)
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node.set_override_display_id(node_id)
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for node_id in contained:
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original_node = dynprompt.get_node(node_id)
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node = graph.lookup_node("Recurse" if node_id == unique_id else node_id)
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assert node is not None
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for k, v in original_node["inputs"].items():
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if is_link(v) and v[0] in contained:
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parent = graph.lookup_node(v[0])
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assert parent is not None
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node.set_input(k, parent.out(v[1]))
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else:
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node.set_input(k, v)
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new_open = graph.lookup_node(open_node)
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assert new_open is not None
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for i in range(NUM_FLOW_SOCKETS):
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key = f"initial_value{i}"
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new_open.set_input(key, kwargs.get(key, None))
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my_clone = graph.lookup_node("Recurse")
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assert my_clone is not None
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result = map(lambda x: my_clone.out(x), range(NUM_FLOW_SOCKETS))
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return {
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"result": tuple(result),
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"expand": graph.finalize(),
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}
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@VariantSupport()
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class TestExecutionBlockerNode:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(cls):
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inputs = {
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"required": {
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"input": ("*",),
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"block": ("BOOLEAN",),
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"verbose": ("BOOLEAN", {"default": False}),
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},
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}
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return inputs
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RETURN_TYPES = ("*",)
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RETURN_NAMES = ("output",)
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FUNCTION = "execution_blocker"
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CATEGORY = "Testing/Flow"
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def execution_blocker(self, input, block, verbose):
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if block:
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return (ExecutionBlocker("Blocked Execution" if verbose else None),)
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return (input,)
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FLOW_CONTROL_NODE_CLASS_MAPPINGS = {
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"TestWhileLoopOpen": TestWhileLoopOpen,
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"TestWhileLoopClose": TestWhileLoopClose,
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"TestExecutionBlocker": TestExecutionBlockerNode,
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}
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FLOW_CONTROL_NODE_DISPLAY_NAME_MAPPINGS = {
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"TestWhileLoopOpen": "While Loop Open",
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"TestWhileLoopClose": "While Loop Close",
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"TestExecutionBlocker": "Execution Blocker",
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}
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