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Fix error with ExecutionBlocker and OUTPUT_IS_LIST (#4836)

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This change resolves an error when a node with OUTPUT_IS_LIST=(True,)
receives an ExecutionBlocker. I've also added a unit test for this case.
This commit is contained in:
guill
2024-09-08 06:48:47 -07:00
committed by GitHub
parent 32a60a7bac
commit a5da4d0b3e
2 changed files with 33 additions and 1 deletions
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26
tests/inference/test_execution.py
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@@ -496,3 +496,29 @@ class TestExecution:
assert len(images) == 1, "Should have 1 image"
assert numpy.array(images[0]).min() == 63 and numpy.array(images[0]).max() == 63, "Image should have value 0.25"
assert not result.did_run(test_node), "The execution should have been cached"
# This tests that nodes with OUTPUT_IS_LIST function correctly when they receive an ExecutionBlocker
# as input. We also test that when that list (containing an ExecutionBlocker) is passed to a node,
# only that one entry in the list is blocked.
def test_execution_block_list_output(self, client: ComfyClient, builder: GraphBuilder):
g = builder
image1 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
image2 = g.node("StubImage", content="WHITE", height=512, width=512, batch_size=1)
image3 = g.node("StubImage", content="BLACK", height=512, width=512, batch_size=1)
image_list = g.node("TestMakeListNode", value1=image1.out(0), value2=image2.out(0), value3=image3.out(0))
int1 = g.node("StubInt", value=1)
int2 = g.node("StubInt", value=2)
int3 = g.node("StubInt", value=3)
int_list = g.node("TestMakeListNode", value1=int1.out(0), value2=int2.out(0), value3=int3.out(0))
compare = g.node("TestIntConditions", a=int_list.out(0), b=2, operation="==")
blocker = g.node("TestExecutionBlocker", input=image_list.out(0), block=compare.out(0), verbose=False)
list_output = g.node("TestMakeListNode", value1=blocker.out(0))
output = g.node("PreviewImage", images=list_output.out(0))
result = client.run(g)
assert result.did_run(output), "The execution should have run"
images = result.get_images(output)
assert len(images) == 2, "Should have 2 images"
assert numpy.array(images[0]).min() == 0 and numpy.array(images[0]).max() == 0, "First image should be black"
assert numpy.array(images[1]).min() == 0 and numpy.array(images[1]).max() == 0, "Second image should also be black"