Antonio Cordero BalcazarandCopilot
04119b169e
* Added combinatorial shuffle. * A1111: Improved combinatorial with hiresfix. * Some refactoring. * Update of AI test instructions. Co-authored-by: Copilot <copilot@github.com>
76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
from .base_tests import InputTuple, TestPromptPostProcessorBase
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if __name__ == "__main__":
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raise SystemExit("This script must not be run directly")
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class TestPerformance(TestPromptPostProcessorBase):
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def setUp(self): # pylint: disable=arguments-differ
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super().setUp(enable_file_logging=False)
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# Performance tests
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def test_parser_performance_simple_simpleparser(
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self,
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): # performance test with a large prompt without new constructs
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large_prompt = ", ".join(
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["(this:1.2) is a [test] using a [simple|low complexity] prompt with <lora:test:1>"] * 15
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)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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def test_parser_performance_simple_fullparser(
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self,
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): # performance test with a large prompt without new constructs but using full parser
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# we trick it to use the full parser by including some characters
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large_prompt = "{__${x:}}" + ", ".join(
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["(this:1.2) is a [test] using a [simple|low complexity] prompt with <lora:test:1>"] * 15
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)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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def test_parser_performance_complex_fullparser(
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self,
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): # performance test with a large prompt with new constructs (full parser)
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large_prompt = ", ".join(["__yaml/wildcard1__, (__yaml/wildcard2__), __yaml/wildcard3__, {one|two|three}"] * 15)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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# the following tests are performance tests with only one kind of the old constructs
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# same number of constructs and approximately the same full length
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def test_parser_performance_simple_attention(self): # performance test with only attention
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large_prompt = ", ".join(["(one:1.2) two (three) four [five] six"] * 20)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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def test_parser_performance_simple_schedules(self): # performance test with only schedules
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large_prompt = ", ".join(["[one:1:0.5] two [three:0.8] four [five:5:0.2] six"] * 20)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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def test_parser_performance_simple_alternation(self): # performance test with only alternation
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large_prompt = ", ".join(["[one|1] two [three|3] four [five|5] six"] * 20)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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def test_parser_performance_simple_extranetwork(self): # performance test with only extra networks
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large_prompt = ", ".join(["<lora:one:1> two <lora:three:1> four <lora:five:1> six"] * 20)
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self.process(
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InputTuple(large_prompt, ""),
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ppp="nocup",
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)
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