mirror of
https://github.com/brycedrennan/imaginAIry
synced 2024-11-05 12:00:15 +00:00
95a8fa31a9
while the previous version did produce much better blending it also makes images that lack detail for some reason. tests: Added more tests to help catch this sort of thing earlies fix: found that median blur is really slow, so I made sure we only do it on downsampled masks. Was taking like 3 minutes to run on the large pearl girl picture on M1 - docs: update examples
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
import logging
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import os
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import sys
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import pytest
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from urllib3 import HTTPConnectionPool
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from imaginairy import api
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from imaginairy.suppress_logs import suppress_annoying_logs_and_warnings
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from imaginairy.utils import (
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fix_torch_group_norm,
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fix_torch_nn_layer_norm,
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get_device,
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platform_appropriate_autocast,
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)
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from tests import TESTS_FOLDER
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if "pytest" in str(sys.argv):
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suppress_annoying_logs_and_warnings()
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logger = logging.getLogger(__name__)
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@pytest.fixture(scope="session", autouse=True)
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def pre_setup():
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api.IMAGINAIRY_SAFETY_MODE = "disabled"
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suppress_annoying_logs_and_warnings()
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# test_output_folder = f"{TESTS_FOLDER}/test_output"
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# delete the testoutput folder and recreate it
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# rmtree(test_output_folder)
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os.makedirs(f"{TESTS_FOLDER}/test_output", exist_ok=True)
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orig_urlopen = HTTPConnectionPool.urlopen
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def urlopen_tattle(self, method, url, *args, **kwargs):
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# traceback.print_stack()
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print(os.environ.get("PYTEST_CURRENT_TEST"))
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print(f"{method} {self.host}{url}")
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result = orig_urlopen(self, method, url, *args, **kwargs)
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print(f"{method} {self.host}{url} DONE")
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return result
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HTTPConnectionPool.urlopen = urlopen_tattle
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with fix_torch_nn_layer_norm(), fix_torch_group_norm(), platform_appropriate_autocast():
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yield
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@pytest.fixture()
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def filename_base_for_outputs(request):
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filename_base = f"{TESTS_FOLDER}/test_output/{request.node.name}_{get_device()}_"
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return filename_base
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