2022-05-31 06:27:59 -06:00
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# coding=utf-8
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# Copyright 2022 HuggingFace Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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2022-10-31 10:26:30 -06:00
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import json
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import os
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2022-05-31 06:27:59 -06:00
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import tempfile
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import unittest
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2022-10-31 10:26:30 -06:00
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import diffusers
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from diffusers import DDIMScheduler, EulerAncestralDiscreteScheduler, EulerDiscreteScheduler, PNDMScheduler, logging
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2022-07-20 07:42:50 -06:00
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from diffusers.configuration_utils import ConfigMixin, register_to_config
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from diffusers.utils.testing_utils import CaptureLogger
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2022-07-20 07:42:50 -06:00
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class SampleObject(ConfigMixin):
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config_name = "config.json"
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@register_to_config
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def __init__(
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self,
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a=2,
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b=5,
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c=(2, 5),
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d="for diffusion",
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e=[1, 3],
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):
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pass
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class SampleObject2(ConfigMixin):
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config_name = "config.json"
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@register_to_config
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def __init__(
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self,
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a=2,
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b=5,
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c=(2, 5),
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d="for diffusion",
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f=[1, 3],
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):
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pass
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class SampleObject3(ConfigMixin):
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config_name = "config.json"
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@register_to_config
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def __init__(
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self,
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a=2,
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b=5,
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c=(2, 5),
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d="for diffusion",
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e=[1, 3],
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f=[1, 3],
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):
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pass
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2022-06-09 04:36:37 -06:00
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class ConfigTester(unittest.TestCase):
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def test_load_not_from_mixin(self):
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with self.assertRaises(ValueError):
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ConfigMixin.from_config("dummy_path")
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def test_register_to_config(self):
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obj = SampleObject()
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config = obj.config
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assert config["a"] == 2
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assert config["b"] == 5
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assert config["c"] == (2, 5)
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assert config["d"] == "for diffusion"
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assert config["e"] == [1, 3]
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# init ignore private arguments
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obj = SampleObject(_name_or_path="lalala")
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config = obj.config
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assert config["a"] == 2
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assert config["b"] == 5
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assert config["c"] == (2, 5)
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assert config["d"] == "for diffusion"
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assert config["e"] == [1, 3]
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# can override default
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obj = SampleObject(c=6)
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config = obj.config
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assert config["a"] == 2
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assert config["b"] == 5
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assert config["c"] == 6
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assert config["d"] == "for diffusion"
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assert config["e"] == [1, 3]
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# can use positional arguments.
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obj = SampleObject(1, c=6)
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config = obj.config
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assert config["a"] == 1
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assert config["b"] == 5
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assert config["c"] == 6
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assert config["d"] == "for diffusion"
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assert config["e"] == [1, 3]
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def test_save_load(self):
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obj = SampleObject()
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config = obj.config
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assert config["a"] == 2
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assert config["b"] == 5
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assert config["c"] == (2, 5)
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assert config["d"] == "for diffusion"
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assert config["e"] == [1, 3]
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with tempfile.TemporaryDirectory() as tmpdirname:
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obj.save_config(tmpdirname)
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new_obj = SampleObject.from_config(tmpdirname)
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new_config = new_obj.config
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2022-06-17 03:55:02 -06:00
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# unfreeze configs
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config = dict(config)
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new_config = dict(new_config)
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assert config.pop("c") == (2, 5) # instantiated as tuple
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assert new_config.pop("c") == [2, 5] # saved & loaded as list because of json
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assert config == new_config
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2022-10-31 10:26:30 -06:00
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def test_save_load_from_different_config(self):
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obj = SampleObject()
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# mock add obj class to `diffusers`
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setattr(diffusers, "SampleObject", SampleObject)
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logger = logging.get_logger("diffusers.configuration_utils")
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with tempfile.TemporaryDirectory() as tmpdirname:
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obj.save_config(tmpdirname)
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with CaptureLogger(logger) as cap_logger_1:
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new_obj_1 = SampleObject2.from_config(tmpdirname)
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# now save a config parameter that is not expected
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with open(os.path.join(tmpdirname, SampleObject.config_name), "r") as f:
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data = json.load(f)
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data["unexpected"] = True
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with open(os.path.join(tmpdirname, SampleObject.config_name), "w") as f:
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json.dump(data, f)
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with CaptureLogger(logger) as cap_logger_2:
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new_obj_2 = SampleObject.from_config(tmpdirname)
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with CaptureLogger(logger) as cap_logger_3:
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new_obj_3 = SampleObject2.from_config(tmpdirname)
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assert new_obj_1.__class__ == SampleObject2
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assert new_obj_2.__class__ == SampleObject
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assert new_obj_3.__class__ == SampleObject2
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assert cap_logger_1.out == ""
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assert (
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cap_logger_2.out
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== "The config attributes {'unexpected': True} were passed to SampleObject, but are not expected and will"
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" be ignored. Please verify your config.json configuration file.\n"
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)
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assert cap_logger_2.out.replace("SampleObject", "SampleObject2") == cap_logger_3.out
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def test_save_load_compatible_schedulers(self):
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SampleObject2._compatible_classes = ["SampleObject"]
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SampleObject._compatible_classes = ["SampleObject2"]
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obj = SampleObject()
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# mock add obj class to `diffusers`
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setattr(diffusers, "SampleObject", SampleObject)
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setattr(diffusers, "SampleObject2", SampleObject2)
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logger = logging.get_logger("diffusers.configuration_utils")
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with tempfile.TemporaryDirectory() as tmpdirname:
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obj.save_config(tmpdirname)
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# now save a config parameter that is expected by another class, but not origin class
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with open(os.path.join(tmpdirname, SampleObject.config_name), "r") as f:
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data = json.load(f)
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data["f"] = [0, 0]
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data["unexpected"] = True
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with open(os.path.join(tmpdirname, SampleObject.config_name), "w") as f:
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json.dump(data, f)
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with CaptureLogger(logger) as cap_logger:
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new_obj = SampleObject.from_config(tmpdirname)
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assert new_obj.__class__ == SampleObject
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assert (
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cap_logger.out
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== "The config attributes {'unexpected': True} were passed to SampleObject, but are not expected and will"
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" be ignored. Please verify your config.json configuration file.\n"
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)
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def test_save_load_from_different_config_comp_schedulers(self):
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SampleObject3._compatible_classes = ["SampleObject", "SampleObject2"]
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SampleObject2._compatible_classes = ["SampleObject", "SampleObject3"]
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SampleObject._compatible_classes = ["SampleObject2", "SampleObject3"]
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obj = SampleObject()
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# mock add obj class to `diffusers`
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setattr(diffusers, "SampleObject", SampleObject)
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setattr(diffusers, "SampleObject2", SampleObject2)
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setattr(diffusers, "SampleObject3", SampleObject3)
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logger = logging.get_logger("diffusers.configuration_utils")
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logger.setLevel(diffusers.logging.INFO)
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with tempfile.TemporaryDirectory() as tmpdirname:
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obj.save_config(tmpdirname)
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with CaptureLogger(logger) as cap_logger_1:
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new_obj_1 = SampleObject.from_config(tmpdirname)
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with CaptureLogger(logger) as cap_logger_2:
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new_obj_2 = SampleObject2.from_config(tmpdirname)
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with CaptureLogger(logger) as cap_logger_3:
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new_obj_3 = SampleObject3.from_config(tmpdirname)
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assert new_obj_1.__class__ == SampleObject
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assert new_obj_2.__class__ == SampleObject2
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assert new_obj_3.__class__ == SampleObject3
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assert cap_logger_1.out == ""
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assert cap_logger_2.out == "{'f'} was not found in config. Values will be initialized to default values.\n"
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assert cap_logger_3.out == "{'f'} was not found in config. Values will be initialized to default values.\n"
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def test_load_ddim_from_pndm(self):
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logger = logging.get_logger("diffusers.configuration_utils")
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with CaptureLogger(logger) as cap_logger:
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ddim = DDIMScheduler.from_config("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler")
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assert ddim.__class__ == DDIMScheduler
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# no warning should be thrown
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assert cap_logger.out == ""
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def test_load_euler_from_pndm(self):
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logger = logging.get_logger("diffusers.configuration_utils")
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with CaptureLogger(logger) as cap_logger:
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euler = EulerDiscreteScheduler.from_config(
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"hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler"
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)
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assert euler.__class__ == EulerDiscreteScheduler
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# no warning should be thrown
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assert cap_logger.out == ""
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def test_load_euler_ancestral_from_pndm(self):
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logger = logging.get_logger("diffusers.configuration_utils")
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with CaptureLogger(logger) as cap_logger:
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euler = EulerAncestralDiscreteScheduler.from_config(
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"hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler"
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)
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assert euler.__class__ == EulerAncestralDiscreteScheduler
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# no warning should be thrown
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assert cap_logger.out == ""
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def test_load_pndm(self):
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logger = logging.get_logger("diffusers.configuration_utils")
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with CaptureLogger(logger) as cap_logger:
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pndm = PNDMScheduler.from_config("hf-internal-testing/tiny-stable-diffusion-torch", subfolder="scheduler")
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assert pndm.__class__ == PNDMScheduler
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# no warning should be thrown
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assert cap_logger.out == ""
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