55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
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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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import torch.nn as nn
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import importlib
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def zero_module(module):
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if isinstance(module, nn.Linear):
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module.weight.data.zero_()
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if module.bias is not None:
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module.bias.data.zero_()
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return module
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def get_obj_from_str(string, reload=False):
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module, cls = string.rsplit(".", 1)
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if reload:
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module_imp = importlib.import_module(module)
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importlib.reload(module_imp)
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return getattr(importlib.import_module(module, package=None), cls)
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def instantiate_from_config(config):
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if not "target" in config:
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if config == '__is_first_stage__':
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return None
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elif config == "__is_unconditional__":
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return None
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raise KeyError("Expected key `target` to instantiate.")
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return get_obj_from_str(config["target"])(**config.get("params", dict()))
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def update_dict(old_dict, new_dict):
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old_keys = old_dict.keys()
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for new_key in new_dict.keys():
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if new_key in old_keys:
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if type(old_dict[new_key]) == list:
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if type(new_dict[new_key]) == list:
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old_dict[new_key].extend(new_dict[new_key])
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else:
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old_dict[new_key].append(new_dict[new_key])
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else:
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old_dict[new_key] = [old_dict[new_key]]
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old_dict[new_key].append(new_dict[new_key])
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else:
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old_dict[new_key] = new_dict[new_key]
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return old_dict |