ludwig-ai--ludwig
wehub-resource-sync
593b94c120
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46 行
1.9 KiB
Python
46 行
1.9 KiB
Python
# Copyright (c) 2023 Predibase, Inc., 2019 Uber Technologies, 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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# ==============================================================================
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import torch
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from ludwig.constants import TYPE
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from ludwig.utils.misc_utils import get_from_registry
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from ludwig.utils.torch_utils import initializer_registry
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def _create_and_init(init_fn, init_kwargs, *args, **kwargs):
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t = torch.empty(*args, **kwargs)
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init_fn(t, **init_kwargs)
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return t
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def get_initializer(parameters):
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if parameters is None:
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return lambda *args, **kwargs: _create_and_init(initializer_registry[parameters], {}, *args, **kwargs)
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elif isinstance(parameters, str):
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initializer_fun = get_from_registry(parameters, initializer_registry)
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return lambda *args, **kwargs: _create_and_init(initializer_fun, {}, *args, **kwargs)
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elif isinstance(parameters, dict):
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initializer_fun = get_from_registry(parameters[TYPE], initializer_registry)
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init_kwargs = parameters.copy()
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del init_kwargs[TYPE]
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return lambda *args, **kwargs: _create_and_init(initializer_fun, init_kwargs, *args, **kwargs)
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else:
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raise ValueError(
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f"Initializers parameters should be either strings or dictionaries, "
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f"but the provided parameters are a {type(parameters)}. "
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f"Parameters values: {parameters}"
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)
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