71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
# Copyright The PyTorch Lightning team.
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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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from torch import nn
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from pytorch_lightning.core.lightning import LightningModule
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from pytorch_lightning.utilities.meta import init_meta_context, is_on_meta_device, materialize_module
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from tests.helpers.runif import RunIf
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class MLP(nn.Module):
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def __init__(self, num_layers: int):
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super().__init__()
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self.layer = nn.Sequential(*[nn.Linear(1, 1) for _ in range(num_layers)] + [nn.Dropout(), nn.LayerNorm(1)])
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class BoringModel(LightningModule):
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def __init__(self, num_layers: int):
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super().__init__()
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self.save_hyperparameters()
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self.layer = nn.Sequential(*[nn.Linear(1, 1) for _ in range(self.hparams.num_layers)])
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@RunIf(standalone=True, min_torch="1.10.0")
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def test_init_meta_context():
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with init_meta_context():
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m = nn.Linear(in_features=1, out_features=1)
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assert isinstance(m, nn.Linear)
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assert m.weight.device.type == "meta"
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assert is_on_meta_device(m)
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mlp = MLP(4)
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assert mlp.layer[0].weight.device.type == "meta"
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mlp = materialize_module(mlp)
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assert mlp.layer[0].weight.device.type == "cpu"
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assert not is_on_meta_device(mlp)
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assert not is_on_meta_device(nn.Module())
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model = BoringModel(4)
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assert model.layer[0].weight.device.type == "meta"
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materialize_module(model)
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assert model.layer[0].weight.device.type == "cpu"
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mlp = MLP(4)
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assert mlp.layer[0].weight.device.type == "cpu"
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# no-op as already materialized.
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materialize_module(mlp)
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assert mlp.layer[0].weight.device.type == "cpu"
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m = nn.Linear(in_features=1, out_features=1)
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assert m.weight.device.type == "cpu"
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with init_meta_context():
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m = nn.Linear(in_features=1, out_features=1)
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assert m.weight.device.type == "meta"
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m = nn.Linear(in_features=1, out_features=1)
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assert m.weight.device.type == "cpu"
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