62 lines
2.2 KiB
Python
62 lines
2.2 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 unittest.mock import Mock
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import pytest
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import torch
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from pytorch_lightning.loops.utilities import _extract_hiddens, _set_sampler_epoch
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from pytorch_lightning.utilities.exceptions import MisconfigurationException
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def test_extract_hiddens():
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# tbptt not enabled, no hiddens return
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training_step_output = 1 # anything
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hiddens = _extract_hiddens(training_step_output, 0)
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assert hiddens is None
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# tbptt enabled, hiddens return
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hiddens = torch.tensor(321.12, requires_grad=True)
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training_step_output = {"hiddens": hiddens}
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hiddens = _extract_hiddens(training_step_output, 2)
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assert "hiddens" in training_step_output
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assert not hiddens.requires_grad
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# tbptt not enabled, hiddens return
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with pytest.raises(MisconfigurationException, match='returned "hiddens" .* but `truncated_bptt_steps` is disabled'):
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_extract_hiddens(training_step_output, 0)
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# tbptt enabled, no hiddens return
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with pytest.raises(MisconfigurationException, match="enabled `truncated_bptt_steps` but did not `return"):
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_extract_hiddens(None, 1)
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def test_set_sampler_epoch():
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# No samplers
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dataloader = Mock()
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dataloader.sampler = None
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dataloader.batch_sampler = None
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_set_sampler_epoch(dataloader, 55)
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# set_epoch not callable
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dataloader = Mock()
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dataloader.sampler.set_epoch = None
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dataloader.batch_sampler.set_epoch = None
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_set_sampler_epoch(dataloader, 55)
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# set_epoch callable
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dataloader = Mock()
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_set_sampler_epoch(dataloader, 55)
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dataloader.sampler.set_epoch.assert_called_once_with(55)
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dataloader.batch_sampler.set_epoch.assert_called_once_with(55)
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