103 lines
3.5 KiB
Python
103 lines
3.5 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 copy import deepcopy
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import pytest
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from pytorch_lightning.trainer.progress import BaseProgress, OptimizerProgress, Progress, Tracker
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def test_progress_getattr_setattr():
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p = Tracker(ready=10, completed=None)
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# can read
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assert p.completed is None
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# can't read non-existing attr
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with pytest.raises(AttributeError, match="object has no attribute 'non_existing_attr'"):
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p.non_existing_attr
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# can set new attr
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p.non_existing_attr = 10
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# can't write unused attr
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with pytest.raises(AttributeError, match="'completed' attribute is meant to be unused"):
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p.completed = 10
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with pytest.raises(TypeError, match="unsupported operand type"):
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# default python error, would need to override `__getattribute__`
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# but we want to allow reading the `None` value
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p.completed += 10
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def test_progress_reset():
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p = Tracker(ready=1, started=2, completed=None)
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p.reset()
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assert p == Tracker(completed=None)
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def test_progress_repr():
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assert repr(Tracker(ready=None, started=None)) == "Tracker(processed=0, completed=0)"
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@pytest.mark.parametrize("attr", ("ready", "started", "processed", "completed"))
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def test_base_progress_increment(attr):
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p = Progress()
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fn = getattr(p, f"increment_{attr}")
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fn()
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expected = Tracker(**{attr: 1})
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assert p.total == expected
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assert p.current == expected
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def test_base_progress_from_defaults():
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actual = Progress.from_defaults(completed=5, started=None)
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expected = Progress(total=Tracker(started=None, completed=5), current=Tracker(started=None, completed=5))
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assert actual == expected
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def test_epoch_loop_progress_increment_sequence():
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"""Test sequences for incrementing batches reads and epochs."""
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batch = Progress()
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batch.increment_ready()
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assert batch.total == Tracker(ready=1)
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assert batch.current == Tracker(ready=1)
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batch.increment_started()
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assert batch.total == Tracker(ready=1, started=1)
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assert batch.current == Tracker(ready=1, started=1)
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batch.increment_processed()
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assert batch.total == Tracker(ready=1, started=1, processed=1)
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assert batch.current == Tracker(ready=1, started=1, processed=1)
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batch.increment_completed()
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assert batch.total == Tracker(ready=1, started=1, processed=1, completed=1)
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assert batch.current == Tracker(ready=1, started=1, processed=1, completed=1)
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def test_optimizer_progress_default_factory():
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"""
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Ensure that the defaults are created appropiately. If `default_factory` was not used, the default would
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be shared between instances.
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"""
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p1 = OptimizerProgress()
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p2 = OptimizerProgress()
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p1.step.increment_completed()
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assert p1.step.total.completed == p1.step.current.completed
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assert p1.step.total.completed == 1
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assert p2.step.total.completed == 0
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def test_deepcopy():
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_ = deepcopy(BaseProgress())
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_ = deepcopy(Progress())
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_ = deepcopy(Tracker())
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