98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
from argparse import Namespace
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import pytest
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import torch
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import os
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from pytorch_lightning.core.saving import load_hparams_from_yaml
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from pytorch_lightning.loggers import CSVLogger
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from pytorch_lightning.loggers.csv_logs import ExperimentWriter
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def test_file_logger_automatic_versioning(tmpdir):
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"""Verify that automatic versioning works"""
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root_dir = tmpdir.mkdir("exp")
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root_dir.mkdir("version_0")
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root_dir.mkdir("version_1")
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logger = CSVLogger(save_dir=tmpdir, name="exp")
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assert logger.version == 2
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def test_file_logger_manual_versioning(tmpdir):
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"""Verify that manual versioning works"""
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root_dir = tmpdir.mkdir("exp")
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root_dir.mkdir("version_0")
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root_dir.mkdir("version_1")
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root_dir.mkdir("version_2")
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logger = CSVLogger(save_dir=tmpdir, name="exp", version=1)
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assert logger.version == 1
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def test_file_logger_named_version(tmpdir):
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"""Verify that manual versioning works for string versions, e.g. '2020-02-05-162402' """
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exp_name = "exp"
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tmpdir.mkdir(exp_name)
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expected_version = "2020-02-05-162402"
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logger = CSVLogger(save_dir=tmpdir, name=exp_name, version=expected_version)
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logger.log_hyperparams({"a": 1, "b": 2})
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logger.save()
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assert logger.version == expected_version
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assert os.listdir(tmpdir / exp_name) == [expected_version]
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assert os.listdir(tmpdir / exp_name / expected_version)
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@pytest.mark.parametrize("name", ['', None])
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def test_file_logger_no_name(tmpdir, name):
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"""Verify that None or empty name works"""
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logger = CSVLogger(save_dir=tmpdir, name=name)
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logger.save()
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assert logger.root_dir == tmpdir
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assert os.listdir(tmpdir / 'version_0')
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@pytest.mark.parametrize("step_idx", [10, None])
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def test_file_logger_log_metrics(tmpdir, step_idx):
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logger = CSVLogger(tmpdir)
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metrics = {
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"float": 0.3,
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"int": 1,
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"FloatTensor": torch.tensor(0.1),
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"IntTensor": torch.tensor(1)
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}
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logger.log_metrics(metrics, step_idx)
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logger.save()
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path_csv = os.path.join(logger.log_dir, ExperimentWriter.NAME_METRICS_FILE)
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with open(path_csv, 'r') as fp:
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lines = fp.readlines()
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assert len(lines) == 2
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assert all([n in lines[0] for n in metrics])
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def test_file_logger_log_hyperparams(tmpdir):
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logger = CSVLogger(tmpdir)
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hparams = {
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"float": 0.3,
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"int": 1,
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"string": "abc",
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"bool": True,
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"dict": {'a': {'b': 'c'}},
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"list": [1, 2, 3],
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"namespace": Namespace(foo=Namespace(bar='buzz')),
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"layer": torch.nn.BatchNorm1d
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}
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logger.log_hyperparams(hparams)
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logger.save()
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path_yaml = os.path.join(logger.log_dir, ExperimentWriter.NAME_HPARAMS_FILE)
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params = load_hparams_from_yaml(path_yaml)
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assert all([n in params for n in hparams])
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