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46 行
1.7 KiB
46 行
1.7 KiB
import unittest.mock as mock
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from mlagents.trainers import TrainerMetrics
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class TestTrainerMetrics:
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def test_field_names(self):
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field_names = [
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"Brain name",
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"Time to update policy",
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"Time since start of training",
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"Time for last experience collection",
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"Number of experiences used for training",
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"Mean return",
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]
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from mlagents.trainers.trainer_metrics import FIELD_NAMES
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assert FIELD_NAMES == field_names
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@mock.patch(
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"mlagents.trainers.trainer_metrics.time", mock.MagicMock(return_value=42)
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)
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def test_experience_collection_timer(self):
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mock_path = "fake"
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mock_brain_name = "fake"
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trainer_metrics = TrainerMetrics(path=mock_path, brain_name=mock_brain_name)
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trainer_metrics.start_experience_collection_timer()
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trainer_metrics.end_experience_collection_timer()
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assert trainer_metrics.delta_last_experience_collection == 0
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@mock.patch(
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"mlagents.trainers.trainer_metrics.time", mock.MagicMock(return_value=42)
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)
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def test_policy_update_timer(self):
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mock_path = "fake"
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mock_brain_name = "fake"
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fake_buffer_length = 350
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fake_mean_return = 0.3
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trainer_metrics = TrainerMetrics(path=mock_path, brain_name=mock_brain_name)
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trainer_metrics.start_experience_collection_timer()
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trainer_metrics.end_experience_collection_timer()
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trainer_metrics.start_policy_update_timer(
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number_experiences=fake_buffer_length, mean_return=fake_mean_return
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)
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trainer_metrics.end_policy_update()
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fake_row = [mock_brain_name, 0, 0, 0, 350, "0.300"]
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assert trainer_metrics.rows[0] == fake_row
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