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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import pytest
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import unittest
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from tml.projects.twhin.models.models import TwhinModel, apply_optimizers
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from tml.projects.twhin.models.test_models import twhin_model_config, twhin_data_config
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from tml.projects.twhin.optimizer import build_optimizer
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from tml.model import maybe_shard_model
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from tml.common.testing_utils import mock_pg
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import torch
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from torch.nn import functional as F
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def test_twhin_optimizer():
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model_config = twhin_model_config()
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data_config = twhin_data_config()
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loss_fn = F.binary_cross_entropy_with_logits
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with mock_pg():
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model = TwhinModel(model_config, data_config)
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apply_optimizers(model, model_config)
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model = maybe_shard_model(model, device=torch.device("cpu"))
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optimizer, _ = build_optimizer(model, model_config)
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# make sure there is one combined fused optimizer and one translation optimizer
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assert len(optimizer.optimizers) == 2
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fused_opt_tup, _ = optimizer.optimizers
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_, fused_opt = fused_opt_tup
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# make sure there are two tables for which the fused opt has parameters
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assert len(fused_opt.param_groups) == 2
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