mirror of
https://github.com/huggingface/lerobot.git
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Simon Alibert
27 lines
689 B
Python
27 lines
689 B
Python
import pytest
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import torch
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from lerobot.common.optim.optimizers import AdamConfig
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from lerobot.common.optim.schedulers import VQBeTSchedulerConfig
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@pytest.fixture
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def model_params():
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return [torch.nn.Parameter(torch.randn(10, 10))]
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@pytest.fixture
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def optimizer(model_params):
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optimizer = AdamConfig().build(model_params)
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# Dummy step to populate state
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loss = sum(param.sum() for param in model_params)
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loss.backward()
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optimizer.step()
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return optimizer
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@pytest.fixture
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def scheduler(optimizer):
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config = VQBeTSchedulerConfig(num_warmup_steps=10, num_vqvae_training_steps=20, num_cycles=0.5)
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return config.build(optimizer, num_training_steps=100)
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