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0d80452 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | # Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
import torch
from lerobot.optim.optimizers import AdamConfig
from lerobot.optim.schedulers import VQBeTSchedulerConfig
@pytest.fixture
def model_params():
return [torch.nn.Parameter(torch.randn(10, 10))]
@pytest.fixture
def optimizer(model_params):
optimizer = AdamConfig().build(model_params)
# Dummy step to populate state
loss = sum(param.sum() for param in model_params)
loss.backward()
optimizer.step()
return optimizer
@pytest.fixture
def scheduler(optimizer):
config = VQBeTSchedulerConfig(num_warmup_steps=10, num_vqvae_training_steps=20, num_cycles=0.5)
return config.build(optimizer, num_training_steps=100)
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