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53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from dataclasses import dataclass
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import pytest
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import torch
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from nemo.collections.common.data.utils import move_data_to_device
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@dataclass
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class _Batch:
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data: torch.Tensor
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@pytest.mark.skipif(not torch.cuda.is_available(), reason="This test requires GPUs.")
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@pytest.mark.parametrize(
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"batch",
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[
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torch.tensor([0]),
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(torch.tensor([0]),),
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[torch.tensor([0])],
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{"data": torch.tensor([0])},
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_Batch(torch.tensor([0])),
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"not a tensor",
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],
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)
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def test_move_data_to_device(batch):
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cuda_batch = move_data_to_device(batch, device="cuda")
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assert type(batch) == type(cuda_batch)
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if isinstance(batch, _Batch):
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assert cuda_batch.data.is_cuda
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elif isinstance(batch, dict):
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assert cuda_batch["data"].is_cuda
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elif isinstance(batch, (list, tuple)):
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assert cuda_batch[0].is_cuda
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elif isinstance(batch, torch.Tensor):
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assert cuda_batch.is_cuda
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else:
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assert cuda_batch == batch
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