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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import numpy as np
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import torch
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from modelopt.torch.utils import torch_to_numpy
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def test_convert_input_to_numpy():
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list_input = [torch.rand(1, 3, 224, 224), torch.rand(1, 3, 224, 224)]
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outputs = torch_to_numpy(list_input)
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# Number of elements in the list
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assert len(outputs) == 2
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assert len(outputs[0]) == len(outputs[1]) == 1
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# Type check
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for output in outputs:
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for element in output:
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assert isinstance(element, np.ndarray)
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