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#
# 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
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import pytest
import torch
from modulus.sym.utils.benchmark import timeit


skip_if_no_gpu = pytest.mark.skipif(
    not torch.cuda.is_available(), reason="There is no GPU to run this test"
)


@skip_if_no_gpu
def test_timeit():
    def func():
        torch.zeros(2**20, device="cuda").exp().cos().sin()

    cpu_timing_ms = timeit(func, cpu_timing=False)
    cuda_event_timing_ms = timeit(func, cpu_timing=True)
    assert cpu_timing_ms - cuda_event_timing_ms < 0.1


if __name__ == "__main__":
    test_timeit()
