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44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# LICENSE HEADER MANAGED BY add-license-header
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#
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# Copyright 2018 Kornia Team
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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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#
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from time import time
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import pytest
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import torch
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import kornia
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points_shapes = [(64, 1024**2, 3), (8192, 8192, 3), (1024**2, 64, 3)]
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# TODO: remove xfail once we have enough gpu bandwidth in the CI
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@pytest.mark.xfail(reason="May cause memory issues.")
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def test_performance_speed(device, dtype):
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if device.type != "cuda" or not torch.cuda.is_available():
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pytest.skip("Cuda not available in system,")
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print("Benchmarking project_points")
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for input_shape in points_shapes:
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data = torch.rand(input_shape).to(device)
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pose = torch.rand((1, 4, 4)).to(device)
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torch.cuda.synchronize(device)
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t = time()
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kornia.geometry.transform_points(pose, data)
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torch.cuda.synchronize(device)
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print(f"inp={input_shape}, dev={device}, {time() - t}, sec")
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