58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. 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 __future__ import annotations
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import unittest
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import paddle
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from paddle.jit import sot
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from paddle.jit.sot.utils import strict_mode_guard
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class SimpleModel(paddle.nn.Layer):
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def __init__(self):
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super().__init__()
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self.conv1 = paddle.nn.Conv2D(3, 2, 3)
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self.conv2 = paddle.nn.Conv2D(2, 3, 3)
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def inner_fn(self, x):
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sot.psdb.fallback()
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x = self.conv1(x)
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x = self.conv2(x)
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return x
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def forward(self, x):
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x = self.conv1(x)
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x = self.conv2(x)
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self.inner_fn(x)
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return x
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class TestStepProfilerSmokeTest(unittest.TestCase):
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# Temporarily disable this test
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# @sot_step_profiler_guard(True)
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@strict_mode_guard(False)
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def test_step_profiler_smoke(self):
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model = SimpleModel()
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model = paddle.jit.to_static(model, full_graph=False)
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x = paddle.randn([1, 3, 32, 32])
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model(x)
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if __name__ == "__main__":
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unittest.main()
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