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2026-07-13 12:40:42 +08:00

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Python

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