chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,76 @@
+# Copyright (c) 2022 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.
+
+import os
+import sys
+import tempfile
+import unittest
+
+
+class TestCustomCPUProfilerPlugin(unittest.TestCase):
+    def setUp(self):
+        # compile so and set to current path
+        cur_dir = os.path.dirname(os.path.abspath(__file__))
+        self.temp_dir = tempfile.TemporaryDirectory()
+        cmd = 'cd {} \
+            && git clone --depth 1 {} \
+            && cd PaddleCustomDevice \
+            && git fetch origin \
+            && git checkout {} -b dev \
+            && cd backends/custom_cpu \
+            && mkdir build && cd build && cmake .. -DPython_EXECUTABLE={} -DWITH_TESTING=OFF && make -j8'.format(
+            self.temp_dir.name,
+            os.getenv('PLUGIN_URL'),
+            os.getenv('PLUGIN_TAG'),
+            sys.executable,
+        )
+        os.system(cmd)
+
+        # set environment for loading and registering compiled custom kernels
+        # only valid in current process
+        os.environ['CUSTOM_DEVICE_ROOT'] = os.path.join(
+            cur_dir,
+            f'{self.temp_dir.name}/PaddleCustomDevice/backends/custom_cpu/build',
+        )
+
+    def tearDown(self):
+        self.temp_dir.cleanup()
+        del os.environ['CUSTOM_DEVICE_ROOT']
+
+    def test_custom_profiler(self):
+        import paddle
+        from paddle import profiler
+
+        paddle.set_device('custom_cpu')
+
+        x = paddle.to_tensor([1, 2, 3])
+        p = profiler.Profiler(
+            targets=[
+                profiler.ProfilerTarget.CPU,
+                profiler.ProfilerTarget.CUSTOM_DEVICE,
+            ]
+        )
+        p.start()
+        for iter in range(10):
+            x = x + 1
+            p.step()
+        p.stop()
+        p.summary()
+
+
+if __name__ == '__main__':
+    if os.name == 'nt' or sys.platform.startswith('darwin'):
+        # only support Linux now
+        sys.exit()
+    unittest.main()