chore: import upstream snapshot with attribution

test/custom_op/test_context_pool.py

@@ -0,0 +1,57 @@
+# 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 unittest
+
+import numpy as np
+from utils import extra_cc_args, extra_nvcc_args, paddle_includes
+
+import paddle
+from paddle.utils.cpp_extension import get_build_directory, load
+from paddle.utils.cpp_extension.extension_utils import run_cmd
+
+# Because Windows don't use docker, the shared lib already exists in the
+# cache dir, it will not be compiled again unless the shared lib is removed.
+file = f'{get_build_directory()}\\context_pool_jit\\context_pool_jit.pyd'
+if os.name == 'nt' and os.path.isfile(file):
+    cmd = f'del {file}'
+    run_cmd(cmd, True)
+
+# Compile and load custom op Just-In-Time.
+custom_ops = load(
+    name='context_pool_jit',
+    sources=['context_pool_test_op.cc'],
+    extra_include_paths=paddle_includes,  # add for Coverage CI
+    extra_cxx_cflags=extra_cc_args,  # test for cflags
+    extra_cuda_cflags=extra_nvcc_args,  # test for cflags
+    verbose=True,
+)
+
+
+class TestContextPool(unittest.TestCase):
+    def setUp(self):
+        self.devices = ['cpu']
+        if paddle.is_compiled_with_cuda():
+            self.devices.append('gpu')
+
+    def test_use_context_pool(self):
+        x = paddle.ones([2, 2], dtype='float32')
+        out = custom_ops.context_pool_test(x)
+
+        np.testing.assert_array_equal(x.numpy(), out.numpy())
+
+
+if __name__ == '__main__':
+    unittest.main()