chore: import upstream snapshot with attribution

test/custom_kernel/test_custom_kernel_dot.py

@@ -0,0 +1,85 @@
+# 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 unittest
+
+import numpy as np
+
+
+# use dot <CPU, ANY, INT8> as test case.
+class TestCustomKernelDot(unittest.TestCase):
+    def setUp(self):
+        # compile so and set to current path
+        cur_dir = os.path.dirname(os.path.abspath(__file__))
+
+        # --inplace to place output so file to current dir
+        cmd = f'cd {cur_dir} && {sys.executable} custom_kernel_dot_setup.py build_ext --inplace'
+        os.system(cmd)
+
+    def test_custom_kernel_dot_run(self):
+        # test dot run
+        x_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
+        y_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
+        result = np.sum(x_data * y_data, axis=1).reshape([2, 1])
+
+        import paddle
+
+        paddle.set_device('cpu')
+        x = paddle.to_tensor(x_data)
+        y = paddle.to_tensor(y_data)
+        out = paddle.dot(x, y)
+
+        np.testing.assert_array_equal(
+            out.numpy(),
+            result,
+            err_msg=f'custom kernel dot out: {out.numpy()},\n numpy dot out: {result}',
+        )
+
+
+class TestCustomKernelDotC(unittest.TestCase):
+    def setUp(self):
+        # compile so and set to current path
+        cur_dir = os.path.dirname(os.path.abspath(__file__))
+
+        # --inplace to place output so file to current dir
+        cmd = f'cd {cur_dir} && {sys.executable} custom_kernel_dot_c_setup.py build_ext --inplace'
+        os.system(cmd)
+
+    def test_custom_kernel_dot_run(self):
+        # test dot run
+        x_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
+        y_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
+        result = np.sum(x_data * y_data, axis=1).reshape([2, 1])
+
+        import paddle
+
+        paddle.set_device('cpu')
+        x = paddle.to_tensor(x_data)
+        y = paddle.to_tensor(y_data)
+        out = paddle.dot(x, y)
+
+        np.testing.assert_array_equal(
+            out.numpy(),
+            result,
+            err_msg=f'custom kernel dot out: {out.numpy()},\n numpy dot out: {result}',
+        )
+
+
+if __name__ == '__main__':
+    if os.name == 'nt' or sys.platform.startswith('darwin'):
+        # only support Linux now
+        sys.exit()
+    unittest.main()