chore: import upstream snapshot with attribution

test/cinn/test_op_transform.py

@@ -0,0 +1,245 @@
+#!/usr/bin/env python3
+
+# Copyright (c) 2021 CINN 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
+
+from test_utils import SingleOpTester
+
+import paddle
+from paddle import static
+from paddle.cinn import framework
+
+os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
+
+
+def matmul_util(inputs_data, input_shape, trans_a, trans_b, alpha):
+    main_program = static.Program()
+    paddle.enable_static()
+    with static.program_guard(main_program, static.Program()):
+        [input_x, input_y] = inputs_data
+        x = static.data(name='x', shape=input_shape[0], dtype='float32')
+        y = static.data(name='y', shape=input_shape[1], dtype='float32')
+        output = paddle.matmul(x, y, trans_a, trans_b)
+        output = paddle.scale(output, scale=alpha)
+        exe = static.Executor(paddle.CPUPlace())
+        exe.run(static.default_startup_program())
+        (res,) = exe.run(
+            static.default_main_program(),
+            feed={'x': input_x, 'y': input_y},
+            fetch_list=[output],
+        )
+        return res
+
+
+class OpTest_matmul_0(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[100, 32], [32, 100]]
+        self.output_shape = [[100, 100], [100, 100]]
+        self.trans_a = False
+        self.trans_b = False
+        self.alpha = 1.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_1(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[100, 32], [100, 32]]
+        self.output_shape = [[100, 100], [2, 32, 50]]
+        self.trans_a = False
+        self.trans_b = True
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_2(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[2, 3, 100, 32], [2, 3, 100, 32]]
+        self.output_shape = [[2, 3, 100, 100], [2, 3, 2, 100, 16]]
+        self.trans_a = False
+        self.trans_b = True
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_3(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[32, 100], [32, 100]]
+        self.output_shape = [[100, 100], [2, 100, 16]]
+        self.trans_a = True
+        self.trans_b = False
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_4(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[32, 100], [100]]
+        self.output_shape = [[32], [2, 100, 16]]
+        self.trans_a = False
+        self.trans_b = False
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_5(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[100], [100]]
+        self.output_shape = [[1], [1, 100, 1]]
+        self.trans_a = False
+        self.trans_b = False
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+class OpTest_matmul_6(SingleOpTester):
+    def init_testcase(self):
+        self.input_shape = [[32, 1], [1, 100]]
+        self.output_shape = [[32, 100], [2, 1, 50]]
+        self.trans_a = False
+        self.trans_b = False
+        self.alpha = 2.0
+        self.attrs = framework.NodeAttr()
+        self.attrs.set_attr("trans_a", self.trans_a)
+        self.attrs.set_attr("trans_b", self.trans_b)
+        self.attrs.set_attr("alpha", self.alpha)
+
+    def create_target_data(self, inputs_data, attrs):
+        return matmul_util(
+            inputs_data,
+            self.input_shape,
+            self.trans_a,
+            self.trans_b,
+            self.alpha,
+        )
+
+    def test_op(self):
+        self.init_testcase()
+        self.to_test_op(
+            self.input_shape, self.output_shape, "matmul", self.attrs, 0
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()