add ut

python/paddle/fluid/tests/unittests/npu/test_memcpy_op_npu.py

@@ -0,0 +1,103 @@
+#  Copyright (c) 2021 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 print_function
+
+import numpy as np
+import unittest
+import sys
+sys.path.append("..")
+from op_test import OpTest
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.core as core
+
+paddle.enable_static()
+SEED = 2021
+
+
+@unittest.skipIf(not paddle.is_compiled_with_npu(),
+                 "core is not compiled with NPU")
+class TestMemcpy_FillConstant(unittest.TestCase):
+    def get_prog(self):
+        paddle.enable_static()
+        main_program = Program()
+        with program_guard(main_program):
+            cpu_var_name = "tensor@Cpu"
+            npu_var_name = "tensor@Npu"
+            cpu_var = main_program.global_block().create_var(
+                name=cpu_var_name,
+                shape=[10, 10],
+                dtype='float32',
+                persistable=False,
+                stop_gradient=True)
+            npu_var = main_program.global_block().create_var(
+                name=npu_var_name,
+                shape=[10, 10],
+                dtype='float32',
+                persistable=False,
+                stop_gradient=True)
+            main_program.global_block().append_op(
+                type="fill_constant",
+                outputs={"Out": npu_var_name},
+                attrs={
+                    "shape": [10, 10],
+                    "dtype": npu_var.dtype,
+                    "value": 1.0,
+                    "place_type": 1
+                })
+            main_program.global_block().append_op(
+                type="fill_constant",
+                outputs={"Out": cpu_var_name},
+                attrs={
+                    "shape": [10, 10],
+                    "dtype": npu_var.dtype,
+                    "value": 0.0,
+                    "place_type": 2
+                })
+        return main_program, npu_var, cpu_var
+
+    def test_npu_cpoy_to_cpu(self):
+        main_program, npu_var, cpu_var = self.get_prog()
+        main_program.global_block().append_op(
+            type='memcpy',
+            inputs={'X': npu_var},
+            outputs={'Out': cpu_var},
+            attrs={'dst_place_type': 3})
+        place = fluid.NPUPlace(0)
+        exe = fluid.Executor(place)
+        npu_, cpu_ = exe.run(main_program,
+                             feed={},
+                             fetch_list=[npu_var.name, cpu_var.name])
+        self.assertTrue(np.allclose(npu_, cpu_))
+        self.assertTrue(np.allclose(cpu_, np.ones((10, 10))))
+
+    def test_cpu_cpoy_gpu(self):
+        main_program, npu_var, cpu_var = self.get_prog()
+        main_program.global_block().append_op(
+            type='memcpy',
+            inputs={'X': cpu_var},
+            outputs={'Out': npu_var},
+            attrs={'dst_place_type': 2})
+        place = fluid.NPUPlace(0)
+        exe = fluid.Executor(place)
+        npu_, cpu_ = exe.run(main_program,
+                             feed={},
+                             fetch_list=[npu_var.name, cpu_var.name])
+        self.assertTrue(np.allclose(npu_, cpu_))
+        self.assertTrue(np.allclose(npu_, np.zeros((10, 10))))
+
+
+if __name__ == '__main__':
+    unittest.main()