[MLU]add assign op of mlu device (#42591)

paddle/fluid/framework/tensor_util.h

@@ -180,6 +180,11 @@ void TensorFromArray(const T* src, const size_t& array_size,
         reinterpret_cast<const platform::NPUDeviceContext&>(ctx).stream());
   }
 #endif
+#ifdef PADDLE_WITH_MLU
+  else if (platform::is_mlu_place(dst_place)) {  // NOLINT
+    memory::Copy(dst_place, dst_ptr, src_place, src_ptr, size, nullptr);
+  }
+#endif
 #ifdef PADDLE_WITH_CUSTOM_DEVICE
   else if (platform::is_custom_place(dst_place)) {  // NOLINT
     memory::Copy(
@@ -247,9 +252,7 @@ void TensorFromVector(const std::vector<T>& src,
 #endif
 #ifdef PADDLE_WITH_MLU
   else if (platform::is_mlu_place(dst_place)) {  // NOLINT
-    memory::Copy(
-        dst_place, dst_ptr, src_place, src_ptr, size,
-        reinterpret_cast<const platform::MLUDeviceContext&>(ctx).stream());
+    memory::Copy(dst_place, dst_ptr, src_place, src_ptr, size, nullptr);
   }
 #endif
 #ifdef PADDLE_WITH_CUSTOM_DEVICE
@@ -448,9 +451,7 @@ inline void TensorToVector(const Tensor& src,
 #endif
 #ifdef PADDLE_WITH_MLU
   else if (platform::is_mlu_place(src.place())) {  // NOLINT
-    memory::Copy(
-        dst_place, dst_ptr, src.place(), src_ptr, size,
-        reinterpret_cast<const platform::MLUDeviceContext&>(ctx).stream());
+    memory::Copy(dst_place, dst_ptr, src.place(), src_ptr, size, nullptr);
   }
 #endif
 #ifdef PADDLE_WITH_CUSTOM_DEVICE

paddle/fluid/operators/assign_op_mlu.cc

+/* 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. */
+
+#include <string>
+
+#include "paddle/fluid/operators/assign_op.h"
+#include "paddle/fluid/operators/mlu/mlu_baseop.h"
+#include "paddle/fluid/platform/float16.h"
+
+namespace paddle {
+namespace operators {
+template <typename T>
+class AssignMLUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    auto* x = ctx.Input<framework::LoDTensor>("X");
+    auto* out = ctx.Output<framework::LoDTensor>("Out");
+    out->mutable_data<T>(ctx.GetPlace());
+
+    MLUCnnlTensorDesc x_desc(*x);
+    MLUCnnlTensorDesc out_desc(*out);
+    MLUCnnl::Assign(ctx, x_desc.get(), GetBasePtr(x), out_desc.get(),
+                    GetBasePtr(out));
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_MLU_KERNEL(assign, ops::AssignMLUKernel<int>,
+                       ops::AssignMLUKernel<float>,
+                       ops::AssignMLUKernel<plat::float16>,
+                       ops::AssignMLUKernel<bool>)

paddle/fluid/operators/assign_value_op_mlu.cc

+//   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.
+
+#include "paddle/fluid/operators/assign_value_op.h"
+
+namespace ops = paddle::operators;
+
+REGISTER_OP_MLU_KERNEL(assign_value, ops::AssignValueKernel<bool>,
+                       ops::AssignValueKernel<int>,
+                       ops::AssignValueKernel<int64_t>,
+                       ops::AssignValueKernel<float>);

python/paddle/fluid/tests/unittests/mlu/test_assign_op_mlu.py

+#  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.
+
+from __future__ import print_function
+
+import numpy as np
+import unittest
+import sys
+sys.path.append("..")
+from op_test import OpTest
+import paddle
+
+paddle.enable_static()
+SEED = 2022
+
+
+class TestAssign(OpTest):
+    def setUp(self):
+        self.set_mlu()
+        self.op_type = "assign"
+        self.init_dtype()
+
+        x = np.random.random([3, 3]).astype(self.dtype)
+        self.inputs = {'X': x}
+
+        self.attrs = {}
+        self.outputs = {'Out': x}
+
+    def set_mlu(self):
+        self.__class__.use_mlu = True
+        self.place = paddle.device.MLUPlace(0)
+
+    def init_dtype(self):
+        self.dtype = np.float32
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place)
+
+
+if __name__ == '__main__':
+    unittest.main()

python/paddle/fluid/tests/unittests/mlu/test_assign_value_op_mlu.py

+#   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.
+
+from __future__ import print_function
+
+import unittest
+import numpy
+import sys
+sys.path.append("..")
+
+import op_test
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.framework as framework
+import paddle.fluid.layers as layers
+
+paddle.enable_static()
+numpy.random.seed(2022)
+
+
+class TestAssignValueMLUOp(op_test.OpTest):
+    def setUp(self):
+        self.set_mlu()
+        self.op_type = "assign_value"
+        self.inputs = {}
+        self.attrs = {}
+        self.init_data()
+
+        self.attrs["shape"] = self.value.shape
+        self.attrs["dtype"] = framework.convert_np_dtype_to_dtype_(
+            self.value.dtype)
+        self.outputs = {"Out": self.value}
+
+    def set_mlu(self):
+        self.__class__.use_mlu = True
+        self.place = paddle.device.MLUPlace(0)
+
+    def init_data(self):
+        self.value = numpy.random.random(size=(2, 5)).astype(numpy.float32)
+        self.attrs["fp32_values"] = [float(v) for v in self.value.flat]
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place)
+
+
+class TestAssignValueMLUOp2(TestAssignValueMLUOp):
+    def init_data(self):
+        self.value = numpy.random.random(size=(2, 5)).astype(numpy.int32)
+        self.attrs["int32_values"] = [int(v) for v in self.value.flat]
+
+
+class TestAssignValueMLUOp3(TestAssignValueMLUOp):
+    def init_data(self):
+        self.value = numpy.random.random(size=(2, 5)).astype(numpy.int64)
+        self.attrs["int64_values"] = [int(v) for v in self.value.flat]
+
+
+class TestAssignValueMLUOp4(TestAssignValueMLUOp):
+    def init_data(self):
+        self.value = numpy.random.choice(
+            a=[False, True], size=(2, 5)).astype(numpy.bool)
+        self.attrs["bool_values"] = [int(v) for v in self.value.flat]
+
+
+if __name__ == '__main__':
+    unittest.main()