NPU Assign OP

paddle/fluid/operators/CMakeLists.txt

@@ -120,6 +120,7 @@ if (WITH_ASCEND)
 endif()
 
 if (WITH_ASCEND_CL)
+  cc_test(assign_op_test SRCS assign_op_test.cc DEPS assign_op)
   cc_library(npu_op_runner SRCS npu_op_runner.cc DEPS operator npu_info)
   set(COMMON_OP_DEPS ${COMMON_OP_DEPS} npu_op_runner)
 endif()

paddle/fluid/operators/assign_op_npu.cc

@@ -0,0 +1,64 @@
+/* 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. */
+
+#include <string>
+
+#include "paddle/fluid/operators/assign_op.h"
+#include "paddle/fluid/platform/float16.h"
+#include "paddle/fluid/operators/npu_op_runner.h"
+
+namespace paddle {
+namespace framework {
+class OpDesc;
+class Variable;
+}  // namespace framework
+namespace imperative {
+class OpBase;
+}  // namespace imperative
+namespace platform {
+struct CPUPlace;
+struct CUDAPlace;
+struct float16;
+}  // namespace platform
+}  // namespace paddle
+
+namespace paddle {
+namespace operators {
+template <typename DeviceContext, typename T>
+class AssignNPUKernel : 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());
+
+    auto runner = NpuOpRunner("Assign", {*out, *x}, {*out}, {});
+    auto stream =
+      ctx.template device_context<paddle::platform::NPUDeviceContext>()
+                .stream();
+    runner.Run(stream);
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_NPU_KERNEL(assign,
+    ops::AssignNPUKernel<paddle::platform::NPUDeviceContext, int>,
+    ops::AssignNPUKernel<paddle::platform::NPUDeviceContext, float>,
+    ops::AssignNPUKernel<paddle::platform::NPUDeviceContext, double>)
+

paddle/fluid/operators/assign_op_npu_test.cc

@@ -0,0 +1,85 @@
+/* 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. */
+
+#ifndef _WIN32
+#include <unistd.h>
+#endif
+
+#include <string>
+#include <thread>  // NOLINT
+#include <vector>
+
+#include "gtest/gtest.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/operator.h"
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/operators/dropout_op.h"
+#include "paddle/fluid/operators/math/math_function.h"
+#include "paddle/fluid/string/printf.h"
+
+namespace f = paddle::framework;
+namespace p = paddle::platform;
+namespace m = paddle::operators::math;
+
+USE_OP(assign);
+USE_OP_DEVICE_KERNEL(assign, NPU);
+
+template <typename T>
+void Compare(f::Scope* scope, const p::DeviceContext& ctx,
+             std::string op_type) {
+  // init
+  auto x = scope->Var("X");
+  auto tensor_x = x->GetMutable<f::LoDTensor>();
+
+  std::vector<T> init;
+  init.push_back(static_cast<T>(1.0));
+  init.push_back(static_cast<T>(2.0));
+  init.push_back(static_cast<T>(3.0));
+  init.push_back(static_cast<T>(4.0));
+
+  TensorFromVector(init, ctx, tensor_x);
+  tensor_x->Resize({4});
+
+  ctx.Wait();
+
+  auto place = ctx.GetPlace();
+  auto out = scope->Var("Out");
+  auto tensor_out = out->GetMutable<f::LoDTensor>();
+
+  auto op = f::OpRegistry::CreateOp(op_type,
+                    {{"X", {"X"}}},
+                    {{"Out", {"Out"}}},
+                    {});
+
+  op->Run(*scope, place);
+
+  std::vector<T> out_vec;
+  TensorToVector(*tensor_out, ctx, &out_vec);
+
+  ctx.Wait();
+
+  EXPECT_EQ((uint32_t)out_vec.size(), (uint32_t)4);
+  EXPECT_EQ(out_vec[0], static_cast<T>(1.0));
+  EXPECT_EQ(out_vec[1], static_cast<T>(2.0));
+  EXPECT_EQ(out_vec[2], static_cast<T>(3.0));
+  EXPECT_EQ(out_vec[3], static_cast<T>(4.0));
+}
+
+
+TEST(assign, NPU_fp32) {
+    f::Scope scope;
+    p::NPUDeviceContext ctx(p::NPUPlace(0));
+    Compare<float>(&scope, ctx, "assign");
+}
+
+

python/paddle/fluid/tests/unittests/test_assign_op_npu.py

@@ -0,0 +1,57 @@
+#  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
+from paddle.fluid import core
+
+paddle.enable_static()
+SEED = 2021
+
+
+@unittest.skipIf(not paddle.is_compiled_with_npu(),
+                 "core is not compiled with NPU")
+class TestAssign(OpTest):
+    def setUp(self):
+        self.set_npu()
+        self.place = paddle.NPUPlace(0)
+        self.op_type = "assign"
+        self.init_dtype()
+
+        x = np.rand.random([3,3])
+        self.inputs = {'X': x}
+
+        self.attrs = {}
+        self.outputs = {'Out': x}
+
+    def set_npu(self):
+        self.__class__.use_npu = True
+
+    def init_dtype(self):
+        self.dtype = np.int64
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place, check_dygraph=False)
+
+
+if __name__ == '__main__':
+    unittest.main()
+