// 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 "paddle/fluid/operators/increment_op.h" #include "paddle/fluid/operators/npu_op_runner.h" #include "paddle/fluid/platform/float16.h" namespace paddle { namespace framework { class OpDesc; class Variable; } // namespace framework namespace imperative { class OpBase; } // namespace imperative } // namespace paddle namespace paddle { namespace operators { template class IncrementalNPUKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { auto* x_tensor = context.Input("X"); auto* out_tensor = context.Output("Out"); float step = context.Attr("step"); out_tensor->mutable_data(context.GetPlace()); Tensor step_tensor(x_tensor->type()); step_tensor.mutable_data({1}, context.GetPlace()); FillNpuTensorWithConstant(&step_tensor, static_cast(step)); const auto& runner = NpuOpRunner("Add", {*x_tensor, step_tensor}, {*out_tensor}, {}); auto stream = context.template device_context() .stream(); runner.Run(stream); } }; } // namespace operators } // namespace paddle namespace plat = paddle::platform; namespace ops = paddle::operators; REGISTER_OP_NPU_KERNEL( increment, ops::IncrementalNPUKernel, ops::IncrementalNPUKernel, ops::IncrementalNPUKernel, ops::IncrementalNPUKernel)