/* 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 Licnse. */ #include "paddle/fluid/operators/arg_min_max_op_base.h" #include "paddle/fluid/operators/npu_op_runner.h" namespace paddle { namespace operators { using Tensor = framework::Tensor; using NPUDeviceContext = platform::NPUDeviceContext; template struct VisitDataArgNPUMaxFunctor { const framework::ExecutionContext& ctx; explicit VisitDataArgNPUMaxFunctor(const framework::ExecutionContext& ctx) : ctx(ctx) {} template void apply() const { auto& x = *(ctx.Input("X")); auto& out = *(ctx.Output("Out")); out.template mutable_data(ctx.GetPlace()); auto axis = ctx.Attr("axis"); auto dtype = ctx.Attr("dtype"); auto stream = ctx.template device_context().stream(); NpuOpRunner runner; runner.SetType("ArgMaxV2") .AddInput(x) .AddInput(std::vector{axis}) .AddOutput(out) .AddAttrDataType("dtype", dtype) .Run(stream); } }; template class ArgMaxNPUKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto& dtype = ctx.Attr("dtype"); if (dtype < 0) { framework::VisitDataTypeTiny(static_cast( framework::proto::VarType::INT64), VisitDataArgNPUMaxFunctor(ctx)); return; } framework::VisitDataTypeTiny( static_cast(dtype), VisitDataArgNPUMaxFunctor(ctx)); } }; } // namespace operators } // namespace paddle namespace ops = paddle::operators; REGISTER_OP_NPU_KERNEL(arg_max, ops::ArgMaxNPUKernel, ops::ArgMaxNPUKernel);