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67 lines
2.2 KiB
67 lines
2.2 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/fluid/operators/reduce_ops/cub_reduce.h"
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#include "paddle/fluid/operators/reduce_ops/reduce_sum_op.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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struct IdentityFunctor {
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HOSTDEVICE explicit inline IdentityFunctor() {}
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HOSTDEVICE inline T operator()(const T& x) const { return x; }
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};
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template <typename T>
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class ReduceSumKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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bool reduce_all = context.Attr<bool>("reduce_all");
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auto* input = context.Input<Tensor>("X");
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auto* output = context.Output<Tensor>("Out");
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auto dims = context.Attr<std::vector<int>>("dim");
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bool keep_dim = context.Attr<bool>("keep_dim");
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std::vector<int> reduce_dims;
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if (reduce_all) {
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reduce_dims.resize(input->dims().size());
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for (int i = 0; i < reduce_dims.size(); ++i) reduce_dims[i] = i;
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} else {
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for (auto e : dims) {
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reduce_dims.push_back(e >= 0 ? e : e + input->dims().size());
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}
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}
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int reduce_num = 1;
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for (int i = 0; i < reduce_dims.size(); ++i) {
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reduce_num *= input->dims()[reduce_dims[i]];
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}
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auto stream = context.cuda_device_context().stream();
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TensorReduce<T, T, cub::Sum, IdentityFunctor<T>>(
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*input, output, reduce_dims, static_cast<T>(0), cub::Sum(),
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IdentityFunctor<T>(), stream);
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OP_CUDA_KERNEL(reduce_sum, ops::ReduceSumKernel<float>,
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ops::ReduceSumKernel<double>, ops::ReduceSumKernel<int>,
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ops::ReduceSumKernel<int64_t>);
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