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86 lines
3.1 KiB
86 lines
3.1 KiB
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <thrust/device_vector.h>
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#include "paddle/fluid/framework/ddim.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/where_index_op.h"
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#include "paddle/fluid/platform/cuda_primitives.h"
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#include "paddle/fluid/platform/for_range.h"
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namespace paddle {
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namespace operators {
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using CUDADeviceContext = paddle::platform::CUDADeviceContext;
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template <typename T>
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class CUDAWhereIndexKernel : 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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auto* condition = context.Input<framework::Tensor>("Condition");
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auto* out = context.Output<framework::Tensor>("Out");
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// TODO(zhoukunsheng): Should optimize to ensure GPU is faster than CPU.
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framework::Tensor cond_cpu;
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framework::TensorCopy(*condition, platform::CPUPlace(), &cond_cpu);
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const T* cond_data = cond_cpu.data<T>();
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int64_t numel = cond_cpu.numel();
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auto dims = cond_cpu.dims();
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int rank = dims.size();
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thrust::host_vector<int64_t> h_true_index;
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for (int64_t i = 0; i < numel; i++) {
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if (static_cast<bool>(cond_data[i])) {
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h_true_index.push_back(i);
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}
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}
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thrust::device_vector<int64_t> d_true_index = h_true_index;
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int64_t* ptr_true_index = thrust::raw_pointer_cast(d_true_index.data());
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size_t true_num = h_true_index.size();
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out->Resize(framework::make_ddim({static_cast<int64_t>(true_num), rank}));
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auto out_ptr = out->mutable_data<int64_t>(context.GetPlace());
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if (true_num == 0) {
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return;
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}
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thrust::host_vector<int64_t> h_stride(rank, 0);
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h_stride[rank - 1] = 1;
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for (int i = rank - 2; i >= 0; i--) {
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h_stride[i] = h_stride[i + 1] * dims[i + 1];
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}
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thrust::device_vector<int64_t> d_stride = h_stride;
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int64_t* ptr_stride = thrust::raw_pointer_cast(d_stride.data());
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auto& dev_ctx = context.template device_context<CUDADeviceContext>();
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WhereIndexFunctor<int64_t> functor(ptr_true_index, true_num, ptr_stride,
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rank, out_ptr);
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platform::ForRange<CUDADeviceContext> for_range(dev_ctx, true_num);
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for_range(functor);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(where_index, ops::CUDAWhereIndexKernel<int64_t>,
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ops::CUDAWhereIndexKernel<int>,
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ops::CUDAWhereIndexKernel<bool>,
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ops::CUDAWhereIndexKernel<float>,
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ops::CUDAWhereIndexKernel<double>);
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