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71 lines
2.8 KiB
71 lines
2.8 KiB
// Copyright (c) 2020 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/trace_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 DeviceContext, typename T>
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class TraceCUDAKernel : 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* input = context.Input<framework::Tensor>("Input");
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auto* out = context.Output<framework::Tensor>("Out");
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const int64_t offset = context.Attr<int>("offset");
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const int64_t dim1 = context.Attr<int>("axis1");
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const int64_t dim2 = context.Attr<int>("axis2");
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T* out_data = out->mutable_data<T>(context.GetPlace());
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const framework::Tensor diag =
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Diagonal<DeviceContext, T>(context, input, offset, dim1, dim2);
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if (diag.numel() > 0) {
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auto stream = context.cuda_device_context().stream();
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std::vector<int> reduce_dims;
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reduce_dims.push_back(out->dims().size());
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TensorReduce<T, T, cub::Sum, IdentityFunctor<T>>(
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diag, out, 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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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace platform = paddle::platform;
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REGISTER_OP_CUDA_KERNEL(
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trace, ops::TraceCUDAKernel<paddle::platform::CUDADeviceContext, int>,
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ops::TraceCUDAKernel<paddle::platform::CUDADeviceContext, int64_t>,
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ops::TraceCUDAKernel<paddle::platform::CUDADeviceContext,
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platform::float16>,
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ops::TraceCUDAKernel<paddle::platform::CUDADeviceContext, float>,
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ops::TraceCUDAKernel<paddle::platform::CUDADeviceContext, double>);
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REGISTER_OP_CUDA_KERNEL(
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trace_grad, ops::TraceGradKernel<paddle::platform::CUDADeviceContext, int>,
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ops::TraceGradKernel<paddle::platform::CUDADeviceContext, int64_t>,
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ops::TraceGradKernel<paddle::platform::CUDADeviceContext,
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platform::float16>,
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ops::TraceGradKernel<paddle::platform::CUDADeviceContext, float>,
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ops::TraceGradKernel<paddle::platform::CUDADeviceContext, double>);
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