You can not select more than 25 topics
			Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
		
		
		
		
		
			
		
			
				
					
					
						
							65 lines
						
					
					
						
							2.3 KiB
						
					
					
				
			
		
		
	
	
							65 lines
						
					
					
						
							2.3 KiB
						
					
					
				/* Copyright (c) 2016 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/gather.cu.h"
 | 
						|
#include "paddle/fluid/operators/gather_op.h"
 | 
						|
#include "paddle/fluid/operators/scatter.cu.h"
 | 
						|
#include "paddle/fluid/operators/scatter_op.h"
 | 
						|
 | 
						|
namespace paddle {
 | 
						|
namespace operators {
 | 
						|
 | 
						|
template <typename T>
 | 
						|
class ScatterOpCUDAKernel : public framework::OpKernel<T> {
 | 
						|
 public:
 | 
						|
  void Compute(const framework::ExecutionContext &ctx) const override {
 | 
						|
    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
 | 
						|
                   "This kernel only runs on GPU device.");
 | 
						|
    auto *X = ctx.Input<Tensor>("X");
 | 
						|
    auto *Ids = ctx.Input<Tensor>("Ids");
 | 
						|
    auto *Updates = ctx.Input<Tensor>("Updates");
 | 
						|
    auto *Out = ctx.Output<Tensor>("Out");
 | 
						|
 | 
						|
    Out->ShareDataWith(*X);
 | 
						|
 | 
						|
    GPUScatterAssign<T>(ctx.device_context(), *Updates, *Ids, Out);
 | 
						|
  }
 | 
						|
};
 | 
						|
 | 
						|
template <typename T>
 | 
						|
class ScatterGradOpCUDAKernel : public framework::OpKernel<T> {
 | 
						|
 public:
 | 
						|
  void Compute(const framework::ExecutionContext &ctx) const override {
 | 
						|
    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
 | 
						|
                   "This kernel only runs on GPU device.");
 | 
						|
    auto *dX = ctx.Output<Tensor>(framework::GradVarName("X"));
 | 
						|
    auto *dUpdates = ctx.Output<Tensor>(framework::GradVarName("Updates"));
 | 
						|
    auto *Ids = ctx.Input<Tensor>("Ids");
 | 
						|
    auto *dOut = ctx.Input<Tensor>(framework::GradVarName("Out"));
 | 
						|
 | 
						|
    // In place gradient: dX = dO
 | 
						|
    dX->ShareDataWith(*dOut);
 | 
						|
    dUpdates->mutable_data<T>(ctx.GetPlace());
 | 
						|
    // Gradient by Gather: dUpdates = dO[Ids]
 | 
						|
    GPUGather<T>(ctx.device_context(), *dOut, *Ids, dUpdates);
 | 
						|
  }
 | 
						|
};
 | 
						|
 | 
						|
}  // namespace operators
 | 
						|
}  // namespace paddle
 | 
						|
 | 
						|
namespace ops = paddle::operators;
 | 
						|
REGISTER_OP_CUDA_KERNEL(scatter, ops::ScatterOpCUDAKernel<float>);
 | 
						|
REGISTER_OP_CUDA_KERNEL(scatter_grad, ops::ScatterGradOpCUDAKernel<float>);
 |