|  | #include "caffe2/core/context_gpu.h" | 
|  | #include "caffe2/operators/floor_op.h" | 
|  | #include "caffe2/utils/math.h" | 
|  |  | 
|  | namespace caffe2 { | 
|  |  | 
|  | template <typename T> | 
|  | __global__ void FloorKernel(const int N, const T* X, T* Y) { | 
|  | CUDA_1D_KERNEL_LOOP(i, N) { | 
|  | Y[i] = std::floor(X[i]); | 
|  | } | 
|  | } | 
|  |  | 
|  | template <> | 
|  | bool FloorOp<float, CUDAContext>::RunOnDevice() { | 
|  | auto& X = Input(0); | 
|  |  | 
|  | CAFFE_ENFORCE_GT(X.numel(), 0); | 
|  | auto* Y = Output(0, X.sizes(), at::dtype<float>()); | 
|  | FloorKernel<<< | 
|  | CAFFE_GET_BLOCKS(X.numel()), | 
|  | CAFFE_CUDA_NUM_THREADS, | 
|  | 0, | 
|  | context_.cuda_stream()>>>( | 
|  | X.numel(), X.data<float>(), Y->template mutable_data<float>()); | 
|  | C10_CUDA_KERNEL_LAUNCH_CHECK(); | 
|  |  | 
|  | return true; | 
|  | } | 
|  |  | 
|  | REGISTER_CUDA_OPERATOR(Floor, FloorOp<float, CUDAContext>); | 
|  |  | 
|  | } // namespace caffe2 |