| 110 | } |
| 111 | |
| 112 | void PoolingForwardImpl::AlgoCUDNN::exec(const ExecArgs& args) const { |
| 113 | TensorND src = *args.src_tensor; |
| 114 | TensorND dst = *args.dst_tensor; |
| 115 | auto wsb = get_workspace_bundle(args.workspace.raw_ptr, args); |
| 116 | auto ctypecvt = CompTypeCvter<dtype::BFloat16, dtype::Float32>( |
| 117 | concrete_handle(args.handle), &wsb); |
| 118 | if (args.layout_src->dtype.enumv() == DTypeTrait<dtype::BFloat16>::enumv) { |
| 119 | ctypecvt.src_to_comp_type(*args.src_tensor, src) |
| 120 | .src_to_comp_type(*args.dst_tensor, dst); |
| 121 | } |
| 122 | { |
| 123 | dt_float32 alpha = 1.0f, beta = 0.0f; |
| 124 | TensorDesc src_desc, dst_desc; |
| 125 | src_desc.set(src.layout, args.opr->param().format); |
| 126 | dst_desc.set(dst.layout, args.opr->param().format); |
| 127 | |
| 128 | cudnnPoolingMode_t mode; |
| 129 | init_mode(args, mode); |
| 130 | |
| 131 | cudnnPoolingDescriptor_t cudnn_desc; |
| 132 | cudnn_check(cudnnCreatePoolingDescriptor(&cudnn_desc)); |
| 133 | cudnn_check(cudnnSetPooling2dDescriptor( |
| 134 | cudnn_desc, mode, CUDNN_NOT_PROPAGATE_NAN, args.opr->param().window_h, |
| 135 | args.opr->param().window_w, args.opr->param().pad_h, |
| 136 | args.opr->param().pad_w, args.opr->param().stride_h, |
| 137 | args.opr->param().stride_w)); |
| 138 | cudnn_check(cudnnPoolingForward( |
| 139 | args.handle->cudnn_handle(), cudnn_desc, &alpha, src_desc.desc, |
| 140 | src.raw_ptr(), &beta, dst_desc.desc, dst.raw_ptr())); |
| 141 | cudnn_check(cudnnDestroyPoolingDescriptor(cudnn_desc)); |
| 142 | } |
| 143 | if (args.layout_src->dtype.enumv() == DTypeTrait<dtype::BFloat16>::enumv) { |
| 144 | ctypecvt.comp_to_dst_type(dst, *args.dst_tensor); |
| 145 | } |
| 146 | } |
| 147 | |
| 148 | #if CUDNN_VERSION >= 6000 |
| 149 | bool PoolingForwardImpl::AlgoCUDNNMAXDETERMINISTIC::is_available( |
nothing calls this directly
no test coverage detected