CUDA Error: out of memory: Cannot allocate memory detector: ./src/utils.c:325: error: Assertion `0' failed. if CUDNN_HALF=0,batch=64,subdivisions =32 is work. train YOLO v4 Sign up for freeto join this conversation on GitHub. Already have an account?Sign in to comment...
run_conv_sample.sh文件中制定了几种调用的参数 http://conv_sample.cc流程分析 从main函数开始分析 1、cudnnDataType_t 定义数据类型 cudnn_ops_infer.h中定义的支持的数据如下: /* * CUDNN data type */ typedef enum { CUDNN_DATA_FLOAT = 0, CUDNN_DATA_DOUBLE = 1, CUDNN_DATA_HALF = 2, C...
CUDNN_HALF=1 OpenCV版本: 4.1.1演示0: compute_capability = 620，cudnn_half = 0，GPU: NVIDIA...
对于* _ALGO_WINOGRAD_NONFUSED以外的算法,以下是运行Tensor Core操作的一些要求: 输入,过滤和输出描述符(如适用,xDesc,yDesc,wDesc,dxDesc,dyDesc和dwDesc)具有dataType = CUDNN_DATA_HALF。 输入和输出特征映射的数量是8的倍数。 过滤器类型为CUDNN_TENSOR_NCHW或CUDNN_TENSOR_NHWC。 使用CUDNN_TENSOR_NHWC...
输入,过滤和输出描述符(如适用,xDesc,yDesc,wDesc,dxDesc,dyDesc和dwDesc)具有dataType = CUDNN_DATA_HALF。 输入和输出特征映射的数量是8的倍数。 过滤器类型为CUDNN_TENSOR_NCHW或CUDNN_TENSOR_NHWC。 使用CUDNN_TENSOR_NHWC类型的滤波器时,需要将输入,滤波器和输出数据指针(X,Y,W,dX,dY和dW,如适用)...
NVIDIA Optimized Frameworks Deep learning frameworks offer building blocks for designing, training, and validating deep neural networks through a high-level programming interface. cuDNN Developer Survey Help improve cuDNN by responding to a few questions regarding your development environment and use cases...
CUDA-version:10020(11010), cuDNN:7.6.5,CUDNN_HALF=1,GPUcount:1CUDNN_HALF=1#10020即CUDA10.2版本 #11010即当前显卡驱动可以支持CUDA11.1OpenCVversion:4.5.10: compute_capability =750, cudnn_half =1,GPU:GeForceGTX1660Tinet.optimized_memory =0mini_batch=1, batch =8, time_steps =1, train =...
benchmark){algoPerf->algo=search::DEFAULT_ALGO;if(args.params.dataType==CUDNN_DATA_HALF){algoPerf->mathType=CUDNN_TENSOR_OP_MATH;}else{algoPerf->mathType=CUDNN_DEFAULT_MATH;}search::getWorkspaceSize(args,algoPerf->algo,&(algoPerf->memory));return;}// 再次检查一下缓存中有没有已经对该...
algoPerf->algo = search::DEFAULT_ALGO;if(args.params.dataType == CUDNN_DATA_HALF) { algoPerf->mathType = CUDNN_TENSOR_OP_MATH; }else{ algoPerf->mathType = CUDNN_DEFAULT_MATH; } search::getWorkspaceSize(args, algoPerf->algo, &(algoPerf->memory));return; ...
/darknet detector test cfg/coco.data cfg/yolov4.cfg CUDA-version: 11000 (11000), cuDNN: 8.1.1, CUDNN_HALF=1, GPU count: 1 CUDNN_HALF=1 OpenCV version: 4.4.0 0 : compute_capability = 610, cudnn_half = 0, GPU: GeForce GTX 1070 net.optimize...