mxnet 训练错误: mxnet.base.MXNetError: [14:42:22] src/imperative/./imperative_utils.h:70: Check failed: inputs[i]->ctx().dev_mask() == ctx.dev_mask() (1 vs. 2) Operator stack require all inputs live on the same context. But the first argument is on gpu(0…

Nginx安装时Warning: File `src/core/nginx.h' has modification time 1.2e+07 s in the future问题的解决方法 问题场景: 解压文件:tar -zxvf nginx-1.7.4.tar.gz nginx-1.7.4/ nginx-1.7.4/auto/ nginx-1.7.4/conf/ tar: nginx-1.7.4/auto: time stamp 2014-08-05 19:13:10 is 12165186.0…

安装compass时,提示 Fetching: sass-.gem (%) Successfully installed sass- Fetching: ffi-.gem (%) Building native extensions. This could take a while... ERROR: Error installing compass: ERROR: Failed to build gem native extension. current directory: /usr/lib…

dragon/bidder_mod/config中增加: $ngx_addon_dir/src/proto_adapters/dragon_wax_adapter.cc \…

1.训练好模型之后,进行预测时出现这种错误: mxnet.::] src/ndarray/ndarray.cc:: Check failed: ,) to.shape=(,) 这种问题的解决方法,在全链接层fc中设置num_hidden你需要分类的个数和训练的模型的实际分类的个数参数不匹配,查看模型json,修改为对应值即可,这里修改成63及63个分类即可!…

insightface train.py 报错:mxnet.base.MXNetError: [05:53:50] src/operator/nn/./cudnn/cudnn_convolution-inl.h:287: Check failed: e == CUDNN_STATUS_SUCCESS (8 vs. 0) : cuDNN: CUDNN_STATUS_EXECUTION_FAILED 解决方案:可能是超过显存大小了,改小bach_size=36可以正常运行,本人用的显卡是RTX208…

为了insightface和mxnet较劲的一天 mxnet环境: 官网下载pyhton2.7版本的anaconda,随便找个安装教程 sh Anacondaxxxx.sh #一路默认即可,第二个回车符后修改自己想要安装的路径 #安装完毕后重启命令行,再次打开切换成了(base) conda create -n mxnet python=2.7 #等待配置,完成以后继续: conda activate mxnet cat /usr/local/cuda/version.txt #输出9.0.xx…

对原文有大量修改,如有疑惑,请移步原文. 参考链接:MXNet设计和实现简介 文章翻译于:https://mxnet.incubator.apache.org/architecture/index.html 一.MXNet System Architecture系统概览 This figure shows the major modules and components of the MXNet system and their interaction. The modules are: Run…

1. cuda windows安装 官网下载 代码: import mxnet as mxfrom mxnet import ndfrom mxnet.gluon import nn a = nd.array([1, 2, 3], ctx=mx.gpu(0))print(a) 异常:mxnet.base.MXNetError: [23:42:39] C:\Jenkins\workspace\mxnet-tag\mxnet\src\storage\storage.cc:143: Compile w…

1.im2rec.py调试错误:multiprocessing not available, fall back to single threaded encoding imread 经过查找发现是程序中args.num_thread默认的个数是1,改为大于1的数即可 2.:mxnet.base.MXNetError: [17:31:26] src/io/input_split_base.cc:173: Check failed: files_.size() != 0U (0 vs. 0) Ca…