问题描述:正常用cpu跑啥事没有,用gpu跑就报错。 机子:显卡RTX4060 (无所谓) idea:1.tensorflow和cuda版本不匹配 2.30系以后cuda版本要求10.0后 3.显卡占用的问题 搞了一个星期,找淘宝咸鱼,花了30也没有解决,还有报价3000!!!的,离谱。 解决方法:出现显存占用率很高,但是GPU利用率为0%的情况 - 灰信网(软件...
TensorFlow managed to detect my GPU, an NVIDIA GeForce RTX 4060 Laptop GPU, which is a good sign as the hardware is working correctly. However, I'm facing an issue: TensorFlow only detects the GPU when I install version 2.2. With newer versions, it doesn't detect the GPU. I've tried ...
如，想知道RTX 4060的计算能力，在搜索框中键入：RTX 4060即可（注意这里有1个空格）参考链接 [1] 强...
Every time I use pip to install tensorflow, it installs tensorflow_intel for me, which makes it impossible for me to use gpu to train models. I have an nvidia 4060 laptop, and cuda and cudnn are configured. And tf cannot recognize the gpu...
Python 3.11.0rc1 (provided by tensorflow docker image) Bazel version No response GCC/compiler version No response CUDA/cuDNN version 12.7 GPU model and memory NVIDIA GeForce RTX 4060 Ti 16G Current behavior? I Strictly followed the instructions provided in: ...
libtiff=4.3.0=h74060c4_2 - libwebp-base=1.2.1=h3422bc3_0 - libzlib=1.2.11=hee7b306_1013 - llvm-openmp=12.0.1=hf3c4609_1 - lz4-c=1.9.3=hbdafb3b_1 - markdown=3.3.6=pyhd8ed1ab_0 - markupsafe=2.0.1=py39h5161555_1 - matplotlib=3.5.1=py39hdf13c20_0 - matplotlib-base=...