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两侧同时换到之前的修订记录前一修订版
后一修订版		前一修订版
机器人:openvla:openvla实验:openvla的本地复现步骤 [2025/11/05 06:40] – ctbots机器人:openvla:openvla实验:openvla的本地复现步骤 [2025/11/05 10:46] (当前版本) – ctbots
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 git clone  https://gitee.com/caodev/mirror-openvla.git git clone  https://gitee.com/caodev/mirror-openvla.git
  
-5090D的初始化命令为：+依赖处理： 
 + 
 +conda命令不好使，依赖跟不上5090D 
 + 
 +pip install torch==2.9.0+cu130 torchvision==0.24.0+cu130 --index-url https://download.pytorch.org/whl/cu130 
 + 
 +pip install torchaudio==2.9.0+cu130 --index-url https://download.pytorch.org/whl/cu130 
 + 
 +同步修改 pyproject.toml 的版本，避免被覆盖， 即可开始启动 
 + 
 +===== 问题处理 ===== 
 + 
 +==== 有一些DNN的警告报错信息 ==== 
 + 
 +<code> 
 +2025-11-05 15:55:55.934310: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 
 +2025-11-05 15:55:55.952274: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered 
 +2025-11-05 15:55:55.952298: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered 
 +2025-11-05 15:55:55.952904: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 
 +2025-11-05 15:55:55.956019: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. 
 +To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 
 +</code> 
 + 
 +一般这些没啥大问题，如果看着难受，给日志屏蔽了。
  
-conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/ 
  
-conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/nvidia/ 
  
-conda install pytorch torchvision torchaudio pytorch-cuda=12.8 -c pytorch -c nvidia -y