差别

这里会显示出您选择的修订版和当前版本之间的差别。

到此差别页面的链接

--- 机器人:openvla:openvla实验:openvla的本地复现步骤 [2025/11/05 06:50] – 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
@@ 行 8: / 行 8: @@
 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>
+-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`.
+-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
+-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
+-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
+-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。