WildBeast114514

Some apollo modules use the avx2 instruction set (e.g., perception, dreamview, etc.), so make sure your cpu supports avx2.

Apollo 9.0 推荐470的驱动，驱动版本太高有可能会与容器内的cuda不兼容，驱动安装及nvidia-docker安装可以参考Apollo文档： https://apollo.baidu.com/docs/apollo/latest/md_docs_2_xE5_xAE_x89_xE8_xA3_x85_xE6_x8C_x87_xE5_x8D_x97_2_xE6_xBA_x90_xE7_xA0_x81_xE5_xAE_x89_c6622abe953930b2197ae66df0a51dcd.html

This may be caused by a mismatch between the current version of bazel and the specified toolchain, the easiest way is to remove the specified bazel jdk in two files：...

具体是在哪个分支，commit上出现这个问题？请提供相应信息让我们进一步排查

As it stands, the simplest way to introduce it is to fill in the WORKSPACE file in /apollo_workspace with the following: ``` load("//third_party/opencl:workspace.bzl", opencl_init = "repo") opencl_init() ``` after this,...

In the 9.x_dev branch, the map image should be forced to be set to use the x86 version (since the map is just data, the architecture doesn't affect map reading),...

@mgcho0608 Actually this issue cannot be solved by changing the content you mentioned above. When the cuda version changes, the corresponding tensorrt api and libtorch api may also change, meaning...

@mgcho0608 According to the error message, the current containers for cuda and tensorrt are indeed not 4090 compliant, and it looks like upgrading cuda and tensorrt is the only solution....