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Maybe it is designed to be flexibly compiled to meet various needs.This application has more than 130 live TV channels, movies, games, songs and many more. Maybe the Dockerfile for building tvm docker image should be updated. Maybe the third-party tvm docker image is broken. Surprisingly, libtvm.so and libtvm_runtime.so are not pre-built in the tvm docker image. h, -help show this help message and exit. Bcmake-build -DUSE_LLVM=ON & \Ĭmake -build cmake-build -target all -j 4 & \Īfter the above, I tried typing the command python3 -m -help and got the following output. pushd path/to/tvm & \Ĭhmod +x 3rdparty/libbacktrace/configure & \Ĭmake -H. After referring to his advice, I tried rebuilding tvm in a container launched from the image tvm.ci_cpu:latest which built by myself. However, I still met same problems as before. I tried to pull and use the following third-party docker images instead of the ones I built myself: opt/share0/bob/project/libtvm_runtime.so opt/share0/bob/project/tvm/python/tvm/libtvm_runtime.so opt/share0/bob/project/tvm/libtvm_runtime.so opt/share0/bob/project/tvm/python/tvm/libtvm.so _ffi.base import TVMError, _version_, _RUNTIME_ONLYįile "/opt/share0/bob/project/tvm/python/tvm/_ffi/_init_.py", line 28, in įile "/opt/share0/bob/project/tvm/python/tvm/_ffi/base.py", line 71, in įile "/opt/share0/bob/project/tvm/python/tvm/_ffi/base.py", line 51, in _load_libįile "/opt/share0/bob/project/tvm/python/tvm/_ffi/libinfo.py", line 146, in find_lib_path Mod_name, mod_spec, code = _get_module_details(mod_name, _Error)įile "/usr/lib/python3.6/runpy.py", line 109, in _get_module_detailsįile "/opt/share0/bob/project/tvm/python/tvm/_init_.py", line 26, in įrom. I tried to use the other method mentioned in the article above, but I got the following new error: $ python3 -m -helpįile "/usr/lib/python3.6/runpy.py", line 183, in _run_module_as_main Then I got the following error: $ tvmc -help I tried to use the python application tvmc inside docker container as described in the tutorial. I tried to build and launch a docker image named tvm.ci_cpu:latest as described in the tutorial.
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