First attempt to try out TVM. I’ve followed tutorials to install TVM from docker (demo-cpu) here https://docs.tvm.ai/install/docker.html#docker-images
Installed docker engine based on https://docs.docker.com/install/linux/docker-ce/centos/ (my host system is CentOS 7).
Then pulled the docker image:
docker pull tvmai/demo-cpu
and launched it. Then i tried to import tvm:
root@wlab3:~# python3
Python 3.6.8 (default, May 7 2019, 14:58:50)
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tvm
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/workspace/python/tvm/__init__.py", line 27, in <module>
from . import tensor
File "/workspace/python/tvm/tensor.py", line 20, in <module>
from ._ffi.node import NodeBase, NodeGeneric, register_node, convert_to_node
File "/workspace/python/tvm/_ffi/node.py", line 24, in <module>
from .object import Object, register_object, _set_class_node
File "/workspace/python/tvm/_ffi/object.py", line 23, in <module>
from .base import _FFI_MODE, _RUNTIME_ONLY, check_call, _LIB, c_str
File "/workspace/python/tvm/_ffi/base.py", line 60, in <module>
_LIB, _LIB_NAME = _load_lib()
File "/workspace/python/tvm/_ffi/base.py", line 51, in _load_lib
lib_path = libinfo.find_lib_path()
File "/workspace/python/tvm/_ffi/libinfo.py", line 132, in find_lib_path
raise RuntimeError(message)
RuntimeError: Cannot find the files.
List of candidates:
/opt/sgxsdk/lib64/libtvm.so
/workspace/libtvm.so
...
Relevant env vars are:
declare -x HOME="/workspace"
declare -x LD_LIBRARY_PATH="/opt/sgxsdk/lib64:"
declare -x PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/rust/bin:/usr/lib/go-1.10/bin"
declare -x PWD="/workspace"
declare -x PYTHONPATH="python:topi/python"
Shouldn’t .so libraries come pre-built/pre-installed with demo-cpu docker image?
Adding
root@wlab3:~# export TVM_HOME=/workspace
root@wlab3:~# export PYTHONPATH=$TVM_HOME/python:$TVM_HOME/topi/python:$TVM_HOME/nnvm/python:${PYTHONPATH}
didn’t help.
Any advise is welcome.