Hi there. I’ve been trying to work on the newer version of dgl using AWS Sagemaker. But when I load the library with import dgl I always get the following error:
DGL backend not selected or invalid. Assuming PyTorch for now.
Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import dgl
File ~/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/__init__.py:14
12 # Backend and logging should be imported before other modules.
13 from .logging import enable_verbose_logging # usort: skip
---> 14 from .backend import backend_name, load_backend # usort: skip
16 from . import (
17 container,
18 cuda,
(...)
24 storages,
25 )
26 from ._ffi.base import __version__, DGLError
File ~/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/backend/__init__.py:122
118 set_default_backend(default_dir, "pytorch")
119 return "pytorch"
--> 122 load_backend(get_preferred_backend())
125 def is_enabled(api):
126 """Return true if the api is enabled by the current backend.
127
128 Parameters
(...)
136 True if the API is enabled by the current backend.
137 """
File ~/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/backend/__init__.py:51, in load_backend(mod_name)
48 else:
49 raise NotImplementedError("Unsupported backend: %s" % mod_name)
---> 51 from .._ffi.base import load_tensor_adapter # imports DGL C library
53 version = mod.__version__
54 load_tensor_adapter(mod_name, version)
File ~/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/_ffi/base.py:50
48 __version__ = libinfo.__version__
49 # library instance of nnvm
---> 50 _LIB, _LIB_NAME, _DIR_NAME = _load_lib()
52 # The FFI mode of DGL
53 _FFI_MODE = os.environ.get("DGL_FFI", "auto")
File ~/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/_ffi/base.py:39, in _load_lib()
37 """Load libary by searching possible path."""
38 lib_path = libinfo.find_lib_path()
---> 39 lib = ctypes.CDLL(lib_path[0])
40 dirname = os.path.dirname(lib_path[0])
41 basename = os.path.basename(lib_path[0])
File ~/anaconda3/envs/JupyterSystemEnv/lib/python3.10/ctypes/__init__.py:374, in CDLL.__init__(self, name, mode, handle, use_errno, use_last_error, winmode)
371 self._FuncPtr = _FuncPtr
373 if handle is None:
--> 374 self._handle = _dlopen(self._name, mode)
375 else:
376 self._handle = handle
OSError: /lib64/libm.so.6: version `GLIBC_2.27' not found (required by /home/ec2-user/SageMaker/aworld_recommender/myenv/lib/python3.10/site-packages/dgl/libdgl.so)
How can I handle it?
I installed dgl 2.1.0 in a pip environment and I created a new kernel out of that env