I am exploring using DGL in a project. I tried to run one of the example in this github notebook:
https://github.com/aws-samples/aws-healthcare-lifescience-ai-ml-sample-notebooks/blob/main/workshops/Molecular-property-prediction/hiv-inhibitor-prediction-dgl/molecule-hiv-inhibitor-prediction-sagemaker.ipynb
But getting errors when importing DGL. See the logs below. Any help in solving this issue is greatly appreciated.
create a jupyterstudio notebook and run the appropriate cells from link above. Since the requirements file has an year old versions I just replaced the the requirements.txt to pick the latest version.
Logs
FileNotFoundError Traceback (most recent call last)
Cell In[1], line 7
4 import torch.nn as nn
5 import pandas as pd
----> 7 import dgl
9 from dgllife.model import load_pretrained
10 from dgllife.utils import smiles_to_bigraph, EarlyStopping, Meter, CanonicalAtomFeaturizer, CanonicalBondFeaturizer
File /opt/conda/lib/python3.10/site-packages/dgl/init.py:16
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,
19 dataloading,
20 function,
21 ops,
22 random,
23 sampling,
24 storages,
25 )
26 from ._ffi.base import version, DGLError
27 from ._ffi.function import (
28 extract_ext_funcs,
29 get_global_func,
30 list_global_func_names,
31 register_func,
32 )
File /opt/conda/lib/python3.10/site-packages/dgl/dataloading/init.py:13
11 if F.get_preferred_backend() == "pytorch":
12 from .spot_target import *
---> 13 from .dataloader import *
14 from .dist_dataloader import *
File /opt/conda/lib/python3.10/site-packages/dgl/dataloading/dataloader.py:27
25 from ..batch import batch as batch_graphs
26 from ..cuda import GPUCache
---> 27 from ..distributed import DistGraph
28 from ..frame import LazyFeature
29 from ..heterograph import DGLGraph
File /opt/conda/lib/python3.10/site-packages/dgl/distributed/init.py:5
3 from .dist_context import exit_client, initialize
4 from .dist_dataloader import DistDataLoader
----> 5 from .dist_graph import DistGraph, DistGraphServer, edge_split, node_split
6 from .dist_tensor import DistTensor
7 from .graph_partition_book import GraphPartitionBook, PartitionPolicy
File /opt/conda/lib/python3.10/site-packages/dgl/distributed/dist_graph.py:11
7 from collections.abc import MutableMapping
9 import numpy as np
---> 11 from .. import backend as F, graphbolt as gb, heterograph_index
12 from .._ffi.ndarray import empty_shared_mem
13 from ..base import ALL, DGLError, EID, ETYPE, is_all, NID
File /opt/conda/lib/python3.10/site-packages/dgl/graphbolt/init.py:55
51 except Exception: # pylint: disable=W0703
52 raise ImportError("Cannot load Graphbolt C++ library")
---> 55 load_graphbolt()
File /opt/conda/lib/python3.10/site-packages/dgl/graphbolt/init.py:45, in load_graphbolt()
43 path = os.path.join(dirname, "graphbolt", basename)
44 if not os.path.exists(path):
---> 45 raise FileNotFoundError(
46 f"Cannot find DGL C++ graphbolt library at {path}"
47 )
49 try:
50 torch.classes.load_library(path)
FileNotFoundError: Cannot find DGL C++ graphbolt library at [/opt/conda/lib/python3.10/site-packages/dgl/graphb
Thanks Didier. I am aware of this post. I am using DGL 2.1 and still getting the same error. Initially I saw the issue with code so decided to try one of the examples from Sagemaker's github repo but still no luck.