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This repository has been archived by the owner on Aug 1, 2024. It is now read-only.
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ValueError Traceback (most recent call last)
Cell In[2], line 1
----> 1 model = esm.pretrained.esmfold_v1()
2 model = model.eval().cuda()
4 # Optionally, uncomment to set a chunk size for axial attention. This can help reduce memory.
5 # Lower sizes will have lower memory requirements at the cost of increased speed.
6 # model.set_chunk_size(128)
File ~/miniconda3/envs/esmfold/lib/python3.12/site-packages/esm/pretrained.py:419, in esmfold_v1()
411 def esmfold_v1():
412 """
413 ESMFold v1 model using 3B ESM-2, 48 folding blocks.
414 ESMFold provides fast high accuracy atomic level structure prediction
(...)
417 protein sequence.
418 """
--> 419 import esm.esmfold.v1.pretrained
420 return esm.esmfold.v1.pretrained.esmfold_v1()
File ~/miniconda3/envs/esmfold/lib/python3.12/site-packages/esm/esmfold/v1/pretrained.py:5
1 from pathlib import Path
3 import torch
----> 5 from esm.esmfold.v1.esmfold import ESMFold
8 def _load_model(model_name):
9 if model_name.endswith(".pt"): # local, treat as filepath
File ~/miniconda3/envs/esmfold/lib/python3.12/site-packages/esm/esmfold/v1/esmfold.py:20
18 from esm import Alphabet
19 from esm.esmfold.v1.categorical_mixture import categorical_lddt
---> 20 from esm.esmfold.v1.trunk import FoldingTrunk, FoldingTrunkConfig
21 from esm.esmfold.v1.misc import (
22 batch_encode_sequences,
23 collate_dense_tensors,
24 output_to_pdb,
25 )
28 @dataclass
29 class ESMFoldConfig:
File ~/miniconda3/envs/esmfold/lib/python3.12/site-packages/esm/esmfold/v1/trunk.py:35
31 epsilon: float = 1e-8
32 inf: float = 1e5
---> 35 @dataclass
36 class FoldingTrunkConfig:
37 _name: str = "FoldingTrunkConfig"
38 num_blocks: int = 48
File ~/miniconda3/envs/esmfold/lib/python3.12/dataclasses.py:1275, in dataclass(cls, init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, slots, weakref_slot)
1272 return wrap
1274 # We're called as @dataclass without parens.
-> 1275 return wrap(cls)
File ~/miniconda3/envs/esmfold/lib/python3.12/dataclasses.py:1265, in dataclass.<locals>.wrap(cls)
1264 def wrap(cls):
-> 1265 return _process_class(cls, init, repr, eq, order, unsafe_hash,
1266 frozen, match_args, kw_only, slots,
1267 weakref_slot)
File ~/miniconda3/envs/esmfold/lib/python3.12/dataclasses.py:994, in _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, slots, weakref_slot)
991 kw_only = True
992 else:
993 # Otherwise it's a field of some type.
--> 994 cls_fields.append(_get_field(cls, name, type, kw_only))
996 for f in cls_fields:
997 fields[f.name] = f
File ~/miniconda3/envs/esmfold/lib/python3.12/dataclasses.py:852, in _get_field(cls, a_name, a_type, default_kw_only)
848 # For real fields, disallow mutable defaults. Use unhashable as a proxy
849 # indicator for mutability. Read the __hash__ attribute from the class,
850 # not the instance.
851 if f._field_type is _FIELD and f.default.__class__.__hash__ is None:
--> 852 raise ValueError(f'mutable default {type(f.default)} for field '
853 f'{f.name} is not allowed: use default_factory')
855 return f
ValueError: mutable default <class 'esm.esmfold.v1.trunk.StructureModuleConfig'> for field structure_module is not allowed: use default_factory
The text was updated successfully, but these errors were encountered:
The text was updated successfully, but these errors were encountered: