mschuh commited on
Commit
fa7f380
·
verified ·
1 Parent(s): 005026b

Fix ZeroGPU

Browse files
Files changed (1) hide show
  1. model/model.py +0 -4
model/model.py CHANGED
@@ -17,7 +17,6 @@ import torch
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  from typing import *
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  from rdkit import RDLogger
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  RDLogger.DisableLog("rdApp.*")
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- import spaces
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  from xgboost import XGBClassifier, DMatrix
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@@ -68,7 +67,6 @@ class DTIModel:
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  morgan = [self._encode_smiles(s, radius, bits, features) for s in smiles]
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  return np.array(morgan)
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- @spaces.GPU
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  def _encode_sequence(self, sequence: str):
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  # Clear torch cache
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  torch.cuda.empty_cache()
@@ -88,12 +86,10 @@ class DTIModel:
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  print(e)
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  return None
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- @spaces.GPU
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  def _encode_sequence_mult(self, sequences: List[str]):
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  seq = [self._encode_sequence(sequence) for sequence in sequences]
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  return np.array(seq)
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- @spaces.GPU
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  def __predict_pair(self, drug_emb: np.ndarray, target_emb: np.ndarray, pred_leaf: bool):
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  if drug_emb.shape[0] < target_emb.shape[0]:
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  drug_emb = np.tile(drug_emb, (len(target_emb), 1))
 
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  from typing import *
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  from rdkit import RDLogger
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  RDLogger.DisableLog("rdApp.*")
 
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  from xgboost import XGBClassifier, DMatrix
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  morgan = [self._encode_smiles(s, radius, bits, features) for s in smiles]
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  return np.array(morgan)
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  def _encode_sequence(self, sequence: str):
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  # Clear torch cache
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  torch.cuda.empty_cache()
 
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  print(e)
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  return None
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  def _encode_sequence_mult(self, sequences: List[str]):
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  seq = [self._encode_sequence(sequence) for sequence in sequences]
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  return np.array(seq)
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  def __predict_pair(self, drug_emb: np.ndarray, target_emb: np.ndarray, pred_leaf: bool):
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  if drug_emb.shape[0] < target_emb.shape[0]:
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  drug_emb = np.tile(drug_emb, (len(target_emb), 1))