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eval_descriptor
The DeepEval.eval_descriptor() function should support frozen model with extension name .pth
DeepEval.eval_descriptor()
.pth
Now the DeepEval.eval_descriptor() function can only support PT model with extension .pt, when use frozen model with extension pth, error orrurs:
.pt
pth
In [22]: DPf = DeepPot('model-64.pth') You can use the environment variable DP_INFER_BATCH_SIZE tocontrol the inference batch size (nframes * natoms). The default value is 1024. In [23]: anodes2 = descriptor_from_model(onedata, DPf) --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[23], line 1 ----> 1 anodes2 = descriptor_from_model(onedata, DPf) Cell In[7], line 7, in descriptor_from_model(sys, model) 5 type_trans = np.array([model_type_map.index(i) for i in sys.data['atom_names']]) 6 atypes = list(type_trans[sys.data['atom_types']]) ----> 7 predict = model.eval_descriptor(coords, cells, atypes) 8 return predict File /data/softwares/miniconda3/envs/deepmd-devel/lib/python3.12/site-packages/deepmd/infer/deep_eval.py:445, in DeepEval.eval_descriptor(self, coords, cells, atom_types, fparam, aparam, mixed_type, **kwargs) 398 """Evaluate descriptors by using this DP. 399 400 Parameters (...) 434 Descriptors. 435 """ 436 ( 437 coords, 438 cells, (...) 443 natoms, 444 ) = self._standard_input(coords, cells, atom_types, fparam, aparam, mixed_type) --> 445 descriptor = self.deep_eval.eval_descriptor( 446 coords, 447 cells, 448 atom_types, 449 fparam=fparam, 450 aparam=aparam, 451 **kwargs, 452 ) 453 return descriptor File /data/softwares/miniconda3/envs/deepmd-devel/lib/python3.12/site-packages/deepmd/pt/infer/deep_eval.py:648, in DeepEval.eval_descriptor(self, coords, cells, atom_types, fparam, aparam, **kwargs) 616 """Evaluate descriptors by using this DP. 617 618 Parameters (...) 645 Descriptors. 646 """ 647 model = self.dp.model["Default"] --> 648 model.set_eval_descriptor_hook(True) 649 self.eval( 650 coords, 651 cells, (...) 656 **kwargs, 657 ) 658 descriptor = model.eval_descriptor() File /data/softwares/miniconda3/envs/deepmd-devel/lib/python3.12/site-packages/torch/jit/_script.py:826, in RecursiveScriptModule.__getattr__(self, attr) 823 self.__dict__[attr] = script_method 824 return script_method --> 826 return super().__getattr__(attr) File /data/softwares/miniconda3/envs/deepmd-devel/lib/python3.12/site-packages/torch/jit/_script.py:533, in ScriptModule.__getattr__(self, attr) 531 def __getattr__(self, attr): 532 if "_actual_script_module" not in self.__dict__: --> 533 return super().__getattr__(attr) 534 return getattr(self._actual_script_module, attr) File /data/softwares/miniconda3/envs/deepmd-devel/lib/python3.12/site-packages/torch/nn/modules/module.py:1931, in Module.__getattr__(self, name) 1929 if name in modules: 1930 return modules[name] -> 1931 raise AttributeError( 1932 f"'{type(self).__name__}' object has no attribute '{name}'" 1933 ) AttributeError: 'RecursiveScriptModule' object has no attribute 'set_eval_descriptor_hook'
No response
The text was updated successfully, but these errors were encountered:
It does support. In the unit tests, only .pth has been tested
deepmd-kit/source/tests/infer/test_models.py
Lines 159 to 160 in 85e5e20
Line 31 in 85e5e20
Sorry, something went wrong.
The frozen process is done with 3.0.0b4 code, but the eval_descriptor usage is by using repo https://github.com/iProzd/deepmd-kit/tree/devel_compat_b4. The problem may be from there, but .pt model can be used normally
#4214 is merged after 3.0.0b4.
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Summary
The
DeepEval.eval_descriptor()
function should support frozen model with extension name.pth
Detailed Description
Now the
DeepEval.eval_descriptor()
function can only support PT model with extension.pt
, when use frozen model with extensionpth
, error orrurs:Further Information, Files, and Links
No response
The text was updated successfully, but these errors were encountered: