Closed ai-quantitative closed 2 months ago
Hi, sorry for the very late reply. The work on the new gempy release (v3) has kept us busy. Please install the new version and use the updated version of the tutorial, which should work properly now. Please feel free to reopen the issue if any problems persist.
Describe the bug
c:\src\gempy\gempy\core\data\geo_model.py:183: UserWarning: You are using refinement and passing a regular grid. The resolution of the regular grid will be overwritten warnings.warn(
AttributeError Traceback (most recent call last) Cell In[15], line 1 ----> 1 sol = gp.compute_model(geo_model) 2 sol
File c:\src\gempy\gempy\API\compute_API.py:48, in compute_model(gempy_model, engine_config) 17 """ 18 Compute the geological model given the provided GemPy model. 19 (...) 28 Solutions: The computed geological model. 29 """ 30 engine_config = engine_config or GemPyEngineConfig( 31 backend=AvailableBackends.numpy, 32 use_gpu=False, 33 ) 35 match engine_config.backend: 36 case AvailableBackends.numpy | AvailableBackends.PYTORCH: 37 38 BackendTensor.change_backend_gempy( 39 engine_backend=engine_config.backend, 40 use_gpu=engine_config.use_gpu, 41 dtype=engine_config.dtype 42 ) 43 44 # TODO: To decide what to do with this. 45 interpolation_input = gempy_model.interpolation_input 46 gempy_model.taped_interpolation_input = interpolation_input 47 ---> 48 gempy_model.solutions = gempy_engine.compute_model( 49 interpolation_input=interpolation_input, 50 options=gempy_model.interpolation_options, 51 data_descriptor=gempy_model.input_data_descriptor, 52 geophysics_input=gempy_model.geophysics_input, 53 ) 54 55 case AvailableBackends.aesara | AvailableBackends.legacy: 56 gempy_model.legacy_model = _legacy_compute_model(gempymodel) 57 case : 58 raise ValueError(f'Backend {engine_config} not supported') 60 return gempy_model.solutions
File c:\src\gempy\gempy\core\data\geo_model.py:137, in GeoModel.solutions(self, value) 134 element.edges = (dc_mesh.edges if dc_mesh is not None else None) 136 # * Reordering the elements according to the scalar field --> 137 for e, order_per_structural_group in enumerate(self._solutions._ordered_elements): 138 elements = self.structural_frame.structural_groups[e].elements 139 reordered_elements = [elements[i] for i in order_per_structural_group]
AttributeError: 'Solutions' object has no attribute '_ordered_elements'
To Reproduce Just running the sol = gp.compute_model(geo_model) sol
from the tutorial ch1_1_basics
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