ConstructorError Traceback (most recent call last)
Cell In[33], line 1
----> 1 model = model.rewind('0.11')
3 model.plot(scale=1)
File D:\Anconda\A\envs\pytorch\lib\site-packages\kan\MultKAN.py:647, in MultKAN.rewind(self, model_id)
643 self.saveckpt(path=self.ckpt_path+'/'+f'{self.round}.{self.state_id}')
645 print('rewind to model version '+f'{self.round-1}.{self.state_id}'+', renamed as '+f'{self.round}.{self.state_id}')
--> 647 return MultKAN.loadckpt(path=self.ckpt_path+'/'+str(model_id))
File D:\Anconda\A\envs\pytorch\lib\site-packages\kan\MultKAN.py:554, in MultKAN.loadckpt(path)
534 '''
535 load checkpoint from path
536
(...)
551 >>> KAN.loadckpt('./mark')
552 '''
553 with open(f'{path}_config.yml', 'r') as stream:
--> 554 config = yaml.safe_load(stream)
556 state = torch.load(f'{path}_state')
558 model_load = MultKAN(width=config['width'],
559 grid=config['grid'],
560 k=config['k'],
(...)
573 round = config['round']+1,
574 device = config['device'])
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml__init__.py:125, in safe_load(stream)
117 def safe_load(stream):
118 """
119 Parse the first YAML document in a stream
120 and produce the corresponding Python object.
(...)
123 to be safe for untrusted input.
124 """
--> 125 return load(stream, SafeLoader)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:51, in BaseConstructor.get_single_data(self)
49 node = self.get_single_node()
50 if node is not None:
---> 51 return self.construct_document(node)
52 return None
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:60, in BaseConstructor.construct_document(self, node)
58 self.state_generators = []
59 for generator in state_generators:
---> 60 for dummy in generator:
61 pass
62 self.constructed_objects = {}
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:413, in SafeConstructor.construct_yaml_map(self, node)
411 data = {}
412 yield data
--> 413 value = self.construct_mapping(node)
414 data.update(value)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:218, in SafeConstructor.construct_mapping(self, node, deep)
216 if isinstance(node, MappingNode):
217 self.flatten_mapping(node)
--> 218 return super().construct_mapping(node, deep=deep)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:143, in BaseConstructor.construct_mapping(self, node, deep)
140 if not isinstance(key, collections.abc.Hashable):
141 raise ConstructorError("while constructing a mapping", node.start_mark,
142 "found unhashable key", key_node.start_mark)
--> 143 value = self.construct_object(value_node, deep=deep)
144 mapping[key] = value
145 return mapping
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:100, in BaseConstructor.construct_object(self, node, deep)
98 constructor = self.class.construct_mapping
99 if tag_suffix is None:
--> 100 data = constructor(self, node)
101 else:
102 data = constructor(self, tag_suffix, node)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:427, in SafeConstructor.construct_undefined(self, node)
426 def construct_undefined(self, node):
--> 427 raise ConstructorError(None, None,
428 "could not determine a constructor for the tag %r" % node.tag,
429 node.start_mark)
ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/object/apply:numpy.core.multiarray.scalar'
in "./model/0.11_config.yml", line 6, column 7
ConstructorError Traceback (most recent call last) Cell In[33], line 1 ----> 1 model = model.rewind('0.11') 3 model.plot(scale=1)
File D:\Anconda\A\envs\pytorch\lib\site-packages\kan\MultKAN.py:647, in MultKAN.rewind(self, model_id) 643 self.saveckpt(path=self.ckpt_path+'/'+f'{self.round}.{self.state_id}') 645 print('rewind to model version '+f'{self.round-1}.{self.state_id}'+', renamed as '+f'{self.round}.{self.state_id}') --> 647 return MultKAN.loadckpt(path=self.ckpt_path+'/'+str(model_id))
File D:\Anconda\A\envs\pytorch\lib\site-packages\kan\MultKAN.py:554, in MultKAN.loadckpt(path) 534 ''' 535 load checkpoint from path 536 (...) 551 >>> KAN.loadckpt('./mark') 552 ''' 553 with open(f'{path}_config.yml', 'r') as stream: --> 554 config = yaml.safe_load(stream) 556 state = torch.load(f'{path}_state') 558 model_load = MultKAN(width=config['width'], 559 grid=config['grid'], 560 k=config['k'], (...) 573 round = config['round']+1, 574 device = config['device'])
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml__init__.py:125, in safe_load(stream) 117 def safe_load(stream): 118 """ 119 Parse the first YAML document in a stream 120 and produce the corresponding Python object. (...) 123 to be safe for untrusted input. 124 """ --> 125 return load(stream, SafeLoader)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml__init__.py:81, in load(stream, Loader) 79 loader = Loader(stream) 80 try: ---> 81 return loader.get_single_data() 82 finally: 83 loader.dispose()
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:51, in BaseConstructor.get_single_data(self) 49 node = self.get_single_node() 50 if node is not None: ---> 51 return self.construct_document(node) 52 return None
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:60, in BaseConstructor.construct_document(self, node) 58 self.state_generators = [] 59 for generator in state_generators: ---> 60 for dummy in generator: 61 pass 62 self.constructed_objects = {}
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:413, in SafeConstructor.construct_yaml_map(self, node) 411 data = {} 412 yield data --> 413 value = self.construct_mapping(node) 414 data.update(value)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:218, in SafeConstructor.construct_mapping(self, node, deep) 216 if isinstance(node, MappingNode): 217 self.flatten_mapping(node) --> 218 return super().construct_mapping(node, deep=deep)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:143, in BaseConstructor.construct_mapping(self, node, deep) 140 if not isinstance(key, collections.abc.Hashable): 141 raise ConstructorError("while constructing a mapping", node.start_mark, 142 "found unhashable key", key_node.start_mark) --> 143 value = self.construct_object(value_node, deep=deep) 144 mapping[key] = value 145 return mapping
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:100, in BaseConstructor.construct_object(self, node, deep) 98 constructor = self.class.construct_mapping 99 if tag_suffix is None: --> 100 data = constructor(self, node) 101 else: 102 data = constructor(self, tag_suffix, node)
File D:\Anconda\A\envs\pytorch\lib\site-packages\yaml\constructor.py:427, in SafeConstructor.construct_undefined(self, node) 426 def construct_undefined(self, node): --> 427 raise ConstructorError(None, None, 428 "could not determine a constructor for the tag %r" % node.tag, 429 node.start_mark)
ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/object/apply:numpy.core.multiarray.scalar' in "./model/0.11_config.yml", line 6, column 7