<gluonts.transform.split.InstanceSplitter object at 0x0000016230000E50>

[youandyourself]

when i run Time-Grad-Electricity.ipynb predictor = estimator.train(dataset_train, num_workers=8).
the error occurs:

Exception Traceback (most recent call last)
Cell In[13], line 1
----> 1 predictor = estimator.train(dataset_train, num_workers=8)

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\model\estimator.py:179, in PyTorchEstimator.train(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs)
169 def train(
170 self,
171 training_data: Dataset,
(...)
177 **kwargs,
178 ) -> PyTorchPredictor:
--> 179 return self.train_model(
180 training_data,
181 validation_data,
182 num_workers=num_workers,
183 prefetch_factor=prefetch_factor,
184 shuffle_buffer_length=shuffle_buffer_length,
185 cache_data=cache_data,
186 **kwargs,
187 ).predictor

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\model\estimator.py:151, in PyTorchEstimator.train_model(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs)
133 validation_iter_dataset = TransformedIterableDataset(
134 dataset=validation_data,
135 transform=transformation
(...)
139 cache_data=cache_data,
140 )
141 validation_data_loader = DataLoader(
142 validation_iter_dataset,
143 batch_size=self.trainer.batch_size,
(...)
148 **kwargs,
149 )
--> 151 self.trainer(
152 net=trained_net,
153 train_iter=training_data_loader,
154 validation_iter=validation_data_loader,
155 )
157 return TrainOutput(
158 transformation=transformation,
159 trained_net=trained_net,
(...)
162 ),
163 )

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\trainer.py:63, in Trainer.call(self, net, train_iter, validation_iter)
61 # training loop
62 with tqdm(train_iter, total=total) as it:
---> 63 for batch_no, data_entry in enumerate(it, start=1):
64 optimizer.zero_grad()
66 inputs = [v.to(self.device) for v in data_entry.values()]

File d:\Anaconda\Lib\site-packages\tqdm\notebook.py:259, in tqdm_notebook.iter(self)
257 try:
258 it = super(tqdm_notebook, self).iter()
--> 259 for obj in it:
260 # return super(tqdm...) will not catch exception
261 yield obj
262 # NB: except ... [ as ...] breaks IPython async KeyboardInterrupt

File d:\Anaconda\Lib\site-packages\tqdm\std.py:1195, in tqdm.iter(self)
1192 time = self._time
1194 try:
-> 1195 for obj in iterable:
1196 yield obj
1197 # Update and possibly print the progressbar.
1198 # Note: does not call self.update(1) for speed optimisation.

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:631, in _BaseDataLoaderIter.next(self)
628 if self._sampler_iter is None:
629 # TODO(pytorch/pytorch#76750)
630 self._reset() # type: ignore[call-arg]
--> 631 data = self._next_data()
632 self._num_yielded += 1
633 if self._dataset_kind == _DatasetKind.Iterable and
634 self._IterableDataset_len_called is not None and
635 self._num_yielded > self._IterableDataset_len_called:

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:1346, in _MultiProcessingDataLoaderIter._next_data(self)
1344 else:
1345 del self._task_info[idx]
-> 1346 return self._process_data(data)

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:1372, in _MultiProcessingDataLoaderIter._process_data(self, data)
1370 self._try_put_index()
1371 if isinstance(data, ExceptionWrapper):
-> 1372 data.reraise()
1373 return data

File d:\Anaconda\Lib\site-packages\torch_utils.py:722, in ExceptionWrapper.reraise(self)
718 except TypeError:
719 # If the exception takes multiple arguments, don't try to
720 # instantiate since we don't know how to
721 raise RuntimeError(msg) from None
--> 722 raise exception

Exception: Caught Exception in DataLoader worker process 0.
Original Traceback (most recent call last):
File "d:\Anaconda\Lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
^^^^^^^^^^^^^^^^^^^^
File "d:\Anaconda\Lib\site-packages\torch\utils\data_utils\fetch.py", line 32, in fetch
data.append(next(self.dataset_iter))
^^^^^^^^^^^^^^^^^^^^^^^
File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 111, in iter
yield from self.transformation(
File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 132, in call
for data_entry in data_it:
File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 132, in call
for data_entry in data_it:
File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 197, in call
raise Exception(
Exception: Reached maximum number of idle transformation calls.
This means the transformation looped over 1 inputs without returning any output.
This occurred in the following transformation:
<gluonts.transform.split.InstanceSplitter object at 0x0000016230000E50>
when i write the code as same as what README.md said. the same error occurs too.
how can i solve it

[youandyourself]

i know how to deel with it.
pip install gluonts == 0.10.0
download another gluonts 0.10.x from https://github.com/awslabs/gluonts
find src/gluonts/torch/distributions from 0.10.x, copy it to your Lib/site-packages/gluonts/torch/distributions,
rename distribution_output.py -> output.py

[kashif]

@youandyourself can you kindly try to use the 0.7.0 branch?

[youandyourself]

@youandyourself can you kindly try to use the 0.7.0 branch?
My issue has been resolved using the methods mentioned above.

but I tried pytorch-ts-version-0.7.0, but I gave up because of the following error:
ImportError Traceback (most recent call last)
Cell In[3], line 1
----> 1 from pts.model.tempflow import TempFlowEstimator
2 from pts.model.time_grad import TimeGradEstimator
3 from pts.model.transformer_tempflow import TransformerTempFlowEstimator

ImportError: cannot import name 'TempFlowEstimator' from 'pts.model.tempflow' (c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-version-0.7.0\pts\model\tempflow_init_.py)

[lhyuehh]

when i run Time-Grad-Electricity.ipynb predictor = estimator.train(dataset_train, num_workers=8).

the error occurs:

Exception Traceback (most recent call last) Cell In[13], line 1 ----> 1 predictor = estimator.train(dataset_train, num_workers=8)

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\model\estimator.py:179, in PyTorchEstimator.train(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs) 169 def train( 170 self, 171 training_data: Dataset, (...) 177 **kwargs, 178 ) -> PyTorchPredictor: --> 179 return self.train_model( 180 training_data, 181 validation_data, 182 num_workers=num_workers, 183 prefetch_factor=prefetch_factor, 184 shuffle_buffer_length=shuffle_buffer_length, 185 cache_data=cache_data, 186 **kwargs, 187 ).predictor

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\model\estimator.py:151, in PyTorchEstimator.train_model(self, training_data, validation_data, num_workers, prefetch_factor, shuffle_buffer_length, cache_data, **kwargs) 133 validation_iter_dataset = TransformedIterableDataset( 134 dataset=validation_data, 135 transform=transformation (...) 139 cache_data=cache_data, 140 ) 141 validation_data_loader = DataLoader( 142 validation_iter_dataset, 143 batch_size=self.trainer.batch_size, (...) 148 **kwargs, 149 ) --> 151 self.trainer( 152 net=trained_net, 153 train_iter=training_data_loader, 154 validation_iter=validation_data_loader, 155 ) 157 return TrainOutput( 158 transformation=transformation, 159 trained_net=trained_net, (...) 162 ), 163 )

File c:\Users\youandyourself\Desktop\zcy\AA_test\model\pytorch-ts-master\pts\trainer.py:63, in Trainer.call(self, net, train_iter, validation_iter) 61 # training loop 62 with tqdm(train_iter, total=total) as it: ---> 63 for batch_no, data_entry in enumerate(it, start=1): 64 optimizer.zero_grad() 66 inputs = [v.to(self.device) for v in data_entry.values()]

File d:\Anaconda\Lib\site-packages\tqdm\notebook.py:259, in tqdm_notebook.iter(self) 257 try: 258 it = super(tqdm_notebook, self).iter() --> 259 for obj in it: 260 # return super(tqdm...) will not catch exception 261 yield obj 262 # NB: except ... [ as ...] breaks IPython async KeyboardInterrupt

File d:\Anaconda\Lib\site-packages\tqdm\std.py:1195, in tqdm.iter(self) 1192 time = self._time 1194 try: -> 1195 for obj in iterable: 1196 yield obj 1197 # Update and possibly print the progressbar. 1198 # Note: does not call self.update(1) for speed optimisation.

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:631, in _BaseDataLoaderIter.next(self) 628 if self._sampler_iter is None: 629 # TODO(pytorch/pytorch#76750) 630 self._reset() # type: ignore[call-arg] --> 631 data = self._next_data() 632 self._num_yielded += 1 633 if self._dataset_kind == _DatasetKind.Iterable and 634 self._IterableDataset_len_called is not None and 635 self._num_yielded > self._IterableDataset_len_called:

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:1346, in _MultiProcessingDataLoaderIter._next_data(self) 1344 else: 1345 del self._task_info[idx] -> 1346 return self._process_data(data)

File d:\Anaconda\Lib\site-packages\torch\utils\data\dataloader.py:1372, in _MultiProcessingDataLoaderIter._process_data(self, data) 1370 self._try_put_index() 1371 if isinstance(data, ExceptionWrapper): -> 1372 data.reraise() 1373 return data

File d:\Anaconda\Lib\site-packages\torch_utils.py:722, in ExceptionWrapper.reraise(self) 718 except TypeError: 719 # If the exception takes multiple arguments, don't try to 720 # instantiate since we don't know how to 721 raise RuntimeError(msg) from None --> 722 raise exception

Exception: Caught Exception in DataLoader worker process 0. Original Traceback (most recent call last): File "d:\Anaconda\Lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop data = fetcher.fetch(index) ^^^^^^^^^^^^^^^^^^^^ File "d:\Anaconda\Lib\site-packages\torch\utils\data_utils\fetch.py", line 32, in fetch data.append(next(self.dataset_iter)) ^^^^^^^^^^^^^^^^^^^^^^^ File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 111, in iter yield from self.transformation( File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 132, in call for data_entry in data_it: File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 132, in call for data_entry in data_it: File "d:\Anaconda\Lib\site-packages\gluonts\transform_base.py", line 197, in call raise Exception( Exception: Reached maximum number of idle transformation calls. This means the transformation looped over 1 inputs without returning any output. This occurred in the following transformation: <gluonts.transform.split.InstanceSplitter object at 0x0000016230000E50> when i write the code as same as what README.md said. the same error occurs too. how can i solve it

I have solved this problem through downgrade pip “python -m pip install pip==24.0” and pip install gluonts==0.10.0