質問編集履歴
2
データセットの設定
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```python
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#セータセットの作成
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from chainer.datasets import LabeledImageDataset
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horcecow_dataset = LabeledImageDataset(image_and_teacher_label_list)
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#データセットの代入
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from chainer.datasets import TransformDataset
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transformed_dataset = TransformDataset(horcecow_dataset, adapt_data_to_convolution2d_format)
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#学習データと検証データを分ける
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from chainer import datasets
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train_data, test_data = datasets.split_dataset_random(transformed_dataset, int(len(transformed_dataset) * 0.8), seed=0)
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import chainer
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import chainer.functions as F
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エラーメッセージの詳細
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#学習の実行セルに発生
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TypeError Traceback (most recent call last)
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<ipython-input-27-ab3509b1dfc4> in <module>
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1 #学習の実行
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----> 2 trainer.run()
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~\Anaconda\envs\project_1\lib\site-packages\chainer\training\trainer.py in run(self, show_loop_exception_msg)
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347 f.write('Traceback (most recent call last):\n')
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348 traceback.print_tb(sys.exc_info()[2])
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--> 349 six.reraise(*exc_info)
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350 finally:
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351 for _, entry in extensions:
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~\Anaconda\envs\project_1\lib\site-packages\six.py in reraise(tp, value, tb)
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701 if value.__traceback__ is not tb:
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702 raise value.with_traceback(tb)
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--> 703 raise value
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704 finally:
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705 value = None
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~\Anaconda\envs\project_1\lib\site-packages\chainer\training\trainer.py in run(self, show_loop_exception_msg)
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314 self.observation = {}
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315 with reporter.scope(self.observation):
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--> 316 update()
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317 for name, entry in extensions:
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318 if entry.trigger(self):
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~\Anaconda\envs\project_1\lib\site-packages\chainer\training\updaters\standard_updater.py in update(self)
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174 """
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--> 175 self.update_core()
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176 self.iteration += 1
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~\Anaconda\envs\project_1\lib\site-packages\chainer\training\updaters\standard_updater.py in update_core(self)
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178 def update_core(self):
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179 iterator = self._iterators['main']
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--> 180 batch = iterator.next()
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181 in_arrays = convert._call_converter(self.converter, batch, self.device)
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~\Anaconda\envs\project_1\lib\site-packages\chainer\iterators\multiprocess_iterator.py in __next__(self)
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148 if self._prefetch_loop.measure_required():
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149 measure_mode = True
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--> 150 batch, state = self._prefetch_loop.measure(
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151 self.dataset_timeout)
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152 self._prefetch_loop.launch_thread()
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~\Anaconda\envs\project_1\lib\site-packages\chainer\iterators\multiprocess_iterator.py in measure(self, dataset_timeout)
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450 batch = batch_ret[0]
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--> 451 self.mem_size = max(map(_measure, batch))
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452 self._allocate_shared_memory()
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'NoneType' object is not iterable
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TypeError: 'NoneType' object is not iterable
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```
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