質問編集履歴
1
カーネルの再起動、input_shapeの変更を行いましたが、エラーは取れませんでした
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もともと出ていたエラー
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ValueError Traceback (most recent call last)
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<ipython-input-66-94ca9aad4ee1> in <module>
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----> 1 history = model.fit(X_train, Y_train, batch_size = batch_size, epochs = epochs)
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, max_queue_size, workers, use_multiprocessing, **kwargs)
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1534 steps_name='steps_per_epoch',
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1535 steps=steps_per_epoch,
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-> 1536 validation_split=validation_split)
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1538 # Prepare validation data.
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split)
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990 x, y, sample_weight = next_element
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991 x, y, sample_weights = self._standardize_weights(x, y, sample_weight,
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--> 992 class_weight, batch_size)
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993 return x, y, sample_weights
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training.py in _standardize_weights(self, x, y, sample_weight, class_weight, batch_size)
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1152 feed_output_shapes,
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1153 check_batch_axis=False, # Don't enforce the batch size.
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-> 1154 exception_prefix='target')
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1156 # Generate sample-wise weight values given the `sample_weight` and
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～略～
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\keras\engine\training_utils.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
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```
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```
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input_shape=(None, X_train.shape[1], X_train.shape[2]) と、書き換えた場合のエラー
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---------------------------------------------------------------------------
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InvalidArgumentError Traceback (most recent call last)
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\framework\ops.py in set_shape(self, shape)
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557 dim_list,
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--> 558 unknown_shape)
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559 except errors.InvalidArgumentError as e:
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InvalidArgumentError: Shapes must be equal rank, but are 3 and 2
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During handling of the above exception, another exception occurred:
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～略～
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D:\Anaconda3\envs\tensorflow-gpu-2\lib\site-packages\tensorflow\python\framework\ops.py in set_shape(self, shape)
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559 except errors.InvalidArgumentError as e:
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560 # Convert to ValueError for backwards compatibility.
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--> 561 raise ValueError(str(e))
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563 @property
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ValueError: Shapes must be equal rank, but are 3 and 2
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```
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### 該当のソースコード
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いただいた回答やコメントをもとに試したことは以下です
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・jupyter notebookカーネルの再起動
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->エラー内容に変化なし
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・input_shape=(None, X_train.shape[1], X_train.shape[2]) と、書き換え
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->モデルのレイヤー積み上げ段階でエラーが出るようになりました。
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エラー内容を追記いたします。
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### 補足情報（FW/ツールのバージョンなど）
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@@ -191,3 +209,5 @@
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python = 3.6.10
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tensorflow-gpu = 1.12.0
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エディタ：jupyter notebook
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