numpy のエラーについて（setting an array element with a sequence.）

Question

X_image(5000, 64, 64, 3)を次のようにnp.arrayにしようとしたところ下記のようなエラーが出ました
配列が違っていると出るエラーのようですが、今回は原因がわかりません。ご教授いただけないでしょうか？

epochs=25
for epoch in range(epochs):
       batch_idxs= min (len(X_image), np.inf) // 64
       for idx in range (0, batch_idxs):
           batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
           batch = [image for batch_file in batch_files]
           batch_images = np.array(batch).astype(np.float32)
ValueError                               Traceback (most recent call last)
<ipython-input-75-af766500016d> in <module>()
     4            batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
     5            batch = [image for batch_file in batch_files]
----> 6            batch_images = np.array(batch).astype(np.float32)
削除リクエスト送信済みのため回答しないでください。。、、、、、、、、、、、、、、、
ValueError: setting an array element with a sequence.  
 

batch
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
<tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>]

Comments

[fiveHundred]

回答しないでくださいとのことですが、問題が見受けられるので指摘します。編集履歴を確認したところ、「質問をした疑問が解決した」か「質問をしたのが恥ずかしくなった」といった理由で申請したのだと思いますが、それでの削除は許可しないそうです（https://teratail.com/help/delete-policy）。また、編集で消すのもダメなので、質問を元に戻してください。また、自己解決したならば自分で回答してそれをベストアンサーにしてください。

Answer 1

batch = [batch_file for batch_file in batch_files]
で試してみてください