Python ValueError：检查输入时出错：预期输入有4个维度，但得到了具有形状的数组（859307，1）

我正在创建一个卷积自动编码器，它接收16x16个图像，但我一直收到以下错误：

Traceback (most recent call last):
  File "WTApruning.py", line 69, in <module>
    validation_data=(x_test, x_test))
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 709, in fit
    shuffle=shuffle)
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 2651, in _standardize_user_data
    exception_prefix='input')
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_utils.py", line 376, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking input: expected input to have 4 dimensions, but got array with shape (859307, 1)

添加了重塑后的新错误：

Traceback (most recent call last):
  File "WTApruning.py", line 43, in <module>
    x_train = x_train.reshape(x_train,(len(x_train),16,16,1))
TypeError: only integer scalar arrays can be converted to a scalar index

回溯（最近一次呼叫最后一次）：
文件“wtaprunning.py”，第43行，在
x_列=x_列。重塑（x_列，（len（x_列），16,16,1））
TypeError:只能将整数标量数组转换为标量索引

未重新整形的错误：

Traceback (most recent call last):
  File "WTApruning.py", line 68, in <module>
    validation_data=(x_test, x_test))
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 709, in fit
    shuffle=shuffle)
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 2651, in _standardize_user_data
    exception_prefix='input')
 "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_utils.py", line 376, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking input: expected input to have 4 dimensions, but got array with shape (859307, 1)

回溯（最近一次呼叫最后一次）：
文件“wtaprunning.py”，第68行，在
验证数据=（x检验，x检验）
文件“/PycharmProjects/predictivemodel/venv/lib/python3.6/site packages/tensorflow/python/keras/engine/training.py”，第709行
洗牌
文件“/PycharmProjects/predictivemodel/venv/lib/python3.6/site packages/tensorflow/python/keras/engine/training.py”，第2651行，在用户数据中
异常（前缀为“输入”）
标准化输入数据中的第376行“/PycharmProjects/predictivemodel/venv/lib/python3.6/site packages/tensorflow/python/keras/engine/training_utils.py”
“带形状”+str（数据形状））
ValueError：检查输入时出错：预期输入有4个维度，但得到了具有形状的数组（859307，1）

您输入的x\U序列不是4d输入。 您应该在将其送入网络之前对其进行重塑。

---

最好的

如果您的输入是16x16个图像，为什么您的x_列的形状像（859307，1）？正确。我会检查x_列的输入大小now@MatiasValdenegro还刚刚添加了我用来定义x_train和x_testCode的代码，x_testCode没有告诉我们太多，您正在手动将其重塑为（-1859307，1），为什么？删除了那一行。更新了代码，改了一行-谢谢。

Traceback (most recent call last):
  File "WTApruning.py", line 68, in <module>
    validation_data=(x_test, x_test))
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 709, in fit
    shuffle=shuffle)
  File "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 2651, in _standardize_user_data
    exception_prefix='input')
 "/PycharmProjects/predictivemodel/venv/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_utils.py", line 376, in standardize_input_data
    'with shape ' + str(data_shape))
ValueError: Error when checking input: expected input to have 4 dimensions, but got array with shape (859307, 1)