`logits` and `labels` must have the same shape

This error occurs when the shape of the `logits` tensor and the `labels` tensor do not match. In most cases, the `logits` tensor is the output of a neural network model, and the `labels` tensor is the ground truth values of the targets.

To fix this error, you can make sure that the `logits` tensor and the `labels` tensor have the same shape. This can be achieved by resizing one of the tensors to match the shape of the other.

For example, if the `logits` tensor has shape `(batch_size, num_classes)` and the `labels` tensor has shape `(batch_size,)`, you can reshape the `labels` tensor to have shape `(batch_size, num_classes)` using the `tf.one_hot` function:

labels = tf.one_hot(labels, num_classes)

Alternatively, you can modify the architecture of the model to output logits that match the shape of the labels.