Expected dimension in the range [-1, 1), but got 1 [Op:ArgMax]
时间: 2024-04-19 20:25:15 浏览: 32
这个错误通常是由于输入的数据维度不正确引起的。ArgMax操作期望的输入是一个张量,并返回该张量中每个轴上的最大值所在的索引。在您的情况下,它发现了一个维度为1的张量,但是该维度的范围应该在[-1, 1)之间。
要解决这个问题,您需要检查您的输入数据的维度是否正确,并确保它满足ArgMax操作的要求。您可以使用`tf.shape`函数来检查张量的维度,并使用`tf.reshape`函数来调整张量的形状以满足要求。另外,请确保您的输入数据已经被正确地处理和准备好用于ArgMax操作。
相关问题
IndexError: Dimension out of range (expected to be in range of [-2, 1], but got 2)
This error message is typically encountered in programming languages such as Python and indicates that an index being accessed is out of range. The error message specifies that the index is expected to be in the range of [-2, 1], but instead, it is 2.
In Python, indexing starts at 0, so an index of -2 would refer to the second last element in the array or list, an index of -1 would refer to the last element, and an index of 0 would refer to the first element. Similarly, an index of 1 would refer to the second element, and so on.
To fix this error, you need to ensure that the index being accessed is within the valid range of [-2, 1]. Check the size of the array or list being accessed and ensure that the index used to access it is within the valid range.
IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
This error occurs when you try to access an index in a numpy array that is out of range.
For example, if you have a 1-dimensional array with only one element and you try to access the element at index 1, you will get this error.
To fix this error, you should make sure that the index you are trying to access is within the range of the array. You can use the `len()` function to check the length of the array and make sure that the index you are trying to access is within the range of the array.
Alternatively, you can use numpy's indexing capabilities to select a range of elements in the array. For example, if you want to select the first element of a 1-dimensional array, you can use `array[0]`.
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