non-broadcastable output operand with shape (32,5,1) doesn't match the broadcast shape (32,5,6)
时间: 2024-05-23 15:12:23 浏览: 20
这个错误通常是由于两个数组的形状不匹配导致的。在你的情况下,你正在尝试广播一个形状为 (32,5,1) 的数组到形状为 (32,5,6) 的数组。这意味着第二个数组中的每个元素都将被扩展为一个形状为 (1,) 的数组,然后与第一个数组进行运算。但是,由于第一个数组的最后一个维度的大小为 1,因此不能与形状为 (6,) 的数组进行广播。
要解决这个问题,你需要检查两个数组的形状,并确保它们在需要广播时具有兼容的形状。可以使用 NumPy 的 `reshape` 函数来更改数组的形状,或使用 NumPy 的广播功能来自动扩展数组的形状,以匹配另一个数组的形状。如果你提供更多的上下文信息和代码,我可以帮助你更具体地解决这个问题。
相关问题
non-broadcastable output operand with shape (50,1) doesn t match the broadcast shape (50,5)
This error occurs when you are trying to perform a broadcast operation on two arrays with incompatible shapes. In this case, the output operand has a shape of (50,1) which means it has 50 rows and 1 column, while the broadcast shape has a shape of (50,5) which means it has 50 rows and 5 columns.
Broadcasting is a way to perform operations on arrays with different shapes by stretching or duplicating one or more of the arrays to match the shape of the other. However, in this case, the arrays cannot be broadcasted because they have different numbers of columns.
To fix this error, you need to reshape one of the arrays to have the same number of columns as the other. You can use the numpy.reshape() function to do this. For example, if you want to reshape the output operand to have the same shape as the broadcast shape, you can use the following code:
```
import numpy as np
# create two arrays with incompatible shapes
a = np.ones((50,1))
b = np.ones((50,5))
# reshape the output operand to have the same shape as the broadcast shape
a = np.reshape(a, (50,5))
# perform the broadcast operation
c = a + b
```
This code will reshape the output operand to have the same shape as the broadcast shape, and then perform the broadcast operation without any errors.
ValueError: non-broadcastable output operand with shape (45,1) doesn't match the broadcast shape (45,5)
This error occurs when you are trying to perform an operation that requires two arrays to have the same shape, but they do not. Specifically, the error message is telling you that you are trying to assign the result of an operation to an array with shape (45,1), but the operation result has shape (45,5), which cannot be broadcast to match the shape of the output array.
To fix this error, you need to make sure that the arrays you are working with have compatible shapes. One possible solution is to reshape the output array to match the shape of the operation result. For example:
```
import numpy as np
a = np.random.rand(45, 5)
b = np.random.rand(45, 1)
c = a * b.reshape(45, 1)
```
In this example, we reshape the array `b` to have shape (45, 1) so that it can be broadcast with `a`. The result of the multiplication is an array with shape (45, 5), but we can reshape it to have shape (45, 1) by taking the sum of each row:
```
d = c.sum(axis=1, keepdims=True)
```
Now `d` has shape (45, 1) and can be assigned to an array with the same shape.
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