mat1 and mat2 shapes cannot be multiplied (4x24 and 8x1)
时间: 2024-01-22 08:51:47 浏览: 28
This is because in order to multiply two matrices, the number of columns in the first matrix must be equal to the number of rows in the second matrix. In this case, mat1 has 24 columns and mat2 has only 1 row, which means they cannot be multiplied together.
相关问题
mat1 and mat2 shapes cannot be multiplied
错误信息"mat1 and mat2 shapes cannot be multiplied"表示矩阵mat1和mat2的维度不匹配,无法进行矩阵乘法操作。具体来说,这个错误可能是因为矩阵mat1的行数与矩阵mat2的列数不一致,或者矩阵mat1的列数与矩阵mat2的行数不一致。这通常是由于矩阵的维度定义不正确或者在进行矩阵乘法操作时输入的矩阵维度不符合要求导致的。要解决这个问题,你需要检查输入矩阵的维度定义,并确保它们满足矩阵乘法操作的要求。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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Alex net mat1 and mat2 shapes cannot be multiplied
The error message "mat1 and mat2 shapes cannot be multiplied" typically occurs when you are trying to perform matrix multiplication between matrices with incompatible shapes.
In the case of the AlexNet model, this error message could occur if the input data has a shape that is incompatible with the weights of the model. The input data should have the same shape as the input layer of the model, which is typically a 4D tensor of shape (batch_size, channels, height, width).
If you are seeing this error message, you may need to reshape your input data to match the expected input shape of the model. Alternatively, you may need to modify the architecture of the model to accept input data with a different shape.