python type_error ai_generated true

ValueError: shapes (3,4) and (5,6) not aligned: 4 (dim 1) != 5 (dim 0)

ID: python/numpy-dot-shape-mismatch

Also available as: JSON · Markdown · 中文
80%Fix Rate
90%Confidence
0Evidence
2024-06-22First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

Matrix multiplication requires inner dimensions to match; here they don't.

generic

中文

矩阵乘法要求内维相等；此处不匹配。

Workarounds

  1. 90% success 
    A @ B.T if B has shape (6,5) and inner matches
  2. 85% success 
    np.einsum('ij,jk->ik', A, B) for explicit control

Dead Ends

Common approaches that don't work:

  1. 85% fail

    Still mismatched unless dims align

  2. 80% fail

    Silently produces wrong result or broadcast error