[Numpy-discussion] Unexplained nans in matrix multiplication
Dag Sverre Seljebotn
dagss@student.matnat.uio...
Thu Oct 29 08:26:44 CDT 2009
I'm getting (to me( very mysterious NaNs when doing matrix
multiplication with certain (randomly generated) data:
In [52]: a.shape, b.shape, i, j
Out[52]: ((22, 1000), (1000, 22), 0, 16)
In [53]: np.dot(a, b)[i,j]
Out[53]: (31.322778824758661+nan*j)
In [54]: np.dot(a[i,:], b[:,j])
Out[54]: (31.322778824758657+6.5017268607881213j)
In [55]: np.any(np.isnan(a)), np.any(np.isnan(b))
Out[55]: (False, False)
In [63]: np.max(np.abs(np.vstack((a.real, a.imag, b.real.T, b.imag.T))))
Out[63]: 4.0744710639852633
dtype is complex128. Is this a bug? Should I start looking in NumPy,
ATLAS (Sage-compiled), the C compiler, the Fortran compiler...*shrug*
I realize that matmul doesn't have to happen via naive vector dot
products, but certainly one shouldn't hit Inf anywhere anyway?
Dag Sverre
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