`dpctl.tensor.tan` returns incorrect result
#2893 · C++ · ★ 129 · BSD-3-Clause · updated 3mo ago
It seems dpctl.tensor.tan returns result which differs with numpy and Intel MKL: import dpnp, numpy, dpctl, dpctl.tensor as dpt a = numpy.array([11], dtype='F') numpy.tan(a) # Out: array([-225.95084+0.j], dtype=complex64) ia = dpnp.array(a, device='cpu') dpnp.tan(ia) #…
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Cleared 2m ago