def test_min_none_keepdims(t: Tensor) -> Tensor: return ep.min(t, axis=None, keepdims=True)
def test_min_keepdims(t: Tensor) -> Tensor: return ep.min(t, axis=0, keepdims=True)
def test_min_axis(t: Tensor) -> Tensor: return ep.min(t, axis=0)
def test_min_axes(dummy: Tensor) -> Tensor: t = ep.ones(dummy, 30).float32().reshape((3, 5, 2)) return ep.min(t, axis=(0, 1))
def test_min(t: Tensor) -> Tensor: return ep.min(t)