def __init__(self, strategy1, strategy2, strategy3):
super().__init__()
self.matmul1 = P.MatMul().set_strategy(strategy1)
self.matmul2 = P.MatMul().set_strategy(strategy2)
self.matmul3 = P.MatMul().set_strategy(strategy3)
self.diag = P.Diag()
self.fill = P.Fill()
def __init__(self):
super(DiagNet, self).__init__()
self.fill = P.Fill()
self.diag = P.Diag()
'block': NetForPackInput(P.Pack()),
'desc_inputs':[[128, 128], [128, 128]],
'desc_bprop':[[2, 128, 128]],
}),
('Unpack_0', {
'block': NetForUnpackInput(P.Unpack(axis=0)),
'desc_inputs':[[2, 4]],
'desc_bprop':[[4], [4]],
}),
('Unpack_1', {
'block': NetForUnpackInput(P.Unpack(axis=-1)),
'desc_inputs':[Tensor(np.array([[1, 1, 1]], np.float32))],
'desc_bprop':[[1], [1], [1]],
}),
('Diag', {
'block': P.Diag(),
'desc_inputs': [[4]],
'desc_bprop': [[4, 4]],
}),
('DiagPart', {
'block': P.DiagPart(),
'desc_inputs': [[4, 4]],
'desc_bprop': [[4]],
}),
('SpaceToBatch_1', {
'block': P.SpaceToBatch(2, [[0, 0], [0, 0]]),
'desc_inputs': [[1, 3, 2, 2]],
'desc_bprop': [[4, 3, 1, 1]],
}),
('SpaceToBatch_2', {
'block': P.SpaceToBatch(2, [[1, 1], [0, 4]]),
