forked from mindspore-Ecosystem/mindspore
add testcase related to auto-monad
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@ -1467,3 +1467,43 @@ def test_multi_add_assign():
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outputs = [r2.asnumpy(), r1.asnumpy(), net.p.data.asnumpy()]
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expects = numpy_out(p, i0, i1, i2)
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np.testing.assert_array_equal(outputs, expects)
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@pytest.mark.skip(reason="not supported yet")
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def test_multi_abs_add_assign():
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class Net(Cell):
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def __init__(self, para):
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super(Net, self).__init__()
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self.add = P.Add()
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self.sub = P.Sub()
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self.mul = P.Mul()
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self.abs = P.Abs()
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self.assign = P.Assign()
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self.p = Parameter(para, name='para')
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def construct(self, a, d, e):
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tmp = self.abs(self.add(self.abs(a), self.abs(self.mul(a, a))))
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res1 = self.add(self.p, tmp)
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mul = self.mul(d, e)
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self.assign(self.p, mul)
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res2 = self.sub(self.p, e)
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return res2, res1, tmp
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def numpy_out(p, a, d, e):
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tmp = np.abs(np.abs(a) + np.abs(a * a))
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res1 = p + tmp
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res_as = d * e
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res2 = d * e - e
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return res2, res1, res_as, tmp
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p = -(np.abs(np.random.normal(0, 1, [3])) + 1).astype(np.float32)
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i0 = -(np.abs(np.random.normal(0, 1, [3])) + 1).astype(np.float32)
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i1 = -(np.abs(np.random.normal(0, 1, [3])) + 1).astype(np.float32)
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i2 = -(np.abs(np.random.normal(0, 1, [3])) + 1).astype(np.float32)
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net = Net(Tensor(p))
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r2, r1, tmp = net(Tensor(i0), Tensor(i1), Tensor(i2))
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outputs = [r2.asnumpy(), r1.asnumpy(), net.p.data.asnumpy(), tmp.asnumpy()]
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expects = numpy_out(p, i0, i1, i2)
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np.testing.assert_array_equal(outputs, expects)
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