Exemplo n.º 1
0
def test_sign_int32():
    op = P.Sign()
    op_wrapper = OpNetWrapper(op)

    input_x = Tensor(np.array([[20, 0, -10]]).astype(np.int32))
    outputs = op_wrapper(input_x)

    print(outputs)
    assert np.allclose(outputs.asnumpy(), [[1, 0, -1]])
Exemplo n.º 2
0
def test_sign_float32():
    op = P.Sign()
    op_wrapper = OpNetWrapper(op)

    input_x = Tensor(np.array([[2.0, 0.0, -1.0]]).astype(np.float32))
    outputs = op_wrapper(input_x)

    print(outputs)
    assert np.allclose(outputs.asnumpy(), [[1., 0., -1.]])
Exemplo n.º 3
0
 def __init__(self):
     super(SignNet, self).__init__()
     self.sign = P.Sign()
Exemplo n.º 4
0
        'block': P.ReduceSum(keep_dims=True),
        'desc_const': [0],
        'desc_inputs': [[3, 2]],
        'desc_bprop': [[1, 2]]}),
    ('Sum_5', {
        'block': P.ReduceSum(keep_dims=True),
        'desc_const': [()],
        'desc_inputs': [[2, 3, 4]],
        'desc_bprop': [[1, 1, 1]]}),
    ('Sum_6', {
        'block': P.ReduceSum(),
        'desc_const': [()],
        'desc_inputs': [[2, 3, 4]],
        'desc_bprop': [[1]]}),
    ('Sign', {
        'block': P.Sign(),
        'desc_inputs': [[3]],
        'desc_bprop': [[3]]}),
    ('Round', {
        'block': P.Round(),
        'desc_inputs': [[3]],
        'desc_bprop': [[3]]}),
    ('Atan2', {
        'block': P.Atan2(),
        'desc_inputs': [Tensor(np.array([0, 1]).astype(np.float32)),
                        Tensor(np.array([1, 1]).astype(np.float32))],
        'desc_bprop': [[2]]})
]

test_case_nn_ops = [
    ('BiasAdd', {
Exemplo n.º 5
0
 def __init__(self, strategy1, strategy2):
     super().__init__()
     self.matmul = P.MatMul().set_strategy(strategy1)
     self.sign = P.Sign().set_strategy(strategy2)
     self.matmul2 = P.MatMul().set_strategy(strategy1)
Exemplo n.º 6
0
        'skip': ['backward']}),

    # input is not tensor
    ('Abs0', {
        'block': (P.Abs(), {'exception': TypeError, 'error_keywords': ['Abs']}),
        'desc_inputs': [5.0],
        'skip': ['backward']}),
    # input is Tensor(bool)
    ('Abs1', {
        'block': (P.Abs(), {'exception': TypeError, 'error_keywords': ['Abs']}),
        'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.bool_))],
        'skip': ['backward']}),

    # input is not tensor
    ('Sign0', {
        'block': (P.Sign(), {'exception': TypeError, 'error_keywords': ['Sign']}),
        'desc_inputs': [5.0],
        'skip': ['backward']}),
    # input is Tensor(bool)
    ('Sign1', {
        'block': (P.Sign(), {'exception': TypeError, 'error_keywords': ['Sign']}),
        'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.bool_))],
        'skip': ['backward']}),

    # input is not tensor
    ('Round0', {
        'block': (P.Round(), {'exception': TypeError, 'error_keywords': ['Round']}),
        'desc_inputs': [5.0],
        'skip': ['backward']}),
    # input is Tensor(bool)
    ('Round1', {
Exemplo n.º 7
0
        'desc_inputs': [5.0],
        'skip': ['backward']
    }),
    # input is Tensor(bool)
    ('Abs1', {
        'block': (P.Abs(), {
            'exception': TypeError,
            'error_keywords': ['Abs']
        }),
        'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.bool_))],
        'skip': ['backward']
    }),

    # input is not tensor
    ('Sign0', {
        'block': (P.Sign(), {
            'exception': TypeError,
            'error_keywords': ['Sign']
        }),
        'desc_inputs': [5.0],
        'skip': ['backward']
    }),
    # input is Tensor(bool)
    ('Sign1', {
        'block': (P.Sign(), {
            'exception': TypeError,
            'error_keywords': ['Sign']
        }),
        'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.bool_))],
        'skip': ['backward']
    }),