b95fcf7f52aca8ad0b1afb3cfc64c8eed534fafe,tests/keras/backend/backend_test.py,,check_single_tensor_operation,#Any#Any#Any#,43

Before Change

def check_single_tensor_operation(function_name, input_shape, backend_list, **kwargs):
    val = np.random.random(input_shape) - 0.5

    z_list = []
    for k in backend_list:
        if k == KCSD:
            z = cntk_func_single_tensor(function_name, input_shape,
                                        **kwargs)([val])[0]
        else:
            z = k.eval(getattr(k, function_name)(k.variable(val), **kwargs))
        if hasattr(z, "_keras_shape"):
            assert z._keras_shape == z.shape
        z_list += [z]

    for (z1, z2) in zip(z_list[1:], z_list[:-1]):
        assert z1.shape == z2.shape
        assert_allclose(z1, z2, atol=1e-05)


def check_two_tensor_operation(function_name, x_input_shape,
                               y_input_shape, backend_list, **kwargs):
    xval = np.random.random(x_input_shape) - 0.5
    yval = np.random.random(y_input_shape) - 0.5

After Change

    z_list = []
    for k in backend_list:
        if shape_or_val:
            if (k == KC) & (cntk_dynamicity):
                z = cntk_func_single_tensor(function_name, x_shape,
                                            **kwargs)([x_val])[0]
            else:
                z = k.eval(getattr(k, function_name)(k.variable(x_val), **kwargs))
        else:
            z = k.eval(getattr(k, function_name)(x_shape_or_val, **kwargs))
        z_list += [z]

    if assert_value_with_ref is not None:
        assert_list_with_ref(z_list, assert_value_with_ref)

Instances