core_test.py 文件源码

def setUp(self):
    super(FloatBinaryOpsTest, self).setUp()

    self.ops = [
        ('igamma', None, math_ops.igamma, core.igamma),
        ('igammac', None, math_ops.igammac, core.igammac),
        ('zeta', None, math_ops.zeta, core.zeta),
        ('polygamma', None, math_ops.polygamma, core.polygamma),
        ('maximum', None, math_ops.maximum, core.maximum),
        ('minimum', None, math_ops.minimum, core.minimum),
        ('squared_difference', None, math_ops.squared_difference,
         core.squared_difference),
    ]
    total_size = np.prod([v.size for v in self.original_lt.axes.values()])
    test_lt = core.LabeledTensor(
        math_ops.cast(self.original_lt, dtypes.float32) / total_size,
        self.original_lt.axes)
    self.test_lt_1 = test_lt
    self.test_lt_2 = 1.0 - test_lt
    self.test_lt_1_broadcast = self.test_lt_1.tensor
    self.test_lt_2_broadcast = self.test_lt_2.tensor
    self.broadcast_axes = self.test_lt_1.axes