def test_Erf1D_double(self):
npr = temp_erf(self.np_double_a)
dcr = dc.erf(self.dc_double_a)
np.testing.assert_allclose(npr,
np.array(dcr.data()).astype(np.float64),
rtol=1e-3,
atol=1e-3)
def test_Erf2D_double_1(self):
np_double_a = np.reshape(self.np_double_a, (3, 16))
dc_double_a = dc.reshape(self.dc_double_a, (3, 16))
npr = temp_erf(np_double_a)
dcr = dc.erf(dc_double_a)
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float64),
rtol=1e-3,
atol=1e-3)
def test_Erf2D_float_3(self):
np_float_a = np.reshape(self.np_float_a, (12, 4))
dc_float_a = dc.reshape(self.dc_float_a, (12, 4))
npr = temp_erf(np_float_a)
dcr = dc.erf(dc_float_a)
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_nnScalar_erf (self):
np.testing.assert_allclose(temp_erf(self.random_number1), dc.erf(self.random_number1), rtol=1e-3, atol=1e-3)
np.testing.assert_allclose(temp_erf(self.random_number2), dc.erf(self.random_number2), rtol=1e-3, atol=1e-3)
np.testing.assert_allclose(temp_erf(self.random_number3), dc.erf(self.random_number3), rtol=1e-3, atol=1e-3)