def test_Mean1D(self):
npr = np.divide(np.add(self.np_a, self.np_b), 2.)
dcr = dc.mean(dc.ftvec([self.dc_a, self.dc_b]))
np.testing.assert_allclose(npr,
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_Min1D(self):
npr = np.minimum(self.np_a, self.np_b)
dcr = dc.min(dc.ftvec([self.dc_a, self.dc_b]))
np.testing.assert_allclose(npr,
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_Mean2D(self):
np_a = np.reshape(self.np_a, (6, 4))
np_b = np.reshape(self.np_b, (6, 4))
dc_a = dc.reshape(self.dc_a, (6, 4))
dc_b = dc.reshape(self.dc_b, (6, 4))
npr = np.divide(np.add(np_a, np_b), 2.)
dcr = dc.mean(dc.ftvec([dc_a, dc_b]))
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_Min4D(self):
np_a = np.reshape(self.np_a, (2, 2, 3, 2))
np_b = np.reshape(self.np_b, (2, 2, 3, 2))
dc_a = dc.reshape(self.dc_a, (2, 2, 3, 2))
dc_b = dc.reshape(self.dc_b, (2, 2, 3, 2))
npr = np.minimum(np_a, np_b)
dcr = dc.min(dc.ftvec([dc_a, dc_b]))
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)
def test_Maxof4(self):
np_a = np.reshape(self.np_a, (5, 4))
np_b = np.reshape(self.np_b, (2, 5, 4))
np_c = np.reshape(self.np_c, (5, 4))
np_d = np.reshape(self.np_d, (2, 5, 4))
npr = np.maximum(np.maximum(np_a, np_b), np.maximum(np_c, np_d))
dc_a = dc.reshape(self.dc_a, (5, 4))
dc_b = dc.reshape(self.dc_b, (2, 5, 4))
dc_c = dc.reshape(self.dc_c, (5, 4))
dc_d = dc.reshape(self.dc_d, (2, 5, 4))
dcr = dc.max(dc.ftvec([dc_a, dc_b, dc_c, dc_d]))
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)