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_Min2D (self):
np_a = np.reshape(self.np_a, (3,4))
np_b = np.reshape(self.np_b, (3,4))
dc_a = dc.reshape(self.dc_a, (3,4));
dc_b = dc.reshape(self.dc_b, (3,4));
npr = np.minimum(np_a, np_b)
dcr = dc.min(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.vectorTensorFloat([dc_a, dc_b]))
np.testing.assert_allclose(npr.flatten(),
np.array(dcr.data()).astype(np.float32),
rtol=1e-3,
atol=1e-3)