def test_matrix_to_numpy_1(self): A = Matrix(Shape(10,10,10)) A.fill(42.0) B = A.to_numpy() self.assertEquals((10,10,10), B.shape) self.assertTrue(np.all(B[:,:,:] == 42.0))
def test_matrix_to_numpy_1(self): A = Matrix(Shape(10, 10, 10)) A.fill(42.0) B = A.to_numpy() self.assertEquals((10, 10, 10), B.shape) self.assertTrue(np.all(B[:, :, :] == 42.0))
def test_fill(self): m1 = Matrix(Shape(10, 10, 10)); m1.fill(1.0) self.assertEqual(m1.get(4, 4, 4), 1.0) self.assertEqual(m1.uniform_value, 1.0) self.assertTrue(m1.isUniform()) m1.set(4, 4, 4, 2.0); self.assertEqual(m1.get(4, 4, 4), 2.0) self.assertFalse(m1.isUniform())
def test_fill(self): m1 = Matrix(Shape(10, 10, 10)) m1.fill(1.0) self.assertEqual(m1.get(4, 4, 4), 1.0) self.assertEqual(m1.uniform_value, 1.0) self.assertTrue(m1.isUniform()) m1.set(4, 4, 4, 2.0) self.assertEqual(m1.get(4, 4, 4), 2.0) self.assertFalse(m1.isUniform())