def testNumpy(self):
numpy_arr = np.array([1.2, 2.3, 3.4, 4.5], dtype="float32")
vec = swig_paddle.Vector.createVectorFromNumpy(numpy_arr)
self.assertEqual(vec.isGpu(), swig_paddle.isUsingGpu())
vecData = vec.getData()
for n, v in zip(numpy_arr, vecData):
self.assertTrue(util.doubleEqual(n, v))
def testNumpy(self):
numpy_arr = np.array([1.2, 2.3, 3.4, 4.5], dtype="float32")
vec = swig_paddle.Vector.createVectorFromNumpy(numpy_arr)
self.assertEqual(vec.isGpu(), swig_paddle.isUsingGpu())
vecData = vec.getData()
for n, v in zip(numpy_arr, vecData):
self.assertTrue(util.doubleEqual(n, v))
def test_numpy(self):
numpy_mat = np.matrix([[1, 2], [3, 4], [5, 6]], dtype="float32")
m = swig_paddle.Matrix.createDenseFromNumpy(numpy_mat)
self.assertEqual((int(m.getHeight()), int(m.getWidth())), numpy_mat.shape)
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
for a, e in zip(m.getData(), [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]):
self.assertAlmostEqual(a, e)
def test_numpy(self):
numpy_mat = np.matrix([[1, 2], [3, 4], [5, 6]], dtype="float32")
m = swig_paddle.Matrix.createDenseFromNumpy(numpy_mat)
self.assertEqual((int(m.getHeight()), int(m.getWidth())),
numpy_mat.shape)
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
for a, e in zip(m.getData(), [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]):
self.assertAlmostEqual(a, e)
def test_create(self):
m = swig_paddle.IVector.create(range(10), False)
self.assertIsNotNone(m)
for i in xrange(10):
self.assertEqual(m[i], i)
m = swig_paddle.IVector.create(range(10))
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(m.getData(), range(10))
def test_create(self):
m = swig_paddle.IVector.create(range(10), False)
self.assertIsNotNone(m)
for i in xrange(10):
self.assertEqual(m[i], i)
m = swig_paddle.IVector.create(range(10))
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(m.getData(), range(10))
def testCreateZero(self):
v = swig_paddle.Vector.createZero(10, False)
self.assertIsNotNone(v)
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(v[i], 0))
v[i] = i
self.assertTrue(util.doubleEqual(v[i], i))
v = swig_paddle.Vector.createZero(10)
self.assertEqual(v.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(v.getData(), [0] * 10)
def test_createZero(self):
m = swig_paddle.IVector.createZero(10, False)
self.assertIsNotNone(m)
for i in xrange(10):
self.assertEqual(m[i], 0)
m[i] = i
self.assertEqual(m[i], i)
m = swig_paddle.IVector.createZero(10)
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(m.getData(), [0] * 10)
def testCreateZero(self):
v = swig_paddle.Vector.createZero(10, False)
self.assertIsNotNone(v)
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(v[i], 0))
v[i] = i
self.assertTrue(util.doubleEqual(v[i], i))
v = swig_paddle.Vector.createZero(10)
self.assertEqual(v.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(v.getData(), [0] * 10)
def test_createZero(self):
m = swig_paddle.IVector.createZero(10, False)
self.assertIsNotNone(m)
for i in xrange(10):
self.assertEqual(m[i], 0)
m[i] = i
self.assertEqual(m[i], i)
m = swig_paddle.IVector.createZero(10)
self.assertEqual(m.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(m.getData(), [0] * 10)
def testCreate(self):
v = swig_paddle.Vector.create([x / 100.0 for x in xrange(100)], False)
self.assertIsNotNone(v)
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(v[i], i / 100.0))
self.assertEqual(100, len(v))
v = swig_paddle.Vector.create([x / 100.0 for x in xrange(100)])
self.assertEqual(v.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(100, len(v))
vdata = v.getData()
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(vdata[i], i / 100.0))
def testCreate(self):
v = swig_paddle.Vector.create([x / 100.0 for x in xrange(100)], False)
self.assertIsNotNone(v)
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(v[i], i / 100.0))
self.assertEqual(100, len(v))
v = swig_paddle.Vector.create([x / 100.0 for x in xrange(100)])
self.assertEqual(v.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(100, len(v))
vdata = v.getData()
for i in xrange(len(v)):
self.assertTrue(util.doubleEqual(vdata[i], i / 100.0))
def test_numpy(self):
vec = np.array([1, 3, 4, 65, 78, 1, 4], dtype="int32")
iv = swig_paddle.IVector.createVectorFromNumpy(vec)
self.assertEqual(iv.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(iv.getData(), list(vec))
def test_numpy(self):
vec = np.array([1, 3, 4, 65, 78, 1, 4], dtype="int32")
iv = swig_paddle.IVector.createVectorFromNumpy(vec)
self.assertEqual(iv.isGpu(), swig_paddle.isUsingGpu())
self.assertEqual(iv.getData(), list(vec))