def test_log(self):
elements = 15
comparison = torch.arange(1, elements, dtype=torch.float64).log2()
# logarithm of float32
float32_tensor = ht.arange(1, elements, dtype=ht.float32)
float32_log2 = ht.log2(float32_tensor)
self.assertIsInstance(float32_log2, ht.tensor)
self.assertEqual(float32_log2.dtype, ht.float32)
self.assertEqual(float32_log2.dtype, ht.float32)
in_range = (float32_log2._tensor__array - comparison.type(torch.float32)) < FLOAT_EPSILON
self.assertTrue(in_range.all())
# logarithm of float64
float64_tensor = ht.arange(1, elements, dtype=ht.float64)
float64_log2 = ht.log2(float64_tensor)
self.assertIsInstance(float64_log2, ht.tensor)
self.assertEqual(float64_log2.dtype, ht.float64)
self.assertEqual(float64_log2.dtype, ht.float64)
in_range = (float64_log2._tensor__array - comparison) < FLOAT_EPSILON
self.assertTrue(in_range.all())
# logarithm of ints, automatic conversion to intermediate floats
int32_tensor = ht.arange(1, elements, dtype=ht.int32)
int32_log2 = ht.log2(int32_tensor)
self.assertIsInstance(int32_log2, ht.tensor)
self.assertEqual(int32_log2.dtype, ht.float64)
self.assertEqual(int32_log2.dtype, ht.float64)
in_range = (int32_log2._tensor__array - comparison) < FLOAT_EPSILON
self.assertTrue(in_range.all())
# log2arithm of longs, automatic conversion to intermediate floats
int64_tensor = ht.arange(1, elements, dtype=ht.int64)
int64_log2 = ht.log2(int64_tensor)
self.assertIsInstance(int64_log2, ht.tensor)
self.assertEqual(int64_log2.dtype, ht.float64)
self.assertEqual(int64_log2.dtype, ht.float64)
in_range = (int64_log2._tensor__array - comparison) < FLOAT_EPSILON
self.assertTrue(in_range.all())
# check exceptions
with self.assertRaises(TypeError):
ht.log2([1, 2, 3])
with self.assertRaises(TypeError):
ht.log2('hello world')
def test_log2(self):
elements = 15
tmp = torch.arange(1,
elements,
dtype=torch.float64,
device=self.device.torch_device).log2()
comparison = ht.array(tmp)
# logarithm of float32
float32_tensor = ht.arange(1, elements, dtype=ht.float32)
float32_log2 = ht.log2(float32_tensor)
self.assertIsInstance(float32_log2, ht.DNDarray)
self.assertEqual(float32_log2.dtype, ht.float32)
self.assertEqual(float32_log2.dtype, ht.float32)
self.assertTrue(
ht.allclose(float32_log2, comparison.astype(ht.float32)))
# logarithm of float64
float64_tensor = ht.arange(1, elements, dtype=ht.float64)
float64_log2 = ht.log2(float64_tensor)
self.assertIsInstance(float64_log2, ht.DNDarray)
self.assertEqual(float64_log2.dtype, ht.float64)
self.assertEqual(float64_log2.dtype, ht.float64)
self.assertTrue(ht.allclose(float64_log2, comparison))
# logarithm of ints, automatic conversion to intermediate floats
int32_tensor = ht.arange(1, elements, dtype=ht.int32)
int32_log2 = ht.log2(int32_tensor)
self.assertIsInstance(int32_log2, ht.DNDarray)
self.assertEqual(int32_log2.dtype, ht.float64)
self.assertEqual(int32_log2.dtype, ht.float64)
self.assertTrue(ht.allclose(int32_log2, comparison))
# logarithm of longs, automatic conversion to intermediate floats
int64_tensor = ht.arange(1, elements, dtype=ht.int64)
int64_log2 = int64_tensor.log2()
self.assertIsInstance(int64_log2, ht.DNDarray)
self.assertEqual(int64_log2.dtype, ht.float64)
self.assertEqual(int64_log2.dtype, ht.float64)
self.assertTrue(ht.allclose(int64_log2, comparison))
# check exceptions
with self.assertRaises(TypeError):
ht.log2([1, 2, 3])
with self.assertRaises(TypeError):
ht.log2("hello world")