mirror of https://github.com/commaai/tinygrad.git
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import unittest
|
|
from tinygrad import Tensor, dtypes
|
|
|
|
# format types: https://docs.python.org/3/library/struct.html
|
|
|
|
class TestTensorData(unittest.TestCase):
|
|
def test_data(self):
|
|
a = Tensor([1,2,3,4], dtype=dtypes.int32)
|
|
dat = a.data()
|
|
assert dat.itemsize == 4
|
|
assert list(dat) == [1,2,3,4]
|
|
assert dat.shape == (4,)
|
|
assert dat[0] == 1
|
|
assert dat[1] == 2
|
|
|
|
def test_data_uint8(self):
|
|
a = Tensor([1,2,3,4], dtype=dtypes.uint8)
|
|
dat = a.data()
|
|
assert dat.format == "B"
|
|
assert dat.itemsize == 1
|
|
assert dat[0] == 1
|
|
assert dat[1] == 2
|
|
|
|
def test_data_nested(self):
|
|
a = Tensor([[1,2],[3,4]], dtype=dtypes.int32)
|
|
dat = a.data()
|
|
assert dat.format == "i"
|
|
assert dat.itemsize == 4
|
|
assert dat.tolist() == [[1, 2], [3, 4]]
|
|
assert dat.shape == (2,2)
|
|
assert dat[0, 0] == 1
|
|
assert dat[1, 1] == 4
|
|
|
|
def test_data_float32(self):
|
|
a = Tensor([[1,2.5],[3,4]], dtype=dtypes.float32)
|
|
dat = a.data()
|
|
assert dat.format == "f"
|
|
assert dat[0, 1] == 2.5
|
|
|
|
@unittest.skip("requires python 3.12")
|
|
def test_data_float16(self):
|
|
a = Tensor([[1,2.5],[3,4]], dtype=dtypes.float16)
|
|
dat = a.data()
|
|
assert dat.format == "e"
|
|
assert dat.shape == (2,2)
|
|
# NOTE: python can't deref float16
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main() |