tinygrad/test/test_tensor_data.py

68 lines
1.9 KiB
Python

import unittest, struct
from tinygrad import Tensor, dtypes
# format types: https://docs.python.org/3/library/struct.html
class TestTensorBytes(unittest.TestCase):
def test_bytes(self):
lst = Tensor(bytes(b"\xaa\xbb\xcc\xdd"))
assert lst.tolist() == [170, 187, 204, 221]
def test_float_bytes(self):
lst = Tensor(bytes(struct.pack("ff", 0.234, 0.8585)), dtype=dtypes.float32)
assert lst.shape == (2,)
assert abs(lst.tolist()[0] - 0.234) < 1e-6
assert abs(lst.tolist()[1] - 0.8585) < 1e-6
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_const(self):
a = Tensor(3, dtype=dtypes.int32)
dat = a.data()
assert dat.format == "i"
assert dat.itemsize == 4
assert dat.tolist() == 3
assert dat.shape == ()
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()