mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-01-09 15:08:02 -05:00
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
import unittest
|
|
from tinygrad import Tensor
|
|
from tinygrad.uop import Ops
|
|
|
|
class TestKernelize(unittest.TestCase):
|
|
def test_add_reshaped(self):
|
|
a = Tensor.ones(16,16).contiguous()
|
|
b = Tensor.zeros(16,16).contiguous()
|
|
ret = (a+b).sum(axis=1)
|
|
ret_reshaped_1 = ret.reshape(4,4)
|
|
ret_reshaped_2 = ret.reshape(2,8)
|
|
ret.kernelize()
|
|
self.assertIs(ret_reshaped_1.uop.src[0], ret_reshaped_2.uop.src[0])
|
|
|
|
def test_two_reduce(self):
|
|
a = Tensor.ones(16,16).contiguous()
|
|
a1 = a.sum(axis=1)
|
|
a0 = a1.sum(axis=0)
|
|
a0.kernelize()
|
|
self.assertEqual(len([s for s in a0.uop.toposort() if s.op is Ops.KERNEL]), 2)
|
|
self.assertIs(a1.uop.base.op, Ops.REDUCE_AXIS)
|
|
# input Tensor and user contiguous kernelize
|
|
self.assertIs(a0.uop.base.op, Ops.ASSIGN)
|
|
self.assertIs(a.uop.base.op, Ops.ASSIGN)
|
|
|
|
def test_two_reduce_w_add(self):
|
|
a = Tensor.ones(16,16).contiguous()
|
|
a1 = a.sum(axis=1)
|
|
a0 = (a1+1).sum(axis=0)
|
|
a0.kernelize()
|
|
# NOTE: the +1 is fused with a1, so a1 is not kernelized
|
|
self.assertIs(a1.uop.base.op, Ops.REDUCE_AXIS)
|
|
# the input to the REDUCE_AXIS is an ASSIGN though
|
|
self.assertIs(a1.uop.base.src[0].base.op, Ops.ASSIGN)
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|