#!/usr/bin/env python
import unittest
from tinygrad.tensor import Tensor
from tinygrad.ops import LoadOps
from tinygrad.nn import Conv2d

class TestConvShapetracker(unittest.TestCase):
  def test_conv_3x3_one_view(self):
    conv = Conv2d(16, 32, (3, 3))
    seen = set()

    # first run to init the weights, they are saved in seen
    conv(Tensor.empty(1, 16, 10, 10)).lazydata.schedule(seen)
    # run it again to get the kernels
    sched = [si for si in conv(Tensor.empty(1, 16, 10, 10)).lazydata.schedule(seen) if si.ast.op not in LoadOps]
    assert len(sched) == 1, f"conv should only have one kernel, getting {len(sched)}"
    print(sched[0])
    for arg in [sched[0].out, *sched[0].inputs]:
      print(arg.st)
      assert len(arg.st.views) == 1

if __name__ == '__main__':
  unittest.main()