mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-06-13 16:37:04 +08:00
22 lines
1.0 KiB
Python
22 lines
1.0 KiB
Python
import unittest
|
|
import numpy as np
|
|
from tinygrad import Tensor, GlobalCounters
|
|
|
|
class TestGetitemOps(unittest.TestCase):
|
|
def test_two_tensor_indices(self):
|
|
# linear indexing is O(idx_size), one-hot masks is O(idx_size * src_size)
|
|
src_np = np.random.rand(10, 100, 200).astype(np.float32)
|
|
idx1_np, idx2_np = np.random.randint(0, 100, (50, 60), dtype=np.int32), np.random.randint(0, 200, (50, 60), dtype=np.int32)
|
|
src, idx1, idx2 = Tensor(src_np), Tensor(idx1_np), Tensor(idx2_np)
|
|
# O(50*60) = 3K vs O(50*60*100*200) = 60M
|
|
GlobalCounters.reset()
|
|
np.testing.assert_allclose(src_np[0, idx1_np, idx2_np], src[0, idx1, idx2].numpy())
|
|
self.assertLess(GlobalCounters.global_ops, 100_000)
|
|
# consecutive indices not starting from dim 0: O(10*50*60) = 30K vs O(10*50*60*100*200) = 600M
|
|
GlobalCounters.reset()
|
|
np.testing.assert_allclose(src_np[:, idx1_np, idx2_np], src[:, idx1, idx2].numpy())
|
|
self.assertLess(GlobalCounters.global_ops, 1_000_000)
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|