309 lines
9.8 KiB
Python
309 lines
9.8 KiB
Python
import unittest
|
|
|
|
import torch
|
|
|
|
from sglang.srt.speculative.eagle_utils import (
|
|
build_tree_kernel_efficient,
|
|
organize_draft_results,
|
|
)
|
|
|
|
|
|
class TestBuildEagleTree(unittest.TestCase):
|
|
"""Unit tests for build_eagle_tree functionality."""
|
|
|
|
def test_build_tree_kernel_efficient(self):
|
|
"""Test the build_tree_kernel_efficient function with known inputs and expected outputs."""
|
|
verified_id = torch.tensor([29974, 13], device="cuda", dtype=torch.int32)
|
|
score_list = [
|
|
torch.tensor(
|
|
[
|
|
[[7.1127e-01, 2.8292e-01, 2.2995e-03, 1.7357e-03]],
|
|
[[9.7476e-01, 2.2219e-02, 6.5031e-04, 1.3212e-04]],
|
|
],
|
|
dtype=torch.float32,
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
[6.9142e-01, 1.2863e-02, 1.6873e-03, 1.1871e-03],
|
|
[2.4787e-01, 1.8818e-02, 1.4204e-02, 9.2235e-04],
|
|
[2.2971e-03, 1.6700e-06, 1.8737e-07, 8.3146e-08],
|
|
[1.2771e-03, 2.4374e-04, 1.7832e-04, 1.1947e-05],
|
|
],
|
|
[
|
|
[8.4832e-02, 6.6068e-02, 5.8304e-02, 5.7851e-02],
|
|
[2.3616e-03, 1.1243e-03, 5.4368e-04, 2.7768e-04],
|
|
[2.5286e-04, 1.5578e-04, 2.8817e-05, 1.2888e-05],
|
|
[1.2834e-04, 2.5417e-06, 1.1279e-06, 1.6088e-08],
|
|
],
|
|
],
|
|
dtype=torch.float32,
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
[6.6438e-01, 2.6997e-02, 2.4236e-05, 4.0821e-06],
|
|
[2.4402e-01, 2.8409e-03, 5.0935e-04, 2.9022e-04],
|
|
[1.6178e-02, 2.0567e-03, 4.5892e-04, 3.0034e-05],
|
|
[1.3023e-02, 5.0497e-04, 3.6371e-04, 8.7750e-05],
|
|
],
|
|
[
|
|
[2.3263e-02, 2.0054e-02, 9.3990e-03, 2.7783e-03],
|
|
[6.4156e-02, 5.5506e-04, 1.0429e-04, 9.7211e-05],
|
|
[4.9950e-02, 5.0630e-03, 9.0068e-04, 3.3656e-04],
|
|
[7.5817e-03, 8.5731e-04, 6.9972e-04, 6.0793e-04],
|
|
],
|
|
],
|
|
dtype=torch.float32,
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
[6.6420e-01, 1.0525e-04, 6.5864e-05, 1.2253e-06],
|
|
[1.3019e-01, 1.0461e-01, 5.2083e-03, 1.6777e-03],
|
|
[2.0103e-02, 6.7335e-03, 1.2625e-04, 1.0364e-05],
|
|
[1.5142e-02, 7.0819e-04, 9.6595e-05, 8.7951e-05],
|
|
],
|
|
[
|
|
[5.8608e-02, 1.8840e-03, 7.8535e-04, 4.4400e-04],
|
|
[1.2185e-02, 2.0684e-03, 1.7418e-03, 1.4327e-03],
|
|
[6.2455e-03, 6.1487e-03, 2.6862e-03, 1.8034e-03],
|
|
[1.8590e-03, 1.6151e-03, 1.2481e-03, 3.6038e-04],
|
|
],
|
|
],
|
|
dtype=torch.float32,
|
|
device="cuda",
|
|
),
|
|
]
|
|
token_list = [
|
|
torch.tensor(
|
|
[[29896, 29906, 29900, 29945], [13, 2, 29871, 28956]],
|
|
dtype=torch.int64,
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
29889,
|
|
29974,
|
|
29945,
|
|
29900,
|
|
29974,
|
|
29922,
|
|
29930,
|
|
29958,
|
|
29889,
|
|
29974,
|
|
29930,
|
|
29945,
|
|
29974,
|
|
29922,
|
|
29930,
|
|
29958,
|
|
],
|
|
[
|
|
22550,
|
|
4136,
|
|
16492,
|
|
8439,
|
|
29871,
|
|
2,
|
|
3001,
|
|
13,
|
|
2,
|
|
13,
|
|
29906,
|
|
29946,
|
|
2,
|
|
13,
|
|
29871,
|
|
259,
|
|
],
|
|
],
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
29946,
|
|
29945,
|
|
29953,
|
|
29906,
|
|
29896,
|
|
29945,
|
|
29900,
|
|
29906,
|
|
29896,
|
|
29945,
|
|
29906,
|
|
29953,
|
|
29896,
|
|
29945,
|
|
29906,
|
|
29946,
|
|
],
|
|
[
|
|
29871,
|
|
2,
|
|
29901,
|
|
29889,
|
|
29871,
|
|
2,
|
|
395,
|
|
259,
|
|
29901,
|
|
29871,
|
|
2,
|
|
29889,
|
|
3001,
|
|
1234,
|
|
7146,
|
|
2186,
|
|
],
|
|
],
|
|
device="cuda",
|
|
),
|
|
torch.tensor(
|
|
[
|
|
[
|
|
29946,
|
|
29974,
|
|
29945,
|
|
29930,
|
|
29889,
|
|
29922,
|
|
29974,
|
|
29930,
|
|
29974,
|
|
29946,
|
|
29930,
|
|
29922,
|
|
29889,
|
|
29974,
|
|
29945,
|
|
29922,
|
|
],
|
|
[
|
|
29941,
|
|
29906,
|
|
2,
|
|
29946,
|
|
29871,
|
|
450,
|
|
319,
|
|
14990,
|
|
29946,
|
|
29941,
|
|
2,
|
|
29906,
|
|
29871,
|
|
2,
|
|
3001,
|
|
13,
|
|
],
|
|
],
|
|
device="cuda",
|
|
),
|
|
]
|
|
parents_list = [
|
|
torch.tensor(
|
|
[[-1, 0, 1, 2, 3], [-1, 0, 1, 2, 3]], dtype=torch.int64, device="cuda"
|
|
),
|
|
torch.tensor(
|
|
[[4, 8, 9, 10], [4, 5, 6, 7]], dtype=torch.int64, device="cuda"
|
|
),
|
|
torch.tensor(
|
|
[[20, 24, 21, 28], [24, 28, 20, 21]], dtype=torch.int64, device="cuda"
|
|
),
|
|
torch.tensor(
|
|
[[36, 40, 41, 44], [36, 40, 44, 45]], dtype=torch.int64, device="cuda"
|
|
),
|
|
]
|
|
seq_lens = torch.tensor([5, 10], dtype=torch.int64, device="cuda")
|
|
topk = 4
|
|
depth = 4
|
|
num_draft_token = 8
|
|
|
|
parent_list, top_scores_index, draft_tokens = organize_draft_results(
|
|
score_list, token_list, parents_list, num_draft_token
|
|
)
|
|
|
|
(
|
|
tree_mask,
|
|
position,
|
|
retrieve_index,
|
|
retrieve_next_token,
|
|
retrieve_next_sibling,
|
|
draft_tokens,
|
|
) = build_tree_kernel_efficient(
|
|
verified_id=verified_id,
|
|
parent_list=parent_list,
|
|
top_scores_index=top_scores_index,
|
|
draft_tokens=draft_tokens,
|
|
seq_lens=seq_lens,
|
|
seq_lens_sum=torch.sum(seq_lens).item(),
|
|
topk=topk,
|
|
spec_steps=depth,
|
|
num_verify_tokens=num_draft_token,
|
|
)
|
|
|
|
# Verify expected outputs
|
|
self.assertEqual(
|
|
position.tolist(),
|
|
[5, 6, 6, 7, 7, 8, 8, 9, 10, 11, 12, 12, 12, 12, 13, 14],
|
|
"Position tensor does not match expected values",
|
|
)
|
|
self.assertEqual(
|
|
retrieve_index.tolist(),
|
|
[
|
|
[0, 1, 2, 3, 4, 5, 6, 7],
|
|
[8, 9, 10, 11, 12, 13, 14, 15],
|
|
],
|
|
"Retrieve index tensor does not match expected values",
|
|
)
|
|
self.assertEqual(
|
|
retrieve_next_token.tolist(),
|
|
[
|
|
[1, 3, 4, 5, 6, 7, -1, -1],
|
|
[1, 2, -1, 6, -1, -1, 7, -1],
|
|
],
|
|
"Retrieve next token tensor does not match expected values",
|
|
)
|
|
self.assertEqual(
|
|
retrieve_next_sibling.tolist(),
|
|
[
|
|
[-1, 2, -1, -1, -1, -1, -1, -1],
|
|
[-1, -1, 3, 4, 5, -1, -1, -1],
|
|
],
|
|
"Retrieve next sibling tensor does not match expected values",
|
|
)
|
|
self.assertEqual(
|
|
draft_tokens.tolist(),
|
|
[
|
|
29974,
|
|
29896,
|
|
29906,
|
|
29889,
|
|
29974,
|
|
29946,
|
|
29896,
|
|
29946,
|
|
13,
|
|
13,
|
|
22550,
|
|
4136,
|
|
16492,
|
|
8439,
|
|
29871,
|
|
29941,
|
|
],
|
|
"Draft tokens tensor does not match expected values",
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|