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add seed in CPU UTs to avoid flaky failure (#7333)

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This commit is contained in:
Chunyuan WU
2025-06-19 10:12:14 +08:00
committed by GitHub
parent 20a503c7d1
commit 9179ea1595
10 changed files with 20 additions and 0 deletions
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2
test/srt/cpu/test_activation.py
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@@ -8,6 +8,8 @@ from utils import SiluAndMul, precision
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestActivation(CustomTestCase): class TestActivation(CustomTestCase):
M = [128, 129, 257] M = [128, 129, 257]

2
test/srt/cpu/test_decode.py
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@@ -6,6 +6,8 @@ from torch.nn.functional import scaled_dot_product_attention
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestDecodeAttention(CustomTestCase): class TestDecodeAttention(CustomTestCase):
def _run_sdpa_forward_decode( def _run_sdpa_forward_decode(

2
test/srt/cpu/test_extend.py
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@@ -6,6 +6,8 @@ from torch.nn.functional import scaled_dot_product_attention
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestExtendAttention(CustomTestCase): class TestExtendAttention(CustomTestCase):

2
test/srt/cpu/test_gemm.py
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@@ -14,6 +14,8 @@ from utils import (
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class Mod(nn.Module): class Mod(nn.Module):
def __init__(self, input_channel, output_channel, has_bias): def __init__(self, input_channel, output_channel, has_bias):

2
test/srt/cpu/test_mla.py
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@@ -8,6 +8,8 @@ from utils import precision
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestMLA(CustomTestCase): class TestMLA(CustomTestCase):
def _run_sdpa_forward_decode( def _run_sdpa_forward_decode(

2
test/srt/cpu/test_moe.py
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@@ -8,6 +8,8 @@ import torch
kernel = torch.ops.sgl_kernel kernel = torch.ops.sgl_kernel
torch.manual_seed(0)
from utils import ( from utils import (
BLOCK_K, BLOCK_K,
BLOCK_N, BLOCK_N,

2
test/srt/cpu/test_norm.py
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@@ -8,6 +8,8 @@ from utils import make_non_contiguous, precision
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestNorm(CustomTestCase): class TestNorm(CustomTestCase):
M = [4096, 1024] M = [4096, 1024]

2
test/srt/cpu/test_rope.py
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@@ -10,6 +10,8 @@ from sglang.srt.layers.rotary_embedding import (
) )
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestROPE(CustomTestCase): class TestROPE(CustomTestCase):
def test_deepseek_v2_rope(self): def test_deepseek_v2_rope(self):

2
test/srt/cpu/test_shared_expert.py
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@@ -22,6 +22,8 @@ from utils import (
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
class TestSharedExpert(CustomTestCase): class TestSharedExpert(CustomTestCase):
M = [2, 121] M = [2, 121]

2
test/srt/cpu/test_topk.py
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@@ -13,6 +13,8 @@ from sglang.srt.layers.moe.topk import grouped_topk_gpu as native_grouped_topk
from sglang.srt.models.llama4 import Llama4MoE from sglang.srt.models.llama4 import Llama4MoE
from sglang.test.test_utils import CustomTestCase from sglang.test.test_utils import CustomTestCase
torch.manual_seed(0)
# This is used by the Deepseek-V2 model # This is used by the Deepseek-V2 model
class TestGroupedTopK(CustomTestCase): class TestGroupedTopK(CustomTestCase):