[AMD] CI - enable test case for amd ci : triton_attention_kernels , torch_compile_moe (#16559)
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@@ -227,7 +227,7 @@ jobs:
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- name: Run test
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timeout-minutes: 30
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run: |
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bash scripts/ci/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-small-1-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 12
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bash scripts/ci/amd_ci_exec.sh -w "/sglang-checkout/test" python3 run_suite.py --hw amd --suite stage-b-test-small-1-gpu-amd --auto-partition-id ${{ matrix.part }} --auto-partition-size 12 --timeout-per-file 1800
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stage-b-test-small-1-gpu-amd-mi35x:
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needs: [check-changes, stage-a-test-1-amd]
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@@ -20,15 +20,11 @@ from sglang.srt.layers.attention.triton_ops.prefill_attention import (
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)
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from sglang.srt.utils import get_device
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.test_utils import CustomTestCase
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from sglang.test.test_utils import CustomTestCase, is_in_amd_ci
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# Triton attention kernel unit tests (decode, extend, prefill)
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register_cuda_ci(est_time=30, suite="stage-b-test-small-1-gpu")
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register_amd_ci(
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est_time=30,
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suite="stage-b-test-small-1-gpu-amd",
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disabled="test was never enabled for AMD CI, needs validation",
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)
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register_amd_ci(est_time=30, suite="stage-b-test-small-1-gpu-amd")
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def extend_attention_fwd_torch(
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@@ -627,7 +623,10 @@ class TestTritonAttention(CustomTestCase):
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)
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print(cos_sim.item())
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self.assertTrue(cos_sim.item() > 0.99)
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self.assertTrue(torch.allclose(o, o_grouped, atol=3e-2))
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if is_in_amd_ci():
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self.assertTrue(torch.allclose(o, o_grouped, atol=5e-2))
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else:
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self.assertTrue(torch.allclose(o, o_grouped, atol=3e-2))
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def test_grouped_decode_attention(self):
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seq_lens = [5, 100, 128, 500]
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@@ -764,11 +763,18 @@ class TestTritonAttention(CustomTestCase):
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)
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# Compare results
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self.assertTrue(
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torch.allclose(o_regular, o_unified, rtol=0.15, atol=0.15),
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f"Unified kernel output differs from 2-stage kernel. "
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f"Max diff: {(o_regular - o_unified).abs().max()}",
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)
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if is_in_amd_ci():
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self.assertTrue(
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torch.allclose(o_regular, o_unified, rtol=0.15, atol=0.17),
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f"Unified kernel output differs from 2-stage kernel. "
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f"Max diff: {(o_regular - o_unified).abs().max()}",
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)
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else:
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self.assertTrue(
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torch.allclose(o_regular, o_unified, rtol=0.15, atol=0.15),
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f"Unified kernel output differs from 2-stage kernel. "
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f"Max diff: {(o_regular - o_unified).abs().max()}",
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)
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def test_extend_attention_unified_vs_regular(self):
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"""Test unified kernel matches 2-stage kernel across different configs."""
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@@ -15,13 +15,18 @@
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import multiprocessing as mp
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import unittest
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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from sglang.test.lora_utils import (
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LORA_MODELS_QWEN3,
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run_lora_multiple_batch_on_model_cases,
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)
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register_cuda_ci(est_time=97, suite="nightly-1-gpu", nightly=True)
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register_amd_ci(
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est_time=30,
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suite="stage-b-test-small-1-gpu-amd",
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disabled="see https://github.com/sgl-project/sglang/issues/13107",
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)
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from sglang.test.test_utils import CustomTestCase
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@@ -1,6 +1,7 @@
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci
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register_cuda_ci(est_time=210, suite="stage-b-test-small-1-gpu")
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register_amd_ci(est_time=1400, suite="stage-b-test-small-1-gpu-amd")
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import time
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import unittest
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@@ -16,7 +16,7 @@ from sglang.test.test_utils import (
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)
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DEEPSEEK_R1_MODEL_PATH = "amd/DeepSeek-R1-MXFP4-Preview"
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SERVER_LAUNCH_TIMEOUT = 1000
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SERVER_LAUNCH_TIMEOUT = 1200
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class TestDeepseekR1MXFP4(CustomTestCase):
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