[PERF] Decouple projections from GDN custom op. Attempt 2 by vadiklyutiy · Pull Request #28083 · vllm-project/vllm

vadiklyutiy · 2025-11-05T00:50:08Z

Purpose

The second attempt for #27512

This PR is refactoring of GDN.

The main goal is to allow wider using of torch.compile.

Separated forward pass of GDN attention into three distinct pieces: Input Projection, Core Attention, Output Projection. Before projections was in the GDN custom op and were not covered by torch.compile.
Added RMSNormGated class that implements torch native gated rmsnorm and use it for GDN. torch.compile creates a good code for RMSNormGated even better than custom triton kernel used before.

Functional Test Result

lm_eval
Before

|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match|↑  |0.8491|±  |0.0099|
|     |       |strict-match    |     5|exact_match|↑  |0.8059|±  |0.0109|

After

|Tasks|Version|     Filter     |n-shot|  Metric   |   |Value |   |Stderr|
|-----|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|gsm8k|      3|flexible-extract|     5|exact_match|↑  |0.8544|±  |0.0097|
|     |       |strict-match    |     5|exact_match|↑  |0.8127|±  |0.0107|

Perf Test Result

Server

VLLM_ATTENTION_BACKEND=FLASH_ATTN VLLM_USE_FLASHINFER_MOE_FP16=1 vllm serve Qwen/Qwen3-Next-80B-A3B-Instruct -tp 4 --enable-expert-parallel --no-enable-prefix-caching --async-scheduling --max_cudagraph_capture_size=2048

Prefill

vllm bench serve --backend vllm --model Qwen/Qwen3-Next-80B-A3B-Instruct --endpoint /v1/completions --dataset-name random --random-input 8192 --random-output 1 --max-concurrency 512 --num-prompt 512 --ignore-eos

Before: Total Token throughput (tok/s): 104098.78
After: Total Token throughput (tok/s): 105270.70
Speedup: 1.1%

Decode1

vllm bench serve --backend vllm --model Qwen/Qwen3-Next-80B-A3B-Instruct --endpoint /v1/completions --dataset-name random --random-input 32 --random-output 1024 --max-concurrency 512 --num-prompt 512 --ignore-eos

Before: Output token throughput (tok/s): 19212.17
After: Output token throughput (tok/s): 22384.37
Speedup: 16.5%

Decode2

vllm bench serve --backend vllm --model Qwen/Qwen3-Next-80B-A3B-Instruct --endpoint /v1/completions --dataset-name random --random-input 32 --random-output 1024 --max-concurrency 1024 --num-prompt 1024 --ignore-eos

Before: Output token throughput (tok/s): 28821.37
After: Output token throughput (tok/s): 30298.90
Speed up: 5.1%

Decode3
Server

VLLM_ATTENTION_BACKEND=FLASH_ATTN VLLM_USE_FLASHINFER_MOE_FP16=1 vllm serve Qwen/Qwen3-Next-80B-A3B-Instruct -tp 4 --enable-expert-parallel --no-enable-prefix-caching --async-scheduling

(without increasing --max_cudagraph_capture_size)

vllm bench serve --backend vllm --model Qwen/Qwen3-Next-80B-A3B-Instruct --endpoint /v1/completions --dataset-name random --random-input 32 --random-output 1024 --max-concurrency 1024 --num-prompt 1024 --ignore-eos

Before: Output token throughput (tok/s): 16586.93
After: Output token throughput (tok/s): 18953.92
Speed up: 14.3%

gemini-code-assist

Code Review

This pull request refactors the Gated Delta Net (GDN) attention to improve torch.compile performance by decoupling input and output projections from the core custom operator. The changes are well-implemented and the introduction of a native RMSNormGated layer is a good addition. I have one suggestion to optimize the new RMSNormGated layer's performance.

gemini-code-assist · 2025-11-05T00:52:36Z

vllm/model_executor/layers/layernorm.py

+            out = x_normed * self.weight
+        else:
+            # Group RMS norm
+            from einops import rearrange


Importing einops inside the forward_native method can introduce a performance overhead, as the import statement will be executed every time this method is called. It's better to move this import to the top of the file to ensure it's only executed once when the module is loaded.

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chatgpt-codex-connector · 2025-11-05T15:20:12Z

vllm/model_executor/models/qwen3_next.py

        hidden_states: torch.Tensor,
        output: torch.Tensor,
    ):
-        return torch.ops.vllm.gdn_attention(
-            hidden_states,
-            output,
+        """
+        Forward pass with three parts:
+        1. Input projection
+        2. Core attention (custom op)
+        3. Output projection
+        """
+        num_tokens = hidden_states.size(0)
+
+        # ============================================================
+        # Part 1: Input Projection
+        # ============================================================
+        projected_states_qkvz, _ = self.in_proj_qkvz(hidden_states)
+        projected_states_ba, _ = self.in_proj_ba(hidden_states)
+        query, key, value, z, b, a = self.fix_query_key_value_ordering(
+            projected_states_qkvz, projected_states_ba
+        )
+        query, key, value = map(
+            lambda x: rearrange(x, "l p d -> l (p d)"), (query, key, value)
+        )
+        mixed_qkv = torch.cat((query, key, value), dim=-1)
+
+        # ============================================================
+        # Part 2: Core Attention (Custom Op)
+        # ============================================================
+        core_attn_out = torch.zeros(
+            (num_tokens, self.num_v_heads // self.tp_size, self.head_v_dim),
+            dtype=hidden_states.dtype,
+            device=hidden_states.device,
+        )
+
+        torch.ops.vllm.gdn_attention_core(
+            mixed_qkv,
+            b,
+            a,
+            core_attn_out,
            self.prefix,
        )

-    def _forward(
+        # ============================================================
+        # Part 3: Output Projection
+        # ============================================================
+        z_shape_og = z.shape
+        # Reshape input data into 2D tensor
+        core_attn_out = core_attn_out.reshape(-1, core_attn_out.shape[-1])
+        z = z.reshape(-1, z.shape[-1])
+        core_attn_out = self.norm(core_attn_out, z)
+        core_attn_out = core_attn_out.reshape(z_shape_og)


Preserve grad connection when writing core attention output

The refactor now preallocates core_attn_out with torch.zeros and _forward_core copies the computed attention values into this tensor (core_attn_out[:num_actual_tokens] = …). Because core_attn_out is a detached leaf that never participates in any differentiable operation, the subsequent normalization and output projection operate on a tensor that does not require gradients, so no gradient can flow back to mixed_qkv, b, or a. In the previous implementation core_attn_out was the result of the computations themselves and therefore carried a grad_fn. With the new code, any training or fine‑tuning pass will receive zero gradients through the GDN block. Consider returning the computed tensor from _forward_core (or constructing core_attn_out from the computation rather than copying into a zero buffer) so the graph remains connected.

Useful? React with 👍 / 👎.

youkaichao

idea looks good, please make sure tests are good too.

vadiklyutiy · 2025-11-05T15:46:43Z

idea looks good, please make sure tests are good too.

sure, I am working on it

ProExpertProg · 2025-11-05T17:23:59Z

Please fix DCO, also what was the reason for the revert originally?

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

vadiklyutiy · 2025-11-05T19:35:57Z

what was the reason for the revert originally?

#27512 had a bit wired CI fails. They didn't look as related to my changes: one test failed on CUDAART init, another out of memory. I couldn’t reproduce them locally, even with a configuration very close to the CI environment. I asked for any idea that can help. Simon, was a bit too kind, took into account that CI is a bit unstable last several day, and merged the PR. But several next commit's CI also failed on the same tests and we decided to revert.

vadiklyutiy · 2025-11-05T20:05:55Z

picking here and there I found the reason of CI fails. It isn't root cause but good enough IMO.

This is logs with fails
https://buildkite.com/vllm/ci/builds/37607/steps/canvas

after applying e7a9260
fails disappeared
https://buildkite.com/vllm/ci/builds/37696/steps/canvas

e7a9260 moved import from global scope to function scope. By some reason it caused fails. Hope it is a acceptable workaround.

youkaichao · 2025-11-06T02:30:14Z

e7a9260 moved import from global scope to function scope. By some reason it caused fails. Hope it is a acceptable workaround.

likely the code unconditionaly initializes cuda runtime, which we need to be careful about.

…ct#28083) Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

Bump vLLM version to v0.11.2 What's broken and changed by vLLM: 1. structured_output is broken by vllm-project/vllm#26866 2. get_mrope_input_positions is broken by vllm-project/vllm#28399 3. graph mode is broken by vllm-project/vllm#25110 we'll upgrade torch to 2.8 to fix the problem later 4. embedding is broken by vllm-project/vllm#27583 5. `get_attn_backend_cls` and attention backend is broken are broken by vllm-project/vllm#28534 6. spec decode is broken by vllm-project/vllm#28771 7. sp feature is broken by vllm-project/vllm#27126 8. mtp is broken by vllm-project/vllm#27922 9. lora is broken by vllm-project/vllm#21068 10. execute_model is broken by vllm-project/vllm#26866 11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by vllm-project/vllm#28159 12. kv cahe is broken by vllm-project/vllm#27753 13. dp is broken by vllm-project/vllm#25110 What's broken and changed by ourself: 1. qwen vl is broken by vllm-project/vllm#28455 We'll remove model files in the future to avoid this kind of error 2. Engine core is broken by vllm-project/vllm#23691 We'll remove the patch file in the future. 3. Ascend scheduler is broken by vllm-project/vllm#28733 We'll remove ascend scheudler later. 4. qwen3-next is broken by vllm-project/vllm#28083 We'll remove model files in the future to avoid this kind of error 5. qwen vl is broken by vllm-project/vllm#27764. We'll remove model files in the future Known issue: 1. ray doesn't work 2. the accuracy of qwen3-next is not correct 3. qwen3-vl is broken 4. prefix cache+ ascend scheduler + deepseek v2 lite is broken. Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: 22dimensions <waitingwind@foxmail.com> Co-authored-by: shen-shanshan <467638484@qq.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Signed-off-by: leo-pony <nengjunma@outlook.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com>

Bump vLLM version to v0.11.2 What's broken and changed by vLLM: 1. structured_output is broken by vllm-project/vllm#26866 2. get_mrope_input_positions is broken by vllm-project/vllm#28399 3. graph mode is broken by vllm-project/vllm#25110 we'll upgrade torch to 2.8 to fix the problem later 4. embedding is broken by vllm-project/vllm#27583 5. `get_attn_backend_cls` and attention backend is broken are broken by vllm-project/vllm#28534 6. spec decode is broken by vllm-project/vllm#28771 7. sp feature is broken by vllm-project/vllm#27126 8. mtp is broken by vllm-project/vllm#27922 9. lora is broken by vllm-project/vllm#21068 10. execute_model is broken by vllm-project/vllm#26866 11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by vllm-project/vllm#28159 12. kv cahe is broken by vllm-project/vllm#27753 13. dp is broken by vllm-project/vllm#25110 What's broken and changed by ourself: 1. qwen vl is broken by vllm-project/vllm#28455 We'll remove model files in the future to avoid this kind of error 2. Engine core is broken by vllm-project/vllm#23691 We'll remove the patch file in the future. 3. Ascend scheduler is broken by vllm-project/vllm#28733 We'll remove ascend scheudler later. 4. qwen3-next is broken by vllm-project/vllm#28083 We'll remove model files in the future to avoid this kind of error 5. qwen vl is broken by vllm-project/vllm#27764. We'll remove model files in the future Known issue: 1. ray doesn't work 2. the accuracy of qwen3-next is not correct 3. qwen3-vl is broken 4. prefix cache+ ascend scheduler + deepseek v2 lite is broken. Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: 22dimensions <waitingwind@foxmail.com> Co-authored-by: shen-shanshan <467638484@qq.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Signed-off-by: leo-pony <nengjunma@outlook.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Signed-off-by: Kurumi5210 <Jaychou1620@Gmail.com>

…ct#28083) Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

Bump vLLM version to v0.11.2 What's broken and changed by vLLM: 1. structured_output is broken by vllm-project/vllm#26866 2. get_mrope_input_positions is broken by vllm-project/vllm#28399 3. graph mode is broken by vllm-project/vllm#25110 we'll upgrade torch to 2.8 to fix the problem later 4. embedding is broken by vllm-project/vllm#27583 5. `get_attn_backend_cls` and attention backend is broken are broken by vllm-project/vllm#28534 6. spec decode is broken by vllm-project/vllm#28771 7. sp feature is broken by vllm-project/vllm#27126 8. mtp is broken by vllm-project/vllm#27922 9. lora is broken by vllm-project/vllm#21068 10. execute_model is broken by vllm-project/vllm#26866 11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by vllm-project/vllm#28159 12. kv cahe is broken by vllm-project/vllm#27753 13. dp is broken by vllm-project/vllm#25110 What's broken and changed by ourself: 1. qwen vl is broken by vllm-project/vllm#28455 We'll remove model files in the future to avoid this kind of error 2. Engine core is broken by vllm-project/vllm#23691 We'll remove the patch file in the future. 3. Ascend scheduler is broken by vllm-project/vllm#28733 We'll remove ascend scheudler later. 4. qwen3-next is broken by vllm-project/vllm#28083 We'll remove model files in the future to avoid this kind of error 5. qwen vl is broken by vllm-project/vllm#27764. We'll remove model files in the future Known issue: 1. ray doesn't work 2. the accuracy of qwen3-next is not correct 3. qwen3-vl is broken 4. prefix cache+ ascend scheduler + deepseek v2 lite is broken. Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: 22dimensions <waitingwind@foxmail.com> Co-authored-by: shen-shanshan <467638484@qq.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Signed-off-by: leo-pony <nengjunma@outlook.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com>

Bump vLLM version to v0.11.2 What's broken and changed by vLLM: 1. structured_output is broken by vllm-project/vllm#26866 2. get_mrope_input_positions is broken by vllm-project/vllm#28399 3. graph mode is broken by vllm-project/vllm#25110 we'll upgrade torch to 2.8 to fix the problem later 4. embedding is broken by vllm-project/vllm#27583 5. `get_attn_backend_cls` and attention backend is broken are broken by vllm-project/vllm#28534 6. spec decode is broken by vllm-project/vllm#28771 7. sp feature is broken by vllm-project/vllm#27126 8. mtp is broken by vllm-project/vllm#27922 9. lora is broken by vllm-project/vllm#21068 10. execute_model is broken by vllm-project/vllm#26866 11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by vllm-project/vllm#28159 12. kv cahe is broken by vllm-project/vllm#27753 13. dp is broken by vllm-project/vllm#25110 What's broken and changed by ourself: 1. qwen vl is broken by vllm-project/vllm#28455 We'll remove model files in the future to avoid this kind of error 2. Engine core is broken by vllm-project/vllm#23691 We'll remove the patch file in the future. 3. Ascend scheduler is broken by vllm-project/vllm#28733 We'll remove ascend scheudler later. 4. qwen3-next is broken by vllm-project/vllm#28083 We'll remove model files in the future to avoid this kind of error 5. qwen vl is broken by vllm-project/vllm#27764. We'll remove model files in the future Known issue: 1. ray doesn't work 2. the accuracy of qwen3-next is not correct 3. qwen3-vl is broken 4. prefix cache+ ascend scheduler + deepseek v2 lite is broken. Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: 22dimensions <waitingwind@foxmail.com> Co-authored-by: shen-shanshan <467638484@qq.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Signed-off-by: leo-pony <nengjunma@outlook.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Signed-off-by: tanqingshan (A) <50050625@china.huawei.com>

Bump vLLM version to v0.11.2 What's broken and changed by vLLM: 1. structured_output is broken by vllm-project/vllm#26866 2. get_mrope_input_positions is broken by vllm-project/vllm#28399 3. graph mode is broken by vllm-project/vllm#25110 we'll upgrade torch to 2.8 to fix the problem later 4. embedding is broken by vllm-project/vllm#27583 5. `get_attn_backend_cls` and attention backend is broken are broken by vllm-project/vllm#28534 6. spec decode is broken by vllm-project/vllm#28771 7. sp feature is broken by vllm-project/vllm#27126 8. mtp is broken by vllm-project/vllm#27922 9. lora is broken by vllm-project/vllm#21068 10. execute_model is broken by vllm-project/vllm#26866 11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by vllm-project/vllm#28159 12. kv cahe is broken by vllm-project/vllm#27753 13. dp is broken by vllm-project/vllm#25110 What's broken and changed by ourself: 1. qwen vl is broken by vllm-project/vllm#28455 We'll remove model files in the future to avoid this kind of error 2. Engine core is broken by vllm-project/vllm#23691 We'll remove the patch file in the future. 3. Ascend scheduler is broken by vllm-project/vllm#28733 We'll remove ascend scheudler later. 4. qwen3-next is broken by vllm-project/vllm#28083 We'll remove model files in the future to avoid this kind of error 5. qwen vl is broken by vllm-project/vllm#27764. We'll remove model files in the future Known issue: 1. ray doesn't work 2. the accuracy of qwen3-next is not correct 3. qwen3-vl is broken 4. prefix cache+ ascend scheduler + deepseek v2 lite is broken. Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com> Co-authored-by: 22dimensions <waitingwind@foxmail.com> Co-authored-by: shen-shanshan <467638484@qq.com> - vLLM version: v0.11.2 --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: MengqingCao <cmq0113@163.com> Signed-off-by: hfadzxy <starmoon_zhang@163.com> Signed-off-by: leo-pony <nengjunma@outlook.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: hfadzxy <starmoon_zhang@163.com> Co-authored-by: leo-pony <nengjunma@outlook.com>

vadiklyutiy requested review from ProExpertProg, WoosukKwon, hmellor, houseroad, mgoin, robertgshaw2-redhat, sighingnow, simon-mo, tlrmchlsmth, yewentao256 and youkaichao as code owners November 5, 2025 00:50

mergify bot added the qwen Related to Qwen models label Nov 5, 2025

vadiklyutiy force-pushed the vadim/refac-gdn2 branch from 81c3976 to 44c4c5d Compare November 5, 2025 00:52

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vadiklyutiy marked this pull request as draft November 5, 2025 01:52

vadiklyutiy marked this pull request as ready for review November 5, 2025 15:14

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vadiklyutiy added 2 commits November 5, 2025 22:44

Decouple projections from GDN custom op

9a3883c

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

Workaround for weird (CI) fails

e7a9260

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

vadiklyutiy force-pushed the vadim/refac-gdn2 branch from 2cec871 to e7a9260 Compare November 5, 2025 18:44

vadiklyutiy added the ready-for-merge label Nov 5, 2025

simon-mo merged commit b6a248b into vllm-project:main Nov 6, 2025
59 checks passed

Kay-Tian mentioned this pull request Nov 6, 2025

vLLM PR #28083 变更核心文件提醒 Kay-Tian/vllm#94

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vadiklyutiy deleted the vadim/refac-gdn2 branch November 7, 2025 11:38

ZhengHongming888 pushed a commit to ZhengHongming888/vllm that referenced this pull request Nov 8, 2025

[PERF] Decouple projections from GDN custom op. Attempt 2 (vllm-proje…

d784da2

…ct#28083) Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

wangxiyuan mentioned this pull request Nov 25, 2025

upgrade to vllm 0.11.2 vllm-project/vllm-ascend#4400

Merged

devpatelio pushed a commit to SumanthRH/vllm that referenced this pull request Nov 29, 2025

[PERF] Decouple projections from GDN custom op. Attempt 2 (vllm-proje…

3a0fe81

…ct#28083) Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

vadiklyutiy mentioned this pull request Dec 17, 2025

[Perf][Qwen3-next]: torch.compile GDN attn #27152

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[PERF] Decouple projections from GDN custom op. Attempt 2#28083

[PERF] Decouple projections from GDN custom op. Attempt 2#28083
simon-mo merged 2 commits intovllm-project:mainfrom
CentML:vadim/refac-gdn2

vadiklyutiy commented Nov 5, 2025 •

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Functional Test Result

Perf Test Result

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