xc-llm-ascend/mypy.ini

[mypy]
; warn_return_any = True
warn_unused_configs = True

; Suppress all missing import errors from torch_npu for mypy.
[mypy-torch_npu.*]
ignore_missing_imports = True

[mypy-torchair.*]
ignore_missing_imports = True

[mypy-transformers.*]
ignore_missing_imports = True

[mypy-lm_eval.*]
ignore_missing_imports = True
[Core] Init vllm-ascend (#3) ### What this PR does / why we need it? vLLM Ascend plugin (vllm-ascend) is a backend plugin for running vLLM on the Ascend NPU. This plugin is the recommended approach for supporting the Ascend backend within the vLLM community. It adheres to the principles outlined in the [RFC]: Hardware pluggable, providing a hardware-pluggable interface that decouples the integration of the Ascend NPU with vLLM. This patch also include changes to make CI work and use cache speed up e2e test, including: 1. Change push (post merge ci) and pull_request (pr ci) trigger branch to main 2. Make mypy work by ignore base_communicator and clear unused deps 3. Several improvements for vllm_ascend_test: - use cache (pip, ms, hf) speed up e2e test (25mins --> 5mins) - switch `git clone` command to `action/checkout` to speedup checkout and - Enable sv for pytest for better info dump - Remove network host to resole `docker: conflicting ontions: cannot attach both user-defined and non-user-definednetwork-modes`, which is a problem on docker 1.45 but not on 1.39. 4. Adapt MLA decode optimizations: https://github.com/vllm-project/vllm/commit/cabaf4eff3c7df30d785769d5a0a1fa1a1c48a8a ### Does this PR introduce _any_ user-facing change? Yes, init the PR. ### How was this patch tested? - This is the first PR to make ascend NPU work on vLLM. All code is tested on ascend with vLLM V0 Engine. - CI passed --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: wangshuai09 <391746016@qq.com> Co-authored-by: Shanshan Shen <467638484@qq.com> Co-authored-by: wangli <wangli858794774@gmail.com> 2025-02-05 10:53:12 +08:00			`[mypy]`
			`; warn_return_any = True`
			`warn_unused_configs = True`

			`; Suppress all missing import errors from torch_npu for mypy.`
			`[mypy-torch_npu.*]`
			`ignore_missing_imports = True`

Support multistream of shared experts in FusedMoE (#997) Contains on #1111 for completeness. <!-- Thanks for sending a pull request! BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing/overview.html --> ### What this PR does / why we need it? Implement multi-stream parallelism for MoE layers with shared experts, where computation of shared experts will be overlapped with expert token dispatch and combine. Also, when multi-stream is enabled, weights of shared experts will be force to replicate across all cards, regardless of any tensor parallelism configurations, to avoid AllReduce operations. With the expected overlaping being: ``` \| shared gate_up \| shared act \| \| shared down \| \| dispatch \| routed gate_up, act, down \| combine \| ``` <!-- - Please clarify what changes you are proposing. The purpose of this section is to outline the changes and how this PR fixes the issue. If possible, please consider writing useful notes for better and faster reviews in your PR. - Please clarify why the changes are needed. For instance, the use case and bug description. - Fixes # --> ### Does this PR introduce _any_ user-facing change? No. <!-- Note that it means any user-facing change including all aspects such as API, interface or other behavior changes. Documentation-only updates are not considered user-facing changes. --> ### How was this patch tested? Tested on 1x16 910 node, with tailored 2 layer DSKv2. <!-- CI passed with new added/existing test. If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future. If tests were not added, please describe why they were not added and/or why it was difficult to add. --> --------- Signed-off-by: sdmyzlp <lrwei2@petalmail.com> 2025-06-11 09:18:38 +08:00			`[mypy-torchair.*]`
			`ignore_missing_imports = True`

[Core] Init vllm-ascend (#3) ### What this PR does / why we need it? vLLM Ascend plugin (vllm-ascend) is a backend plugin for running vLLM on the Ascend NPU. This plugin is the recommended approach for supporting the Ascend backend within the vLLM community. It adheres to the principles outlined in the [RFC]: Hardware pluggable, providing a hardware-pluggable interface that decouples the integration of the Ascend NPU with vLLM. This patch also include changes to make CI work and use cache speed up e2e test, including: 1. Change push (post merge ci) and pull_request (pr ci) trigger branch to main 2. Make mypy work by ignore base_communicator and clear unused deps 3. Several improvements for vllm_ascend_test: - use cache (pip, ms, hf) speed up e2e test (25mins --> 5mins) - switch `git clone` command to `action/checkout` to speedup checkout and - Enable sv for pytest for better info dump - Remove network host to resole `docker: conflicting ontions: cannot attach both user-defined and non-user-definednetwork-modes`, which is a problem on docker 1.45 but not on 1.39. 4. Adapt MLA decode optimizations: https://github.com/vllm-project/vllm/commit/cabaf4eff3c7df30d785769d5a0a1fa1a1c48a8a ### Does this PR introduce _any_ user-facing change? Yes, init the PR. ### How was this patch tested? - This is the first PR to make ascend NPU work on vLLM. All code is tested on ascend with vLLM V0 Engine. - CI passed --------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: Yikun Jiang <yikunkero@gmail.com> Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com> Co-authored-by: MengqingCao <cmq0113@163.com> Co-authored-by: wangshuai09 <391746016@qq.com> Co-authored-by: Shanshan Shen <467638484@qq.com> Co-authored-by: wangli <wangli858794774@gmail.com> 2025-02-05 10:53:12 +08:00			`[mypy-transformers.*]`
			`ignore_missing_imports = True`

[CI]Add model basic accuracy test(Qwen2.5-0.5B-Instruct) (#460) ### What this PR does / why we need it? Add model basic accuracy test(Qwen2.5-0.5B-Instruct) Signed-off-by: hfadzxy <starmoon_zhang@163.com> 2025-04-17 14:59:56 +08:00			`[mypy-lm_eval.*]`
			`ignore_missing_imports = True`