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minor-fix #2813

Merged
merged 1 commit into from
Nov 25, 2024
Merged

minor-fix #2813

merged 1 commit into from
Nov 25, 2024

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lvhan028
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If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

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  1. Pre-commit or other linting tools are used to fix the potential lint issues.
  2. The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness.
  3. If the modification has a dependency on downstream projects of a newer version, this PR should be tested with all supported versions of downstream projects.
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@lvhan028 lvhan028 merged commit 4e6760e into InternLM:refactor-vl Nov 25, 2024
3 of 5 checks passed
lvhan028 added a commit that referenced this pull request Dec 13, 2024
@lvhan028 @akai-shuuichi
@jinminxi104 @zhulinJulia24 @Reinerzhou @AllentDan @JackWeiw @grimoire
Refactor VLM modules (#2810)
96e82eb 
* refactor VL modules for internvl and qwen2-vl (#2764)

* qwen2-vl

* internvl

* qwen2

* Refactor VL modules for glm4v, deepseek-vl, llava-hf, cogvlm (#2772)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* Refactor VL modules for qwen-vl, llava and llava_next (#2773)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* Refactor VL modules for qwen2-vl (#2777)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* Fix side-effect to internvl (#2778)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* Refactor VL modules for phi3-vision (#2779)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* phi3-vision

* Refactor VL modules for mllama and yi-vl (#2781)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* phi3-vision

* refactor yi-vl

* refactor mllama

* Refactor VLM module for minicpm and molmo (#2794)

* Refactor VLM modules for xcomposer series (#2796)

* Refactor VLM modules for internvl-llava (#2797)

* Refactor VLM modules v2 (#2806)

* internvl2 v2

* cogvlm

* deepseek-vl

* glm-4v

* llava-hf

* llava-next

* llava

* internvl-llava

* mllama

* phi3-vision

* qwen

* qwen2

* yi-vl

* xcomposer

* minicpm

* molmo

* update

* update

* Remove vl template (#2809)

* Resolve conflicts (#2811)

* feature: support qwen2.5 fuction_call (#2737)

* feat: support qwen2.5 tools_call

* fix: npe bug

* fix: 模版不一致

* fix: adopting review suggestions

* fix: adopting review suggestions

* fix: adopting review suggestions

* fix: adopting review suggestions

* feat: Support multi tools calling

* feat: Support multi tools calling

* fix: Add '\n' between each tool

* fix: Add ensure_ascii=False

* bugfix: rfind

* bugfix: tools_call -> tool_calls

* bugfix: add toolName in tool_response

* fix: some '\n' error

* fix: remove toolname

* fix: replace '\n' to self.separator

* feat: add doc with multiple tool calling

* fix：update doc

* feat: add qwen2.5 prompt template test

* feat: add qwen2.5 no tool call prompt test

---------

Co-authored-by: gaozixiang <gaozixiang1@xiaomi.com>

* Update supported models & Ascend doc (#2765)

* update ascend supported model list

* fix markdown

* fix markdown

* fix lint

* Update get_started.md

* Update get_started.md

* [CI] Split vl testcases into turbomind and pytorch backend (#2751)

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* [Feature] support minicpm-v_2_6 for pytorch engine. (#2767)

* support minicpmv_2_6.

* update supported_models.

* update supported_models.

* Support qwen2-vl AWQ quantization (#2787)

* Support qwen2-vl AWQ quantization

* Update config.yaml

---------

Co-authored-by: zhulinJulia24 <145004780+zhulinJulia24@users.noreply.github.com>

* [dlinfer] Fix qwenvl rope error for dlinfer backend (#2795)

* Optimize update_step_ctx on Ascend (#2804)

* opt update_ctx for ascend

* fix lint

---------

Co-authored-by: 逝夜长歌 <928926035@qq.com>
Co-authored-by: gaozixiang <gaozixiang1@xiaomi.com>
Co-authored-by: jinminxi104 <jinminxi104@hotmail.com>
Co-authored-by: zhulinJulia24 <145004780+zhulinJulia24@users.noreply.github.com>
Co-authored-by: zhoushenglong <87467364+Reinerzhou@users.noreply.github.com>
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
Co-authored-by: Wei Tao <1136862851@qq.com>

* PytorchEngine refactor multimodal (#2742)

* WIP

* support mrope

* support long context

* support causal=false

* fix mask

* flash attn bound

* optimize

* Moskau, Moskau, wirf die Gläser an die Wand

* YMCA

* optimize mllama

* update processor

* support cogvlm

* all work and no play make jack a dull boy

* upgrade triton

* support qwen2vl

* support internvl

* phi3-v WIP

* glm4v WIP

* support chatglm and cogvlm

* use image tokens

* support llava

* support internvl-mono

* phi3v, mllama

* add llavanext

* use img token ids

* support multiimage chatglm cogvlm

* fix ut

* minor-fix

* minor-fix (#2813)

* fix

* fix mono

* fix docs

* read norm_type

* super().collect_images->self.collect_images

* add note in supported models

* define the parameters clearly

* better streaming

* fix molmo

* Fix vision model batch inference (#2868)

* remove forward from vl models that are not supported by tm

* support max_batch_size

* fix

* warn glm4v does not support multi images

* unconst

* fix deepseek-vl

* fix internvl

* fix llava

* fix minicpm 2.6

* fix callback

* fix minicpm v2.5

* fix minicpm v2.6

* update llava_next.py

* remove hardcode from xcomposer2.py

* rollback supported_models

* change to staticmethod

* fix vlm quantization

* update doc

* update

---------
Co-authored-by: q yao <streetyao@live.com>
lvhan028 pushed a commit that referenced this pull request Dec 17, 2024
@grimoire
Optimize tp broadcast (#2889)
8afb84c 
* refactor VL modules for internvl and qwen2-vl (#2764)

* qwen2-vl

* internvl

* qwen2

* Refactor VL modules for glm4v, deepseek-vl, llava-hf, cogvlm (#2772)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* Refactor VL modules for qwen-vl, llava and llava_next (#2773)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* Refactor VL modules for qwen2-vl (#2777)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* Fix side-effect to internvl (#2778)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* Refactor VL modules for phi3-vision (#2779)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* phi3-vision

* Refactor VL modules for mllama and yi-vl (#2781)

* qwen2-vl

* internvl

* qwen2

* get image_tokens_per_patch for internvl2

* deepseek-vl

* cogvlm

* glm4v

* update internvl

* internvl_llava

* llava

* glm4v

* upate internvl

* cogvlm

* deepseek

* llava_hf

* rollback llava, internvl-llava

* refactor qwen

* update internvl

* update llava_hf

* update qwen2-vl

* llava_next

* update llava_next

* update llava

* update llava

* update llava

* qwen2

* fix internvl

* phi3-vision

* refactor yi-vl

* refactor mllama

* Refactor VLM module for minicpm and molmo (#2794)

* Refactor VLM modules for xcomposer series (#2796)

* Refactor VLM modules for internvl-llava (#2797)

* Refactor VLM modules v2 (#2806)

* internvl2 v2

* cogvlm

* deepseek-vl

* glm-4v

* llava-hf

* llava-next

* llava

* internvl-llava

* mllama

* phi3-vision

* qwen

* qwen2

* yi-vl

* xcomposer

* minicpm

* molmo

* update

* update

* Remove vl template (#2809)

* Resolve conflicts (#2811)

* feature: support qwen2.5 fuction_call (#2737)

* feat: support qwen2.5 tools_call

* fix: npe bug

* fix: 模版不一致

* fix: adopting review suggestions

* fix: adopting review suggestions

* fix: adopting review suggestions

* fix: adopting review suggestions

* feat: Support multi tools calling

* feat: Support multi tools calling

* fix: Add '\n' between each tool

* fix: Add ensure_ascii=False

* bugfix: rfind

* bugfix: tools_call -> tool_calls

* bugfix: add toolName in tool_response

* fix: some '\n' error

* fix: remove toolname

* fix: replace '\n' to self.separator

* feat: add doc with multiple tool calling

* fix：update doc

* feat: add qwen2.5 prompt template test

* feat: add qwen2.5 no tool call prompt test

---------

Co-authored-by: gaozixiang <gaozixiang1@xiaomi.com>

* Update supported models & Ascend doc (#2765)

* update ascend supported model list

* fix markdown

* fix markdown

* fix lint

* Update get_started.md

* Update get_started.md

* [CI] Split vl testcases into turbomind and pytorch backend (#2751)

* updaet

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* [Feature] support minicpm-v_2_6 for pytorch engine. (#2767)

* support minicpmv_2_6.

* update supported_models.

* update supported_models.

* Support qwen2-vl AWQ quantization (#2787)

* Support qwen2-vl AWQ quantization

* Update config.yaml


* [dlinfer] Fix qwenvl rope error for dlinfer backend (#2795)

* Optimize update_step_ctx on Ascend (#2804)

* opt update_ctx for ascend

* fix lint


* PytorchEngine refactor multimodal (#2742)

* WIP

* support mrope

* support long context

* support causal=false

* fix mask

* flash attn bound

* optimize

* Moskau, Moskau, wirf die Gläser an die Wand

* YMCA

* optimize mllama

* update processor

* support cogvlm

* all work and no play make jack a dull boy

* upgrade triton

* support qwen2vl

* support internvl

* phi3-v WIP

* glm4v WIP

* support chatglm and cogvlm

* use image tokens

* support llava

* support internvl-mono

* phi3v, mllama

* add llavanext

* use img token ids

* support multiimage chatglm cogvlm

* fix ut

* minor-fix

* minor-fix (#2813)

* fix

* fix mono

* fix docs

* read norm_type

* super().collect_images->self.collect_images

* add note in supported models

* define the parameters clearly

* better streaming

* fix molmo

* Fix vision model batch inference (#2868)

* remove forward from vl models that are not supported by tm

* support max_batch_size

* fix

* warn glm4v does not support multi images

* unconst

* fix deepseek-vl

* fix internvl

* fix llava

* fix minicpm 2.6

* fix callback

* fix minicpm v2.5

* fix minicpm v2.6

* update llava_next.py

* remove hardcode from xcomposer2.py

* rollback supported_models

* change to staticmethod

* optimize tp

* fix vlm quantization

* update doc

* update
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@lvhan028