From cb88e34304e2a9fb451883374574b2657cc32899 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Thu, 1 Jun 2023 20:11:15 +0800 Subject: [PATCH 01/16] altclip export onnx --- .github/workflows/onnx.yml | 57 ++++++++++++++++ README_zh.md | 63 +++++++++--------- onnx/.envrc | 8 +++ onnx/.gitignore | 9 +++ onnx/.tool-versions | 1 + onnx/Dockerfile | 38 +++++++++++ onnx/README.md | 93 +++++++++++++++++++++++++++ onnx/bash.sh | 30 +++++++++ onnx/build.sh | 15 +++++ onnx/dist.sh | 18 ++++++ onnx/export.sh | 13 ++++ onnx/export/down.py | 10 +++ onnx/export/onnx.sh | 9 +++ onnx/export/onnx_export.py | 60 +++++++++++++++++ onnx/export/onnx_export_processor.py | 9 +++ onnx/export/tar.bz2.py | 18 ++++++ onnx/github.action.md | 16 +++++ onnx/img/build.jpg | Bin 0 -> 164874 bytes onnx/img/cat.jpg | Bin 0 -> 7195 bytes onnx/img/dog.jpg | Bin 0 -> 52669 bytes onnx/img/man.jpg | Bin 0 -> 68157 bytes onnx/img/rat.jpg | Bin 0 -> 4419 bytes onnx/img/woman.jpg | Bin 0 -> 262254 bytes onnx/misc/__init__.py | 0 onnx/misc/clip_model.py | 41 ++++++++++++ onnx/misc/config.py | 20 ++++++ onnx/misc/device.py | 15 +++++ onnx/misc/proc.py | 33 ++++++++++ onnx/onnx/.keep | 0 onnx/os/root/.config/pip/pip.conf | 3 + onnx/test/clip/clip_img.py | 20 ++++++ onnx/test/clip/clip_test.py | 53 +++++++++++++++ onnx/test/clip/clip_txt.py | 23 +++++++ onnx/test/clip/test_txt.py | 1 + onnx/test/onnx/onnx_img.py | 19 ++++++ onnx/test/onnx/onnx_load.py | 23 +++++++ onnx/test/onnx/onnx_test.py | 56 ++++++++++++++++ onnx/test/onnx/onnx_txt.py | 24 +++++++ onnx/test/onnx/requirements.txt | 1 + onnx/test/onnx/setup.sh | 25 +++++++ onnx/test/onnx/test_txt.py | 6 ++ onnx/version.txt | 1 + setup.py | 32 ++++----- 43 files changed, 817 insertions(+), 46 deletions(-) create mode 100644 .github/workflows/onnx.yml create mode 100644 onnx/.envrc create mode 100644 onnx/.gitignore create mode 100644 onnx/.tool-versions create mode 100755 onnx/Dockerfile create mode 100644 onnx/README.md create mode 100755 onnx/bash.sh create mode 100755 onnx/build.sh create mode 100755 onnx/dist.sh create mode 100755 onnx/export.sh create mode 100755 onnx/export/down.py create mode 100755 onnx/export/onnx.sh create mode 100755 onnx/export/onnx_export.py create mode 100755 onnx/export/onnx_export_processor.py create mode 100755 onnx/export/tar.bz2.py create mode 100644 onnx/github.action.md create mode 100644 onnx/img/build.jpg create mode 100644 onnx/img/cat.jpg create mode 100644 onnx/img/dog.jpg create mode 100644 onnx/img/man.jpg create mode 100644 onnx/img/rat.jpg create mode 100644 onnx/img/woman.jpg create mode 100644 onnx/misc/__init__.py create mode 100755 onnx/misc/clip_model.py create mode 100644 onnx/misc/config.py create mode 100644 onnx/misc/device.py create mode 100755 onnx/misc/proc.py create mode 100644 onnx/onnx/.keep create mode 100644 onnx/os/root/.config/pip/pip.conf create mode 100755 onnx/test/clip/clip_img.py create mode 100755 onnx/test/clip/clip_test.py create mode 100755 onnx/test/clip/clip_txt.py create mode 120000 onnx/test/clip/test_txt.py create mode 100755 onnx/test/onnx/onnx_img.py create mode 100644 onnx/test/onnx/onnx_load.py create mode 100755 onnx/test/onnx/onnx_test.py create mode 100755 onnx/test/onnx/onnx_txt.py create mode 100644 onnx/test/onnx/requirements.txt create mode 100755 onnx/test/onnx/setup.sh create mode 100644 onnx/test/onnx/test_txt.py create mode 100644 onnx/version.txt diff --git a/.github/workflows/onnx.yml b/.github/workflows/onnx.yml new file mode 100644 index 00000000..acb5bec2 --- /dev/null +++ b/.github/workflows/onnx.yml @@ -0,0 +1,57 @@ +name: 'onnx docker' + +on: + workflow_dispatch: + push: + branches: ['master'] + paths: + - 'onnx/Dockerfile' + - 'onnx/export/**' + - 'onnx/misc/**' + - 'onnx/version.txt' + - '.github/workflow/onnx.yml' + pull_request: + branches: ['master'] + paths: + - 'onnx/Dockerfile' + - 'onnx/export/**' + - 'onnx/misc/**' + - 'onnx/version.txt' + - '.github/workflow/onnx.yml' + +jobs: + docker: + runs-on: ubuntu-latest + steps: + - + name: Checkout + uses: actions/checkout@v3 + - + name: Set Env + run: | + VERSION=$(cat onnx/version.txt) + echo "VERSION=$VERSION" >> $GITHUB_ENV + - + name: Set up QEMU + uses: docker/setup-qemu-action@v2 + - + name: Set up Docker Buildx + uses: docker/setup-buildx-action@v2 + - + name: Login to Docker Hub + uses: docker/login-action@v2 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} + - + name: Build and push + uses: docker/build-push-action@v4 + with: + context: ./onnx/ + platforms: linux/amd64,linux/arm64 + push: true + tags: ${{secrets.DOCKER_ORG}}/altclip-onnx:latest, ${{secrets.DOCKER_ORG}}/altclip-onnx:${{env.VERSION}} + cache-from: type=gha + cache-to: type=gha,mode=max + build-args: | + GIT=https://github.com/${{github.repository}}.git diff --git a/README_zh.md b/README_zh.md index 96439785..d09cc41c 100644 --- a/README_zh.md +++ b/README_zh.md @@ -17,19 +17,19 @@ 1. **可通过 API 快速下载模型** - + 提供 API 方便你快速下载模型,并在给定(中/英文)文本上使用这些预训练模型,在从[SuperGLUE](https://super.gluebenchmark.com/)和[CLUE](https://github.com/CLUEbenchmark/CLUE) benchmarks收集的广泛使用的数据集上对它们进行微调。 - + FlagAI 现已支持 30+ 主流模型,包括多模态模型 [**AltCLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP) 、文生图模型 [**AltDiffusion**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltDiffusion) [![Huggingface space](https://img.shields.io/badge/🤗-Huggingface%20Space-cyan.svg)](https://huggingface.co/spaces/BAAI/bilingual_stable_diffusion)、最高百亿参数的 **[悟道GLM](/doc_zh/GLM.md)**,[**EVA-CLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/EVA_CLIP)、**[Galactica](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/galactica)**、**OPT**、**BERT**、**RoBERTa**、**GPT2**、**T5**、**ALM**、**Huggingface Transformers** 等。 - + 2. **仅用十行代码即可进行并行训练** 飞智由四个最流行的数据/模型并行库([PyTorch](https://pytorch.org/)/[Deepspeed](https://www.deepspeed.ai/)/[Megatron-LM](https://github.com/NVIDIA/Megatron-LM)/[BMTrain](https://github.com/OpenBMB/BMTrain))提供支持,它们之间实现了无缝集成。 你可以用不到十行代码来并行你的训练/测试过程。 - + 3. **提供提示学习工具包** FlagAI 提供了提示学习([prompt-learning](https://github.com/FlagAI-Open/FlagAI/blob/master/docs/TUTORIAL_7_PROMPT_LEARNING.md))的工具包,用于少样本学习(few-shot learning)任务。 - + 4. **尤其擅长中文任务** FlagAI 目前支持的模型可以应用于文本分类、信息提取、问答、摘要、文本生成等任务,尤其擅长中文任务。 @@ -51,40 +51,40 @@ ### 模型 -| 模型名称 | 任务 | 训练 | 微调 | 推理 | 样例 | +| 模型名称 | 任务 | 训练 | 微调 | 推理 | 样例 | | :---------------- | :------- | :-- |:-- | :-- | :--------------------------------------------- | -| ALM | 阿拉伯语文本生成 | ✅ | ❌ | ✅ | [README.md](/examples/ALM/README.md) | -| AltCLIP | 文图匹配 | ✅ | ✅ | ✅ | [README.md](/examples/AltCLIP/README.md) | -| AltCLIP-m18 | 文图匹配 | ✅ | ✅ | ✅ | [README.md](examples/AltCLIP-m18/README.md) | +| ALM | 阿拉伯语文本生成 | ✅ | ❌ | ✅ | [README.md](/examples/ALM/README.md) | +| AltCLIP | 文图匹配 | ✅ | ✅ | ✅ | [README.md](/examples/AltCLIP/README.md) | +| AltCLIP-m18 | 文图匹配 | ✅ | ✅ | ✅ | [README.md](examples/AltCLIP-m18/README.md) | | AltDiffusion | 文生图 | ❌ | ❌ | ✅ | [README.md](/examples/AltDiffusion/README.md) | | AltDiffusion-m18 | 文生图,支持 18 种语言 | ❌ | ❌ | ✅ | [README.md](/examples/AltDiffusion-m18/README.md) | | BERT-title-generation-english | 英文标题生成 | ✅ | ❌ | ✅ | [README.md](/examples/bert_title_generation_english/README.md) | -| CLIP | 图文匹配 | ✅ | ❌ | ✅ | —— | -| CPM3-finetune | 文本续写 | ❌ | ✅ | ❌ | —— | -| CPM3-generate | 文本续写 | ❌ | ❌ | ✅ | —— | +| CLIP | 图文匹配 | ✅ | ❌ | ✅ | —— | +| CPM3-finetune | 文本续写 | ❌ | ✅ | ❌ | —— | +| CPM3-generate | 文本续写 | ❌ | ❌ | ✅ | —— | | CPM3_pretrain | 文本续写 | ✅ | ❌ | ❌ | —— | | CPM_1 | 文本续写 | ❌ | ❌ | ✅ | [README.md](/examples/cpm_1/README.md) | | EVA-CLIP | 图文匹配 | ✅ | ✅ | ✅ | [README.md](/examples/EVA_CLIP/README.md) | -| Galactica | 文本续写 | ❌ | ❌ | ✅ | —— | +| Galactica | 文本续写 | ❌ | ❌ | ✅ | —— | | GLM-large-ch-blank-filling | 完形填空问答 | ❌ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_11_GLM_BLANK_FILLING_QA.md) | | GLM-large-ch-poetry-generation | 诗歌生成 | ✅ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_13_GLM_EXAMPLE_PEOTRY_GENERATION.md) | | GLM-large-ch-title-generation | 标题生成 | ✅ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_12_GLM_EXAMPLE_TITLE_GENERATION.md) | -| GLM-pretrain | 预训练 | ✅ | ❌ | ❌ | —— | -| GLM-seq2seq | 生成任务 | ✅ | ❌ | ✅ | —— | -| GLM-superglue | 判别任务 | ✅ | ❌ | ❌ | —— | +| GLM-pretrain | 预训练 | ✅ | ❌ | ❌ | —— | +| GLM-seq2seq | 生成任务 | ✅ | ❌ | ✅ | —— | +| GLM-superglue | 判别任务 | ✅ | ❌ | ❌ | —— | | GPT-2-text-writting | 文本续写 | ❌ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_18_GPT2_WRITING.md) | -| GPT2-text-writting | 文本续写 | ❌ | ❌ | ✅ | —— | -| GPT2-title-generation | 标题生成 | ❌ | ❌ | ✅ | —— | -| OPT | 文本续写 | ❌ | ❌ | ✅ | [README.md](/examples/opt/README.md) | +| GPT2-text-writting | 文本续写 | ❌ | ❌ | ✅ | —— | +| GPT2-title-generation | 标题生成 | ❌ | ❌ | ✅ | —— | +| OPT | 文本续写 | ❌ | ❌ | ✅ | [README.md](/examples/opt/README.md) | | RoBERTa-base-ch-ner | 命名实体识别 | ✅ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_17_BERT_EXAMPLE_NER.md) | | RoBERTa-base-ch-semantic-matching | 语义相似度匹配 | ✅ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_16_BERT_EXAMPLE_SEMANTIC_MATCHING.md) | | RoBERTa-base-ch-title-generation | 标题生成 | ✅ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_15_BERT_EXAMPLE_TITLE_GENERATION.md) | -| RoBERTa-faq | 问答 | ❌ | ❌ | ✅ | [README.md](/examples/roberta_faq/README.md) | -| Swinv1 | 图片分类 | ✅ | ❌ | ✅ | —— | -| Swinv2 | 图片分类 | ✅ | ❌ | ✅ | —— | +| RoBERTa-faq | 问答 | ❌ | ❌ | ✅ | [README.md](/examples/roberta_faq/README.md) | +| Swinv1 | 图片分类 | ✅ | ❌ | ✅ | —— | +| Swinv2 | 图片分类 | ✅ | ❌ | ✅ | —— | | T5-huggingface-11b | 训练 | ✅ | ❌ | ❌ | [TUTORIAL](/doc_zh/TUTORIAL_14_HUGGINGFACE_T5.md) | | T5-title-generation | 标题生成 | ❌ | ❌ | ✅ | [TUTORIAL](/doc_zh/TUTORIAL_19_T5_EXAMPLE_TITLE_GENERATION.md) | -| T5-flagai-11b | 预训练 | ✅ | ❌ | ❌ | —— | +| T5-flagai-11b | 预训练 | ✅ | ❌ | ❌ | —— | | ViT-cifar100 | 预训练 | ✅ | ❌ | ❌ | —— | @@ -144,7 +144,7 @@ ds_report # 检查deepspeed的状态 ``` git clone https://github.com/OpenBMB/BMTrain cd BMTrain -python setup.py install +python setup.py install ``` - [可选] 镜像构建,请参照 [Dockerfile](https://github.com/FlagAI-Open/FlagAI/blob/master/Dockerfile) - [提示] 单节点docker环境下,运行多卡数据并行需要设置host。 例如,docker节点 root@127.0.0.1,其端口 7110。 @@ -167,7 +167,7 @@ Host 127.0.0.1 from flagai.auto_model.auto_loader import AutoLoader auto_loader = AutoLoader( task_name="title-generation", - model_name="RoBERTa-base-ch" + model_name="RoBERTa-base-ch" ) model = auto_loader.get_model() tokenizer = auto_loader.get_tokenizer() @@ -261,12 +261,15 @@ for text_pair in test_data: ``` +### 模型部署 + +* AltCLIP 部署见 [AltCLIP 的 ONNX 模型导出](./onnx/README.md) ## 动态 -- [31 Mar 2023] 支持v1.6.3版本, 增加AltCLIP-m18模型 [#303](https://github.com/FlagAI-Open/FlagAI/pull/303) 以及 AltDiffusion-m18模型 [#302](https://github.com/FlagAI-Open/FlagAI/pull/302); -- [17 Mar 2023] 支持v1.6.2版本, 可以使用新的优化器 [#266](https://github.com/FlagAI-Open/FlagAI/pull/266), 并增加了英文gpt模型GPT2-base-en; +- [31 Mar 2023] 支持v1.6.3版本, 增加AltCLIP-m18模型 [#303](https://github.com/FlagAI-Open/FlagAI/pull/303) 以及 AltDiffusion-m18模型 [#302](https://github.com/FlagAI-Open/FlagAI/pull/302); +- [17 Mar 2023] 支持v1.6.2版本, 可以使用新的优化器 [#266](https://github.com/FlagAI-Open/FlagAI/pull/266), 并增加了英文gpt模型GPT2-base-en; - [2 Mar 2023] 支持v1.6.1版本, 增加Galactica模型 [#234](https://github.com/FlagAI-Open/FlagAI/pull/234), 大模型推理的低资源工具包BMInf [#238](https://github.com/FlagAI-Open/FlagAI/pull/238), 以及P-tuning样例 [#227](https://github.com/FlagAI-Open/FlagAI/pull/238) -- [12 Jan 2023] 发布v1.6.0版本, 新增支持并行训练库 [**BMTrain**](https://github.com/OpenBMB/BMTrain) 以及集成 [**Flash Attention**](https://github.com/HazyResearch/flash-attention) 到 Bert 和 Vit 模型提速端到端训练, 示例见 [FlashAttentionBERT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/bert_title_generation_english/train_flash_atten.py)和 [FlashAttentionViT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/vit_cifar100/train_single_gpu_flash_atten.py). 同时增加了基于对比搜索的文本生成方法 [**SimCTG**](https://github.com/yxuansu/SimCTG) 以及基于 AltDiffusion 进行 DreamBooth 个性化微调, 示例见 [AltDiffusionNaruto](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/AltDiffusion/dreambooth.py). +- [12 Jan 2023] 发布v1.6.0版本, 新增支持并行训练库 [**BMTrain**](https://github.com/OpenBMB/BMTrain) 以及集成 [**Flash Attention**](https://github.com/HazyResearch/flash-attention) 到 Bert 和 Vit 模型提速端到端训练, 示例见 [FlashAttentionBERT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/bert_title_generation_english/train_flash_atten.py)和 [FlashAttentionViT](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/vit_cifar100/train_single_gpu_flash_atten.py). 同时增加了基于对比搜索的文本生成方法 [**SimCTG**](https://github.com/yxuansu/SimCTG) 以及基于 AltDiffusion 进行 DreamBooth 个性化微调, 示例见 [AltDiffusionNaruto](https://github.com/FlagAI-Open/FlagAI/blob/master/examples/AltDiffusion/dreambooth.py). - [28 Nov 2022] 发布v1.5.0版本, 支持1.1B参数的 [**EVA-CLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/EVA_CLIP) 以及[ALM: 基于GLM的阿拉伯语大模型], 示例见[**ALM**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/ALM) - [10 Nov 2022] 发布v1.4.0版本, 支持[AltCLIP: 更改CLIP中的语言编码器以扩展语言功能](https://arxiv.org/abs/2211.06679v1), 示例见[**AltCLIP**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltCLIP)以及[**AltDiffusion**](https://github.com/FlagAI-Open/FlagAI/tree/master/examples/AltDiffusion) - [29 Aug 2022] 支持v1.3.0版本, 增加CLIP模块以及重新设计了tokenizer的API: [#81](https://github.com/FlagAI-Open/FlagAI/pull/81) @@ -274,7 +277,7 @@ for text_pair in test_data: - [29 Jun 2022] 支持v1.1.0版本, 支持OPT的加载,微调和推理[#63](https://github.com/FlagAI-Open/FlagAI/pull/63) - [17 May 2022] 做出了我们的第一份贡献[#1](https://github.com/FlagAI-Open/FlagAI/pull/1) -## 许可 LICENSE +## 许可 LICENSE FlagAI飞智大部分项目基于 [Apache 2.0 license](LICENSE),但是请注意部分项目代码基于其他协议: @@ -299,4 +302,4 @@ FlagAI飞智大部分项目基于 [Apache 2.0 license](LICENSE),但是请注 ![Star History Chart](https://api.star-history.com/svg?repos=FlagAI-Open/FlagAI&type=Date)] - \ No newline at end of file + diff --git a/onnx/.envrc b/onnx/.envrc new file mode 100644 index 00000000..9a427020 --- /dev/null +++ b/onnx/.envrc @@ -0,0 +1,8 @@ +export PYTHONPATH=`pwd`:$PYTHONPATH + +if [ -f ".env" ]; then + set -o allexport + source .env + set +o allexport +fi + diff --git a/onnx/.gitignore b/onnx/.gitignore new file mode 100644 index 00000000..acbd3db9 --- /dev/null +++ b/onnx/.gitignore @@ -0,0 +1,9 @@ +.env +.DS_Store +__pycache__/ + +/onnx/* +!onnx/.keep + +dist/ +model/ diff --git a/onnx/.tool-versions b/onnx/.tool-versions new file mode 100644 index 00000000..28b9ff63 --- /dev/null +++ b/onnx/.tool-versions @@ -0,0 +1 @@ +python 3.10.11 diff --git a/onnx/Dockerfile b/onnx/Dockerfile new file mode 100755 index 00000000..1920076d --- /dev/null +++ b/onnx/Dockerfile @@ -0,0 +1,38 @@ +FROM ubuntu:23.10 + +WORKDIR app + +ADD ./version.txt version + +# sed -i s/ports.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ +# sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ +# sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ +# pip install -i https://mirrors.aliyun.com/pypi/simple/ \ + +RUN \ +apt-get update && \ +apt-get install -y git pkg-config bash \ +python3-full python3-pip python3-aiohttp &&\ +update-alternatives --install /usr/bin/python python /usr/bin/python3 1 &&\ +pip install --break-system-packages \ +setuptools==66.0.0 \ +urllib3==1.26.16 \ +scipy transformers huggingface_hub packaging \ +tqdm requests cython \ +torch onnx && apt-get clean -y + +ARG GIT +ENV GIT=$GIT + +RUN git clone --depth=1 $GIT + +ADD os/ / + +RUN cd FlagAI &&\ + rm setup.cfg &&\ + python setup.py install + +RUN pip uninstall -y google-auth + +ENV PYTHONPATH /app + diff --git a/onnx/README.md b/onnx/README.md new file mode 100644 index 00000000..7707cb01 --- /dev/null +++ b/onnx/README.md @@ -0,0 +1,93 @@ +# AltCLIP 的 ONNX 模型导出 + +## ONNX 是什么? + +ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种深度学习训练和推理框架转换的一个中间表示格式。 + +在实际业务中,可以使用 Pytorch 或者 TensorFlow 训练模型,导出成 ONNX 格式,然后用 ONNX Runtime 直接运行 ONNX。 + +使用 ONNX 可以减少模型的依赖,降低部署成本。 + +也可以进一步借助 ONNX 转换成目标设备上运行时支撑的模型格式,比如 [TensorRT Engine](https://developer.nvidia.com/tensorrt)、[NCNN](https://github.com/Tencent/ncnn)、[MNN](https://github.com/alibaba/MNN) 等格式, 优化性能。 + +## 下载 AltCLIP 的 ONNX + +可以从[xxai/AltCLIP](https://huggingface.co/xxai/AltCLIP/tree/main)下载打包好的 onnx,并解压到 `FlagAI/onnx/onnx/` 下。 + +如此就可以直接运行 onnx 的测试,而无需下载原始模型运行导出。 + +## 文件说明 + +因为 flagai 的依赖复杂,所以构建容器便于导出。 + +### 脚本 + +* `./build.sh` 在本地构建容器 + + 可设置环境变量 `ORG=xxai` 使用 [hub.docker.com 上的已构建的镜像](https://hub.docker.com/repository/docker/xxai/altclip-onnx)。 + + 比如,运行 `ORG=xxai ./bash.sh` 。 + +* `./bash.sh` 在本地进入容器的 bash,方便调试 + +* `./export.sh` 运行容器,导出 onnx + + 设置环境变量 MODEL ,可以配置导出、测试脚本运行的模型 。 + + 默认导出的模型是 AltCLIP-XLMR-L-m18 ,还支持以下模型: + + * AltCLIP-XLMR-L + * AltCLIP-XLMR-L-m9 + +* `./dist.sh` 运行容器,导出以上 3 个模型的 onnx,并打包放到 dist 目录下。 + +### 目录 + +* model/ 存放下载的模型 +* onnx/ 存放导出的 onnx,下载的 onnx 也请解压到这里 + +### 测试 + +#### onnx 模型的依赖安装 + +test/onnx 下面的依赖很简单,只有 transformers 和 onnxruntime,不依赖于 flagai。 + +onnxruntime 有很多版本可以选择,见[onnxruntime](https://onnxruntime.ai/)。 + +对于 python 而言,常见的运行时推荐如下: + +* 显卡 `pip install onnxruntime-gpu` +* ARM 架构的 MAC `pip install onnxruntime-silicon` (目前还不支持 python3.11) +* INTEL 的 CPU `pip install onnxruntime-openvino` +* 其他 CPU `pip install onnxruntime` + +运行 [./test/onnx/setup.sh](./test/onnx/setup.sh) 会自动判断环境,选择安装合适的 onnxruntime 版本和 transformers。 + +#### onnx 模型的测试脚本 + +请先安装 [direnv](https://github.com/direnv/direnv/blob/master/README.md) 并在本目录下 `direnv allow` 或者手工 `source .envrc` 来设置 PYTHONPATH 环境变量。 + +* [./test/onnx/onnx_img.py](./test/onnx/onnx_img.py) 生成图片向量 +* [./test/onnx/onnx_txt.py](./test/onnx/onnx_txt.py) 生成文本向量 +* [./test/onnx/onnx_test.py](./test/onnx/onnx_test.py) 匹配图片向量和文本向量,进行零样本分类 + +如果想把生成的文本向量和图片向量存入数据库,进行相似性搜索,请先对特征进行归一化。 + +```python +image_features /= image_features.norm(dim=-1, keepdim=True) +text_features /= text_features.norm(dim=-1, keepdim=True) +``` + +可借助向量数据库,提升零样本分类的准确性,参见[ECCV 2022 | 无需下游训练,Tip-Adapter 大幅提升 CLIP 图像分类准确率](https://cloud.tencent.com/developer/article/2126102)。 + +#### pytorch 模型 + +用于对比 onnx 模型的向量输出,查看是否一致。 + +因为用到了 flagai,请如下图所示运行 [./bash.sh ](./bash.sh) 进入容器运行调试。 + +![](https://pub-b8db533c86124200a9d799bf3ba88099.r2.dev/2023/06/ei64CNo.webp) + +* [./test/clip/clip_img.py](./test/clip/clip_img.py) 生成图片向量 +* [./test/clip/clip_txt.py](./test/clip/clip_txt.py) 生成文本向量 +* [./test/clip/clip_test.py](./test/clip/clip_test.py) 匹配图片向量和文本向量,进行零样本分类 diff --git a/onnx/bash.sh b/onnx/bash.sh new file mode 100755 index 00000000..bb0654fa --- /dev/null +++ b/onnx/bash.sh @@ -0,0 +1,30 @@ +#!/usr/bin/env bash + +DIR=$(realpath $0) && DIR=${DIR%/*} +cd $DIR +set -ex +mkdir -p out dist model + +NAME=altclip-onnx + +if ! [ -z $ORG ]; then + NAME=$ORG/$NAME +fi + +if [ -z "$1" ]; then + exe="exec bash" + it="-it" +else + exe="exec bash -c \"$@\"" + it="" +fi + +docker run \ + -v $DIR/misc:/app/misc \ + -v $DIR/img:/app/img \ + -v $DIR/export:/app/export \ + -v $DIR/onnx:/app/onnx \ + -v $DIR/dist:/app/dist \ + -v $DIR/model:/app/model \ + -v $DIR/test:/app/test \ + $it --rm $NAME bash -c "$exe" diff --git a/onnx/build.sh b/onnx/build.sh new file mode 100755 index 00000000..ae7bc70c --- /dev/null +++ b/onnx/build.sh @@ -0,0 +1,15 @@ +#!/usr/bin/env bash + +DIR=$(realpath $0) && DIR=${DIR%/*} +cd $DIR +set -ex + +GIT=$(cat ../.git/config | grep url | awk -F= '{print $2}' | sed -e 's/[ ]*//g') + +# 替换 : 为 / +GIT=${GIT//://} + +# 替换 git@ 为 https:// +GIT=${GIT//git@/https:\/\/} + +docker build --build-arg GIT=$GIT . -t altclip-onnx diff --git a/onnx/dist.sh b/onnx/dist.sh new file mode 100755 index 00000000..5d99c6ba --- /dev/null +++ b/onnx/dist.sh @@ -0,0 +1,18 @@ +#!/usr/bin/env bash + +DIR=$(realpath $0) && DIR=${DIR%/*} +cd $DIR +set -ex + +LI="L L-m9 L-m18" + +VERSION=$(cat version.txt) + +mkdir -p dist + +for model in $LI; do + export MODEL="AltCLIP-XLMR-${model}" + ./export.sh + ./export/tar.bz2.py + mv onnx/$MODEL.tar.bz2 dist/$MODEL-$VERSION.tar.bz2 +done diff --git a/onnx/export.sh b/onnx/export.sh new file mode 100755 index 00000000..4470d614 --- /dev/null +++ b/onnx/export.sh @@ -0,0 +1,13 @@ +#!/usr/bin/env bash + +DIR=$(realpath $0) && DIR=${DIR%/*} +cd $DIR +set -ex + +cmd="export MODEL=$MODEL;export/onnx.sh" + +if ! [ -z $1 ]; then + cmd="$cmd && $@" +fi + +./bash.sh $cmd diff --git a/onnx/export/down.py b/onnx/export/down.py new file mode 100755 index 00000000..e1f721a2 --- /dev/null +++ b/onnx/export/down.py @@ -0,0 +1,10 @@ +#!/usr/bin/env python + +from misc.config import MODEL_NAME, MODEL_DIR +from flagai.auto_model.auto_loader import AutoLoader + +loader = AutoLoader(task_name="txt_img_matching", + model_name=MODEL_NAME, + model_dir=MODEL_DIR) + +loader.get_model() diff --git a/onnx/export/onnx.sh b/onnx/export/onnx.sh new file mode 100755 index 00000000..d5f08f9a --- /dev/null +++ b/onnx/export/onnx.sh @@ -0,0 +1,9 @@ +#!/usr/bin/env bash + +DIR=$(realpath $0) && DIR=${DIR%/*} +cd $DIR +set -ex + +./down.py +./onnx_export_processor.py +./onnx_export.py diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py new file mode 100755 index 00000000..b87e215d --- /dev/null +++ b/onnx/export/onnx_export.py @@ -0,0 +1,60 @@ +#!/usr/bin/env python + +from PIL import Image +from os import makedirs +from os.path import join +from misc.clip_model import TXT, IMG +from misc.config import ONNX_FP, opset_version, IMG_DIR +from misc.proc import transform, tokenizer +import torch + +makedirs(ONNX_FP, exist_ok=True) + +JPG = join(IMG_DIR, 'cat.jpg') + +image = Image.open(JPG) +image = transform(image) +image = torch.tensor(image) + + +def onnx_export(outdir, model, args, **kwds): + name = f'{outdir}.onnx' + fp = join(ONNX_FP, name) + torch.onnx.export( + model, + args, + fp, + export_params=True, + # verbose=True, + opset_version=opset_version, + do_constant_folding=False, + output_names=['output'], + **kwds) + print(name, "DONE\n") + # rename(fp, join(ONNX_DIR, name)) + + +# 参考 https://github.com/OFA-Sys/Chinese-CLIP/blob/master/cn_clip/deploy/pytorch_to_onnx.py + +onnx_export('txt', + TXT, + tokenizer(['a photo of cat', 'a image of cat'], ), + input_names=['input', 'attention_mask'], + dynamic_axes={ + 'input': { + 0: 'batch', + 1: 'batch', + }, + 'attention_mask': { + 0: 'batch', + 1: 'batch', + } + }) + +onnx_export('img', + IMG, + image, + input_names=['input'], + dynamic_axes={'input': { + 0: 'batch' + }}) diff --git a/onnx/export/onnx_export_processor.py b/onnx/export/onnx_export_processor.py new file mode 100755 index 00000000..a1bc8640 --- /dev/null +++ b/onnx/export/onnx_export_processor.py @@ -0,0 +1,9 @@ +#!/usr/bin/env python + +from flagai.model.mm.AltCLIP import AltCLIPProcess +from misc.config import MODEL_FP, PROCESS_DIR +from os import makedirs + +makedirs(PROCESS_DIR, exist_ok=True) +proc = AltCLIPProcess.from_pretrained(MODEL_FP) +proc.save_pretrained(PROCESS_DIR) diff --git a/onnx/export/tar.bz2.py b/onnx/export/tar.bz2.py new file mode 100755 index 00000000..d71ebddf --- /dev/null +++ b/onnx/export/tar.bz2.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python + +from misc.config import ONNX_DIR + +import bz2 +import tarfile + + +def txz(folder_path, output_path): + stream = bz2.BZ2File(output_path, 'w') + + with tarfile.TarFile(fileobj=stream, mode='w') as tar: + tar.add(folder_path, arcname='') + + stream.close() + + +txz(ONNX_DIR, ONNX_DIR + '.tar.bz2') diff --git a/onnx/github.action.md b/onnx/github.action.md new file mode 100644 index 00000000..3c8512e5 --- /dev/null +++ b/onnx/github.action.md @@ -0,0 +1,16 @@ +# github action 上的容器自动构建 + +在 github action 中配置秘钥,就可以实现自动构建推送容器 + +* DOCKER_ORG + 组织名 + +* DOCKER_USERNAME + hub.docker.com 登录的用户 + +* DOCKER_PASSWORD + hub.docker.com 登录的密码 + +详情见[../.github/workflows/onnx.yml](../.github/workflows/onnx.yml)。 + +修改 [./version.txt](./version.txt) 可以设置推送容器的版本号。 diff --git a/onnx/img/build.jpg b/onnx/img/build.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a959e074b23cf2a5bd776dfde600635fb5ce2449 GIT binary patch literal 164874 zcmb5WXIK+qw*@*00Rluw0%&LwLg>XLAW{?)N+1xC-qjE~f>Kqip$G{A(hUfT(gl>J zBBBCDKtPmc!G=f?EMV_?-{AM%bN-zBJU2W}&rD|Cz1LoQ?LGc|_;(6IJJ1<)2nK^7 z82E$!PQxBDtgUxAyKbd3n703R^h4l-AVE;nuJ~A2J1e}mk1t+)>fbkn`vL;vqJ{JS 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z&u*`*4uQ!5Y`8(J5a}?2Vy!8))Pn9cPI9v2*?v_?pWmBR0AxiIEsnHIXJSn6?Q(om zlU7262+me{YJJAm{yIyvj-^koP{CL@C{*OxVlg zDG^IyDy(Q#0J~9NfHqdBgEAM0o{GHiGwf+F5`&jSzC94_f=UOn1PrpMYphu?``hZ^ zWxC~4U{Sk7tak8?uNI6CshdBZ0oRUB4;p?xV|nd292hn4X8ti&tpqEfmp;05rQ&Pw zyqu<^=e2~7&)Da#THS^h+rPGifqj>7;?FOByY^D$U$Ue>mQh>|l&yj~CIy&wA{*9A zfos1|x)q^LE4ZF+08M(XpCc&QbAlDJ^E9@WhzycYx+3~W(G)4R|2xIP8Sl7jVYqt+ z*^f0>NW3V!P22`N4Gdx6f6c{$cD&@5^x^VAZwf--F=~5bKR?E&3OF%mu}yY=PbTUW z=N7f=e|Fx~qzqMEprwAHlsl#feod#d$q+C$*%W(|m5*;RnQ{RFHg_ou09n7hkVI6N zHY)^9=o+O$&I)Hgf*CbZsv7X?`U^6vR4QBC&x$SL@B>b@c8FR45mQWt%mbFQG0&Ur z=tNl4h{m#cgKG#)Z)B_z7ZzSH1)q|-6mV`#`x2n0PwHq0rZUB{|Bf*>wDIlH?{kGd zwj0&M3S_rfEm8s0N)oGtVn+ONdD8J$M6BMFxzO^*T-HTRUN0%W1t)k0N7U!wGm5ve z{h0|MK5Gaol*ZJ-&bs%?7~X@Yp$#CKKn`3{OlZ234e54O^^|0Ocrtz7S5Ryeve(`b z(({|be&Sak%bkpgM&<0WgBjq&%H{HyCLY5uN`O8#8x%rOu=qL8>N%T-vU2|1CF/dev/null + if [ $? -eq 0 ]; then + echo 'Intel CPU' + pip install onnxruntime-openvino + else + echo 'Non-Intel CPU' + pip install onnxruntime + fi + fi +fi diff --git a/onnx/test/onnx/test_txt.py b/onnx/test/onnx/test_txt.py new file mode 100644 index 00000000..0fa6707b --- /dev/null +++ b/onnx/test/onnx/test_txt.py @@ -0,0 +1,6 @@ +#!/usr/bin/env python + +TEST_TXT = ( + ('a photo of dog', 'a photo for chinese woman'), + ('a photo of dog', 'a photo for cat'), +) diff --git a/onnx/version.txt b/onnx/version.txt new file mode 100644 index 00000000..04c21ffb --- /dev/null +++ b/onnx/version.txt @@ -0,0 +1 @@ +2023-06-02 diff --git a/setup.py b/setup.py index 9c460556..be25acc1 100644 --- a/setup.py +++ b/setup.py @@ -6,7 +6,8 @@ setup( name="flagai", version="v1.6.3", - description="FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.", + description= + "FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP/CV/VL tasks.", long_description=open("README.md", encoding="utf-8").read(), long_description_content_type="text/markdown", author="FlagAI-Open", @@ -17,24 +18,23 @@ include_package_data=True, python_requires=">=3.8", install_requires=[ - 'nltk==3.6.7', - 'sentencepiece==0.1.96', - 'boto3==1.21.42', - 'pandas==1.3.5', + 'nltk==3.8.1', + 'sentencepiece==0.1.99', + 'boto3==1.26.144', + 'pandas==2.0.2', 'jieba==0.42.1', - 'scikit-learn==1.0.2', - 'tensorboard==2.9.0', - 'transformers==4.20.1', + 'scikit-learn==1.2.2', + 'tensorboard==2.13.0', + 'transformers==4.29.2', 'datasets==2.0.0', - 'setuptools==59.5.0', - 'protobuf==3.19.6', + 'setuptools==66.0.0', + 'protobuf==4.23.2', 'ftfy == 6.1.1', - 'Pillow == 9.3.0', - 'einops == 0.3.0', - 'diffusers == 0.7.2', - 'pytorch-lightning == 1.6.5', + 'pillow == 9.5.0', + 'einops == 0.6.1', + 'diffusers == 0.16.1', + 'pytorch-lightning == 2.0.2', 'taming-transformers-rom1504 == 0.0.6', 'rouge-score == 0.1.2', 'sacrebleu == 2.3.1', - ] -) + ]) From c1b9ac69fcf15c3e7eefbf8d096eb84a02ea3d11 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Fri, 2 Jun 2023 15:59:13 +0800 Subject: [PATCH 02/16] add dir name to onnx .tar.bz2 --- onnx/export/tar.bz2.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/onnx/export/tar.bz2.py b/onnx/export/tar.bz2.py index d71ebddf..720276f1 100755 --- a/onnx/export/tar.bz2.py +++ b/onnx/export/tar.bz2.py @@ -1,16 +1,16 @@ #!/usr/bin/env python from misc.config import ONNX_DIR - +from os.path import basename import bz2 import tarfile -def txz(folder_path, output_path): - stream = bz2.BZ2File(output_path, 'w') +def txz(src, to): + stream = bz2.BZ2File(to, 'w') with tarfile.TarFile(fileobj=stream, mode='w') as tar: - tar.add(folder_path, arcname='') + tar.add(src, arcname=basename(src)) stream.close() From 99a8a4d25d80308658d5ab96f9c1e51185ac39cb Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Fri, 2 Jun 2023 21:05:36 +0800 Subject: [PATCH 03/16] add norm onnx --- onnx/README.md | 22 ++++++++------ onnx/export/onnx_export.py | 54 ++++++++++++++++++---------------- onnx/export/tar.bz2.py | 8 ++--- onnx/misc/clip_model.py | 28 ++++++++++++++---- onnx/misc/config.py | 2 +- onnx/misc/norm.py | 9 ++++++ onnx/test/clip/clip_img.py | 8 +++-- onnx/test/clip/clip_txt.py | 6 ++-- onnx/{ => test}/img/build.jpg | Bin onnx/{ => test}/img/cat.jpg | Bin onnx/{ => test}/img/dog.jpg | Bin onnx/{ => test}/img/man.jpg | Bin onnx/{ => test}/img/rat.jpg | Bin onnx/{ => test}/img/woman.jpg | Bin onnx/test/onnx/onnx_img.py | 9 ++++-- onnx/test/onnx/onnx_txt.py | 20 ++++++++++--- 16 files changed, 109 insertions(+), 57 deletions(-) create mode 100644 onnx/misc/norm.py rename onnx/{ => test}/img/build.jpg (100%) rename onnx/{ => test}/img/cat.jpg (100%) rename onnx/{ => test}/img/dog.jpg (100%) rename onnx/{ => test}/img/man.jpg (100%) rename onnx/{ => test}/img/rat.jpg (100%) rename onnx/{ => test}/img/woman.jpg (100%) diff --git a/onnx/README.md b/onnx/README.md index 7707cb01..1f1bffd8 100644 --- a/onnx/README.md +++ b/onnx/README.md @@ -30,7 +30,7 @@ ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种 * `./bash.sh` 在本地进入容器的 bash,方便调试 -* `./export.sh` 运行容器,导出 onnx +* `./export.sh` 运行容器,下载 pytorch 模型,然后转换为 onnx 设置环境变量 MODEL ,可以配置导出、测试脚本运行的模型 。 @@ -39,6 +39,17 @@ ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种 * AltCLIP-XLMR-L * AltCLIP-XLMR-L-m9 + 运行后将生成 4 个 onnx 文件和很多权重文件 + + * onnx/AltCLIP-XLMR-L-m18/onnx/Img.onnx + * onnx/AltCLIP-XLMR-L-m18/onnx/ImgNorm.onnx + * onnx/AltCLIP-XLMR-L-m18/onnx/Txt.onnx + * onnx/AltCLIP-XLMR-L-m18/onnx/TxtNorm.onnx + + 其中 Norm 代表输出归一化的向量,如果想把生成的文本向量和图片向量存入向量数据库,进行相似性搜索,请用归一化的向量。 + + 具体用见下文的 onnx 模型的测试脚本。 + * `./dist.sh` 运行容器,导出以上 3 个模型的 onnx,并打包放到 dist 目录下。 ### 目录 @@ -67,17 +78,10 @@ onnxruntime 有很多版本可以选择,见[onnxruntime](https://onnxruntime.a 请先安装 [direnv](https://github.com/direnv/direnv/blob/master/README.md) 并在本目录下 `direnv allow` 或者手工 `source .envrc` 来设置 PYTHONPATH 环境变量。 -* [./test/onnx/onnx_img.py](./test/onnx/onnx_img.py) 生成图片向量 +* [./test/onnx/onnx_img.py](./test/onnx/onnx_img.py) 生成图片向量 (norm 代表归一化的向量,可用于向量搜索) * [./test/onnx/onnx_txt.py](./test/onnx/onnx_txt.py) 生成文本向量 * [./test/onnx/onnx_test.py](./test/onnx/onnx_test.py) 匹配图片向量和文本向量,进行零样本分类 -如果想把生成的文本向量和图片向量存入数据库,进行相似性搜索,请先对特征进行归一化。 - -```python -image_features /= image_features.norm(dim=-1, keepdim=True) -text_features /= text_features.norm(dim=-1, keepdim=True) -``` - 可借助向量数据库,提升零样本分类的准确性,参见[ECCV 2022 | 无需下游训练,Tip-Adapter 大幅提升 CLIP 图像分类准确率](https://cloud.tencent.com/developer/article/2126102)。 #### pytorch 模型 diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py index b87e215d..7ac00b34 100755 --- a/onnx/export/onnx_export.py +++ b/onnx/export/onnx_export.py @@ -3,7 +3,7 @@ from PIL import Image from os import makedirs from os.path import join -from misc.clip_model import TXT, IMG +from misc.clip_model import TXT, IMG, TXT_NORM, IMG_NORM from misc.config import ONNX_FP, opset_version, IMG_DIR from misc.proc import transform, tokenizer import torch @@ -17,8 +17,8 @@ image = torch.tensor(image) -def onnx_export(outdir, model, args, **kwds): - name = f'{outdir}.onnx' +def onnx_export(model, args, **kwds): + name = f'{model.__class__.__name__}.onnx' fp = join(ONNX_FP, name) torch.onnx.export( model, @@ -35,26 +35,28 @@ def onnx_export(outdir, model, args, **kwds): # 参考 https://github.com/OFA-Sys/Chinese-CLIP/blob/master/cn_clip/deploy/pytorch_to_onnx.py - -onnx_export('txt', - TXT, - tokenizer(['a photo of cat', 'a image of cat'], ), - input_names=['input', 'attention_mask'], - dynamic_axes={ - 'input': { - 0: 'batch', - 1: 'batch', - }, - 'attention_mask': { - 0: 'batch', - 1: 'batch', - } - }) - -onnx_export('img', - IMG, - image, - input_names=['input'], - dynamic_axes={'input': { - 0: 'batch' - }}) +def export(txt, img): + onnx_export(txt, + tokenizer(['a photo of cat', 'a image of cat'], ), + input_names=['input', 'attention_mask'], + dynamic_axes={ + 'input': { + 0: 'batch', + 1: 'batch', + }, + 'attention_mask': { + 0: 'batch', + 1: 'batch', + } + }) + + onnx_export(img, + image, + input_names=['input'], + dynamic_axes={'input': { + 0: 'batch' + }}) + + +export(TXT, IMG) +export(TXT_NORM, IMG_NORM) diff --git a/onnx/export/tar.bz2.py b/onnx/export/tar.bz2.py index 720276f1..73c3cbcf 100755 --- a/onnx/export/tar.bz2.py +++ b/onnx/export/tar.bz2.py @@ -7,12 +7,12 @@ def txz(src, to): - stream = bz2.BZ2File(to, 'w') + stream = bz2.BZ2File(to, 'w') - with tarfile.TarFile(fileobj=stream, mode='w') as tar: - tar.add(src, arcname=basename(src)) + with tarfile.TarFile(fileobj=stream, mode='w') as tar: + tar.add(src, arcname=basename(src)) - stream.close() + stream.close() txz(ONNX_DIR, ONNX_DIR + '.tar.bz2') diff --git a/onnx/misc/clip_model.py b/onnx/misc/clip_model.py index 6bd41a19..33d2c26e 100755 --- a/onnx/misc/clip_model.py +++ b/onnx/misc/clip_model.py @@ -1,6 +1,7 @@ #!/usr/bin/env python import torch +from misc.norm import norm import torch.nn as nn from .device import DEVICE from .config import MODEL_FP @@ -12,10 +13,10 @@ MODEL.to(DEVICE) -class ImgModel(nn.Module): +class Img(nn.Module): def __init__(self): - super(ImgModel, self).__init__() + super(Img, self).__init__() self.model = MODEL def forward(self, image): @@ -24,10 +25,16 @@ def forward(self, image): return self.model.get_image_features(image) -class TxtModel(nn.Module): +class ImgNorm(Img): + + def forward(self, image): + return norm(super(ImgNorm, self).forward(image)) + + +class Txt(nn.Module): def __init__(self): - super(TxtModel, self).__init__() + super(Txt, self).__init__() self.model = MODEL def forward(self, text, attention_mask): @@ -37,5 +44,14 @@ def forward(self, text, attention_mask): return self.model.get_text_features(text, attention_mask=attention_mask) -IMG = ImgModel() -TXT = TxtModel() +class TxtNorm(Txt): + + def forward(self, text, attention_mask): + return norm(super(TxtNorm, self).forward(text, attention_mask)) + + +IMG = Img() +IMG_NORM = ImgNorm() + +TXT = Txt() +TXT_NORM = TxtNorm() diff --git a/onnx/misc/config.py b/onnx/misc/config.py index ebb76cbf..99ce1327 100644 --- a/onnx/misc/config.py +++ b/onnx/misc/config.py @@ -7,7 +7,7 @@ ROOT = dirname(dirname(abspath(__file__))) -IMG_DIR = join(ROOT, 'img') +IMG_DIR = join(ROOT, 'test/img') MODEL_DIR = join(ROOT, 'model') MODEL_FP = join(MODEL_DIR, MODEL_NAME) diff --git a/onnx/misc/norm.py b/onnx/misc/norm.py new file mode 100644 index 00000000..edbadf6a --- /dev/null +++ b/onnx/misc/norm.py @@ -0,0 +1,9 @@ +#!/usr/bin/env python +import torch + + +# 对特征进行归一化 +def norm(vec): + with torch.no_grad(): + vec /= vec.norm(dim=-1, keepdim=True) + return vec diff --git a/onnx/test/clip/clip_img.py b/onnx/test/clip/clip_img.py index aceeb6b7..1da276d6 100755 --- a/onnx/test/clip/clip_img.py +++ b/onnx/test/clip/clip_img.py @@ -13,8 +13,12 @@ def img2vec(img): if __name__ == "__main__": from misc.config import IMG_DIR + from misc.norm import norm from os.path import join - fp = join(IMG_DIR, 'cat.jpg') from PIL import Image + + fp = join(IMG_DIR, 'cat.jpg') img = Image.open(fp) - print(img2vec(img)) + vec = img2vec(img) + print('vec', vec) + print('norm', norm(vec)) diff --git a/onnx/test/clip/clip_txt.py b/onnx/test/clip/clip_txt.py index 9473a76b..9bde55a9 100755 --- a/onnx/test/clip/clip_txt.py +++ b/onnx/test/clip/clip_txt.py @@ -13,11 +13,13 @@ def txt2vec(li): from glob import glob from misc.config import ROOT from test_txt import TEST_TXT + from misc.norm import norm li = glob(join(ROOT, 'jpg/*.jpg')) for li in TEST_TXT: r = txt2vec(li) - for txt, i in zip(li, r): + for txt, vec in zip(li, r): print(txt) - print(i) + print('vec', vec) + print('norm', norm(vec)) print('\n') diff --git a/onnx/img/build.jpg b/onnx/test/img/build.jpg similarity index 100% rename from onnx/img/build.jpg rename to onnx/test/img/build.jpg diff --git a/onnx/img/cat.jpg b/onnx/test/img/cat.jpg similarity index 100% rename from onnx/img/cat.jpg rename to onnx/test/img/cat.jpg diff --git a/onnx/img/dog.jpg b/onnx/test/img/dog.jpg similarity index 100% rename from onnx/img/dog.jpg rename to onnx/test/img/dog.jpg diff --git a/onnx/img/man.jpg b/onnx/test/img/man.jpg similarity index 100% rename from onnx/img/man.jpg rename to onnx/test/img/man.jpg diff --git a/onnx/img/rat.jpg b/onnx/test/img/rat.jpg similarity index 100% rename from onnx/img/rat.jpg rename to onnx/test/img/rat.jpg diff --git a/onnx/img/woman.jpg b/onnx/test/img/woman.jpg similarity index 100% rename from onnx/img/woman.jpg rename to onnx/test/img/woman.jpg diff --git a/onnx/test/onnx/onnx_img.py b/onnx/test/onnx/onnx_img.py index 8b350b20..b500e128 100755 --- a/onnx/test/onnx/onnx_img.py +++ b/onnx/test/onnx/onnx_img.py @@ -4,16 +4,19 @@ from PIL import Image from onnx_load import onnx_load -MODEL = onnx_load('img') +IMG = onnx_load('Img') def img2vec(img): - return MODEL.run(None, {'input': transform(img)})[0] + return IMG.run(None, {'input': transform(img)})[0] if __name__ == '__main__': from misc.config import IMG_DIR from os.path import join img = Image.open(join(IMG_DIR, 'cat.jpg')) + vec = img2vec(img) - print(vec) + print('vec', vec) + IMG_NORM = onnx_load('ImgNorm') + print('norm', IMG_NORM.run(None, {'input': transform(img)})[0]) diff --git a/onnx/test/onnx/onnx_txt.py b/onnx/test/onnx/onnx_txt.py index 9a99077e..41aac728 100755 --- a/onnx/test/onnx/onnx_txt.py +++ b/onnx/test/onnx/onnx_txt.py @@ -3,22 +3,34 @@ from misc.proc import tokenizer from onnx_load import onnx_load -MODEL = onnx_load('txt') +TXT = onnx_load('Txt') def txt2vec(li): text, attention_mask = tokenizer(li) text = text.numpy() attention_mask = attention_mask.numpy() - output = MODEL.run(None, {'input': text, 'attention_mask': attention_mask}) + output = TXT.run(None, {'input': text, 'attention_mask': attention_mask}) return output[0] if __name__ == '__main__': + from test_txt import TEST_TXT + + TXT_NORM = onnx_load('TxtNorm') + for li in TEST_TXT: r = txt2vec(li) - for txt, i in zip(li, r): + text, attention_mask = tokenizer(li) + text = text.numpy() + attention_mask = attention_mask.numpy() + output = TXT_NORM.run(None, { + 'input': text, + 'attention_mask': attention_mask + })[0] + for txt, vec, norm in zip(li, r, output): print(txt) - print(i) + print('vec', vec) + print('norm', norm) print('\n') From ad3914bae62fd595dc34c3fb9323d58706478aed Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sat, 3 Jun 2023 12:42:41 +0800 Subject: [PATCH 04/16] cat set env ONNX_PROVIDER , can print all/can use onnx providers --- onnx/README.md | 35 +++++++++++++++++++++++++++++++---- onnx/test/onnx/onnx_img.py | 6 +++++- onnx/test/onnx/onnx_load.py | 19 ++++++++++++------- 3 files changed, 48 insertions(+), 12 deletions(-) mode change 100644 => 100755 onnx/test/onnx/onnx_load.py diff --git a/onnx/README.md b/onnx/README.md index 1f1bffd8..b4f537d7 100644 --- a/onnx/README.md +++ b/onnx/README.md @@ -54,8 +54,8 @@ ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种 ### 目录 -* model/ 存放下载的模型 -* onnx/ 存放导出的 onnx,下载的 onnx 也请解压到这里 +* `model/` 存放下载的模型 +* `onnx/` 存放导出的 onnx,下载的 onnx 也请解压到这里 ### 测试 @@ -80,9 +80,36 @@ onnxruntime 有很多版本可以选择,见[onnxruntime](https://onnxruntime.a * [./test/onnx/onnx_img.py](./test/onnx/onnx_img.py) 生成图片向量 (norm 代表归一化的向量,可用于向量搜索) * [./test/onnx/onnx_txt.py](./test/onnx/onnx_txt.py) 生成文本向量 -* [./test/onnx/onnx_test.py](./test/onnx/onnx_test.py) 匹配图片向量和文本向量,进行零样本分类 +* [./test/onnx/onnx_test.py](./test/onnx/onnx_test.py) -可借助向量数据库,提升零样本分类的准确性,参见[ECCV 2022 | 无需下游训练,Tip-Adapter 大幅提升 CLIP 图像分类准确率](https://cloud.tencent.com/developer/article/2126102)。 + 匹配图片向量和文本向量,进行零样本分类 + + 可借助向量数据库,提升零样本分类的准确性,参见[ECCV 2022 | 无需下游训练,Tip-Adapter 大幅提升 CLIP 图像分类准确率](https://cloud.tencent.com/developer/article/2126102)。 +* [./test/onnx/onnx_load.py](./test/onnx/onnx_load.py) + + onnx 模型的加载代码,运行它可以看到当前机器可用的 onnx provider。 + + 比如苹果 M2 芯片的笔记本上运行如下: + + ``` + ❯ ./onnx_load.py 2>/dev/null + all providers : + ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'MIGraphXExecutionProvider', 'ROCMExecutionProvider', 'OpenVINOExecutionProvider', 'DnnlExecutionProvider', 'TvmExecutionProvider', 'VitisAIExecutionProvider', 'NnapiExecutionProvider', 'CoreMLExecutionProvider', 'ArmNNExecutionProvider', 'ACLExecutionProvider', 'DmlExecutionProvider', 'RknpuExecutionProvider', 'XnnpackExecutionProvider', 'CANNExecutionProvider', 'CPUExecutionProvider'] + + now can use providers : + ['CoreMLExecutionProvider', 'CPUExecutionProvider'] + ``` + + 可以创建 FlagAI/onnx/.env ,设置环境变量 `ONNX_PROVIDER`,配置当前环境的 Onnx Execution Provider,方便测试对比性能。 + + 设置的示例如下: + + ``` + ❯ cat FlagAI/onnx/.env + ONNX_PROVIDER=CoreMLExecutionProvider + ``` + + 设置成功后,需要在 `FlagAI/onnx` 目录下运行 `direnv allow` 或者手工 `source .envrc` 让其在当前命令行中生效。 #### pytorch 模型 diff --git a/onnx/test/onnx/onnx_img.py b/onnx/test/onnx/onnx_img.py index b500e128..24977405 100755 --- a/onnx/test/onnx/onnx_img.py +++ b/onnx/test/onnx/onnx_img.py @@ -16,7 +16,11 @@ def img2vec(img): from os.path import join img = Image.open(join(IMG_DIR, 'cat.jpg')) + img_data = transform(img) + import torch + print('img data size', torch.tensor(img_data).size()) + vec = img2vec(img) print('vec', vec) IMG_NORM = onnx_load('ImgNorm') - print('norm', IMG_NORM.run(None, {'input': transform(img)})[0]) + print('norm', IMG_NORM.run(None, {'input': img_data})[0]) diff --git a/onnx/test/onnx/onnx_load.py b/onnx/test/onnx/onnx_load.py old mode 100644 new mode 100755 index 491e64fa..9849a15d --- a/onnx/test/onnx/onnx_load.py +++ b/onnx/test/onnx/onnx_load.py @@ -3,6 +3,7 @@ import onnxruntime from misc.config import ONNX_FP from os.path import join +import os session = onnxruntime.SessionOptions() option = onnxruntime.RunOptions() @@ -11,13 +12,17 @@ def onnx_load(kind): fp = join(ONNX_FP, f'{kind}.onnx') - + provider = os.getenv('ONNX_PROVIDER') + providers = [provider] if provider else None sess = onnxruntime.InferenceSession(fp, sess_options=session, - providers=[ - 'TensorrtExecutionProvider', - 'CUDAExecutionProvider', - 'CoreMLExecutionProvider', - 'CPUExecutionProvider' - ]) + providers=providers) return sess + + +if __name__ == '__main__': + from onnxruntime import get_all_providers + print('all providers :\n%s\n' % get_all_providers()) + sess = onnx_load('Txt') + providers = sess.get_providers() + print('now can use providers :\n%s\n' % providers) From 6044594b40dfbaf6c8957f3ef04d751b6883de2b Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 4 Jun 2023 00:17:35 +0800 Subject: [PATCH 05/16] add dumps json for image --- onnx/test/onnx/onnx_img.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/onnx/test/onnx/onnx_img.py b/onnx/test/onnx/onnx_img.py index 24977405..67f5b109 100755 --- a/onnx/test/onnx/onnx_img.py +++ b/onnx/test/onnx/onnx_img.py @@ -17,10 +17,10 @@ def img2vec(img): img = Image.open(join(IMG_DIR, 'cat.jpg')) img_data = transform(img) - import torch - print('img data size', torch.tensor(img_data).size()) - vec = img2vec(img) print('vec', vec) IMG_NORM = onnx_load('ImgNorm') print('norm', IMG_NORM.run(None, {'input': img_data})[0]) + + # from json import dumps + # print(dumps(img_data[0].tolist())) From 02e6a51385f8776d68d847198228ae9db9524762 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Mon, 5 Jun 2023 11:32:05 +0800 Subject: [PATCH 06/16] fix print --- onnx/test/clip/clip_test.py | 2 +- onnx/test/onnx/onnx_test.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/onnx/test/clip/clip_test.py b/onnx/test/clip/clip_test.py index c868c890..a0e04b71 100755 --- a/onnx/test/clip/clip_test.py +++ b/onnx/test/clip/clip_test.py @@ -34,7 +34,7 @@ def inference(img, tmpl_kind_li): for kind, p in zip(kind_li, text_probs.cpu().numpy()[0].tolist()): p = round(p * 10000) if p: - print(" %s %.1f%%" % (kind, p / 100)) + print(" %s %.2f%%" % (kind, p / 100)) return diff --git a/onnx/test/onnx/onnx_test.py b/onnx/test/onnx/onnx_test.py index 4dfac789..e5e3b540 100755 --- a/onnx/test/onnx/onnx_test.py +++ b/onnx/test/onnx/onnx_test.py @@ -37,7 +37,7 @@ def inference(img, tmpl_kind_li): for kind, p in zip(kind_li, text_probs.cpu().numpy()[0].tolist()): p = round(p * 10000) if p: - print(" %s %.1f%%" % (kind, p / 100)) + print(" %s %.2f%%" % (kind, p / 100)) return From 1a555d1f9bd52b4d0c324f795833a163986d20d2 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:13:57 +0800 Subject: [PATCH 07/16] remove norm --- .tool-versions | 1 + 1 file changed, 1 insertion(+) create mode 100644 .tool-versions diff --git a/.tool-versions b/.tool-versions new file mode 100644 index 00000000..28b9ff63 --- /dev/null +++ b/.tool-versions @@ -0,0 +1 @@ +python 3.10.11 From d3068f81ac621493903a3b6f5ef784e501be545b Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:14:17 +0800 Subject: [PATCH 08/16] remove norm --- onnx/README.md | 6 +----- onnx/export/onnx_export.py | 4 ++-- onnx/version.txt | 2 +- 3 files changed, 4 insertions(+), 8 deletions(-) diff --git a/onnx/README.md b/onnx/README.md index b4f537d7..64f5863e 100644 --- a/onnx/README.md +++ b/onnx/README.md @@ -39,14 +39,10 @@ ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种 * AltCLIP-XLMR-L * AltCLIP-XLMR-L-m9 - 运行后将生成 4 个 onnx 文件和很多权重文件 + 运行后将生成 2 个 onnx 文件和很多权重文件 * onnx/AltCLIP-XLMR-L-m18/onnx/Img.onnx - * onnx/AltCLIP-XLMR-L-m18/onnx/ImgNorm.onnx * onnx/AltCLIP-XLMR-L-m18/onnx/Txt.onnx - * onnx/AltCLIP-XLMR-L-m18/onnx/TxtNorm.onnx - - 其中 Norm 代表输出归一化的向量,如果想把生成的文本向量和图片向量存入向量数据库,进行相似性搜索,请用归一化的向量。 具体用见下文的 onnx 模型的测试脚本。 diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py index 7ac00b34..74e19d4e 100755 --- a/onnx/export/onnx_export.py +++ b/onnx/export/onnx_export.py @@ -3,7 +3,7 @@ from PIL import Image from os import makedirs from os.path import join -from misc.clip_model import TXT, IMG, TXT_NORM, IMG_NORM +from misc.clip_model import TXT, IMG from misc.config import ONNX_FP, opset_version, IMG_DIR from misc.proc import transform, tokenizer import torch @@ -59,4 +59,4 @@ def export(txt, img): export(TXT, IMG) -export(TXT_NORM, IMG_NORM) +# export(TXT_NORM, IMG_NORM) diff --git a/onnx/version.txt b/onnx/version.txt index 04c21ffb..20a89d2f 100644 --- a/onnx/version.txt +++ b/onnx/version.txt @@ -1 +1 @@ -2023-06-02 +2023-07-30 From 8ae2a1cd148d9307ca379211df427c13fd3d801d Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:13:57 +0800 Subject: [PATCH 09/16] remove norm --- .tool-versions | 1 + onnx/README.md | 6 +----- onnx/export/onnx_export.py | 4 ++-- onnx/version.txt | 2 +- 4 files changed, 5 insertions(+), 8 deletions(-) create mode 100644 .tool-versions diff --git a/.tool-versions b/.tool-versions new file mode 100644 index 00000000..28b9ff63 --- /dev/null +++ b/.tool-versions @@ -0,0 +1 @@ +python 3.10.11 diff --git a/onnx/README.md b/onnx/README.md index b4f537d7..64f5863e 100644 --- a/onnx/README.md +++ b/onnx/README.md @@ -39,14 +39,10 @@ ONNX(Open Neural Network Exchange),开放神经网络交换,用于在各种 * AltCLIP-XLMR-L * AltCLIP-XLMR-L-m9 - 运行后将生成 4 个 onnx 文件和很多权重文件 + 运行后将生成 2 个 onnx 文件和很多权重文件 * onnx/AltCLIP-XLMR-L-m18/onnx/Img.onnx - * onnx/AltCLIP-XLMR-L-m18/onnx/ImgNorm.onnx * onnx/AltCLIP-XLMR-L-m18/onnx/Txt.onnx - * onnx/AltCLIP-XLMR-L-m18/onnx/TxtNorm.onnx - - 其中 Norm 代表输出归一化的向量,如果想把生成的文本向量和图片向量存入向量数据库,进行相似性搜索,请用归一化的向量。 具体用见下文的 onnx 模型的测试脚本。 diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py index 7ac00b34..74e19d4e 100755 --- a/onnx/export/onnx_export.py +++ b/onnx/export/onnx_export.py @@ -3,7 +3,7 @@ from PIL import Image from os import makedirs from os.path import join -from misc.clip_model import TXT, IMG, TXT_NORM, IMG_NORM +from misc.clip_model import TXT, IMG from misc.config import ONNX_FP, opset_version, IMG_DIR from misc.proc import transform, tokenizer import torch @@ -59,4 +59,4 @@ def export(txt, img): export(TXT, IMG) -export(TXT_NORM, IMG_NORM) +# export(TXT_NORM, IMG_NORM) diff --git a/onnx/version.txt b/onnx/version.txt index 04c21ffb..20a89d2f 100644 --- a/onnx/version.txt +++ b/onnx/version.txt @@ -1 +1 @@ -2023-06-02 +2023-07-30 From 5c58aef1639d5d272f740174e2503d6d736409dc Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:17:43 +0800 Subject: [PATCH 10/16] =?UTF-8?q?=E2=99=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- onnx/Dockerfile | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/onnx/Dockerfile b/onnx/Dockerfile index 1920076d..61141af2 100755 --- a/onnx/Dockerfile +++ b/onnx/Dockerfile @@ -4,16 +4,14 @@ WORKDIR app ADD ./version.txt version -# sed -i s/ports.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ -# sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ -# sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ -# pip install -i https://mirrors.aliyun.com/pypi/simple/ \ - -RUN \ +RUN sed -i s/ports.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ +sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ +sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ apt-get update && \ apt-get install -y git pkg-config bash \ python3-full python3-pip python3-aiohttp &&\ update-alternatives --install /usr/bin/python python /usr/bin/python3 1 &&\ +pip install -i https://mirrors.aliyun.com/pypi/simple/ &&\ pip install --break-system-packages \ setuptools==66.0.0 \ urllib3==1.26.16 \ From 7f265cb6130d1f3a026651a635a3c337aafd31f2 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:26:03 +0800 Subject: [PATCH 11/16] onnx --- onnx/Dockerfile | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/onnx/Dockerfile b/onnx/Dockerfile index 61141af2..ea266fe6 100755 --- a/onnx/Dockerfile +++ b/onnx/Dockerfile @@ -8,9 +8,9 @@ RUN sed -i s/ports.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ apt-get update && \ -apt-get install -y git pkg-config bash \ -python3-full python3-pip python3-aiohttp &&\ -update-alternatives --install /usr/bin/python python /usr/bin/python3 1 &&\ +apt-get install -y git pkg-config bash python3-full python3-pip python3-aiohttp + +RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1 &&\ pip install -i https://mirrors.aliyun.com/pypi/simple/ &&\ pip install --break-system-packages \ setuptools==66.0.0 \ From 427cdf20b081b90eedf46296c6322927540ae1f6 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 13:43:49 +0800 Subject: [PATCH 12/16] onnx --- onnx/Dockerfile | 20 +++++++++----------- 1 file changed, 9 insertions(+), 11 deletions(-) diff --git a/onnx/Dockerfile b/onnx/Dockerfile index ea266fe6..f3a71406 100755 --- a/onnx/Dockerfile +++ b/onnx/Dockerfile @@ -8,16 +8,15 @@ RUN sed -i s/ports.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ sed -i s/archive.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ sed -i s/security.ubuntu.com/mirrors.aliyun.com/g /etc/apt/sources.list &&\ apt-get update && \ -apt-get install -y git pkg-config bash python3-full python3-pip python3-aiohttp - -RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 1 &&\ -pip install -i https://mirrors.aliyun.com/pypi/simple/ &&\ -pip install --break-system-packages \ -setuptools==66.0.0 \ -urllib3==1.26.16 \ -scipy transformers huggingface_hub packaging \ -tqdm requests cython \ -torch onnx && apt-get clean -y +apt-get install -y git pkg-config bash python3-full python3-pip python3-aiohttp &&\ +update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 &&\ +pip install -i https://mirrors.aliyun.com/pypi/simple/ \ + --break-system-packages \ + setuptools==66.0.0 \ + urllib3==1.26.16 \ + scipy transformers huggingface_hub packaging \ + tqdm requests cython \ + torch onnx && apt-get clean -y ARG GIT ENV GIT=$GIT @@ -33,4 +32,3 @@ RUN cd FlagAI &&\ RUN pip uninstall -y google-auth ENV PYTHONPATH /app - From eb58f2b6ac3c91c0ef7208a1b0bed016e62ae440 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Sun, 30 Jul 2023 14:49:16 +0800 Subject: [PATCH 13/16] onnx export --- onnx/Dockerfile | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/onnx/Dockerfile b/onnx/Dockerfile index f3a71406..4cd73bf3 100755 --- a/onnx/Dockerfile +++ b/onnx/Dockerfile @@ -25,10 +25,20 @@ RUN git clone --depth=1 $GIT ADD os/ / +RUN pip install -i https://mirrors.aliyun.com/pypi/simple/ PyYAML scikit-learn Pillow + RUN cd FlagAI &&\ + sed -i '/PyYAML/d' setup.py &&\ + sed -i '/scikit-learn/d' setup.py &&\ + sed -i '/Pillow/d' setup.py &&\ rm setup.cfg &&\ python setup.py install RUN pip uninstall -y google-auth +RUN \ + pip uninstall -y protobuf &&\ + pip install -i https://mirrors.aliyun.com/pypi/simple/ protobuf + +RUN pip install -i https://mirrors.aliyun.com/pypi/simple/ onnx ENV PYTHONPATH /app From 1edd232b5721ce148692fc7af95b2bfcf76e1ba4 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Mon, 31 Jul 2023 08:15:46 +0800 Subject: [PATCH 14/16] =?UTF-8?q?=E2=99=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- onnx/export/onnx_export.py | 2 +- onnx/misc/clip_model.py | 22 ++++++++++++---------- 2 files changed, 13 insertions(+), 11 deletions(-) diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py index 74e19d4e..b3c81c59 100755 --- a/onnx/export/onnx_export.py +++ b/onnx/export/onnx_export.py @@ -59,4 +59,4 @@ def export(txt, img): export(TXT, IMG) -# export(TXT_NORM, IMG_NORM) +export(TXT_NORM, IMG_NORM) diff --git a/onnx/misc/clip_model.py b/onnx/misc/clip_model.py index ce62db48..a4dce5dd 100755 --- a/onnx/misc/clip_model.py +++ b/onnx/misc/clip_model.py @@ -5,6 +5,7 @@ from .device import DEVICE from .config import MODEL_FP from flagai.model.mm.AltCLIP import CLIPHF +from misc.norm import norm MODEL = CLIPHF.from_pretrained(MODEL_FP) @@ -24,10 +25,10 @@ def forward(self, image): return self.model.get_image_features(image) -# class ImgNorm(Img): -# -# def forward(self, image): -# return norm(super(ImgNorm, self).forward(image)) +class ImgNorm(Img): + + def forward(self, image): + return norm(super(ImgNorm, self).forward(image)) class Txt(nn.Module): @@ -43,13 +44,14 @@ def forward(self, text, attention_mask): return self.model.get_text_features(text, attention_mask=attention_mask) -# class TxtNorm(Txt): -# -# def forward(self, text, attention_mask): -# return norm(super(TxtNorm, self).forward(text, attention_mask)) +class TxtNorm(Txt): + + def forward(self, text, attention_mask): + return norm(super(TxtNorm, self).forward(text, attention_mask)) + IMG = Img() -# IMG_NORM = ImgNorm() +IMG_NORM = ImgNorm() TXT = Txt() -# TXT_NORM = TxtNorm() +TXT_NORM = TxtNorm() From f744cf0a2cb7d0b8c582b199485e138306731534 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Mon, 31 Jul 2023 08:16:03 +0800 Subject: [PATCH 15/16] =?UTF-8?q?=E2=99=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- onnx/version.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/onnx/version.txt b/onnx/version.txt index 20a89d2f..3adae0ca 100644 --- a/onnx/version.txt +++ b/onnx/version.txt @@ -1 +1 @@ -2023-07-30 +2023-07-31 From 52ce9d4726a0f420de24891d8cde946cf63f9058 Mon Sep 17 00:00:00 2001 From: "xxai.art" Date: Mon, 31 Jul 2023 08:25:27 +0800 Subject: [PATCH 16/16] =?UTF-8?q?=E2=99=A8?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- onnx/export/onnx_export.py | 2 +- onnx/misc/config.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/onnx/export/onnx_export.py b/onnx/export/onnx_export.py index b3c81c59..7ac00b34 100755 --- a/onnx/export/onnx_export.py +++ b/onnx/export/onnx_export.py @@ -3,7 +3,7 @@ from PIL import Image from os import makedirs from os.path import join -from misc.clip_model import TXT, IMG +from misc.clip_model import TXT, IMG, TXT_NORM, IMG_NORM from misc.config import ONNX_FP, opset_version, IMG_DIR from misc.proc import transform, tokenizer import torch diff --git a/onnx/misc/config.py b/onnx/misc/config.py index 99ce1327..cd0e086b 100644 --- a/onnx/misc/config.py +++ b/onnx/misc/config.py @@ -17,4 +17,4 @@ ONNX_FP = join(ONNX_DIR, 'onnx') PROCESS_DIR = join(ONNX_DIR, 'process') -opset_version = 17 +opset_version = 18

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