From 9bb02cc50d5967e68ac6234fe461d64538e2778b Mon Sep 17 00:00:00 2001 From: StevenLiuWen Date: Tue, 16 Apr 2024 13:58:43 +0800 Subject: [PATCH] feat: add multiple images (or in-context learning) conversation examples (#47) Co-authored-by: Bo Liu --- .github/workflows/lint.yml | 68 +++++++++++++++++++++++++++++++++++++ README.md | 26 +++++++++++--- images/dog_a.png | Bin 0 -> 208503 bytes images/dog_b.png | Bin 0 -> 364141 bytes images/dog_c.png | Bin 0 -> 427773 bytes images/dog_d.png | Bin 0 -> 372012 bytes inference.py | 18 ++++++++++ pyproject.toml | 14 ++++++++ 8 files changed, 121 insertions(+), 5 deletions(-) create mode 100644 .github/workflows/lint.yml create mode 100644 images/dog_a.png create mode 100644 images/dog_b.png create mode 100644 images/dog_c.png create mode 100644 images/dog_d.png diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml new file mode 100644 index 0000000..1d888b8 --- /dev/null +++ b/.github/workflows/lint.yml @@ -0,0 +1,68 @@ +name: Lint + +on: + push: + branches: + - main + pull_request: + # Allow to trigger the workflow manually + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: "${{ github.workflow }}-${{ github.ref }}" + cancel-in-progress: ${{ github.event_name == 'pull_request' }} + +env: + CUDA_VERSION: "11.7" + +jobs: + lint: + runs-on: ubuntu-latest + timeout-minutes: 30 + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + submodules: "recursive" + fetch-depth: 1 + + - name: Set up Python 3.9 + uses: actions/setup-python@v5 + with: + python-version: "3.9" + update-environment: true + + - name: Upgrade pip + run: | + python -m pip install --upgrade pip setuptools wheel + + - name: Install TorchOpt + env: + USE_FP16: "OFF" + TORCH_CUDA_ARCH_LIST: "Auto" + run: | + python -m pip install torch numpy pybind11 + python -m pip install -vvv --no-build-isolation --editable '.[lint]' + + - name: pre-commit + run: | + make pre-commit + + - name: ruff + run: | + make ruff + + - name: flake8 + run: | + make flake8 + + - name: isort and black + run: | + make py-format + + - name: addlicense + run: | + make addlicense \ No newline at end of file diff --git a/README.md b/README.md index 40e8a43..98b60a1 100644 --- a/README.md +++ b/README.md @@ -132,18 +132,34 @@ tokenizer = vl_chat_processor.tokenizer vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True) vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval() +## single image conversation example conversation = [ { "role": "User", "content": "Describe each stage of this image.", - "images": ["./images/training_pipelines.jpg"] + "images": ["./images/training_pipelines.jpg"], }, - { - "role": "Assistant", - "content": "" - } + {"role": "Assistant", "content": ""}, ] +## multiple images (or in-context learning) conversation example +# conversation = [ +# { +# "role": "User", +# "content": "A dog wearing nothing in the foreground, " +# "a dog wearing a santa hat, " +# "a dog wearing a wizard outfit, and " +# "what's the dog wearing?", +# "images": [ +# "images/dog_a.png", +# "images/dog_b.png", +# "images/dog_c.png", +# "images/dog_d.png", +# ], +# }, +# {"role": "Assistant", "content": ""} +# ] + # load images and prepare for inputs pil_images = load_pil_images(conversation) prepare_inputs = vl_chat_processor( diff --git a/images/dog_a.png b/images/dog_a.png new file mode 100644 index 0000000000000000000000000000000000000000..956caab097547b8add21e235568b87cd18003fb4 GIT binary patch literal 208503 zcmb@tcQl+|^ggOYi~f-)(SnE|2oj)y5QA9vQWmU-8C-}juopS}0<>~khkN9#4^-3NE^@bD<#s4D5= z;SpePf1{+txGQS0`UH4*5Aoh8Dd_oTAFiU@w^V0p_ZGPDbWQovDyk|lSJ}c@*O{hS zrkTv?*4B2ZE_=rnX3g<;I0G@HIzJ!j{v_31363)^d6ICap4Rn_wDck18jPiWZKE8n z$*xMhY!XNOxAApIhz#}%Wxy5cn0WhWe3D)o)VaJSd&9U<%o?u|yvNPFeOX8?E}o11 zDI4sJ83!sDUFMz!qB_5W`Vp|@Sdpa00Q(HssSg-zuIGOMJjq)g$^(NAkE@rjau0Vf zmQDf0+wvMdhvpL0k;9W7r#H&51mW+23~0F@6vwsVhreNQ;MSvaANDiY$%`__@fM`E 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z+$I${UUM=)h>(!sKoA=u_6s1_m)KEX##8#6t*=FS{`2 zILL4y2!bH8V#~$?aa{HqZl%hSlU#%!4`U+91P$AP9ok47tU86GTeZFrN3IOcU;q$AKUSg4iu7l^QZq;z7!(J2{@K9A!Ex zOA^>!!qUiaAP9mWHUU+1A&B^-$T7-wvC141=u_chGynknKbj$@=c-8&<^TWy07*qo IM6N<$g1}r7w*UYD literal 0 HcmV?d00001 diff --git a/inference.py b/inference.py index 94da96e..d51ea3a 100644 --- a/inference.py +++ b/inference.py @@ -33,6 +33,7 @@ vl_gpt: MultiModalityCausalLM = AutoModelForCausalLM.from_pretrained( ) vl_gpt = vl_gpt.to(torch.bfloat16).cuda().eval() +# single image conversation example conversation = [ { "role": "User", @@ -42,6 +43,23 @@ conversation = [ {"role": "Assistant", "content": ""}, ] +# multiple images (or in-context learning) conversation example +# conversation = [ +# { +# "role": "User", +# "content": "A dog wearing nothing in the foreground, " +# "a dog wearing a santa hat, " +# "a dog wearing a wizard outfit, and " +# "what's the dog wearing?", +# "images": [ +# "images/dog_a.png", +# "images/dog_b.png", +# "images/dog_c.png", +# "images/dog_d.png", +# ], +# }, +# {"role": "Assistant", "content": ""} +# ] # load images and prepare for inputs pil_images = load_pil_images(conversation) diff --git a/pyproject.toml b/pyproject.toml index ad5905b..876d479 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,6 +34,20 @@ gradio = [ "markdown==3.4.1", "SentencePiece==0.1.96" ] +lint = [ + "isort", + "black[jupyter] >= 22.6.0", + "pylint[spelling] >= 2.15.0", + "flake8", + "flake8-bugbear", + "flake8-comprehensions", + "flake8-docstrings", + "flake8-pyi", + "flake8-simplify", + "ruff", + "pyenchant", + "pre-commit", +] [tool.setuptools] packages = {find = {exclude = ["images"]}}

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