From afdc894818748feef0eabf964f0d1d8795005dff Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 04:08:41 +0000 Subject: [PATCH 01/17] refactor: models --- .gitignore | 3 +- README.md | 3 +- docs/models/diffusion_model.md | 3 + docs/models/falai_model.md | 3 + docs/models/stability_model.md | 3 + .../evaluate_spatial_relationship_detr.py | 5 +- .../evaluate_spatial_relationship_rt_detr.py | 5 +- .../evaluate_disentangled_vqa.py | 5 +- examples/evaluate_weave_image_quality.py | 5 +- examples/evaluate_weave_prompt_alignment.py | 5 +- .../evaluate_mllm_metric_complex.py | 5 +- hemm/models/__init__.py | 5 ++ .../model.py => models/diffusion_model.py} | 6 +- hemm/models/falai_model.py | 34 ++++++++ hemm/models/stability_model.py | 77 +++++++++++++++++++ mkdocs.yml | 15 ++++ pyproject.toml | 15 ++-- 17 files changed, 175 insertions(+), 22 deletions(-) create mode 100644 docs/models/diffusion_model.md create mode 100644 docs/models/falai_model.md create mode 100644 docs/models/stability_model.md create mode 100644 hemm/models/__init__.py rename hemm/{eval_pipelines/model.py => models/diffusion_model.py} (90%) create mode 100644 hemm/models/falai_model.py create mode 100644 hemm/models/stability_model.py diff --git a/.gitignore b/.gitignore index c727996..798504c 100644 --- a/.gitignore +++ b/.gitignore @@ -165,4 +165,5 @@ dump/ .vscode/ **generated_images/ .ruff_cache/ -**.jsonl \ No newline at end of file +**.jsonl +test.py \ No newline at end of file diff --git a/README.md b/README.md index 6302446..447cdfc 100644 --- a/README.md +++ b/README.md @@ -41,8 +41,9 @@ import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.prompt_alignment import CLIPImageQualityScoreMetric, CLIPScoreMetric +from hemm.models import BaseDiffusionModel # Initialize Weave and WandB diff --git a/docs/models/diffusion_model.md b/docs/models/diffusion_model.md new file mode 100644 index 0000000..7b242b4 --- /dev/null +++ b/docs/models/diffusion_model.md @@ -0,0 +1,3 @@ +# Diffusion Models + +::: hemm.models.diffusion_model \ No newline at end of file diff --git a/docs/models/falai_model.md b/docs/models/falai_model.md new file mode 100644 index 0000000..f135dba --- /dev/null +++ b/docs/models/falai_model.md @@ -0,0 +1,3 @@ +# FalAI Models + +::: hemm.models.falai_model \ No newline at end of file diff --git a/docs/models/stability_model.md b/docs/models/stability_model.md new file mode 100644 index 0000000..f525857 --- /dev/null +++ b/docs/models/stability_model.md @@ -0,0 +1,3 @@ +# StabilityAI Model + +::: hemm.models.stability_model \ No newline at end of file diff --git a/examples/2d_spatial_eval/evaluate_spatial_relationship_detr.py b/examples/2d_spatial_eval/evaluate_spatial_relationship_detr.py index 25a1190..d718e83 100644 --- a/examples/2d_spatial_eval/evaluate_spatial_relationship_detr.py +++ b/examples/2d_spatial_eval/evaluate_spatial_relationship_detr.py @@ -1,12 +1,13 @@ from typing import Optional, Tuple import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.spatial_relationship import SpatialRelationshipMetric2D from hemm.metrics.spatial_relationship.judges import DETRSpatialRelationShipJudge +from hemm.models import BaseDiffusionModel def main( diff --git a/examples/2d_spatial_eval/evaluate_spatial_relationship_rt_detr.py b/examples/2d_spatial_eval/evaluate_spatial_relationship_rt_detr.py index 0de024d..d5a2c3e 100644 --- a/examples/2d_spatial_eval/evaluate_spatial_relationship_rt_detr.py +++ b/examples/2d_spatial_eval/evaluate_spatial_relationship_rt_detr.py @@ -1,12 +1,13 @@ from typing import Optional, Tuple import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.spatial_relationship import SpatialRelationshipMetric2D from hemm.metrics.spatial_relationship.judges import RTDETRSpatialRelationShipJudge +from hemm.models import BaseDiffusionModel def main( diff --git a/examples/disentangled_vqa/evaluate_disentangled_vqa.py b/examples/disentangled_vqa/evaluate_disentangled_vqa.py index 160d305..afef6d7 100644 --- a/examples/disentangled_vqa/evaluate_disentangled_vqa.py +++ b/examples/disentangled_vqa/evaluate_disentangled_vqa.py @@ -1,12 +1,13 @@ from typing import Optional, Tuple import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.vqa import DisentangledVQAMetric from hemm.metrics.vqa.judges import BlipVQAJudge +from hemm.models import BaseDiffusionModel def main( diff --git a/examples/evaluate_weave_image_quality.py b/examples/evaluate_weave_image_quality.py index f3fa628..f1de969 100644 --- a/examples/evaluate_weave_image_quality.py +++ b/examples/evaluate_weave_image_quality.py @@ -1,9 +1,10 @@ import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.image_quality import LPIPSMetric, PSNRMetric, SSIMMetric +from hemm.models import BaseDiffusionModel def main( diff --git a/examples/evaluate_weave_prompt_alignment.py b/examples/evaluate_weave_prompt_alignment.py index 469cd9d..ddacaaf 100644 --- a/examples/evaluate_weave_prompt_alignment.py +++ b/examples/evaluate_weave_prompt_alignment.py @@ -1,9 +1,10 @@ import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.prompt_alignment import CLIPImageQualityScoreMetric, CLIPScoreMetric +from hemm.models import BaseDiffusionModel def main( diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index bf37ce2..a41052b 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -1,12 +1,13 @@ from typing import Optional import fire -import wandb import weave -from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline +import wandb +from hemm.eval_pipelines import EvaluationPipeline from hemm.metrics.vqa import MultiModalLLMEvaluationMetric from hemm.metrics.vqa.judges.mmllm_judges import OpenAIJudge, PromptCategory +from hemm.models import BaseDiffusionModel def main( diff --git a/hemm/models/__init__.py b/hemm/models/__init__.py new file mode 100644 index 0000000..883d860 --- /dev/null +++ b/hemm/models/__init__.py @@ -0,0 +1,5 @@ +from .diffusion_model import BaseDiffusionModel +from .falai_model import FalAIModel +from .stability_model import StabilityAPIModel + +__all__ = ["BaseDiffusionModel", "FalAIModel", "StabilityAPIModel"] diff --git a/hemm/eval_pipelines/model.py b/hemm/models/diffusion_model.py similarity index 90% rename from hemm/eval_pipelines/model.py rename to hemm/models/diffusion_model.py index c0d3a3a..2cfe0ba 100644 --- a/hemm/eval_pipelines/model.py +++ b/hemm/models/diffusion_model.py @@ -6,14 +6,18 @@ class BaseDiffusionModel(weave.Model): - """Base `weave.Model` wrapping `diffusers.DiffusionPipeline`. + """`weave.Model` wrapping `diffusers.DiffusionPipeline`. Args: diffusion_model_name_or_path (str): The name or path of the diffusion model. enable_cpu_offfload (bool): Enable CPU offload for the diffusion model. image_height (int): The height of the generated image. image_width (int): The width of the generated image. + num_inference_steps (int): The number of inference steps. disable_safety_checker (bool): Disable safety checker for the diffusion model. + configs (Dict[str, Any]): Additional configs. + pipeline_configs (Dict[str, Any]): Diffusion pipeline configs. + inference_kwargs (Dict[str, Any]): Inference kwargs. """ diffusion_model_name_or_path: str diff --git a/hemm/models/falai_model.py b/hemm/models/falai_model.py new file mode 100644 index 0000000..e02efe9 --- /dev/null +++ b/hemm/models/falai_model.py @@ -0,0 +1,34 @@ +from typing import Any, Dict + +import fal_client +import weave +from diffusers.utils.loading_utils import load_image +from PIL import Image + +from ..utils import custom_weave_wrapper + + +class FalAIModel(weave.Model): + """`weave.Model` wrapping [FalAI](https://fal.ai/) calls. + + Args: + model_name (str): FalAI model name. + inference_kwargs (Dict[str, Any]): Inference kwargs. + """ + + model_name: str + inference_kwargs: Dict[str, Any] = {} + + @weave.op() + def generate_image(self, prompt: str, seed: int) -> Image.Image: + result = custom_weave_wrapper(name="fal_client.submit.get")( + fal_client.submit( + self.model_name, + arguments={"prompt": prompt, "seed": seed, **self.inference_kwargs}, + ).get + )() + return load_image(result["images"][0]["url"]) + + @weave.op() + def predict(self, prompt: str, seed: int) -> Image.Image: + return {"image": self.generate_image(prompt=prompt, seed=seed)} diff --git a/hemm/models/stability_model.py b/hemm/models/stability_model.py new file mode 100644 index 0000000..cdb838c --- /dev/null +++ b/hemm/models/stability_model.py @@ -0,0 +1,77 @@ +import io +import os +from typing import Any, Dict + +import requests +import weave +from PIL import Image + +STABILITY_MODEL_HOST = { + "sd3-large": "https://api.stability.ai/v2beta/stable-image/generate/sd3", + "sd3-large-turbo": "https://api.stability.ai/v2beta/stable-image/generate/sd3", +} + + +class StabilityAPIModel(weave.Model): + """`weave.Model` wrapping Stability API calls. + + Args: + model_name (str): Stability model name. + aspect_ratio (str): Aspect ratio of the generated image. + creativity (float): Creativity of the generated image. + """ + + model_name: str + aspect_ratio: str = "1:1" + creativity: float = 0.35 + configs: Dict[str, Any] = {} + + def __init__( + self, + model_name: str, + aspect_ratio: str = "1:1", + creativity: float = 0.35, + ) -> None: + assert aspect_ratio in [ + "1:1", + "16:9", + "21:9", + "2:3", + "3:2", + "4:5", + "5:4", + "9:16", + "9:21", + ], "Invalid aspect ratio" + super().__init__( + model_name=model_name, aspect_ratio=aspect_ratio, creativity=creativity + ) + + @weave.op() + def send_generation_request(self, prompt: str, seed: int): + api_key = os.environ["STABILITY_KEY"] + headers = {"Accept": "image/*", "Authorization": f"Bearer {api_key}"} + response = requests.post( + STABILITY_MODEL_HOST[self.model_name], + headers=headers, + files={"none": ""}, + data={ + "prompt": prompt, + "negative_prompt": "", + "aspect_ratio": self.aspect_ratio, + "seed": seed, + "output_format": "png", + "model": self.model_name, + "mode": "text-to-image", + "creativity": self.creativity, + }, + ) + if not response.ok: + raise Exception(f"HTTP {response.status_code}: {response.text}") + return response + + @weave.op() + def predict(self, prompt: str, seed: int) -> Image.Image: + response = self.send_generation_request(prompt=prompt, seed=seed) + image = Image.open(io.BytesIO(response.content)) + return {"image": image} diff --git a/mkdocs.yml b/mkdocs.yml index b5fd04a..c66a0e9 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -3,6 +3,17 @@ site_name: Hemm theme: name: material + palette: + # Palette toggle for light mode + - scheme: default + toggle: + icon: material/brightness-7 + name: Switch to dark mode + # Palette toggle for dark mode + - scheme: slate + toggle: + icon: material/brightness-4 + name: Switch to light mode logo: assets/wandb_logo.svg favicon: assets/wandb_logo.svg features: @@ -47,6 +58,10 @@ extra_javascript: nav: - Home: 'index.md' - Evaluation-Pipelines: 'eval_pipelines.md' + - Models: + - Diffusion-Models: 'models/diffusion_model.md' + - FalAI-Models: 'models/falai_model.md' + - StabilityAI-Models: 'models/stability_model.md' - Metrics: - Image-Quality-Metrics: 'metrics/image_quality.md' - Prompt-Image-Alignment: 'metrics/prompt_image_alignment.md' diff --git a/pyproject.toml b/pyproject.toml index 1f7f906..dfc9617 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,12 +16,14 @@ weave = "^0.50.9" huggingface-hub = "^0.23.0" datasets = "^2.19.1" fire = "^0.6.0" -mkdocs = "^1.4.3" -mkdocs-material = "^9.1.15" -mkdocs-minify-plugin = "^0.6.4" -mkdocs-glightbox = "^0.3.4" -mkdocs-jupyter = "^0.24.1" -jupyter = "^1.0.0" +mkdocs = "^1.6.1" +mkdocstrings = "^0.26.1" +mkdocstrings-python = "^1.11.1" +mkdocs-material = "^9.5.39" +mkdocs-minify-plugin = "^0.8.0" +mkdocs-glightbox = "^0.4.0" +mkdocs-jupyter = "^0.25.0" +jupyter = "^1.1.1" black = "^24.4.2" torcheval = "^0.0.7" ruff = "^0.4.5" @@ -31,7 +33,6 @@ jsonlines = "^4.0.0" spacy = "^3.7.5" instructor = "^1.3.4" torchmetrics = { extras = ["multimodal"], version = "^1.4.1" } -mkdocstrings = {version = "^0.25.2", extras = ["python"]} sentencepiece = "^0.2.0" [tool.poetry.extras] From 15104b58f05d33049cb31dbe2cf376ffc0460043 Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 09:03:13 +0000 Subject: [PATCH 02/17] add: utility custom_wrapper --- hemm/eval_pipelines/eval_pipeline.py | 7 +++++-- hemm/utils.py | 9 +++++++++ pyproject.toml | 2 +- 3 files changed, 15 insertions(+), 3 deletions(-) diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index 15d46c8..c027bd0 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -6,7 +6,10 @@ import weave from ..metrics.base import BaseMetric -from .model import BaseDiffusionModel +from ..models import BaseDiffusionModel, FalAIModel, StabilityAPIModel + + +MODEL_TYPE = Union[BaseDiffusionModel, FalAIModel, StabilityAPIModel] class EvaluationPipeline(ABC): @@ -17,7 +20,7 @@ class EvaluationPipeline(ABC): seed (int): Seed value for the random number generator. """ - def __init__(self, model: BaseDiffusionModel, seed: int = 42) -> None: + def __init__(self, model: MODEL_TYPE, seed: int = 42) -> None: super().__init__() self.model = model diff --git a/hemm/utils.py b/hemm/utils.py index 447150c..35f3597 100644 --- a/hemm/utils.py +++ b/hemm/utils.py @@ -155,3 +155,12 @@ def autogenerate_seed(set_to_max: bool = False) -> int: seed = -seed if seed < 0 else seed seed = seed % max_seed return seed + + +def custom_wrapper(name: str) -> Callable[[Callable], Callable]: + def wrapper(fn: Callable) -> Callable: + op = weave.op()(fn) + op.name = name # type: ignore + return op + + return wrapper diff --git a/pyproject.toml b/pyproject.toml index dfc9617..c25ccbc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ diffusers = "^0.27.2" accelerate = "^0.30.1" wandb = "^0.17.0" poetry = "^1.8.3" -weave = "^0.50.9" +weave = "^0.51.12" huggingface-hub = "^0.23.0" datasets = "^2.19.1" fire = "^0.6.0" From ec47f925153f9bb672c4b65ab1fb3457f13c7cf0 Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 09:07:44 +0000 Subject: [PATCH 03/17] add: parameter async_infer to EvaluationPipeline.__call__ --- hemm/eval_pipelines/eval_pipeline.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index c027bd0..5572a93 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -107,17 +107,23 @@ def log_summary(self, summary: Dict[str, float]) -> None: } ) - def __call__(self, dataset: Union[List[Dict], str]) -> Dict[str, float]: + def __call__( + self, dataset: Union[List[Dict], str], async_infer: bool = False + ) -> Dict[str, float]: """Evaluate the Stable Diffusion model on the given dataset. Args: dataset (Union[List[Dict], str]): Dataset to evaluate the model on. If a string is passed, it is assumed to be a Weave dataset reference. + async_infer (bool, optional): Whether to use async inference. Defaults to False. """ dataset = weave.ref(dataset).get() if isinstance(dataset, str) else dataset evaluation = weave.Evaluation( dataset=dataset, - scorers=[metric_fn.evaluate_async for metric_fn in self.metric_functions], + scorers=[ + metric_fn.evaluate_async if async_infer else metric_fn.evaluate + for metric_fn in self.metric_functions + ], ) self.model.configs.update(self.evaluation_configs) summary = asyncio.run(evaluation.evaluate(self.infer_async)) From 185669a599b89c1de70a8cf5c0f2e6af0b3299a3 Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 09:11:29 +0000 Subject: [PATCH 04/17] update: examples --- examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py | 5 ++++- hemm/utils.py | 2 +- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index a41052b..f527c97 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -17,6 +17,7 @@ def main( dataset_limit: Optional[int] = None, diffusion_model_address: str = "stabilityai/stable-diffusion-2-1", diffusion_model_enable_cpu_offfload: bool = False, + openai_judge_model: str = "gpt-4o", image_height: int = 1024, image_width: int = 1024, num_inference_steps: int = 50, @@ -37,7 +38,9 @@ def main( diffusion_model._pipeline.set_progress_bar_config(disable=True) evaluation_pipeline = EvaluationPipeline(model=diffusion_model) - judge = OpenAIJudge(prompt_property=PromptCategory.action) + judge = OpenAIJudge( + prompt_property=PromptCategory.action, openai_model=openai_judge_model + ) metric = MultiModalLLMEvaluationMetric(judge=judge) evaluation_pipeline.add_metric(metric) diff --git a/hemm/utils.py b/hemm/utils.py index 35f3597..e9dc091 100644 --- a/hemm/utils.py +++ b/hemm/utils.py @@ -157,7 +157,7 @@ def autogenerate_seed(set_to_max: bool = False) -> int: return seed -def custom_wrapper(name: str) -> Callable[[Callable], Callable]: +def custom_weave_wrapper(name: str) -> Callable[[Callable], Callable]: def wrapper(fn: Callable) -> Callable: op = weave.op()(fn) op.name = name # type: ignore From 376d3aba846275a2b52a0d317073ac81df333a43 Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 09:12:25 +0000 Subject: [PATCH 05/17] fix: imports bug --- hemm/eval_pipelines/__init__.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/hemm/eval_pipelines/__init__.py b/hemm/eval_pipelines/__init__.py index e95cb96..ae451df 100644 --- a/hemm/eval_pipelines/__init__.py +++ b/hemm/eval_pipelines/__init__.py @@ -1,4 +1,4 @@ from .eval_pipeline import EvaluationPipeline -from .model import BaseDiffusionModel -__all__ = ["BaseDiffusionModel", "EvaluationPipeline"] +__all__ = ["EvaluationPipeline"] + From 673cfbde406dae659c620a30d76ef01f8a738953 Mon Sep 17 00:00:00 2001 From: geekyrakshit <19soumik.rakshit96@gmail.com> Date: Tue, 8 Oct 2024 09:20:46 +0000 Subject: [PATCH 06/17] fix: lint --- hemm/eval_pipelines/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/hemm/eval_pipelines/__init__.py b/hemm/eval_pipelines/__init__.py index ae451df..dea3c26 100644 --- a/hemm/eval_pipelines/__init__.py +++ b/hemm/eval_pipelines/__init__.py @@ -1,4 +1,3 @@ from .eval_pipeline import EvaluationPipeline __all__ = ["EvaluationPipeline"] - From e71a14c1ccefb747bec92c24fc97eb90a83ba65b Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 08:03:52 +0000 Subject: [PATCH 07/17] fix: OpenAIJudge --- .gitignore | 3 +- .../evaluate_mllm_metric_complex.py | 5 +- hemm/eval_pipelines/eval_pipeline.py | 50 +- .../vqa/judges/mmllm_judges/openai_judge.py | 59 +- poetry.lock | 5397 +++++++++-------- pyproject.toml | 8 +- 6 files changed, 2898 insertions(+), 2624 deletions(-) diff --git a/.gitignore b/.gitignore index 798504c..f07d15c 100644 --- a/.gitignore +++ b/.gitignore @@ -166,4 +166,5 @@ dump/ **generated_images/ .ruff_cache/ **.jsonl -test.py \ No newline at end of file +test.py +inference_dataset/ \ No newline at end of file diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index f527c97..57494ca 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -21,6 +21,7 @@ def main( image_height: int = 1024, image_width: int = 1024, num_inference_steps: int = 50, + save_inference_dataset_name: Optional[str] = None, ): wandb.init(project=project, entity=entity, job_type="evaluation") weave.init(project_name=f"{entity}/{project}") @@ -36,7 +37,9 @@ def main( num_inference_steps=num_inference_steps, ) diffusion_model._pipeline.set_progress_bar_config(disable=True) - evaluation_pipeline = EvaluationPipeline(model=diffusion_model) + evaluation_pipeline = EvaluationPipeline( + model=diffusion_model, save_inference_dataset_name=save_inference_dataset_name + ) judge = OpenAIJudge( prompt_property=PromptCategory.action, openai_model=openai_judge_model diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index 5572a93..05ff9b9 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -1,14 +1,16 @@ import asyncio +import os +import shutil from abc import ABC -from typing import Dict, List, Union +from typing import Any, Dict, List, Optional, Union import wandb import weave +from PIL import Image from ..metrics.base import BaseMetric from ..models import BaseDiffusionModel, FalAIModel, StabilityAPIModel - MODEL_TYPE = Union[BaseDiffusionModel, FalAIModel, StabilityAPIModel] @@ -18,14 +20,28 @@ class EvaluationPipeline(ABC): Args: model (BaseDiffusionModel): The model to evaluate. seed (int): Seed value for the random number generator. + save_inference_dataset_name (Optional[str]): A weave dataset name which if provided will + save inference results as a separate weave dataset. """ - def __init__(self, model: MODEL_TYPE, seed: int = 42) -> None: + def __init__( + self, + model: MODEL_TYPE, + seed: int = 42, + save_inference_dataset_name: Optional[str] = None, + ) -> None: super().__init__() self.model = model self.image_size = (self.model.image_height, self.model.image_width) self.seed = seed + self.save_inference_dataset_name = save_inference_dataset_name + + if self.save_inference_dataset_name: + os.makedirs( + os.path.join("inference_dataset", self.save_inference_dataset_name), + exist_ok=True, + ) self.inference_counter = 1 self.table_columns = ["model", "prompt", "generated_image"] @@ -73,6 +89,14 @@ def infer(self, prompt: str) -> Dict[str, str]: self.table_rows.append( [self.model.diffusion_model_name_or_path, prompt, output["image"]] ) + if self.save_inference_dataset_name: + output["image"].save( + os.path.join( + "inference_dataset", + self.save_inference_dataset_name, + f"{self.inference_counter - 1}.png", + ) + ) return output @weave.op() @@ -107,6 +131,24 @@ def log_summary(self, summary: Dict[str, float]) -> None: } ) + def save_inference_results(self, dataset: Any): + inference_dataset_rows = [] + for idx, row in enumerate(dataset): + generated_image = Image.open( + os.path.join( + "inference_dataset", self.save_inference_dataset_name, f"{idx}.png" + ) + ) + inference_dataset_rows.append( + {"generated_image": generated_image, "seed": self.seed, **dict(row)} + ) + weave.publish( + weave.Dataset( + name=self.save_inference_dataset_name, rows=inference_dataset_rows + ) + ) + shutil.rmtree("inference_dataset") + def __call__( self, dataset: Union[List[Dict], str], async_infer: bool = False ) -> Dict[str, float]: @@ -128,4 +170,6 @@ def __call__( self.model.configs.update(self.evaluation_configs) summary = asyncio.run(evaluation.evaluate(self.infer_async)) self.log_summary(summary) + if self.save_inference_dataset_name: + self.save_inference_results(dataset=dataset) return summary diff --git a/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py b/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py index c340058..b3fbd75 100644 --- a/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py +++ b/hemm/metrics/vqa/judges/mmllm_judges/openai_judge.py @@ -2,20 +2,14 @@ import subprocess from typing import List -import instructor import spacy import weave from openai import OpenAI from PIL import Image from pydantic import BaseModel -from .commons import ( - PromptCategory, - TaggedPromptParts, - JudgeMent, - JudgeQuestion, -) from .....utils import base64_encode_image +from .commons import JudgeMent, JudgeQuestion, PromptCategory, TaggedPromptParts class OpenAIJudgeMent(BaseModel): @@ -48,14 +42,13 @@ class OpenAIJudge(weave.Model): seed: int _nlp_pipeline: spacy.Language = None _openai_client: OpenAI = None - _instructor_openai_client: instructor.Instructor = None _total_score: int = 4 def __init__( self, prompt_pipeline: str = "en_core_web_sm", prompt_property: PromptCategory = PromptCategory.color, - openai_model: str = "gpt-4-turbo", + openai_model: str = "gpt-4o-2024-08-06", max_retries: int = 5, seed: int = 42, ): @@ -69,9 +62,6 @@ def __init__( subprocess.run(["spacy", "download", "en_core_web_sm"]) self._nlp_pipeline = spacy.load(self.prompt_pipeline) self._openai_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) - self._instructor_openai_client = instructor.from_openai( - OpenAI(api_key=os.environ["OPENAI_API_KEY"]) - ) @weave.op() def extract_prompt_parts(self, prompt: str) -> List[TaggedPromptParts]: @@ -318,27 +308,30 @@ def execute_chain_of_thought( Provide your analysis and explanation to justify the score. """ - judgement_response = self._instructor_openai_client.chat.completions.create( - model=self.openai_model, - response_model=JudgeMent, - max_retries=self.max_retries, - seed=self.seed, - messages=[ - { - "role": "system", - "content": question.judgement_question_system_prompt, - }, - { - "role": "user", - "content": [ - {"type": "text", "text": question.judgement_question}, - { - "type": "image_url", - "image_url": {"url": base64_encode_image(image)}, - }, - ], - }, - ], + judgement_response = ( + self._openai_client.beta.chat.completions.parse( + model=self.openai_model, + response_format=JudgeMent, + seed=self.seed, + messages=[ + { + "role": "system", + "content": question.judgement_question_system_prompt, + }, + { + "role": "user", + "content": [ + {"type": "text", "text": question.judgement_question}, + { + "type": "image_url", + "image_url": {"url": base64_encode_image(image)}, + }, + ], + }, + ], + ) + .choices[0] + .message.parsed ) return judgement_response diff --git a/poetry.lock b/poetry.lock index e33bbe5..275d828 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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"torchmetrics", "transformers", "wandb", "weave"] -docs = ["jupyter", "mkdocs", "mkdocs-glightbox", "mkdocs-jupyter", "mkdocs-material", "mkdocs-minify-plugin", "mkdocstrings"] - -[metadata] -lock-version = "2.0" -python-versions = "^3.10" -content-hash = "2c6f400fd4490e7e8fc60201676cf9ac075a6e840dd8739a8c0c54e29fe07e27" From 83efec82a6af7463e562f8fed8c1c31d897e6e04 Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 08:57:17 +0000 Subject: [PATCH 09/17] fix: EvaluationPipeline.save_inference_results --- hemm/eval_pipelines/eval_pipeline.py | 12 +++++++++--- hemm/metrics/spatial_relationship/analyze_prompt.py | 3 ++- .../spatial_relationship/spatial_relationship_2d.py | 3 ++- .../vqa/dataset_generator/attribute_binding.py | 3 ++- hemm/tests/test_2d_spatial_relationship_eval.py | 2 +- hemm/tests/test_disentangled_vqa.py | 2 +- hemm/tests/test_image_quality_eval.py | 2 +- hemm/tests/test_mllm_eval.py | 2 +- hemm/tests/test_prompt_alignment_eval.py | 2 +- hemm/tests/test_utils.py | 1 + pyproject.toml | 2 +- 11 files changed, 22 insertions(+), 12 deletions(-) diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index 05ff9b9..a419187 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -4,10 +4,11 @@ from abc import ABC from typing import Any, Dict, List, Optional, Union -import wandb import weave from PIL import Image +import wandb + from ..metrics.base import BaseMetric from ..models import BaseDiffusionModel, FalAIModel, StabilityAPIModel @@ -133,14 +134,19 @@ def log_summary(self, summary: Dict[str, float]) -> None: def save_inference_results(self, dataset: Any): inference_dataset_rows = [] - for idx, row in enumerate(dataset): + for idx, row in enumerate(dataset.rows): generated_image = Image.open( os.path.join( "inference_dataset", self.save_inference_dataset_name, f"{idx}.png" ) ) inference_dataset_rows.append( - {"generated_image": generated_image, "seed": self.seed, **dict(row)} + { + "generated_image": generated_image, + "seed": self.seed, + **dict(row), + "image_generation_model": self.model.model_dump(), + } ) weave.publish( weave.Dataset( diff --git a/hemm/metrics/spatial_relationship/analyze_prompt.py b/hemm/metrics/spatial_relationship/analyze_prompt.py index 5b78942..2779571 100644 --- a/hemm/metrics/spatial_relationship/analyze_prompt.py +++ b/hemm/metrics/spatial_relationship/analyze_prompt.py @@ -4,11 +4,12 @@ from typing import Dict, List, Optional import jsonlines -import wandb import weave from openai import OpenAI from weave import Dataset, Evaluation, Model +import wandb + def chunk_all_prompts(prompt_list: List[str], chunk_size: int) -> List[str]: """Chunk all prompts into smaller chunks of size `chunk_size`. diff --git a/hemm/metrics/spatial_relationship/spatial_relationship_2d.py b/hemm/metrics/spatial_relationship/spatial_relationship_2d.py index c2e89ab..dae173a 100644 --- a/hemm/metrics/spatial_relationship/spatial_relationship_2d.py +++ b/hemm/metrics/spatial_relationship/spatial_relationship_2d.py @@ -1,9 +1,10 @@ from typing import Any, Dict, List, Optional, Union -import wandb import weave from PIL import Image +import wandb + from ..base import BaseMetric from .judges import DETRSpatialRelationShipJudge from .judges.commons import BoundingBox diff --git a/hemm/metrics/vqa/dataset_generator/attribute_binding.py b/hemm/metrics/vqa/dataset_generator/attribute_binding.py index 2fa0be3..aa379fe 100644 --- a/hemm/metrics/vqa/dataset_generator/attribute_binding.py +++ b/hemm/metrics/vqa/dataset_generator/attribute_binding.py @@ -3,11 +3,12 @@ from typing import Dict, List, Optional, Union import jsonlines -import wandb import weave from openai import OpenAI from pydantic import BaseModel +import wandb + from ....utils import autogenerate_seed, str_to_json diff --git a/hemm/tests/test_2d_spatial_relationship_eval.py b/hemm/tests/test_2d_spatial_relationship_eval.py index 4e251ab..4cd3f2d 100644 --- a/hemm/tests/test_2d_spatial_relationship_eval.py +++ b/hemm/tests/test_2d_spatial_relationship_eval.py @@ -1,8 +1,8 @@ import unittest -import wandb import weave +import wandb from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline from hemm.metrics.spatial_relationship import SpatialRelationshipMetric2D from hemm.metrics.spatial_relationship.judges import ( diff --git a/hemm/tests/test_disentangled_vqa.py b/hemm/tests/test_disentangled_vqa.py index 8ff761c..669355f 100644 --- a/hemm/tests/test_disentangled_vqa.py +++ b/hemm/tests/test_disentangled_vqa.py @@ -1,8 +1,8 @@ import unittest -import wandb import weave +import wandb from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline from hemm.metrics.vqa import DisentangledVQAMetric from hemm.metrics.vqa.judges import BlipVQAJudge diff --git a/hemm/tests/test_image_quality_eval.py b/hemm/tests/test_image_quality_eval.py index 8705969..f254ee9 100644 --- a/hemm/tests/test_image_quality_eval.py +++ b/hemm/tests/test_image_quality_eval.py @@ -1,8 +1,8 @@ import unittest -import wandb import weave +import wandb from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline from hemm.metrics.image_quality import LPIPSMetric, PSNRMetric, SSIMMetric diff --git a/hemm/tests/test_mllm_eval.py b/hemm/tests/test_mllm_eval.py index 90f2fb0..415ed3b 100644 --- a/hemm/tests/test_mllm_eval.py +++ b/hemm/tests/test_mllm_eval.py @@ -1,8 +1,8 @@ import unittest -import wandb import weave +import wandb from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline from hemm.metrics.vqa import MultiModalLLMEvaluationMetric from hemm.metrics.vqa.judges.mmllm_judges import OpenAIJudge, PromptCategory diff --git a/hemm/tests/test_prompt_alignment_eval.py b/hemm/tests/test_prompt_alignment_eval.py index 9a18e19..a876455 100644 --- a/hemm/tests/test_prompt_alignment_eval.py +++ b/hemm/tests/test_prompt_alignment_eval.py @@ -1,8 +1,8 @@ import unittest -import wandb import weave +import wandb from hemm.eval_pipelines import BaseDiffusionModel, EvaluationPipeline from hemm.metrics.prompt_alignment import CLIPImageQualityScoreMetric, CLIPScoreMetric diff --git a/hemm/tests/test_utils.py b/hemm/tests/test_utils.py index 4d03aa7..583c3ae 100644 --- a/hemm/tests/test_utils.py +++ b/hemm/tests/test_utils.py @@ -1,6 +1,7 @@ import unittest import weave + from hemm.utils import publish_dataset_to_weave diff --git a/pyproject.toml b/pyproject.toml index f56469b..7686056 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ diffusers = "^0.27.2" accelerate = "^0.30.1" wandb = "^0.18.3" poetry = "^1.8.3" -weave = "^0.51.16" +weave = "^0.51.12" huggingface-hub = "^0.23.0" datasets = "^2.19.1" fal_client = "^0.5.0" From 98816587343773f0c40ae01cca6efc3dcf1d8ea7 Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 09:47:45 +0000 Subject: [PATCH 10/17] update: pin weave version to 0.15.14 --- .gitignore | 3 ++- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index f07d15c..91205df 100644 --- a/.gitignore +++ b/.gitignore @@ -167,4 +167,5 @@ dump/ .ruff_cache/ **.jsonl test.py -inference_dataset/ \ No newline at end of file +inference_dataset/ +poetry.lock \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 7686056..0075580 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ diffusers = "^0.27.2" accelerate = "^0.30.1" wandb = "^0.18.3" poetry = "^1.8.3" -weave = "^0.51.12" +weave = "0.51.14" huggingface-hub = "^0.23.0" datasets = "^2.19.1" fal_client = "^0.5.0" From 0a6f433390e56f4c6cf548b31d46e1cd5b64b28e Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 11:16:12 +0000 Subject: [PATCH 11/17] fix: inference counter in EvaluationPipeline.infer --- hemm/eval_pipelines/eval_pipeline.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index a419187..af8b189 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -44,7 +44,7 @@ def __init__( exist_ok=True, ) - self.inference_counter = 1 + self.inference_counter = 0 self.table_columns = ["model", "prompt", "generated_image"] self.table_rows: List = [] self.evaluation_table: wandb.Table = None @@ -83,9 +83,8 @@ def infer(self, prompt: str) -> Dict[str, str]: Dict[str, str]: Dictionary containing base64 encoded image to be logged as a Weave object. """ - if self.inference_counter == 1: + if self.inference_counter == 0: self.evaluation_table = wandb.Table(columns=self.table_columns) - self.inference_counter += 1 output = self.model.predict(prompt, seed=self.seed) self.table_rows.append( [self.model.diffusion_model_name_or_path, prompt, output["image"]] @@ -95,9 +94,10 @@ def infer(self, prompt: str) -> Dict[str, str]: os.path.join( "inference_dataset", self.save_inference_dataset_name, - f"{self.inference_counter - 1}.png", + f"{self.inference_counter}.png", ) ) + self.inference_counter += 1 return output @weave.op() From f0b76c423e76276f843dea348dd8e38dd2d30614 Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 11:17:06 +0000 Subject: [PATCH 12/17] migrate: uv from poerty --- pyproject.toml | 104 +- uv.lock | 2848 ++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 2891 insertions(+), 61 deletions(-) create mode 100644 uv.lock diff --git a/pyproject.toml 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a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index 57494ca..e031394 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -21,6 +21,7 @@ def main( image_height: int = 1024, image_width: int = 1024, num_inference_steps: int = 50, + mock_inference_dataset_name: Optional[str] = None, save_inference_dataset_name: Optional[str] = None, ): wandb.init(project=project, entity=entity, job_type="evaluation") @@ -38,7 +39,9 @@ def main( ) diffusion_model._pipeline.set_progress_bar_config(disable=True) evaluation_pipeline = EvaluationPipeline( - model=diffusion_model, save_inference_dataset_name=save_inference_dataset_name + model=diffusion_model, + mock_inference_dataset_name=mock_inference_dataset_name, + save_inference_dataset_name=save_inference_dataset_name, ) judge = OpenAIJudge( diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index af8b189..aa6d53c 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -21,6 +21,9 @@ class EvaluationPipeline(ABC): Args: model (BaseDiffusionModel): The model to evaluate. seed (int): Seed value for the random number generator. + mock_inference_dataset_name (Optional[str]): A weave dataset name which if provided will + mock inference results. This prevents the need for redundant generations when switching + metrics/judges with the same evaluation datset(s). save_inference_dataset_name (Optional[str]): A weave dataset name which if provided will save inference results as a separate weave dataset. """ @@ -29,6 +32,7 @@ def __init__( self, model: MODEL_TYPE, seed: int = 42, + mock_inference_dataset_name: Optional[str] = None, save_inference_dataset_name: Optional[str] = None, ) -> None: super().__init__() @@ -36,7 +40,14 @@ def __init__( self.image_size = (self.model.image_height, self.model.image_width) self.seed = seed - self.save_inference_dataset_name = save_inference_dataset_name + self.mock_inference_dataset_name = mock_inference_dataset_name + if mock_inference_dataset_name: + self.save_inference_dataset_name = None + self.mock_inference_dataset = ( + weave.ref(mock_inference_dataset_name).get().rows + ) + else: + self.save_inference_dataset_name = save_inference_dataset_name if self.save_inference_dataset_name: os.makedirs( @@ -85,7 +96,15 @@ def infer(self, prompt: str) -> Dict[str, str]: """ if self.inference_counter == 0: self.evaluation_table = wandb.Table(columns=self.table_columns) - output = self.model.predict(prompt, seed=self.seed) + output = ( + { + "image": self.mock_inference_dataset[self.inference_counter][ + "generated_image" + ] + } + if self.mock_inference_dataset_name + else self.model.predict(prompt, seed=self.seed) + ) self.table_rows.append( [self.model.diffusion_model_name_or_path, prompt, output["image"]] ) diff --git a/uv.lock b/uv.lock deleted file mode 100644 index e323f38..0000000 --- a/uv.lock +++ /dev/null @@ -1,2848 +0,0 @@ -version = 1 -requires-python = ">=3.10" -resolution-markers = [ - 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self.mock_inference_dataset = ( - weave.ref(mock_inference_dataset_name).get().rows - ) + self.mock_inference_dataset = [ + dict(row) + for row in list(weave.ref(mock_inference_dataset_name).get().rows) + ] else: self.save_inference_dataset_name = save_inference_dataset_name From 6dad9a66b9f923ee2ece836ae0897233c62adc8a Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 11:54:38 +0000 Subject: [PATCH 15/17] update: .gitignore --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 91205df..8840982 100644 --- a/.gitignore +++ b/.gitignore @@ -168,4 +168,4 @@ dump/ **.jsonl test.py inference_dataset/ -poetry.lock \ No newline at end of file +uv.lock From d8a9b912cf60d8b7d8d97150a96dff80e4457e29 Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Thu, 17 Oct 2024 12:31:28 +0000 Subject: [PATCH 16/17] update: image generation mocking in EvaluationPipeline --- .../evaluate_mllm_metric_complex.py | 6 +- hemm/eval_pipelines/eval_pipeline.py | 75 ++++++++----------- 2 files changed, 37 insertions(+), 44 deletions(-) diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py index e031394..738387b 100644 --- a/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_complex.py @@ -21,7 +21,7 @@ def main( image_height: int = 1024, image_width: int = 1024, num_inference_steps: int = 50, - mock_inference_dataset_name: Optional[str] = None, + mock_inference_dataset_address: Optional[str] = None, save_inference_dataset_name: Optional[str] = None, ): wandb.init(project=project, entity=entity, job_type="evaluation") @@ -40,7 +40,7 @@ def main( diffusion_model._pipeline.set_progress_bar_config(disable=True) evaluation_pipeline = EvaluationPipeline( model=diffusion_model, - mock_inference_dataset_name=mock_inference_dataset_name, + mock_inference_dataset_address=mock_inference_dataset_address, save_inference_dataset_name=save_inference_dataset_name, ) @@ -51,6 +51,8 @@ def main( evaluation_pipeline.add_metric(metric) evaluation_pipeline(dataset=dataset) + wandb.finish() + evaluation_pipeline.cleanup() if __name__ == "__main__": diff --git a/hemm/eval_pipelines/eval_pipeline.py b/hemm/eval_pipelines/eval_pipeline.py index 3b8f6c9..f241a4e 100644 --- a/hemm/eval_pipelines/eval_pipeline.py +++ b/hemm/eval_pipelines/eval_pipeline.py @@ -2,7 +2,7 @@ import os import shutil from abc import ABC -from typing import Any, Dict, List, Optional, Union +from typing import Dict, List, Optional, Union import weave from PIL import Image @@ -21,9 +21,9 @@ class EvaluationPipeline(ABC): Args: model (BaseDiffusionModel): The model to evaluate. seed (int): Seed value for the random number generator. - mock_inference_dataset_name (Optional[str]): A weave dataset name which if provided will - mock inference results. This prevents the need for redundant generations when switching - metrics/judges with the same evaluation datset(s). + mock_inference_dataset_address (Optional[str]): A wandb dataset artifact address which if + provided will mock inference results. This prevents the need for redundant generations + when switching metrics/judges with the same evaluation datset(s). save_inference_dataset_name (Optional[str]): A weave dataset name which if provided will save inference results as a separate weave dataset. """ @@ -32,7 +32,7 @@ def __init__( self, model: MODEL_TYPE, seed: int = 42, - mock_inference_dataset_name: Optional[str] = None, + mock_inference_dataset_address: Optional[str] = None, save_inference_dataset_name: Optional[str] = None, ) -> None: super().__init__() @@ -40,13 +40,14 @@ def __init__( self.image_size = (self.model.image_height, self.model.image_width) self.seed = seed - self.mock_inference_dataset_name = mock_inference_dataset_name - if mock_inference_dataset_name: + self.mock_inference_dataset_address = mock_inference_dataset_address + if mock_inference_dataset_address: self.save_inference_dataset_name = None - self.mock_inference_dataset = [ - dict(row) - for row in list(weave.ref(mock_inference_dataset_name).get().rows) - ] + artifact = wandb.use_artifact( + self.mock_inference_dataset_address, type="dataset" + ) + self.mock_inference_dataset_dir = artifact.download() + else: self.save_inference_dataset_name = save_inference_dataset_name @@ -97,15 +98,15 @@ def infer(self, prompt: str) -> Dict[str, str]: """ if self.inference_counter == 0: self.evaluation_table = wandb.Table(columns=self.table_columns) - output = ( - { - "image": self.mock_inference_dataset[self.inference_counter][ - "generated_image" - ] - } - if self.mock_inference_dataset_name - else self.model.predict(prompt, seed=self.seed) - ) + if self.mock_inference_dataset_address: + image = Image.open( + os.path.join( + self.mock_inference_dataset_dir, f"{self.inference_counter}.png" + ) + ) + output = {"image": image} + else: + output = self.model.predict(prompt, seed=self.seed) self.table_rows.append( [self.model.diffusion_model_name_or_path, prompt, output["image"]] ) @@ -152,28 +153,18 @@ def log_summary(self, summary: Dict[str, float]) -> None: } ) - def save_inference_results(self, dataset: Any): - inference_dataset_rows = [] - for idx, row in enumerate(dataset.rows): - generated_image = Image.open( - os.path.join( - "inference_dataset", self.save_inference_dataset_name, f"{idx}.png" - ) - ) - inference_dataset_rows.append( - { - "generated_image": generated_image, - "seed": self.seed, - **dict(row), - "image_generation_model": self.model.model_dump(), - } - ) - weave.publish( - weave.Dataset( - name=self.save_inference_dataset_name, rows=inference_dataset_rows - ) + def save_inference_results(self): + artifact = wandb.Artifact(name=self.save_inference_dataset_name, type="dataset") + artifact.add_dir( + os.path.join("inference_dataset", self.save_inference_dataset_name) ) - shutil.rmtree("inference_dataset") + artifact.save() + + def cleanup(self): + """Cleanup the inference dataset directory. Should be called after the evaluation is complete + and `wandb.finish()` is called.""" + if os.path.exists("inference_dataset"): + shutil.rmtree("inference_dataset") def __call__( self, dataset: Union[List[Dict], str], async_infer: bool = False @@ -197,5 +188,5 @@ def __call__( summary = asyncio.run(evaluation.evaluate(self.infer_async)) self.log_summary(summary) if self.save_inference_dataset_name: - self.save_inference_results(dataset=dataset) + self.save_inference_results() return summary From 0d085d6cd23ed7efb03c2b3e70e72d0dc4fad245 Mon Sep 17 00:00:00 2001 From: Soumik Rakshit <19soumik.rakshit96@gmail.com> Date: Fri, 18 Oct 2024 08:17:51 +0000 Subject: [PATCH 17/17] update: examples --- .../evaluate_mllm_metric_action.py | 59 +++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 examples/multimodal_llm_eval/evaluate_mllm_metric_action.py diff --git a/examples/multimodal_llm_eval/evaluate_mllm_metric_action.py b/examples/multimodal_llm_eval/evaluate_mllm_metric_action.py new file mode 100644 index 0000000..738387b --- /dev/null +++ b/examples/multimodal_llm_eval/evaluate_mllm_metric_action.py @@ -0,0 +1,59 @@ +from typing import Optional + +import fire +import weave + +import wandb +from hemm.eval_pipelines import EvaluationPipeline +from hemm.metrics.vqa import MultiModalLLMEvaluationMetric +from hemm.metrics.vqa.judges.mmllm_judges import OpenAIJudge, PromptCategory +from hemm.models import BaseDiffusionModel + + +def main( + project="mllm-eval", + entity="hemm-eval", + dataset_ref: Optional[str] = "attribute_binding_dataset:v1", + dataset_limit: Optional[int] = None, + diffusion_model_address: str = "stabilityai/stable-diffusion-2-1", + diffusion_model_enable_cpu_offfload: bool = False, + openai_judge_model: str = "gpt-4o", + image_height: int = 1024, + image_width: int = 1024, + num_inference_steps: int = 50, + mock_inference_dataset_address: Optional[str] = None, + save_inference_dataset_name: Optional[str] = None, +): + wandb.init(project=project, entity=entity, job_type="evaluation") + weave.init(project_name=f"{entity}/{project}") + + dataset = weave.ref(dataset_ref).get() + dataset = dataset.rows[:dataset_limit] if dataset_limit else dataset + + diffusion_model = BaseDiffusionModel( + diffusion_model_name_or_path=diffusion_model_address, + enable_cpu_offfload=diffusion_model_enable_cpu_offfload, + image_height=image_height, + image_width=image_width, + num_inference_steps=num_inference_steps, + ) + diffusion_model._pipeline.set_progress_bar_config(disable=True) + evaluation_pipeline = EvaluationPipeline( + model=diffusion_model, + mock_inference_dataset_address=mock_inference_dataset_address, + save_inference_dataset_name=save_inference_dataset_name, + ) + + judge = OpenAIJudge( + prompt_property=PromptCategory.action, openai_model=openai_judge_model + ) + metric = MultiModalLLMEvaluationMetric(judge=judge) + evaluation_pipeline.add_metric(metric) + + evaluation_pipeline(dataset=dataset) + wandb.finish() + evaluation_pipeline.cleanup() + + +if __name__ == "__main__": + fire.Fire(main)