From 0320c6cd33040931f28558743ab6e9fb0ba52aa6 Mon Sep 17 00:00:00 2001 From: Ekaterina Aidova Date: Mon, 27 May 2024 19:35:23 +0400 Subject: [PATCH] add nanollava notebook (#2044) CVS-142136 --- .ci/check_notebooks.py | 1 - .ci/ignore_treon_mac.txt | 1 + .ci/spellcheck/.pyspelling.wordlist.txt | 1 + .../nano-llava-multimodal-chatbot/README.md | 25 + .../nano-llava-multimodal-chatbot.ipynb | 1269 +++++++++++++++++ 5 files changed, 1296 insertions(+), 1 deletion(-) create mode 100644 notebooks/nano-llava-multimodal-chatbot/README.md create mode 100644 notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb diff --git a/.ci/check_notebooks.py b/.ci/check_notebooks.py index d34ee8504f0..0872cd2990f 100644 --- a/.ci/check_notebooks.py +++ b/.ci/check_notebooks.py @@ -44,7 +44,6 @@ def complain(message): print(f"SKIPPED: {nb_path.relative_to(NOTEBOOKS_ROOT)} for device wdget check") device_found = True for cell in notebook_json["cells"]: - if not toc_found and cell["cell_type"] == "markdown": tc_cell, tc_line = find_tc_in_cell(cell) if tc_line is not None: diff --git a/.ci/ignore_treon_mac.txt b/.ci/ignore_treon_mac.txt index ba3b1830d89..88ad7432947 100644 --- a/.ci/ignore_treon_mac.txt +++ b/.ci/ignore_treon_mac.txt @@ -71,3 +71,4 @@ notebooks/hello-npu/hello-npu.ipynb notebooks/stable-cascade-image-generation/stable-cascade-image-generation.ipynb notebooks/dynamicrafter-animating-images/dynamicrafter-animating-images.ipynb notebooks/yolov10-optimization/yolov10-optimization.ipynb +notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb diff --git a/.ci/spellcheck/.pyspelling.wordlist.txt b/.ci/spellcheck/.pyspelling.wordlist.txt index 8d3deae8a09..7b3cd597a17 100644 --- a/.ci/spellcheck/.pyspelling.wordlist.txt +++ b/.ci/spellcheck/.pyspelling.wordlist.txt @@ -452,6 +452,7 @@ MusicGen Müller Nakayosi nano +nanoLLaVA nar NAS natively diff --git a/notebooks/nano-llava-multimodal-chatbot/README.md b/notebooks/nano-llava-multimodal-chatbot/README.md new file mode 100644 index 00000000000..567aafa70db --- /dev/null +++ b/notebooks/nano-llava-multimodal-chatbot/README.md @@ -0,0 +1,25 @@ +# Visual-language assistant with LLaVA Next and OpenVINO + +[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb) + +nanoLLaVA is a "small but mighty" 1B vision-language model designed to run efficiently on edge devices. It uses [SigLIP-400m](https://huggingface.co/google/siglip-so400m-patch14-384) as Image Encoder and [Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) as LLM. +In this tutorial, we consider how to convert and run nanoLLaVA model using OpenVINO. Additionally, we will optimize model using [NNCF](https://github.com/openvinotoolkit/nncf) + +## Notebook contents +The tutorial consists from following steps: + +- Install requirements +- Download PyTorch model +- Convert model to OpenVINO Intermediate Representation (IR) +- Compress model weights using NNCF +- Prepare Inference Pipeline +- Run OpenVINO model inference +- Launch Interactive demo + +In this demonstration, you'll create interactive chatbot that can answer questions about provided image's content. + + +## Installation instructions +This is a self-contained example that relies solely on its own code.
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. +For details, please refer to [Installation Guide](../../README.md). \ No newline at end of file diff --git a/notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb b/notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb new file mode 100644 index 00000000000..00196abc8a5 --- /dev/null +++ b/notebooks/nano-llava-multimodal-chatbot/nano-llava-multimodal-chatbot.ipynb @@ -0,0 +1,1269 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "f8c4898a-b4ad-4c98-97b5-ab34e9aaa522", + "metadata": {}, + "source": [ + "# Visual-language assistant with nanoLLaVA and OpenVINO\n", + "\n", + "nanoLLaVA is a \"small but mighty\" 1B vision-language model designed to run efficiently on edge devices. It uses [SigLIP-400m](https://huggingface.co/google/siglip-so400m-patch14-384) as Image Encoder and [Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) as LLM.\n", + "In this tutorial, we consider how to convert and run nanoLLaVA model using OpenVINO. Additionally, we will optimize model using [NNCF](https://github.com/openvinotoolkit/nncf)\n", + "\n", + "#### Table of contents:\n", + "\n", + "- [Prerequisites](#Prerequisites)\n", + "- [Load PyTorch model](#Load-PyTorch-model)\n", + "- [Run PyTorch Model Inference](#Run-PyTorch-Model-Inference)\n", + "- [Convert and Optimize model](#Convert-and-Optimize-model)\n", + " - [Convert model to OpenVINO IR format](#Convert-model-to-OpenVINO-IR-format)\n", + " - [Compress Model weights to 4 and 8 bits using NNCF](#Compress-Model-weights-to-4-and-8-bits-using-NNCF)\n", + " - [Image Encoder](#Image-Encoder)\n", + " - [Text Embeddings](#Text-Embeddings)\n", + " - [Language Model](#Language-Model)\n", + "- [Prepare model inference pipeline](#Prepare-model-inference-pipeline)\n", + "- [Run OpenVINO Model Inference](#Run-OpenVINO-Model-Inference)\n", + " - [Select device](#Select-device)\n", + "- [Interactive demo](#Interactive-demo)\n", + "\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "c278ecd8-c1c4-44c0-bd17-37463dd70c4f", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "[back to top ⬆️](#Table-of-contents:)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0b2412b4-6b20-4875-8925-d77123824ef0", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[33mDEPRECATION: torchsde 0.2.5 has a non-standard dependency specifier numpy>=1.19.*; python_version >= \"3.7\". pip 24.1 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of torchsde or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n", + "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install -q \"torch>=2.1\" \"transformers>=4.40\" \"accelerate\" \"pillow\" \"gradio>=4.26\" \"openvino>=2024.1.0\" \"tqdm\" \"nncf>=2.10\" --extra-index-url https://download.pytorch.org/whl/cpu" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "2a861f18-19ef-4a29-a1ad-213811491adb", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from huggingface_hub import snapshot_download\n", + "from pathlib import Path\n", + "\n", + "model_local_dir = Path(\"nanoLLaVA\")\n", + "\n", + "if not model_local_dir.exists():\n", + " snapshot_download(repo_id=\"qnguyen3/nanoLLaVA\", local_dir=model_local_dir)\n", + "\n", + "modeling_file = model_local_dir / \"modeling_llava_qwen2.py\"\n", + "orig_modeling_file = model_local_dir / f\"orig_{modeling_file.name}\"\n", + "\n", + "\n", + "# model code depends from flash_attn package that may be problematic to load. Patch model code for avoiding import of this package\n", + "if not orig_modeling_file.exists():\n", + " modeling_file.rename(orig_modeling_file)\n", + "with orig_modeling_file.open(\"r\") as f:\n", + " content = f.read()\n", + "replacement_lines = [\n", + " (\"from flash_attn import flash_attn_func, flash_attn_varlen_func\", \"\"),\n", + " (\"from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input\", \"\"),\n", + " (' _flash_supports_window_size = \"window_size\" in list(inspect.signature(flash_attn_func).parameters)', \"pass\"),\n", + "]\n", + "\n", + "for replace_pair in replacement_lines:\n", + " content = content.replace(*replace_pair)\n", + "\n", + "with modeling_file.open(\"w\") as f:\n", + " f.write(content)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "4f902bad-37c3-4df9-95c2-4600bb1935e3", + "metadata": {}, + "source": [ + "## Load PyTorch model\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "For creating PyTorch model we should use `from_pretrained` method of `AutoModelForCausalLM` model class. Model weights are already downloaded from HuggingFace hub using `snapshot_download` function on previous step." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "750c1559-5ab5-47fc-9e50-6f9c1c39b9eb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-05-24 19:44:17.100132: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2024-05-24 19:44:17.102204: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n", + "2024-05-24 19:44:17.138090: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2024-05-24 19:44:17.869247: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + } + ], + "source": [ + "import transformers\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer\n", + "from PIL import Image\n", + "import warnings\n", + "\n", + "transformers.logging.set_verbosity_error()\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "model = AutoModelForCausalLM.from_pretrained(model_local_dir, trust_remote_code=True)\n", + "tokenizer = AutoTokenizer.from_pretrained(model_local_dir, trust_remote_code=True)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "c71a006d-8e7b-48ec-9888-f076b97fc764", + "metadata": {}, + "source": [ + "## Run PyTorch Model Inference\n", + "[back to top ⬆️](#Table-of-contents:)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "31b1f4f9-8019-40cd-8e8f-993815f8b495", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Describe this image in detail\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import torch\n", + "import requests\n", + "\n", + "prompt = \"Describe this image in detail\"\n", + "\n", + "messages = [{\"role\": \"user\", \"content\": f\"\\n{prompt}\"}]\n", + "text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n", + "\n", + "text_chunks = [tokenizer(chunk).input_ids for chunk in text.split(\"\")]\n", + "input_ids = torch.tensor(text_chunks[0] + [-200] + text_chunks[1], dtype=torch.long).unsqueeze(0)\n", + "url = \"https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/8bf7d9f2-018a-4498-bec4-55f17c273ecc\"\n", + "image = Image.open(requests.get(url, stream=True).raw)\n", + "image_tensor = model.process_images([image], model.config)\n", + "print(prompt)\n", + "image" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "10444056-25a0-42ba-946c-696b9908f092", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The image depicts a charming, white, fluffy llama standing in a fire. The llama is surrounded by a warm, orange glow that creates a vibrant and lively atmosphere. The llama is captured in the middle of a fire, with its body and tail visibly engulfed in flames. The fire appears to be quite intense, as it is being fueled by a source of fire, creating a striking contrast between the bright fire and the white llama.\n", + "The llama's face is expressive, with its small, brown eyes sparkling with curiosity and excitement. Its nose is a bright pink, adding to the overall appeal of the llama. The llama's ears are also\n" + ] + } + ], + "source": [ + "from transformers import TextStreamer\n", + "\n", + "streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)\n", + "\n", + "output_ids = model.generate(input_ids, images=image_tensor, max_new_tokens=128, use_cache=True, streamer=streamer)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "f0dfb6be-de36-4a60-98cf-acce72792697", + "metadata": {}, + "source": [ + "## Convert and Optimize model\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "Our model conversion and optimization consist of following steps:\n", + "1. Convert model to OpenVINO format and save it on disk.\n", + "2. Compress model weights using NNCF\n", + "\n", + "Let's consider each step more deeply.\n", + "\n", + "#### Convert model to OpenVINO IR format\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "Convert model to OpenVINO format using conversion helper function defined bellow. We will use [OpenVINO Model Conversion API](https://docs.openvino.ai/2024/openvino-workflow/model-preparation.html) for conversion PyTorch model to OpenVINO Intermediate Representation format. `ov.convert_model` function accepts PyTorch model instance and example input for tracing and returns ready to use OpenVINO Model object that can be compiled on device using `core.compile_model` or saved on disk for next usage with help `ov.save_model` function. Depends from generation step, model accepts different inputs and activates different parts of pipeline. For preserving the same level of flexibility, we will split model on parts: Image Encoder, Text Embeddings, Language Model and convert each part separately. \n", + "\n", + "\n", + "#### Compress Model weights to 4 and 8 bits using NNCF\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "For reducing memory consumption, weights compression optimization can be applied using [NNCF](https://github.com/openvinotoolkit/nncf). Weight compression aims to reduce the memory footprint of a model. It can also lead to significant performance improvement for large memory-bound models, such as Large Language Models (LLMs). LLMs and other models, which require extensive memory to store the weights during inference, can benefit from weight compression in the following ways:\n", + "\n", + "* enabling the inference of exceptionally large models that cannot be accommodated in the memory of the device;\n", + "\n", + "* improving the inference performance of the models by reducing the latency of the memory access when computing the operations with weights, for example, Linear layers.\n", + "\n", + "[Neural Network Compression Framework (NNCF)](https://github.com/openvinotoolkit/nncf) provides 4-bit / 8-bit mixed weight quantization as a compression method primarily designed to optimize LLMs. The main difference between weights compression and full model quantization (post-training quantization) is that activations remain floating-point in the case of weights compression which leads to a better accuracy. Weight compression for LLMs provides a solid inference performance improvement which is on par with the performance of the full model quantization. In addition, weight compression is data-free and does not require a calibration dataset, making it easy to use.\n", + "\n", + "`nncf.compress_weights` function can be used for performing weights compression. The function accepts an OpenVINO model and other compression parameters. Compared to INT8 compression, INT4 compression improves performance even more, but introduces a minor drop in prediction quality.\n", + "\n", + "More details about weights compression, can be found in [OpenVINO documentation](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).\n", + "\n", + ">**Note**: There is no speedup for INT4 compressed models on dGPU.\n", + "\n", + "Please select below whether you would like to run INT4 weight compression instead of INT8 weight compression." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9b456d9e-ea56-4d95-878e-3240f0cd842a", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "059bf911f69547378d7079a426f102fe", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Dropdown(description='Compression mode:', options=('INT4', 'INT8'), value='INT4')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import ipywidgets as widgets\n", + "\n", + "compression_mode = widgets.Dropdown(\n", + " options=[\"INT4\", \"INT8\"],\n", + " value=\"INT4\",\n", + " description=\"Compression mode:\",\n", + " disabled=False,\n", + ")\n", + "\n", + "compression_mode" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "99b0fdec-cac1-4ba9-86b4-a84f48c13492", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "INFO:nncf:NNCF initialized successfully. Supported frameworks detected: torch, tensorflow, onnx, openvino\n" + ] + } + ], + "source": [ + "import gc\n", + "import warnings\n", + "import torch\n", + "import openvino as ov\n", + "import nncf\n", + "from typing import Optional, Tuple\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "\n", + "def flattenize_inputs(inputs):\n", + " \"\"\"\n", + " Helper function for making nested inputs flattens\n", + " \"\"\"\n", + " flatten_inputs = []\n", + " for input_data in inputs:\n", + " if input_data is None:\n", + " continue\n", + " if isinstance(input_data, (list, tuple)):\n", + " flatten_inputs.extend(flattenize_inputs(input_data))\n", + " else:\n", + " flatten_inputs.append(input_data)\n", + " return flatten_inputs\n", + "\n", + "\n", + "def cleanup_torchscript_cache():\n", + " \"\"\"\n", + " Helper for removing cached model representation\n", + " \"\"\"\n", + " torch._C._jit_clear_class_registry()\n", + " torch.jit._recursive.concrete_type_store = torch.jit._recursive.ConcreteTypeStore()\n", + " torch.jit._state._clear_class_state()\n", + "\n", + "\n", + "def postprocess_converted_model(\n", + " ov_model,\n", + " example_input=None,\n", + " input_names=None,\n", + " output_names=None,\n", + " dynamic_shapes=None,\n", + "):\n", + " \"\"\"\n", + " Helper function for appling postprocessing on converted model with updating input names, shapes and output names\n", + " acording to requested specification\n", + " \"\"\"\n", + " flatten_example_inputs = flattenize_inputs(example_input) if example_input else []\n", + "\n", + " if input_names:\n", + " for inp_name, m_input, input_data in zip(input_names, ov_model.inputs, flatten_example_inputs):\n", + " input_node = m_input.get_node()\n", + " if input_node.element_type == ov.Type.dynamic:\n", + " m_input.get_node().set_element_type(ov.Type.f32)\n", + " shape = list(input_data.shape)\n", + " if dynamic_shapes is not None and inp_name in dynamic_shapes:\n", + " for k in dynamic_shapes[inp_name]:\n", + " shape[k] = -1\n", + " input_node.set_partial_shape(ov.PartialShape(shape))\n", + " m_input.get_tensor().set_names({inp_name})\n", + "\n", + " if output_names:\n", + " for out, out_name in zip(ov_model.outputs, output_names):\n", + " out.get_tensor().set_names({out_name})\n", + " ov_model.validate_nodes_and_infer_types()\n", + " return ov_model" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "28cfbd42-1ab7-46c0-92a4-4167a123b6aa", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "if compression_mode.value == \"INT4\":\n", + " ov_out_path = Path(\"ov_nanollava/INT4_compressed_weights\")\n", + " llava_wc_parameters = dict(mode=nncf.CompressWeightsMode.INT4_ASYM, group_size=128, ratio=0.8)\n", + "else:\n", + " ov_out_path = Path(\"ov_nanollava/INT8_compressed_weights\")\n", + " llava_wc_parameters = dict(mode=nncf.CompressWeightsMode.INT8)\n", + "\n", + "image_encoder_wc_parameters = dict(mode=nncf.CompressWeightsMode.INT8)\n", + "\n", + "ov_out_path.mkdir(exist_ok=True, parents=True)\n", + "model.config.save_pretrained(ov_out_path)\n", + "vision_tower = model.get_vision_tower()\n", + "if not vision_tower.is_loaded:\n", + " vision_tower.load_model()\n", + "\n", + "image_encoder_path = ov_out_path / \"image_encoder.xml\"\n", + "token_embedding_model_path = ov_out_path / \"token_embed.xml\"\n", + "model_path = ov_out_path / \"llava_with_past.xml\"\n", + "\n", + "model.eval()\n", + "model.config.use_cache = True\n", + "model.config.torchscript = True" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "509553dd-6cc2-4ffd-8561-18577bb36f0c", + "metadata": {}, + "source": [ + "### Image Encoder\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "Image Encoder is represented in nanoLLaVA by pretrained SigLIP model. Image encoder is responsible for encoding input images into embedding space." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "5c6837db", + "metadata": {}, + "outputs": [], + "source": [ + "if not image_encoder_path.exists():\n", + " model.forward = model.encode_images\n", + " with torch.no_grad():\n", + " ov_model = ov.convert_model(\n", + " model,\n", + " example_input=torch.zeros((1, 3, 384, 384)),\n", + " input=[(-1, 3, 384, 384)],\n", + " )\n", + " if image_encoder_wc_parameters is not None:\n", + " print(\"Applying weight compression to image encoder\")\n", + " ov_model = nncf.compress_weights(ov_model, **image_encoder_wc_parameters)\n", + " ov.save_model(ov_model, image_encoder_path)\n", + " cleanup_torchscript_cache()\n", + " del ov_model\n", + " gc.collect()\n", + " print(\"Image Encoder model successfully converted\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "80828a8c-36ea-4b2c-9b8e-a86a7e532c92", + "metadata": {}, + "source": [ + "### Text Embeddings\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "In LLMs, input embedding is a part of language model, but for LLaVA the first step hidden state produced by this model part should be integrated with image embeddings into common embedding space. For ability to reuse this model part and avoid introduction of extra llm model instance, we will use it separately." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0acd1c72", + "metadata": {}, + "outputs": [], + "source": [ + "if not token_embedding_model_path.exists():\n", + " with torch.no_grad():\n", + " ov_model = ov.convert_model(model.get_model().embed_tokens, example_input=torch.ones((1, 10), dtype=torch.long))\n", + " ov.save_model(ov_model, token_embedding_model_path)\n", + " cleanup_torchscript_cache()\n", + " del ov_model\n", + " gc.collect()\n", + " print(\"Token Embedding model successfully converted\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "a9397d66-c9c2-4e90-92ef-4c67a23d6309", + "metadata": {}, + "source": [ + "### Language Model\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "Language Model is responsible for generation answer in LLaVA. This part is very similar to standard LLM for text generation. Our model uses [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) as base LLM.\n", + "To optimize the generation process and use memory more efficiently, HuggingFace transformers API provides a mechanism for caching model state externally using `use_cache=True` parameter and `past_key_values` argument in inputs and outputs. With the cache, the model saves the hidden state once it has been computed. The model only computes the one for the most recently generated output token at each time step, re-using the saved ones for hidden tokens. This reduces the generation complexity from $O(n^3)$ to $O(n^2)$ for a transformer model. With this option, the model gets the previous step's hidden states (cached attention keys and values) as input and additionally provides hidden states for the current step as output. It means for all next iterations, it is enough to provide only a new token obtained from the previous step and cached key values to get the next token prediction." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "00d69af4", + "metadata": {}, + "outputs": [], + "source": [ + "if not model_path.exists():\n", + " model.forward = super(type(model), model).forward\n", + " example_input = {\"attention_mask\": torch.ones([2, 10], dtype=torch.int64), \"position_ids\": torch.tensor([[8, 9], [8, 9]], dtype=torch.int64)}\n", + "\n", + " dynamic_shapes = {\n", + " \"input_embeds\": {0: \"batch_size\", 1: \"seq_len\"},\n", + " \"attention_mask\": {0: \"batch_size\", 1: \"prev_seq_len + seq_len\"},\n", + " \"position_ids\": {0: \"batch_size\", 1: \"seq_len\"},\n", + " }\n", + " input_embeds = torch.zeros((2, 2, model.config.hidden_size))\n", + "\n", + " input_names = [\"attention_mask\", \"position_ids\"]\n", + " output_names = [\"logits\"]\n", + "\n", + " past_key_values = []\n", + " for i in range(model.config.num_hidden_layers):\n", + " kv = [torch.randn([2, model.config.num_key_value_heads, 8, model.config.hidden_size // model.config.num_attention_heads]) for _ in range(2)]\n", + " past_key_values.append(kv)\n", + " input_names.extend([f\"past_key_values.{i}.key\", f\"past_key_values.{i}.value\"])\n", + " output_names.extend([f\"present.{i}.key\", f\"present.{i}.value\"])\n", + " dynamic_shapes[input_names[-2]] = {0: \"batch_size\", 2: \"seq_len\"}\n", + " dynamic_shapes[input_names[-1]] = {0: \"batch_size\", 2: \"seq_len\"}\n", + "\n", + " example_input[\"past_key_values\"] = past_key_values\n", + " example_input[\"inputs_embeds\"] = input_embeds\n", + " input_names.append(\"inputs_embeds\")\n", + " dynamic_shapes[\"inputs_embeds\"] = {0: \"batch_size\", 1: \"seq_len\"}\n", + " ov_model = ov.convert_model(model, example_input=example_input)\n", + " ov_model = postprocess_converted_model(\n", + " ov_model, example_input=example_input.values(), input_names=input_names, output_names=output_names, dynamic_shapes=dynamic_shapes\n", + " )\n", + "\n", + " if llava_wc_parameters is not None:\n", + " print(\"Applying weight compression to second stage LLava model\")\n", + " ov_model = nncf.compress_weights(ov_model, **llava_wc_parameters)\n", + " ov.save_model(ov_model, model_path)\n", + " cleanup_torchscript_cache()\n", + " del ov_model\n", + " gc.collect()\n", + "\n", + " print(\"LLaVA model successfully converted\")\n", + "del model\n", + "gc.collect();" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "0c3913a0-1232-4bd0-a321-681adc46b529", + "metadata": {}, + "source": [ + "## Prepare model inference pipeline\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "`OVLlavaQwen2ForCausalLM` class provides ease-to-use interface for using model in generation scenario. It is based on `transformers.generation.GenerationMixin` that gives us opportunity to reuse all reach capabilities for generation implemented in HuggingFace Transformers library. More details about this interface can be found in [HuggingFace documentation](https://huggingface.co/docs/transformers/main_classes/text_generation)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "33af0b8d-d93d-4c70-9141-758d5d3a3779", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from transformers.generation import GenerationConfig, GenerationMixin\n", + "from transformers.modeling_outputs import CausalLMOutputWithPast\n", + "from transformers import AutoConfig\n", + "from transformers.image_processing_utils import BatchFeature, get_size_dict\n", + "from transformers.image_transforms import (\n", + " convert_to_rgb,\n", + " normalize,\n", + " rescale,\n", + " resize,\n", + " to_channel_dimension_format,\n", + ")\n", + "from transformers.image_utils import (\n", + " ChannelDimension,\n", + " PILImageResampling,\n", + " to_numpy_array,\n", + ")\n", + "import numpy as np\n", + "import torch\n", + "from typing import Dict\n", + "from functools import partial, reduce\n", + "\n", + "IGNORE_INDEX = -100\n", + "IMAGE_TOKEN_INDEX = -200\n", + "\n", + "\n", + "class ImageProcessor:\n", + " def __init__(\n", + " self,\n", + " image_mean=(0.5, 0.5, 0.5),\n", + " image_std=(0.5, 0.5, 0.5),\n", + " size=(384, 384),\n", + " crop_size: Dict[str, int] = None,\n", + " resample=PILImageResampling.BICUBIC,\n", + " rescale_factor=1 / 255,\n", + " data_format=ChannelDimension.FIRST,\n", + " ):\n", + " crop_size = crop_size if crop_size is not None else {\"height\": 384, \"width\": 384}\n", + " crop_size = get_size_dict(crop_size, default_to_square=True, param_name=\"crop_size\")\n", + "\n", + " self.image_mean = image_mean\n", + " self.image_std = image_std\n", + " self.size = size\n", + " self.resample = resample\n", + " self.rescale_factor = rescale_factor\n", + " self.data_format = data_format\n", + " self.crop_size = crop_size\n", + "\n", + " def preprocess(self, images, return_tensors):\n", + " if isinstance(images, Image.Image):\n", + " images = [images]\n", + " else:\n", + " assert isinstance(images, list)\n", + "\n", + " transforms = [\n", + " convert_to_rgb,\n", + " to_numpy_array,\n", + " partial(resize, size=self.size, resample=self.resample, data_format=self.data_format),\n", + " partial(rescale, scale=self.rescale_factor, data_format=self.data_format),\n", + " partial(normalize, mean=self.image_mean, std=self.image_std, data_format=self.data_format),\n", + " partial(to_channel_dimension_format, channel_dim=self.data_format, input_channel_dim=self.data_format),\n", + " ]\n", + "\n", + " images = reduce(lambda x, f: [*map(f, x)], transforms, images)\n", + " data = {\"pixel_values\": images}\n", + "\n", + " return BatchFeature(data=data, tensor_type=return_tensors)\n", + "\n", + "\n", + "class OVLlavaQwen2ForCausalLM(GenerationMixin):\n", + " def __init__(self, core, model_dir, device):\n", + " self.image_encoder = core.compile_model(model_dir / \"image_encoder.xml\", device)\n", + " self.embed_tokens = core.compile_model(model_dir / \"token_embed.xml\", device)\n", + " self.model = core.read_model(model_dir / \"llava_with_past.xml\")\n", + " self.input_names = {key.get_any_name(): idx for idx, key in enumerate(self.model.inputs)}\n", + " self.output_names = {key.get_any_name(): idx for idx, key in enumerate(self.model.outputs)}\n", + " self.key_value_input_names = [key for key in self.input_names if \"key_values\" in key]\n", + " self.key_value_output_names = [key for key in self.output_names if \"present\" in key]\n", + " compiled_model = core.compile_model(self.model, device)\n", + " self.request = compiled_model.create_infer_request()\n", + " self.config = AutoConfig.from_pretrained(model_dir)\n", + " self.generation_config = GenerationConfig.from_model_config(self.config)\n", + " self.main_input_name = \"input_ids\"\n", + " self.device = torch.device(\"cpu\")\n", + " self.num_pkv = 2\n", + " self.image_processor = ImageProcessor()\n", + "\n", + " def can_generate(self):\n", + " \"\"\"Returns True to validate the check that the model using `GenerationMixin.generate()` can indeed generate.\"\"\"\n", + " return True\n", + "\n", + " def __call__(\n", + " self,\n", + " input_ids: torch.LongTensor,\n", + " images: torch.Tensor,\n", + " attention_mask: Optional[torch.LongTensor] = None,\n", + " position_ids: Optional[torch.LongTensor] = None,\n", + " past_key_values: Optional[Tuple[Tuple[torch.FloatTensor]]] = None,\n", + " **kwargs,\n", + " ) -> CausalLMOutputWithPast:\n", + " return self.forward(input_ids, images, attention_mask, position_ids, past_key_values)\n", + "\n", + " def forward(\n", + " self,\n", + " input_ids: torch.LongTensor,\n", + " images: torch.Tensor,\n", + " attention_mask: Optional[torch.LongTensor] = None,\n", + " position_ids: Optional[torch.LongTensor] = None,\n", + " past_key_values: Optional[Tuple[Tuple[torch.FloatTensor]]] = None,\n", + " **kwargs,\n", + " ) -> CausalLMOutputWithPast:\n", + " \"\"\"General inference method\"\"\"\n", + " inputs = self.prepare_inputs_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, images)\n", + "\n", + " # Run inference\n", + " self.request.start_async(inputs, share_inputs=True)\n", + " self.request.wait()\n", + "\n", + " logits = torch.from_numpy(self.request.get_tensor(\"logits\").data)\n", + "\n", + " # Tuple of length equal to : number of layer * number of past_key_value per decoder layer (2 corresponds to the self-attention layer)\n", + " past_key_values = tuple(self.request.get_tensor(key).data for key in self.key_value_output_names)\n", + " # Tuple of tuple of length `n_layers`, with each tuple of length equal to 2 (k/v of self-attention)\n", + "\n", + " past_key_values = tuple(past_key_values[i : i + self.num_pkv] for i in range(0, len(past_key_values), self.num_pkv))\n", + " return CausalLMOutputWithPast(logits=logits, past_key_values=past_key_values)\n", + "\n", + " def prepare_inputs_for_multimodal(self, input_ids, position_ids, attention_mask, past_key_values, images):\n", + " inputs = {}\n", + " if past_key_values is None:\n", + " past_key_values = self._dummy_past_key_values(input_ids.shape[0])\n", + " else:\n", + " past_key_values = tuple(past_key_value for pkv_per_layer in past_key_values for past_key_value in pkv_per_layer)\n", + " inputs.update(zip(self.key_value_input_names, past_key_values))\n", + "\n", + " if images is None or input_ids.shape[1] == 1:\n", + " target_shape = past_key_values[-1][-1].shape[-2] + 1 if past_key_values is not None else input_ids.shape[1]\n", + " attention_mask = torch.cat(\n", + " (\n", + " attention_mask,\n", + " torch.ones((attention_mask.shape[0], target_shape - attention_mask.shape[1]), dtype=attention_mask.dtype, device=attention_mask.device),\n", + " ),\n", + " dim=1,\n", + " )\n", + " position_ids = torch.sum(attention_mask, dim=1).unsqueeze(-1) - 1\n", + " inputs_embeds = self.embed_tokens(input_ids)[0]\n", + " inputs[\"attention_mask\"] = attention_mask.numpy()\n", + " inputs[\"position_ids\"] = position_ids.numpy()\n", + " inputs[\"inputs_embeds\"] = inputs_embeds\n", + "\n", + " return inputs\n", + "\n", + " if type(images) is list or images.ndim == 5:\n", + " concat_images = torch.cat([image for image in images], dim=0)\n", + " image_features = self.encode_images(concat_images)\n", + " split_sizes = [image.shape[0] for image in images]\n", + " image_features = torch.split(image_features, split_sizes, dim=0)\n", + " image_features = [x.flatten(0, 1).to(self.device) for x in image_features]\n", + " else:\n", + " image_features = self.encode_images(images).to(self.device)\n", + "\n", + " # Let's just add dummy tensors if they do not exist,\n", + " # it is a headache to deal with None all the time.\n", + " # But it is not ideal, and if you have a better idea,\n", + " # please open an issue / submit a PR, thanks.\n", + " labels = None\n", + " _attention_mask = attention_mask\n", + " if attention_mask is None:\n", + " attention_mask = torch.ones_like(input_ids, dtype=torch.bool)\n", + " else:\n", + " attention_mask = attention_mask.bool()\n", + " if position_ids is None:\n", + " position_ids = torch.arange(0, input_ids.shape[1], dtype=torch.long, device=input_ids.device)\n", + " if labels is None:\n", + " labels = torch.full_like(input_ids, IGNORE_INDEX)\n", + "\n", + " # remove the padding using attention_mask -- TODO: double check\n", + " input_ids = [cur_input_ids[cur_attention_mask] for cur_input_ids, cur_attention_mask in zip(input_ids, attention_mask)]\n", + " labels = [cur_labels[cur_attention_mask] for cur_labels, cur_attention_mask in zip(labels, attention_mask)]\n", + "\n", + " new_input_embeds = []\n", + " new_labels = []\n", + " cur_image_idx = 0\n", + " for batch_idx, cur_input_ids in enumerate(input_ids):\n", + " num_images = (cur_input_ids == IMAGE_TOKEN_INDEX).sum()\n", + " if num_images == 0:\n", + " cur_image_features = image_features[cur_image_idx]\n", + " cur_input_embeds_1 = self.embed_tokens(cur_input_ids)\n", + " cur_input_embeds = torch.cat([cur_input_embeds_1, cur_image_features[0:0]], dim=0)\n", + " new_input_embeds.append(cur_input_embeds)\n", + " new_labels.append(labels[batch_idx])\n", + " cur_image_idx += 1\n", + " continue\n", + "\n", + " image_token_indices = [-1] + torch.where(cur_input_ids == IMAGE_TOKEN_INDEX)[0].tolist() + [cur_input_ids.shape[0]]\n", + " cur_input_ids_noim = []\n", + " cur_labels = labels[batch_idx]\n", + " cur_labels_noim = []\n", + " for i in range(len(image_token_indices) - 1):\n", + " cur_input_ids_noim.append(cur_input_ids[image_token_indices[i] + 1 : image_token_indices[i + 1]])\n", + " cur_labels_noim.append(cur_labels[image_token_indices[i] + 1 : image_token_indices[i + 1]])\n", + " split_sizes = [x.shape[0] for x in cur_labels_noim]\n", + " cur_input_embeds = torch.from_numpy(self.embed_tokens(torch.cat(cur_input_ids_noim).unsqueeze(0))[0])[0]\n", + " cur_input_embeds_no_im = torch.split(cur_input_embeds, split_sizes, dim=0)\n", + " cur_new_input_embeds = []\n", + " cur_new_labels = []\n", + "\n", + " for i in range(num_images + 1):\n", + " cur_new_input_embeds.append(cur_input_embeds_no_im[i])\n", + " cur_new_labels.append(cur_labels_noim[i])\n", + " if i < num_images:\n", + " cur_image_features = image_features[cur_image_idx]\n", + " cur_image_idx += 1\n", + " cur_new_input_embeds.append(cur_image_features)\n", + " cur_new_labels.append(torch.full((cur_image_features.shape[0],), IGNORE_INDEX, device=cur_labels.device, dtype=cur_labels.dtype))\n", + "\n", + " cur_new_input_embeds = torch.cat(cur_new_input_embeds)\n", + " cur_new_labels = torch.cat(cur_new_labels)\n", + "\n", + " new_input_embeds.append(cur_new_input_embeds)\n", + " new_labels.append(cur_new_labels)\n", + "\n", + " # Truncate sequences to max length as image embeddings can make the sequence longer\n", + " tokenizer_model_max_length = getattr(self.config, \"tokenizer_model_max_length\", None)\n", + " if tokenizer_model_max_length is not None:\n", + " new_input_embeds = [x[:tokenizer_model_max_length] for x in new_input_embeds]\n", + " new_labels = [x[:tokenizer_model_max_length] for x in new_labels]\n", + "\n", + " # Combine them\n", + " max_len = max(x.shape[0] for x in new_input_embeds)\n", + " batch_size = len(new_input_embeds)\n", + "\n", + " new_input_embeds_padded = []\n", + " new_labels_padded = torch.full((batch_size, max_len), IGNORE_INDEX, dtype=new_labels[0].dtype, device=new_labels[0].device)\n", + " attention_mask = torch.zeros((batch_size, max_len), dtype=attention_mask.dtype, device=attention_mask.device)\n", + " position_ids = torch.zeros((batch_size, max_len), dtype=position_ids.dtype, device=position_ids.device)\n", + "\n", + " for i, (cur_new_embed, cur_new_labels) in enumerate(zip(new_input_embeds, new_labels)):\n", + " cur_len = cur_new_embed.shape[0]\n", + " if getattr(self.config, \"tokenizer_padding_side\", \"right\") == \"left\":\n", + " new_input_embeds_padded.append(\n", + " torch.cat(\n", + " (torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device), cur_new_embed), dim=0\n", + " )\n", + " )\n", + " if cur_len > 0:\n", + " new_labels_padded[i, -cur_len:] = cur_new_labels\n", + " attention_mask[i, -cur_len:] = True\n", + " position_ids[i, -cur_len:] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device)\n", + " else:\n", + " new_input_embeds_padded.append(\n", + " torch.cat(\n", + " (cur_new_embed, torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device)), dim=0\n", + " )\n", + " )\n", + " if cur_len > 0:\n", + " new_labels_padded[i, :cur_len] = cur_new_labels\n", + " attention_mask[i, :cur_len] = True\n", + " position_ids[i, :cur_len] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device)\n", + "\n", + " new_input_embeds = torch.stack(new_input_embeds_padded, dim=0)\n", + " attention_mask = attention_mask.to(dtype=_attention_mask.dtype)\n", + " inputs[\"inputs_embeds\"] = new_input_embeds.numpy()\n", + " inputs[\"attention_mask\"] = attention_mask.numpy()\n", + " inputs[\"position_ids\"] = position_ids.numpy()\n", + "\n", + " return inputs\n", + "\n", + " def prepare_inputs_for_generation(self, input_ids, past_key_values=None, **kwargs):\n", + " \"\"\"\n", + " This function is used during running GenerationMixin.generate for preparing model specific inputs for\n", + " each generation step\n", + " \"\"\"\n", + " past_len = 0\n", + " if past_key_values is not None:\n", + " input_ids = input_ids[:, -1].unsqueeze(-1)\n", + " past_len = past_key_values[-1][-1].shape[-2]\n", + " attention_mask = kwargs.get(\n", + " \"attention_mask\",\n", + " torch.ones(input_ids.shape[0], input_ids.shape[1] + past_len),\n", + " )\n", + " return {\n", + " \"input_ids\": input_ids,\n", + " \"attention_mask\": attention_mask,\n", + " \"position_ids\": kwargs.get(\"position_ids\", None),\n", + " \"past_key_values\": past_key_values,\n", + " \"images\": kwargs.get(\"images\", None),\n", + " }\n", + "\n", + " def _reorder_cache(self, past_key_values: Tuple[Tuple[torch.Tensor]], beam_idx: torch.Tensor) -> Tuple[Tuple[torch.Tensor]]:\n", + " \"\"\"\n", + " This function is used to re-order the `past_key_values` cache if [`~PreTrainedModel.beam_search`] or\n", + " [`~PreTrainedModel.beam_sample`] is called.\n", + " This is required to match `past_key_values` with the correct beam_idx at every generation step.\n", + " \"\"\"\n", + "\n", + " # from transformers.models.gpt2.modeling_gpt2.GPT2LMHeadModel._reorder_cache\n", + " return tuple(tuple(np.take(past_state, beam_idx, 0) for past_state in layer_past) for layer_past in past_key_values)\n", + "\n", + " def _dummy_past_key_values(self, batch_size):\n", + " pkv = []\n", + " for input_name in self.key_value_input_names:\n", + " input_t = self.model.input(input_name)\n", + " input_shape = self.model.input(input_name).get_partial_shape()\n", + " input_shape[0] = batch_size\n", + " input_shape[2] = 0\n", + " pkv.append(ov.Tensor(input_t.get_element_type(), input_shape.get_shape()))\n", + "\n", + " return pkv\n", + "\n", + " def encode_images(self, images):\n", + " return torch.from_numpy(self.image_encoder(images)[0])\n", + "\n", + " def expand2square(self, pil_img, background_color):\n", + " width, height = pil_img.size\n", + " if width == height:\n", + " return pil_img\n", + " elif width > height:\n", + " result = Image.new(pil_img.mode, (width, width), background_color)\n", + " result.paste(pil_img, (0, (width - height) // 2))\n", + " return result\n", + " else:\n", + " result = Image.new(pil_img.mode, (height, height), background_color)\n", + " result.paste(pil_img, ((height - width) // 2, 0))\n", + " return result\n", + "\n", + " def process_images(self, images, model_cfg):\n", + " image_aspect_ratio = getattr(model_cfg, \"image_aspect_ratio\", None)\n", + " new_images = []\n", + " if image_aspect_ratio == \"pad\":\n", + " for image in images:\n", + " image = self.expand2square(image, tuple(int(x * 255) for x in self.image_processor.image_mean))\n", + " image = self.image_processor.preprocess(image, return_tensors=\"pt\")[\"pixel_values\"][0]\n", + " new_images.append(image)\n", + " else:\n", + " return self.image_processor(images, return_tensors=\"pt\")[\"pixel_values\"]\n", + " if all(x.shape == new_images[0].shape for x in new_images):\n", + " new_images = torch.stack(new_images, dim=0)\n", + " return new_images" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "5f6b170f-b878-4bc6-9155-097fc461f004", + "metadata": {}, + "source": [ + "## Run OpenVINO Model Inference\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "\n", + "### Select device\n", + "[back to top ⬆️](#Table-of-contents:)\n", + "\n", + "### Select device" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "069a6782-408d-46d1-8a49-136ba3ffdf07", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ada6ca4153534dd991dc3fb35eb41563", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Dropdown(description='Device:', index=3, options=('CPU', 'GPU.0', 'GPU.1', 'AUTO'), value='AUTO')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import ipywidgets as widgets\n", + "\n", + "core = ov.Core()\n", + "\n", + "support_devices = core.available_devices\n", + "if \"NPU\" in support_devices:\n", + " support_devices.remove(\"NPU\")\n", + "\n", + "device = widgets.Dropdown(\n", + " options=support_devices + [\"AUTO\"],\n", + " value=\"AUTO\",\n", + " description=\"Device:\",\n", + " disabled=False,\n", + ")\n", + "\n", + "device" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c185f531-e145-44f6-8802-366dc39bd83f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "ov_model = OVLlavaQwen2ForCausalLM(core, ov_out_path, device.value)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "02cd8891-236c-4a68-b5c0-2660ca387514", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The image features a white, fluffy lamb with a playful, cheerful expression. The lamb is positioned in the center of the image, and it appears to be in motion, as if it's running. The lamb's face is white and it has a cute, adorable expression. It has a pair of bright, pink eyes that are wide open, and it has a small, black nose. The lamb's ears are also white and pink, and they are quite large. The lamb's legs are white and fluffy, and it has a black hoof. The lamb's tail is also white and fluffy, and it appears to be curled up.\n" + ] + } + ], + "source": [ + "streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)\n", + "\n", + "output_ids = ov_model.generate(input_ids, images=image_tensor, max_new_tokens=128, use_cache=True, streamer=streamer)" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "49352d3a-e7e9-4cb0-82a0-b1ab74b743d0", + "metadata": {}, + "source": [ + "## Interactive demo\n", + "[back to top ⬆️](#Table-of-contents:)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "126a1a0d", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import gradio as gr\n", + "import time\n", + "from transformers import TextIteratorStreamer, StoppingCriteria\n", + "from threading import Thread\n", + "import requests\n", + "\n", + "example_image_urls = [\n", + " (\n", + " \"https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/1d6a0188-5613-418d-a1fd-4560aae1d907\",\n", + " \"bee.jpg\",\n", + " ),\n", + " (\n", + " \"https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/6cc7feeb-0721-4b5d-8791-2576ed9d2863\",\n", + " \"baklava.png\",\n", + " ),\n", + " (\"https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/dd5105d6-6a64-4935-8a34-3058a82c8d5d\", \"small.png\"),\n", + " (\"https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/1221e2a8-a6da-413a-9af6-f04d56af3754\", \"chart.png\"),\n", + "]\n", + "for url, file_name in example_image_urls:\n", + " if not Path(file_name).exists():\n", + " Image.open(requests.get(url, stream=True).raw).save(file_name)\n", + "\n", + "\n", + "class KeywordsStoppingCriteria(StoppingCriteria):\n", + " def __init__(self, keywords, tokenizer, input_ids):\n", + " self.keywords = keywords\n", + " self.keyword_ids = []\n", + " self.max_keyword_len = 0\n", + " for keyword in keywords:\n", + " cur_keyword_ids = tokenizer(keyword).input_ids\n", + " if len(cur_keyword_ids) > 1 and cur_keyword_ids[0] == tokenizer.bos_token_id:\n", + " cur_keyword_ids = cur_keyword_ids[1:]\n", + " if len(cur_keyword_ids) > self.max_keyword_len:\n", + " self.max_keyword_len = len(cur_keyword_ids)\n", + " self.keyword_ids.append(torch.tensor(cur_keyword_ids))\n", + " self.tokenizer = tokenizer\n", + " self.start_len = input_ids.shape[1]\n", + "\n", + " def call_for_batch(self, output_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> bool:\n", + " offset = min(output_ids.shape[1] - self.start_len, self.max_keyword_len)\n", + " self.keyword_ids = [keyword_id.to(output_ids.device) for keyword_id in self.keyword_ids]\n", + " for keyword_id in self.keyword_ids:\n", + " truncated_output_ids = output_ids[0, -keyword_id.shape[0] :]\n", + " if torch.equal(truncated_output_ids, keyword_id):\n", + " return True\n", + " outputs = self.tokenizer.batch_decode(output_ids[:, -offset:], skip_special_tokens=True)[0]\n", + " for keyword in self.keywords:\n", + " if keyword in outputs:\n", + " return True\n", + " return False\n", + "\n", + " def __call__(self, output_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> bool:\n", + " outputs = []\n", + " for i in range(output_ids.shape[0]):\n", + " outputs.append(self.call_for_batch(output_ids[i].unsqueeze(0), scores))\n", + " return all(outputs)\n", + "\n", + "\n", + "def bot_streaming(message, history):\n", + " messages = []\n", + " if message[\"files\"]:\n", + " image = message[\"files\"][-1][\"path\"] if isinstance(message[\"files\"][-1], dict) else message[\"files\"][-1]\n", + " else:\n", + " for _, hist in enumerate(history):\n", + " if isinstance(hist[0], tuple):\n", + " image = hist[0][0]\n", + "\n", + " if len(history) > 0 and image is not None:\n", + " messages.append({\"role\": \"user\", \"content\": f\"\\n{history[1][0]}\"})\n", + " messages.append({\"role\": \"assistant\", \"content\": history[1][1]})\n", + " for human, assistant in history[2:]:\n", + " if assistant is None:\n", + " continue\n", + " messages.append({\"role\": \"user\", \"content\": human})\n", + " messages.append({\"role\": \"assistant\", \"content\": assistant})\n", + " messages.append({\"role\": \"user\", \"content\": message[\"text\"]})\n", + " elif len(history) > 0 and image is None:\n", + " for human, assistant in history:\n", + " if assistant is None:\n", + " continue\n", + " messages.append({\"role\": \"user\", \"content\": human})\n", + " messages.append({\"role\": \"assistant\", \"content\": assistant})\n", + " messages.append({\"role\": \"user\", \"content\": message[\"text\"]})\n", + " elif len(history) == 0 and image is not None:\n", + " messages.append({\"role\": \"user\", \"content\": f\"\\n{message['text']}\"})\n", + " elif len(history) == 0 and image is None:\n", + " messages.append({\"role\": \"user\", \"content\": message[\"text\"]})\n", + "\n", + " print(messages)\n", + " image = Image.open(image).convert(\"RGB\")\n", + " text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n", + " text_chunks = [tokenizer(chunk).input_ids for chunk in text.split(\"\")]\n", + " input_ids = torch.tensor(text_chunks[0] + [-200] + text_chunks[1], dtype=torch.long).unsqueeze(0)\n", + " stop_str = \"<|im_end|>\"\n", + " keywords = [stop_str]\n", + " stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids)\n", + " streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)\n", + "\n", + " image_tensor = ov_model.process_images([image], ov_model.config)\n", + " generation_kwargs = dict(\n", + " input_ids=input_ids, images=image_tensor, streamer=streamer, max_new_tokens=128, stopping_criteria=[stopping_criteria], temperature=0.01\n", + " )\n", + " thread = Thread(target=ov_model.generate, kwargs=generation_kwargs)\n", + " thread.start()\n", + "\n", + " buffer = \"\"\n", + " for new_text in streamer:\n", + " buffer += new_text\n", + " generated_text_without_prompt = buffer[:]\n", + " time.sleep(0.04)\n", + " yield generated_text_without_prompt\n", + "\n", + "\n", + "demo = gr.ChatInterface(\n", + " fn=bot_streaming,\n", + " title=\"🚀nanoLLaVA\",\n", + " examples=[\n", + " {\"text\": \"What is on the flower?\", \"files\": [\"./bee.jpg\"]},\n", + " {\"text\": \"How to make this pastry?\", \"files\": [\"./baklava.png\"]},\n", + " {\"text\": \"What is the text saying?\", \"files\": [\"./small.png\"]},\n", + " {\"text\": \"What does the chart display?\", \"files\": [\"./chart.png\"]},\n", + " ],\n", + " description=\"Try [nanoLLaVA](https://huggingface.co/qnguyen3/nanoLLaVA) using OpenVINO in this demo. Upload an image and start chatting about it, or simply try one of the examples below. If you don't upload an image, you will receive an error.\",\n", + " stop_btn=\"Stop Generation\",\n", + " multimodal=True,\n", + ")\n", + "\n", + "# if you are launching remotely, specify server_name and server_port\n", + "# demo.launch(server_name='your server name', server_port='server port in int')\n", + "# Read more in the docs: https://gradio.app/docs/\n", + "try:\n", + " demo.launch(debug=True)\n", + "except Exception:\n", + " demo.launch(share=True, debug=True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + }, + "openvino_notebooks": { + "imageUrl": "https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/8bf7d9f2-018a-4498-bec4-55f17c273ecc", + "tags": { + "categories": [ + "Model Demos", + "AI Trends" + ], + "libraries": [], + "other": [], + "tasks": [ + "Visual Question Answering", + "Image-to-Text", + "Text Generation" + ] + } + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": { + "059bf911f69547378d7079a426f102fe": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "DropdownModel", + "state": { + "_options_labels": [ + "INT4", + "INT8" + ], + "description": "Compression mode:", + "index": 0, + "layout": "IPY_MODEL_3a3c4c6bd6154ab2b9d069a5312fec3c", + "style": "IPY_MODEL_224ef3927ca04095ba0b039755273600" + } + }, + "1709aa7ab064435da6b0b62e3f878fcb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "DescriptionStyleModel", + "state": { + "description_width": "" + } + }, + "224ef3927ca04095ba0b039755273600": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "DescriptionStyleModel", + "state": { + "description_width": "" + } + }, + "3a3c4c6bd6154ab2b9d069a5312fec3c": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "5687cd595b9d4e6aa65798a95632cc57": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "2.0.0", + "model_name": "LayoutModel", + "state": {} + }, + "ada6ca4153534dd991dc3fb35eb41563": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "DropdownModel", + "state": { + "_options_labels": [ + "CPU", + "GPU.0", + "GPU.1", + "AUTO" + ], + "description": "Device:", + "index": 3, + "layout": "IPY_MODEL_5687cd595b9d4e6aa65798a95632cc57", + "style": "IPY_MODEL_1709aa7ab064435da6b0b62e3f878fcb" + } + } + }, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}