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{
"cells": [
{
"cell_type": "markdown",
"id": "003973a6",
"metadata": {},
"source": [
"## Save model to S3 storage"
]
},
{
"cell_type": "markdown",
"id": "9ae08384",
"metadata": {},
"source": [
"### Import Caikit-NLP"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "d758b7e4-c8c1-4c7f-82a2-2cbf5e580a96",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cloning into 'caikit-nlp'...\n",
"remote: Enumerating objects: 5954, done.\u001b[K\n",
"remote: Counting objects: 100% (643/643), done.\u001b[K\n",
"remote: Compressing objects: 100% (222/222), done.\u001b[K\n",
"remote: Total 5954 (delta 444), reused 546 (delta 403), pack-reused 5311\u001b[K\n",
"Receiving objects: 100% (5954/5954), 2.56 MiB | 27.03 MiB/s, done.\n",
"Resolving deltas: 100% (4361/4361), done.\n"
]
}
],
"source": [
"!git clone https://github.com/caikit/caikit-nlp.git"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2bce9855-3ea3-48ed-b3f4-5927fc047d6a",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Processing ./caikit-nlp\n",
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"\u001b[?25hBuilding wheels for collected packages: caikit-nlp\n",
" Building wheel for caikit-nlp (pyproject.toml) ... \u001b[?25ldone\n",
"\u001b[?25h Created wheel for caikit-nlp: filename=caikit_nlp-0.4.9.dev2+gc12cb82-py3-none-any.whl size=105362 sha256=b53f539b8612cc617877ec0e663ee13a542a6753f3994459594083a1f9b9d17a\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-s8xp8dl9/wheels/c9/17/3b/9156973c813daca1cc62f7a708d527eef028b44cdbe9d52ea6\n",
"Successfully built caikit-nlp\n",
"Installing collected packages: sentencepiece, ijson, alchemy-logging, xxhash, websockets, uvloop, semver, safetensors, regex, python-multipart, python-dotenv, pydantic-core, pyarrow-hotfix, protobuf, orjson, munch, multiprocess, itsdangerous, httptools, h11, grpcio, email-validator, docstring-parser, anytree, annotated-types, alchemy-config, watchfiles, uvicorn, starlette, pydantic, py-to-proto, py-grpc-prometheus, nltk, huggingface-hub, httpcore, grpcio-reflection, grpcio-health-checking, tokenizers, sse-starlette, pydantic-settings, pydantic-extra-types, httpx, fastapi, caikit, transformers, datasets, caikit-tgis-backend, accelerate, sentence-transformers, peft, caikit-nlp\n",
" Attempting uninstall: protobuf\n",
" Found existing installation: protobuf 3.20.2\n",
" Uninstalling protobuf-3.20.2:\n",
" Successfully uninstalled protobuf-3.20.2\n",
" Attempting uninstall: grpcio\n",
" Found existing installation: grpcio 1.62.0\n",
" Uninstalling grpcio-1.62.0:\n",
" Successfully uninstalled grpcio-1.62.0\n",
" Attempting uninstall: docstring-parser\n",
" Found existing installation: docstring_parser 0.8.1\n",
" Uninstalling docstring_parser-0.8.1:\n",
" Successfully uninstalled docstring_parser-0.8.1\n",
" Attempting uninstall: pydantic\n",
" Found existing installation: pydantic 1.10.14\n",
" Uninstalling pydantic-1.10.14:\n",
" Successfully uninstalled pydantic-1.10.14\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"onnxconverter-common 1.14.0 requires protobuf==3.20.2, but you have protobuf 4.25.3 which is incompatible.\n",
"mysql-connector-python 8.0.33 requires protobuf<=3.20.3,>=3.11.0, but you have protobuf 4.25.3 which is incompatible.\n",
"kfp 1.8.22 requires protobuf<4,>=3.13.0, but you have protobuf 4.25.3 which is incompatible.\n",
"kfp 1.8.22 requires pydantic<2,>=1.8.2, but you have pydantic 2.7.1 which is incompatible.\n",
"kfp-pipeline-spec 0.1.16 requires protobuf<4,>=3.13.0, but you have protobuf 4.25.3 which is incompatible.\n",
"codeflare-torchx 0.6.0.dev2 requires docstring-parser==0.8.1, but you have docstring-parser 0.16 which is incompatible.\n",
"codeflare-sdk 0.14.1 requires pydantic<2, but you have pydantic 2.7.1 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed accelerate-0.29.3 alchemy-config-1.1.3 alchemy-logging-1.3.2 annotated-types-0.6.0 anytree-2.12.1 caikit-0.26.20 caikit-nlp-0.4.9.dev2+gc12cb82 caikit-tgis-backend-0.1.31 datasets-2.19.0 docstring-parser-0.16 email-validator-2.1.1 fastapi-0.110.2 grpcio-1.62.2 grpcio-health-checking-1.62.2 grpcio-reflection-1.62.2 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 huggingface-hub-0.22.2 ijson-3.2.3 itsdangerous-2.2.0 multiprocess-0.70.16 munch-4.0.0 nltk-3.8.1 orjson-3.10.1 peft-0.6.0 protobuf-4.25.3 py-grpc-prometheus-0.8.0 py-to-proto-0.5.2 pyarrow-hotfix-0.6 pydantic-2.7.1 pydantic-core-2.18.2 pydantic-extra-types-2.7.0 pydantic-settings-2.2.1 python-dotenv-1.0.1 python-multipart-0.0.9 regex-2024.4.16 safetensors-0.4.3 semver-3.0.2 sentence-transformers-2.3.1 sentencepiece-0.2.0 sse-starlette-2.1.0 starlette-0.37.2 tokenizers-0.19.1 transformers-4.40.1 uvicorn-0.29.0 uvloop-0.19.0 watchfiles-0.21.0 websockets-12.0 xxhash-3.4.1\n",
"\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.2.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.0\u001b[0m\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
]
}
],
"source": [
"!pip install ./caikit-nlp"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "579be6f8-fda5-451b-ac20-12f4c808b618",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"<function register_backend_type at 0x7f4aa20b7820> is still in the BETA phase and subject to change!\n"
]
}
],
"source": [
"import os\n",
"import time\n",
"import boto3\n",
"import botocore\n",
"\n",
"from transformers import AutoTokenizer, AutoModelForCausalLM\n",
"from peft import PeftModel, PeftConfig\n",
"import caikit_nlp"
]
},
{
"cell_type": "markdown",
"id": "fbf41b9e",
"metadata": {},
"source": [
"### Load model from HuggingFace Hub and save locally"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "e9f7e5b0-5265-49f3-b0f7-cba6b6bf6e5b",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"('../models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer_config.json',\n",
" '../models/opt-350m_DETOXIFY_CAUSAL_LM/special_tokens_map.json',\n",
" '../models/opt-350m_DETOXIFY_CAUSAL_LM/vocab.json',\n",
" '../models/opt-350m_DETOXIFY_CAUSAL_LM/merges.txt',\n",
" '../models/opt-350m_DETOXIFY_CAUSAL_LM/added_tokens.json',\n",
" '../models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer.json')"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"output_dir = \"../models/opt-350m_DETOXIFY_CAUSAL_LM\"\n",
"\n",
"model = AutoModelForCausalLM.from_pretrained(\"facebook/opt-350m\")\n",
"tokenizer = AutoTokenizer.from_pretrained(\"facebook/opt-350m\")\n",
"peft_model = PeftModel.from_pretrained(model, \"exyou/opt-350m_DETOXIFY_CAUSAL_LM\")\n",
"peft_model = peft_model.merge_and_unload()\n",
"\n",
"peft_model.save_pretrained(output_dir)\n",
"tokenizer.save_pretrained(output_dir)"
]
},
{
"cell_type": "markdown",
"id": "108e6ecf",
"metadata": {},
"source": [
"### Convert model to Caikit format"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "2b270421-e167-4fc4-9765-db7247357308",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Time to convert model: 9.06516 seconds\n"
]
}
],
"source": [
"input_dir = \"../models/opt-350m_DETOXIFY_CAUSAL_LM\"\n",
"\n",
"output_dir = \"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit\"\n",
"\n",
"start_time = time.time()\n",
"model = caikit_nlp.text_generation.TextGeneration.bootstrap(input_dir)\n",
"model.save(model_path=output_dir)\n",
"end_time = time.time()\n",
"print(f\"Time to convert model: {end_time - start_time:.5f} seconds\")"
]
},
{
"cell_type": "markdown",
"id": "c8de1dad",
"metadata": {},
"source": [
"### Upload Caikit model to S3 storage"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "5a5351e0-4ea3-4579-9d58-693e78b25f4d",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"aws_access_key_id = os.environ.get('AWS_ACCESS_KEY_ID')\n",
"aws_secret_access_key = os.environ.get('AWS_SECRET_ACCESS_KEY')\n",
"endpoint_url = os.environ.get('AWS_S3_ENDPOINT')\n",
"region_name = os.environ.get('AWS_DEFAULT_REGION')\n",
"bucket_name = os.environ.get('AWS_S3_BUCKET')\n",
"\n",
"session = boto3.session.Session(aws_access_key_id=aws_access_key_id,\n",
" aws_secret_access_key=aws_secret_access_key)\n",
"\n",
"s3_resource = session.resource(\n",
" 's3',\n",
" config=botocore.client.Config(signature_version='s3v4'),\n",
" endpoint_url=endpoint_url,\n",
" region_name=region_name)\n",
"\n",
"bucket = s3_resource.Bucket(bucket_name)\n",
"\n",
"\n",
"def upload_directory_to_s3(local_directory, s3_prefix):\n",
" for root, dirs, files in os.walk(local_directory):\n",
" for filename in files:\n",
" file_path = os.path.join(root, filename)\n",
" relative_path = os.path.relpath(file_path, local_directory)\n",
" s3_key = os.path.join(s3_prefix, relative_path)\n",
" print(f\"{file_path} -> {s3_key}\")\n",
" bucket.upload_file(file_path, s3_key)\n",
"\n",
"def list_objects(prefix):\n",
" filter = bucket.objects.filter(Prefix=prefix)\n",
" for obj in filter.all():\n",
" print(obj.key)"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "09403e96-7970-4456-a480-faf153fe8bb7",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"../models/opt-350m_DETOXIFY_CAUSAL_LM/model.safetensors -> models/opt-350m_DETOXIFY_CAUSAL_LM/model.safetensors\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/merges.txt -> models/opt-350m_DETOXIFY_CAUSAL_LM/merges.txt\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/config.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/special_tokens_map.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/special_tokens_map.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer_config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer_config.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/vocab.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/vocab.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM/generation_config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM/generation_config.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/config.yml -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/config.yml\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/model.safetensors -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/model.safetensors\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/merges.txt -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/merges.txt\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/config.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/special_tokens_map.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/special_tokens_map.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer_config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer_config.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/vocab.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/vocab.json\n",
"../models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/generation_config.json -> models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/generation_config.json\n"
]
}
],
"source": [
"upload_directory_to_s3(\"../models\", \"models\")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "6c478800-c961-49d2-a7cf-bc291c6eb175",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/generation_config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/merges.txt\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/model.safetensors\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/special_tokens_map.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/tokenizer_config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/artifacts/vocab.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM-caikit/config.yml\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/generation_config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/merges.txt\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/model.safetensors\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/special_tokens_map.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/tokenizer_config.json\n",
"models/opt-350m_DETOXIFY_CAUSAL_LM/vocab.json\n"
]
}
],
"source": [
"# sanity check\n",
"list_objects(\"models\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|