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fix(server): fix quantization python requirements (#708)

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OlivierDehaene 2023-07-27 12:28:10 +02:00 committed by GitHub
parent e64a65891b
commit 8bd0adb135
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6 changed files with 30 additions and 21 deletions
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14
server/poetry.lock generated
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@ -624,6 +624,14 @@ python-versions = ">=3.8"
[package.dependencies] [package.dependencies]
mpmath = ">=0.19" mpmath = ">=0.19"
[[package]]
name = "texttable"
version = "1.6.7"
description = "module to create simple ASCII tables"
category = "main"
optional = false
python-versions = "*"
[[package]] [[package]]
name = "tokenizers" name = "tokenizers"
version = "0.13.3" version = "0.13.3"
@ -810,7 +818,7 @@ bnb = ["bitsandbytes"]
[metadata] [metadata]
lock-version = "1.1" lock-version = "1.1"
python-versions = "^3.9" python-versions = "^3.9"
content-hash = "65afc4bfa07da4b1427d269fa745939da3851eaede9a8478f5a4bf5949d32cc9" content-hash = "c2e0d926748a7d420909c6bd21e17cf060bc7acdd788ae93e3ec1809a4b84529"
[metadata.files] [metadata.files]
accelerate = [ accelerate = [
@ -1484,6 +1492,10 @@ sympy = [
{file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"}, {file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
{file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"}, {file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
] ]
texttable = [
{file = "texttable-1.6.7-py2.py3-none-any.whl", hash = "sha256:b7b68139aa8a6339d2c320ca8b1dc42d13a7831a346b446cb9eb385f0c76310c"},
{file = "texttable-1.6.7.tar.gz", hash = "sha256:290348fb67f7746931bcdfd55ac7584ecd4e5b0846ab164333f0794b121760f2"},
]
tokenizers = [ tokenizers = [
{file = "tokenizers-0.13.3-cp310-cp310-macosx_10_11_x86_64.whl", hash = "sha256:f3835c5be51de8c0a092058a4d4380cb9244fb34681fd0a295fbf0a52a5fdf33"}, {file = "tokenizers-0.13.3-cp310-cp310-macosx_10_11_x86_64.whl", hash = "sha256:f3835c5be51de8c0a092058a4d4380cb9244fb34681fd0a295fbf0a52a5fdf33"},
{file = "tokenizers-0.13.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4ef4c3e821730f2692489e926b184321e887f34fb8a6b80b8096b966ba663d07"}, {file = "tokenizers-0.13.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4ef4c3e821730f2692489e926b184321e887f34fb8a6b80b8096b966ba663d07"},

1
server/pyproject.toml
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@ -28,6 +28,7 @@ tokenizers = "0.13.3"
huggingface-hub = "^0.14.1" huggingface-hub = "^0.14.1"
transformers = "4.29.2" transformers = "4.29.2"
einops = "^0.6.1" einops = "^0.6.1"
texttable = "^1.6.7"
[tool.poetry.extras] [tool.poetry.extras]
accelerate = ["accelerate"] accelerate = ["accelerate"]

1
server/requirements.txt
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@ -35,6 +35,7 @@ requests==2.31.0 ; python_version >= "3.9" and python_version < "4.0"
safetensors==0.3.1 ; python_version >= "3.9" and python_version < "4.0" safetensors==0.3.1 ; python_version >= "3.9" and python_version < "4.0"
sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "4.0" sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "4.0"
setuptools==68.0.0 ; python_version >= "3.9" and python_version < "4.0" setuptools==68.0.0 ; python_version >= "3.9" and python_version < "4.0"
texttable==1.6.7 ; python_version >= "3.9" and python_version < "4.0"
tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "4.0" tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "4.0"
tqdm==4.65.0 ; python_version >= "3.9" and python_version < "4.0" tqdm==4.65.0 ; python_version >= "3.9" and python_version < "4.0"
transformers==4.29.2 ; python_version >= "3.9" and python_version < "4.0" transformers==4.29.2 ; python_version >= "3.9" and python_version < "4.0"

1
server/text_generation_server/models/flash_rw.py
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@ -61,7 +61,6 @@ class FlashRWSharded(FlashCausalLM):
if config.quantize == "gptq": if config.quantize == "gptq":
weights._set_gptq_params(model_id) weights._set_gptq_params(model_id)
model = FlashRWForCausalLM(config, weights) model = FlashRWForCausalLM(config, weights)
torch.distributed.barrier(group=self.process_group) torch.distributed.barrier(group=self.process_group)

8
server/text_generation_server/utils/gptq/quantize.py
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@ -1,18 +1,14 @@
import argparse
import time import time
import numpy as np
import torch
import torch.nn as nn import torch.nn as nn
import math import math
import json import json
import os import os
import torch
import transformers
from texttable import Texttable from texttable import Texttable
from transformers import AutoModelForCausalLM, AutoConfig, AutoTokenizer from transformers import AutoModelForCausalLM, AutoConfig, AutoTokenizer
import transformers
from huggingface_hub import HfApi from huggingface_hub import HfApi
import numpy as np
import torch
from accelerate import init_empty_weights from accelerate import init_empty_weights
from text_generation_server.utils import initialize_torch_distributed, Weights from text_generation_server.utils import initialize_torch_distributed, Weights
from text_generation_server.utils.hub import weight_files from text_generation_server.utils.hub import weight_files