repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tools/merge_lora_weights_to_model.py | tools/merge_lora_weights_to_model.py | from swift.llm import merge_lora_main
if __name__ == '__main__':
merge_lora_main(replace_if_exists=True)
| python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/utils.py | logits-processor-zoo/logits_processor_zoo/utils.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/trigger_phrase.py | logits-processor-zoo/logits_processor_zoo/vllm/trigger_phrase.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/myprocessor1.py | logits-processor-zoo/logits_processor_zoo/vllm/myprocessor1.py | import torch
import math
from transformers import AutoTokenizer, AutoModelForCausalLM, LogitsProcessor, LogitsProcessorList
import os
import torch
from PIL import Image
from tqdm import tqdm
from vllm import LLM, SamplingParams
import torch
from transformers import LogitsProcessor
import math
import torch
from tra... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/last_phrase.py | logits-processor-zoo/logits_processor_zoo/vllm/last_phrase.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/generation_length.py | logits-processor-zoo/logits_processor_zoo/vllm/generation_length.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/myprocessor.py | logits-processor-zoo/logits_processor_zoo/vllm/myprocessor.py | import torch
import math
from transformers import AutoTokenizer, AutoModelForCausalLM, LogitsProcessor, LogitsProcessorList
import os
import torch
from PIL import Image
from tqdm import tqdm
from vllm import LLM, SamplingParams
import torch
from transformers import LogitsProcessor
import math
import torch
from tra... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/__init__.py | logits-processor-zoo/logits_processor_zoo/vllm/__init__.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/multiple_choice.py | logits-processor-zoo/logits_processor_zoo/vllm/multiple_choice.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/vllm/cite_prompt.py | logits-processor-zoo/logits_processor_zoo/vllm/cite_prompt.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/trtllm/last_phrase.py | logits-processor-zoo/logits_processor_zoo/trtllm/last_phrase.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/trtllm/generation_length.py | logits-processor-zoo/logits_processor_zoo/trtllm/generation_length.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/trtllm/__init__.py | logits-processor-zoo/logits_processor_zoo/trtllm/__init__.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/trtllm/multiple_choice.py | logits-processor-zoo/logits_processor_zoo/trtllm/multiple_choice.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/logits_processor_zoo/trtllm/cite_prompt.py | logits-processor-zoo/logits_processor_zoo/trtllm/cite_prompt.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/tests/test_utils.py | logits-processor-zoo/tests/test_utils.py | from logits_processor_zoo.utils import text_to_token, get_new_line_tokens, enforce_tokens
import torch
def test_text_to_token(llm_runner):
assert text_to_token(llm_runner.tokenizer, ",", last=False) == 1919
assert text_to_token(llm_runner.tokenizer, "apple, orange,", last=True) == 29892
assert text_to_tok... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/tests/conftest.py | logits-processor-zoo/tests/conftest.py | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/vllm/utils.py | logits-processor-zoo/example_notebooks/vllm/utils.py | import os
import vllm
# vLLM V1 does not currently accept logits processor so we need to disable it
# https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html#deprecated-features
os.environ["VLLM_USE_V1"] = "0"
class vLLMRunner:
def __init__(self, model_name="Qwen/Qwen2.5-1.5B-Instruct"):
self.m... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/trtllm/last_phrase_logits_processor.py | logits-processor-zoo/example_notebooks/trtllm/last_phrase_logits_processor.py | from transformers import AutoTokenizer
from logits_processor_zoo.trtllm import ForceLastPhraseLogitsProcessor
from utils import TRTLLMTester, get_parser
if __name__ == "__main__":
args = get_parser()
beam_width = 1
tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_path)
phrase = "\n\nThanks f... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/trtllm/utils.py | logits-processor-zoo/example_notebooks/trtllm/utils.py | import argparse
import datetime
from typing import List
import tensorrt_llm.bindings.executor as trtllm
# TensorRT-LLM utility functions are taken from:
# https://github.com/NVIDIA/TensorRT-LLM/blob/main/examples/bindings/executor/example_logits_processor.py
# Prepare and enqueue the requests
class TRTLLMTester:
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/trtllm/gen_length_logits_processor.py | logits-processor-zoo/example_notebooks/trtllm/gen_length_logits_processor.py | from transformers import AutoTokenizer
from logits_processor_zoo.trtllm import GenLengthLogitsProcessor
from utils import TRTLLMTester, get_parser
if __name__ == "__main__":
args = get_parser()
beam_width = 1
tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_path)
lp = GenLengthLogitsProcesso... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/trtllm/multiple_choice_logits_processor.py | logits-processor-zoo/example_notebooks/trtllm/multiple_choice_logits_processor.py | from transformers import AutoTokenizer
from logits_processor_zoo.trtllm import MultipleChoiceLogitsProcessor
from utils import TRTLLMTester, get_parser
if __name__ == "__main__":
args = get_parser()
beam_width = 1
tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_path)
lp = MultipleChoiceLogi... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/logits-processor-zoo/example_notebooks/trtllm/cite_prompt_logits_processor.py | logits-processor-zoo/example_notebooks/trtllm/cite_prompt_logits_processor.py | from transformers import AutoTokenizer
from logits_processor_zoo.trtllm import CiteFromPromptLogitsProcessor
from utils import TRTLLMTester, get_parser
if __name__ == "__main__":
args = get_parser()
beam_width = 1
tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_path)
lp = CiteFromPromptLogi... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/run.py | tests/run.py | #!/usr/bin/env python
# Copyright (c) Alibaba, Inc. and its affiliates.
import argparse
import datetime
import math
import os
import subprocess
import sys
sys.path.insert(0, '/swift')
import tempfile
import time
import unittest
from fnmatch import fnmatch
from pathlib import Path
from unittest import TextTestResult
i... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/test_utils.py | tests/test_utils.py | #!/usr/bin/env python
# Copyright (c) Alibaba, Inc. and its affiliates.
import copy
import os
import pickle
import shutil
import socket
import subprocess
import sys
import tarfile
import tempfile
import unittest
from collections import OrderedDict
from collections.abc import Mapping
from os.path import expanduser
imp... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/model_tag.py | tests/model_tag.py | # Copyright (c) Alibaba, Inc. and its affiliates.
import logging
import os
import json
import requests
from swift.version import __version__
# 打标
class ModelTag(object):
_URL = os.environ.get('MODEL_TAG_URL', None)
# 模型测试结果
BATCH_COMMIT_RESULT_URL = f'{_URL}/batchCommitResult'
# 测试阶段完成
BATCH_R... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/__init__.py | tests/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_vllm.py | tests/custom/test_vllm.py | def test_vllm():
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
from swift.llm import (ModelType, get_vllm_engine, get_default_template_type, get_template, inference_vllm,
inference_stream_vllm)
model_type = ModelType.qwen_7b_chat
llm_engine = get_vllm_engine(model_t... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_lmdeploy_vlm.py | tests/custom/test_lmdeploy_vlm.py | def test_lmdeploy_vlm():
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
from swift.llm import (ModelType, get_lmdeploy_engine, get_default_template_type, get_template, inference_lmdeploy,
inference_stream_lmdeploy)
model_type = ModelType.deepseek_vl_1_3b_chat
lmdeplo... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_vllm_vlm.py | tests/custom/test_vllm_vlm.py | def test_vllm_vlm():
import os
import vllm
from packaging import version
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
assert version.parse(vllm.__version__) >= version.parse('0.5.1')
from swift.llm import (ModelType, get_vllm_engine, get_default_template_type, get_template, inference_vllm,
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_pt_vlm.py | tests/custom/test_pt_vlm.py | def test_pt_vlm():
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
from swift.llm import (ModelType, get_model_tokenizer, get_default_template_type, get_template, inference,
inference_stream)
model_type = ModelType.internvl2_2b
model, tokenizer = get_model_tokenizer(mo... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_lmdeploy.py | tests/custom/test_lmdeploy.py | def test_lmdeploy():
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
from swift.llm import (ModelType, get_lmdeploy_engine, get_default_template_type, get_template, inference_lmdeploy,
inference_stream_lmdeploy)
model_type = ModelType.qwen_7b_chat
lmdeploy_engine = ge... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_main.py | tests/custom/test_main.py | import os
def test_eval_llm():
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
from swift.llm import eval_main, EvalArguments
eval_main(EvalArguments(model_type='qwen1half-7b-chat', eval_dataset='ARC_c', infer_backend='lmdeploy'))
def test_eval_vlm():
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
from swift... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_logprobs.py | tests/custom/test_logprobs.py | def _test_client(print_logprobs: bool = False):
import requests
import time
from pprint import pprint
from swift.llm import get_model_list_client, XRequestConfig, inference_client
query = '123*234=?'
while True:
try:
model_list = get_model_list_client()
except reques... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/custom/test_megatron.py | tests/custom/test_megatron.py | import os
from swift.llm import ExportArguments, InferArguments, SftArguments, export_main, infer_main, sft_main
model_type = 'qwen1half-7b-chat'
tp = 2
def convert2megatron():
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
export_main(ExportArguments(model_type=model_type, to_megatron=True, tp=tp, dtype='bf16'))... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_rome.py | tests/tuners/test_rome.py | import os
import shutil
import tempfile
import unittest
import torch
from modelscope import AutoTokenizer, Model
from swift import Swift
from swift.tuners.rome import RomeConfig
class TestRome(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_peft.py | tests/tuners/test_peft.py | import copy
import os
import shutil
import tempfile
import unittest
import peft
import torch
from modelscope import Preprocessor
from modelscope.models.nlp.structbert import SbertConfig, SbertForSequenceClassification
from peft import PeftModel, inject_adapter_in_model
from peft.config import PeftConfigMixin
from peft... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_scetuning.py | tests/tuners/test_scetuning.py | import copy
import os
import shutil
import tempfile
import unittest
import torch
from modelscope import snapshot_download
from swift import SCETuningConfig, Swift
from swift.tuners.part import PartConfig
class TestSCETuning(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__nam... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_merged_linear.py | tests/tuners/test_merged_linear.py | import math
import unittest
import torch
from modelscope import Model, Preprocessor
from torch import nn
from swift import LoRAConfig, Swift
class TestMergedLinear(unittest.TestCase):
def test_swift_lora_forward(self):
from swift.tuners.lora import MergedLinear
def reset_parameters(self):
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_swift_restuning.py | tests/tuners/test_swift_restuning.py | import copy
import os
import shutil
import tempfile
import unittest
import torch
from modelscope import snapshot_download
from swift import ResTuningConfig, Swift, SwiftModel
class TestSwiftResTuning(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__name__, self._testMethodNam... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/__init__.py | tests/tuners/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_neft.py | tests/tuners/test_neft.py | import os
import shutil
import tempfile
import unittest
import torch
from modelscope import AutoModel, Preprocessor
from peft.utils import WEIGHTS_NAME
from transformers import PreTrainedModel
from swift import LoRAConfig, Swift
from swift.tuners import NEFTuneConfig
class TestNEFT(unittest.TestCase):
def setU... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_swift_base.py | tests/tuners/test_swift_base.py | import copy
import math
import os
import re
import shutil
import tempfile
import unittest
from concurrent.futures import ThreadPoolExecutor
import peft
import torch
from modelscope import Model, Preprocessor
from modelscope.models.nlp.structbert import SbertConfig, SbertForSequenceClassification
from peft import PeftM... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_swift_device_map.py | tests/tuners/test_swift_device_map.py | import os
import shutil
import tempfile
import unittest
import torch
from modelscope import Model
from peft.utils import WEIGHTS_NAME
from swift import LoRAConfig, SwiftModel
@unittest.skip
class TestSwift(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__name__, self._testMet... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/tuners/test_extra_state_dict.py | tests/tuners/test_extra_state_dict.py | import os.path
import shutil
import tempfile
import unittest
import torch
from modelscope import Model
from swift import LoRAConfig, Swift
from swift.tuners.utils import ModulesToSaveWrapper
class TestExtraStateDict(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__name__, sel... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/utils/test_io_utils.py | tests/utils/test_io_utils.py | import os
import shutil
import tempfile
import unittest
from swift.utils import append_to_jsonl, get_logger, read_from_jsonl, write_to_jsonl
logger = get_logger()
class TestIOUtils(unittest.TestCase):
def setUp(self):
self._tmp_dir = tempfile.TemporaryDirectory()
self.tmp_dir = self._tmp_dir.na... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/utils/test_torch_utils.py | tests/utils/test_torch_utils.py | import unittest
from modelscope import Model
from swift.utils.torch_utils import find_sub_module
class TestTorchUtils(unittest.TestCase):
def test_find_sub_module(self):
model = Model.from_pretrained('damo/nlp_structbert_sentence-similarity_chinese-base')
self.assertTrue(find_sub_module(model, ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/utils/__init__.py | tests/utils/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_run2.py | tests/llm/test_run2.py | if __name__ == '__main__':
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
import os
import shutil
import tempfile
import unittest
import torch
from swift import get_logger
from swift.llm import DatasetName, InferArguments, ModelType, SftArguments, i... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_run.py | tests/llm/test_run.py | if __name__ == '__main__':
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
import os
import shutil
import tempfile
import time
import unittest
from functools import partial
from typing import Any, Dict, List
import torch
import transformers
from datas... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_utils.py | tests/llm/test_utils.py | import os
import unittest
from swift.llm import (ModelType, get_default_template_type, get_model_tokenizer, get_template, inference,
inference_stream, limit_history_length, print_example)
from swift.utils import lower_bound, seed_everything
class TestLlmUtils(unittest.TestCase):
def test_... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_ollama_export.py | tests/llm/test_ollama_export.py | import os
import shutil
import tempfile
import unittest
import transformers
from packaging import version
from swift.llm import ExportArguments, export_main
if __name__ == '__main__':
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
class TestTemplate(unittest.TestCase):
def setUp(self):
print(('Testing %... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_template.py | tests/llm/test_template.py | import unittest
import json
import torch
from modelscope import GenerationConfig
from swift.llm import (TEMPLATE_MAPPING, ModelType, Template, get_default_template_type, get_model_tokenizer,
get_template, inference, messages_to_history)
if __name__ == '__main__':
import os
os.environ['... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/__init__.py | tests/llm/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_vllm_utils.py | tests/llm/test_vllm_utils.py | import os
import unittest
import torch
from swift.llm.utils import *
from swift.utils import lower_bound, seed_everything
SKPT_TEST = True
class TestVllmUtils(unittest.TestCase):
@unittest.skipIf(SKPT_TEST, 'To avoid citest error: OOM')
def test_inference_vllm(self):
model_type = ModelType.qwen_7b... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/llm/test_dataset.py | tests/llm/test_dataset.py | import tempfile
import unittest
from datasets import Dataset as HfDataset
from swift.llm import DatasetName, get_dataset
class TestDataset(unittest.TestCase):
def test_load_v_dataset(self):
if not __name__ == '__main__':
# ignore citest error in github
return
for ds in ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/hub/__init__.py | tests/hub/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/tests/hub/test_check_model.py | tests/hub/test_check_model.py | import os
import shutil
import tempfile
import unittest
from modelscope import Model
from swift.hub.check_model import check_local_model_is_latest
class TestCheckModel(unittest.TestCase):
def setUp(self):
print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
self.tmp_dir = temp... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/transform_vision_model_config.py | Baselines_AIGI/transform_vision_model_config.py | """
Enhanced transform_vision_model.py with configuration file support.
Replaces the vision model in LLaVA with a trained visual encoder.
"""
import os
import argparse
from config_loader import ConfigLoader, create_argument_parser, load_config_from_args
from transformers import CLIPVisionModel, CLIPImageProcessor, Lla... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/util.py | Baselines_AIGI/util.py | import sys
import os
import torch
def mkdirs(paths):
if isinstance(paths, list) and not isinstance(paths, str):
for path in paths:
mkdir(path)
else:
mkdir(paths)
def mkdir(path):
if not os.path.exists(path):
os.makedirs(path)
def unnormalize(tens, mean=[0.485, 0.456... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models.py | Baselines_AIGI/models.py | import torch
import torch.nn as nn
import clip
class Hook:
def __init__(self, name, module):
self.name = name
self.hook = module.register_forward_hook(self.hook_fn)
def hook_fn(self, module, input, output):
self.input = input
self.output = output
def close(self):
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/validate.py | Baselines_AIGI/validate.py | import torch
import numpy as np
from networks.resnet import resnet50
from sklearn.metrics import average_precision_score, precision_recall_curve, accuracy_score
from options.test_options import TestOptions
from data import create_dataloader
def validate(model, opt):
data_loader = create_dataloader(opt)
with ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/test_huggingface.py | Baselines_AIGI/test_huggingface.py | import os
import sys
import time
import torch
import torch.nn
import argparse
from PIL import Image
import torch.nn as nn
from tensorboardX import SummaryWriter
import numpy as np
from validate import validate, validate4huggingface
from data import create_dataloader
from networks.trainer import Trainer
from options.tra... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/config_loader.py | Baselines_AIGI/config_loader.py | """
Configuration loader for AIGC Detection project.
Loads configuration from YAML files and provides easy access to parameters.
"""
import yaml
import os
import argparse
from typing import Dict, Any, Optional
from pathlib import Path
class ConfigLoader:
"""
Configuration loader that handles YAML configurati... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/train_with_config.py | Baselines_AIGI/train_with_config.py | """
Unified training script with configuration support.
Supports visual pretraining and automatic model conversion.
"""
import os
import sys
import time
import torch
import torch.nn
import argparse
from PIL import Image
from tensorboardX import SummaryWriter
import numpy as np
from validate import validate
from data i... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/convert_weight2hf_config.py | Baselines_AIGI/convert_weight2hf_config.py | """
Enhanced convert_weight2hf.py with configuration file support.
Converts trained models to HuggingFace format for easy deployment and sharing.
"""
import os
import sys
import time
import torch
import torch.nn
import argparse
from PIL import Image
from tensorboardX import SummaryWriter
import numpy as np
from valida... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/options/test_options.py | Baselines_AIGI/options/test_options.py | from .base_options import BaseOptions
class TestOptions(BaseOptions):
def initialize(self, parser):
parser = BaseOptions.initialize(self, parser)
# parser.add_argument('--dataroot')
parser.add_argument('--model_path')
parser.add_argument('--no_resize', action='store_true')
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/options/base_options.py | Baselines_AIGI/options/base_options.py | import argparse
import os
import time
import util
import torch
#import models
#import data
class BaseOptions():
def __init__(self):
self.initialized = False
def initialize(self, parser):
parser.add_argument('--mode', default='binary')
parser.add_argument('--arch', type=str, default='... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/options/__init__.py | Baselines_AIGI/options/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/options/train_options.py | Baselines_AIGI/options/train_options.py | from .base_options import BaseOptions
class TrainOptions(BaseOptions):
def initialize(self, parser):
parser = BaseOptions.initialize(self, parser)
parser.add_argument('--earlystop_epoch', type=int, default=15)
parser.add_argument('--data_aug', action='store_true', help='if specified, perf... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/vision_transformer_utils.py | Baselines_AIGI/models/vision_transformer_utils.py | import math
import pathlib
import warnings
from types import FunctionType
from typing import Any, BinaryIO, List, Optional, Tuple, Union
import numpy as np
import torch
from PIL import Image, ImageColor, ImageDraw, ImageFont
__all__ = [
"make_grid",
"save_image",
"draw_bounding_boxes",
"draw_segmentat... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/vgg.py | Baselines_AIGI/models/vgg.py | import torch
import torch.nn as nn
from typing import Union, List, Dict, Any, cast
import torchvision
import torch.nn.functional as F
class VGG(torch.nn.Module):
def __init__(self, arch_type, pretrained, progress):
super().__init__()
self.layer1 = torch.nn.Sequential()
self.lay... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/vision_transformer.py | Baselines_AIGI/models/vision_transformer.py | import math
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, List, NamedTuple, Optional
import torch
import torch.nn as nn
# from .._internally_replaced_utils import load_state_dict_from_url
from .vision_transformer_misc import ConvNormActivation
from .vision_transfo... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/resnet.py | Baselines_AIGI/models/resnet.py | import torch
from torch import Tensor
import torch.nn as nn
from typing import Type, Any, Callable, Union, List, Optional
try:
from torch.hub import load_state_dict_from_url
except ImportError:
from torch.utils.model_zoo import load_url as load_state_dict_from_url
model_urls = {
'resnet18': 'https://down... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/imagenet_models.py | Baselines_AIGI/models/imagenet_models.py | from .resnet import resnet18, resnet34, resnet50, resnet101, resnet152
from .vision_transformer import vit_b_16, vit_b_32, vit_l_16, vit_l_32
from torchvision import transforms
from PIL import Image
import torch
import torch.nn as nn
model_dict = {
'resnet18': resnet18,
'resnet34': resnet34,
'resnet50'... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/vision_transformer_misc.py | Baselines_AIGI/models/vision_transformer_misc.py | from typing import Callable, List, Optional
import torch
from torch import Tensor
from .vision_transformer_utils import _log_api_usage_once
interpolate = torch.nn.functional.interpolate
# This is not in nn
class FrozenBatchNorm2d(torch.nn.Module):
"""
BatchNorm2d where the batch statistics and the affine ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip_models.py | Baselines_AIGI/models/clip_models.py | from .clip import clip
from PIL import Image
import torch.nn as nn
CHANNELS = {
"RN50" : 1024,
"ViT-L/14" : 768,
"ViT-L/14@336px" : 768
}
class CLIPModel(nn.Module):
def __init__(self, name, num_classes=1, opt=None):
super(CLIPModel, self).__init__()
self.model, self.preprocess = c... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/__init__.py | Baselines_AIGI/models/__init__.py | from .clip_models import CLIPModel
from .imagenet_models import ImagenetModel
VALID_NAMES = [
'Imagenet:resnet18',
'Imagenet:resnet34',
'Imagenet:resnet50',
'Imagenet:resnet101',
'Imagenet:resnet152',
'Imagenet:vgg11',
'Imagenet:vgg19',
'Imagenet:swin-b',
'Imagenet:swin-s',
'Im... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/model.py | Baselines_AIGI/models/clip/model.py | from collections import OrderedDict
from typing import Tuple, Union
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
import loratorch
import math
class Bottleneck(nn.Module):
expansion = 4
def __init__(self, inplanes, planes, stride=1):
super().__init__()
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/simple_tokenizer.py | Baselines_AIGI/models/clip/simple_tokenizer.py | import gzip
import html
import os
from functools import lru_cache
import ftfy
import regex as re
@lru_cache()
def default_bpe():
return os.path.join(os.path.dirname(os.path.abspath(__file__)), "bpe_simple_vocab_16e6.txt.gz")
@lru_cache()
def bytes_to_unicode():
"""
Returns list of utf-8 byte and a corr... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/__init__.py | Baselines_AIGI/models/clip/__init__.py | from .clip import *
| python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/clip.py | Baselines_AIGI/models/clip/clip.py | import hashlib
import os
import urllib
import warnings
from typing import Any, Union, List
from pkg_resources import packaging
import torch
from PIL import Image
from torchvision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
from tqdm import tqdm
from .model import build_model
from .simple_tokeni... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/loratorch/utils.py | Baselines_AIGI/models/clip/loratorch/utils.py | # ------------------------------------------------------------------------------------------
# This code is reconstructed based on loralib (https://github.com/microsoft/LoRA) by Baijiong Lin.
# ------------------------------------------------------------------------------------------
import torch
import torch.nn as ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/loratorch/__init__.py | Baselines_AIGI/models/clip/loratorch/__init__.py | name = "lora"
from .layers import *
from .utils import * | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/models/clip/loratorch/layers.py | Baselines_AIGI/models/clip/loratorch/layers.py | # ------------------------------------------------------------------------------------------
# This code is reconstructed based on loralib (https://github.com/microsoft/LoRA) by Baijiong Lin.
# ------------------------------------------------------------------------------------------
import torch
import torch.nn as ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/base_model.py | Baselines_AIGI/networks/base_model.py | # from pix2pix
import os
import torch
import torch.nn as nn
from torch.nn import init
from torch.optim import lr_scheduler
import loratorch
class BaseModel(nn.Module):
def __init__(self, opt):
super(BaseModel, self).__init__()
self.opt = opt
self.total_steps = 0
self.isTrain = opt.... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/models.py | Baselines_AIGI/networks/models.py | import torch
import torch.nn as nn
import clip
class Hook:
def __init__(self, name, module):
self.name = name
self.hook = module.register_forward_hook(self.hook_fn)
def hook_fn(self, module, input, output):
self.input = input
self.output = output
def close(self):
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/resnet.py | Baselines_AIGI/networks/resnet.py | import torch.nn as nn
import torch.utils.model_zoo as model_zoo
from torch.nn import functional as F
from typing import Any, cast, Dict, List, Optional, Union
import numpy as np
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101',
'resnet152']
model_urls = {
'resnet18': 'https://downl... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/resnet_new.py | Baselines_AIGI/networks/resnet_new.py | import torch.nn as nn
import torch.utils.model_zoo as model_zoo
__all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50_new', 'resnet101',
'resnet152']
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/trainer.py | Baselines_AIGI/networks/trainer.py | import functools
import torch
import torch.nn as nn
from networks.resnet import resnet50
from networks.resnet_new import resnet50_new
from networks.models import Model
from networks.base_model import BaseModel, init_weights
import pdb
from models import get_model
class Trainer(BaseModel):
def name(self):
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/networks/__init__.py | Baselines_AIGI/networks/__init__.py | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false | |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/data/datasets.py | Baselines_AIGI/data/datasets.py | import cv2
import numpy as np
from albumentations import Downscale, Compose, ImageCompression, GaussNoise, MotionBlur, GaussianBlur
from torchvision import transforms, datasets
import torchvision.transforms.functional as TF
from random import random, choice
from io import BytesIO
from PIL import Image
from PIL import I... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/Baselines_AIGI/data/__init__.py | Baselines_AIGI/data/__init__.py | import torch
import numpy as np
from torch.utils.data.sampler import WeightedRandomSampler
import pdb
from .datasets import dataset_folder
'''
def get_dataset(opt):
dset_lst = []
for cls in opt.classes:
root = opt.dataroot + '/' + cls
dset = dataset_folder(opt, root)
dset_lst.append(ds... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/docs/source_en/conf.py | docs/source_en/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/docs/source/conf.py | docs/source/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/swift/torchacc_utils.py | swift/torchacc_utils.py | # Copyright (c) Alibaba, Inc. and its affiliates.
import os
import sys
import types
from collections import OrderedDict
from typing import List, Optional, Tuple
import safetensors
import torch
import torch.nn.functional as F
import transformers
from packaging import version
from peft import PeftModel
from torch.utils.... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | true |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/swift/version.py | swift/version.py | # Make sure to modify __release_datetime__ to release time when making official release.
__version__ = '2.6.1'
# default release datetime for branches under active development is set
# to be a time far-far-away-into-the-future
__release_datetime__ = '2099-10-13 08:56:12'
| python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/swift/__init__.py | swift/__init__.py | # Copyright (c) Alibaba, Inc. and its affiliates.
from typing import TYPE_CHECKING
from .utils.import_utils import _LazyModule
if TYPE_CHECKING:
from .version import __version__, __release_datetime__
from .tuners import (Adapter, AdapterConfig, AdapterModule, SwiftModel, LoRA, LoRAConfig, SWIFT_MAPPING,
... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/swift/aigc/animatediff_infer.py | swift/aigc/animatediff_infer.py | # Copyright (c) Alibaba, Inc. and its affiliates.
import os
import torch
from diffusers import DDIMScheduler, MotionAdapter
from diffusers.pipelines import AnimateDiffPipeline
from diffusers.utils import export_to_gif
from swift import Swift, snapshot_download
from swift.aigc.utils import AnimateDiffInferArguments
fr... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
wyczzy/AIGI-Holmes | https://github.com/wyczzy/AIGI-Holmes/blob/bae30b9e807230255a9f3fd18c9c64c08805b427/swift/aigc/animatediff.py | swift/aigc/animatediff.py | import csv
import datetime
import inspect
import logging
import os
import random
import re
from copy import deepcopy
from types import MethodType
from typing import Dict
import numpy as np
import torch
import torch.distributed as dist
import torch.nn.functional as F
import torchvision
import torchvision.transforms as ... | python | Apache-2.0 | bae30b9e807230255a9f3fd18c9c64c08805b427 | 2026-01-05T07:09:55.123229Z | false |
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