organization string | repo_name string | base_commit string | iss_html_url string | iss_label string | title string | body string | code null | pr_html_url string | commit_html_url string | file_loc string | own_code_loc list | ass_file_loc list | other_rep_loc list | analysis dict | loctype dict | iss_has_pr int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
THUDM | ChatGLM-6B | 8633db1503fc3b0edc1d035f64aa35dce5d97969 | https://github.com/THUDM/ChatGLM-6B/issues/622 | [BUG/Help] ptuning时，指定PRE_SEQ_LEN=512，训练后，回答的问题仍旧有回答一百字左右就断了，该如何调整？ | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
训练参数如下：
PRE_SEQ_LEN=512
LR=2e-2
CUDA_VISIBLE_DEVICES=0 python3 main.py \
--do_train \
--train_file ./data/gwddc.json \
--validation_file ./data/gwddc_test.json \
--prompt_column instructio... | null | null | null | {"base_commit":"8633db1503fc3b0edc1d035f64aa35dce5d97969","files":[{"path":"ptuning\/README.md","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":n... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "4",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Doc"
} | {
"code": [
"ptuning/arguments.py"
],
"doc": [
"ptuning/README.md"
],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 34f28b2a1342fd72c2e4d4e5613855bfb9f35d34 | https://github.com/huggingface/transformers/issues/1225 | wontfix | Bert output last hidden state | ## ❓ Questions & Help
Hi,
Suppose we have an utterance of length 24 (considering special tokens) and we right-pad it with 0 to max length of 64.
If we use Bert pertained model to get the last hidden states, the output would be of size [1, 64, 768].
Can we use just the first 24 as the hidden states of the utter... | null | null | null | {"base_commit":"34f28b2a1342fd72c2e4d4e5613855bfb9f35d34","files":[{"path":"src\/transformers\/models\/bert\/modeling_bert.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,... | [] | [] | [] | {
"iss_type": "5",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"src/transformers/models/bert/modeling_bert.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
huggingface | transformers | 0e82f0cbc28b41b3d87a5e4069dc0e20bacc2494 | https://github.com/huggingface/transformers/issues/12081 | GPT2 Flax "TypeError: JAX only supports number and bool dtypes, got dtype object in array" | On GPU
```
>>> from transformers import AutoTokenizer, FlaxAutoModelForCausalLM
>>> tokenizer = AutoTokenizer.from_pretrained("gpt2-medium")
>>> model = FlaxAutoModelForCausalLM.from_pretrained("gpt2-medium")
>>> input_context = "The dog"
>>> # encode input context
>>> input_ids = tokenizer(input_context, re... | null | null | null | {"base_commit":"0e82f0cbc28b41b3d87a5e4069dc0e20bacc2494","files":[{"path":"src\/transformers\/models\/gpt2\/modeling_flax_gpt2.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":... | [
{
"Loc": {
"(None, None, None)": {
"mod": [
6,
7
]
}
},
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null,
"src/transformers/models/gpt2/tokenization_gpt2_fast.py",
"src/transformers/models/gpt2/modeling_flax_gpt2.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 322037e842e5e89080918c824998c17722df6f19 | https://github.com/huggingface/transformers/issues/10079 | Unclear error "NotImplementedError: "while saving tokenizer. How fix it? | Here is my tokenizer code and how I save it to a json file" /content/bert-datas7.json"
````
from tokenizers import normalizers
from tokenizers.normalizers import Lowercase, NFD, StripAccents
bert_tokenizer.pre_tokenizer = Whitespace()
from tokenizers.processors import TemplateProcessing
bert_tokenizer.pos... | null | null | null | {"base_commit":"322037e842e5e89080918c824998c17722df6f19","files":[{"path":"src\/transformers\/tokenization_utils_fast.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(No... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"src/transformers/tokenization_utils_fast.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 1a688709b34b10bd372e3e0860c8d39d170ebf53 | https://github.com/huggingface/transformers/issues/17201 | a memory leak in qqp prediction using bart | ### System Info
```shell
- `transformers` version: 4.19.0.dev0
- Platform: Linux-5.11.0-43-generic-x86_64-with-glibc2.17
- Python version: 3.8.10
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.10.1 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed... | null | null | null | {"base_commit":"1a688709b34b10bd372e3e0860c8d39d170ebf53","files":[{"path":"src\/transformers\/trainer.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kines... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "2\nOr\n5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"src/transformers/trainer.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | cef2e40e0f8eaad13b8d32817a48fdddc32eb2a5 | https://github.com/huggingface/transformers/issues/28435 | Skip some weights for load_in_8bit and keep them as fp16/32? | ### Feature request
Hello,
I am looking for a way to load a checkpoint where I only load some of the weights in 8 bit and keep others in 16/32 bit.
### Motivation
My motivation is for vision-language models like Llava or BLIP2 where I want to load the LLM part in 8 bit but the image encoder should stay in 1... | null | null | null | {"base_commit":"cef2e40e0f8eaad13b8d32817a48fdddc32eb2a5","files":[{"path":"src\/transformers\/modeling_utils.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'star... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"src/transformers/modeling_utils.py",
"src/transformers/utils/quantization_config.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 45d21502f0b67eb8a5ad244d469dcc0dfb7517a7 | https://github.com/huggingface/transformers/issues/653 | Different Results from version 0.4.0 to version 0.5.0 | Hi, I found the results after training is different from version 0.4.0 to version 0.5.0. I have fixed all initialization to reproduce the results. And I also test version 0.2.0 and 0.3.0, the results are the same to version 0.4.0, but from version 0.5.0 +, the results is different. I am wondering that have you trained ... | null | null | null | {"base_commit":"45d21502f0b67eb8a5ad244d469dcc0dfb7517a7","files":[{"path":"pytorch_pretrained_bert\/modeling.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'star... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"pytorch_pretrained_bert/modeling.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 1c8c2d9ab34b8c8d326db9e0608f8e54cfccb885 | https://github.com/huggingface/transformers/issues/10202 | Fast Tokenizers instantiated via vocab/merge files do not respect skip_special_tokens=True | ## Environment info
- `transformers` version: 4.3.2
- Platform: macOS-11.2.1-x86_64-i386-64bit
- Python version: 3.9.1
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
## Information
See ... | null | null | null | {"base_commit":"1c8c2d9ab34b8c8d326db9e0608f8e54cfccb885","files":[{"path":"src\/transformers\/tokenization_utils_base.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(No... | [
{
"Loc": {
"(None, None, None)": {
"mod": [
33
]
}
},
"path": null
}
] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "Cment指出用户代码问题，给出需要使用的API\n自己代码的问题 另一个issue中指出cmit\nI think this is happening because when you load it from the vocab and merge files, it doesn't know <|endoftext|> is a special token. For the skip_special_tokens to work, I believe it would be necessary to add them... | {
"code": [
"src/transformers/tokenization_utils_base.py",
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
huggingface | transformers | 5bcbdff15922b1d0eeb035879630ca61c292122a | https://github.com/huggingface/transformers/issues/32661 | bug | RoBERTa config defaults are inconsistent with fairseq implementation | ### System Info
python 3.12, transformers 4.14, latest mac os
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give detail... | null | null | null | {"base_commit":"5bcbdff15922b1d0eeb035879630ca61c292122a","files":[{"path":"src\/transformers\/models\/roberta\/configuration_roberta.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', ... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"src/transformers/models/roberta/configuration_roberta.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
geekan | MetaGPT | be56351e000a0f08562820fb04f6fdbe34d9e655 | https://github.com/geekan/MetaGPT/issues/205 | Rate Limited error | openai.error.RateLimitError: Rate limit reached for 10KTPM-200RPM in organization org-fK5bb25UFhVbebfBtfCejGc4 on tokens per min. Limit: 10000 / min. Please try again in 6ms. Contact us through our help center at help.openai.com if you continue to have issues.
Maybe a way to resume so all the runtime isn't just lost... | null | null | null | {"base_commit":"be56351e000a0f08562820fb04f6fdbe34d9e655","files":[{"path":"metagpt\/provider\/openai_api.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_ki... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"metagpt/provider/openai_api.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
geekan | MetaGPT | 8d98ce34e54eb6250f1f2cf60f5d4dd66d462a5d | https://github.com/geekan/MetaGPT/issues/1115 | The following error appears on every run | 
2024-03-27 11:15:59.019 | ERROR | metagpt.utils.common:wrapper:631 - Exception occurs, start to serialize the project, exp:
Traceback (most recent call last):
File "D:\andconda\envs\metagpt\lib\site-packages\tena... | null | null | null | {"base_commit":"8d98ce34e54eb6250f1f2cf60f5d4dd66d462a5d","files":[{"path":"metagpt\/strategy\/planner.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kines... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"metagpt/strategy/planner.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
geekan | MetaGPT | bdf9d224b5a05228897553a29214adc074fbc465 | https://github.com/geekan/MetaGPT/issues/754 | SubscriptionRunner | import asyncio
from metagpt.subscription import SubscriptionRunner
from metagpt.roles import Searcher
from metagpt.schema import Message
async def trigger():
while True:
yield Message("the latest news about OpenAI")
await asyncio.sleep(1)
async def callback(msg: Message):
print(ms... | null | null | null | {"base_commit":"bdf9d224b5a05228897553a29214adc074fbc465","files":[{"path":"metagpt\/environment.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 1... | [
{
"Loc": {
"(None, None, None)": {
"mod": [
21
]
}
},
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null,
"metagpt/environment.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
geekan | MetaGPT | f88fa9e2df09c28f867bda54ec24fa25b50be830 | https://github.com/geekan/MetaGPT/issues/178 | Specify Directory of pdf documents as Knowledge Base | Hi, how can we specify any folder which includes pdf documents as a knowledge base and create a new Role of Document Controller to extract specific information from within the documents in KB?
Any help would be highly appreciated
Thanks much appreciated | null | null | null | {"base_commit":"f88fa9e2df09c28f867bda54ec24fa25b50be830","files":[{"path":"metagpt\/document_store","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nu... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"examples/search_kb.py"
],
"doc": [
"metagpt/document_store",
"tests/metagpt/document_store"
],
"test": [],
"config": [],
"asset": []
} | null | |
fastapi | fastapi | c6aa28bea2f751a91078bd8d845133ff83f352bf | https://github.com/fastapi/fastapi/issues/5425 | question
answered
question-migrate | Error while opening swagger docs while uploading file in APIRouter | ### First Check
- [X] I added a very descriptive title to this issue.
- [X] I used the GitHub search to find a similar issue and didn't find it.
- [X] I searched the FastAPI documentation, with the integrated search.
- [X] I already searched in Google "How to X in FastAPI" and didn't find any information.
- [X] ... | null | null | null | {"base_commit":"c6aa28bea2f751a91078bd8d845133ff83f352bf","files":[{"path":"fastapi\/routing.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"fastapi/routing.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
fastapi | fastapi | 1760da0efa55585c19835d81afa8ca386036c325 | https://github.com/fastapi/fastapi/issues/3882 | question
question-migrate | Doing work after the HTTP response has been sent | ### First Check
- [X] I added a very descriptive title to this issue.
- [X] I used the GitHub search to find a similar issue and didn't find it.
- [X] I searched the FastAPI documentation, with the integrated search.
- [X] I already searched in Google "How to X in FastAPI" and didn't find any information.
- [X] I alre... | null | null | null | {"base_commit":"1760da0efa55585c19835d81afa8ca386036c325","files":[{"path":"fastapi\/background.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nul... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"fastapi/background.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
fastapi | fastapi | 78b07cb809e97f400e196ff3d89862b9d5bd5dc2 | https://github.com/fastapi/fastapi/issues/4587 | question
question-migrate | Use the raw response in Reponse classes | ### First Check
- [X] I added a very descriptive title to this issue.
- [X] I used the GitHub search to find a similar issue and didn't find it.
- [X] I searched the FastAPI documentation, with the integrated search.
- [X] I already searched in Google "How to X in FastAPI" and didn't find any information.
- [X] ... | null | null | null | {"base_commit":"78b07cb809e97f400e196ff3d89862b9d5bd5dc2","files":[{"path":"fastapi\/routing.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"fastapi/routing.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
oobabooga | text-generation-webui | 8962bb173e9bdc36eb9cf28fe9e1952b2976e781 | https://github.com/oobabooga/text-generation-webui/issues/5337 | bug | Generation slows at max context, even when truncated | ### Describe the bug
### Issue Summary
When generating, if the context is near the maximum set via n_ctx (and the truncate value in Parameters is set to match it), generation will be quite slow. This does not occur if the context is more than approximately 300-500 below the set value. It still occurs even if the n_... | null | null | null | {"base_commit":"8962bb173e9bdc36eb9cf28fe9e1952b2976e781","files":[{"path":"modules\/ui_model_menu.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui_model_menu.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
oobabooga | text-generation-webui | 07510a24149cbd6fd33df0c4a440d60b9783a18e | https://github.com/oobabooga/text-generation-webui/issues/2171 | enhancement
stale | support for fastest-inference-4bit branch of GPTQ-for-LLaMa | **Description**
There is new branch of GPTQ-for-LLaMa - fastest-inference-4bit that combines triton and cuda and people say it's much faster. It would be nice if it was supported here. I tried to compile it myself but it doesnt work with this webui because there is no llama_inference_offload.py in the new branch.
... | null | null | null | {"base_commit":"07510a24149cbd6fd33df0c4a440d60b9783a18e","files":[{"path":"modules\/GPTQ_loader.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nu... | [] | [] | [] | {
"iss_type": "4",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/GPTQ_loader.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
oobabooga | text-generation-webui | 7ddf6147accfb5b95e7dbbd7f1822cf976054a2a | https://github.com/oobabooga/text-generation-webui/issues/446 | bug | Factual answer: ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ | ### Describe the bug
I get factual answers in ?? like this Factual answer: ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇
### Is there an existing issue for this?
- [X] I have searched the existing issues
### Reproduction
Common sense questions and answers
Question: Hi
Factual answer: ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇ ⁇
### ... | null | null | null | {"base_commit":"7ddf6147accfb5b95e7dbbd7f1822cf976054a2a","files":[{"path":"download-model.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('... | [] | [] | [] | {
"iss_type": "2\n结果奇怪",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"download-model.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
oobabooga | text-generation-webui | 3609ea69e4c4461a4f998bd12cc559d5a016f328 | https://github.com/oobabooga/text-generation-webui/issues/5761 | bug | api broke: AttributeError: 'NoneType' object has no attribute 'replace' | ### Describe the bug
api calls result in
AttributeError: 'NoneType' object has no attribute 'replace'
### Is there an existing issue for this?
- [X] I have searched the existing issues
### Reproduction
install no requirements and llama-cpp-python by source then try to run curl
curl http://192.168.3.17:5000/v1/... | null | null | null | {"base_commit":"3609ea69e4c4461a4f998bd12cc559d5a016f328","files":[{"path":"modules\/chat.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nul... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/chat.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
hacksider | Deep-Live-Cam | 69d863b44ab5c7dad6eea04b7e3563f491c714a4 | https://github.com/hacksider/Deep-Live-Cam/issues/376 | Unable to select camera device through UI | It would be nice to have a way to select which camera to use. I am on Ubuntu 22.04 with a Linux laptop. Since I use an external camera and keep my laptop closed, the program is defaulting to the on-board camera.
I was unable to find a quick/easy way to change the default camera in Ubuntu, so it would be nice if the ... | null | null | null | {"base_commit":"69d863b44ab5c7dad6eea04b7e3563f491c714a4","files":[{"path":"modules\/ui.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,... | [] | [] | [] | {
"iss_type": "4",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
hacksider | Deep-Live-Cam | 080d6f5110d2e185e8ce4e10451ac96313079be2 | https://github.com/hacksider/Deep-Live-Cam/issues/315 | How to select the correct camera? | How to select the correct camera ?
Is there any method to improve the output resolution of the camera? | null | null | null | {"base_commit":"080d6f5110d2e185e8ce4e10451ac96313079be2","files":[{"path":"modules\/ui.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
hacksider | Deep-Live-Cam | 6b0cc749574d7307b2f7deedfa2a0dbb363329da | https://github.com/hacksider/Deep-Live-Cam/issues/243 | [experimental] doesn't show the camera I want.. | I'm using the `experimental` branch so I could choose the camera I wanted (OBS Virtual Camera) which is (2) but it only shows "Camera 0", so I made a test script and I was able to pull my OBS Virtual Camera using 'matplotlib',
```
(venv) (base) PS E:\deep-live-cam> python list.py
[ WARN:0@10.769] global cap_msmf.c... | null | null | null | {"base_commit":"6b0cc749574d7307b2f7deedfa2a0dbb363329da","files":[{"path":"modules\/ui.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
hacksider | Deep-Live-Cam | 513e41395687921d589fc10bbaf2f72ed579c84a | https://github.com/hacksider/Deep-Live-Cam/issues/915 | Subject: Missing ui.py file in modules directory - preventing project execution | Hi,
I'm trying to run the Deep-Live-Cam project, but I'm encountering a problem. The ui.py file is missing from the modules directory. I've tried the following:
* Cloning the repository using git clone: `git clone https://github.com/hacksider/Deep-Live-Cam.git`
* Cloning the repository using GitHub Desktop.
* D... | null | null | null | {"base_commit":"513e41395687921d589fc10bbaf2f72ed579c84a","files":[{"path":"modules\/ui.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('Pre... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "4",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
hacksider | Deep-Live-Cam | eab5ba7027db1a4d0ec97883aa7a61b55fb81dfa | https://github.com/hacksider/Deep-Live-Cam/issues/345 | Program crashes when processing with DirectML | I am using an AMD RX 6600 XT GPU with the latest drivers and attempting to run the program with DirectML. The program's UI turns white and then crashes. It works fine with CPU execution but fails with DirectML.
I already tried to reinstall onnxruntime-directml with no effect. Terminal:
(myenv) E:\Edesktop\deep-liv... | null | null | null | {"base_commit":"eab5ba7027db1a4d0ec97883aa7a61b55fb81dfa","files":[{"path":"modules\/ui.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"modules/ui.py",
"modules/core.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
Textualize | rich | 7e1928efee53da1ac7d156912df04aef83eefea5 | https://github.com/Textualize/rich/issues/1247 | Needs triage | [REQUEST] Extra caching for `get_character_cell_size` | **How would you improve Rich?**
Add a small `lru_cache` to https://github.com/willmcgugan/rich/blob/master/rich/cells.py#L28 , similar to cache one layer down for https://github.com/willmcgugan/rich/blob/master/rich/cells.py#L46
Size `4096` was plenty for what I describe below.
**What problem does it solved fo... | null | null | null | {"base_commit":"7e1928efee53da1ac7d156912df04aef83eefea5","files":[{"path":"rich\/cells.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"rich/cells.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
Textualize | rich | 5c9161d0c48254fb579827249a9ee7d88f4589b7 | https://github.com/Textualize/rich/issues/1489 | Needs triage | [REQUEST] current item of a progress | when creating progress bars for logical items (that are then supported with additional progress pars,
i would consider it helpful if it was possible to add a name/render able for the current item, and to push those in updates
i`m not yet sure how this is best expressed/implemented | null | null | null | {"base_commit":"5c9161d0c48254fb579827249a9ee7d88f4589b7","files":[{"path":"rich\/progress.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nu... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"rich/progress.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
Textualize | rich | 0aa85606ad9a7ca6b28a5ae376e433b8e59f6e80 | https://github.com/Textualize/rich/issues/2457 | bug | [BUG] Console(no_color=True) does not work on Windows 10 | You may find a solution to your problem in the [docs](https://rich.readthedocs.io/en/latest/introduction.html) or [issues](https://github.com/willmcgugan/rich/issues).
**Describe the bug**
The "no_color=True" Console parameter does not seem to do anything on Windows 10. I tested on both Cmder and native cmd.exe t... | null | null | null | {"base_commit":"0aa85606ad9a7ca6b28a5ae376e433b8e59f6e80","files":[{"path":"rich\/console.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":nul... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"rich/console.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ytdl-org | youtube-dl | 427cc215310804127b55744fcc3664ede38a4a0d | https://github.com/ytdl-org/youtube-dl/issues/21363 | question | How does youtube-dl detect advertisements? | <!--
######################################################################
WARNING!
IGNORING THE FOLLOWING TEMPLATE WILL RESULT IN ISSUE CLOSED AS INCOMPLETE
######################################################################
-->
## Checklist
<!--
Carefully read and work through this check lis... | null | null | null | {"base_commit":"427cc215310804127b55744fcc3664ede38a4a0d","files":[{"path":"youtube_dl\/downloader\/hls.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kine... | [] | [] | [] | {
"iss_type": "5",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/downloader/hls.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ytdl-org | youtube-dl | 8b7340a45eb0e3aeaa996896ff8690b6c3a32af6 | https://github.com/ytdl-org/youtube-dl/issues/15955 | use youtube-dl with cookies file in code not from command line | ## Please follow the guide below
- You will be asked some questions and requested to provide some information, please read them **carefully** and answer honestly
- Put an `x` into all the boxes [ ] relevant to your *issue* (like this: `[x]`)
- Use the *Preview* tab to see what your issue will actually look like
... | null | null | null | {"base_commit":"8b7340a45eb0e3aeaa996896ff8690b6c3a32af6","files":[{"path":"youtube_dl\/YoutubeDL.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', ... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/YoutubeDL.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
ytdl-org | youtube-dl | 267d81962a0709f15f82f96b7aadbb5473a06992 | https://github.com/ytdl-org/youtube-dl/issues/16870 | [bilibili]how can i download video on page2? | ### Make sure you are using the *latest* version: run `youtube-dl --version` and ensure your version is *2018.06.25*. If it's not, read [this FAQ entry](https://github.com/rg3/youtube-dl/blob/master/README.md#how-do-i-update-youtube-dl) and update. Issues with outdated version will be rejected.
- [x] I've **verified**... | null | null | null | {"base_commit":"267d81962a0709f15f82f96b7aadbb5473a06992","files":[{"path":"youtube_dl\/extractor\/bilibili.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/extractor/bilibili.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
ytdl-org | youtube-dl | eca1f0d115e6a2712ff0d5f6b25e3ded5e52db71 | https://github.com/ytdl-org/youtube-dl/issues/16883 | [Feature request] Network retry, with configurability | I just ran some large youtube-dl scripts, and noticed a few videos were missing finally.
This was probably due to intermittent network downtimes, and apparently youtube-dl doesn't do any network retry at all (I may be wrong).
Thus, I suggest adding an option named for example `--network-retry`, related to `--sock... | null | null | null | {"base_commit":"eca1f0d115e6a2712ff0d5f6b25e3ded5e52db71","files":[{"path":"youtube_dl\/options.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14... | [] | [] | [] | {
"iss_type": "4",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/options.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
ytdl-org | youtube-dl | 5014bd67c22b421207b2650d4dc874b95b36dda1 | https://github.com/ytdl-org/youtube-dl/issues/30539 | question | velocidad de descarga limitada | <!--
######################################################################
WARNING!
IGNORING THE FOLLOWING TEMPLATE WILL RESULT IN ISSUE CLOSED AS INCOMPLETE
######################################################################
-->
## Checklist
<!--
Carefully read and work through this check lis... | null | null | null | {"base_commit":"5014bd67c22b421207b2650d4dc874b95b36dda1","files":[{"path":"youtube_dl\/extractor\/youtube.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/extractor/youtube.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ytdl-org | youtube-dl | e90d175436e61e207e0b0cae7f699494dcf15922 | https://github.com/ytdl-org/youtube-dl/issues/9104 | Chinese title was missing ! | ```
root@kangland:/var/www/ydy# youtube-dl -v w0dMz8RBG7g
[debug] System config: []
[debug] User config: []
[debug] Command-line args: [u'-v', u'w0dMz8RBG7g']
[debug] Encodings: locale ANSI_X3.4-1968, fs ANSI_X3.4-1968, out ANSI_X3.4-1968, pref ANSI_X3.4-1968
[debug] youtube-dl version 2016.04.01
[debug] Python version... | null | null | null | {"base_commit":"e90d175436e61e207e0b0cae7f699494dcf15922","files":[{"path":"youtube_dl\/options.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"youtube_dl/options.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
OpenInterpreter | open-interpreter | dee41b6932a0d9b5569b1abf9144b7ffd8c3c7ad | https://github.com/OpenInterpreter/open-interpreter/issues/499 | Bug | raise Exception("`interpreter.chat()` requires a display. Set `display=True` or pass a message into `interpreter.chat(message)`.") | ### Describe the bug
Fresh install on ubuntu 22,
I'm using interpreter in terminal.
After sending a prompt, at some point on the answer the program crashes
```
> Traceback (most recent call last):
File "/home/fauxprophet/Documents/Ops/openai/bin/interpreter", line 8, in <module>
sys.exit(cli())
File... | null | null | null | {"base_commit":"dee41b6932a0d9b5569b1abf9144b7ffd8c3c7ad","files":[{"path":"interpreter\/core\/core.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)"... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"interpreter/core/core.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
OpenInterpreter | open-interpreter | 1bb7b19eeb4264f0d7b6410409af6f1cdbf31f3d | https://github.com/OpenInterpreter/open-interpreter/issues/15 | Error: cannot import name 'cli' from 'interpreter' | ```console
╰─$ uname -a
Linux lab 6.2.0-26-generic #26~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Jul 13 16:27:29 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
╰─$ pip --version 1 ↵
pip 22.0.2 from /usr/lib/python3/dist-packages/pip (python 3.10)
╰─$ interpreter ... | null | null | null | {"base_commit":"1bb7b19eeb4264f0d7b6410409af6f1cdbf31f3d","files":[{"path":"interpreter\/interpreter.py","status":"modified","Loc":{"(None, None, None)":{"add":null,"mod":[1]},"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(No... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"interpreter/interpreter.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
abi | screenshot-to-code | 4e30b207c1ee9ddad05a37c31a11ac5a182490b7 | https://github.com/abi/screenshot-to-code/issues/270 | Error configuring ANTHROPIC API KEY in.env file | I added "ANTHROPIC_API_KEY=s****" to the.env file
"No Anthropic API key found. Please add the environment variable ANTHROPIC_API_KEY to backend/.env"
| null | null | null | {"base_commit":"4e30b207c1ee9ddad05a37c31a11ac5a182490b7","files":[{"path":"backend\/config.py","status":"modified","Loc":{"(None, None, None)":{"add":null,"mod":[6]},"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'star... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "1",
"loc_way": "comment",
"loc_scope": "",
"info_type": "Code"
} | {
"code": [
"backend/config.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
abi | screenshot-to-code | 1f08d71d4dbc614b6b2eaaddb6f8d5858ca6aa5b | https://github.com/abi/screenshot-to-code/issues/132 | Why Connection closed 1006 | 
... | null | null | null | {"base_commit":"1f08d71d4dbc614b6b2eaaddb6f8d5858ca6aa5b","files":[{"path":"backend\/main.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('P... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"backend/main.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
pytorch | pytorch | 4622b3395276b37e10141fab43ffea33941ca0c2 | https://github.com/pytorch/pytorch/issues/2384 | How the grad is transferred between layer | consider a simple example here:
```python
import torch
from torch.autograd import Variable
input = Variable(torch.randn(20, 3, 28, 28), requires_grad=True)
m = torch.nn.Conv2d(3, 16, 5)
output = m(input)
loss = torch.sum(output)# define loss to perform backprop
m.zero_grad()
loss.backward()
print(type(i... | null | null | null | {"base_commit":"4622b3395276b37e10141fab43ffea33941ca0c2","files":[{"path":"torch\/autograd\/variable.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesi... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"torch/autograd/variable.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
pytorch | pytorch | 2abcafcfd8beb4f6a22e08532d58f9f09c490f0f | https://github.com/pytorch/pytorch/issues/96983 | module: binaries
triaged
module: arm | PyTorch 2.0 aarch64 wheels are missing the mkldnn+acl backend support | ### 🐛 Describe the bug
PyTorch 2.0 aarch64 wheels are missing the mkldnn+acl backend support, where as PyTorch 1.13.0 had support.
Solution:
the wheels need to be built with the `--enable-mkldnn` option while building them from the pytorch/builder repo.
example command for pytorch wheel builder script:
`./... | null | null | null | {"base_commit":"2abcafcfd8beb4f6a22e08532d58f9f09c490f0f","files":[{"path":".ci\/aarch64_linux\/build_aarch64_wheel.py","status":"modified","Loc":{"(None, None, None)":{"add":null,"mod":[8]},"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', ... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
".ci/aarch64_linux/build_aarch64_wheel.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | e8f6013d0349229fd8f7d298952cfe56fc4b8761 | https://github.com/xtekky/gpt4free/issues/2070 | bug
stale | Liaobots and You don't work | Liaobots and You do not work, they give the following errors:
```
Liaobots: ResponseStatusError: Response 500: Error
```
```
You: ResponseStatusError: Response 401: {"status_code":401,"request_id":"request-id-live-183191e7-adc1-4838-8e29-6e0c5c3ca048","error_type":"endpoint_not_authorized_for_sdk","error_mess... | null | null | null | {"base_commit":"e8f6013d0349229fd8f7d298952cfe56fc4b8761","files":[{"path":"g4f\/Provider\/Liaobots.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis'... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"g4f/Provider/Liaobots.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | fa2d608822540c9b73350bfa036e8822ade4e23f | https://github.com/xtekky/gpt4free/issues/2305 | stale | ValueError: Unknown model: dall-e-3 | ```
C:\Users\MAX\Desktop>pip install -U g4f[all]
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: g4f[all] in c:\users\max\appdata\local\packages\pythonsoftwarefoundation.python.3.12_qbz5n2kfra8p0\localcache\local-packages\python312\site-packages (0.3.3.2)
... | null | null | null | {"base_commit":"fa2d608822540c9b73350bfa036e8822ade4e23f","files":[{"path":"g4f\/models.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('Pre... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"g4f/models.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | 1ade1d959cbc9aea7cf653bbe5b6c414ba486c97 | https://github.com/xtekky/gpt4free/issues/1292 | bug
stale | RecursionError: maximum recursion depth exceeded while calling a Python object | Ubuntu 22, g4f-0.1.9.0, pip installation method, python3.10
**Bug description**
G4F API has these errors after 5-10 requests. I have to restart constantly. It is very uncomfortable. This problem did not exist in the previous version.
**Errors**
```
RecursionError: maximum recursion depth exceeded in comparison... | null | null | null | {"base_commit":"1ade1d959cbc9aea7cf653bbe5b6c414ba486c97","files":[{"path":"g4f\/cli.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('PreTra... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"g4f/cli.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | c159eebd494b1aef06340429b7b62cdfb84f783d | https://github.com/xtekky/gpt4free/issues/2556 | bug | Errors when generating images in the following models: | Hi!
errors when generating images in the following models:
Response 404: The page could not be found
sdxl, playground-v2.5, sd-3
dall-e-3: Missing "_U" cookie
midjourney: Cannot connect to host image.pollinations.ai:443 ssl:True [SSLCertVerificationError: (1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate ve... | null | null | null | {"base_commit":"c159eebd494b1aef06340429b7b62cdfb84f783d","files":[{"path":"projects\/windows\/main.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)"... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"projects/windows/main.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | b7eee50930dbd782d7c068d1d29cd270b97bc741 | https://github.com/xtekky/gpt4free/issues/1710 | bug
stale | AttributeError: module 'g4f' has no attribute 'client' | **Bug description**
When trying to run script from Quickstart, i get this error.
Traceback (most recent call last):
File "C:/Users/samso/AppData/Local/Programs/Python/Python311/test.py", line 3, in <module>
engine = g4f.client.Client()
AttributeError: module 'g4f' has no attribute 'client'
**Environmen... | null | null | null | {"base_commit":"b7eee50930dbd782d7c068d1d29cd270b97bc741","files":[{"path":"g4f\/client\/__init__.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":n... | [
{
"path": "C:/Users/samso/AppData/Local/Programs/Python/Python311/test.py"
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
"g4f/client/__init__.py"
],
"doc": [],
"test": [
"C:/Users/samso/AppData/Local/Programs/Python/Python311/test.py"
],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | 2a54c36043b9d87b96c4b7699ce194f8523479b8 | https://github.com/xtekky/gpt4free/issues/552 | bug | Unable to fetch the response, Please try again. | 
| null | null | null | {"base_commit":"2a54c36043b9d87b96c4b7699ce194f8523479b8","files":[{"path":"gpt4free\/you\/__init__.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis'... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"gpt4free/you/__init__.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
xtekky | gpt4free | c29487cdb522a2655ccff45bdfc33895ed4daf84 | https://github.com/xtekky/gpt4free/issues/2078 | bug | HuggingChat provider is not working - ResponseStatusError: Response 500 | ### Bug description
When I try to use the HuggingChat provider, having added a cookies/har file, I always get the same error: `An error occurred: HuggingChat: ResponseStatusError: Response 500:`
```
Using HuggingChat provider and CohereForAI/c4ai-command-r-plus model
INFO:werkzeug:192.168.80.1 - - [22/Jun/2024 ... | null | null | null | {"base_commit":"c29487cdb522a2655ccff45bdfc33895ed4daf84","files":[{"path":"g4f\/Provider\/HuggingChat.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 1... | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "1",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"g4f/Provider/HuggingChat.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
scikit-learn | scikit-learn | f7026b04f5e5909aa15848b25de2becd675871a9 | https://github.com/scikit-learn/scikit-learn/issues/2475 | Multinomial Naive Bayes: Scikit and Weka have different results | Hi All,
I used the sklearn.naive_bayes.MultinomialNB on a toy example.
Comparing the results with WEKA, I've noticed a quite different AUC.
Scikit (0.579) - Weka (0.664)
| null | null | null | {"base_commit":"f7026b04f5e5909aa15848b25de2becd675871a9","files":[{"path":"sklearn\/cross_validation.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesi... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"sklearn/cross_validation.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
scikit-learn | scikit-learn | 0ab5c678bba02888b62b777b4c757e367b3458d5 | https://github.com/scikit-learn/scikit-learn/issues/8470 | How to let gbdt = GradientBoostingRegressor(), gbdt.fit(X_feature, X_label) know whether the feature of input X is categorical or numerical? | null | null | null | {"base_commit":"0ab5c678bba02888b62b777b4c757e367b3458d5","files":[{"path":"sklearn\/preprocessing\/_encoders.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'star... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"sklearn/preprocessing/_encoders.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | ||
meta-llama | llama | 57b0eb62de0636e75af471e49e2f1862d908d9d8 | https://github.com/meta-llama/llama/issues/201 | Torchrun distributed running does not work | Running in a distributed manner either returns an error, or with the simplest example, produce obviously incorrect output.
The following is the result of running 13B model across two nodes. Node A:
`python -m torch.distributed.run --nproc_per_node 1 --nnodes=2 --node_rank=0 --master_addr="gpu3.lan" --master_port... | null | null | null | {"base_commit":"57b0eb62de0636e75af471e49e2f1862d908d9d8","files":[{"path":"example.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":null,"('P... | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"example.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
meta-llama | llama | ea9f33d6d3ea8ed7d560d270986407fd6c2e52b7 | https://github.com/meta-llama/llama/issues/670 | Counting tokens for Chat models | Does anyone how to calculate prompt and completion tokens for Llama Chat models for monitoring purposes?
Can we add this in responses as many times we don't have libraries to achieve this in languages like java, kotlin, etc.
Similar to tiktoken by openai - https://github.com/openai/tiktoken | null | null | null | {"base_commit":"ea9f33d6d3ea8ed7d560d270986407fd6c2e52b7","files":[{"path":"llama\/tokenizer.py","status":"modified","Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)":... | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"llama/tokenizer.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
meta-llama | llama | 7565eb6fee2175b2d4fe2cfb45067a61b35d7f5e | https://github.com/meta-llama/llama/issues/751 | documentation | Run llama2 on specified GPU | Suppose I have 8 A6000 GPU, I would like to run separate experiments on separate GPU, how can I do it? For example, I want to run chat_completion.py on CUDA:0 and run text_completion.py on CUDA:1 simutaneously. Are there any ways to do it? Thank you. | null | null | null | {"base_commit":"7565eb6fee2175b2d4fe2cfb45067a61b35d7f5e","files":[{"path":"example_text_completion.py","status":null,"Loc":{"(None, None, None)":null,"(None, 'find_best_app', 32)":null,"(None, 'call_factory', 82)":null,"(None, 'locate_app', 125)":null,"(None, 'test_locate_app', 148)":null,"(None, 'start_kinesis', 14)"... | [] | [] | [] | {
"iss_type": "3\nhow can I do it",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"example_text_completion.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.