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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
deepfakes | faceswap | 629c02a61e1ad5f769f8f7388a091d5ce9aa8160 | https://github.com/deepfakes/faceswap/issues/1254 | Can't Open GUI on Windows | **Describe the bug**
Whenever I try to open the GUI of Faceswap, I get an error and it doesn't open. I am on Windows, and I have uninstalled and reinstalled multiple times, including redoing the conda environment. CLI functions work, but the main GUI does not open, either from the shortcut or a manual terminal run. I ... | null | null | null | {'base_commit': '629c02a61e1ad5f769f8f7388a091d5ce9aa8160', 'files': [{'path': 'requirements/_requirements_base.txt', 'Loc': {'(None, None, 15)': {'mod': [15]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"requirements/_requirements_base.txt"
],
"asset": []
} | null | |
deepfakes | faceswap | 9696b5606fd0963814fc0c3644565aa60face69d | https://github.com/deepfakes/faceswap/issues/462 | Modify extractor to focus on mouth | I'd like to modify the extractor script to focus on the lower half of the face - specifically the mouth area.
I'm experimenting with changing people's mouth movements, and I want to train a higher resolution "mouth only" network, so I can create new speech patterns that are re-composited onto the original footage. ... | null | null | null | {'base_commit': '9696b5606fd0963814fc0c3644565aa60face69d', 'files': [{'path': 'lib/aligner.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"lib/aligner.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
deepfakes | faceswap | 9fb70f13552927bea1bf65fe35f4866f99171eaf | https://github.com/deepfakes/faceswap/issues/656 | Not showing graph in gui | in log gui:
`Exception in Tkinter callback
Traceback (most recent call last):
File "/usr/lib/python3.6/tkinter/__init__.py", line 1705, in __call__
return self.func(*args)
File "/home/telecast/Documents/faceswap/lib/gui/command.py", line 461, in <lambda>
command=lambda cmd=action: cmd(self.command))
... | null | null | null | {'base_commit': '9fb70f13552927bea1bf65fe35f4866f99171eaf', 'files': [{'path': 'Version', 'Loc': {}}, {'path': 'Version', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "2",
"info_type": "Config"
} | {
"code": [],
"doc": [],
"test": [],
"config": [],
"asset": [
"Version"
]
} | null | |
deepfakes | faceswap | e518206c8ef935ebc1b1ff64ae2901cc8ef05f94 | https://github.com/deepfakes/faceswap/issues/57 | Cannot install tensorflow-gpu requirement |
Tried installing the requirements-gpu.txt and get this error:
Collecting tensorflow-gpu==1.4.0 (from -r requirements-gpu.txt (line 6)) Cache entry deserialization failed, entry ignored Could not find a version that satisfies the requirement tensorflow-gpu==1.4.0 (from -r requirements-gpu.txt (line 6)) (from versio... | null | null | null | {'base_commit': 'e518206c8ef935ebc1b1ff64ae2901cc8ef05f94', 'files': [{'path': 'requirements-gpu.txt', 'Loc': {'(None, None, 6)': {'mod': [6]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Doc\n依赖声明"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"requirements-gpu.txt"
],
"asset": []
} | null | |
deepfakes | faceswap | 51f1993d93e0ffb581d44416f327f0cf731c34e8 | https://github.com/deepfakes/faceswap/issues/209 | doesn't work on 2GB GTX 960 even with LowMem model (what params could be reduced?) | LowMem is different from the common model with 2 lines:
ENCODER_DIM = 512 # instead of 1024
#x = self.conv(1024)(x) - commented out.
But it's still not enough to run under Ubuntu 16.04, cuda8, 1.7Gb of free video RAM.
It fails with OOM on any batch size, even with bs=1 and bs=2.
What about having s... | null | null | null | {'base_commit': '51f1993d93e0ffb581d44416f327f0cf731c34e8', 'files': [{'path': 'faceswap.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"faceswap.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
deepfakes | faceswap | a62a85c0215c1d791dd5ca705ba5a3fef08f0ffd | https://github.com/deepfakes/faceswap/issues/1361 | Bounding boxes coordinates | It has been 2 weeks I have been working on it but cannot find the solution.
I want the bounding boxes on the original image, of the result that is produced by the "Extract" process of faceswap code.
"Extract" writes the faces extracted from the input image(s). I just want the coordinates from which this face is e... | null | null | null | {'base_commit': 'a62a85c0215c1d791dd5ca705ba5a3fef08f0ffd', 'files': [{'path': 'lib/align/detected_face.py', 'Loc': {"('DetectedFace', '__init__', 82)": {'mod': [84, 85, 86, 87]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"lib/align/detected_face.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | 49582c35919097585699598ad0ca49fe3f2117b5 | https://github.com/3b1b/manim/issues/659 | Problem with FadeOutAndShift | t3 text is not going through FadeOutAndShift.
Also tell me how I can FadeOutAndShift t1 and t3 together
```# python -m manim try3.py test1 -pm
from manimlib.imports import *
class test1(Scene):
def construct(self):
t1=TextMobject("Hi!")
t2=TextMobject("My name is")
t3=TextMobject("Girish")
t1.... | null | null | null | {'base_commit': '49582c35919097585699598ad0ca49fe3f2117b5', 'files': [{'path': 'manimlib/scene/scene.py', 'Loc': {"('Scene', 'play', 455)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manimlib/scene/scene.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | ce06e58505dff26cccd497a9bd43969f74ae0da9 | https://github.com/3b1b/manim/issues/274 | ImportError: No module named animation | I've installed manim on Win10. After run "python extract_scene.py -s example_scenes.py",
the next error is shown in the python interactive interpretor:
> Traceback (most recent call last):
File "extract_scene.py", line 15, in <module>
from scene.scene import Scene
File "G:\python\manim\scene\scene.py... | null | null | null | {'base_commit': 'ce06e58505dff26cccd497a9bd43969f74ae0da9', 'files': [{'path': 'animation/transform.py', 'Loc': {'(None, None, None)': {'mod': [8]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"animation/transform.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | 55ece141e898577ce44e71d718212a1ee816ed74 | https://github.com/3b1b/manim/issues/658 | How to add sound to video? | null | null | null | {'base_commit': '55ece141e898577ce44e71d718212a1ee816ed74', 'files': [{'path': 'manimlib/scene/scene.py', 'Loc': {"('Scene', 'add_sound', 543)": {'mod': []}}, 'status': 'modified'}, {'path': 'old_projects/clacks/solution2/simple_scenes.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"old_projects/clacks/solution2/simple_scenes.py",
"manimlib/scene/scene.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | ||
3b1b | manim | 97a0a707d759e0235450ea8c20f55a2529bd2973 | https://github.com/3b1b/manim/issues/878 | Swedish characters not working |
Include at least:
1. Steps to reproduce the issue (e.g. the command you ran)
2. The unexpected behavior that occurred (e.g. error messages or screenshots)
3. The environment (e.g. operating system and version of manim)
I am new to manim and want to include swedish characters in a text, but it gives an error m... | null | null | null | {} | [
{
"Loc": [
12
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | 6880ebcbc2525b2f3c0731439bef7ff981b4b5b4 | https://github.com/3b1b/manim/issues/924 | Reconsidering TEX_USE_CTEX / using XeLaTeX | I worked on manim back in 2018. I added the function for using CTeX (XeLaTeX package for Chinese) and XeLaTeX instead of LaTeX using the flag `TEX_USE_CTEX` in constants.py (#315).
I have stopped working on manim since 2019, but over the months there are apparently more and more people who want to use LaTeX renderin... | null | null | null | {} | [] | [] | [
{
"pro": "ManimCommunity"
},
{
"pro": "manim",
"path": [
"manim/utils/tex_templates.py"
]
}
] | {
"iss_type": "4",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manim/utils/tex_templates.py"
],
"doc": [],
"test": [],
"config": [],
"asset": [
"ManimCommunity"
]
} | null | |
3b1b | manim | 49582c35919097585699598ad0ca49fe3f2117b5 | https://github.com/3b1b/manim/issues/660 | ColorByCaracter help | I want to color only theta of ```{ e }^{ i\theta }```
I was going through ColorByCaracter in 3_text_like_arrays.py .
But I fail to understand how you people separate the tex formula into arrays. I know about arrays but I can only copy the tex code from [Daum Equation Editor](http://s1.daumcdn.net/editor/fp/servic... | null | null | null | {'base_commit': '49582c35919097585699598ad0ca49fe3f2117b5', 'files': [{'path': 'manimlib/mobject/svg/tex_mobject.py', 'Loc': {"('TexMobject', None, 132)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manimlib/mobject/svg/tex_mobject.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | 32abbb9371308e8dff7410de387fe78e64b6fe7a | https://github.com/3b1b/manim/issues/700 | OSError: No file matching Suv.svg in image directory | I've tried putting the .SVG image into */media/designs/svg_images. But when I want to quote it in the .py file it still reports errors:
```
Traceback (most recent call last):
File "/home/jason/Documents/manim/manimlib/extract_scene.py", line 155, in main
scene = SceneClass(**scene_kwargs)
File "/home/jas... | null | null | null | {'base_commit': '32abbb9371308e8dff7410de387fe78e64b6fe7a', 'files': [{'path': 'manimlib/mobject/svg/svg_mobject.py', 'Loc': {"('SVGMobject', 'ensure_valid_file', 49)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manimlib/mobject/svg/svg_mobject.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | b74e5ca254bccc1575b4c7b7de3c1cb2010aac75 | https://github.com/3b1b/manim/issues/694 | can't graph trigonometric function of secx, cscx, cotx, tanx,... | source code:
class PlotFunctions(GraphScene):
CONFIG = {
"x_min" : -10,
"x_max" : 10.3,
"y_min" : -1.5,
"y_max" : 1.5,
"graph_origin" : ORIGIN ,
"function_color" : RED ,
"axes_color" : GREEN,
"x_labeled_nums" :range(-10,12,2),
}
... | null | null | null | {'base_commit': 'b74e5ca254bccc1575b4c7b7de3c1cb2010aac75', 'files': [{'path': 'manimlib/mobject/types/vectorized_mobject.py', 'Loc': {"('VGroup', None, 868)": {'mod': []}}, 'status': 'modified'}, {'Loc': [17], 'path': None}]} | [
{
"Loc": [
17
],
"path": null
}
] | [] | [] | {
"iss_type": "2",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3\n+\n0",
"info_type": "Code"
} | {
"code": [
null,
"manimlib/mobject/types/vectorized_mobject.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | fc153bb49a529e8cbb02dd1514f06387cbf0ee6e | https://github.com/3b1b/manim/issues/1206 | Manim can't find my png file | I'm new to coding and am trying to learn manim, which I'm using on my macbook pro. I'm trying to create a scene where manim draws a png file I saved. I saved the png file as "shirt.png" in my manim folder. I then ran the following code:
```
from manimlib.imports import *
class OutFit(Scene):
def construct(se... | null | null | null | {'base_commit': 'fc153bb49a529e8cbb02dd1514f06387cbf0ee6e', 'files': [{'path': 'manimlib/animation/fading.py', 'Loc': {"('FadeIn', None, 34)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manimlib/animation/fading.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
3b1b | manim | 64c960041b5b9dcb0aac50019268a3bdf69d9563 | https://github.com/3b1b/manim/issues/608 | What is VMobject exactly? | Can anyone explain what is the purpose of `VMobject` and how it differs from `Mobject`?
I am trying to make some `old_projects` work. For example, I had to change `PMobject` to inherit from `VMobject` instead of `Mobject` in order to fix `NumberLineScene`. I do not know if it is correct thing to do or how will it af... | null | null | null | {'base_commit': '64c960041b5b9dcb0aac50019268a3bdf69d9563', 'files': [{'path': 'manimlib/mobject/types/vectorized_mobject.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "5",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"manimlib/mobject/types/vectorized_mobject.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
All-Hands-AI | OpenHands | a2779fe2f6c9ab29508676f21242b1c6b88e2f67 | https://github.com/All-Hands-AI/OpenHands/issues/5229 | documentation
enhancement
fix-me | [Documentation]: Micro-agents | **What problem or use case are you trying to solve?**
Currently in the `openhands/agenthub/codeact_agent` directory, we have an implementation of micro agents, but this is not documented.
To do so, we can:
1. read the implementation of codeact agent
2. read an example microagent in `openhands/agenthub/codeact_a... | null | null | null | {'base_commit': 'a2779fe2f6c9ab29508676f21242b1c6b88e2f67', 'files': [{'path': 'microagents/README.md', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "4",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Doc"
} | {
"code": [],
"doc": [
"microagents/README.md"
],
"test": [],
"config": [],
"asset": []
} | null |
All-Hands-AI | OpenHands | 08a2dfb01af1aec6743f5e4c23507d63980726c0 | https://github.com/All-Hands-AI/OpenHands/issues/635 | bug | Ollama support issue. | <!-- You MUST fill out this template. We will close issues that don't include enough information to reproduce -->
#### Describe the bug
When trying to configure OpenDevin to run with Ollama there are requests that are being sent to the ollama server like this:
![image](https://github.com/OpenDevin/OpenDevin/as... | null | null | null | {'base_commit': '08a2dfb01af1aec6743f5e4c23507d63980726c0', 'files': [{'path': 'opendevin/llm/LOCAL_LLM_GUIDE.md', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "1",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [],
"doc": [
"opendevin/llm/LOCAL_LLM_GUIDE.md"
],
"test": [],
"config": [],
"asset": []
} | null |
scrapy | scrapy | d636e5baa8a077e2869bfe3b76525efec42392ec | https://github.com/scrapy/scrapy/issues/2276 | can LinkExtractor extract scrapy.link with node info | the html is like below, i want to extract the link `/example/category/pg{page}/`, but the `scrapy.link` does not contains the node info(`currentPage` and `totalPage`), how can i extract the link with the node info
``` html
<div class="page-box">
<div page-url="/example/category/pg{page}/"
totalPage=... | null | null | null | {'base_commit': 'd636e5baa8a077e2869bfe3b76525efec42392ec', 'files': [{'path': 'scrapy/http/response/text.py', 'Loc': {"('TextResponse', 'css', 117)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"scrapy/http/response/text.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
scrapy | scrapy | 892467cb8a40c54840284a08d0f98ab1b3af7bc4 | https://github.com/scrapy/scrapy/issues/4565 | AttributeError: module 'resource' has no attribute 'getrusage' | version : Scrapy 2.1.0
```
2020-05-11 20:05:28 [scrapy.core.engine] INFO: Spider opened
2020-05-11 20:05:28 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min)
2020-05-11 20:05:28 [dy] INFO: Spider opened: dy
2020-05-11 20:05:28 [scrapy.utils.signal] ERROR: Error... | null | null | null | {'base_commit': '892467cb8a40c54840284a08d0f98ab1b3af7bc4', 'files': [{'path': 'scrapy/commands/settings.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"scrapy/commands/settings.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
commaai | openpilot | ce9559cc54433244cb01d4781302eb072a3fd519 | https://github.com/commaai/openpilot/issues/30078 | bug
fingerprint
car
ford | 2023 Ford Maverick Not Recognized | ### Describe the bug
Car Not Recognized
Looks like all the values for firmware are the same as what is already in values.py
### Which car does this affect?
Ford Maverick 2023
### Provide a route where the issue occurs
66833387c2bbbca0|2023-09-27--21-13-05
### openpilot version
master-ci
### Additional info
... | null | null | null | {'base_commit': 'ce9559cc54433244cb01d4781302eb072a3fd519', 'files': []} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "2",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
psf | requests | 27b55a74d7b9bd2f8c60fd0ee342bcbbf40e0a66 | https://github.com/psf/requests/issues/775 | Content marked as consumed in 0.13.6 | Content is immediately marked as consumed in 0.13.6, causing calls to e.g. response.iter_content() to throw an error.
Test code (tested with python 2.6):
```
import requests
r = requests.get('http://docs.python-requests.org/')
if r._content_consumed:
print 'consumed'
else:
print 'not consumed'
```
In 0.13.5... | null | null | null | {'base_commit': '27b55a74d7b9bd2f8c60fd0ee342bcbbf40e0a66', 'files': [{'path': 'requests/models.py', 'Loc': {"('Request', '__init__', 47)": {'mod': [62]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"requests/models.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
psf | requests | 2de907ad778de270911acaffe93883f0e2729a4a | https://github.com/psf/requests/issues/4602 | Chunk-encoded request doesn't recognize iter_content generator | Passing a generator created by iter_content() as request data raises "TypeError: sendall() argument 1 must be string or buffer, not generator".
## Expected Result
The POST request successfully delives the content from the GET request.
## Actual Result
A TypeError is raised:
```
Traceback (most recent call... | null | null | null | {} | [] | [] | [
{
"pro": "requests"
},
{
"pro": "toolbelt",
"path": [
"requests_toolbelt/streaming_iterator.py"
]
}
] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "2",
"info_type": "Code"
} | {
"code": [
"requests_toolbelt/streaming_iterator.py"
],
"doc": [],
"test": [],
"config": [],
"asset": [
"requests"
]
} | null | |
psf | requests | f17ef753d2c1f4db0d7f5aec51261da1db20d611 | https://github.com/psf/requests/issues/3031 | Needs Info
Question/Not a bug | [WinError 10048] Only one usage of each socket address ... | I notice that despite using requests.Session() - I still seem to be creating new connections/sockets which eventually exhaust (TIME_WAIT) and I get the following error:
> [WinError 10048] Only one usage of each socket address (protocol/network address/port) is normally permitted',))
```
s = requests.Session()
data = ... | null | null | null | {} | [
{
"Loc": [
8
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
psf | requests | 6f659a41794045292b836859f1281d33eeed8260 | https://github.com/psf/requests/issues/3740 | File download weirdness | I noticed this issue building conda recipes. Conda uses requests to download files from the internet.
The file that is being fetched is: https://dakota.sandia.gov/sites/default/files/distributions/public/dakota-6.5-public.src.tar.gz
(link found here: https://dakota.sandia.gov/download.html)
Downloading with cur... | null | null | null | {'base_commit': '6f659a41794045292b836859f1281d33eeed8260', 'files': [{'path': 'docs/user/quickstart.rst', 'Loc': {'(None, None, 166)': {'mod': [166]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Doc"
} | {
"code": [],
"doc": [
"docs/user/quickstart.rst"
],
"test": [],
"config": [],
"asset": []
} | null | |
psf | requests | 62176a1ca7207db37273365b4691ed599203b828 | https://github.com/psf/requests/issues/3849 | Received response with content-encoding: gzip, but failed to decode it | ```python
import requests
requests.get('http://gett.bike/')
```
This code raises the following exception:
```python
ContentDecodingError: ('Received response with content-encoding: gzip, but failed to decode it.',
error('Error -3 while decompressing data: incorrect data check',))
```
Arch linux x64
requests... | null | null | null | {'base_commit': '62176a1ca7207db37273365b4691ed599203b828', 'files': [{'path': 'src/requests/api.py', 'Loc': {"(None, 'request', 14)": {'mod': [24]}}, 'status': 'modified'}, {'Loc': [4], 'path': None}]} | [
{
"Loc": [
4
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null,
"src/requests/api.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
psf | requests | 057722af23edf3f69bf7bdfed7c6c32cbe1ce2e7 | https://github.com/psf/requests/issues/3015 | Ability to set timeout after response | For devs who use this great library, it would be very beneficial to be able to set the timeout AFTER initial connection. There are a few scenarios where this is useful but one of the main patterns/use cases is this:
```
import requests
import socket
# May or may not subclass threading.Thread
class Getter(object):
... | null | null | null | {} | [
{
"Loc": [
20
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
psf | requests | 1285f576ae0a848de27af10d917c19b60940d1fa | https://github.com/psf/requests/issues/3774 | bad handshake error with ssl3 | I have an inhouse IIS server with ssl3 but an expired certificate, so I used requests without certificate verification and it was working fine with requests 2.11.1. But after I upgrade requests to 2.12.0, there was an error occured.
the code is:
...
requests.get('https://10.192.8.89:8080/yps_report', verify=False... | null | null | null | {} | [
{
"Loc": [
41
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3\n需要将下面的user的一个comment中user的代码放入其中",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
ansible | ansible | a6d4c3ff7cf43c24be6622102cee834fc5096496 | https://github.com/ansible/ansible/issues/78759 | module
support:core
bug
affects_2.9 | "Invalid data passed to 'loop', it requires a list, got this instead: <built-in method values of dict object at 0x7f63b782bf80>. | ### Summary
When trying to pass a variable called i.e. sysctl.values to loop, I will get the above error.
### Issue Type
Bug Report
### Component Name
debug (only used for debugging)
### Ansible Version
```console
$ ansible --version
ansible 2.9.27
config file = /home/rf/.ansible.cfg
conf... | null | null | null | {} | [
{
"Loc": [
59
],
"path": null
}
] | [] | [] | {
"iss_type": "2",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ansible | ansible | 8af920c8924b2fd9a0e4192c3c7e6085b687bfdc | https://github.com/ansible/ansible/issues/82382 | bug
affects_2.16 | Ansible core 2.16.1 broke AnsibleUnsafeBytes iteration | ### Summary
Upgrading form 2.16.0 to 2.16.1 (Ansible 9.0.1 to 9.1.0), iterating over AnsibleUnsafeBytes does not create a list of numbers anymore.
### Issue Type
Bug Report
### Component Name
core, unsafe_proxy
### Ansible Version
```console
$ ansible --version
ansible [core 2.16.1]
config... | null | null | null | {'base_commit': '8af920c8924b2fd9a0e4192c3c7e6085b687bfdc', 'files': [{'path': 'Version', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "1",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Other"
} | {
"code": [],
"doc": [],
"test": [],
"config": [],
"asset": [
"Version"
]
} | null |
ansible | ansible | bcf9cd1e2a01d8e111a28db157ebc255a5592dca | https://github.com/ansible/ansible/issues/20085 | cloud
affects_2.1
module
docker
bug | docker_container task fail on exit code | Unless i'm missing something i expect that if I were to do something like the following the task would fail? But it does not 😟
```yaml
tasks:
docker_container:
name: "exit-test"
image: "ubuntu:latest"
command: "bash -c 'exit 123'"
```
##### ISSUE TYPE
- Bug Report
####... | null | null | null | {} | [] | [] | [
{
"org": "ansible",
"pro": "ansible-modules-core",
"path": [
"cloud/docker/docker_container.py"
]
}
] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "2",
"info_type": "Code"
} | {
"code": [
"cloud/docker/docker_container.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ansible | ansible | d5324c11a0c389d2ede8375e2024cb37b9eb8ce5 | https://github.com/ansible/ansible/issues/19352 | affects_2.0
module
support:core
bug
files | Template update convert \n to actual new line | ##### ISSUE TYPE
Bug Report
##### COMPONENT NAME
template
##### ANSIBLE VERSION
2.0 and higher
CONFIGURATION
```
[ssh_connection]
control_path = %(directory)s/%%C
```
##### OS / ENVIRONMENT
Mac OS X 10.11.6
Centos 6.x, 7.x
SUMMARY
In the input .j2 file, we substitute a variable with an ... | null | null | null | {'base_commit': 'd5324c11a0c389d2ede8375e2024cb37b9eb8ce5', 'files': [{'path': 'lib/ansible/template/__init__.py', 'Loc': {}}, {'path': 't.yml', 'Loc': [60]}]} | [
{
"path": "t.yml",
"Loc": [
60
]
}
] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "3\n+\n0",
"info_type": "Code"
} | {
"code": [
"lib/ansible/template/__init__.py"
],
"doc": [],
"test": [],
"config": [
"t.yml"
],
"asset": []
} | null |
ansible | ansible | a29fcfa9952ff40e389a5e93c880bc2a23e3f2e7 | https://github.com/ansible/ansible/issues/73922 | python3
module
support:core
bug
affects_2.10 | cron: Remove/delete an environment variable | ### Summary
With `env=yes`, `cron` add environment variable (with the `name` & `value`) parameters.
I though that having `env` + `state=absent` would remove said variable, but that's not the case (the cron file is actually removed).
As such there is no way to remove a variable and the more obvious way to attempt t... | null | null | null | {'base_commit': 'a29fcfa9952ff40e389a5e93c880bc2a23e3f2e7', 'files': [{'path': 'lib/ansible/modules/cron.py', 'Loc': {'(None, None, None)': {'mod': [15]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "4",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Doc"
} | {
"code": [
"lib/ansible/modules/cron.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ansible | ansible | 7490044bbe28029afa9e3099d86eae9fda5f88b7 | https://github.com/ansible/ansible/issues/11351 | affects_2.0
affects_2.3
c:executor/playbook_executor
support:core
feature
P3 | enable do/until with async tasks | ##### ISSUE TYPE
Feature Idea
##### COMPONENT NAME
core
##### ANSIBLE VERSION
2.0
##### CONFIGURATION
##### OS / ENVIRONMENT
##### SUMMARY
When a task is marked as async, there is no way to loop until a condition is met.
With poll:0 and async_status you can poll for async task to complete but you cannot repeat t... | null | null | null | {} | [
{
"path": "/tmp/async-test.yml",
"Loc": [
33
]
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "1",
"info_type": "Config"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"/tmp/async-test.yml"
],
"asset": []
} | null |
ansible | ansible | 833970483100bfe89123a5718606234115921aec | https://github.com/ansible/ansible/issues/67993 | cloud
aws
openstack
module
support:community
affects_2.5
bug
traceback
system | Stickiness type 'lb_cookie' is not supported for target groups with the TCP protocol(unable to disable stickiness not supported in NLB) | ##### SUMMARY
We are using Ansible 2.5 to deploy AWS resources in our environment. From March 02, 2019 our deployment is failing with the below error.
ERROR:
=====
TASK [immutable_server : target group for analytics-tst-plebos loadbalancer] ***
An exception occurred during task execution. To see the full traceba... | null | null | null | {} | [
{
"Loc": [
20
],
"path": null
}
] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "3",
"info_type": "Code"
} | {
"code": [
null
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 6f718cee740e7cd423edd1136db78c5be49fa7c0 | https://github.com/ultralytics/yolov5/issues/2467 | question
Stale | Problems with weights | ## ❔Question
Hello, I have just run trainy.py script with my data and faced a problem - you wrote that weights are saved in runs directory, but in my case I have not found them. Everything is fine with hyp.yaml and opt.yaml but folder "weights" is empty.
Do you have any guesses about this issue?
## Additional co... | null | null | null | {'base_commit': '6f718cee740e7cd423edd1136db78c5be49fa7c0', 'files': [{'path': 'train.py', 'Loc': {'(None, None, None)': {'mod': [470, 454]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "2\nweights找不见",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"train.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 06831aa9e905e0fa703958f6b3f3db443cf477f3 | https://github.com/ultralytics/yolov5/issues/9079 | Does adjusting the number of classes of a pretrained model work? | ### Search before asking
- [x] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions. *
### Question
Hi everyone,
I'm a bit confused about how to properly load a pretrained model ... | null | null | null | {'base_commit': '06831aa9e905e0fa703958f6b3f3db443cf477f3', 'files': [{'path': 'train.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"train.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
ultralytics | yolov5 | ee8988b8a2ed07af1b7c8807d39aad35369f0e28 | https://github.com/ultralytics/yolov5/issues/8 | Stale | training actually can not work | After trained on several epochs, I found the mAP is still very low. Does the training really works?
```
Epoch gpu_mem GIoU obj cls total targets img_size
14/299 6.4G 0.02273 0.002925 0.0003764 0.02603 11 640: 100%|████████████████████████████████████████████... | null | null | null | {'base_commit': 'ee8988b8a2ed07af1b7c8807d39aad35369f0e28', 'files': [{'path': 'models/yolov5s.yaml', 'Loc': {'(None, None, 2)': {'mod': [2]}}, 'status': 'modified'}, {'path': 'README.md', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "",
"info_type": "Code"
} | {
"code": [],
"doc": [
"README.md"
],
"test": [],
"config": [
"models/yolov5s.yaml"
],
"asset": []
} | null |
ultralytics | yolov5 | 901243c7806be07b31073440cf721e73532a0734 | https://github.com/ultralytics/yolov5/issues/894 | question | training stuck when loading dataset | ## ❔Question
I follow the instructions to run coco128,
```
python train.py --img 640 --batch 16 --epochs 5 --data ./data/coco128.yaml --cfg ./models/yolov5s.yaml --weights '',
```
the ouput is
```
Image sizes 640 train, 640 test
Using 8 dataloader workers
Starting training for 5 epochs...
Epoch gpu... | null | null | null | {'base_commit': '901243c7806be07b31073440cf721e73532a0734', 'files': [{'path': 'train.py', 'Loc': {'(None, None, None)': {'mod': [388]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "2",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"train.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 63060910a68bfde238872d629ab88e2e7bc736e8 | https://github.com/ultralytics/yolov5/issues/3735 | question
Stale | Results interpretation | Hello,
Another question to do with results interpretation. I am not very sure how to interpret the results.txt file that gets generated after training is over. Also, is there any way to extract the number of false positives, true positives, false negatives, as well as to see the total mean average accuracy and loss ... | null | null | null | {'base_commit': '63060910a68bfde238872d629ab88e2e7bc736e8', 'files': [{'path': 'README.md', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "5",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [],
"doc": [
"README.md"
],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | dc54ed5763720ced4f6784552c47534af5413d45 | https://github.com/ultralytics/yolov5/issues/6062 | question
Stale | How to add some private information into .pt file? | ### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
### Question
yolov5 is a great algorithm, but I'm having some problems. Specifically, I want to add so... | null | null | null | {'base_commit': 'dc54ed5763720ced4f6784552c47534af5413d45', 'files': [{'path': 'train.py', 'Loc': {"(None, 'train', 58)": {'mod': [377]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"train.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 79af1144c270ac7169553d450b9170f9c60f92e4 | https://github.com/ultralytics/yolov5/issues/4517 | question
Stale | what is moasic and what is its default and how to delete it | what is the meaning of moasic
where I can find its default parameter
how to stop moasic and stop augmentation in general
I use only this line is it augment data by default or not? how to stop augmentation if exist
```
!python train.py --img 640 --batch 16 --epochs 400 --data /mydrive/data.yaml \
--weigh... | null | null | null | {'base_commit': '79af1144c270ac7169553d450b9170f9c60f92e4', 'files': [{'path': 'data/hyps/hyp.scratch.yaml', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "配置文件"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"data/hyps/hyp.scratch.yaml"
],
"asset": []
} | null |
ultralytics | yolov5 | 0d8a1842373e55f8f639adede0c3d378f1ffbea5 | https://github.com/ultralytics/yolov5/issues/4717 | bug | [onnx export.py error] Unsupported ONNX opset version | `ONNX: starting export with onnx 1.10.1...`
`ONNX: export failure: Unsupported ONNX opset version: 13`
I'm using
yolov5-5.0, pytorch1.7.0+cu101 and python3.7.9.
How to solve it? | null | null | null | {'base_commit': '0d8a1842373e55f8f639adede0c3d378f1ffbea5', 'files': [{'path': 'export.py', 'Loc': {"(None, 'parse_opt', 166)": {'mod': [179]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "3",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"export.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 886f1c03d839575afecb059accf74296fad395b6 | https://github.com/ultralytics/yolov5/issues/2432 | question | Experiments on GhostNet | ## ❔Question
I am just wondering about the performance when using GhostNet in experimental.py. Could you please share this experiment?
## Additional context
| null | null | null | {'base_commit': '886f1c03d839575afecb059accf74296fad395b6', 'files': [{'path': 'Models/yolov5l.yaml', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "配置"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"Models/yolov5l.yaml"
],
"asset": []
} | null |
ultralytics | yolov5 | 2026d4c5eb4e3e48b5295106db85c844000d95d1 | https://github.com/ultralytics/yolov5/issues/1498 | question
Stale | calculate fps on local system | ## ❔Question
I have been using the code to do detection from webcam. How can I know what is the speed of detection (fps) in my local system?
| null | null | null | {'base_commit': '2026d4c5eb4e3e48b5295106db85c844000d95d1', 'files': [{'path': 'README.md', 'Loc': {'(None, None, 61)': {'mod': [61]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code\nDoc"
} | {
"code": [],
"doc": [
"README.md"
],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | 14797370646d25e226f0093a5982d5cd54ba729a | https://github.com/ultralytics/yolov5/issues/2797 | question | large scale dataset use --cache-images flag | ## ❔Question
hello ~ , i have dataset with a million images about 450GB and i want to use --cache-images accelerate training（i have 128GB RAM），can i split the whole dataset into many sub dataset and training them one by one（like resume training） ？
## Additional context
| null | null | null | {'base_commit': '14797370646d25e226f0093a5982d5cd54ba729a', 'files': [{'path': 'train.py', 'Loc': {'(None, None, None)': {'mod': [466]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"train.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null |
ultralytics | yolov5 | f5335f22bbd6037124d60edb3c2d1934d7673e23 | https://github.com/ultralytics/yolov5/issues/8907 | question
Stale | I am making UI by QT for Yolov5 training. Where is making the result image (results.png) after training? | ### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
### Question
I am making UI by QT for Yolov5 training. Where is making the result image (results.png) ... | null | null | null | {'base_commit': 'f5335f22bbd6037124d60edb3c2d1934d7673e23', 'files': [{'path': 'utils/plots.py', 'Loc': {"(None, 'plot_results', 418)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"utils/plots.py"
],
"doc": [],
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ultralytics | yolov5 | 0ab303b04499b6b912d8212a4fa10fe3fcb78efa | https://github.com/ultralytics/yolov5/issues/8708 | question
Stale | Significance of --half? | ### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
### Question
Can you please let me know the significance of --half during training process....
### Ad... | null | null | null | {'base_commit': '0ab303b04499b6b912d8212a4fa10fe3fcb78efa', 'files': [{'path': 'val.py', 'Loc': {"(None, 'parse_opt', 330)": {'mod': [351]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | b74929c910f9cd99d2ece587e57bce1ae000d3ba | https://github.com/ultralytics/yolov5/issues/4252 | question | Training speed and memory | I noticed your instructions about training,
Run commands below to reproduce results on COCO dataset (dataset auto-downloads on first use). Training times for YOLOv5s/m/l/x are 2/4/6/8 days on a single V100 (multi-GPU times faster). Use the largest --batch-size your GPU allows (batch sizes shown for 16 GB devices).
I ... | null | null | null | {'base_commit': 'b74929c910f9cd99d2ece587e57bce1ae000d3ba', 'files': [{'path': 'train.py', 'Loc': {}}]} | [] | [] | [] | {
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ultralytics | yolov5 | 404749a33cc29d119f54b2ce35bf3b33a847a487 | https://github.com/ultralytics/yolov5/issues/2186 | question | Can we return objectness score and class score? | ## ❔Question
I am wondering if it is possible to return confidence scores for objectness and classification separately for each predicted box during inference? I might be conceptually off base here, but I am interested in understanding if the model is unsure if the box itself is correct or if the class it is assigning... | null | null | null | {'base_commit': '404749a33cc29d119f54b2ce35bf3b33a847a487', 'files': [{'path': 'detect.py', 'Loc': {"(None, 'detect', 18)": {'mod': [103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113]}}, 'status': 'modified'}, {'path': 'utils/general.py', 'Loc': {"(None, 'non_max_suppression', 340)": {'mod': []}}, 'status': 'modifi... | [] | [] | [] | {
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ultralytics | yolov5 | dabad5793a638cba1e5a2bbb878c9b87fe1a14a0 | https://github.com/ultralytics/yolov5/issues/3942 | enhancement
Stale | For online cutting training and detection can be improve | ## 🚀 Feature
For big image training, usually people thinking about to cut the images, but yolov5 can only resize the image to small size. Such as VisDrone dataset, the smallest image can have 960*540 size, if resize to 640*640, size would be 640*360, but the target in dataset mostly are small object, resize the ima... | null | null | null | {'base_commit': 'dabad5793a638cba1e5a2bbb878c9b87fe1a14a0', 'files': [{'path': 'utils/augmentations.py', 'Loc': {"('Albumentations', '__init__', 16)": {'mod': [22]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | c8c5ef36c9a19c7843993ee8d51aebb685467eca | https://github.com/ultralytics/yolov5/issues/1238 | question | img-weights | ## ❔Question
parser.add_argument('--img-weights', action='store_true', help='use weighted image selection for training')
in order to make --iimg-weights work, what else I need to do?
dataset = LoadImagesAndLabels(path, imgsz, batch_size,
augment=augment, # augment images
... | null | null | null | {'base_commit': 'c8c5ef36c9a19c7843993ee8d51aebb685467eca', 'files': [{'path': 'train.py', 'Loc': {'(None, None, None)': {'mod': [397]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | 9cd89b75cca8bb165a3b19c9b8356f7b3bb22b31 | https://github.com/ultralytics/yolov5/issues/7072 | question | why can't I reproduce the mAP provided by README.md（v6.1）？ | ### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
### Question
I used the method recommended by README.md(v6.1) to reproduce the mAP, but I failed.
'p... | null | null | null | {'base_commit': '9cd89b75cca8bb165a3b19c9b8356f7b3bb22b31', 'files': [{'path': 'data/scripts/get_coco.sh', 'Loc': {'(None, None, 13)': {'mod': [13]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | 079b36d72ba2ef298f7ae4dc283d8c7975eb02f6 | https://github.com/ultralytics/yolov5/issues/6540 | question | Is YOLOv5 able to detect a specific number of classes according to the project's need, like just 2 or 3 classes? | ### Search before asking
- [X] I have searched the YOLOv5 [issues](https://github.com/ultralytics/yolov5/issues) and [discussions](https://github.com/ultralytics/yolov5/discussions) and found no similar questions.
### Question
Hi, I'm using YOLOv5 in my project and I have a question. If I use "--classes " it could ... | null | null | null | {'base_commit': '079b36d72ba2ef298f7ae4dc283d8c7975eb02f6', 'files': [{'path': 'detect.py', 'Loc': {"(None, 'parse_opt', 216)": {'mod': [231]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | e96c74b5a1c4a27934c5d8ad52cde778af248ed8 | https://github.com/ultralytics/yolov5/issues/4357 | question
Stale | Average Precision for each class | ## Is there any way to see the average precision for each class?
I have run my model for 1,000 epochs and I have a bunch of metrics (which are AMAZING by the way, thanks so making it so easy to see them!) and I have mAP, but I was wondering if there was a way to see the AP for each class? Like a table or something. ... | null | null | null | {'base_commit': 'e96c74b5a1c4a27934c5d8ad52cde778af248ed8', 'files': [{'path': 'val.py', 'Loc': {"(None, 'parse_opt', 293)": {'mod': [305]}}, 'status': 'modified'}]} | [] | [] | [] | {
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ultralytics | yolov5 | 96e36a7c913e2433446ff410a4cf60041010a524 | https://github.com/ultralytics/yolov5/issues/4152 | question | Format of data for testing trained model | In what format do I need to feed the validation dataset to the val.py file? Should images and markup be in the same folder or in different ones? In what format should the coordinates of the bounding boxes be in - yolo or something else?
| null | null | null | {'base_commit': '96e36a7c913e2433446ff410a4cf60041010a524', 'files': [{'path': 'README.md', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | eaf5ec4467795344e7d9601515b017fd8c46e44b | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/439 | decoding error in preprocessing synthesizer | I get the following error while running `synthesizer_preprocess_audio.py`.
```
Arguments:
datasets_root: /home/amin/voice_cloning/libri_100
out_dir: /home/amin/voice_cloning/libri_100/SV2TTS/synthesizer
n_processes: None
skip_existing: True
hparams:
Using data fr... | null | null | null | {'base_commit': 'eaf5ec4467795344e7d9601515b017fd8c46e44b', 'files': [{'path': 'synthesizer/preprocess.py', 'Loc': {"(None, 'preprocess_speaker', 54)": {'mod': [60]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 5425557efe30863267f805851f918124191e0be0 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/629 | Error in macOS when trying to launch the toolbox | Traceback (most recent call last):
File "/Users/luke/Documents/Real-Time-Voice-Cloning-master/demo_toolbox.py", line 2, in <module>
from toolbox import Toolbox
File "/Users/luke/Documents/Real-Time-Voice-Cloning-master/toolbox/__init__.py", line 1, in <module>
from toolbox.ui import UI
File "/Users/l... | null | null | null | {'base_commit': '5425557efe30863267f805851f918124191e0be0', 'files': [{'path': 'encoder/inference.py', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 98d0ca4d4d140a4bb6bc7d54c84b1915a79041d5 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/1156 | missing SV2TTS/ | Hey, I'm trying to finetune the pretrained model but it looks like I am missing the SV2TTS/ directory which contains train.txt, etc.
I have a saved_models/ directory which has three *.pt files for the three components of this TTS architecture. | null | null | null | {'base_commit': '98d0ca4d4d140a4bb6bc7d54c84b1915a79041d5', 'files': [{'path': 'synthesizer_preprocess_audio.py', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | e32cf8f4ddb63d9a7603eeb31f1855b54926aee6 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/549 | Import Error | Hey, i am trying to run this code and everytime i run demo_toolbox.py there comes an error "failed to load qt binding" i tried reinstalling matplotlib and also tried installing PYQt5 .
Need Help !!!
| null | null | null | {'base_commit': 'e32cf8f4ddb63d9a7603eeb31f1855b54926aee6', 'files': [{'path': 'toolbox/ui.py', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 8e6499b10d5a074bdfe8ee6db8eec60e1060ccc1 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/117 | ModuleNotFoundError: No module named 'tensorflow.contrib.seq2seq' | When running demo_cli.py
Python = 3.7.4
TensorFlow = 2.0 RC
CUDA = 10.1
cuDNN = Installed for right CUDA version
Windows = 10 | null | null | null | {'base_commit': '8e6499b10d5a074bdfe8ee6db8eec60e1060ccc1', 'files': [{'path': 'requirements.txt', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | c5c2261c97afe6ec5db1ef389eba1257f6cce8a2 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/275 | Speaker verification implementation | I need just the speaker verification part which is the implementation of [GENERALIZED END-TO-END LOSS FOR SPEAKER VERIFICATION](https://arxiv.org/pdf/1710.10467.pdf) paper, how I can proceed to get it please? | null | null | null | {'base_commit': 'c5c2261c97afe6ec5db1ef389eba1257f6cce8a2', 'files': [{'path': 'encoder/', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 7432046efc23cabf176f9fdc8d2fd67020059478 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/855 | Output audio spectrum - low frequences | Hi, Im am trying to train new model in polish language but after 476k steps output sound is very "robotic". I was trying to find why that's happened and noticed (based on my output and @blue-fish samples: https://blue-fish.github.io/experiments/RTVC-FT-1.html) that spectrum of this model don't include high frequences c... | null | null | null | {'base_commit': '7432046efc23cabf176f9fdc8d2fd67020059478', 'files': [{'path': 'synthesizer/hparams.py', 'Loc': {'(None, None, None)': {'mod': [77]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 98d0ca4d4d140a4bb6bc7d54c84b1915a79041d5 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/1122 | Requirements.txt failed to install with obscure issue with installing audioread | I ran into a few issues along the way that I was able to solve, namely errors like this:
WARNING: Failed to write executable - trying to use .deleteme logic
ERROR: Could not install packages due to an OSError: [WinError 2] The system cannot find the file specified:
'C:\\Python310\\Scripts\\f2py.exe'... | null | null | null | {'base_commit': '98d0ca4d4d140a4bb6bc7d54c84b1915a79041d5', 'files': [{'path': 'requirements.txt', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 95adc699c1deb637f485e85a5107d40da0ad94fc | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/717 | I can't use Dataset/Speaker/Utterance | I can't use the upper section in the software. when loading it shows:
Warning: you did not pass a root directory for datasets as argument.
How can I fix this?
Thank you
| null | null | null | {'base_commit': '95adc699c1deb637f485e85a5107d40da0ad94fc', 'files': [{'path': 'demo_toolbox.py', 'Loc': {'(None, None, None)': {'mod': [15]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 039f7e5402e6d9da7fad5022dae038cdfb507b39 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/13 | problem with utils.argutils in python 3.6 | Hi under win 10 64 bits trying using python 3.6 it failed to import the print_args wiht the fact that he can't find the argutils.
think i have a relative import error but can't solve it
btw nice job on what i heard on the youtube demo
if i mnaully try to import the utils from the root dir seems he load another uti... | null | null | null | {'base_commit': '039f7e5402e6d9da7fad5022dae038cdfb507b39', 'files': [{'path': 'synthesizer/__init__.py', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 7432046efc23cabf176f9fdc8d2fd67020059478 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/884 | Using a different speaker encoder | Hello, I really appreciate the work on display here. I was just wondering if I could use a different speaker encoder. If someone used a different encoder, could you explain the difficulties of replacing the encoder and how the results were different from the speaker encoder already in use? | null | null | null | {'base_commit': '7432046efc23cabf176f9fdc8d2fd67020059478', 'files': [{'path': 'toolbox/__init__.py', 'Loc': {"('Toolbox', 'add_real_utterance', 182)": {'mod': [191]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | a32962bb7b4827660646ac6dabf62309aea08a91 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/488 | preprocessing VoxCele2 is not working | While running encoder_preprocess on voxceleb2 dataset, I'm getting the following warning and nothing else happens. Not sure why?
```
raw: Preprocessing data for 5994 speakers.
raw: 0%| | 0/5994 [00:00<?, ?speakers/s]
/ho... | null | null | null | {'base_commit': 'a32962bb7b4827660646ac6dabf62309aea08a91', 'files': [{'path': 'encoder/preprocess.py', 'Loc': {"(None, 'preprocess_voxceleb2', 164)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 0713f860a3dd41afb56e83cff84dbdf589d5e11a | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/1065 | vocoder_dataset.py ValueError | I am trying to use the Librispeech dataset to train the vocoder.
And I got a ValueError while training.
```numpy.random._bounded_integers._rand_int32 ValueError: low >= high```
It occurs in line 61 of vocoder_dataset.py,
```mel_offsets = [np.random.randint(0, offset) for offset in max_offsets]```
So I assume ... | null | null | null | {'base_commit': '0713f860a3dd41afb56e83cff84dbdf589d5e11a', 'files': [{'path': 'synthesizer/hparams.py', 'Loc': {'(None, None, None)': {'mod': [88]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 5425557efe30863267f805851f918124191e0be0 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/651 | Resource exhausted: OOM when allocating tensor with shape[36,512,1,702] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc | hello.
Please help me, I do not know how to solve my problem problem.
I run and completed without errors
`python synthesizer_preprocess_audio.py <datasets_root>`
`python synthesizer_preprocess_embeds.py <datasets_root>/SV2TTS/synthesizer`
but after typing `python synthesizer_train.py my_run <datasets_root>/SV2T... | null | null | null | {'base_commit': '5425557efe30863267f805851f918124191e0be0', 'files': [{'path': 'synthesizer/hparams.py', 'Loc': {'(None, None, None)': {'mod': [243]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 77c0bd169d8158ed1cdb180cda73c24d3cacd778 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/1263 | Python 3.10.12 is not supported | When I ran python3.10 -m pip install numpy==1.20.3 on linux mint, I got an error while I was trying to install it. But it was totally fine when I used python3.8
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CorentinJ | Real-Time-Voice-Cloning | c5c2261c97afe6ec5db1ef389eba1257f6cce8a2 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/250 | [Errno 2] No such file or directory: 'encoder/_sources.txt' | I have this problem, but I can't understand what does this file contain? There is not _sources.txt in this repo | null | null | null | {'base_commit': 'c5c2261c97afe6ec5db1ef389eba1257f6cce8a2', 'files': [{'path': 'encoder_preprocess.py', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 5e400d474043044ba0e3e907a74b4baccb16ee7c | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/425 | Tensorflow.contrib file missing what to do | null | null | null | {'base_commit': '5e400d474043044ba0e3e907a74b4baccb16ee7c', 'files': [{'path': 'README.md', 'Loc': {'(None, None, 35)': {'mod': [35]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 9553eaa1748cf94814be322ec7b096d2d6bc7f28 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/419 | Getting an exception when browsing for files | For some reason, importing mp3 files is not working. Anyone got an idea on why this might be the case.? | null | null | null | {'base_commit': '9553eaa1748cf94814be322ec7b096d2d6bc7f28', 'files': [{'path': 'README.md', 'Loc': {'(None, None, 40)': {'mod': [40]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | c5c2261c97afe6ec5db1ef389eba1257f6cce8a2 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/221 | A couple inquiries about the colab version | So I have a setup using a copy of the colaboratory version, but I want to be able to generate a few sentences at a time without having to generate per sentence.
I understand that commas and periods don't work, but in the demonstration video it was mentioned that line breaks are a way to get around this for now... ho... | null | null | null | {'base_commit': 'c5c2261c97afe6ec5db1ef389eba1257f6cce8a2', 'files': [{'path': 'toolbox/__init__.py', 'Loc': {"('Toolbox', 'synthesize', 158)": {'mod': [170, 171, 172, 173, 174, 175]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | c5c2261c97afe6ec5db1ef389eba1257f6cce8a2 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/225 | Not code-savy but want to experiment with code | I have Python Spyder downloaded, but I do not know much about coding, or how to get to the stage where I can add audio and synthesize it. What would you recommend? | null | null | null | {'base_commit': 'c5c2261c97afe6ec5db1ef389eba1257f6cce8a2', 'files': [{'path': 'requirements.txt', 'Loc': {}}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 070a3c187f87136ebe92aa72766f8343772d414e | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/378 | i cant install NVIDIA CUDA | I can't install NVIDIA CUDA even though I followed everything that [this guide](https://poorlydocumented.com/2019/11/installing-corentinjs-real-time-voice-cloning-project-on-windows-10-from-scratch/l) told me to do. I also have tried searching for this problem on the internet, but none of them solves my problem. I also... | null | null | null | {'base_commit': '070a3c187f87136ebe92aa72766f8343772d414e', 'files': [{'path': 'demo_cli.py', 'Loc': {'(None, None, None)': {'mod': [34]}}, 'status': 'modified'}]} | [] | [] | [] | {
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CorentinJ | Real-Time-Voice-Cloning | 9553eaa1748cf94814be322ec7b096d2d6bc7f28 | https://github.com/CorentinJ/Real-Time-Voice-Cloning/issues/420 | New Audio Issue: Assertion Failed | This was working yesterday fine, and no big changes were made.
However, today starting up the demo toolbox loaded:
Assertion failed!
Program: C:\Users\paul1\AppData\Local\Programs\Python\Python37\python.exe
File: src/hostapi/wdmks/pa_win_wdmks.c, Line 1061
Expression: FALSE
I have tried reinstalling visual... | null | null | null | {} | [] | [] | [
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AUTOMATIC1111 | stable-diffusion-webui | 39827a3998afa3ea612e7cc9a475085765d4d509 | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/5134 | asking-for-help-with-local-system-issues | [Bug]: Non checkpoints found. Can't run without a checkpoint. | ### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
### What happened?
During the installation (windows), an error occurs :
```
venv "G:\Dev\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:... | null | null | null | {'base_commit': '39827a3998afa3ea612e7cc9a475085765d4d509', 'files': [{'path': 'modules/sd_models.py', 'Loc': {"(None, 'load_model', 230)": {'mod': []}}, 'status': 'modified'}]} | [] | [] | [] | {
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AUTOMATIC1111 | stable-diffusion-webui | fab73f2e7d388ca99cdb3d5de7f36c0b9a1a3b1c | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/11458 | bug-report | [Bug]: ModuleNotFoundError: No module named 'pytorch_lightning.utilities.distributed' | ### Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
### What happened?
Launching Web UI with arguments: --share --disable-safe-unpickle --no-half-vae --xformers --enable-insecure-extension --gradio-queue
2023-06-27 13:53:22.297173: I tensorflow/co... | null | null | null | {'base_commit': 'fab73f2e7d388ca99cdb3d5de7f36c0b9a1a3b1c', 'files': [{'path': 'extensions-builtin/LDSR/sd_hijack_ddpm_v1.py', 'Loc': {'(None, None, None)': {'mod': [17]}}, 'status': 'modified'}, {'path': 'modules/models/diffusion/ddpm_edit.py', 'Loc': {'(None, None, None)': {'mod': [22]}}, 'status': 'modified'}]} | [] | [] | [] | {
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AUTOMATIC1111 | stable-diffusion-webui | ef4c94e1cfe66299227aa95a28c2380d21cb1600 | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/3902 | [Feature Request]: | Finer control of CFG Scale? now it goes by 0.5 steps. I'm trying to replicate work i did on other app which have CFG scale control by 0.1. i cannot get the same result, of course.
| null | null | null | {} | [] | [
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AUTOMATIC1111 | stable-diffusion-webui | bf30673f5132c8f28357b31224c54331e788d3e7 | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/3301 | bug-report | Expected all tensors to be on the same device | RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select)
how to pick the CUDA:0 ？ | null | null | null | {'base_commit': 'bf30673f5132c8f28357b31224c54331e788d3e7', 'files': [{'path': 'requirements.txt', 'Loc': {'(None, None, 17)': {'mod': [17]}}, 'status': 'modified'}]} | [] | [] | [] | {
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AUTOMATIC1111 | stable-diffusion-webui | 39919c40dd18f5a14ae21403efea1b0f819756c7 | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/2190 | bug-report | How to use .ckpt model on repo | Hello everyone!
I was able to train a custom model using Dreambooth and I now have a custom ckpt trained on myself. Where do I put this file to be able to use it in this repo?
I dropped in into models but not sure what to do next?
Appreciate any help | null | null | null | {'base_commit': '39919c40dd18f5a14ae21403efea1b0f819756c7', 'files': [{'path': 'models/Stable-diffusion', 'Loc': {}}]} | [] | [] | [] | {
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AUTOMATIC1111 | stable-diffusion-webui | 556c36b9607e3f4eacdddc85f8e7a78b29476ea7 | https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/1614 | enhancement | Feature request: GPU temperature control | **Is your feature request related to a problem? Please describe.**
I don't like 85 degrees (Celsius) on my GPU, especially if it lasts more than 30 minutes or even 1 hour
**Describe the solution you'd like**
If temp on a GPU is more than {maxTemp} and it lasts {accumulateTempTime} it will pause processing for {coo... | null | null | null | {} | [] | [] | [
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python | cpython | c40b7afee28fb928fdc3f07a9a7e9d4ef17347ba | https://github.com/python/cpython/issues/39472 | docs | Wrong reference for specific minidom methods | BPO | [832251](https://bugs.python.org/issue832251)
--- | :---
Nosy | @freddrake
<sup>*Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.*</sup>
<details><summary>Show more details</summary><p>
GitHub fields:
```python
assignee = 'https://github.com... | null | null | null | {'base_commit': 'c40b7afee28fb928fdc3f07a9a7e9d4ef17347ba', 'files': [{'path': 'Doc/lib/xmldomminidom.tex', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "2\ndoc问题",
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python | cpython | 5a65c2d43607a5033d7171445848cde21f07d81d | https://github.com/python/cpython/issues/32681 | interpreter-core | .pyc writing/reading race condition (PR#189) | BPO | [210610](https://bugs.python.org/issue210610)
--- | :---
Nosy | @gvanrossum
<sup>*Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.*</sup>
<details><summary>Show more details</summary><p>
GitHub fields:
```python
assignee = 'https://github.co... | null | null | null | {'base_commit': '5a65c2d43607a5033d7171445848cde21f07d81d', 'files': [{'path': 'Doc/library/os.rst', 'Loc': {}}]} | [] | [
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python | cpython | adf03c3544084359d89e7a0bc2a5aa0561f1a0f2 | https://github.com/python/cpython/issues/68620 | stdlib
release-blocker | Upgrade windows builds to use OpenSSL 1.0.2c | BPO | [24432](https://bugs.python.org/issue24432)
--- | :---
Nosy | @pfmoore, @pitrou, @larryhastings, @giampaolo, @tiran, @tjguk, @benjaminp, @ned-deily, @alex, @bitdancer, @zware, @zooba, @dstufft
<sup>*Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current st... | null | null | null | {'base_commit': 'adf03c3544084359d89e7a0bc2a5aa0561f1a0f2', 'files': [{'path': 'PCbuild/get_externals.bat', 'Loc': {'(None, None, 57)': {'mod': [57]}}, 'status': 'modified'}, {'path': 'PCbuild/python.props', 'Loc': {'(None, None, 37)': {'mod': [37]}}, 'status': 'modified'}, {'path': 'PCbuild/readme.txt', 'Loc': {'(None... | [] | [] | [] | {
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python | cpython | 5198a5c7aa77367765ae03542b561845094ca30d | https://github.com/python/cpython/issues/48435 | type-bug
stdlib
topic-regex | re module treats raw strings as normal strings | BPO | [4185](https://bugs.python.org/issue4185)
--- | :---
Nosy | @gvanrossum, @loewis, @akuchling, @birkenfeld, @ezio-melotti
Files | <li>[raw-strings-with-re.txt](https://bugs.python.org/file11868/raw-strings-with-re.txt "Uploaded as text/plain at 2008-10-23.03:55:27 by @ezio-melotti"): Interactive Python session wit... | null | null | null | {'base_commit': '5198a5c7aa77367765ae03542b561845094ca30d', 'files': [{'path': 'Doc/library/re.rst', 'Loc': {}}]} | [] | [] | [] | {
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THUDM | ChatGLM-6B | ab6bcb4968bef335175c0b01972657961b2b1250 | https://github.com/THUDM/ChatGLM-6B/issues/565 | [BUG/Help] <title>使用ptuning微调时报错RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())] | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
Traceback (most recent call last):
File "main.py", line 429, in <module>
main()
File "main.py", line 112, in main
tokenizer = AutoTokenizer.from_pretrained(model_args.model_name_or_path, trust_remo... | null | null | null | {} | [] | [
"ice_text.model"
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} | null | |
THUDM | ChatGLM-6B | 801b1bb57690f0a99943f0a80c839b9ee120f3a7 | https://github.com/THUDM/ChatGLM-6B/issues/388 | 为什么不能用共享GPU内存呢[Feature] <title> | ### Is your feature request related to a problem? Please describe.
为什么不能用共享GPU内存呢
专用6G都满了但是共享GPU内存一点都没动
### Solutions
emm
### Additional context
_No response_ | null | null | null | {} | [] | [] | [
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THUDM | ChatGLM-6B | afe08a19ccadc8b238c218b245bb4c1c62598588 | https://github.com/THUDM/ChatGLM-6B/issues/770 | RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())] | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
运行python cli_demo.py报错
root@4uot40mdrplpv-0:/yx/ChatGLM-6B# python mycli_demo.py
Explicitly passing a `revision` is encouraged when loading a model with custom code to ensure no malicious code has been contrib... | null | null | null | {} | [] | [
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THUDM | ChatGLM-6B | d11eb5213e3c17225b47bb806a120dd45a80b126 | https://github.com/THUDM/ChatGLM-6B/issues/63 | How to fix error like this: torch.cuda.OutOfMemoryError: CUDA out of memory ? | OS: ubuntu 20.04
The error message said we need to change value of max_split_size_mb, but I search source code and cannot find any file contains max_split_size_mb, would you please provide some guidance about how to fix?
```
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████... | null | null | null | {'base_commit': 'd11eb5213e3c17225b47bb806a120dd45a80b126', 'files': [{'path': 'cli_demo.py', 'Loc': {'(None, None, None)': {'mod': [6]}}, 'status': 'modified'}]} | [] | [] | [] | {
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THUDM | ChatGLM-6B | a9fc0184446fba7f4f27addf519fea0b371df83a | https://github.com/THUDM/ChatGLM-6B/issues/417 | [Help] <title> Oracle Linux 7.9 运行int4模型出错，AttributeError: 'NoneType' object has no attribute 'int4WeightExtractionFloat' | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
/x/home/chatglm_env/lib/python3.7/site-packages/requests/__init__.py:104: RequestsDependencyWarning: urllib3 (1.26.14) or chardet (5.1.0)/charset_normalizer (2.0.12) doesn't match a supported version!
RequestsD... | null | null | null | {} | [] | [] | [
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THUDM | ChatGLM-6B | 0c6d1750ef6042338534c3c97002175fa1ae0499 | https://github.com/THUDM/ChatGLM-6B/issues/10 | question | 可以使用自己的数据微调吗 | null | null | null | null | {'base_commit': '0c6d1750ef6042338534c3c97002175fa1ae0499', 'files': [{'path': 'ptuning/', 'Loc': {}}, {'path': 'ptuning/', 'Loc': {}}]} | [] | [] | [] | {
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} | null |
THUDM | ChatGLM-6B | c55ecd89a079b86620cc722f2e21a14e3718d0f3 | https://github.com/THUDM/ChatGLM-6B/issues/39 | 6GB显卡提示显存不足 | 显卡：3060laptop 6GB
报错：RuntimeError: CUDA out of memory. Tried to allocate 96.00 MiB (GPU 0; 6.00 GiB total capacity; 5.27 GiB already allocated; 0 bytes free; 5.28 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Mem... | null | null | null | {'base_commit': 'c55ecd89a079b86620cc722f2e21a14e3718d0f3', 'files': [{'path': 'web_demo.py', 'Loc': {'(None, None, None)': {'mod': [5]}}, 'status': 'modified'}, {'path': 'cli_demo.py', 'Loc': {'(None, None, None)': {'mod': [6]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"web_demo.py",
"cli_demo.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
THUDM | ChatGLM-6B | 1d87dac585c8fafd708db16860b628928ec5a821 | https://github.com/THUDM/ChatGLM-6B/issues/532 | [BUG/Help] 这两天更新版本后，chat的微调好像用不了了 | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
前几天使用chat微调还是可以用的，那时候output文件是完整的包，而不是增量微调包。
这两天更新后，使用的还是项目自带的train_chat.sh，模型用的是int4。
output文件确实小了，但是却无法运行了，具体形式为运行以下代码
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.f... | null | null | null | {'base_commit': '1d87dac585c8fafd708db16860b628928ec5a821', 'files': [{'path': 'ptuning/main.py', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [
"ptuning/main.py"
],
"doc": [],
"test": [],
"config": [],
"asset": []
} | null | |
THUDM | ChatGLM-6B | edb127326a2d5afd855484f12a38e0119151f826 | https://github.com/THUDM/ChatGLM-6B/issues/723 | centos上，2个12g显存的显卡如何配置可以同时使用 | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
centos上，2个12g显存的显卡，无论是训练还是web，都始终用0号显卡，如何配置可以同时使用
### Expected Behavior
_No response_
### Steps To Reproduce
Centos7
12G nvida *2
### Environment
```markdown
- OS:Centos7
- Python:3.8
- Transformers:4.26.... | null | null | null | {'base_commit': 'edb127326a2d5afd855484f12a38e0119151f826', 'files': [{'path': 'ptuning/train.sh', 'Loc': {'(None, None, 4)': {'mod': [4]}}, 'status': 'modified'}]} | [] | [] | [] | {
"iss_type": "3",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Config\nOther 脚本"
} | {
"code": [],
"doc": [],
"test": [],
"config": [],
"asset": [
"ptuning/train.sh"
]
} | null | |
THUDM | ChatGLM-6B | 801b1bb57690f0a99943f0a80c839b9ee120f3a7 | https://github.com/THUDM/ChatGLM-6B/issues/394 | [BUG/Help] ValueError: 150000 is not in list | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
0%| | 19/30000 [31:30<828:54:23, 99.53s/it]
0%| | 20/30000 [33:09<828:37:17, 99.50s/it]
0%| | 21/30000 [34:48<828:09:42, 99.45s/it]Traceback (most recent call last):
File "/ro... | null | null | null | {} | [] | [
"ice_text.model",
"modeling_chatglm.py"
] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0\n2",
"info_type": "Code"
} | {
"code": [
"modeling_chatglm.py"
],
"doc": [],
"test": [],
"config": [],
"asset": [
"ice_text.model"
]
} | null | |
THUDM | ChatGLM-6B | 1047e446e5387aa06c856c95800f67beab8b80d4 | https://github.com/THUDM/ChatGLM-6B/issues/224 | [BUG/Help] ImportError: cannot import name 'GENERATION_CONFIG_NAME' from 'transformers.utils' | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
>>> model = AutoModel.from_pretrained("THUDM/chatglm-6b-int4",trust_remote_code=True).float()
Explicitly passing a `revision` is encouraged when loading a configuration with custom code to ensure no malicious cod... | null | null | null | {'base_commit': '1047e446e5387aa06c856c95800f67beab8b80d4', 'files': [{'path': 'requirements.txt', 'Loc': {}}]} | [] | [] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "0",
"info_type": "Code"
} | {
"code": [],
"doc": [],
"test": [],
"config": [
"requirements.txt"
],
"asset": []
} | null | |
THUDM | ChatGLM-6B | b65142b5e54e52b27c1c1269e1b4abd83efcce45 | https://github.com/THUDM/ChatGLM-6B/issues/422 | [BUG/Help] <title>KeyError: 'lm_head.weight' | ### Is there an existing issue for this?
- [X] I have searched the existing issues
### Current Behavior
报错：KeyError: 'lm_head.weight'
### Expected Behavior
Explicitly passing a `revision` is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
Expl... | null | null | null | {} | [] | [
"pytorch_model-00001-of-00008.bin",
"pytorch_model-00008-of-00008.bin"
] | [] | {
"iss_type": "1",
"iss_reason": "5",
"loc_way": "comment",
"loc_scope": "2",
"info_type": "Models/数据"
} | {
"code": [],
"doc": [],
"test": [],
"config": [],
"asset": [
"pytorch_model-00001-of-00008.bin",
"pytorch_model-00008-of-00008.bin"
]
} | null |
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