id int64 393k 2.82B | repo stringclasses 68
values | title stringlengths 1 936 | body stringlengths 0 256k ⌀ | labels stringlengths 2 508 | priority stringclasses 3
values | severity stringclasses 3
values |
|---|---|---|---|---|---|---|
2,546,976,699 | flutter | Add date selection callbacks to the DatePickerDialog and DateRangePickerDialog | ### Use case
The date selection callbacks are missing from the date picker dialogs.
### Proposal
1. Expose the `onDateChanged` callback from **CalendarDatePicker** to **DatePickerDialog**.
2. Expose `onStartDateChanged` & `onEndDateChanged` from **DateRangePickerDialog**. | c: new feature,framework,f: material design,waiting for PR to land (fixed),f: date/time picker,c: proposal,P3,team-design,triaged-design | low | Minor |
2,546,980,097 | create-react-app |
Facebook appa | If you have a general question about Create React App or about building an app with Create React App we encourage you to post in GitHub Discussions instead of this issue tracker. The maintainers and other community members can provide help and answer your questions there: https://github.com/facebook/create-react-app/discussions
If you're looking for general information on using React, the React docs have a list of resources: https://reactjs.org/community/support.html
If you've discovered a bug or would like to propose a change please use one of the other issue templates.
Thanks!
| needs triage | low | Critical |
2,547,037,298 | pytorch | tensor.triu_(1) not working properly with large matrix | ### 🐛 Describe the bug
Ideally, tensor.triu_(1) should fill lower triangular part with 0. However, it fails to do so when the matrix is large. For example:
```
q_len = 100000
causal_mask = torch.full((q_len, q_len), float('-inf')).to(device='cuda')
causal_mask.triu_(1) # Fill lower triangular part with 0
```
result:
```
tensor([[0., -inf, -inf, ..., -inf, -inf, -inf],
[0., 0., -inf, ..., -inf, -inf, -inf],
[0., 0., 0., ..., -inf, -inf, -inf],
...,
[-inf, -inf, -inf, ..., -inf, -inf, -inf],
[-inf, -inf, -inf, ..., -inf, -inf, -inf],
[-inf, -inf, -inf, ..., -inf, -inf, -inf]], device='cuda:0')
```
The first row that is not started with 0 is 42950.
### Versions
Collecting environment information...
PyTorch version: 2.1.2+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.29.6
Libc version: glibc-2.35
Python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-4.19.91-014.15-kangaroo.alios7.x86_64-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA A100-SXM4-80GB
Nvidia driver version: 535.54.03
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU: skipped
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] open_clip_torch==2.26.1
[pip3] torch==2.1.2
[pip3] torchvision==0.16.2
[pip3] triton==2.1.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] open-clip-torch 2.26.1 pypi_0 pypi
[conda] torch 2.1.2 pypi_0 pypi
[conda] torchvision 0.16.2 pypi_0 pypi
[conda] triton 2.1.0 pypi_0 pypi
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @ptrblck @jianyuh @nikitaved @pearu @mruberry @walterddr @xwang233 @Lezcano @albanD | high priority,module: cuda,triaged,module: 64-bit,module: linear algebra,module: correctness (silent),module: python frontend | low | Critical |
2,547,052,129 | godot | Unhelpful error: Cannot assign contents of "Array[Object]" to "Array[Object]". | ### Tested versions
v4.3.stable.official [77dcf97d8]
### System information
Godot v4.3.stable - Windows 10.0.19045 - Vulkan (Forward+) - dedicated NVIDIA GeForce GTX 670 (NVIDIA; 30.0.14.7514) - Intel(R) Core(TM) i7-2600K CPU @ 3.40GHz (8 Threads)
### Issue description
This issue is about two related things:
1. An error message that is not helpful in determining what the actual problem with the code is.
2. A difference in behavior between 4.3 and 4.2.2 for the same code.
- Namely that 4.2.2 either runs without an error or gives a more helpful error, while 4.3 always gives an unhelpful error.
To save/load data to/from disk, I'm converting a dictionary to bytes using `var_to_bytes()` and then converting it back with `bytes_to_var()`. One of the dictionary's keys is of type `Array[Animation]`. I get an error when trying to assign an `Array[Animation]` variable to have the same value as this key from the `bytes_to_var()` dictionary.
Godot v4.3.stable.official [77dcf97d8] gives the following error, which is not very helpful in explaining what the problem is:
```
E: Cannot assign contents of "Array[Object]" to "Array[Object]".
<C++ Error> Method/function failed.
<C++ Source> core/variant/array.cpp:245 @ assign()
```
Running the same code in Godot v4.2.2.stable.official [15073afe3] works without any error.
But if I use a custom Resource instead of a built-in one, 4.2.2 also gives an error, but it is different and helped me realize that the converted variable wasn't what I was expecting it to be:
```
E: Attempted to assign an object of type 'EncodedObjectAsID' into a TypedArray, which does not inherit from 'Resource'.
<C++ Error> Condition "!ClassDB::is_parent_class(object->get_class_name(), class_name)" is true. Returning: false
<C++ Source> core/variant/container_type_validate.h:129 @ validate_object()
```
I understand that the problem with my code is that I didn't allow Objects to be converted to/from bytes. But the error in 4.3 was not helpful to me in understanding what was going wrong. And also there also seems to be a difference in behavior with the code working without complaint in 4.2.2 but giving an error in 4.3.
### Steps to reproduce
Run code in MRP using Godot 4.3 to see error in debugger. My code was using a custom Resource but I still get the error in 4.3 with the code below.
### Minimal reproduction project (MRP)
```gdscript
var dict := {}
var arr: Array[Animation] = []
dict.some_key = arr
var bytes = var_to_bytes(dict)
var new_dict: Dictionary = bytes_to_var(bytes)
var new_arr: Array[Animation] = Array(new_dict.get("some_key", []), TYPE_OBJECT, &"Animation", Animation)
``` | bug,topic:core,topic:gdscript | low | Critical |
2,547,065,299 | godot | Error: Couldn't load project data at path ".". occurring to someone trying to play my browser only game on itch.io | ### Tested versions
Verson 4.3
### System information
Godot v4.3.stable - Windows 10.0.22631 - GLES3 (Compatibility) - NVIDIA GeForce RTX 3070 Ti (NVIDIA; 32.0.15.6081) - 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz (16 Threads)
### Issue description
This issue has only happened to one person who has tried playing my game on itch.io in Chrome and OperaGX.
The game is not downloadable and is only available to play in the browser.
The project file was not changed after I submitted it to the game jam.
They posted this screenshot showing the error:
I'm new to game development and the engine so apologies in advance if I've done this incorrectly
### Steps to reproduce
Unsure of steps as this has only occurred once with one person. No one else seems to have this issue.
### Minimal reproduction project (MRP)
N/A | platform:web,needs testing,topic:export | low | Critical |
2,547,134,930 | go | proposal: log/slog: option to print msg key last | ### Proposal Details
Consider the output of slog Text or JSON handler log outputs for below code
```go
logger := slog.New(slog.NewJSONHandler(os.Stdout, nil))
logger.Info("hello", "count", 3)
logger2 := logger.With("app", "alpha")
logger3 := logger.With("app", "beta ")
loggerGrp := logger3.WithGroup("grp1")
logger2.Info("short msg", "id", 1)
logger3.Info("long long long long abc def abc msg", "count", 100)
loggerGrp.Info("asd asd asd asd asd", "code", "ok")
loggerGrp.Warn("not found", "id", 1000)
logger2.Info("short msg", "id", 1)
logger3.Info("long long long long abc def abc msg", "count", 100)
loggerGrp.Info("asd asd asd asd asd", "code", "ok")
loggerGrp.Warn("not found", "id", 1000)
```
Output - JSONHandler
```json
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"hello","count":3}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"short msg","app":"alpha","id":1}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"long long long long abc def abc msg","app":"beta ","count":100}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"asd asd asd asd asd","app":"beta ","grp1":{"code":"ok"}}
{"time":"2009-11-10T23:00:00Z","level":"WARN","msg":"not found","app":"beta ","grp1":{"id":1000}}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"short msg","app":"alpha","id":1}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"long long long long abc def abc msg","app":"beta ","count":100}
{"time":"2009-11-10T23:00:00Z","level":"INFO","msg":"asd asd asd asd asd","app":"beta ","grp1":{"code":"ok"}}
{"time":"2009-11-10T23:00:00Z","level":"WARN","msg":"not found","app":"beta ","grp1":{"id":1000}}
```
Although, this is easily machine parsable, but this doesn't look very human readable from one aspect.
When reading logs, the Attr added using `With` or `WithGroup` are added in end. This makes it difficult to navigate and find next line of interest.
The value for `msg` key is variable in length. As humans normally read from left to right, it takes effort to find the next common key attribute. E.g. in above case, the common key attribute is `app` which could be either alpha or beta.
If msg is added last, all Attr added via `With` and `WithGroup` will be better visually aligned. It will be easy to jump to next log for say "app": "alpha".
```json
{"time":"2009-11-10T23:00:00Z","level":"INFO","count":3,"msg":"hello"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","count":3,"msg":"hello"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"alpha","id":1,"msg":"short msg"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"beta ","count":100,"msg":"long long long long abc def abc msg"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"beta ","grp1":{"code":"ok"},"msg":"asd asd asd asd asd"}
{"time":"2009-11-10T23:00:00Z","level":"WARN","app":"beta ","grp1":{"id":1000},"msg":"not found"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"alpha","id":1,"msg":"short msg"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"beta ","count":100,"msg":"long long long long abc def abc msg"}
{"time":"2009-11-10T23:00:00Z","level":"INFO","app":"beta ","grp1":{"code":"ok"},"msg":"asd asd asd asd asd"}
{"time":"2009-11-10T23:00:00Z","level":"WARN","app":"beta ","grp1":{"id":1000},"msg":"not found"}
```
If some flag in HandlerOptions is added like `AddMsgInLast`, it will make reading logs easier for cases like
1. loggers grouped into some heirarchy using With/WithGroup
2. multiple go programs running in same container but having common key attributes like "app": "alpha", "app": "beta " for differentiation. | Proposal | low | Major |
2,547,171,893 | flutter | Cannot add new events while doing an addStream when using Broadcast Stream in tests | ### Steps to reproduce
The following code throws an error, but if I remove `.broadcast`, so the streamcontroller becomes regular, then it works fine.
`print("done onPressed")` is never called.
### Expected results
Test passes
### Actual results
Test throws StateError exception
### Code sample
<details><summary>Code sample</summary>
```dart
import 'dart:async';
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
void main() {
testWidgets("cooldown retry", (tester) async {
await tester.pumpWidget(MyApp());
await tester.tap(find.text("none"));
await tester.pumpAndSettle();
expect(find.textContaining("10"), findsOneWidget);
await tester.pumpAndSettle(Duration(seconds: 11));
expect(find.text("none"), findsOneWidget);
});
}
class MyApp extends StatelessWidget {
const MyApp({super.key});
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter Demo',
debugShowCheckedModeBanner: false,
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: Scaffold(
body: Center(
child: _SendSMS(),
),
),
);
}
}
class _SendSMS extends StatefulWidget {
// ignore: unused_element
const _SendSMS({super.key});
@override
State<_SendSMS> createState() => _SendSMSState();
}
class _SendSMSState extends State<_SendSMS> {
late final streamController = StreamController<int>.broadcast();
@override
void dispose() {
print("closed");
if (!streamController.isClosed) streamController.close();
super.dispose();
}
@override
Widget build(BuildContext context) {
return StreamBuilder(
stream: streamController.stream,
initialData: 0,
builder: (context, cooldown) {
print("snapshot: ${cooldown.data}");
return TextButton(
onPressed: () async {
streamController.add(10);
print("start onPressed");
await streamController.addStream(
Stream.periodic(
Duration(seconds: 1),
(i) {
print("value: ${10 - i - 1}");
return 10 - i - 1;
},
).take(10),
);
print("done onPressed");
},
child: Text(
(cooldown.data ?? 0) > 0 ? cooldown.data.toString() : "none"),
);
});
}
}
```
</details>
### Screenshots or Video
_No response_
### Logs
<details><summary>Logs</summary>
```console
snapshot: 0
start onPreesed
snapshot: 10
value: 9
value: 8
value: 7
value: 6
value: 5
value: 4
value: 3
value: 2
value: 1
value: 0
snapshot: 0
closed
══╡ EXCEPTION CAUGHT BY WIDGETS LIBRARY ╞═══════════════════════════════════════════════════════════
The following StateError was thrown while finalizing the widget tree:
Bad state: Cannot add new events while doing an addStream
When the exception was thrown, this was the stack:
#1 _SendSMSState.dispose (file:///C:/Users/kkras/StudioProjects/testing/test/use_stream_test.dart:51:54)
#2 StatefulElement.unmount (package:flutter/src/widgets/framework.dart:5826:11)
#3 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2077:13)
#4 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#5 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#6 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#7 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#8 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#9 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#10 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#11 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#12 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#13 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#14 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#15 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#16 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#17 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#18 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#19 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#20 MultiChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6998:16)
#21 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#22 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#23 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#24 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#25 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#26 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#27 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#28 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#29 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#30 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#31 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#32 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#33 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#34 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#35 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#36 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#37 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#38 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#39 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#40 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#41 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#42 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#43 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#44 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#45 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#46 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#47 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#48 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#49 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#50 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#51 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#52 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#53 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#54 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#55 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#56 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#57 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#58 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#59 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#60 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#61 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#62 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#63 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#64 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#65 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#66 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#67 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#68 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#69 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#70 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#71 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#72 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#73 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#74 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#75 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#76 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#77 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#78 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#79 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#80 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#81 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#82 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#83 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#84 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#85 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#86 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#87 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#88 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#89 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#90 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#91 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#92 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#93 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#94 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#95 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#96 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#97 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#98 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#99 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#100 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
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#351 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#352 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#353 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#354 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#355 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#356 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#357 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#358 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#359 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#360 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#361 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#362 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#363 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#364 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#365 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#366 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#367 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#368 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#369 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#370 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#371 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#372 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#373 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#374 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#375 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#376 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#377 SingleChildRenderObjectElement.visitChildren (package:flutter/src/widgets/framework.dart:6886:14)
#378 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#379 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#380 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#381 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#382 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#383 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#384 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#385 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#386 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#387 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#388 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#389 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#390 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#391 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#392 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#393 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#394 _InactiveElements._unmount.<anonymous closure> (package:flutter/src/widgets/framework.dart:2075:7)
#395 ComponentElement.visitChildren (package:flutter/src/widgets/framework.dart:5669:14)
#396 _InactiveElements._unmount (package:flutter/src/widgets/framework.dart:2073:13)
#397 ListIterable.forEach (dart:_internal/iterable.dart:49:13)
#398 _InactiveElements._unmountAll (package:flutter/src/widgets/framework.dart:2086:25)
#399 BuildOwner.lockState (package:flutter/src/widgets/framework.dart:2954:15)
#400 BuildOwner.finalizeTree (package:flutter/src/widgets/framework.dart:3264:7)
#401 AutomatedTestWidgetsFlutterBinding.drawFrame (package:flutter_test/src/binding.dart:1454:19)
#402 RendererBinding._handlePersistentFrameCallback (package:flutter/src/rendering/binding.dart:468:5)
#403 SchedulerBinding._invokeFrameCallback (package:flutter/src/scheduler/binding.dart:1397:15)
#404 SchedulerBinding.handleDrawFrame (package:flutter/src/scheduler/binding.dart:1318:9)
#405 AutomatedTestWidgetsFlutterBinding.scheduleWarmUpFrame (package:flutter_test/src/binding.dart:1379:5)
#406 _runWidget (package:flutter/src/widgets/binding.dart:1466:7)
#407 runApp (package:flutter/src/widgets/binding.dart:1399:3)
#408 TestWidgetsFlutterBinding._runTestBody (package:flutter_test/src/binding.dart:1039:7)
<asynchronous suspension>
<asynchronous suspension>
(elided 2 frames from dart:async and package:stack_trace)
════════════════════════════════════════════════════════════════════════════════════════════════════
```
</details>
### Flutter Doctor output
<details><summary>Doctor output</summary>
```console
[√] Flutter (Channel stable, 3.24.3, on Microsoft Windows [Version 10.0.19045.4894], locale pl-PL)
• Flutter version 3.24.3 on channel stable at C:\Users\kkras\fvm\versions\3.24.3
• Upstream repository https://github.com/flutter/flutter.git
• Framework revision 2663184aa7 (13 days ago), 2024-09-11 16:27:48 -0500
• Engine revision 36335019a8
• Dart version 3.5.3
• DevTools version 2.37.3
[√] Windows Version (Installed version of Windows is version 10 or higher)
[√] Android toolchain - develop for Android devices (Android SDK version 34.0.0)
• Android SDK at C:\Users\kkras\AppData\Local\Android\Sdk
• Platform android-35, build-tools 34.0.0
• ANDROID_HOME = C:\Users\kkras\AppData\Local\Android\Sdk
• Java binary at: C:\Program Files\Android\Android Studio\jbr\bin\java
• Java version OpenJDK Runtime Environment (build 17.0.11+0--11852314)
• All Android licenses accepted.
[X] Chrome - develop for the web (Cannot find Chrome executable at .\Google\Chrome\Application\chrome.exe)
! Cannot find Chrome. Try setting CHROME_EXECUTABLE to a Chrome executable.
[X] Visual Studio - develop Windows apps
X Visual Studio not installed; this is necessary to develop Windows apps.
Download at https://visualstudio.microsoft.com/downloads/.
Please install the "Desktop development with C++" workload, including all of its default components
[√] Android Studio (version 2024.1)
• Android Studio at C:\Program Files\Android\Android Studio
• Flutter plugin can be installed from:
https://plugins.jetbrains.com/plugin/9212-flutter
• Dart plugin can be installed from:
https://plugins.jetbrains.com/plugin/6351-dart
• Java version OpenJDK Runtime Environment (build 17.0.11+0--11852314)
[√] VS Code (version 1.93.1)
• VS Code at C:\Users\kkras\AppData\Local\Programs\Microsoft VS Code
• Flutter extension version 3.96.0
[√] Connected device (2 available)
• Windows (desktop) • windows • windows-x64 • Microsoft Windows [Version 10.0.19045.4894]
• Edge (web) • edge • web-javascript • Microsoft Edge 129.0.2792.52
[√] Network resources
• All expected network resources are available.
! Doctor found issues in 2 categories.
```
</details>
| a: tests,c: crash,framework,has reproducible steps,P2,team-framework,triaged-framework,found in release: 3.24,found in release: 3.26 | low | Critical |
2,547,176,896 | ant-design | FloatButton Group 不支持尺寸设置或者自动撑开，导致内容超过以后无法全部显示 | ### What problem does this feature solve?
https://stackblitz.com/edit/react-kcgl2x?file=demo.tsx
现在FloatButton group的 ant-float-btn-body size是写死的，固定32px，.ant-float-btn-icon 也是写死的18px ，无法自适应,，也无法设置， 如果内容超出就很难看
可以看上面demo代码效果
要解决只能是覆盖css
### What does the proposed API look like?
1 自适应内容
2 或者可以设置 .ant-float-btn-body .ant-float-btn-icon 的 style
<!-- generated by ant-design-issue-helper. DO NOT REMOVE --> | Inactive,improvement | low | Minor |
2,547,214,868 | node | UV_USE_IO_URING does not update file handle position | I suspect possible regression. Not sure what version but must have been recent:
```js
await stream.promises.pipeline(src, fs.createWriteStream(dstPath))
```
Will not create a full sized file. I suspect that since `createWriteStream` doesn't explicitly set `position` during writes it expects the file handle position to be properly updated, which does not seem to be the case with URING. | confirmed-bug,fs,libuv,linux | low | Major |
2,547,225,434 | rust | incorrect revision syntax is silently accepted | https://github.com/rust-lang/rust/blob/1b5aa96d6016bafe50e071b45d4d2e3c90fd766f/tests/ui/traits/coherence-alias-hang.rs#L1-L5
This test never actually tests the new solver. It has to be `//@[next] compile-flags: -Znext-solver`. We should lint here ✨ | C-enhancement,T-bootstrap,A-compiletest | low | Minor |
2,547,268,329 | flutter | DropdownMenu.didUpdateWidget should re-match initialSelection when dropdownMenuEntries have changed | ### Use case
In my use case, the ` DropdownMenu.dropdownMenuEntries` are asynchronously fetched from the database and assigned after the Future has been resolved. The `initialSelection`, however, has already been set in the first build cycle.
The problem lays in that in `DropdownMenu.didUpdateWidget()`, where the `initialSelection` is not matched again against the updated menu entries. See https://github.com/flutter/flutter/blob/9d42f826d71b1b9beb2d8c07bcdad731ba78968d/packages/flutter/lib/src/material/dropdown_menu.dart#L552-L557
This will lead to an empty field not showing the matching `initialSelection`, but yet showing a correct list of items in the dropdown. Quite confusing...
Finding out the cause after debugging, I use the following, hopefully temporary, workaround:
```
DropdownMenu<String>(
initialSelection: items.isEmpty ? null : _selectedItem ?? widget.item,
... etc
)
```
### Proposal
I would like the `initialSelection` to be matched again against the new value set for `dropdownMenuEntries` as is done when the intialSelection has changed. See https://github.com/flutter/flutter/blob/9d42f826d71b1b9beb2d8c07bcdad731ba78968d/packages/flutter/lib/src/material/dropdown_menu.dart#L561-L569
IMHO this should be provided by Flutter directly. | framework,f: material design,c: proposal,P3,workaround available,team-design,triaged-design | low | Critical |
2,547,335,355 | rust | Github sometimes closes issues that have been re-opened | When a commit contains the magic words `Fixes #xxx`, if that commit gets pushed to a repo by someone with permissions to close rust-lang issues, the issue will be closed. (I don't know the exact requirements, but it's something like this.) When a PR has these magic words in the PR description, that gets added to the merge commit message, and causes the same issue. This can lead to accidental issue closure when such a commit gets merged into our repo, then the issue gets reopened, and then the commit gets pushed somewhere.
I've seen this a few times over the last years. The most recent one is https://github.com/rust-lang/rust/issues/102048.
@rust-lang/infra is there anything we can do here? Like disable the "auto close based on commit message" feature (but keep it for PR descriptions!)? If not, maybe this could be added to the wishlist for the next meeting you have with Github people.
| T-infra,A-meta | low | Minor |
2,547,338,898 | ollama | Support loading concurrent model(s) on CPU when GPU is full | ### What is the issue?
I deployed the qwen2.5:72b-instruct-q6_K model, which occupies 4*3090 and a total of 75G GPU memory. When I use llama3:latest, it will not use RAM and CPU (755G/128 core), it will unload qwen2.5:72b-instruct-q6_K and load llama3:latest to GPU, even though qwen2.5:72b-instruct-q6_K is in use at this time.
### OS
Linux
### GPU
Nvidia
### CPU
Intel
### Ollama version
0.1.10 | feature request | low | Major |
2,547,362,038 | tauri | [feat] 避免每次从网络上拉取资源，有必要做的脚本优化 | ### Describe the problem
网络的不稳定性会，打包过程中由于拉取资源需访问网络导致速度很慢或被中断
### Describe the solution you'd like
动态生成的build_appimage.sh中多处都是需要从网络上拉取资源，尤其是从raw.githubusercontent.com拉取镜像资源，导致中国国内用户因为国家防火墙问题无法继续。
希望提供资源的可选下载地址，并且拉取资源可选择由本地复制。
### Alternatives considered
_No response_
### Additional context
_No response_ | type: feature request | low | Minor |
2,547,373,040 | PowerToys | 快捷键指南功能，显示的指南都是英文的 | ### Description of the new feature / enhancement
指南显示的文本会智能根据当前语言翻译过来
### Scenario when this would be used?
快捷键指南
### Supporting information
_No response_ | Needs-Triage | low | Minor |
2,547,380,873 | flutter | running "flutter doctor --android-licenses" in bash leads to "segmentation fault" - problem in CI/CD | ### Steps to reproduce
1. update to version 3.24.3
2. open bash (Git)
3. run "flutter doctor --android-licenses"
### Expected results
1. tool works
2. exit code == 0
### Actual results
1. tool works, but shows error "Segmentation fault"
2. exit code == 139
### Code sample
<details open><summary>Code sample</summary>
```dart
[Paste your code here]
```
</details>
### Screenshots or Video
error case Flutter version 3.24.3 :
no error case Flutter version 3.22.3:
### Logs
<details open><summary>Logs</summary>
```console
[Paste your logs here]
```
</details>
### Flutter Doctor output
<details open><summary>Doctor output</summary>
```console
[√] Flutter (Channel stable, 3.24.3, on Microsoft Windows [Version 10.0.22631.4169], locale de-DE)
• Flutter version 3.24.3 on channel stable at D:\flutter
• Upstream repository https://github.com/flutter/flutter.git
• Framework revision 2663184aa7 (2 weeks ago), 2024-09-11 16:27:48 -0500
• Engine revision 36335019a8
• Dart version 3.5.3
• DevTools version 2.37.3
[√] Windows Version (Installed version of Windows is version 10 or higher)
[√] Android toolchain - develop for Android devices (Android SDK version 34.0.0)
• Android SDK at C:\Users\cblankenberg\AppData\Local\Android\sdk
• Platform android-34, build-tools 34.0.0
• Java binary at: C:\Program Files\Android\Android Studio\jbr\bin\java
• Java version OpenJDK Runtime Environment (build 17.0.10+0--11572160)
• All Android licenses accepted.
[√] Chrome - develop for the web
• Chrome at C:\Program Files\Google\Chrome\Application\chrome.exe
[√] Visual Studio - develop Windows apps (Visual Studio Community 2022 17.9.7)
• Visual Studio at C:\Program Files\Microsoft Visual Studio\2022\Community
• Visual Studio Community 2022 version 17.9.34902.65
• Windows 10 SDK version 10.0.22621.0
[√] Android Studio (version 2023.3)
• Android Studio at C:\Program Files\Android\Android Studio
• Flutter plugin can be installed from:
https://plugins.jetbrains.com/plugin/9212-flutter
• Dart plugin can be installed from:
https://plugins.jetbrains.com/plugin/6351-dart
• Java version OpenJDK Runtime Environment (build 17.0.10+0--11572160)
[√] VS Code, 64-bit edition (version 1.93.1)
• VS Code at C:\Program Files\Microsoft VS Code
• Flutter extension version 3.96.0
[√] Connected device (3 available)
• Windows (desktop) • windows • windows-x64 • Microsoft Windows [Version 10.0.22631.4169]
• Chrome (web) • chrome • web-javascript • Google Chrome 122.0.6261.131
• Edge (web) • edge • web-javascript • Microsoft Edge 129.0.2792.52
[√] Network resources
• All expected network resources are available.
• No issues found!
```
</details>
| c: crash,platform-android,tool,t: flutter doctor,P2,team-tool,triaged-tool | low | Critical |
2,547,382,171 | go | runtime: make `injectglist` starting spinning m | ### Proposal Details
Can we set the parameter `spinning` of the `runtime.startm` function be set to true by default to make full use of spinning ms to run tasks and avoid additional thread wake up, such as `runtime.injectglist` and `runtime.handoffp`? | Performance,NeedsInvestigation,compiler/runtime | low | Major |
2,547,413,989 | three.js | WebGPURenderer: BatchedMesh triangles aren't reported in renderer.info.render.triangles | ### Description
Currently BatchMesh didnt report his triangle number correctly which can be inconvenient for debugging.
As see in this example the renderer.info.render.triangles isnt updated correctly : https://jsfiddle.net/15k3c4xb/15/
### Reproduction steps
1. add a batchmesh to the scene
2. log the renderer.info.render.triangles
### Code
```js
import * as THREE from 'three'
import { OrbitControls } from 'three/addons/controls/OrbitControls.js'
let mesh, renderer, scene, camera, controls
init()
function init() {
// renderer
renderer = new THREE.WebGPURenderer({ alpha: false })
renderer.setSize(window.innerWidth, window.innerHeight)
renderer.setPixelRatio(window.devicePixelRatio)
renderer.setAnimationLoop(animate)
document.body.appendChild(renderer.domElement)
// scene
scene = new THREE.Scene()
// camera
camera = new THREE.PerspectiveCamera(40, window.innerWidth / window.innerHeight, 1, 100)
camera.position.set(15, 0, 0)
// controls
controls = new OrbitControls(camera, renderer.domElement)
const box = new THREE.BoxGeometry(1, 1, 1)
const sphere = new THREE.SphereGeometry(1)
const material = new THREE.MeshStandardNodeMaterial()
const batchedMesh = new THREE.BatchedMesh(10, 5000, 10000, material)
const boxGeometryId = batchedMesh.addGeometry(box)
const sphereGeometryId = batchedMesh.addGeometry(sphere)
const dummy = new THREE.Object3D()
let rand = ()=> THREE.MathUtils.randFloat ( -5,5)
for(let i=0; i<5; i++){
let instance = batchedMesh.addInstance(Math.random()>.5?boxGeometryId:sphereGeometryId)
dummy.position.set(rand(), rand(), rand())
dummy.rotation.set(rand(), rand(), rand())
dummy.updateMatrix()
batchedMesh.setMatrixAt(instance, dummy.matrix)
}
scene.add(batchedMesh)
scene.add(new THREE.DirectionalLight(0xDDDDDff, 2))
animate()
}
function animate(now = 0) {
renderer.renderAsync(scene, camera)
const { drawCalls, triangles } = renderer.info.render
const { geometries } = renderer.info.memory
document.querySelector(".drawcallsCount").innerHTML = drawCalls
document.querySelector(".trianglesCount").innerHTML = triangles
document.querySelector(".geometriesCount").innerHTML = geometries
}
```
### Live example
https://jsfiddle.net/15k3c4xb/15/
### Screenshots
_No response_
### Version
r168
### Device
_No response_
### Browser
_No response_
### OS
_No response_ | Bug | low | Critical |
2,547,453,947 | godot | SCons does not respect `debug_symbols="yes"` in `custom.py` | ### Tested versions
- Reproducible in: master branch
### System information
Win 10 + Visual Studio 2022 + MSVC toolchain
### Issue description
Building template_release with debug symbol to profile the engine (using Visual Studio's built-in profiler). Since I don't know how to pass cmdline args in VS, I write all args in custom.py, including `debug_symbols="yes"`, but no pdb files are generated.
Further tests shows that scons seems to completely ignore `debug_symbols` in custom.py and always use the default for each target. Specify debug_symbols from cmdline is not affected.
Not very sure but I found this code piece in `SConstruct` in the root:
```Python
# line 181-209
customs = ["custom.py"]
......
opts = Variables(customs, ARGUMENTS)
......
opts.Add(BoolVariable("debug_symbols", "Build with debugging symbols", False))
```
It seems to override my args in custom.py.
Also the `production` flag does not consider this:
```Python
# line 611-613
if env["production"]:
env["debug_symbols"] = methods.get_cmdline_bool("debug_symbols", False)
```
Not tested but other variables are likely to use the same logic, so I guess my custom.py is completely ignored?
Expected behavior: scons respect build options in custom.py
### Steps to reproduce
- download latest master branch code
- create a `custom.py`, add `debug_symbols="yes"` in it
- build with no cmdline args ( just `scons` )
- check the bin folder, there should be no pdb file
### Minimal reproduction project (MRP)
Godot engine itself | bug,topic:buildsystem,confirmed | low | Critical |
2,547,464,958 | vscode | Minimap folding marker names hide | <!-- ⚠️⚠️ Do Not Delete This! feature_request_template ⚠️⚠️ -->
<!-- Please read our Rules of Conduct: https://opensource.microsoft.com/codeofconduct/ -->
<!-- Please search existing issues to avoid creating duplicates. -->
<!-- Describe the feature you'd like. -->
In certain cases, everything becomes unreadable. Maybe there's a way to hide it. I didn't find it
| editor-minimap,under-discussion | low | Minor |
2,547,490,077 | pytorch | [inductor][cpu]pyhpc_isoneutral_mixing singel thread AMP cpp wrapper performance regression in 2024-09-22 nightly release | ### 🐛 Describe the bug
<p>AMP static shape CPP wrapper</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>suite</th>
<th>name</th>
<th>thread</th>
<th>batch_size_new</th>
<th>speed_up_new</th>
<th>inductor_new</th>
<th>eager_new</th>
<th>compilation_latency_new</th>
<th>batch_size_old</th>
<th>speed_up_old</th>
<th>inductor_old</th>
<th>eager_old</th>
<th>compilation_latency_old</th>
<th>Ratio Speedup(New/old)</th>
<th>Eager Ratio(old/new)</th>
<th>Inductor Ratio(old/new)</th>
<th>Compilation_latency_Ratio(old/new)</th>
</tr>
</thead>
<tbody>
<tr>
<td>torchbench</td>
<td>pyhpc_isoneutral_mixing</td>
<td>single</td>
<td>1</td>
<td>35.939996</td>
<td>4.5546999999999996e-05</td>
<td>0.001636958997812</td>
<td>16.185845</td>
<td>1</td>
<td>41.469536</td>
<td>3.9793000000000003e-05</td>
<td>0.001650197246048</td>
<td>16.201631</td>
<td>0.87</td>
<td>1.01</td>
<td>0.87</td>
<td>1.0</td>
</tr>
</tbody>
</table>
<p>AMP dynamic shape CPP wrapper</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>suite</th>
<th>name</th>
<th>thread</th>
<th>batch_size_new</th>
<th>speed_up_new</th>
<th>inductor_new</th>
<th>eager_new</th>
<th>compilation_latency_new</th>
<th>batch_size_old</th>
<th>speed_up_old</th>
<th>inductor_old</th>
<th>eager_old</th>
<th>compilation_latency_old</th>
<th>Ratio Speedup(New/old)</th>
<th>Eager Ratio(old/new)</th>
<th>Inductor Ratio(old/new)</th>
<th>Compilation_latency_Ratio(old/new)</th>
</tr>
</thead>
<tbody>
<tr>
<td>torchbench</td>
<td>pyhpc_isoneutral_mixing</td>
<td>single</td>
<td>1</td>
<td>34.470612</td>
<td>4.7884000000000004e-05</td>
<td>0.0016505907850080002</td>
<td>16.190656</td>
<td>1</td>
<td>41.298161</td>
<td>4.05e-05</td>
<td>0.0016725755205</td>
<td>16.127852</td>
<td>0.83</td>
<td>1.01</td>
<td>0.85</td>
<td>1.0</td>
</tr>
</tbody>
</table>
The bad commit: cdef760560049ebda5fb7e30b1703f345fe05cfa
```
/workspace/pytorch# bash inductor_single_run.sh single inference performance torchbench pyhpc_isoneutral_mixing amp first static cpp
Testing with cpp wrapper.
Testing with freezing on.
single-thread testing....
loading model: 0it [00:00, ?it/s]
cpu eval pyhpc_isoneutral_mixing
running benchmark: 100%|██████████████████████████████████████████████████████████| 50/50 [00:00<00:00, 520.46it/s]
33.564x
WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
cpu,pyhpc_isoneutral_mixing,1,33.564253,0.048496,8.654499,0.810945,39.342080,48.513843,746,1,0,0,0,0,0
```
The last good commit: 4842f0fac6783c4a0354bb674d33dfa78a392e47
```
/workspace/pytorch# bash inductor_single_run.sh single inference performance torchbench pyhpc_isoneutral_mixing amp first static cpp
Testing with cpp wrapper.
Testing with freezing on.
single-thread testing....
loading model: 0it [00:00, ?it/s]
cpu eval pyhpc_isoneutral_mixing
running benchmark: 100%|██████████████████████████████████████████████████████████| 50/50 [00:00<00:00, 517.47it/s]
39.422x
WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
cpu,pyhpc_isoneutral_mixing,1,39.421643,0.041728,8.581601,0.812124,39.400243,48.515072,746,1,0,0,0,0,0
```
</table>
### Versions
</table><p>SW info</p><table border="1" class="dataframe table">
<thead>
<tr style="text-align: right;">
<th>name</th>
<th>target_branch</th>
<th>target_commit</th>
<th>refer_branch</th>
<th>refer_commit</th>
</tr>
</thead>
<tbody>
<tr>
<td>torchbench</td>
<td>main</td>
<td>23512dbe</td>
<td>main</td>
<td>23512dbe</td>
</tr>
<tr>
<td>torch</td>
<td>main</td>
<td>9731ccb9e0c9f09dcd3435a47fc40fe6fb960504</td>
<td>main</td>
<td>c64ae601ba9eb3ad2cd3402a14f6ac83c0ab7eba</td>
</tr>
<tr>
<td>torchvision</td>
<td>main</td>
<td>0.19.0a0+d23a6e1</td>
<td>main</td>
<td>0.19.0a0+d23a6e1</td>
</tr>
<tr>
<td>torchtext</td>
<td>main</td>
<td>0.16.0a0+b0ebddc</td>
<td>main</td>
<td>0.16.0a0+b0ebddc</td>
</tr>
<tr>
<td>torchaudio</td>
<td>main</td>
<td>2.5.0a0+ba696ea</td>
<td>main</td>
<td>2.5.0a0+97ed7b3</td>
</tr>
<tr>
<td>torchdata</td>
<td>main</td>
<td>0.7.1a0+0790338</td>
<td>main</td>
<td>0.7.1a0+0790338</td>
</tr>
<tr>
<td>dynamo_benchmarks</td>
<td>main</td>
<td>nightly</td>
<td>main</td>
<td>nightly</td>
</tr>
</tbody>
</table>
</table>
Repro:
[inductor_single_run.sh](https://github.com/chuanqi129/inductor-tools/blob//main/scripts/modelbench/inductor_single_run.sh)
bash inductor_single_run.sh single inference performance torchbench pyhpc_isoneutral_mixing amp first static cpp
Suspected guilty commit: https://github.com/pytorch/pytorch/commit/cdef760560049ebda5fb7e30b1703f345fe05cfa
cc @ezyang @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @WeizhuoZhang-intel @chuanqi129
[torchbench-pyhpc_isoneutral_mixing-inference-amp-static-cpp-single-performance-drop_guilty_commit.log](https://github.com/user-attachments/files/17128779/torchbench-pyhpc_isoneutral_mixing-inference-amp-static-cpp-single-performance-drop_guilty_commit.log)
| oncall: pt2,module: inductor,oncall: cpu inductor | low | Critical |
2,547,507,772 | rust | Tracking Issue for `non_null_from_ref` | Feature gate: `#![feature(non_null_from_ref)]`
This is a tracking issue for adding the convenience constructors `from_ref` and `from_mut` to `core::ptr::NonNull`.
### Public API
```rust
// core::ptr
impl<T: ?Sized> NonNull<T> {
pub const fn from_ref(r: &T) -> Self;
pub const fn from_mut(r: &mut T) -> Self;
}
```
### Steps / History
- [x] API change proposal (ACP): [#448](https://github.com/rust-lang/libs-team/issues/448/)
- [x] Implementation: #130822
- [ ] Final comment period (FCP)
- [ ] Stabilization PR
### Unresolved Questions
- None yet.
| T-libs-api,C-tracking-issue | low | Minor |
2,547,511,074 | pytorch | A `complex` tensor with `linalg.matrix_norm()` returns a `float` tensor is returned even if I set `dtype=torch.complex64` | ### 🐛 Describe the bug
A `int` tensor with [linalg.matrix_norm()](https://pytorch.org/docs/stable/generated/torch.linalg.matrix_norm.html) gets the error message as shown below:
```python
import torch
from torch import linalg
my_tensor = torch.tensor([[-2, -1, 0],
[1, 2, 3]])
linalg.matrix_norm(input=my_tensor) # Error
```
> RuntimeError: linalg.matrix_norm: Expected a floating point or complex tensor as input. Got Long
So, I used a `complex` tensor with `linalg.matrix_norm()` but a `float` tensor is returned even if I set `dtype=torch.complex64` as shown below:
```python
import torch
from torch import linalg
my_tensor = torch.tensor([[-2.+0.j, -1.+0.j, 0.+0.j],
[1.+0.j, 2.+0.j, 3.+0.j]])
linalg.matrix_norm(input=my_tensor)
# tensor(4.3589)
linalg.matrix_norm(input=my_tensor, dtype=torch.complex64)
# tensor(4.3589)
```
### Versions
```python
import torch
torch.__version__ # '2.3.0'
```
cc @ezyang @anjali411 @dylanbespalko @mruberry @Lezcano @nikitaved @amjames @jianyuh @pearu @walterddr @xwang233 | triaged,module: complex,module: linear algebra | low | Critical |
2,547,513,103 | ui | [bug]: Fast clicking/taping when ticking checkboxes will return it to its original state | ### Describe the bug
When multiple checkboxes are present on a single page, there is an issue where rapidly clicking a checkbox can cause it to revert to its previous state. This behavior appears to be triggered when a "double-click" (dblclick) browser event is registered. It is really hard to reproduce it on a destop, but on mobile i can reproduce it every time.
The problem has been observed specifically in the Safari browser on iOS devices.
For further reference, please see the related GitHub issue: [React Issue #19841](https://github.com/facebook/react/issues/19841).
A demonstration of this behavior can be found in the following video: [Video Example](https://github.com/user-attachments/assets/3e7d23e9-1a71-4871-a01d-5f6380173fc9)
Someho ChakraUI managed to make this issue a thing in a past.
https://v2.chakra-ui.com/docs/components/checkbox/usage
### Affected component/components
Checkbox
### How to reproduce
1. Have multiple checkboxes on one page (or go to https://ui.shadcn.com/docs/components/checkbox | Form Section)
2. Try to check/uncheck them quickly.
### Codesandbox/StackBlitz link
https://ui.shadcn.com/docs/components/checkbox
### Logs
_No response_
### System Info
```bash
It works the same in Simulator and on Real Device
iOS: 18.0
Safari for iOS
```
### Before submitting
- [x] I've made research efforts and searched the documentation
- [x] I've searched for existing issues | bug | low | Critical |
2,547,515,717 | pytorch | torch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::linalg_inv' to ONNX opset version 18 is not supported | ### 🐛 Describe the bug
I’m attempting to export my model to ONNX using opset version 18, but I’m encountering an error related to the `aten::linalg_inv` operator not being supported. I’ve tried multiple opset versions and updated all relevant packages, but the issue persists.
The error message I receive is:
```
torch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::linalg_inv' to ONNX opset version 18 is not supported.
```
### Environment Details:
- **Torch version:** 2.4.1+cu124
- **Torchvision version:** 2.4.1+cu124
- **ONNX version:** 1.16.2
- **ONNXRuntime version:** 1.19.2 (including GPU support)
- **Python version:** [Your Python version]
- **OS:** [Your operating system]
### Steps to Reproduce:
1. Define a model using the `torch.linalg.inv()` operation.
2. Attempt to export the model to ONNX using `torch.onnx.export`.
3. The export fails due to the unsupported `aten::linalg_inv` operator.
Here’s a sample of the export code I’m using:
```python
input_names = ['source', 'target_frame', 'source_head_segmap', 'seg_target', 'source_head_blend']
output_names = ['output']
torch.onnx.export(
reconstruction_module,
(source, target_frame, source_head_segmap, seg_target, source_head_blend),
onnx_output_path,
export_params=True,
opset_version=18,
do_constant_folding=True,
input_names=input_names,
output_names=output_names,
verbose=True
)
```
### Expected Behavior:
The model should export successfully to ONNX format, supporting the `linalg_inv` operation.
### Actual Behavior:
The export fails with the following error message:
```
torch.onnx.errors.UnsupportedOperatorError: Exporting the operator 'aten::linalg_inv' to ONNX opset version 18 is not supported.
```
### What I’ve Tried:
- Tested opset versions 11 through 18.
- Updated all related packages (torch, torchvision, onnx, onnxruntime, onnxruntime-gpu).
- Searched for potential workarounds or alternatives, but found no solutions that maintain the model’s functionality.
### Request:
Could you please provide support for the `aten::linalg_inv` operator in ONNX export, or suggest a potential workaround that retains the matrix inversion functionality?
Thank you for your time and assistance!
### Versions
torch : 2.4.1+cu124
torchvision : 2.4.1+cu124
onnxruntime : 1.19.2
onnxruntime-gpu : 1.19.2
onnx : 1.16.2
windows: 11
cuda: 12.5
gpu: 4060 | module: onnx,triaged | low | Critical |
2,547,528,526 | PowerToys | Fancy Zones - Multiple Layouts Available while holding shift | ### Description of the new feature / enhancement
When using fancy zones you are locked into one specific layout. You can obviously drag and drop in the gutter of a layout to access both (like if you had a ultra wide with a 4 column view you could access 2 of the 4 columns with the gutter) but what is missing is other specific layouts like (4 square grid) or 25 / 75, etc... What would be nice is to be able to drag to a specific area (like the very top bar of the screen) and a sidebar (topbar) slides down which has your layouts where you can mouse over and it changes to that layout (while still holding shift), which opens up basically "every" layout without having to let go of the window and without having to individually go back in and select a new layout. Would be nice to be able to do this while continuing to hold down shift and drag the window so you don't need any additional input or any additional toggles. It should all work based on hover and time over the button.
Example:
Hold shift, grab a window. Fancy zones shows up with a layout.
while holding shift, drag the window to the very top of the screen, hold for a few seconds, and the top pane slides down showing your multiple custom views. while holding shift, mouse over one of those layouts and pause for a few seconds, and that layout loads. while continuing to hold shift, drag the window to the new area and let go and it will snap to that fancy zone..
### Scenario when this would be used?
This would be useful when switching workflows. IE: Youtube vs IDE Development. or Game Development vs Web Development. Web or Application Dev would be mostly dual column or triple columns where general desktop (like web, email, teams, etc would be more of a 4 up grid layout).
### Supporting information
_No response_ | Needs-Triage | low | Minor |
2,547,539,652 | tensorflow | Failed to synchronize the stop event: CUDA_ERROR_UNKNOWN: unknown error | Hello together,
I am trying to run the new-benchmark AI for my new platform:
https://pypi.org/project/new-ai-benchmark/
My System configuration is as follows:
* TF Version: 2.17.0
* Platform: Linux-6.8.0-45-generic-x86_64-with-glibc2.35
* CPU: 13th Gen Intel(R) Core(TM) i9-13900E
* CPU RAM: 62 GB
* GPU/0: NVIDIA L4
* GPU RAM: 20.3 GB
* CUDA Version: 12.4
* CUDA Build: V12.4.131
arun@arun:~$ nvidia-smi
Wed Sep 25 12:52:43 2024
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.107.02 Driver Version: 550.107.02 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA L4 On | 00000000:01:00.0 Off | 0 |
| N/A 55C P8 13W / 72W | 14MiB / 23034MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 1373 G /usr/lib/xorg/Xorg 4MiB |
+-----------------------------------------------------------------------------------------+
While executing the program, at any point of time while running, it fails to complete.
```
2024-09-25 10:02:40.968881: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:1857] failed to synchronize the stop event: CUDA_ERROR_UNKNOWN: unknown error
E0000 00:00:1727251360.968902 4778 gpu_timer.cc:162] INTERNAL: Error destroying CUDA event: CUDA_ERROR_UNKNOWN: unknown error
E0000 00:00:1727251360.968910 4778 gpu_timer.cc:168] INTERNAL: Error destroying CUDA event: CUDA_ERROR_UNKNOWN: unknown error
2024-09-25 10:02:40.969770: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: UNKNOWN: CUDNN_STATUS_EXECUTION_FAILED
in external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc(6053): 'status'
[[{{node resnet_v2_152/block2/unit_8/bottleneck_v2/conv2/Conv2D}}]]
2024-09-25 10:02:40.969784: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: UNKNOWN: CUDNN_STATUS_EXECUTION_FAILED
in external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc(6053): 'status'
[[{{node resnet_v2_152/block2/unit_8/bottleneck_v2/conv2/Conv2D}}]]
[[output/_3]]
2024-09-25 10:02:40.969798: I tensorflow/core/framework/local_rendezvous.cc:423] Local rendezvous recv item cancelled. Key hash: 16128423615390660009
2024-09-25 10:02:40.992816: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleUnload(it.second)' failed with 'CUDA_ERROR_UNKNOWN'
2024-09-25 10:02:40.992867: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleUnload(it.second)' failed with 'CUDA_ERROR_UNKNOWN'
2024-09-25 10:02:40.992874: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleUnload(it.second)' failed with 'CUDA_ERROR_UNKNOWN'
2024-09-25 10:02:40.992880: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleUnload(it.second)' failed with 'CUDA_ERROR_UNKNOWN'
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/tensorflow/python/client/session.py", line 1401, in _do_call
return fn(*args)
File "/usr/lib/python3/dist-packages/tensorflow/python/client/session.py", line 1384, in _run_fn
return self._call_tf_sessionrun(options, feed_dict, fetch_list,
File "/usr/lib/python3/dist-packages/tensorflow/python/client/session.py", line 1477, in _call_tf_sessionrun
return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict,
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
```
In another instance, there is another reason for failure:
```
Failed to enqueue async memcpy from device to host: CUDA_ERROR_UNKNOWN: unknown error; host dst: 0x763a34bfcf48; GPU src: 0x76387c443400; size: 8=0x8
2024-09-25 11:53:30.387757: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:1595] failed to free device memory at 0x76387c443400; result: CUDA_ERROR_UNKNOWN: unknown error
2024-09-25 11:53:30.387762: W tensorflow/core/kernels/gpu_utils.cc:88] Failed to check cudnn convolutions for out-of-bounds reads and writes with an error message: 'Failed to memcpy from device to host.'; skipping this check. This only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once.
2024-09-25 11:53:30.388810: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: UNKNOWN: CUDNN_STATUS_EXECUTION_FAILED
in external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc(6053): 'status'
[[{{node resnet_v2_50/block3/unit_1/bottleneck_v2/shortcut/Conv2D}}]]
2024-09-25 11:53:30.388848: F ./tensorflow/core/kernels/conv_2d_gpu.h:1028] Non-OK-status: GpuLaunchKernel( SwapDimension1And2InTensor3UsingTiles<T, kNumThreads, kTileSize, kTileSize, conjugate>, total_tiles_count, kNumThreads, 0, d.stream(), input, input_dims, output)
Status: INTERNAL: unknown error
```
Could you please help in resolving the issue?
Thank you
Arun | type:build/install,subtype: ubuntu/linux,2.17 | medium | Critical |
2,547,547,055 | pytorch | The MPS Backend sometimes samples outside of distribution domain with `multinomial` | ### 🐛 Describe the bug
Using the MPS backend, it is possible to sample elements outside of the domain when using `multinomial`. See below for code snippet:
```python
import torch
import torch.distributions
device = torch.device("mps")
# 10 dimensional distribution, expected max output is 9
violating_dist = torch.tensor([4.3330236804e-04, 1.6706718498e-07, 5.6105983504e-07, 2.5240040486e-05,
5.4649823142e-05, 5.5108112283e-03, 9.9348586798e-01, 4.5977579077e-08,
4.8896443332e-04, 3.4132514770e-07], device=device)
sample = torch.multinomial(violating_dist, 100000000, True)
# >> 11, outside domain!
print(torch.max(sample))
# This distribution is the one above with default printing precision
almost_similar_non_violating_dist = torch.tensor([4.3330e-04, 1.6707e-07, 5.6106e-07, 2.5240e-05, 5.4650e-05, 5.5108e-03,
9.9349e-01, 4.5978e-08, 4.8896e-04, 3.4133e-07], device=device)
sample = torch.multinomial(almost_similar_non_violating_dist, 100000000, True)
# >> 9
print(torch.max(sample))
# Violating distribution but on cpu
sample = torch.multinomial(violating_dist.cpu(), 100000000, True)
# >> 9
print(torch.max(sample))
```
So for some reason, on MPS this particular probability tensor sometimes samples an 11 even though there are only 10 elements it can sample from (and hence the maximum should be 9). Furthermore, it doesn't happen with the same tensor when defined with lower precision, nor does it happen with the CPU backend.
### Versions
Collecting environment information...
PyTorch version: 2.4.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: macOS 14.7 (arm64)
GCC version: Could not collect
Clang version: 15.0.0 (clang-1500.3.9.4)
CMake version: Could not collect
Libc version: N/A
Python version: 3.9.6 (default, Feb 3 2024, 15:58:27) [Clang 15.0.0 (clang-1500.3.9.4)] (64-bit runtime)
Python platform: macOS-14.7-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Apple M3 Max
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==2.0.2
[pip3] storchastic==0.3.7
[pip3] torch==2.4.1
[pip3] torchvision==0.19.1
[conda] No relevant packages
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | triaged,module: correctness (silent),module: mps | low | Critical |
2,547,583,245 | ant-design | Don't depreciate Collapse.Panel | ### What problem does this feature solve?
Right now I am getting a warning regarding depreciation of [Collapse.Panel](https://ant.design/components/collapse), while the new API is ideal for simple FAQ accordion, for much more complex collapse such as form collapse, the list is not ideal, it's better to keep both the API.
### What does the proposed API look like?
Don't depreciate the Collapse.Panel, in Collapse Component as it's ideal for more complex elements.
<!-- generated by ant-design-issue-helper. DO NOT REMOVE --> | Inactive,unconfirmed | low | Minor |
2,547,591,863 | vscode | New copilot chat icons are of different width doesn't look good | Earlier
Newer
The new icons has different width see the @ and send icons width is larger than other two icons which doesn't look good.
Not sure why we have introduced these two skinny icons even though they are taking the same 22 * 22 space
| bug,chat | low | Minor |
2,547,595,564 | godot | Godot editor crashes when trying to connect new signal to node | ### Tested versions
4.3
### System information
Windows 11
### Issue description
Connect new signal to a node, i configure the editor to use VSCode as main script editor
It already happened 3 times but i don't know the exact problem
(a detail that can be no necessary, i was streaming all the 3 times that the crash happened and even OBS crashed)
(well in fact it freezes the godot editor, i must kill the process from task manager)
### Steps to reproduce
Connect a new signal to node, it crashes exactly when opening the script in VSCode with the created function
### Minimal reproduction project (MRP)
it happens randomly, I apologize for the short description but really i don't know the exact cause of this problem | topic:editor,needs work,needs testing,crash | low | Critical |
2,547,600,796 | storybook | Internal: Sandbox vitest tests do not include symlinked stories | ### Describe the bug
Seems like our Vitest sandbox tests are only testing the basic stories, and not any of the symlinked stories at all. I quickly checked that the behavior works in Vitest `~2.0.0` but does not in Vitest `~2.1.0`.
Take a look in a recent run in `next`: https://app.circleci.com/pipelines/github/storybookjs/storybook/84147/workflows/ae66030f-9e87-494b-a0db-cd3016f2a198/jobs/708910
Notice that only the basic stories are tested. There are 8 tests in that run, it should be around 190.
<img width="985" alt="image" src="https://github.com/user-attachments/assets/5d613200-e01e-4b05-b71d-07852309034a">
To reproduce:
- create a vite based sandbox
- run `yarn vitest`
- experience the issue
| build | low | Critical |
2,547,621,000 | tauri | [bug] Chinese characters cannot be input on Linux which is ubuntu 22.04. | ### Describe the bug
When compiling and running on Ubuntu 22.04 , Chinese cannot be input in the dialog box. Is it because some versions are not matched on linux?
tauri version = "1.2.4"
### Reproduction
_No response_
### Expected behavior
_No response_
### Full `tauri info` output
```text
none
```
### Stack trace
_No response_
### Additional context
_No response_ | type: bug,platform: Linux,status: needs triage | low | Critical |
2,547,672,724 | godot | Bug cannot open project Godot 4.3 its says my opengl need 3.0 but my opengl is 3.0 | ### Tested versions
I tested on 4.3
intel core i3 4130
Intel Hd graphics 4300
### System information
Windows 10 Godot 4.3 {compability Overriden) intel core i3 4130
### Issue description
not just that i cannot to try the project when i try the project its crash
### Steps to reproduce
if you just want to open the project Just use cmd
### Minimal reproduction project (MRP)
I dont know how to fix please help | needs testing | low | Critical |
2,547,710,654 | rust | Tracking Issue for `option_array_transpose` | Feature gate: `#![feature(option_array_transpose)]`
This is a tracking issue for the `option_array_transpose`.
This feature permits going from an `[Option<T>; N]` to `Option<[T; N]>`.
### Public API
```rust
// core::option
impl<T, const N: usize> [Option<T>; N] {
fn transpose(self) -> Option<[T; N]>;
}
```
### Steps / History
- [x] Implementation: https://github.com/rust-lang/rust/pull/130829
- [ ] Final comment period (FCP)[^1]
- [ ] Stabilization PR
### Unresolved Questions
- The operation is irreversible (contrary to the other `transpose` methods), should it be named differently? https://github.com/rust-lang/rust/pull/130829#issuecomment-2386765701
[^1]: https://std-dev-guide.rust-lang.org/feature-lifecycle/stabilization.html | T-libs-api,C-tracking-issue | low | Minor |
2,547,721,251 | ollama | AMD ROCm Card can not use flash attention | ### What is the issue?
My cards is w7900, and rocm driver is 6.3 , I found the llama-cpp server started by Ollama always without -fa flag.
I check the code , found :
// only cuda (compute capability 7+) and metal support flash attention
if g.Library != "metal" && (g.Library != "cuda" || g.DriverMajor < 7) {
flashAttnEnabled = false
}
This code sames wrong.
Ref: https://github.com/Dao-AILab/flash-attention/pull/1010 Support for RoCM has been added tk flash attention 2
### OS
Linux
### GPU
AMD
### CPU
Intel
### Ollama version
_No response_ | feature request,amd | low | Minor |
2,547,768,578 | yt-dlp | [Youtube] Request for update of --datebefore --dateafter behaviour when downloading videos chronologically via channels. | ### DO NOT REMOVE OR SKIP THE ISSUE TEMPLATE
- [X] I understand that I will be **blocked** if I *intentionally* remove or skip any mandatory\* field
### Checklist
- [X] I'm requesting a site-specific feature
- [X] I've verified that I have **updated yt-dlp to nightly or master** ([update instructions](https://github.com/yt-dlp/yt-dlp#update-channels))
- [X] I've checked that all provided URLs are playable in a browser with the same IP and same login details
- [X] I've searched [known issues](https://github.com/yt-dlp/yt-dlp/issues/3766) and the [bugtracker](https://github.com/yt-dlp/yt-dlp/issues?q=) for similar issues **including closed ones**. DO NOT post duplicates
- [X] I've read the [guidelines for opening an issue](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#opening-an-issue)
- [X] I've read about [sharing account credentials](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#are-you-willing-to-share-account-details-if-needed) and I'm willing to share it if required
### Region
Singapore
### Example URLs
https://www.youtube.com/@NileRed
### Provide a description that is worded well enough to be understood
When a youtube channel input like https://www.youtube.com/@NileRed is given to yt-dlp, it parses ALL /video and /shorts, then downloads them sequentially by chronological order, latest upload first, as its what is given by the API. Its not possible to sort in any other way.
In this case, If an option like --dateafter or --datebefore is used, many unnecessary requests are sent to youtube for videos that clearly will not match a filter.
Example
yt-dlp https://www.youtube.com/@NileRed --dateafter 21001231 will match 0 videos, since the earliest video is in 2024. However it will check through EVERY video, even the ones before 2024, which is unnecessary and slow.
Similarly, yt-dlp https://www.youtube.com/@NileRed --datebefore 00010101 will also match 0 videos, but it will check every video until the very first one.
Until youtube changes this, I believe this additional checks are not necessary at all.
Therefore I suggest 2 changes.
1) --datebefore runs the downloading backwards, starting from the oldest video in the channel.
EDIT: an existing workaround is -I "::-1"
2) a switch like --date-skip 5, that skips process after it has checked 5 videos and they do not match the date requirements.
Expected behaviour should then be
yt-dlp https://www.youtube.com/@NileRed --dateafter 20240101 --date-skip 3
Downloads videos after 20240101
skip
skip
skip
Download shorts after 20240101
skip
skip
skip
exit
### Provide verbose output that clearly demonstrates the problem
- [X] Run **your** yt-dlp command with **-vU** flag added (`yt-dlp -vU <your command line>`)
- [ ] If using API, add `'verbose': True` to `YoutubeDL` params instead
- [X] Copy the WHOLE output (starting with `[debug] Command-line config`) and insert it below
### Complete Verbose Output
```shell
yt-dlp --datebefore 00010101 https://www.youtube.com/@NileRed --verbose
[debug] Command-line config: ['--datebefore', '00010101', 'https://www.youtube.com/@NileRed', '--verbose']
[debug] User config "config": ['']
[debug] Encodings: locale cp1252, fs utf-8, pref cp1252, out utf-8, error utf-8, screen utf-8
[debug] yt-dlp version nightly@2024.09.24.232842 from yt-dlp/yt-dlp-nightly-builds [fa2be9a7c] (pip)
[debug] Python 3.12.6 (CPython AMD64 64bit) - Windows-10-10.0.19045-SP0 (OpenSSL 3.0.15 3 Sep 2024)
[debug] exe versions: ffmpeg N-115203-gbaf8651d56-20240513 (setts), ffprobe N-115203-gbaf8651d56-20240513, phantomjs 2.1.1
[debug] Optional libraries: Cryptodome-3.20.0, brotli-1.1.0, certifi-2024.08.30, mutagen-1.47.0, requests-2.32.3, sqlite3-3.45.3, urllib3-2.2.3, websockets-13.1
[debug] Proxy map: {}
[debug] Request Handlers: urllib, requests, websockets
[debug] Loaded 1835 extractors
[youtube:tab] Extracting URL: https://www.youtube.com/@NileRed
[youtube:tab] @NileRed: Downloading webpage
[debug] [youtube:tab] Selected tab: 'videos' (videos), Requested tab: ''
[youtube:tab] Downloading all uploads of the channel. To download only the videos in a specific tab, pass the tab's URL
[youtube:tab] @NileRed/shorts: Downloading webpage
[debug] [youtube:tab] Selected tab: 'shorts' (shorts), Requested tab: 'shorts'
[youtube:tab] Downloading as multiple playlists, separated by tabs. To download as a single playlist instead, pass https://www.youtube.com/playlist?list=UUFhXFikryT4aFcLkLw2LBLA
[download] Downloading playlist: NileRed
[info] Playlist metadata is already present
[info] Playlist description is already present
[info] Playlist thumbnail is already present
[youtube:tab] Playlist NileRed: Downloading 2 items of 2
[download] Downloading item 1 of 2
[download] Downloading playlist: NileRed - Videos
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 1: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 2: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 3: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 4: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 5: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 6: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 7: Downloading API JSON
[youtube:tab] UCFhXFikryT4aFcLkLw2LBLA page 8: Downloading API JSON
[info] Playlist metadata is already present
[info] Playlist description is already present
[info] Playlist thumbnail is already present
[youtube:tab] Playlist NileRed - Videos: Downloading 251 items of 251
[download] Downloading item 1 of 251
[youtube] Extracting URL: https://www.youtube.com/watch?v=jLX1-tNnvEo
[youtube] jLX1-tNnvEo: Downloading webpage
[youtube] jLX1-tNnvEo: Downloading ios player API JSON
[youtube] jLX1-tNnvEo: Downloading web creator player API JSON
[debug] Loading youtube-nsig.c9dd45ed from cache
[debug] [youtube] Decrypted nsig 2HqjJ75qkzDAoMUdpF => 98pO5hZ1yv7PTw
[debug] Loading youtube-nsig.c9dd45ed from cache
[debug] [youtube] Decrypted nsig 5NEltXam7GOypjuW9U => oUvC7giTxr91DA
[youtube] jLX1-tNnvEo: Downloading m3u8 information
[info] jLX1-tNnvEo: Downloading subtitles: en
[debug] Sort order given by user: res, fps, quality, size, br
[debug] Sort order given by extractor: quality, res, fps, hdr:12, source, vcodec:vp9.2, channels, acodec, lang, proto
[debug] Formats sorted by: hasvid, ie_pref, res, fps, quality, size, br, hdr:12(7), source, vcodec:vp9.2(10), channels, acodec, lang, proto, asr, vext, aext, hasaud, id
[download] 2024-08-31 upload date is not in range 0001-01-01 to 0001-01-01
[download] Downloading item 2 of 251
[youtube] Extracting URL: https://www.youtube.com/watch?v=zMaTrgUKC1w
[youtube] zMaTrgUKC1w: Downloading webpage
[youtube] zMaTrgUKC1w: Downloading ios player API JSON
[youtube] zMaTrgUKC1w: Downloading web creator player API JSON
[debug] Loading youtube-nsig.c9dd45ed from cache
[debug] [youtube] Decrypted nsig -cJPY_nl4hSZIU_t8D => 7TWGBCwrqo6oAA
[debug] Loading youtube-nsig.c9dd45ed from cache
[debug] [youtube] Decrypted nsig 9ZYUkzMszB2kUfdUpo => U8HeG4ENlGQDsQ
[youtube] zMaTrgUKC1w: Downloading m3u8 information
[info] zMaTrgUKC1w: Downloading subtitles: en
[debug] Sort order given by user: res, fps, quality, size, br
[debug] Sort order given by extractor: quality, res, fps, hdr:12, source, vcodec:vp9.2, channels, acodec, lang, proto
[debug] Formats sorted by: hasvid, ie_pref, res, fps, quality, size, br, hdr:12(7), source, vcodec:vp9.2(10), channels, acodec, lang, proto, asr, vext, aext, hasaud, id
[download] 2024-03-16 upload date is not in range 0001-01-01 to 0001-01-01
etcetc
```
| question,site:youtube | low | Critical |
2,547,819,993 | flutter | Windows, multi-window, crash on creating and closing window | ### Steps to reproduce
Related issue
https://github.com/MixinNetwork/flutter-plugins/issues/352
Run the demo https://github.com/lukasz-lukasz-lukasz/flutter-plugins/commit/4ae8e28318187ee8936ffcccdd37c3d433e53f15
### Expected results
No crash
### Actual results
Crashed
### Code sample
<details open><summary>Code sample</summary>
https://github.com/lukasz-lukasz-lukasz/flutter-plugins/commit/4ae8e28318187ee8936ffcccdd37c3d433e53f15
### Screenshots or Video
<details open>
<summary>Screenshots / Video demonstration</summary>
[Upload media here]
</details>
### Logs
Maybe the same cause https://github.com/flutter/flutter/issues/137973#issuecomment-1799326980
> I suspect the proper fix is to make the `FlutterViewController` post a task to the raster thread to set the swap interval. This would ensure that the platform thread never makes the EGL context current during a rendering operation. I'll take a look at this.
@loic-sharma Could you please confirm?
### Flutter Doctor output
<details open><summary>Doctor output</summary>
```console
[√] Flutter (Channel stable, 3.24.3, on Microsoft Windows [Version 10.0.20348.2655], locale en-US)
• Flutter version 3.24.3 on channel stable at C:\workspace\flutter\flutter
• Upstream repository https://github.com/flutter/flutter.git
• Framework revision 2663184aa7 (2 weeks ago), 2024-09-11 16:27:48 -0500
• Engine revision 36335019a8
• Dart version 3.5.3
• DevTools version 2.37.3
[√] Windows Version (Installed version of Windows is version 10 or higher)
[X] Android toolchain - develop for Android devices
X Unable to locate Android SDK.
Install Android Studio from: https://developer.android.com/studio/index.html
On first launch it will assist you in installing the Android SDK components.
(or visit https://flutter.dev/to/windows-android-setup for detailed instructions).
If the Android SDK has been installed to a custom location, please use
`flutter config --android-sdk` to update to that location.
[√] Chrome - develop for the web
• Chrome at C:\Program Files\Google\Chrome\Application\chrome.exe
[√] Visual Studio - develop Windows apps (Visual Studio Community 2022 17.11.4)
• Visual Studio at C:\Program Files\Microsoft Visual Studio\2022\Community
• Visual Studio Community 2022 version 17.11.35312.102
• Windows 10 SDK version 10.0.22621.0
[!] Android Studio (not installed)
• Android Studio not found; download from https://developer.android.com/studio/index.html
(or visit https://flutter.dev/to/windows-android-setup for detailed instructions).
[√] VS Code (version 1.93.1)
• VS Code at C:\Users\Administrator\AppData\Local\Programs\Microsoft VS Code
• Flutter extension version 3.96.0
[√] Connected device (3 available)
• Windows (desktop) • windows • windows-x64 • Microsoft Windows [Version 10.0.20348.2655]
• Chrome (web) • chrome • web-javascript • Google Chrome 129.0.6668.71
• Edge (web) • edge • web-javascript • Microsoft Edge 129.0.2792.52
[√] Network resources
• All expected network resources are available.
! Doctor found issues in 2 categories.
```
</details>
| engine,platform-windows,P2,c: fatal crash,a: multi window,team-windows,triaged-windows | low | Critical |
2,547,840,776 | electron | [Bug]: GPU and Network processes crash on startup on some specific devices | ### Preflight Checklist
- [X] I have read the [Contributing Guidelines](https://github.com/electron/electron/blob/main/CONTRIBUTING.md) for this project.
- [X] I agree to follow the [Code of Conduct](https://github.com/electron/electron/blob/main/CODE_OF_CONDUCT.md) that this project adheres to.
- [X] I have searched the [issue tracker](https://www.github.com/electron/electron/issues) for a bug report that matches the one I want to file, without success.
### Electron Version
31.3.0
### What operating system(s) are you using?
Windows
### Operating System Version
Windows 10.0.22631
### What arch are you using?
x64
### Last Known Working Electron version
_No response_
### Expected Behavior
No crash.
### Actual Behavior
We have a customer which has some 10s of machines where our electron app starts with a blank screen immediately. So our app starts, the BrowserWindow starts and just stays there with a blank screen.
According to the initial logs 'render-process-gone' event was triggered with `crashed` as the `reason` parameter.
Running the application on the command line prints out these in random amounts:
```
[12756:0821/113045.055:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113046.385:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113047.020:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113051.545:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113053.492:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113055.517:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113056.031:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113100.118:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113101.441:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113107.320:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113110.198:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113110.518:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113116.750:ERROR:gpu_process_host.cc(989)] GPU process exited unexpectedly: exit_code=-1073741819
[12756:0821/113119.317:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113124.213:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113129.684:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113134.334:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113139.599:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
[12756:0821/113144.428:ERROR:network_service_instance_impl.cc(599)] Network service crashed, restarting service.
```
We have collected the following dumps via Windows:
[dumps.zip](https://github.com/user-attachments/files/17130738/dumps.zip)
And collected these dumps via Electron crashReporter:
[reports.zip](https://github.com/user-attachments/files/17130744/reports.zip)
Note that these are from different times and different attempts.
The customer wants an explanation and we don't have anything specific to point to.
### Testcase Gist URL
_No response_
### Additional Information
We have tried various electron versions, the latest was 31.3.0.
We have had a troubleshooting session with the customer and one of the devices. I installed Electron Fiddle but it had the same issue, except the window never appeared as opposed to blank window we had in our app. Unfortunately we have not collected dumps from Fiddle. So I can't really provide a Fiddle example.
We've also tried random combinations of these parameters with no success:
```
--disable-gpu --disable-software-rasterizer --disable-gpu-compositing --disable-gpu-rasterization --disable-gpu-sandbox --no-sandbox
```
The regular Chrome works on the machine, not sure if that says something.
The only common thing with the devices with this problem is the company. Otherwise it's different type of devices from different vendors.
We have asked them to try again after disabling various endpoint protection software which they reported that they did but that did not help. | platform/windows,crash :boom:,bug :beetle:,31-x-y | low | Critical |
2,547,854,777 | pytorch | [torch.export.load] failed while executing `pow_by_natural` | ### 🐛 Describe the bug
After I fixed the serialization error on export save with https://github.com/pytorch/pytorch/pull/136364 I have then another, I think not related, issue loading the serialized exported program. See the errors at https://github.com/pytorch/pytorch/pull/136364#issuecomment-2364179682
### Versions
nightly
cc @ezyang @chauhang @penguinwu @avikchaudhuri @gmagogsfm @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4 | triaged,oncall: pt2,export-triaged,oncall: export | low | Critical |
2,547,857,244 | yt-dlp | [ARTE] Add additional metadata | ### DO NOT REMOVE OR SKIP THE ISSUE TEMPLATE
- [X] I understand that I will be **blocked** if I *intentionally* remove or skip any mandatory\* field
### Checklist
- [X] I'm requesting a site-specific feature
- [X] I've verified that I have **updated yt-dlp to nightly or master** ([update instructions](https://github.com/yt-dlp/yt-dlp#update-channels))
- [X] I've checked that all provided URLs are playable in a browser with the same IP and same login details
- [X] I've searched [known issues](https://github.com/yt-dlp/yt-dlp/issues/3766) and the [bugtracker](https://github.com/yt-dlp/yt-dlp/issues?q=) for similar issues **including closed ones**. DO NOT post duplicates
- [X] I've read the [guidelines for opening an issue](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#opening-an-issue)
- [ ] I've read about [sharing account credentials](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#are-you-willing-to-share-account-details-if-needed) and I'm willing to share it if required
### Region
Germany
### Example URLs
https://www.arte.tv/de/videos/116705-090-A/mit-offenen-karten-im-fokus
https://api.arte.tv/api/player/v2/config/de/116705-090-A
### Provide a description that is worded well enough to be understood
Please add the following metadata fields to videos downloaded from ARTE using the existing API V2:
`https://api.arte.tv/api/player/v2/config/de/`
From the attribute "push":
**"category"**: like "ACT_aktuelles-und-gesellschaft", "CIN_kino", DEC_entdeckung-der-welt Et cetera
**"subcategory"**: more precise one like "DCY_hintergrund", "FLM_filme", "NEA_natur-und-tiere" Et cetera
**"genre"**: general one like "2_filme", "1_dokus-und-reportagen" Et cetera
With the additional metadata it would be possible to create the filenames like:
ARTE_**Hintergrund**--Mit offenen Karten - Im Fokus - Iran： Reformer Peseschkian？--116705-090-A_2024-09-18_Deutsch_de_1920x1080_2485
or ARTE_**Aktuelles und Gesellschaft**--Mit offenen Karten - Im Fokus - Iran： Reformer Peseschkian？--116705-090-A_2024-09-18_Deutsch_de_1920x1080_2485
or ARTE_**Dokus und Reportagen**--Mit offenen Karten - Im Fokus - Iran： Reformer Peseschkian？--116705-090-A_2024-09-18_Deutsch_de_1920x1080_2485
instead of ARTE--Mit offenen Karten - Im Fokus - Iran： Reformer Peseschkian？--116705-090-A_2024-09-18_Deutsch_de_1920x1080_2485
### Provide verbose output that clearly demonstrates the problem
- [X] Run **your** yt-dlp command with **-vU** flag added (`yt-dlp -vU <your command line>`)
- [ ] If using API, add `'verbose': True` to `YoutubeDL` params instead
- [X] Copy the WHOLE output (starting with `[debug] Command-line config`) and insert it below
### Complete Verbose Output
```shell
>yt-dlp -vU https://www.arte.tv/de/videos/116705-090-A/mit-offenen-karten-im-fokus
[debug] Command-line config: ['-vU', 'https://www.arte.tv/de/videos/116705-090-A/mit-offenen-karten-im-fokus']
[debug] Encodings: locale cp1252, fs utf-8, pref cp1252, out utf-8, error utf-8, screen utf-8
[debug] yt-dlp version nightly@2024.09.24.232842 from yt-dlp/yt-dlp-nightly-builds [fa2be9a7c] (win_exe)
[debug] Python 3.8.10 (CPython AMD64 64bit) - Windows-10-10.0.22631-SP0 (OpenSSL 1.1.1k 25 Mar 2021)
[debug] exe versions: ffmpeg N-112148-g035d187c4d-20230922 (setts), ffprobe N-112148-g035d187c4d-20230922
[debug] Optional libraries: Cryptodome-3.20.0, brotli-1.1.0, certifi-2024.08.30, curl_cffi-0.5.10, mutagen-1.47.0, requests-2.32.3, sqlite3-3.35.5, urllib3-2.2.3, websockets-13.1
[debug] Proxy map: {}
[debug] Request Handlers: urllib, requests, websockets, curl_cffi
[debug] Loaded 1835 extractors
[debug] Fetching release info: https://api.github.com/repos/yt-dlp/yt-dlp-nightly-builds/releases/latest
Latest version: nightly@2024.09.24.232842 from yt-dlp/yt-dlp-nightly-builds
yt-dlp is up to date (nightly@2024.09.24.232842 from yt-dlp/yt-dlp-nightly-builds)
[ArteTV] Extracting URL: https://www.arte.tv/de/videos/116705-090-A/mit-offenen-karten-im-fokus
[ArteTV] 116705-090-A: Downloading JSON metadata
[ArteTV] 116705-090-A: Downloading m3u8 information
[debug] Formats sorted by: hasvid, ie_pref, lang, quality, res, fps, hdr:12(7), vcodec:vp9.2(10), channels, acodec, size, br, asr, proto, vext, aext, hasaud, source, id
[debug] Default format spec: bestvideo*+bestaudio/best
[info] 116705-090-A: Downloading 1 format(s): VA-2485+VA-audio_0-Deutsch__Klare_Sprache_
[debug] Invoking hlsnative downloader on "https://arte-cmafhls.akamaized.net/am/cmaf/116000/116700/116705-090-B/2024091718F8BCA45C94569FF6335CA8B642A73FA2/medias/116705-090-B_v1080.m3u8"
[hlsnative] Downloading m3u8 manifest
[hlsnative] Total fragments: 35
[download] Destination: Iran： Reformer Peseschkian？ [116705-090-A].fVA-2485.mp4
[debug] File locking is not supported. Proceeding without locking
[download] 100% of 59.08MiB in 00:00:21 at 2.69MiB/s
[debug] Invoking hlsnative downloader on "https://arte-cmafhls.akamaized.net/am/cmaf/116000/116700/116705-090-B/2024091718F8BCA45C94569FF6335CA8B642A73FA2/medias/116705-090-B_aud_VA-ALL_1_CA.m3u8"
[hlsnative] Downloading m3u8 manifest
[hlsnative] Total fragments: 36
[download] Destination: Iran： Reformer Peseschkian？ [116705-090-A].fVA-audio_0-Deutsch__Klare_Sprache_.mp4
[download] 100% of 3.23MiB in 00:00:10 at 309.83KiB/s
[debug] ffmpeg command line: ffprobe -show_streams "file:Iran： Reformer Peseschkian？ [116705-090-A].fVA-audio_0-Deutsch__Klare_Sprache_.mp4"
[Merger] Merging formats into "Iran： Reformer Peseschkian？ [116705-090-A].mp4"
[debug] ffmpeg command line: ffmpeg -y -loglevel repeat+info -i "file:Iran： Reformer Peseschkian？ [116705-090-A].fVA-2485.mp4" -i "file:Iran： Reformer Peseschkian？ [116705-090-A].fVA-audio_0-Deutsch__Klare_Sprache_.mp4" -c copy -map 0:v:0 -map 1:a:0 -bsf:a:0 aac_adtstoasc -movflags +faststart "file:Iran： Reformer Peseschkian？ [116705-090-A].temp.mp4"
Deleting original file Iran： Reformer Peseschkian？ [116705-090-A].fVA-audio_0-Deutsch__Klare_Sprache_.mp4 (pass -k to keep)
Deleting original file Iran： Reformer Peseschkian？ [116705-090-A].fVA-2485.mp4 (pass -k to keep)
```
| site-enhancement,triage | low | Critical |
2,547,927,669 | storybook | [Bug]: Action in object disappears in Controls panel | ### Describe the bug
After upgrading from Storybook 6 to Storybook 8, we are experiencing an issue when trying to show an object with an Action (`import { action } from '@storybook/addon-actions';`) in our Controls.
This is our `link` arg:
<img width="281" alt="image" src="https://github.com/user-attachments/assets/5a60c8c8-5e65-4504-ab8e-29b083ce1a8c">
This is what we expect, and is shown on the Docs page:
This is what actually happens:
The Action does work as expected and is shown in the Actions tab when clicking the `link`, but it isn't shown in the `link` object on the Controls.
### Reproduction link
https://stackblitz.com/edit/github-39beua?file=src%2Fstories%2FButton.stories.ts
### Reproduction steps
1. Set up a story with controls.
2. Add an argument with type `object` to your args, one of the properties should contain an `action`. (`import { action } from '@storybook/addon-actions;`)
Expected result: Object is fully shown in controls.
Actual result: The property containing an action is missing from the Object in the controls.
### System
```bash
Storybook Environment Info:
System:
OS: macOS 14.6.1
CPU: (12) arm64 Apple M2 Pro
Shell: 5.9 - /bin/zsh
Binaries:
Node: 18.18.2 - ~/.nvm/versions/node/v18.18.2/bin/node
npm: 9.8.1 - ~/.nvm/versions/node/v18.18.2/bin/npm <----- active
pnpm: 9.5.0 - ~/.nvm/versions/node/v18.18.2/bin/pnpm
Browsers:
Chrome: 129.0.6668.59
Edge: 129.0.2792.52
Safari: 17.6
npmPackages:
@storybook/addon-actions: ^8.3.0 => 8.3.0
@storybook/addon-essentials: ^8.3.0 => 8.3.0
@storybook/addon-links: ^8.3.0 => 8.3.0
@storybook/addon-storysource: ^8.3.0 => 8.3.0
@storybook/addon-styling-webpack: ^1.0.0 => 1.0.0
@storybook/ember: ^8.3.0 => 8.3.0
@storybook/ember-cli-storybook: ^0.6.1 => 0.6.1
storybook: ^8.3.0 => 8.3.0
```
### Additional context
_No response_ | bug,help wanted,sev:S3 | low | Critical |
2,547,981,653 | PowerToys | Please add a per-application startup-folder option for workspaces | ### Description of the new feature / enhancement
Workspaces is great for launching multiple apps simultaneously. It provides long overdue functionality for Windows. The one thing I haven't reliably been able to do so far is customize the settings for all applications in such a way as to specify their startup-folder location. With some applications (e.g., Windows Terminal), I can add another command-line parameter (`-d <path>`) that seems to work. But many applications often lack this ability. I know that the Windows API methods to launch processes all take startup paths, so it would be a trivial addition to the existing data set but pay a _lot_ of dividends in time saved for opening/saving files from within those applications and other startup-folder sensitive operations.
### Scenario when this would be used?
For applications that don't offer a command-line option to specify a startup folder, this would be helpful in many scenarios:
1. Standard open/save dialogs starting in the folder I want them to by default, rather than having to change them every single time.
2. Applications being able to find their proper set of configuration files based on startup path.
3. Applications that generate files in the same folder as their executable dumping them where I actually want them.
And many more.
### Supporting information
I think the ask is pretty clear, but as a Windows developer I'll put it this way:
1. Add UI to capture startup paths.
2. Add UI to edit application startup paths--please allow environment variables to be referenced by said UI!
3. Add code to resolve those startup paths when launching to hand them off to the Windows process-related APIs. | Idea-Enhancement,Help Wanted,Needs-Triage,Product-Workspaces | low | Minor |
2,547,995,795 | yt-dlp | [Weverse] can't download a membership only video | ### DO NOT REMOVE OR SKIP THE ISSUE TEMPLATE
- [X] I understand that I will be **blocked** if I *intentionally* remove or skip any mandatory\* field
### Checklist
- [X] I'm reporting that yt-dlp is broken on a **supported** site
- [X] I've verified that I have **updated yt-dlp to nightly or master** ([update instructions](https://github.com/yt-dlp/yt-dlp#update-channels))
- [X] I've checked that all provided URLs are playable in a browser with the same IP and same login details
- [X] I've checked that all URLs and arguments with special characters are [properly quoted or escaped](https://github.com/yt-dlp/yt-dlp/wiki/FAQ#video-url-contains-an-ampersand--and-im-getting-some-strange-output-1-2839-or-v-is-not-recognized-as-an-internal-or-external-command)
- [X] I've searched [known issues](https://github.com/yt-dlp/yt-dlp/issues/3766) and the [bugtracker](https://github.com/yt-dlp/yt-dlp/issues?q=) for similar issues **including closed ones**. DO NOT post duplicates
- [X] I've read the [guidelines for opening an issue](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#opening-an-issue)
- [X] I've read about [sharing account credentials](https://github.com/yt-dlp/yt-dlp/blob/master/CONTRIBUTING.md#are-you-willing-to-share-account-details-if-needed) and I'm willing to share it if required
### Region
Philippines
### Provide a description that is worded well enough to be understood
i hope someone can help. i can't download this membership-locked video. i have the membership and i can watch it. but i can't download it using yt-dlp. it's fine with other videos that is not membership-locked.
### Provide verbose output that clearly demonstrates the problem
- [X] Run **your** yt-dlp command with **-vU** flag added (`yt-dlp -vU <your command line>`)
- [X] If using API, add `'verbose': True` to `YoutubeDL` params instead
- [X] Copy the WHOLE output (starting with `[debug] Command-line config`) and insert it below
### Complete Verbose Output
```shell
[debug] Command-line config: ['-vU', '--username', 'PRIVATE', '--password', 'PRIVATE', 'https://weverse.io/redvelvet/live/0-149700869']
[debug] Encodings: locale cp1252, fs utf-8, pref cp1252, out utf-8, error utf-8, screen utf-8
[debug] yt-dlp version stable@2024.08.06 from yt-dlp/yt-dlp [4d9231208] (win_exe)
[debug] Python 3.8.10 (CPython AMD64 64bit) - Windows-10-10.0.22631-SP0 (OpenSSL 1.1.1k 25 Mar 2021)
[debug] exe versions: ffmpeg N-116785-ge758b24396-20240828 (setts), ffprobe N-116785-ge758b24396-20240828
[debug] Optional libraries: Cryptodome-3.20.0, brotli-1.1.0, certifi-2024.07.04, curl_cffi-0.5.10, mutagen-1.47.0, requests-2.32.3, sqlite3-3.35.5, urllib3-2.2.2, websockets-12.0
[debug] Proxy map: {}
[debug] Request Handlers: urllib, requests, websockets, curl_cffi
[debug] Loaded 1830 extractors
[debug] Fetching release info: https://api.github.com/repos/yt-dlp/yt-dlp/releases/latest
Latest version: stable@2024.08.06 from yt-dlp/yt-dlp
yt-dlp is up to date (stable@2024.08.06 from yt-dlp/yt-dlp)
[Weverse] Checking username
[Weverse] Logging in
[Weverse] Extracting URL: https://weverse.io/redvelvet/live/0-149700869
[Weverse] 0-149700869: Downloading API JSON
[Weverse] 0-149700869: Downloading VOD API key
[Weverse] 0-149700869: Downloading VOD JSON
ERROR: [Weverse] 0-149700869: No video formats found!; please report this issue on https://github.com/yt-dlp/yt-dlp/issues?q= , filling out the appropriate issue template. Confirm you are on the latest version using yt-dlp -U
Traceback (most recent call last):
File "yt_dlp\YoutubeDL.py", line 1626, in wrapper
File "yt_dlp\YoutubeDL.py", line 1782, in __extract_info
File "yt_dlp\YoutubeDL.py", line 1841, in process_ie_result
File "yt_dlp\YoutubeDL.py", line 2847, in process_video_result
File "yt_dlp\YoutubeDL.py", line 1123, in raise_no_formats
yt_dlp.utils.ExtractorError: [Weverse] 0-149700869: No video formats found!; please report this issue on https://github.com/yt-dlp/yt-dlp/issues?q= , filling out the appropriate issue template. Confirm you are on the latest version using yt-dlp -U
```
| DRM,account-needed,site-bug,can-share-account | low | Critical |
2,548,029,723 | PowerToys | Key of "/" can't be remapped | ### Microsoft PowerToys version
0.84.1
### Installation method
GitHub
### Running as admin
None
### Area(s) with issue?
Keyboard Manager
### Steps to reproduce
1. We remap button of "/" to send text "? " (with extra space)
2. We then remap a shortcut of "Ctrl + /" to send text "/"
### ✔️ Expected Behavior
1. When we press button of "/", we should get "? " (with extra space)
2. When we press "Ctrl + /", we should get "/"
### ❌ Actual Behavior
1. When we press button of "/", we get "? " (with extra space) ✅
2. When we press "Ctrl + /", we get "? " (with extra space) instead of "/" ❌
### Other Software
_No response_ | Issue-Bug,Needs-Triage | low | Minor |
2,548,029,936 | vscode | Problems with `ChatVariablesService#attachContext` | There is couple of issues and code smell with `attachContext`
https://github.com/microsoft/vscode/blob/f70bf1770392659e863f682cd23a31c2161bee37/src/vs/workbench/contrib/chat/browser/chatVariables.ts#L165-L189
* it checks for the `ChatLocation` - something that we have gotten past since a while
* it uses the last focused widget which can very well be of another `ChatLocation`
* it opens the chat panel (`showChatView`) if it finds no other widget - this is really awkward and bad
IMO instead the method should just be called with a target widget
| important,debt,chat | low | Minor |
2,548,041,588 | rust | Invalid metadata for arm64e due to Xcode 15+ on ARM64e macOS | I tried to compile `arm64e-apple-darwin` on `aarch64` (ARM-based CPU) `macOS`. So, I got the following error
<details><summary>error[E0786]: found invalid metadata files for crate `zerocopy_derive`</summary>
<p>
```sh
error[E0786]: found invalid metadata files for crate `zerocopy_derive`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/lib.rs:285:9
|
285 | pub use zerocopy_derive::Unaligned;
| ^^^^^^^^^^^^^^^
|
= note: no `.rustc` section in '/Users/runner/work/rust-compiler-builder/rust-compiler-builder/rust/build/aarch64-apple-darwin/stage1-rustc/arm64e-apple-darwin/release/deps/libzerocopy_derive-85cad85f9873b5cd.dylib'
error[E0786]: found invalid metadata files for crate `zerocopy_derive`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/lib.rs:293:9
|
293 | pub use zerocopy_derive::KnownLayout;
| ^^^^^^^^^^^^^^^
|
= note: no `.rustc` section in '/Users/runner/work/rust-compiler-builder/rust-compiler-builder/rust/build/aarch64-apple-darwin/stage1-rustc/arm64e-apple-darwin/release/deps/libzerocopy_derive-85cad85f9873b5cd.dylib'
error[E0786]: found invalid metadata files for crate `zerocopy_derive`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/lib.rs:1118:9
|
1118 | pub use zerocopy_derive::FromZeroes;
| ^^^^^^^^^^^^^^^
|
= note: no `.rustc` section in '/Users/runner/work/rust-compiler-builder/rust-compiler-builder/rust/build/aarch64-apple-darwin/stage1-rustc/arm64e-apple-darwin/release/deps/libzerocopy_derive-85cad85f9873b5cd.dylib'
error[E0786]: found invalid metadata files for crate `zerocopy_derive`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/lib.rs:1733:9
|
1733 | pub use zerocopy_derive::FromBytes;
| ^^^^^^^^^^^^^^^
|
= note: no `.rustc` section in '/Users/runner/work/rust-compiler-builder/rust-compiler-builder/rust/build/aarch64-apple-darwin/stage1-rustc/arm64e-apple-darwin/release/deps/libzerocopy_derive-85cad85f9873b5cd.dylib'
error[E0786]: found invalid metadata files for crate `zerocopy_derive`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/lib.rs:2599:9
|
2599 | pub use zerocopy_derive::AsBytes;
| ^^^^^^^^^^^^^^^
|
= note: no `.rustc` section in '/Users/runner/work/rust-compiler-builder/rust-compiler-builder/rust/build/aarch64-apple-darwin/stage1-rustc/arm64e-apple-darwin/release/deps/libzerocopy_derive-85cad85f9873b5cd.dylib'
error[E0432]: unresolved import `crate::KnownLayout`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/util.rs:21:34
|
21 | use crate::{util::AsAddress, KnownLayout, _CastType};
| ^^^^^^^^^^^
[RUSTC-TIMING] displaydoc test:false 7.021
Compiling tracing-attributes v0.1.27
error[E0277]: the trait bound `byteorder::U16<O>: FromZeroes` is not satisfied
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/byteorder.rs:292:49
|
236 | / macro_rules! define_type {
237 | | ($article:ident,
238 | | $name:ident,
239 | | $native:ident,
... |
292 | | impl_or_verify!(O => FromZeroes for $name<O>);
| | ^^^^^^^^ the trait `FromZeroes` is not implemented for `byteorder::U16<O>`
... |
462 | | };
463 | | }
| |_- in this expansion of `define_type!`
464 |
465 | / define_type!(
466 | | A,
467 | | U16,
468 | | u16,
... |
477 | | [U32, U64, U128]
478 | | );
| |_- in this macro invocation
|
= help: the following other types implement trait `FromZeroes`:
()
*const T
*mut T
ManuallyDrop<T>
MaybeUninit<T>
Option<&T>
Option<&mut T>
Option<NonNull<T>>
and 103 others
note: required by a bound in `byteorder::_::_::Subtrait`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/macros.rs:323:29
|
28 | / macro_rules! safety_comment {
29 | | (#[doc = r" SAFETY:"] $($(#[$attr:meta])* $macro:ident!$args:tt;)*) => {
30 | | #[allow(clippy::undocumented_unsafe_blocks, unused_attributes)]
31 | | const _: () = { $($(#[$attr])* $macro!$args;)* };
| | ------------ in this macro invocation (#3)
32 | | }
33 | | }
| |_- in this expansion of `safety_comment!` (#2)
...
279 | / macro_rules! impl_or_verify {
280 | | // The following two match arms follow the same pattern as their
281 | | // counterparts in `unsafe_impl!`; see the documentation on those arms for
282 | | // more details.
... |
302 | / impl_or_verify!(@verify $trait, {
303 | impl<$($tyvar $(: $(? $optbound +)* $($bound +)*)?),*> Subtrait for $ty {}
304 | | });
| |__________- in this macro invocation (#4)
...
323 | | trait Subtrait: $trait {}
| | ^^^^^^ required by this bound in `Subtrait`
... |
326 | | };
327 | | }
| | -
| |_|
| |_in this expansion of `impl_or_verify!` (#3)
| in this expansion of `impl_or_verify!` (#4)
|
::: /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/byteorder.rs:236:1
|
236 | / macro_rules! define_type {
237 | | ($article:ident,
238 | | $name:ident,
239 | | $native:ident,
... |
287 | / safety_comment! {
288 | /// SAFETY:
289 | /// `$name<O>` is `repr(transparent)`, and so it has the same layout
290 | /// as its only non-zero field, which is a `u8` array. `u8` arrays
...
295 | impl_or_verify!(O => Unaligned for $name<O>);
296 | | }
| |_________- in this macro invocation (#2)
...
462 | | };
463 | | }
| |_- in this expansion of `define_type!` (#1)
464 |
465 | / define_type!(
466 | | A,
467 | | U16,
468 | | u16,
... |
477 | | [U32, U64, U128]
478 | | );
| |_- in this macro invocation (#1)
error[E0277]: the trait bound `byteorder::U16<O>: FromBytes` is not satisfied
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/byteorder.rs:293:48
|
236 | / macro_rules! define_type {
237 | | ($article:ident,
238 | | $name:ident,
239 | | $native:ident,
... |
293 | | impl_or_verify!(O => FromBytes for $name<O>);
| | ^^^^^^^^ the trait `FromBytes` is not implemented for `byteorder::U16<O>`
... |
462 | | };
463 | | }
| |_- in this expansion of `define_type!`
464 |
465 | / define_type!(
466 | | A,
467 | | U16,
468 | | u16,
... |
477 | | [U32, U64, U128]
478 | | );
| |_- in this macro invocation
|
= help: the following other types implement trait `FromBytes`:
()
ManuallyDrop<T>
MaybeUninit<T>
Option<NonZero<i128>>
Option<NonZero<i16>>
Option<NonZero<i32>>
Option<NonZero<i64>>
Option<NonZero<i8>>
and 69 others
note: required by a bound in `byteorder::_::_::Subtrait`
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/macros.rs:323:29
|
28 | / macro_rules! safety_comment {
29 | | (#[doc = r" SAFETY:"] $($(#[$attr:meta])* $macro:ident!$args:tt;)*) => {
30 | | #[allow(clippy::undocumented_unsafe_blocks, unused_attributes)]
31 | | const _: () = { $($(#[$attr])* $macro!$args;)* };
| | ------------ in this macro invocation (#3)
32 | | }
33 | | }
| |_- in this expansion of `safety_comment!` (#2)
...
279 | / macro_rules! impl_or_verify {
280 | | // The following two match arms follow the same pattern as their
281 | | // counterparts in `unsafe_impl!`; see the documentation on those arms for
282 | | // more details.
... |
302 | / impl_or_verify!(@verify $trait, {
303 | impl<$($tyvar $(: $(? $optbound +)* $($bound +)*)?),*> Subtrait for $ty {}
304 | | });
| |__________- in this macro invocation (#4)
...
323 | | trait Subtrait: $trait {}
| | ^^^^^^ required by this bound in `Subtrait`
... |
326 | | };
327 | | }
| | -
| |_|
| |_in this expansion of `impl_or_verify!` (#3)
| in this expansion of `impl_or_verify!` (#4)
|
::: /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/byteorder.rs:236:1
|
236 | / macro_rules! define_type {
237 | | ($article:ident,
238 | | $name:ident,
239 | | $native:ident,
... |
287 | / safety_comment! {
288 | /// SAFETY:
289 | /// `$name<O>` is `repr(transparent)`, and so it has the same layout
290 | /// as its only non-zero field, which is a `u8` array. `u8` arrays
...
295 | impl_or_verify!(O => Unaligned for $name<O>);
296 | | }
| |_________- in this macro invocation (#2)
...
462 | | };
463 | | }
| |_- in this expansion of `define_type!` (#1)
464 |
465 | / define_type!(
466 | | A,
467 | | U16,
468 | | u16,
... |
477 | | [U32, U64, U128]
478 | | );
| |_- in this macro invocation (#1)
error[E0277]: the trait bound `byteorder::U16<O>: AsBytes` is not satisfied
--> /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/zerocopy-0.7.35/src/byteorder.rs:294:46
|
236 | / macro_rules! define_type {
237 | | ($article:ident,
238 | | $name:ident,
239 | | $native:ident,
... |
294 | | impl_or_verify!(O => AsBytes for $name<O>);
| | ^^^^^^^^ the trait `AsBytes` is not implemented for `byteorder::U16<O>`
... |
462 | | };
463 | | }
| |_- in this expansion of `define_type!`
464 |
465 | / define_type!(
466 | | A,
467 | | U16,
468 | | u16,
... |
477 | | [U32, U64, U128]
478 | | );
| |_- in this macro invocation
|
```
</p>
</details>
This issue can be reproduced only on *aarch64* (ARM-based CPU) `macOS`.
See https://github.com/google/zerocopy/issues/1739
See https://github.com/llvm/llvm-project/issues/79543
Blocked by https://github.com/llvm/llvm-project/issues/80200
Relates to https://github.com/rust-lang/rust/issues/130085
<!--
If you know when this regression occurred, please add a line like below, replacing `{channel}` with one of stable, beta, or nightly.
@rustbot modify labels: +regression-from-stable-to-{channel} -regression-untriaged
-->
| O-macos,O-Arm,P-high,T-compiler,T-bootstrap,C-bug,regression-untriaged | low | Critical |
2,548,054,488 | go | net/http: ServeMux.Handler does not populate named path wildcards | ### Go version
go version devel go1.24-b17a55d095 Tue Sep 24 23:20:50 2024 +0000 linux/amd64
### Output of `go env` in your module/workspace:
```shell
GO111MODULE=''
GOARCH='amd64'
GOBIN=''
GOCACHE='/home/chressie/.cache/go-build'
GOENV='/home/chressie/.config/go/env'
GOEXE=''
GOEXPERIMENT=''
GOFLAGS=''
GOHOSTARCH='amd64'
GOHOSTOS='linux'
GOINSECURE=''
GOMODCACHE='/home/chressie/go/pkg/mod'
GONOPROXY=''
GONOSUMDB=''
GOOS='linux'
GOPATH='/home/chressie/go'
GOPRIVATE=''
GOPROXY='https://proxy.golang.org,direct'
GOROOT='/home/chressie/src/go'
GOSUMDB='sum.golang.org'
GOTMPDIR=''
GOTOOLCHAIN='auto'
GOTOOLDIR='/home/chressie/src/go/pkg/tool/linux_amd64'
GOVCS=''
GOVERSION='devel go1.24-b17a55d095 Tue Sep 24 23:20:50 2024 +0000'
GODEBUG=''
GOTELEMETRY='on'
GOTELEMETRYDIR='/home/chressie/.config/go/telemetry'
GCCGO='/usr/bin/gccgo'
GOAMD64='v1'
AR='ar'
CC='gcc'
CXX='g++'
CGO_ENABLED='1'
GOMOD='/home/chressie/src/go/src/go.mod'
GOWORK=''
CGO_CFLAGS='-O2 -g'
CGO_CPPFLAGS=''
CGO_CXXFLAGS='-O2 -g'
CGO_FFLAGS='-O2 -g'
CGO_LDFLAGS='-O2 -g'
PKG_CONFIG='pkg-config'
GOGCCFLAGS='-fPIC -m64 -pthread -Wl,--no-gc-sections -fmessage-length=0 -ffile-prefix-map=/tmp/go-build549655017=/tmp/go-build -gno-record-gcc-switches'
```
### What did you do?
The [http.ServeMux.Handler](https://pkg.go.dev/net/http#ServeMux.Handler) method currently [discards patterns and matches](https://cs.opensource.google/go/go/+/refs/tags/go1.23.1:src/net/http/server.go;l=2577;drc=773767def0e0f29584a69bd760430167b7479d7d) that findHandler returns.
This behavior makes it impossible to use named path wildcards in http.Handler implementations that want to use an http.ServeMux as the underlying request multiplexer.
The following program shows a common pattern that demonstrates this:
```
package main
import (
"fmt"
"net"
"net/http"
"time"
)
func main() {
mux := http.NewServeMux()
mux.HandleFunc("/{foo}", func(w http.ResponseWriter, r *http.Request) {
fmt.Printf("handler1: {foo}==%q\n", r.PathValue("foo"))
})
mux.HandleFunc("/x/{bar}", func(w http.ResponseWriter, r *http.Request) {
fmt.Printf("handler2: {bar}==%q\n", r.PathValue("bar"))
})
// Typical middleware that routes all requests to mux.
http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
h, _ := mux.Handler(r)
h.ServeHTTP(w, r)
})
ln, _ := net.Listen("tcp", ":0")
go (&http.Server{Handler: http.DefaultServeMux, Addr: ln.Addr().String()}).Serve(ln)
http.Get("http://" + ln.Addr().String() + "/wildcard-foo")
http.Get("http://" + ln.Addr().String() + "/x/wildcard-bar")
}
```
### What did you see happen?
Executing above program yields
```
% go run t.go
handler1: {foo}==""
handler2: {bar}==""
```
The wildcards were not populated.
### What did you expect to see?
I'd expect to see the wildcards populated.
```
% go run t.go
handler1: {foo}=="wildcard-foo"
handler2: {bar}=="wildcard-bar"
``` | NeedsInvestigation | low | Critical |
2,548,070,334 | rust | The `tail_expr_drop_order` lint today gives a lot of false positives | cc @traviscross
# TL;DR
We have implemented a HIR-based lint against changes in drop order due to `#![feature(shorter_tail_lifetimes)]`.
Through a crater run we learnt that this approach produces a lot of false positives. We need to account for control flow and track the use of places and partial moves. How can we achieve this?
# Current status
The current approach to identify temporaries in tail expression whose drop order may change is to identify local variable declarations as well as (sub)expressions of the tail expression that are of types with significant drop implementation. The lint will then simply assume that all of them will observe a change in drop order and report as such.
For example, the following code is linted against.
```rust
#![deny(tail_expr_drop_order)]
#![feature(shorter_tail_lifetimes)]
struct LoudDropper;
impl Drop for LoudDropper {
fn drop(&mut self) {
// This destructor should be considered significant because it is a custom destructor
// and we will assume that the destructor can generate side effects arbitrarily so that
// a change in drop order is visible.
println!("loud drop");
}
}
impl LoudDropper {
fn get(&self) -> i32 {
0
}
}
fn should_lint() -> i32 {
let x = LoudDropper;
// ^ this has significant drop
x.get() + LoudDropper.get()
//~^ ERROR: this value of type `LoudDropper` has significant drop implementation that will have a different drop order from that of Edition 2021
//~| WARN: this changes meaning in Rust 2024
}
```
MIR shows that the temporary value `_6` is indeed dropped later that `_1` aka. `x`.
<details>
<summary>MIR</summary>
fn should_lint() -> i32 {
let mut _0: i32;
let _1: LoudDropper;
let mut _2: i32;
let mut _3: &LoudDropper;
let mut _4: i32;
let mut _5: &LoudDropper;
let _6: LoudDropper;
let mut _7: (i32, bool);
scope 1 {
debug x => const LoudDropper;
}
bb0: {
_3 = &_1;
_2 = LoudDropper::get(move _3) -> [return: bb1, unwind: bb8];
}
bb1: {
_5 = &_6;
_4 = LoudDropper::get(move _5) -> [return: bb2, unwind: bb6];
}
bb2: {
_7 = AddWithOverflow(_2, _4);
assert(!move (_7.1: bool), "attempt to compute `{} + {}`, which would overflow", move _2, move _4) -> [success: bb3, unwind: bb6];
}
bb3: {
_0 = move (_7.0: i32);
drop(_1) -> [return: bb4, unwind: bb7];
}
bb4: {
drop(_6) -> [return: bb5, unwind continue];
}
bb5: {
return;
}
bb6 (cleanup): {
drop(_1) -> [return: bb7, unwind terminate(cleanup)];
}
bb7 (cleanup): {
drop(_6) -> [return: bb9, unwind terminate(cleanup)];
}
bb8 (cleanup): {
drop(_1) -> [return: bb9, unwind terminate(cleanup)];
}
bb9 (cleanup): {
resume;
}
}
</details>
# Drawbacks
This lint is now too naive. For instance, the following example clearly will not have the drop order changed. The analysis does not consider the fact that temporary values can be moved and the drop on the locals or places are effectively no-ops.
```rust
fn should_not_lint_when_consumed() -> (LoudDropper, i32) {
let x = LoudDropper;
// Should not lint
(LoudDropper, x.get())
// ^~~~~~~~~~~ this is moved
}
```
This is a fairly common case. From the last crater run we learnt it from the fact that `serde::Deserialize` macro keeps the partially deserialized data as locals and later moves them into the return value. The lint was triggered even though those values are not dropped at the function return point.
# New attempts
Therefore, we need to improve the lint so that the analysis is more precise by factoring in the control flow and the kind of use of various MIR places, especially *partial moves*. Solving this issue perfectly requires one to inspect MIR instead, in conjunction with `MaybeUninitializedPlaces` data flow. Identifying which statements in MIR is today accurate enough, but we can't say the same for `drop` terminators. In the earliest attempts of #129864, span information in the terminators turned out to be pointing outside the tail expression span even though they properly fulfill the drop schedules for the tail expression. This gave us even more false positives and negatives.
As an example, we saw that the drop happened at the last closing bracket of this code from the MIR `source_info` on the drop terminators.
```rust
fn should_lint() -> i32 {
let x = LoudDropper;
// v~~~~~~~~~~~~~~~~~~~~~~~~~~ the tail expression span is this
x.get() + LoudDropper.get()
} // <-- both `x` and `LoudDropper` are dropped here
// ... even though they belong to different scopes
// or they are dropped for different "reasons"
```
One possible way to address this incorrect information is to extend MIR syntax so that `drop` terminators carry information on which exactly the HIR region scope the drops are scheduled for. With it we can precisely differentiate drops for the proper tail expression, the drops for the locals in the body and, in particular, Edition 2021 temporary values that dropped *not as part of* the tail expression drop schedule. Those are the targets this lint is exactly looking for.
## Drawbacks
Due to copying and retention of this scope information in MIRs, there is now [regression](https://github.com/rust-lang/rust/pull/129864#issuecomment-2370862636) on compiler performance.
# Questions
- Are there better ways to track the scope that a drop in a built MIR is scheduled for without so much overhead?
| T-lang,T-compiler,C-discussion | low | Critical |
2,548,099,663 | tauri | [feat] Webview Window Focusable Property | ### Describe the problem
There isn't the ability to create a window that is not focusable, like a onscreen keyboard. Electron has a BaseWindow property that can be set of focusable which then causes the window never to gain focus.
### Describe the solution you'd like
This would be a property that is set on the WebviewWindow which will define if the window can take focus or not. The window should still be interactable with the user.
### Alternatives considered
I have attempted to create the window and change the window style with WinApi but have not been successful in changing the styles. As I don't always know where the focus has come from I cannot always just give it back with a event when the focus is gained in the window.
### Additional context
_No response_ | type: feature request | low | Minor |
2,548,105,109 | transformers | Refactor `output_hidden_states` to allow index selection | ### Feature request
Models such as Llava use CLIPVision with `output_hidden_states=True` then select the index of `hidden_states` that it needs e.g. `image_outputs.hidden_states[vision_feature_layer]`.
`output_hidden_states` could be refactored to `output_hidden_states: Optional[Union[bool, int]] = None` and `hidden_states` output changed to `hidden_states: Optional[Union[torch.FloatTensor, Tuple[torch.FloatTensor, ...]]] = None`.
The layer index would need to be normalized to account for negative index:
```python
if type(output_hidden_states) is int and output_hidden_states < 0:
output_hidden_states = min(len(self.layers), len(self.layers) + output_hidden_states + 1) # or config.num_hidden_layers
```
`CLIPEncoder` could be changed from
```python
for idx, encoder_layer in enumerate(self.layers):
if output_hidden_states:
encoder_states = encoder_states + (hidden_states,)
```
to
```python
for idx, encoder_layer in enumerate(self.layers):
if type(output_hidden_states) is int and output_hidden_states == idx:
encoder_states = hidden_states
elif output_hidden_states:
encoder_states = encoder_states + (hidden_states,)
```
and after the loop changed from
```python
if output_hidden_states:
encoder_states = encoder_states + (hidden_states,)
```
to
```python
if type(output_hidden_states) is int and output_hidden_states == len(self.layers):
encoder_states = hidden_states
elif output_hidden_states:
encoder_states = encoder_states + (hidden_states,)
```
Models such as Llava would then be able to do:
```python
image_outputs = self.vision_tower(pixel_values, output_hidden_states=vision_feature_layer)
selected_image_feature = image_outputs.hidden_states
```
### Motivation
Memory efficiency, as per the [comment](https://github.com/huggingface/transformers/blob/68049b17a6bb4c9b0d499e9e77121effa2f5a6c0/src/transformers/models/llava/modeling_llava.py#L454) in Llava `"this is not memory efficient at all (output_hidden_states=True) will save all the hidden stated."`
This would also improve memory efficiency in CLIP Text, specifically in Diffusers pipelines such as Stable Diffusion XL where the penultimate layer is used or when `clip skip` is used.
### Your contribution
I can submit a PR. | Feature request,Vision | low | Minor |
2,548,105,388 | angular | DeepSignal Inputs and Models | ### Which @angular/* package(s) are relevant/related to the feature request?
core
### Description
Currently, Angular's signal-based inputs and models work well for primitive types, but they become cumbersome when dealing with complex objects. This feature request proposes the implementation of "DeepSignal" inputs and models, which would provide a more convenient way to work with nested properties in objects, especially in scenarios involving two-way binding and forms.
The main benefits of this feature would be:
- Easier listening to specific properties of complex objects without the need for additional computeds or equality checks.
- Simplified template usage for nested properties.
- More convenient handling of forms and filters with multiple fields.
- Improved developer experience when working with complex data structures.
### Proposed solution
Introduce two new functions: deepInput() and deepModel(), which would create DeepSignal instances. These would behave similarly to the existing input() and model() functions but with enhanced capabilities for nested properties.
Example usage:
```
@Component({...})
export class MyComponent {
filterParams = deepInput<{param1: string, param2: string}>();
viewModel = deepModel<{name: string, password: string}>();
}
```
In the template:
```
{{ filterParams.param2() }}
<input type="text" [(ngModel)]="viewModel.name">
```
The DeepSignal type would need to be writable to support two-way binding scenarios.
This solution would be particularly beneficial in views with multiple filters, selections, and inputs, allowing developers to work with a single object rather than individual signals for each property. For example:
```
interface SomeProps {
dateRange: { start: Date, end: Date },
category: string,
searchTerm: string,
isActive: boolean
}
@Component({...})
export class FilterComponent {
filters = deepInput<SomeProps>();
}
```
This approach simplifies handling complex filter objects without creating separate inputs for each property.
### Alternatives considered
1. Using computed signals for each nested property: This approach works but leads to verbose code and doesn't solve the two-way binding issue elegantly.
2. Creating custom operators or utility functions: While this could provide similar functionality, it wouldn't be as seamless as having built-in support in Angular.
By implementing DeepSignal inputs and models, we can significantly improve the developer experience when working with complex objects in Angular applications, especially in scenarios involving forms and filtering. | area: core,core: reactivity,cross-cutting: signals | medium | Major |
2,548,114,467 | go | x/tools/gopls: document Rename package feature | See:
- https://github.com/golang/go/issues/69582 | Documentation,gopls,Tools | low | Minor |
2,548,115,167 | pytorch | torch.unique does not keep order of occurences even with "sorted=False" | ### 🐛 Describe the bug
Hello,
Thank you for the awesome package. I recently noticed that torch.unique does not keep the order of occurences even with sorted argument set to False.
Please is there a temporary work around for this?
Please can this be implemented in future release? it is a very important feature for some applications where order matter.
### Versions
$ python collect_env.py
Collecting environment information...
PyTorch version: 2.4.0+cu118
Is debug build: False
CUDA used to build PyTorch: 11.8
ROCM used to build PyTorch: N/A
OS: Microsoft Windows 11 Pro
GCC version: (x86_64-posix-seh-rev0, Built by MinGW-Builds project) 13.2.0
Clang version: Could not collect
CMake version: version 3.28.3
Libc version: N/A
Python version: 3.9.16 (main, May 17 2023, 17:49:16) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.22631-SP0
Is CUDA available: True
CUDA runtime version: 11.2.67
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2080 Ti
Nvidia driver version: 535.98
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture=9
CurrentClockSpeed=2500
DeviceID=CPU0
Family=205
L2CacheSize=11776
L2CacheSpeed=
Manufacturer=GenuineIntel
MaxClockSpeed=2500
Name=13th Gen Intel(R) Core(TM) i5-13500
ProcessorType=3
Revision=
Versions of relevant libraries:
[pip3] numpy==1.26.3
[pip3] torch==2.4.0+cu118
[pip3] torch_geometric==2.4.0
[pip3] torchaudio==2.4.0+cu118
[pip3] torchvision==0.19.0+cu118
[conda] libblas 3.9.0 8_mkl conda-forge
[conda] libcblas 3.9.0 8_mkl conda-forge
[conda] liblapack 3.9.0 8_mkl conda-forge
[conda] mkl 2020.4 hb70f87d_311 conda-forge
[conda] numpy 1.24.4 pypi_0 pypi
[conda] torch 2.0.1+cu117 pypi_0 pypi
[conda] torch-geometric 2.4.0 pypi_0 pypi
[conda] torchaudio 2.0.2+cu117 pypi_0 pypi
[conda] torchvision 0.15.2+cu117 pypi_0 pypi
cc @albanD | triaged,module: python frontend | low | Critical |
2,548,164,760 | ant-design | Clicking on tooltip changes the visibility of Collapse Item | ### Reproduction link
[](https://stackblitz.com/edit/react-yxbuhh?file=demo.tsx)
### Steps to reproduce
1. Hover on Collapse label
2. Click on tooltip
### What is expected?
The collapse shouldn't change it's state on clicking on tooltip
### What is actually happening?
The collapse is getting closed/ opened.
| Environment | Info |
| --- | --- |
| antd | 5.14.2 |
| React | 18.3.1 |
| System | MacOS |
| Browser | Chrome - 129.0.6668.59 |
---
I tried e.stopPropagation() for onClick of Tooltip, but the onClick is not exposed for Tooltip component. Exposing the same can be a possible fix.
<!-- generated by ant-design-issue-helper. DO NOT REMOVE --> | Inactive,unconfirmed | low | Major |
2,548,174,480 | godot | Second "Files have been modified on disk" dialog not focused | ### Tested versions
4.x
### System information
Godot v4.3.stable - macOS 13.0.1 - Vulkan (Mobile) - integrated Apple M1 - Apple M1 (8 Threads)
### Issue description
When reloading a project that has changed on disk, two "Files have been modified on disk" dialogs are generated rather than one; and the second is not focused, requiring an extra click to clear it.
You can repro this just by `touch`ing files in a terminal, but in practice I run into this every time I change git branches via the terminal.
### Steps to reproduce
1. Open a project in Godot.
2. Open 2 scenes and 2 scripts in the editor.
3. In a terminal, `touch` those .tscn and .gd files.
4. Switch back to Godot.
5. Two "Files have been modified on disk" popups appear on top of each other - one for scripts, and one for scenes and settings files.
6. Mouse-click "Discard" in the topmost popup.
**Expected behavior:**
The second popup is focused, so you can click "Discard" in that as well to get back to work.
**Actual behavior:**
The Godot window is focused, and the second popup (blocking the godot window) is blurred. You must click once to focus it, and then you can click "Discard".
**An even better expected behavior:**
The two dialogs are merged into one containing all changed files, so a single "Discard" click dismisses them all.
### Minimal reproduction project (MRP)
Anything with at least two scenes and two scripts. | bug,topic:editor,needs testing,topic:gui | low | Minor |
2,548,206,591 | electron | [Bug]: Switching between two views back and forth will flicker. | ### Preflight Checklist
- [X] I have read the [Contributing Guidelines](https://github.com/electron/electron/blob/main/CONTRIBUTING.md) for this project.
- [X] I agree to follow the [Code of Conduct](https://github.com/electron/electron/blob/main/CODE_OF_CONDUCT.md) that this project adheres to.
- [X] I have searched the [issue tracker](https://www.github.com/electron/electron/issues) for a bug report that matches the one I want to file, without success.
### Electron Version
33.0.0-beta.3
### What operating system(s) are you using?
macOS
### Operating System Version
macOS Sonoma 14.6.1 (23G93)
### What arch are you using?
arm64 (including Apple Silicon)
### Last Known Working Electron version
_No response_
### Expected Behavior
Don't flicker when switching between views.
### Actual Behavior
Switching between two views back and forth will flicker.
### Testcase Gist URL
https://gist.github.com/code-small-white/76438ffb2a4a7bb6e297ad8ce67f3240
### Additional Information
```js
mainWindow.contentView.addChildView(a)
mainWindow.contentView.removeChildView(b)
```
- Using the above approach, flickering still happens. | platform/macOS,bug :beetle:,status/confirmed,has-repro-gist,33-x-y | low | Critical |
2,548,230,545 | go | x/tools/gopls: usePlaceholders=false disables variable name suggestions when using the var! suffix completion | ### gopls version
golang.org/x/tools/gopls v0.16.1
### go env
```shell
GO111MODULE=''
GOARCH='amd64'
GOBIN=''
GOCACHE='/home/urandom/.cache/go-build'
GOENV='/home/urandom/.config/go/env'
GOEXE=''
GOEXPERIMENT=''
GOFLAGS=''
GOHOSTARCH='amd64'
GOHOSTOS='linux'
GOINSECURE=''
GOMODCACHE='/home/urandom/go/pkg/mod'
GONOPROXY=''
GONOSUMDB=''
GOOS='linux'
GOPATH='/home/urandom/go'
GOPRIVATE=''
GOPROXY='https://proxy.golang.org,direct'
GOROOT='/usr/lib/go'
GOSUMDB='sum.golang.org'
GOTMPDIR=''
GOTOOLCHAIN='auto'
GOTOOLDIR='/usr/lib/go/pkg/tool/linux_amd64'
GOVCS=''
GOVERSION='go1.23.1'
GODEBUG=''
GOTELEMETRY='local'
GOTELEMETRYDIR='/home/urandom/.config/go/telemetry'
GCCGO='gccgo'
GOAMD64='v1'
AR='ar'
CC='gcc'
CXX='g++'
CGO_ENABLED='1'
GOMOD='/dev/null'
GOWORK=''
CGO_CFLAGS='-O2 -g'
CGO_CPPFLAGS=''
CGO_CXXFLAGS='-O2 -g'
CGO_FFLAGS='-O2 -g'
CGO_LDFLAGS='-O2 -g'
PKG_CONFIG='pkg-config'
GOGCCFLAGS='-fPIC -m64 -pthread -Wl,--no-gc-sections -fmessage-length=0 -ffile-prefix-map=/tmp/go-build4155953414=/tmp/go-build -gno-record-gcc-switches'
```
### What did you do?
I've disabled the `usePlaceholders` option, since having it enabled inserts invalid syntax, causing more work.
Then I attempted to complete a `.var!` suffix completion on a function call, in order to have the variables defined.
### What did you see happen?
`, := theFunctionThatWasCompleted()`
### What did you expect to see?
`someVar, err := theFunctionThatWasCompleted()`
### Editor and settings
Zed:
```
"lsp": {
"gopls": {
"initialization_options": {
"usePlaceholders": false
}
}
},
```
### Logs
_No response_ | gopls,Tools,gopls/completion | low | Critical |
2,548,236,756 | TypeScript | Allow `satisfies` in string enum member initializers | ### 🔍 Search Terms
satisfies, enum
### ✅ Viability Checklist
- [X] This wouldn't be a breaking change in existing TypeScript/JavaScript code
- [X] This wouldn't change the runtime behavior of existing JavaScript code
- [X] This could be implemented without emitting different JS based on the types of the expressions
- [X] This isn't a runtime feature (e.g. library functionality, non-ECMAScript syntax with JavaScript output, new syntax sugar for JS, etc.)
- [X] This isn't a request to add a new utility type: https://github.com/microsoft/TypeScript/wiki/No-New-Utility-Types
- [X] This feature would agree with the rest of our Design Goals: https://github.com/Microsoft/TypeScript/wiki/TypeScript-Design-Goals
### ⭐ Suggestion
I suggest that TypeScript should allow this:
```ts
enum Foo {
Foo = "Foo" satisfies "Foo"
}
```
Currently this is treated as a computed enum member and requires `number` type, despite nothing being actually computed here.
### 📃 Motivating Example
With `isolatedModules`/`isolatedDeclarations` enabled references in enum members are restricted. For example, this does not compile with `isolatedDeclarations`:
```ts
const FOO = "Foo"
enum Foo { Foo = FOO }
// Error: Enum member initializers must be computable without references to external symbols with --isolatedDeclarations.
```
`satisfies` here will ensure that `Foo` is properly typed while not referring to external symbols:
```ts
const FOO = "Foo"
enum Foo { Foo = "Foo" satisfies typeof FOO }
```
### 💻 Use Cases
See motivating example above. | Suggestion,Awaiting More Feedback | low | Critical |
2,548,248,435 | deno | Uncaught Error: Not implemented: Pipe.prototype.listen - Windows | Version: Deno 2.0.0-rc.5 (release candidate, release, x86_64-pc-windows-msvc)
When I run `deno run -A .\node_modules\nx\bin\nx.js serve projectName`
I get the following error
```
detached processes are not currently supported on Windows
detached processes are not currently supported on Windows
detached processes are not currently supported on Windows
errorerror: : Uncaught Error: Not implemented: Pipe.prototype.listen - Windows
at notImplemented (ext:deno_node/_utils.ts:9:9)
at Pipe.listen (ext:deno_node/internal_binding/pipe_wrap.ts:144:7)
at Server._setupListenHandle [as _listen2] (node:net:1178:28)
at _listenInCluster (node:net:1012:12)
at Server.listen (node:net:1278:7)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:146:8)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:160:4)
at Module._compile (node:module:748:34)
at Object.Module._extensions..js (node:module:767:10)
at Module.load (node:module:665:32)Uncaught Error: Not implemented: Pipe.prototype.listen - Windows
at notImplemented (ext:deno_node/_utils.ts:9:9)
at Pipe.listen (ext:deno_node/internal_binding/pipe_wrap.ts:144:7)
at Server._setupListenHandle [as _listen2] (node:net:1178:28)
at _listenInCluster (node:net:1012:12)
at Server.listen (node:net:1278:7)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:146:8)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:160:4)
at Module._compile (node:module:748:34)
at Object.Module._extensions..js (node:module:767:10)
at Module.load (node:module:665:32)
error: Uncaught Error: Not implemented: Pipe.prototype.listen - Windows
at notImplemented (ext:deno_node/_utils.ts:9:9)
at Pipe.listen (ext:deno_node/internal_binding/pipe_wrap.ts:144:7)
at Server._setupListenHandle [as _listen2] (node:net:1178:28)
at _listenInCluster (node:net:1012:12)
at Server.listen (node:net:1278:7)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:146:8)
at Object.<anonymous> (file:///<HOME>/deno-2-test/node_modules/.deno/nx@19.7.4/node_modules/nx/src/project-graph/plugins/isolation/plugin-worker.js:160:4)
at Module._compile (node:module:748:34)
at Object.Module._extensions..js (node:module:767:10)
at Module.load (node:module:665:32)
NX Failed to start plugin worker.
```
Is that a compatibility issue, a nx issue or a windows issue? | bug,node compat | low | Critical |
2,548,304,288 | rust | "downstream crates may implement trait for type" for both trait and type private to this crate | ```
$ rustc --version
rustc 1.83.0-nightly (363ae4188 2024-09-24)
```
```rust
use std::cmp::Ordering;
use compare::Compare;
use num_cmp::NumCmp;
trait PartialCompare<L: ?Sized, R: ?Sized = L> {
fn compare(&self, l: &L, r: &R) -> Option<Ordering>;
}
impl<L, R, C: Compare<L, R>> PartialCompare<L, R> for C {
fn compare(&self, l: &L, r: &R) -> Option<Ordering> {
Some(self.compare(l, r))
}
}
#[derive(Default, Debug, Clone, Copy)]
struct NumCompare;
impl<L, R> PartialCompare<L, R> for NumCompare
where
L: NumCmp<R> + Copy,
R: Copy,
{
fn compare(&self, l: &L, r: &R) -> Option<Ordering> {
NumCmp::num_cmp(*l, *r)
}
}
fn main() {}
```
With dependencies:
```toml
num-cmp = "0.1.0"
compare = "0.1.0"
```
Failed to compile:
```
error[E0119]: conflicting implementations of trait `PartialCompare<_, _>` for type `NumCompare`
--> src/main.rs:18:1
|
9 | impl<L, R, C: Compare<L, R>> PartialCompare<L, R> for C {
| ------------------------------------------------------- first implementation here
...
18 | / impl<L, R> PartialCompare<L, R> for NumCompare
19 | | where
20 | | L: NumCmp<R> + Copy,
21 | | R: Copy,
| |____________^ conflicting implementation for `NumCompare`
|
= note: downstream crates may implement trait `compare::Compare<_, _>` for type `NumCompare`
```
Since both `PartialCompare` and `NumCompare` are defined in this crate, the error message seems incorrect. Not sure it's a bug or an error messaging inaccurate. | C-enhancement,T-compiler,D-incorrect,A-coherence | low | Critical |
2,548,324,625 | rust | Tracking Issue for io_error_inprogress | <!--
Thank you for creating a tracking issue!
Tracking issues are for tracking a feature from implementation to stabilization.
Make sure to include the relevant RFC for the feature if it has one.
If the new feature is small, it may be fine to skip the RFC process. In that
case, you can use `issue = "none"` in your initial implementation PR. The
reviewer will ask you to open a tracking issue if they agree your feature can be
added without an RFC.
-->
Feature gate: `#![feature(io_error_inprogress)]`
This is a tracking issue for the `InProgress` variant on `std::io::Error`, equivalent to the Unix `EINPROGRESS` (no equivalent on other platforms).
<!--
Include a short description of the feature.
-->
### Public API
<!--
For most library features, it'd be useful to include a summarized version of the public API.
(E.g. just the public function signatures without their doc comments or implementation.)
-->
```rust
// std::io
pub enum ErrorKind {
// ...
InProgress,
//
}
```
### Steps / History
<!--
For larger features, more steps might be involved.
If the feature is changed later, please add those PRs here as well.
-->
- [x] ACP: https://github.com/rust-lang/libs-team/issues/92
- [x] Implementation:
- #130789
- #130842
- [ ] Final comment period (FCP)[^1]
- [ ] Stabilization PR
<!--
Once the feature has gone through a few release cycles and there are no
unresolved questions left, the feature might be ready for stabilization.
If this feature didn't go through the RFC process, a final comment period
(FCP) is always needed before stabilization. This works as follows:
A library API team member can kick off the stabilization process, at which point
the rfcbot will ask all the team members to verify they agree with
stabilization. Once enough members agree and there are no concerns, the final
comment period begins: this issue will be marked as such and will be listed
in the next This Week in Rust newsletter. If no blocking concerns are raised in
that period of 10 days, a stabilization PR can be opened by anyone.
-->
### Unresolved Questions
<!--
Include any open questions that need to be answered before the feature can be
stabilised. If multiple (unrelated) big questions come up, it can be a good idea
to open a separate issue for each, to make it easier to keep track of the
discussions.
It's useful to link any relevant discussions and conclusions (whether on GitHub,
Zulip, or the internals forum) here.
-->
- None yet.
[^1]: https://std-dev-guide.rust-lang.org/feature-lifecycle/stabilization.html
| T-libs-api,C-tracking-issue | low | Critical |
2,548,325,772 | godot | Editor inspector issue - filename not updating when resource filename changed. | ### Tested versions
Godot 4*
### System information
Windows
### Issue description
If rename resource file (tres, res), - this changes not updated name this resource in inspector.
i rename file to `BronzeSword`, but in inspector still old name - `Sword.tres`
Not critical issue, just QOL, but i make mistake based on wrong name :(
### Steps to reproduce
Make resource, save to file, open in inspector, rename resource in file explorer, check name in inspector.
### Minimal reproduction project (MRP)
- | discussion,topic:editor,usability | low | Minor |
2,548,368,245 | langchain | Python kernel crashes when using Chroma's from_texts from langchain | ### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a similar question and didn't find it.
- [X] I am sure that this is a bug in LangChain rather than my code.
- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
### Example Code
from langchain_community.vectorstores import Chroma
embed_model_path = '.././AI-ModelScope/bge-small-en-v1___5'
from langchain_huggingface import HuggingFaceEmbeddings
embedding = HuggingFaceEmbeddings(model_name=embed_model_path)
texts = [
"Test"
]
try:
smalldb_chinese = Chroma.from_texts(texts, embedding=embedding)
except Exception as r:
print('%s' %(r))
### Error Message and Stack Trace (if applicable)
Process finished with exit code -1073741819 (0xC0000005)
### Description
When using the from_texts method of Chroma from langchain, the Python kernel crashes without any error messages. The process finishes with exit code -1073741819 (0xC0000005). This issue occurs consistently and makes it impossible to use this method effectively. I am using the latest version of Chroma from langchain and have tried on different environments but still encounter the same problem. Any help or suggestions to resolve this issue would be greatly appreciated.
### System Info
System Information
------------------
> OS: Windows
> OS Version: 10.0.22631
> Python Version: 3.12.4 | packaged by Anaconda, Inc. | (main, Jun 18 2024, 15:03:56) [MSC v.1929 64 bit (AMD64)]
Package Information
-------------------
> langchain_core: 0.3.5
> langchain: 0.3.0
> langchain_community: 0.3.0
> langsmith: 0.1.125
> langchain_experimental: 0.3.0
> langchain_huggingface: 0.1.0
> langchain_text_splitters: 0.3.0
Optional packages not installed
-------------------------------
> langgraph
> langserve
Other Dependencies
------------------
> aiohttp: 3.9.5
> async-timeout: Installed. No version info available.
> dataclasses-json: 0.6.7
> httpx: 0.27.0
> huggingface-hub: 0.24.5
> jsonpatch: 1.33
> numpy: 1.26.4
> orjson: 3.10.6
> packaging: 23.2
> pydantic: 2.8.2
> pydantic-settings: 2.5.2
> PyYAML: 6.0.1
> requests: 2.32.2
> sentence-transformers: 3.0.1
> SQLAlchemy: 2.0.30
> tenacity: 8.5.0
> tokenizers: 0.19.1
> transformers: 4.44.0
> typing-extensions: 4.11.0 | Ɑ: vector store,🤖:bug,investigate | low | Critical |
2,548,396,921 | PowerToys | Active Directory Does not show up on workspace | ### Provide a description of requested docs changes
When creating a workspace, all my windows except my 2 active directory windows are added. Is there a reason that the RSAT tool for Active Directly Users and Groups is not being added to the workspace? | Issue-Docs,Needs-Triage | low | Minor |
2,548,423,443 | ollama | molmo by allen ai support | 
https://huggingface.co/allenai/Molmo-7B-D-0924
https://huggingface.co/allenai/Molmo-72B-0924
This models are really good and have potential and fully open-source please give support for them.
thanks. | model request | high | Critical |
2,548,442,242 | pytorch | Add support for immutable tensors in torch.export | ### 🚀 The feature, motivation and pitch
I'm working on exporting an object detection model which casts a list of tensor shapes into a tensor, and I'm trying to hint the compiler that it should treat it as a constant in order to avoid unnecessary `GuardOnDataDependentSymNode` errors. The problem is that when the list is casted to a tensor, it's data "unspecializes" and throws `GuardOnDataDependentSymNode` errors (on the linspace line).
```py
import torch
import torch.nn as nn
import typing
import torch._dynamo as dynamo
import logging
class NetMRE(nn.Module):
def forward(self, x: typing.List[torch.Tensor]):
spatial_shapes: typing.List[typing.Tuple[int, int]] = []
for xi in x:
spatial_shapes.append(xi.shape[2:])
spatial_shapes = torch.as_tensor(spatial_shapes, dtype=torch.long)
reference_points_list = []
for H, W in spatial_shapes:
lin = torch.linspace(0.5, H - 0.5, H, dtype=torch.float32) # --- breaks here
reference_points_list.append(lin)
return reference_points_list
example_kwargs = {
"x": [
torch.rand(1, 3, 64, 64),
torch.rand(1, 3, 32, 32),
],
}
exported_program: torch.export.ExportedProgram = export(
NetMRE(), (), kwargs=example_kwargs, strict=True,
)
```
### Alternatives
1. The easiest fix is to never cast the list to tensor and refactor all subsequent code that uses the tensor operations on that object. Although this is not a terrible alternative, I feel like it could be easily avoidable with the suggested feature.
2. The hackier solution I've found so far is disable the faketensor creation, but it doesn't work with `strict=True` and it also seems like it would probably break other things.
```py
class NetC2v2(nn.Module):
def forward(self, x: typing.List[torch.Tensor]):
spatial_shapes: typing.List[typing.Tuple[int, int]] = []
for i, xi in enumerate(x):
spatial_shapes.append(tuple(xi.shape[2:]))
with unset_fake_temporarily():
with disable_proxy_modes_tracing():
spatial_shapes_tensor = torch.tensor(spatial_shapes, dtype=torch.long)
reference_points = self.get_reference_points(spatial_shapes_tensor)
return reference_points
@staticmethod
def get_reference_points(
spatial_shapes: torch.Tensor,
):
reference_points_list = []
for i in range(len(spatial_shapes)):
with disable_proxy_modes_tracing():
with unset_fake_temporarily():
h = int(spatial_shapes[i][0])
lin = torch.linspace(0.5, h - 0.5, h, dtype=torch.float32)
reference_points_list.append(lin)
return reference_points_list
```
### Additional context
As far as I could see in the codebase, there is support for constant scalar tensors, but couldn't find anything else.
cc @ezyang @chauhang @penguinwu @eellison @avikchaudhuri @gmagogsfm @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4 @zou3519 @bdhirsh @yf225 | triaged,oncall: pt2,module: fakeTensor,module: dynamic shapes,oncall: export,module: pt2-dispatcher | low | Critical |
2,548,508,600 | kubernetes | Inconsistent error message when attempting SSA with the wrong uid | ### What happened?
I am specifying uid in a Server-Side Apply transaction to ensure that the object I am patching is the object I am expecting to patch, and to ensure I am not accidentally creating a new object. When specifying the wrong uid, the error message is:
```
The ConfigMap "foo" is invalid: metadata.uid: Invalid value: "014dbd28-1f25-42cb-a79c-955b98409d02": field is immutable
```
This is an error message about attempting to modify a value. Compare this to the error message from specifying an out-of-date resourceVersion:
```
error: Operation cannot be fulfilled on configmaps "foo": the object has been modified; please apply your changes to the latest version and try again
```
This is explicit about what has occurred.
### What did you expect to happen?
An error message which is clearer that an attempt was made to patch the wrong object. Maybe:
```
error: Operation cannot be fulfilled on configmaps "foo": patch specifies a different uid
```
### How can we reproduce it (as minimally and precisely as possible)?
`cm-test.yaml`:
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: foo
namespace: default
```
```
$ kubectl apply -f cm-test.yaml --server-side
```
Update `cm-test.yaml` with a uid different to whatever was generated:
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: foo
namespace: default
uid: e5a88576-fcda-43ae-88af-4ca2a6087a16
```
```
$ kubectl apply -f cm-test.yaml --server-side
The ConfigMap "foo" is invalid: metadata.uid: Invalid value: "e5a88576-fcda-43ae-88af-4ca2a6087a16": field is immutable
```
### Anything else we need to know?
There may be additional context in https://kubernetes.slack.com/archives/C0EG7JC6T/p1727274176568809
### Kubernetes version
<details>
```console
$ kubectl version
Client Version: v1.28.4
Kustomize Version: v5.0.4-0.20230601165947-6ce0bf390ce3
Server Version: v1.30.0
WARNING: version difference between client (1.28) and server (1.30) exceeds the supported minor version skew of +/-1
```
</details>
### Cloud provider
<details>
N/A
</details>
### OS version
<details>
N/A
</details>
### Install tools
<details>
N/A
</details>
### Container runtime (CRI) and version (if applicable)
<details>
N/A
</details>
### Related plugins (CNI, CSI, ...) and versions (if applicable)
<details>
N/A
</details>
| sig/api-machinery,kind/feature,triage/accepted | low | Critical |
2,548,508,754 | vscode | repl multi-line input shrinks to 1 line after reloading editor | (existing issue for the IW)
1. open the python native repl
2. put multiple lines in the input
3. switch tabs to hide the editor and switch back
:bug:
| bug,interactive-window | low | Critical |
2,548,536,051 | godot | GridMap tiles have white dots on them while the camera is not moving. | ### Tested versions
- Reproducible in v4.3.stable.mono.official [77dcf97d8]
- While it's a bit difficult to downgrade, I remember this existing from around v4.2.stable.mono.official [46dc27791] when I started adding graphics and using GridMap for the first time.
### System information
Godot v4.3.stable.mono - Windows 10.0.22631 - Vulkan (Forward+) - dedicated NVIDIA GeForce RTX 3070 (NVIDIA; 31.0.15.3598) - AMD Ryzen 9 5950X 16-Core Processor (32 Threads)
### Issue description
(While I am primarily using a Windows machine, I have seen this happening on an OLED Steam Deck as well.)
I am using a GridMap in my game as a way to simplify level generation and have been doing a bit of stress testing in worst case conditions to see the performance of it, figure out how to approach it on optimization and whatnot. However, I've noticed from Godot 4.2 onwards is how something in my setup with the tiles is causing random white dot artifacts to appear on the tiles whenever I am not moving the camera around. I've tried to see if they might be present on other objects as well by adding them to the scene at random locations to look at, but the dots only seem to appear on the tiles themselves.
I've also tried creating a completely new project where I precreate a GridMap map with the same tiles that I've generated before, but haven't really noticed artifacts appearing in these situations, making it really difficult to understand what might be causing this.
One weird thing though is that when using regular sky lighting, these visual artifacts are still visible when ambient lighting is turned off for the tiles, meaning it's completely pitch black. Even weirder, while in sky lighting, turning on either fog setting in the world environment, even with 0 values and an invisible fog, makes these artifacts disappear completely, or at the very least making them really hard to notice. It's convenient for me since I wanted to use fog, but it shouldn't be something that's needed to avoid this kind of visual issue.
In the MRP project field, I've included a link that has 2 videos and a zip file of the project on this issue happening on my end.
Direct video links to Youtube:
[Video 1 with the main game application](https://youtu.be/AR-9T3Wcpvs)
[Video 2 with the MRP Project](https://youtu.be/NsYn_6NcQ0s)
### Steps to reproduce
The project that I am developing is a C# project and it's a bit too time consuming to create a completely pure GDScript version for recreation, so the MRP project should be opened with the Mono version of Godot, and then C# Building needs to be enabled through Project -> Tools -> C# -> Create C# Solution.
Once that's done and the project is started, the mouse is used as a simple first person camera, Escape closes the game, and the 1 and 2 keys can be used to change mouse control, so that the editor can be used while the game is open.
The game will then automatically generate a 300x300 grid filled with tiles.
If everything goes as expected, then there should be white dots visible when the camera is not moving around. You can also use the WorldEnvironment field during runtime to see how the dots react to different settings, such as disabling the ambient light and still seeing dots, or enabling fog with a sky background to make the dots disappear.
### Minimal reproduction project (MRP)
Link to files: https://drive.proton.me/urls/AV8N8QQ7YG#vD6phrEfIQBB | bug,topic:editor,needs testing,topic:2d | low | Major |
2,548,536,109 | godot | (MacOS) Dropdowns in the setting menu are opened behind the settings window | ### Tested versions
- Tried in 4.3
### System information
Currently using macOS 12.7.6 21H1320 x86_6 with Intel i5-6360U (4) @ 2.00GHz CPU.
### Issue description
Issue description: Dropdowns in the setting menu are opened behind the settings window
I was trying the 2d tutorial on the starting up docs. When changing the Stretch mode, I noticed the dropdown opened behind the setting window. I can select the options by moving with the arrow keys, but not with the mouse.
### Steps to reproduce
To replicate, I downloaded the latest version of Godot for Mac, created a new project, opened the edit in full screen and opened the settings.
### Minimal reproduction project (MRP)
<img width="1440" alt="Screenshot 2024-09-25 at 17 15 09" src="https://github.com/user-attachments/assets/1f6e2496-375d-4460-91b8-0dc84b1ca88f">
| bug,platform:macos,topic:gui | low | Minor |
2,548,542,004 | vscode | `vscode://settings/foo.bar` links do not work in chat window |
Type: <b>Bug</b>
We have a need to refer to some settings in the chat responses. Ideally we could use the `[Link Notation](vscode://settings/setting.id)`, but this does not work in the chat response--for whatever reason the link is just rendered as plain text instead of a link.
Other links (like web links) work just fine so I'm not sure why it's not working.
VS Code version: Code - Insiders 1.94.0-insider (be2747e47e127ec674148b78dd9556c6317d18bd, 2024-09-25T05:04:31.141Z)
OS version: Windows_NT x64 10.0.22631
Modes:
<details>
<summary>System Info</summary>
|Item|Value|
|---|---|
|CPUs|Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz (20 x 3696)|
|GPU Status|2d_canvas: enabled<br>canvas_oop_rasterization: enabled_on<br>direct_rendering_display_compositor: disabled_off_ok<br>gpu_compositing: enabled<br>multiple_raster_threads: enabled_on<br>opengl: enabled_on<br>rasterization: enabled<br>raw_draw: disabled_off_ok<br>skia_graphite: disabled_off<br>video_decode: enabled<br>video_encode: enabled<br>vulkan: disabled_off<br>webgl: enabled<br>webgl2: enabled<br>webgpu: enabled<br>webnn: disabled_off|
|Load (avg)|undefined|
|Memory (System)|126.84GB (95.28GB free)|
|Process Argv|--log ms-azuretools.vscode-azure-github-copilot=debug --crash-reporter-id a639fe75-6727-46d4-bc6c-acdb3cb6366a|
|Screen Reader|no|
|VM|0%|
</details><details><summary>Extensions (19)</summary>
Extension|Author (truncated)|Version
---|---|---
tsl-problem-matcher|amo|0.6.2
esbuild-problem-matchers|con|0.0.3
vscode-eslint|dba|3.0.10
codespaces|Git|1.17.3
copilot|Git|1.234.1124
copilot-chat|Git|0.21.2024092501
azure-dev|ms-|0.8.3
vscode-azure-github-copilot|ms-|0.2.74
vscode-azureresourcegroups|ms-|0.9.5
vscode-docker|ms-|1.29.3
vscode-dotnet-runtime|ms-|2.1.6
debugpy|ms-|2024.11.2024092501
python|ms-|2024.15.2024092501
remote-containers|ms-|0.387.0
remote-wsl|ms-|0.88.4
extension-test-runner|ms-|0.0.12
vscode-selfhost-test-provider|ms-|0.3.25
vscode-yaml|red|1.15.0
fugio|Tyl|0.0.7
</details><details>
<summary>A/B Experiments</summary>
```
vsliv368:30146709
vspor879:30202332
vspor708:30202333
vspor363:30204092
vswsl492cf:30256198
vscod805:30301674
vsaa593:30376534
py29gd2263:31024238
c4g48928:30535728
vscrpc:30624061
962ge761:30841072
pythongtdpath:30726887
welcomedialog:30812478
pythonnoceb:30776497
asynctok:30898717
dsvsc014:30777825
dsvsc015:30821418
pythonmypyd1:30859725
h48ei257:31000450
pythontbext0:30879054
accentitlementst:30870582
dsvsc016:30879898
dsvsc017:30880771
dsvsc018:30880772
cppperfnew:30980852
pythonait:30973460
945dj816:31013170
a69g1124:31018687
dvdeprecation:31040973
dwnewjupytercf:31046870
nb_pkg_only:31057982
nativerepl1:31134653
refactort:31084545
pythonrstrctxt:31093868
flighttreat:31119334
wkspc-onlycs-t:31132770
nativeloc1:31118317
wkspc-ranged-c:31125598
cf971741:31144450
e80f6927:31120813
fje88620:31121564
12bdf347:31141542
iacca1:31144502
notype1:31143044
c9j82188:31138334
showchatpanel:31139797
f8igb616:31140137
```
</details>
<!-- generated by issue reporter --> | feature-request,panel-chat | low | Critical |
2,548,590,019 | pytorch | torch.compile HUD dashboard should have repro commands | For each of the models in https://hud.pytorch.org/benchmark/torchbench/inductor_no_cudagraphs?dashboard=torchinductor&startTime=Wed,%2018%20Sep%202024%2017:29:36%20GMT&stopTime=Wed,%2025%20Sep%202024%2017:29:36%20GMT&granularity=hour&mode=inference&dtype=bfloat16&deviceName=cuda%20(a100)&lBranch=main&lCommit=1cb265fafae115cc8acec28205e6244179a6b9c1&rBranch=main&rCommit=a0207c8471989f13b0a30d7b532545793fc20cc1
we should be able to generate a repro command. Right now I'm just blindly trying to figure out how to use the test runner (from instructions in https://docs.google.com/document/d/1Nwt8vISn6uh_2TKEWsVMBB8u_LEs3NVTPfnQHAlB_yQ/edit)
cc @seemethere @malfet @pytorch/pytorch-dev-infra @huydhn | module: ci,triaged,enhancement | low | Minor |
2,548,624,529 | TypeScript | Importing causes side effect of changing module resolution for transitive dependencies for other imports in 5.6 | ### 🔎 Search Terms
"module resolution cache", "5.6 cache"
### 🕗 Version & Regression Information
- This changed between versions 5.5.4 and 5.6.2
### ⏯ Playground Link
_No response_
### 💻 Code
Importing dependency B that transitively imports dependency D can pollute the cache for dependency C which also needs dependency D. In the example I observed this caused the types used for D to be CommonJS types for D when ESM should have been used, just because C imported D as CommonJs. This behavior changed in TypeScript 5.6.
---
```ts
import { Aggregate } from '@convex-dev/aggregate'
import { Migrations } from '@convex-dev/migrations'
```
Both of these packages transitively import `convex`.
The @convex-dev/aggregate package is "broken:" it uses export conditions to point '.' (see https://unpkg.com/browse/@convex-dev/aggregate@0.1.6/package.json) to point to a file in a directory with a package.json with `"type": "commonjs"` (see https://unpkg.com/browse/@convex-dev/aggregate@0.1.6/dist/esm/package.json), when based on the directory names that doesn't really make sense.
@convex-dev/migrations works more like you'd expect, a similar layout but the package.json at dist/esm/package.json more reasonably has `"type": "module"`.
### 🙁 Actual behavior
In 5.5.6, just adding the import
```
`import { Aggregate } from '@convex-dev/aggregate`
```
is enough to change the resolution of package 'convex' used by '@convex-dev/migrations'.
`tsc --traceResolution` with `import { Aggregate } from '@convex-dev/aggregate`: cache is used to resolve 'convex/server' to `/Users/tomb/memory-palace/node_modules/convex/dist/cjs-types/server/index.d.ts`
(partial output)
```
======== Resolving module 'convex/server' from '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/index.d.ts'. ========
Explicitly specified module resolution kind: 'Bundler'.
Resolving in CJS mode with conditions 'import', 'types'.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/package.json' does not exist according to earlier cached lookups.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/package.json' exists according to earlier cached lookups.
Loading module 'convex/server' from 'node_modules' folder, target file types: TypeScript, JavaScript, Declaration, JSON.
Searching all ancestor node_modules directories for preferred extensions: TypeScript, Declaration.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/node_modules' does not exist, skipping all lookups in it.
Resolution for module 'convex/server' was found in cache from location '/Users/tomb/memory-palace/node_modules/@convex-dev'.
======== Module name 'convex/server' was successfully resolved to '/Users/tomb/memory-palace/node_modules/convex/dist/cjs-types/server/index.d.ts' with Package ID 'convex/dist/cjs-types/server/index.d.ts@1.16.2+@auth0/auth0-react@2.0.2+react@18.2.0+react-dom@18.2.0'. ========
```
`tsc --traceResolution` with `import { Aggregate } from '@convex-dev/aggregate` commented out: cache is not used, 'convex/server' resolved to `/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts`
(partial output)
```
======== Resolving module 'convex/server' from '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/index.d.ts'. ========
Explicitly specified module resolution kind: 'Bundler'.
Resolving in CJS mode with conditions 'import', 'types'.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/package.json' does not exist according to earlier cached lookups.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/package.json' exists according to earlier cached lookups.
Loading module 'convex/server' from 'node_modules' folder, target file types: TypeScript, JavaScript, Declaration, JSON.
Searching all ancestor node_modules directories for preferred extensions: TypeScript, Declaration.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/node_modules' does not exist, skipping all lookups in it.
File '/Users/tomb/memory-palace/node_modules/convex/server/package.json' exists according to earlier cached lookups.
File '/Users/tomb/memory-palace/node_modules/convex/package.json' exists according to earlier cached lookups.
Entering conditional exports.
Saw non-matching condition 'require'.
Matched 'exports' condition 'import'.
Entering conditional exports.
Matched 'exports' condition 'types'.
Using 'exports' subpath './server' with target './dist/esm-types/server/index.d.ts'.
File '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts' exists - use it as a name resolution result.
Resolved under condition 'types'.
Exiting conditional exports.
Resolved under condition 'import'.
Exiting conditional exports.
Resolving real path for '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts', result '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts'.
======== Module name 'convex/server' was successfully resolved to '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts' with Package ID 'convex/dist/esm-types/server/index.d.ts@1.16.2+@auth0/auth0-react@2.0.2+react@18.2.0+react-dom@18.2.0'. ========
```
### 🙂 Expected behavior
In 5.5.4, adding
```
`import { Aggregate } from '@convex-dev/aggregate`
```
has no effect on the resolution of package 'convex' used by '@convex-dev/migrations'.
`tsc --traceResolution` with `import { Aggregate } from '@convex-dev/aggregate` commented out
(partial output)
```
======== Resolving module 'convex/server' from '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/index.d.ts'. ========
Explicitly specified module resolution kind: 'Bundler'.
Resolving in CJS mode with conditions 'import', 'types'.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/package.json' does not exist.
File '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/package.json' exists according to earlier cached lookups.
Loading module 'convex/server' from 'node_modules' folder, target file types: TypeScript, JavaScript, Declaration, JSON.
Searching all ancestor node_modules directories for preferred extensions: TypeScript, Declaration.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/client/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/esm/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/dist/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/migrations/node_modules' does not exist, skipping all lookups in it.
Directory '/Users/tomb/memory-palace/node_modules/@convex-dev/node_modules' does not exist, skipping all lookups in it.
File '/Users/tomb/memory-palace/node_modules/convex/server/package.json' exists according to earlier cached lookups.
File '/Users/tomb/memory-palace/node_modules/convex/package.json' exists according to earlier cached lookups.
Entering conditional exports.
Saw non-matching condition 'require'.
Matched 'exports' condition 'import'.
Entering conditional exports.
Matched 'exports' condition 'types'.
Using 'exports' subpath './server' with target './dist/esm-types/server/index.d.ts'.
File '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts' exists - use it as a name resolution result.
Resolved under condition 'types'.
Exiting conditional exports.
Resolved under condition 'import'.
Exiting conditional exports.
Resolving real path for '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts', result '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts'.
======== Module name 'convex/server' was successfully resolved to '/Users/tomb/memory-palace/node_modules/convex/dist/esm-types/server/index.d.ts' with Package ID 'convex/dist/esm-types/server/index.d.ts@1.16.2+@auth0/auth0-react@2.0.2+react@18.2.0+react-dom@18.2.0'. ========
```
### Additional information about the issue
Restating the issue: Having already resolved a module import causes important steps to be skipped:
```
Resolution for module 'convex/server' was found in cache from location '/Users/tomb/memory-palace/node_modules/@convex-dev'.
```
seems to indicate that exports condition logic is being skipped inappropriately for this cached lookup: because it had been found before from a place where exports condition "require" matched, that was used instead of re-resolving now that "require" would not have matched. | Needs More Info | low | Critical |
2,548,648,001 | vscode | Improve Language Model Access declaration | <img width="669" alt="image" src="https://github.com/user-attachments/assets/e4f3cab6-0a8c-431a-a775-91ea5ec0f96e">
I've gotten a lot of feedback that this "GitHub Copilot Chat" entry is very confusing. It has nothing to do with Authentication... but it actually the gate for Language Model Access - the language models that GitHub Copilot Chat provides.
This really needs to be made clear. | bug,lm-access | low | Minor |
2,548,667,475 | pytorch | [TorchScript] typing_extensions.deprecated doesn't work | ### 🐛 Describe the bug
From S441024
repro
```python
import torch
from typing_extensions import deprecated
@deprecated("asdf")
def fn():
return torch.compiler.is_compiling()
torch.jit.script(fn)
```
error:
```
Traceback (most recent call last):
File "/data/users/dberard/scripts/torchscript_deprecated.py", line 9, in <module>
torch.jit.script(fn)
File "/data/users/dberard/pytorch/torch/jit/_script.py", line 1429, in script
ret = _script_impl(
^^^^^^^^^^^^^
File "/data/users/dberard/pytorch/torch/jit/_script.py", line 1205, in _script_impl
fn = torch._C._jit_script_compile(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError:
undefined value torch:
File "/home/dberard/.conda/envs/pytorch311/lib/python3.11/site-packages/typing_extensions.py", line 7
@deprecated("asdf")
def fn():
return torch.compiler.is_compiling()
~~~~~ <--- HERE
```
### Versions
viable/strict, CPU build
cc @EikanWang @jgong5 @wenzhe-nrv @sanchitintel | oncall: jit | low | Critical |
2,548,675,122 | pytorch | [NJT] Dropout(0.0) with NJT increments cuda rng_state (only for no-compile) | ### 🐛 Describe the bug
**This only happens without compile**, so might be more of an edge case.
I ran into this while trying to implement a causal self attn + ffn with NJT and validating the results (the rng_state increment here somehow seemed to affect the output, can share a larger repro if this sounds odd).
Conventionally running `Dropout(0.0)` should not bump cuda rng state
```python
# 1. Dense tensor with no compile
import torch
import torch.nn as nn
m = nn.Dropout(0.0)
inp = torch.randn(2, 3, device='cuda')
gpu_rng_state = torch.cuda.get_rng_state()
m(inp)
assert torch.equal(torch.cuda.get_rng_state(), gpu_rng_state) # passes
# 2. Nested tensor with compile
m = nn.Dropout(0.0)
sentence_lengths = torch.tensor([2, 3], device='cuda')
nested_inp = torch.nested.nested_tensor([
torch.randn(l.item(), 3, device='cuda')
for l in sentence_lengths
], layout=torch.jagged)
compiled_m = torch.compile(m)
gpu_rng_state = torch.cuda.get_rng_state()
compiled_m(nested_inp)
assert torch.equal(torch.cuda.get_rng_state(), gpu_rng_state) # passes
# 3. Nested tensor with no compile
m = nn.Dropout(0.0)
sentence_lengths = torch.tensor([2, 3], device='cuda')
nested_inp = torch.nested.nested_tensor([
torch.randn(l.item(), 3, device='cuda')
for l in sentence_lengths
], layout=torch.jagged)
gpu_rng_state = torch.cuda.get_rng_state()
m(nested_inp)
assert torch.equal(torch.cuda.get_rng_state(), gpu_rng_state) # fails
```
### Versions
2.6.0.dev20240925+cu124
cc @cpuhrsch @jbschlosser @bhosmer @drisspg @soulitzer @davidberard98 @YuqingJ | triaged,module: nestedtensor | low | Critical |
2,548,742,676 | rust | Tracking Issue for mem_reshape | Feature gate: `#![feature(mem_reshape)]`
This is a tracking issue for `core::mem::reshape`.
`core::mem::reshape` allows modifying a mutable reference with its moved underlying value.
### Public API
```rust
// core::mem
let mut x = "some_string".to_string();
reshape(&mut x, |x| x + " that is reshaped");
println!("{x}");
```
### Steps / History
- [x] Implementation: #130849
- [ ] Final comment period (FCP)[^1]
- [ ] Stabilization PR
### Unresolved Questions
- None yet.
[^1]: https://std-dev-guide.rust-lang.org/feature-lifecycle/stabilization.html
| T-libs-api,C-tracking-issue | low | Minor |
2,548,757,064 | pytorch | Composition of torch.compile and torch.func.grad silently produces a wrong result. | ### 🐛 Describe the bug
The following code sample shows the case when the composition of ```torch.compile``` and ```torch.func.grad``` of a function silently produces a wrong result.
The output of the JIT-compiled version of the function itself is the same as the output of the uncompiled version of the function.
Curiously, if one comments out the last line before the return statement in the test function ```test_func```, namely ```processed_vars = (processed_vars.unsqueeze(-2) @ dependency_matrix).squeeze(dim=-2)```, the results of the compiled and uncompiled gradients are the same.
```python
import torch
fixed_values = torch.tensor([[ 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[ 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[ 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[-1068.6385, 0.0000, 65.0000, 0.0000, -torch.inf, 0.0000]],
dtype=torch.float64)
free_vars_mask = torch.tensor([[ True, True, False, True, True, True],
[ True, False, True, True, True, True],
[ True, True, True, True, True, True],
[False, False, False, False, False, True]])
dependency_matrix = torch.tensor([[[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 1.0000, 2.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.5000, 1.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 1.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1.0000]],
[[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 1.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 1.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 1.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1.0000]],
[[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 1.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 1.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 1.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1.0000]],
[[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 1.0000, 0.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 1.0000, 0.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 1.0000, 0.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 1.0000, 0.0000],
[0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 1.0000]]],
dtype=torch.float64)
free_vars_linear_indices = torch.where(free_vars_mask.ravel())[0]
free_vars_indices = tuple(map(lambda x: x.detach().clone(),\
torch.unravel_index(free_vars_linear_indices,\
free_vars_mask.shape)))
test_input = torch.tensor([-218.5399, 3.1056, 21.8333, 4.1535, 0.2 , 144.8986,
49.6429, 60.1429, 3.9028, 0.59 , 126.218 , -6.0392,
98.5 , 35.5714, 4.8792, 0.2 , 0.01 ],
dtype=torch.float64)
def to_constrained_params(vars):
two_over_pi = torch.tensor(2.0 / torch.pi, dtype=vars.dtype)
one = torch.tensor(1.0, dtype=vars.dtype)
hundred = torch.tensor(100.0, dtype=vars.dtype)
fifty = torch.tensor(50.0, dtype=vars.dtype)
processed_vars = torch.zeros_like(vars)
processed_vars[:, 0] += (two_over_pi * torch.arctan(vars[:, 0] / hundred) + one)*fifty
processed_vars[:, 2] += torch.abs(vars[:, 2])
processed_vars[:, 3] += torch.abs(vars[:, 3])
processed_vars[:, 4] += torch.exp(vars[:, 4])
processed_vars[:, 1] += torch.abs(vars[:, 1])
processed_vars[[2], 1] *= -1
weights = torch.abs(vars[:, 5])
weights = weights / torch.sum(weights)
processed_vars[:, 5] += weights
return processed_vars
def test_func(free_vars):
# Prepare free variable by placing them at the right indices of the All Variables Matrix
free_vars_same_shape = torch.zeros_like(fixed_values, dtype=free_vars.dtype)
free_vars_same_shape[free_vars_indices] += free_vars
# Create All Variables Matrix by merging free variable and fixed variables
# and performing Unconstrained-To-Constrained transformation
processed_vars = to_constrained_params(fixed_values + free_vars_same_shape)
processed_vars = (processed_vars.unsqueeze(-2) @ dependency_matrix).squeeze(dim=-2)
return processed_vars.sum()
# the Test Function without JIT compilation
print(test_func(test_input))
# tensor(760.4707, dtype=torch.float64)
# the Test Function with JIT compilation - Same Output
print(torch.compile(test_func, fullgraph=True)(test_input))
# tensor(760.4707, dtype=torch.float64)
# The gradient of the test function without JIT
print(torch.func.grad(test_func, argnums=0)(test_input))
# tensor([5.5109e-02, 1.0000e+00, 1.5000e+00, 6.3656e+01, 0.0000e+00, 1.0270e-01,
# 1.0000e+00, 1.0000e+00, 4.9541e+01, 0.0000e+00, 1.2275e-01, 1.0000e+00,
# 1.0000e+00, 1.0000e+00, 1.3153e+02, 0.0000e+00, 0.0000e+00],
# dtype=torch.float64)
# The gradient of the test function with JIT
print(torch.compile(torch.func.grad(test_func, argnums=0), fullgraph=True)(test_input))
# tensor([0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],
# dtype=torch.float64)
```
### Error logs
_No response_
### Minified repro
_No response_
### Versions
Collecting environment information...
PyTorch version: 2.4.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: Ubuntu 24.04.1 LTS (x86_64)
GCC version: (Ubuntu 13.2.0-23ubuntu4) 13.2.0
Clang version: Could not collect
CMake version: version 3.28.3
Libc version: glibc-2.39
Python version: 3.12.2 | packaged by conda-forge | (main, Feb 16 2024, 20:50:58) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-6.11.0-1-t2-noble-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz
CPU family: 6
Model: 158
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Stepping: 13
CPU(s) scaling MHz: 74%
CPU max MHz: 5000.0000
CPU min MHz: 800.0000
BogoMIPS: 4800.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_act_window hwp_epp vnmi md_clear flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 256 KiB (8 instances)
L1i cache: 256 KiB (8 instances)
L2 cache: 2 MiB (8 instances)
L3 cache: 16 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
Vulnerability Gather data sampling: Mitigation; Microcode
Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds: Mitigation; Microcode
Vulnerability Tsx async abort: Mitigation; TSX disabled
Versions of relevant libraries:
[pip3] flake8==7.0.0
[pip3] mypy==1.10.0
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] numpydoc==1.7.0
[pip3] optree==0.12.1
[pip3] torch==2.4.1
[pip3] torchaudio==2.4.1
[pip3] torchopt==0.7.3
[pip3] torchvision==0.19.1
[conda] _anaconda_depends 2024.06 py312_mkl_2
[conda] blas 1.0 mkl
[conda] cpuonly 2.0 0 pytorch
[conda] ffmpeg 4.3 hf484d3e_0 pytorch
[conda] libjpeg-turbo 2.0.0 h9bf148f_0 pytorch
[conda] mkl 2023.1.0 h213fc3f_46344
[conda] mkl-service 2.4.0 py312h5eee18b_1
[conda] mkl_fft 1.3.10 py312h5eee18b_0
[conda] mkl_random 1.2.7 py312h526ad5a_0
[conda] numpy 1.26.4 py312hc5e2394_0
[conda] numpy-base 1.26.4 py312h0da6c21_0
[conda] numpydoc 1.7.0 py312h06a4308_0
[conda] optree 0.12.1 pypi_0 pypi
[conda] pytorch 2.4.1 py3.12_cpu_0 pytorch
[conda] pytorch-mutex 1.0 cpu pytorch
[conda] torchaudio 2.4.1 py312_cpu pytorch
[conda] torchopt 0.7.3 pypi_0 pypi
[conda] torchvision 0.19.1 py312_cpu pytorch
cc @ezyang @gchanan @zou3519 @kadeng @msaroufim @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @muchulee8 @ColinPeppler @amjames @desertfire @aakhundov @BoyuanFeng @rec | high priority,triaged,oncall: pt2,module: inductor | low | Critical |
2,548,788,099 | pytorch | [BUG] torch/extension.h: undefined symbol | ### 🐛 Describe the bug
`ImportError: /path/to/lib/my_pytorch_extension.so: undefined symbol: _ZN8pybind116detail11type_casterIN2at6TensorEvE4castERKS3_NS_19return_value_policyENS_6handleE`
This error occurs when using a C++ extension made with torch/extension.h and CMake. It doesn't occurs when using setuptool.
Here is a simple example to reproduce it:
my_torch_extension.cpp:
```cpp
#include <torch/extension.h> // Cause of the error
#include <pybind11/pybind11.h>
torch::Tensor create_tensor() {
return torch::rand({2, 3});
}
PYBIND11_MODULE(my_pytorch_extension, m) {
m.def("create_tensor", &create_tensor, "Create and return a random tensor");
}
```
CMakeLists.txt:
```cmake
cmake_minimum_required(VERSION 3.10)
project(my_pytorch_extension LANGUAGES CXX)
# Specify the path to the Torch package
set(CMAKE_PREFIX_PATH "/home/user/anaconda3/envs/start/lib/python3.12/site-packages/torch")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS}")
# Find the required packages
find_package(Torch REQUIRED)
find_package(pybind11 REQUIRED)
# Create the shared library
add_library(my_pytorch_extension SHARED my_pytorch_extension.cpp)
# Link the Torch and pybind11 libraries
target_link_libraries(my_pytorch_extension PRIVATE "${TORCH_LIBRARIES}" pybind11::module)
# Set the C++ standard
set_property(TARGET my_pytorch_extension PROPERTY CXX_STANDARD 17)
```
test.py:
```py
import torch
from build import my_pytorch_extension # error here
# Try to use the extension
x = my_pytorch_extension.create_tensor()
```
### Versions
PyTorch version: 2.3.0+rocm5.7
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 5.7.31921-d1770ee1b
OS: Linux Mint 21.3 (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35
Python version: 3.12.1 | packaged by Anaconda, Inc. | (main, Jan 19 2024, 15:51:05) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-121-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Radeon RX 6800 XT (gfx1030)
Nvidia driver version: Could not collect
cuDNN version: Could not collect
HIP runtime version: 5.7.31921
MIOpen runtime version: 2.20.0
Is XNNPACK available: True
CPU:
Architecture : x86_64
Mode(s) opératoire(s) des processeurs : 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Boutisme : Little Endian
Processeur(s) : 16
Liste de processeur(s) en ligne : 0-15
Identifiant constructeur : AuthenticAMD
Nom de modèle : AMD Ryzen 7 5700X3D 8-Core Processor
Famille de processeur : 25
Modèle : 33
Thread(s) par cœur : 2
Cœur(s) par socket : 8
Socket(s) : 1
Révision : 2
Frequency boost: disabled
Vitesse maximale du processeur en MHz : 3200,0000
Vitesse minimale du processeur en MHz : 2200,0000
BogoMIPS : 6388.20
Drapaux : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm
Virtualisation : AMD-V
Cache L1d : 256 KiB (8 instances)
Cache L1i : 256 KiB (8 instances)
Cache L2 : 4 MiB (8 instances)
Cache L3 : 96 MiB (1 instance)
Nœud(s) NUMA : 1
Nœud NUMA 0 de processeur(s) : 0-15
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; safe RET, no microcode
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.3.0+rocm5.7
[pip3] torchaudio==2.3.0+rocm5.7
[pip3] torchvision==0.18.0+rocm5.7
[pip3] triton==2.2.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] torch 2.3.0+rocm5.7 pypi_0 pypi
[conda] torchaudio 2.3.0+rocm5.7 pypi_0 pypi
[conda] torchvision 0.18.0+rocm5.7 pypi_0 pypi
[conda] triton 2.2.0 pypi_0 pypi
cc @malfet @zou3519 @xmfan @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | module: cpp-extensions,triaged,module: pybind | low | Critical |
2,548,820,146 | deno | WebGPU: Deno Panics when a destroyed texture is used in a render pass | Hi!
The following WebGPU program panics when a destroyed texture is used in a render pass. I think the correct behaviour is to throw some sort of validation error instead.
I've tested this on v1.46.3 and 2.0.0-rc.5, and both versions produce the same error. I've only tested this on macOS.
Here is the WebGPU program:
```js
const adapter = await navigator.gpu.requestAdapter();
const device = await adapter.requestDevice();
const encoder = device.createCommandEncoder();
const texture = device.createTexture({
dimension: "2d",
format: "rg16float",
size: {
width: 1540,
},
usage: GPUTextureUsage.RENDER_ATTACHMENT,
});
const textureView = texture.createView();
const renderPassEncoder = encoder.beginRenderPass({
colorAttachments: [
{
r: 1.0,
loadOp: "load",
storeOp: "store",
view: textureView,
},
],
});
texture.destroy();
renderPassEncoder.end();
```
This is how I ran the program:
```console
RUST_BACKTRACE=1 DENO_WEBGPU_BACKEND=metal deno run --allow-read --unstable-webgpu --allow-write webgpu.js
```
And here is the backtrace:
```console
thread 'main' panicked at /Users/runner/.cargo/registry/src/index.crates.io-6f17d22bba15001f/wgpu-core-0.21.1/src/storage.rs:113:39:
TextureView[Id(0,1,mtl)] does not exist
stack backtrace:
0: _rust_begin_unwind
1: core::panicking::panic_fmt
2: wgpu_core::storage::Storage<T>::get
3: wgpu_core::track::stateless::StatelessTracker<T>::add_single
4: wgpu_core::command::render::<impl wgpu_core::global::Global>::command_encoder_run_render_pass_impl
5: wgpu_core::command::render::<impl wgpu_core::global::Global>::command_encoder_run_render_pass
6: deno_webgpu::render_pass::op_webgpu_render_pass_end::op_webgpu_render_pass_end::v8_fn_ptr
note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.
```
| webgpu | low | Critical |
2,548,861,612 | kubernetes | [golang/go] x/net/http2: configurable server pings | ### What would you like to be added?
Add support to the apiserver send http2 ping frames to detect idle connections,[ it will be available in golang 1.24 ](https://github.com/golang/go/issues/67812)
### Why is this needed?
One of the most complex networking problems to troubleshoot are caused by stale connections, network hiccups or intermediate devices that lose the connection state can make connections to go idle without both endpoints noticing it.
The most common solution is for the application to implement network keepalives to detect the problems, http2 uses pings frames. We are already setting by default the http2 ping frames mechanism for clients with great success
https://github.com/kubernetes/kubernetes/blob/e542d9c8caa2c514a1e0c215f8c8a97386715777/staging/src/k8s.io/apimachinery/pkg/util/net/http.go#L179-L189
but adding it server side, will allow us improve our reliability extending this capabilities to all clients that are connected to the apiserver
/sig network
/sig api-machinery
/cc @ericlin | sig/network,sig/api-machinery,kind/feature,priority/important-longterm,triage/accepted | low | Major |
2,548,929,857 | three.js | WebGPURenderer: Concurrency issue. | ### Description
I believe @sunag is working on this, but posting here for reference:
This code block is leading to a concurrency problem.
https://github.com/mrdoob/three.js/blob/7b9a543a488cd842c41d9cee4fd4a826082475f2/src/renderers/common/PostProcessing.js#L69-L85
While awaiting `renderAsync()` to resolve, other asychronous calls to `renderer.render()` can occur -- in a loader callback, for example.
Adding some print statememts to the above block, I get results like this:
```
renderer.toneMapping temporarily set to: 0
renderer.toneMapping temporarily set to: 0
renderer.toneMapping restored to: 2
renderer.toneMapping restored to: 0
renderer.toneMapping temporarily set to: 0
renderer.toneMapping restored to: 0
renderer.toneMapping temporarily set to: 0
renderer.toneMapping restored to: 0
.
.
```
### Reproduction steps
see above
### Code
see above
### Live example
n/a
### Screenshots
_No response_
### Version
r169dev
### Device
_No response_
### Browser
_No response_
### OS
_No response_ | Enhancement | low | Minor |
2,548,949,052 | rust | Tracking issue for rename from "object safe" to "dyn compatible" | This is a tracking issue for the change to call traits that are compatible with `dyn` from "object safe" to "dyn compatible".
### About tracking issues
Tracking issues are used to record the overall progress of implementation. They are also used as hubs connecting to other relevant issues, e.g., bugs or open design questions. A tracking issue is however *not* meant for large scale discussion, questions, or bug reports about a feature. Instead, open a dedicated issue for the specific matter and add the relevant feature gate label.
### Steps
- [x] Decide to do this.
- https://github.com/rust-lang/lang-team/issues/286
- [x] Update rustdoc.
- #126554
- #131594
- #131595
- #135858
- #135898
- [ ] Update the compiler.
- #130826
- #131475
- #133372
- #135860
- Update `compiler/rustc_codegen_cranelift` (out of tree, not in-tree)
- Update `compiler/rustc_codegen_gcc` (out of tree, not in-tree)
- [x] Update the standard library.
- #130827
- #135856
- [x] Update the Reference.
- https://github.com/rust-lang/reference/pull/1512
- https://github.com/rust-lang/reference/pull/1666
- [x] Update the dev guide.
- https://github.com/rust-lang/rustc-dev-guide/pull/2083
- [x] Update rust-analyzer.
- https://github.com/rust-lang/rust-analyzer/pull/18205
- [ ] Update Miri.
- [ ] Update the Book?
- [x] Update all open issues on this issue tracker (title, description).
- [x] Fix all `FIXME(dyn_compat_renaming)` (mostly concerns URLs to the Reference).
- [ ] Add an entry to the **relnotes** (`RELEASES.md`).
To do so, consider opening a new [relnotes tracking issue](https://github.com/rust-lang/rust/labels/relnotes-tracking-issue) with the relevant details.
cc @rust-lang/lang @fmease
| T-lang,A-docs,C-tracking-issue,A-dyn-compatibility | low | Critical |
2,549,005,342 | vscode | Move cursor when adding secondary cursors | <!-- ⚠️⚠️ Do Not Delete This! feature_request_template ⚠️⚠️ -->
<!-- Please read our Rules of Conduct: https://opensource.microsoft.com/codeofconduct/ -->
<!-- Please search existing issues to avoid creating duplicates. -->
<!-- Describe the feature you'd like. -->
The multi-cursor experience with VSCode can feel a bit jarring. It supports advanced and smart features, but seems to lack support for basic / minimal features or implementations. Especially when considering use cases like not wanting to touch a mouse for text editing.
To put it simply, I'd like to be able to make basic multi-cursor editing work the way it does in Notepad++. (Specifically with "Enable Multi-Editing" enabled but "Enable Column Selection to Multi-Editing" disabled.)
Currently, the basic way to edit multiple lines simultaneously is to use the keyboard shortcuts for editor.action.insertCursorAbove and editor.action.insertCursorBelow to spawn secondary cursors. If your cursor is on line 22. pressing editor.action.insertCursorBelow twice will result in cursors on lines 22, 23, and 24. If you then press editor.action.insertCursorAbove once it will result in cursors on lines 21, 22, 23, and 24.
If you accidentally press either keybind too many times, you can either use the cursorUndo keybind to sequentially remove the secondary cursors or use the removeSecondaryCursors keybind to exit multi-cursor mode and start over.
If you press the keybind to removeSecondaryCursors then your cursor will be back on line 22, where it was before you spawned any secondary cursors.
This alone is already an unintuitive implementation. It operates differently from other selection / editing modes such as, for example, highlighting text with cursorUpSelect and cursorDownSelect.
I propose that keyboard-centric manipulation of multi-line editing should instead work like the following:
If your cursor is on line 22, pressing editor.action.multiCursorExtendDown twice will result in cursors on lines 22, 23, and 24. If you then press editor.action.multiCursorExtendUp once it will result in cursors on lines 22 and 23. If you then press editor.action.multiCursorExtendUp once more it will result in a single cursor on line 22, effectively exited multi-cursor mode. If you then press editor.action.multiCursorExtendUp once more again it will result in cursors on lines 21 and 22.
If you press the removeSecondaryCursors keybind then your cursor will be on line 21, the last place you moved your cursor to.
Preferably, this would also come with a toggle setting to make the 4 unmodified arrow buttons exit multi-cursor mode instead of moving the (rectangular) multi-cursors. Specifically, up or down would move the cursor up or down as normal, left would move the cursor to where the top-left multi-cursor was, and right would move the cursor to where the bottom-right multi-cursor was. All resulting in a single cursor, obviously
I've used two mock commands in my example proposal as I presume some may prefer the current paradigm, and thus it'd be easier to implement this functionality using new commands rather than changing the behavior of existing commands. | ux,editor-multicursor,under-discussion | low | Minor |
2,549,025,225 | pytorch | torch.nn.InstanceNorm3d producing inconsistent output for float16 tensors on CPU and GPU | ### 🐛 Describe the bug
torch.nn.InstanceNorm3d is returning inconsistent output (with `atol = 1e-1`) on CPU vs GPU. The input file can be downloaded from here: [instancenorm3d_input.safetensors](https://drive.google.com/file/d/1MNE5bRlufVSeyTeiC-S-xNdZcWSL1RlO/view?usp=sharing).
Minimal repro:
```python
import torch
import numpy as np
from safetensors import safe_open
src_tensor_file = "instancenorm3d_input.safetensors"
with safe_open(src_tensor_file, framework="pt", device='cpu') as f:
input_tensor = f.get_tensor('input')
num_features = 1
eps = 0.313232421875
print(input_tensor.dtype) # torch.float16
print(torch.max(input_tensor)) # 1
print(torch.min(input_tensor)) # 6.3181e-06
m = torch.nn.InstanceNorm3d(num_features=num_features, eps=eps)
out_cpu = m(input_tensor)
out_gpu = m.cuda()(input_tensor.cuda())
np.testing.assert_allclose(out_cpu.numpy(), out_gpu.cpu().numpy(), atol=1e-1, equal_nan=True)
# AssertionError:
# Not equal to tolerance rtol=1e-07, atol=0.1
# Mismatched elements: 25 / 65536 (0.0381%)
# Max absolute difference: 0.1001
# Max relative difference: 1.
# x: array([[[[-0.1375 , 0.4175 , -0.566 , ..., 0.05627 , 0.3625 ,
# -0.189 ],
# [ 0.0048 , -0.3333 , 0.2212 , ..., -0.8726 , 0.8496 ,...
# y: array([[[[-0.1222 , 0.3708 , -0.503 , ..., 0.04993 , 0.322 ,
# -0.168 ],
# [ 0.004173, -0.2964 , 0.1964 , ..., -0.7754 , 0.755 ,...
```
Also reproducible in [colab](https://colab.research.google.com/drive/1oBIXjNcMKb9Z8Ew-t-l02AzkItwLoLiG?usp=sharing) (need to upload the safetensors file to the files tab first to reproduce)
Could be related to [135542](https://github.com/pytorch/pytorch/issues/135542)
### Versions
Collecting environment information...
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.6 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: 15.0.0 (git@github.com:llvm/llvm-project.git 4ba6a9c9f65bbc8bd06e3652cb20fd4dfc846137)
CMake version: version 3.22.1
Libc version: glibc-2.31
Python version: 3.10.0 (default, Mar 3 2022, 09:58:08) [GCC 7.5.0] (64-bit runtime)
Python platform: Linux-5.15.0-117-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 4090
Nvidia driver version: 555.42.02
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 39 bits physical, 48 bits virtual
CPU(s): 24
On-line CPU(s) list: 0-23
Thread(s) per core: 1
Core(s) per socket: 16
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 183
Model name: 13th Gen Intel(R) Core(TM) i7-13700KF
Stepping: 1
CPU MHz: 3400.000
CPU max MHz: 5800.0000
CPU min MHz: 800.0000
BogoMIPS: 6835.20
Virtualization: VT-x
L1d cache: 384 KiB
L1i cache: 256 KiB
L2 cache: 16 MiB
NUMA node0 CPU(s): 0-23
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Mitigation; Clear Register File
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req umip pku ospke waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize arch_lbr flush_l1d arch_capabilities
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] optree==0.11.0
[pip3] torch==2.4.0
[pip3] triton==3.0.0
[conda] numpy 1.26.4 py310heeff2f4_0
[conda] numpy-base 1.26.4 py310h8a23956_0
[conda] optree 0.11.0 pypi_0 pypi
[conda] torch 2.4.0 pypi_0 pypi
[conda] triton 3.0.0 pypi_0 pypi
cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki | module: nn,triaged,module: half | low | Critical |
2,549,025,640 | pytorch | [triton_op] Automatically `tl.constexpr` user-written kernel params when they are static integers | ### 🚀 The feature, motivation and pitch
This feature request is inspired by @davidberard98's recent bugfix: https://github.com/pytorch/pytorch/pull/136512
Let's say I write a custom Triton kernel which takes in a tensor shape `M`. I have two options:
* I can make it a normal param, which forces Triton to generate slower PTX code
* I can make it a `tl.constexpr` param, which will force recompilation of the entire model for each value of `M`
This forces me to gamble on whether `M` is static or dynamic in real-life usage. If I lose the wager, I could hurt performance or explode compile time.
But Dynamo already knows whether `M` is dynamic (represented by a SymPy integer) or static (part of the input constraints). Why force the user to make the `tl.constexpr` decision, when Inductor already has sufficient information to make that decision?
Proposal: have `triton_op()` automatically convert static params to `tl.constexpr`. Users can omit `tl.constexpr` and be assured that Inductor will add it whenever possible. If users really want to force full-model recompilation, they still have the option to add `tl.constexpr` manually: Inductor will add it when possible, but never remove it.
cc @ezyang @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @oulgen @aakhundov @zou3519 | triaged,oncall: pt2,module: dynamic shapes,module: inductor,module: user triton | low | Critical |
2,549,036,432 | ollama | Please add OrdalieTech/Solon-embeddings-large-0.1 / OrdalieTech/Solon-embeddings-base-0.1 | Best French embedding models. By far.
https://huggingface.co/OrdalieTech/Solon-embeddings-base-0.1
https://huggingface.co/OrdalieTech/Solon-embeddings-large-0.1
https://ordalie.ai/research/solon | model request | low | Minor |
2,549,064,334 | flutter | [monorepo] update the process of syncing shared web artifacts to gstatic | At some point in time while we're merging the repos, we have to update the process that syncs static web engine artifacts to gstatic.google.com. Currently, the process takes advantage of asynchrony between changes landing in `flutter/engine` and `flutter/flutter`, as follows:
1. Commit lands in `flutter/engine`.
2. Post-submit bots build web engine artifacts and upload to the cloud buckets.
3. Asynchronously an internal process syncs the artifacts from the cloud buckets to gstatic.
4. Autoroller creates a roll PR in `flutter/flutter`, which can only land if [web_resources_cdn_test.dart](https://github.com/flutter/flutter/blob/master/dev/integration_tests/web/lib/web_resources_cdn_test.dart) passes.
Technically there's a race between steps 3 and 4, but because step 3 is so fast that by the time you get to `web_resources_cdn_test.dart` CDN resources are ready.
I don't know exactly what changes with the monorepo case, but we need to be aware of the following things:
1. Are the cloud buckets changing after the merge? If yes, the internal sync process needs to be updated to pull from new buckets, which may also require updating pub-sub queues that need to listen to different buckets.
2. After the merge, the same CI job will be performing all steps. Since there's no asynchronous gap any more, we need to make sure we sequence all the steps correctly. In particular, the assumption that artifacts will be ready before `web_resources_cdn_test.dart` runs may no longer be true. We may want to have the test wait for artifacts to appear.
3. gstatic resources won't be available at pre-submit, so any tests that rely on gstatic will have to be made post-submit only. Hopefully, we have few of these. Tests should avoid relying on non-local resources because that tends to make things flaky. However, we do want a couple of smoke tests to make sure Flutter Web functions well when using the CDN. | team-infra,P2,triaged-infra,monorepo | low | Minor |
2,549,065,786 | deno | WebGPU adapter.info call fails after device creation | Hi! I wasn't too sure if this was a bug, but I got an unexpected error for this WebGPU program:
```js
async function main() {
const adapter = await navigator.gpu.requestAdapter();
const device = adapter.requestDevice();
console.log(adapter.info);
}
main()
.then(() => {})
.catch((error) => {
console.log(error);
});
```
When you run the program with:
```console
DENO_WEBGPU_BACKEND=metal deno run --allow-read --unstable-webgpu --allow-write webgpu.js
```
It outputs this on both versions 1.46.3 and 2.0.0-rc.5:
```console
TypeError: The adapter cannot be reused, as it has been invalidated by a device creation
at GPUAdapter.get info (ext:deno_webgpu/01_webgpu.js:520:13)
at main (file:///Users/test_case.js:14:22)
```
But this error doesn't show up if you replace the `adapter.info` call with any of other other `adapter` attributes such as:
```js
adapter.limits
adapter.features
adapter.isFallbackAdapter
```
I was wondering if there was a specific reason only `adapter.info` would be disabled after `requestDevice` is called or if this might be some sort of bug. Thanks!
| needs investigation,webgpu | low | Critical |
2,549,076,464 | rust | Tracking issue for `proc_macro` in non-`proc-macro` crates | This is a tracking issue for making `proc_macro` usable in all crates, not just those with crate type `proc-macro`. Advantages:
- Simplified testing of procedural macros
- Examples in the [API docs](https://doc.rust-lang.org/proc_macro/index.html) can get checked or run. Development of `proc_macro` would probably get a bit easier in general
- Fewer crates would need a dependency on [`proc_macro2`](https://docs.rs/proc-macro2/latest/proc_macro2/), which exists to solve these problems
- This would be a step toward same-crate proc macros, if we ever decide we want them
`proc_macro2` does this by selecting between the actual bridge implementation and a fallback, https://github.com/dtolnay/proc-macro2/blob/9c1d3eb1b6bddc5b86522bf3af98c2fb3de8e30a/src/lib.rs#L154-L158.
Zulip thread: https://rust-lang.zulipchat.com/#narrow/stream/404510-wg-macros/topic/Using.20proc_macro.20outside.20of.20proc.20macro.20crates (also some around https://rust-lang.zulipchat.com/#narrow/stream/213817-t-lang/topic/Future.20macro.20possibilities.20.28e.2Eg.2E.20inline.20procedural.20macros.2E.2E.2E/near/472781328)
### About tracking issues
Tracking issues are used to record the overall progress of implementation.
They are also used as hubs connecting to other relevant issues, e.g., bugs or open design questions.
A tracking issue is however *not* meant for large scale discussion, questions, or bug reports about a feature.
Instead, open a dedicated issue for the specific matter and add the relevant feature gate label.
Discussion comments will get marked as off-topic or deleted.
Repeated discussions on the tracking issue may lead to the tracking issue getting locked.
### Steps
- [ ] ACP https://github.com/rust-lang/libs-team/issues/406
- [ ] Implementation
- [ ] Adjust documentation ([see instructions on rustc-dev-guide][doc-guide])
- [ ] Stabilization PR ([see instructions on rustc-dev-guide][stabilization-guide])
[stabilization-guide]: https://rustc-dev-guide.rust-lang.org/stabilization_guide.html#stabilization-pr
[doc-guide]: https://rustc-dev-guide.rust-lang.org/stabilization_guide.html#documentation-prs
### Unresolved Questions
ACP is not yet complete, design work needed
### Implementation history | A-macros,T-compiler,E-medium,C-tracking-issue,T-libs,A-proc-macros,WG-macros | low | Critical |
2,549,098,135 | pytorch | DISABLED test_pinned_memory_empty_cache (__main__.TestCuda) | Platforms: rocm
This test was disabled because it is failing in CI with a seg fault eg. https://github.com/pytorch/pytorch/actions/runs/11026453746/job/30623960471, but passes when rerun in a single process. It causes the xml reports for the previously-run tests in test_cuda to be lost and thus show up as missing in our analysis.
cc @jeffdaily @sunway513 @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd | module: rocm,triaged,skipped | low | Minor |
2,549,124,241 | pytorch | Segfaulting/aborting unit tests do not show up in "Show Additional Test Info" section | We are observing certain tests seg faulting or aborting the test process, which triggers a rerun (as expected) in the CI.
As discussed in https://github.com/pytorch/pytorch/issues/123882, the xml reports get overwritten and thus miss the tests run before the segfaulting/aborting test, and don't even capture the failure of the segfaulting/aborting test.
In this situation, the HUD page could at least surface these failures in the "Show Additional Test Info" section, but it doesn't. Eg.
https://hud.pytorch.org/pytorch/pytorch/commit/1cb265fafae115cc8acec28205e6244179a6b9c1#rocm
has some tests in shard [3](https://github.com/pytorch/pytorch/actions/runs/11026453746/job/30623959867#step:15:8934) and [6](https://github.com/pytorch/pytorch/actions/runs/11026453746/job/30623960471#step:15:4283) failing with a seg fault or aborting, but it doesn't show them in the "Show Additional Test Info" section.
| oncall: releng,triaged | low | Critical |
2,549,142,914 | pytorch | NotImplementedError: The operator 'aten::linalg_matrix_exp' is not currently implemented for the MPS device. | ### 🚀 The feature, motivation and pitch
Please implement 'aten::linalg_matrix_exp' for mps, thanks!
Full error:
NotImplementedError: The operator 'aten::linalg_matrix_exp' is not currently implemented for the MPS device. If you want this op to be added in priority during the prototype phase of this feature, please comment on https://github.com/pytorch/pytorch/issues/77764. As a temporary fix, you can set the environment variable `PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.
### Alternatives
_No response_
### Additional context
_No response_
cc @kulinseth @albanD @malfet @DenisVieriu97 @jhavukainen | triaged,enhancement,module: mps | low | Critical |
2,549,143,998 | TypeScript | Create flag strictVariableInitialization | ### 🔍 Search Terms
uninitialized variable, undefined, closure, strict property initialization,
### ✅ Viability Checklist
- [X] This wouldn't be a breaking change in existing TypeScript/JavaScript code
- [X] This wouldn't change the runtime behavior of existing JavaScript code
- [X] This could be implemented without emitting different JS based on the types of the expressions
- [X] This isn't a runtime feature (e.g. library functionality, non-ECMAScript syntax with JavaScript output, new syntax sugar for JS, etc.)
- [X] This isn't a request to add a new utility type: https://github.com/microsoft/TypeScript/wiki/No-New-Utility-Types
- [X] This feature would agree with the rest of our Design Goals: https://github.com/Microsoft/TypeScript/wiki/TypeScript-Design-Goals
### ⭐ Suggestion
I would like to see a check that ensures that no variable whose type is not permitted to be `undefined` may remain uninitialized at the end of its scope.
### 📃 Motivating Example
TypeScript allows unsafety that can and does catch users by surprise when using variables in a closure. Normally, TS won't let you access an uninitialized variable:
```ts
function doSomething() {
let foo: string;
foo.toLowerCase(); // TS ERROR: Variable 'foo' is used before being assigned
}
```
However, TypeScript optimistically assumes that variables are initialized when used in closures.
```ts
let foo: string;
function printFoo() {
console.log(foo.toLowerCase());
}
printFoo(); // Uncaught TypeError: Cannot read properties of undefined (reading 'toLowerCase')
```
That's for good reason, but sometimes, as in the above case, this is _provably_ unsafe, since `foo` is guaranteed not to be initialized.
The new flag "strictVariableInitialization" ensures that a variable _must_ be initialized by the end of all reachable codepaths in its scope.
```ts
let foo: string; // (proposed) TS ERROR: `foo` is not initialized in all reachable codepaths
function printFoo() {
console.log(foo.toLowerCase());
}
printFoo()
```
Of course, variables whose type includes `undefined` are still permitted to be uninitialized.
```ts
let foo: string | undefined;
function printFoo() {
console.log(foo?.toLowerCase());
}
printFoo();
```
This check is highly analogous to [strictPropertyInitialization](https://www.typescriptlang.org/tsconfig/#strictPropertyInitialization) for classes.
### 💻 Use Cases
See https://github.com/typescript-eslint/typescript-eslint/issues/9565 for a somewhat-wordier proposal in typescript-eslint, and https://github.com/typescript-eslint/typescript-eslint/issues/4513 and https://github.com/typescript-eslint/typescript-eslint/issues/10055#issuecomment-2374797860 for cases where this has caused confusion in the wild.
In short, people who have written code that _does_ check for initialization of non-nullable variables become confused by the linter informing them that the check is unnecessary according to the types, even though they can see that it _is_ necessary at runtime:
```ts
let foo: Something
function useFoo() {
if (foo != null) { // linter flags this condition as unnecessary since foo cannot be nullish
foo.bar();
}
}
```
The code _should_ be rewritten as
```ts
let foo: Something | undefined
function useFoo() {
if (foo != null) {
foo.bar();
}
}
``` | Suggestion,Awaiting More Feedback | low | Critical |
2,549,146,244 | flutter | Tiny memory leak in embedder interface | ### Steps to reproduce
1. Run a custom flutter embedder with leak sanitizer
### Expected results
No memory is leaked
https://github.com/flutter/engine/blob/f7668afbd88edeae15dc28e1879f0985c366e4d5/shell/platform/embedder/embedder.cc#L917-L926
### Actual results
LeakSanitizer reports a memory leak of 16 bytes becuase the `delete` operator is used to delete a `std::unique_ptr` guarded pointer.
### Code sample
See this code snippet here:
https://github.com/flutter/engine/blob/f7668afbd88edeae15dc28e1879f0985c366e4d5/shell/platform/embedder/embedder.cc#L917-L926
In Line 917, a `std::unique_ptr` is allocated, using `std::make_unique`. This allocates an instance of `Captures`, **plus some internal data**. In line 925, the `delete` operator is used to delete the instance which was previously captured in the `unique_ptr`.
This causes a memory leak of 16 byte.
### Logs
<details open><summary>Logs</summary>
```console
=================================================================
==2840363==ERROR: LeakSanitizer: detected memory leaks
Direct leak of 16 byte(s) in 1 object(s) allocated from:
#0 0x55555573aca9 in malloc /rustc/llvm/src/llvm-project/compiler-rt/lib/lsan/lsan_interceptors.cpp:75:3
#1 0x7ffff0fc54ec in operator new(unsigned long) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/src/new.cpp:67:17
#2 0x7ffff0e89e50 in std::_fl::__unique_if<MakeSkSurfaceFromBackingStore(GrDirectContext*, FlutterBackingStoreConfig const&, FlutterSoftwareBackingStore2 const*)::Captures>::__unique_single std::_fl::make_unique[abi:v15000]<MakeSkSurfaceFromBackingStore(GrDirectContext*, FlutterBackingStoreConfig const&, FlutterSoftwareBackingStore2 const*)::Captures>() /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__memory/unique_ptr.h:714:28
#3 0x7ffff0e86cd5 in MakeSkSurfaceFromBackingStore(GrDirectContext*, FlutterBackingStoreConfig const&, FlutterSoftwareBackingStore2 const*) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder.cc:921:19
#4 0x7ffff0e8592b in CreateEmbedderRenderTarget(FlutterCompositor const*, FlutterBackingStoreConfig const&, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, bool) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder.cc:1278:27
#5 0x7ffff0e85140 in _ZZL33InferExternalViewEmbedderFromArgsPK17FlutterCompositorbENK3$_0clI25FlutterBackingStoreConfigEEDaP15GrDirectContextRKNSt3_fl10shared_ptrIN8impeller11AiksContextEEERKT_ /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder.cc:1353:20
#6 0x7ffff0e850ea in decltype(std::declval<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0&>()(std::declval<GrDirectContext*>(), std::declval<std::_fl::shared_ptr<impeller::AiksContext> const&>(), std::declval<FlutterBackingStoreConfig const&>())) std::_fl::__invoke[abi:v15000]<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0&, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&>(InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0&, GrDirectContext*&&, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:403:23
#7 0x7ffff0e85077 in std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> std::_fl::__invoke_void_return_wrapper<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>>, false>::__call<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0&, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&>(InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0&, GrDirectContext*&&, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:479:16
#8 0x7ffff0e85027 in std::_fl::__function::__alloc_func<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0, std::_fl::allocator<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0>, std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&)>::operator()[abi:v15000](GrDirectContext*&&, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:185:16
#9 0x7ffff0e8451b in std::_fl::__function::__func<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0, std::_fl::allocator<InferExternalViewEmbedderFromArgs(FlutterCompositor const*, bool)::$_0>, std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&)>::operator()(GrDirectContext*&&, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:359:12
#10 0x7ffff0efd00c in std::_fl::__function::__value_func<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&)>::operator()[abi:v15000](GrDirectContext*&&, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:512:16
#11 0x7ffff0efcf97 in std::_fl::function<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&)>::operator()(GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, FlutterBackingStoreConfig const&) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:1187:12
#12 0x7ffff0ef12df in flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0::operator()(SkISize const&) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder_external_view_embedder.cc:451:12
#13 0x7ffff0ef11c7 in decltype(std::declval<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0&>()(std::declval<SkISize const&>())) std::_fl::__invoke[abi:v15000]<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0&, SkISize const&>(flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0&, SkISize const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:403:23
#14 0x7ffff0ef1167 in std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> std::_fl::__invoke_void_return_wrapper<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>>, false>::__call<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0&, SkISize const&>(flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0&, SkISize const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:479:16
#15 0x7ffff0ef1127 in std::_fl::__function::__alloc_func<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0, std::_fl::allocator<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0>, std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (SkISize const&)>::operator()[abi:v15000](SkISize const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:185:16
#16 0x7ffff0ef063b in std::_fl::__function::__func<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0, std::_fl::allocator<flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>)::$_0>, std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (SkISize const&)>::operator()(SkISize const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:359:12
#17 0x7ffff0ef4d8c in std::_fl::__function::__value_func<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (SkISize const&)>::operator()[abi:v15000](SkISize const&) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:512:16
#18 0x7ffff0ef4cc7 in std::_fl::function<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (SkISize const&)>::operator()(SkISize const&) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:1187:12
#19 0x7ffff0eebeaf in flutter::(anonymous namespace)::LayerBuilder::PrepareBackingStore(std::_fl::function<std::_fl::unique_ptr<flutter::EmbedderRenderTarget, std::_fl::default_delete<flutter::EmbedderRenderTarget>> (SkISize const&)> const&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder_external_view_embedder.cc:320:31
#20 0x7ffff0eeb9e3 in flutter::EmbedderExternalViewEmbedder::SubmitFlutterView(long, GrDirectContext*, std::_fl::shared_ptr<impeller::AiksContext> const&, std::_fl::unique_ptr<flutter::SurfaceFrame, std::_fl::default_delete<flutter::SurfaceFrame>>) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/platform/embedder/embedder_external_view_embedder.cc:441:11
#21 0x7ffff2a52644 in flutter::Rasterizer::DrawToSurfaceUnsafe(long, flutter::LayerTree&, float, std::_fl::optional<fml::TimePoint>) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/common/rasterizer.cc:793:32
#22 0x7ffff2a519eb in flutter::Rasterizer::DrawToSurfacesUnsafe(flutter::FrameTimingsRecorder&, std::_fl::vector<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>, std::_fl::allocator<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>>>) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/common/rasterizer.cc:658:32
#23 0x7ffff2a4f7c9 in flutter::Rasterizer::DrawToSurfaces(flutter::FrameTimingsRecorder&, std::_fl::vector<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>, std::_fl::allocator<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>>>) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/common/rasterizer.cc:587:9
#24 0x7ffff2a50a35 in flutter::Rasterizer::DoDraw(std::_fl::unique_ptr<flutter::FrameTimingsRecorder, std::_fl::default_delete<flutter::FrameTimingsRecorder>>, std::_fl::vector<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>, std::_fl::allocator<std::_fl::unique_ptr<flutter::LayerTreeTask, std::_fl::default_delete<flutter::LayerTreeTask>>>>) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/common/rasterizer.cc:491:7
#25 0x7ffff2a589ed in flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0::operator()(std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>) const /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/shell/common/rasterizer.cc:259:19
#26 0x7ffff2a58961 in decltype(std::declval<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0&>()(std::declval<std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>>())) std::_fl::__invoke[abi:v15000]<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0&, std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>>(flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0&, std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>&&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:403:23
#27 0x7ffff2a588fc in void std::_fl::__invoke_void_return_wrapper<void, true>::__call<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0&, std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>>(flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0&, std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>&&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/invoke.h:488:9
#28 0x7ffff2a588c4 in std::_fl::__function::__alloc_func<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0, std::_fl::allocator<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0>, void (std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>)>::operator()[abi:v15000](std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>&&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:185:16
#29 0x7ffff2a57c50 in std::_fl::__function::__func<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0, std::_fl::allocator<flutter::Rasterizer::Draw(std::_fl::shared_ptr<flutter::Pipeline<flutter::FrameItem>> const&)::$_0>, void (std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>)>::operator()(std::_fl::unique_ptr<flutter::FrameItem, std::_fl::default_delete<flutter::FrameItem>>&&) /nix/store/z4psshvfg8dvsnsn4jlyh3ib4f6nn0ch-flutter-engine-debug-unopt-c9b9d5780da342eb3f0f5e439a7db06f7d112575/out/host_debug_unopt/../../../../../build/flutter-engine-source-c9b9d5780da342eb3f0f5e439a7db06f7d112575-x86_64-linux-x86_64-linux/src/flutter/third_party/libcxx/include/__functional/function.h:359:12
SUMMARY: LeakSanitizer: 16 byte(s) leaked in 1 allocation(s).
```
</details>
### Flutter Doctor output
<details open><summary>Doctor output</summary>
```console
[ +319 ms] Unable to locate an Android SDK.
[ +61 ms] Local engine source at /nix/store/85wqywgs5q16zl34pnfkyaf1w9hgrq14-flutter-engine-c9b9d5780da342eb3f0f5e439a7db06f7d112575
[ +4 ms] ╔════════════════════════════════════════════════════════════════════════════╗
║ Welcome to Flutter! - https://flutter.dev ║
║ ║
║ The Flutter tool uses Google Analytics to anonymously report feature usage ║
║ statistics and basic crash reports. This data is used to help improve ║
║ Flutter tools over time. ║
║ ║
║ Flutter tool analytics are not sent on the very first run. To disable ║
║ reporting, type 'flutter config --no-analytics'. To display the current ║
║ setting, type 'flutter config'. If you opt out of analytics, an opt-out ║
║ event will be sent, and then no further information will be sent by the ║
║ Flutter tool. ║
║ ║
║ By downloading the Flutter SDK, you agree to the Google Terms of Service. ║
║ The Google Privacy Policy describes how data is handled in this service. ║
║ ║
║ Moreover, Flutter includes the Dart SDK, which may send usage metrics and ║
║ crash reports to Google. ║
║ ║
║ Read about data we send with crash reports: ║
║ https://flutter.dev/to/crash-reporting ║
║ ║
║ See Google's privacy policy: ║
║ https://policies.google.com/privacy ║
║ ║
║ To disable animations in this tool, use ║
║ 'flutter config --no-cli-animations'. ║
╚════════════════════════════════════════════════════════════════════════════╝
[ +55 ms] executing: [/nix/store/iqnsvd5gs7394zjbq7ll8ks7gzv8zbqz-flutter-wrapped-3.24.1-sdk-links/] git -c log.showSignature=false log -n 1 --pretty=format:%ar
[ +7 ms] Exit code 128 from: git -c log.showSignature=false log -n 1 --pretty=format:%ar
[ ] fatal: detected dubious ownership in repository at '/nix/store/iqnsvd5gs7394zjbq7ll8ks7gzv8zbqz-flutter-wrapped-3.24.1-sdk-links'
To add an exception for this directory, call:
git config --global --add safe.directory /nix/store/iqnsvd5gs7394zjbq7ll8ks7gzv8zbqz-flutter-wrapped-3.24.1-sdk-links
[ +68 ms] [✓] Flutter (Channel stable, 3.24.1, on NixOS 24.11 (Vicuna) 6.6.52, locale en_US.UTF-8)
[ ] • Flutter version 3.24.1 on channel stable at /nix/store/iqnsvd5gs7394zjbq7ll8ks7gzv8zbqz-flutter-wrapped-3.24.1-sdk-links
[ ] • Upstream repository https://github.com/flutter/flutter.git
[ ] • Framework revision nixpkgs000 (), 1970-01-01 00:00:00
[ ] • Engine revision c9b9d5780d
[ ] • Dart version 3.5.1
[ ] • DevTools version 2.37.0
[ +2 ms] [✗] Android toolchain - develop for Android devices
[ ] ✗ Unable to locate Android SDK.
[ ] Install Android Studio from: https://developer.android.com/studio/index.html
[ ] On first launch it will assist you in installing the Android SDK components.
[ ] (or visit https://flutter.dev/to/linux-android-setup for detailed instructions).
[ ] If the Android SDK has been installed to a custom location, please use
[ ] `flutter config --android-sdk` to update to that location.
[ ] [✗] Chrome - develop for the web (Cannot find Chrome executable at google-chrome)
[ ] ! Cannot find Chrome. Try setting CHROME_EXECUTABLE to a Chrome executable.
[ +493 ms] [✗] Linux toolchain - develop for Linux desktop
[ ] ✗ clang++ is required for Linux development.
[ ] It is likely available from your distribution (e.g.: apt install clang), or can be downloaded from https://releases.llvm.org/
[ ] ✗ CMake is required for Linux development.
[ ] It is likely available from your distribution (e.g.: apt install cmake), or can be downloaded from https://cmake.org/download/
[ ] ✗ ninja is required for Linux development.
[ ] It is likely available from your distribution (e.g.: apt install ninja-build), or can be downloaded from https://github.com/ninja-build/ninja/releases
[ ] • pkg-config version 0.29.2
[ ] ✗ GTK 3.0 development libraries are required for Linux development.
[ ] They are likely available from your distribution (e.g.: apt install libgtk-3-dev)
[ +1 ms] [!] Android Studio (not installed)
[ ] • Android Studio not found; download from https://developer.android.com/studio/index.html
[ ] (or visit https://flutter.dev/to/linux-android-setup for detailed instructions).
[ ] [✓] Connected device (1 available)
[ ] • Linux (desktop) • linux • linux-x64 • NixOS 24.11 (Vicuna) 6.6.52
[ ] [✓] Network resources
[ ] • All expected network resources are available.
[ ] ! Doctor found issues in 4 categories.
[ +15 ms] "flutter doctor" took 636ms.
[ +3 ms] The Flutter CLI developer tool uses Google Analytics to report usage and diagnostic
data along with package dependencies, and crash reporting to send basic crash
reports. This data is used to help improve the Dart platform, Flutter framework,
and related tools.
Telemetry is not sent on the very first run. To disable reporting of telemetry,
run this terminal command:
flutter --disable-analytics
If you opt out of telemetry, an opt-out event will be sent, and then no further
information will be sent. This data is collected in accordance with the Google
Privacy Policy (https://policies.google.com/privacy).
[ +15 ms] ensureAnalyticsSent: 0ms
[ ] Running 1 shutdown hook
[ +1 ms] Shutdown hooks complete
[ +2 ms] exiting with code 0
```
</details>
| engine,e: embedder,perf: memory,P2,team-engine,triaged-engine | low | Critical |
2,549,149,437 | ollama | Adjust templates for FIM models to acknowledge existence of suffix | ### What is the issue?
CodeGemma (for example, it's not the only one) supports both FIM and chat. Ollama uses the FIM template for codegemma:2b and the chat template for codegemma:7b. This feels like the right default decision, but in cases where a suffix is provided, it can be confidently assumed that a FIM format is desired.
The solution to this would be a prompt template that is wrapped in an "if suffix", something like this:
```
{{- if .Suffix }}<|fim_prefix|>{{ .Prompt }}<|fim_suffix|>{{ .Suffix }}<|fim_middle|>
{{- else }}<start_of_turn>user
{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn>
<start_of_turn>model
{{ .Response }}<end_of_turn>
{{- end }}
```
One caveat I can see is it would make the prompt template slightly less readable for users browsing the Ollama template library.
### OS
macOS
### GPU
Apple
### CPU
Apple
### Ollama version
0.3.11 | bug | low | Minor |
2,549,162,056 | godot | `RemoteTransform3D` applies incorrect rotation when `Update Scale` is disabled | ### Tested versions
Reproducible in 4.3.stable, 4.4.dev2
### System information
Godot v4.3.stable - Windows 10.0.22631 - GLES3 (Compatibility) - NVIDIA GeForce GTX 1660 SUPER (NVIDIA; 32.0.15.6109) - Intel(R) Core(TM) i7-10700F CPU @ 2.90GHz (16 Threads)
### Issue description
`RemoteTransform3D` applies incorrect rotation to the remote object when `Update Scale` is disabled and the remote object is under a rotated parent. When `Update Scale` is enabled, or when the remote object has a parent with neutral transform or no parent at all, everything works as expected.
### Steps to reproduce
- Open `test.tscn` in attached project
- Rotate the `remote_transform_3d` object around the X or Z axis
- Observe that the green cube does not rotate correctly
### Minimal reproduction project (MRP)
[bug-report.zip](https://github.com/user-attachments/files/17139556/bug-report.zip)
| bug,topic:editor,topic:3d | low | Critical |
2,549,165,822 | deno | node:tls: SecureContext.context.addCACert is missing | Version: Deno 2.0.0-rc.5+c232ecc
There is a stable but undocumented `node:tls` API `SecureContext.context.addCACert()` (https://github.com/nodejs/node/issues/27079), which is not polyfilled.
Could we polyfill it?
| bug,node compat | low | Minor |
2,549,232,130 | pytorch | false INTERNAL ASSERT FAILED in `torch._add_batch_dim` | ### 🐛 Describe the bug
Under specific inputs, torch._add_batch_dim throws a false INTERNAL ASSERT FAILED, accompanied by the message: "please report a bug to PyTorch."
minimal example:
```
import torch
self = torch.full((1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,), 3.5e+35, dtype=torch.float64, requires_grad=False)
torch._add_batch_dim(self,63,0)
```
output:
```
RuntimeError Traceback (most recent call last)
[<ipython-input-2-f7a1e31e4883>](https://localhost:8080/#) in <cell line: 3>()
1 import torch
2 self = torch.full((1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1, 1, 1, 1, 1,1, 1, 1, 1, 1, 1,...
----> 3 torch._add_batch_dim(self,63,0)
RuntimeError: false INTERNAL ASSERT FAILED at "../aten/src/ATen/LegacyBatchedTensorImpl.cpp":68, please report a bug to PyTorch.
```
### Versions
PyTorch version: 2.4.0+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04 LTS (x86_64)
GCC version: (Ubuntu 11.2.0-19ubuntu1) 11.2.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35
Python version: 3.9.13 (main, Oct 13 2022, 21:15:33) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-119-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: Could not collect
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA GeForce RTX 4090
GPU 1: NVIDIA GeForce RTX 4090
Nvidia driver version: 535.183.01
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: GenuineIntel
Model name: INTEL(R) XEON(R) GOLD 6530
CPU family: 6
Model: 207
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 2
Stepping: 2
CPU max MHz: 4000.0000
CPU min MHz: 800.0000
BogoMIPS: 4200.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 3 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 128 MiB (64 instances)
L3 cache: 320 MiB (2 instances)
NUMA node(s): 4
NUMA node0 CPU(s): 0-15,64-79
NUMA node1 CPU(s): 16-31,80-95
NUMA node2 CPU(s): 32-47,96-111
NUMA node3 CPU(s): 48-63,112-127
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.0.1
[pip3] torch==2.4.0
[pip3] torchaudio==2.4.0
[pip3] torchvision==0.19.0
[pip3] triton==3.0.0
[conda] numpy 2.0.1 pypi_0 pypi
[conda] torch 2.4.0 pypi_0 pypi
[conda] torchaudio 2.4.0 pypi_0 pypi
[conda] torchvision 0.19.0 pypi_0 pypi
[conda] triton 3.0.0 pypi_0 pypi | triaged,module: edge cases | low | Critical |
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