sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: pytorch
Issue: DISABLED test_pt2_traceable_aot_eager_cpu_float8_e5m2 (__main__.TestFloat8DtypeCPUOnlyCPU)
Labels: oncall: quantization,module: flaky-tests,skipped

Platforms: asan, linux, mac, macos



This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_pt2_traceable_aot_eager_cpu_float8_e5m2&suite=TestFloat8DtypeCPUOnlyCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35681075767).

Over the past 3 hours, it has been determined flaky in 5 workflow(s) with 10 failures and 5 successes.

**Debugging instructions (after clicking on the recent samples link):**
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:
1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for `test_pt2_traceable_aot_eager_cpu_float8_e5m2`
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.


Test file path: `test_quantization.py`

cc @jerryzh168 @jianyuh @raghuramank100 @jamesr66a @vkuzo @jgong5 @Xia-Weiwen @leslie-fang-intel @msaroufim @clee2000 @wdvr
Repository: pytorch
Issue: DISABLED test_compile_forward_select_cuda_float32 (__main__.TestNestedTensorOpInfoCUDA)
Labels: triaged,module: flaky-tests,module: nestedtensor,skipped

Platforms: linux, rocm, slow



This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_compile_forward_select_cuda_float32&suite=TestNestedTensorOpInfoCUDA&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35686125481).

Over the past 3 hours, it has been determined flaky in 20 workflow(s) with 0 failures and 20 successes.

**Debugging instructions (after clicking on the recent samples link):**
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:
1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for `test_compile_forward_select_cuda_float32`
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.


Test file path: `test_nestedtensor.py`

cc @clee2000 @wdvr @cpuhrsch @jbschlosser @bhosmer @drisspg @soulitzer @davidberard98 @YuqingJ
Repository: pytorch
Issue: DISABLED test_compile_forward_clone_cpu_float32 (__main__.TestNestedTensorOpInfoCPU)
Labels: triaged,module: flaky-tests,module: nestedtensor,skipped

Platforms: asan, linux, mac, macos, win, windows

This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_compile_forward_clone_cpu_float32&suite=TestNestedTensorOpInfoCPU&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35684033086).

Over the past 3 hours, it has been determined flaky in 43 workflow(s) with 0 failures and 43 successes.

**Debugging instructions (after clicking on the recent samples link):**
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:
1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for `test_compile_forward_clone_cpu_float32`
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.


Test file path: `test_nestedtensor.py`

cc @clee2000 @wdvr @cpuhrsch @jbschlosser @bhosmer @drisspg @soulitzer @davidberard98 @YuqingJ
Repository: flutter
Issue: [Proposal] Add official resource hash and js sharding for Flutter web, and reduce application size
Labels: c: new feature,a: size,platform-web,c: proposal,team-web

### Use case

Flutter web products are generally larger than native web products, which results in a slow opening speed of the website. Although CDN acceleration is enabled, it is still not ideal.

### Proposal


Add official resource hash and js sharding for Flutter web, and reduce application size
Repository: deno
Issue: Wrong path when using HTTP proxy in Node API `http`
Labels: node compat

Version: Deno 2.1.5

TLDR: when `http.request`'s opinions include proxy settings and `options.path` is a full URL (e.g., `http://httpbin.org/200`), the website that proxy server accesses should be `http://httpbin.org/200`, but in Deno it is `http://httpbin.org/http://httpbin.org/200`.

POC:
```js
import axios from "axios";
const instance = axios.create({
  baseURL: "http://httpbin.org/",
  proxy: {
    protocol: "http",
    host: "127.0.0.1",
    port: 8892,
  },
});
try {
  const resp = await instance.get("/get");
  console.log("success", resp.config);
} catch (e) {
  console.log(e);
}
```

For convenience, I use Axios as demo, and related code is [here](https://github.com/axios/axios/blob/bad6d8b97b52c0c15311c92dd596fc0bff122651/lib/adapters/http.js#L464C11-L464C28). When I add a patch `options.path = new URL(options.path).pathname;`, it becomes correct.
This demo requires a http proxy running at port 8892 (such as Fiddler or mitmproxy).

In Node.JS, it can get `http://httpbin.org/get` correctly. In Deno, it gets a 404, while Fiddler shows it is requesting `http://httpbin.org/http://httpbin.org/get`
Repository: electron
Issue: When using BrowserWindow to load a URL in Electron 33.2.1 and performing video encoding/decoding with WebCodec on the page, I encountered an issue where the GPU memory usage is unstable. The issue manifests differently on different GPU configurations:
Labels: platform/windows,bug :beetle:,blocked/need-repro,33-x-y

### 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

33.2.1

### What operating system(s) are you using?

Windows

### Operating System Version

window11

### What arch are you using?

x64

### Last Known Working Electron version

_No response_

### Expected Behavior

When using BrowserWindow to load a URL in Electron 33.2.1 and performing video encoding/decoding with WebCodec on the page, I encountered an issue where the GPU memory usage is unstable. The issue manifests differently on different GPU configurations:

Intel(R) Iris(R) Xe Graphics:
In Windows Task Manager, the GPU memory usage fluctuates significantly and eventually fills up. This results in video stuttering, black screens, and other issues on the page.

![Image](https://github.com/user-attachments/assets/2eddd457-9755-4729-ab99-e757dd366ad5)

NVIDIA GeForce GTX 1050 Ti:
In Windows Task Manager, the GPU memory usage remains stable, with minimal fluctuations. The video plays smoothly on the page without stuttering or black screens.
I have already added some parameters when starting Electron, but there has been no noticeable improvement.

![Image](https://github.com/user-attachments/assets/f6e38134-f480-4a22-a33a-38986f4996fe)

```
app.commandLine.appendSwitch('use-gl', 'angle');
app.commandLine.appendSwitch('use-angle', 'gl-egl');
app.commandLine.appendSwitch('enable-features', 'VaapiVideoDecoder');
app.commandLine.appendSwitch('enable-features', 'PlatformAudioEncoder');



```

### Actual Behavior

Is it possible to add configuration or startup parameters that can stabilize the GPU memory usage on Intel(R) Iris(R) Xe Graphics, similar to how it behaves on the NVIDIA GeForce GTX 1050 Ti, to prevent video playback issues such as stuttering and black screens?

### Testcase Gist URL

_No response_

### Additional Information

_No response_
Repository: vscode
Issue: Need case sensitive instance window switching
Labels: feature-request,remote,ssh

<!-- ⚠️⚠️ Do Not Delete This! bug_report_template ⚠️⚠️ -->
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<!-- 💡 Instead of creating your report here, use 'Report Issue' from the 'Help' menu in VS Code to pre-fill useful information. -->
<!-- 🔧 Launch with `code --disable-extensions` to check. -->
Does this issue occur when all extensions are disabled?: Yes

<!-- 🪓 If you answered No above, use 'Help: Start Extension Bisect' from Command Palette to try to identify the cause. -->
<!-- 📣 Issues caused by an extension need to be reported directly to the extension publisher. The 'Help > Report Issue' dialog can assist with this. -->
- VS Code Version: 1.96.3
- OS Version: macOS 15.2

Steps to Reproduce:

1. Remote SSH to a linux server which supports case-sensitive file paths
2. Create and open a remote folder named `~/Workspaces/Project1`
3. Create and open a remote folder named `~/Workspaces/project1`, then VSCode switch to `Project1` instead of opening a new window for `project1`. In this case, I think it should open a new window for `project1` rather than regarding it as the same with `Project1`.

Not sure if this happens locally on a linux system.
Repository: pytorch
Issue: [RFC] Add CPP INT8 SDPA Template for Inductor CPU
Labels: triaged,oncall: pt2,module: inductor

### 🚀 The feature, motivation and pitch

## Motivation
PyTorch Template is now a common method to implement the target kernel with high flexibility. We are considering to implement the Int8 SDPA CPU kernel by using template in PyTorch. With the method, the kernel code is generated from the corresponding template during compiling, and no explicit new OP needs to be added. In the future, by taking advantage of the template, it would also be more flexible to tune the optimized kernel with different parallel strategies or block sizes through benchmarking. This RFC proposes the approaches to implement the template-based method.

## Approaches
We propose a template-based method to implement the Int8 SDPA CPU kernel. Here are the design for the main components.

### Pattern Match
During the post grad fusion pass, we register a lowering pattern for Int8 SDPA. If the corresponding pattern hits, it can be replaced by `int8_sdpa_lowering` lowering function, which then further lowerings into the template.

### CPP INT8 SDPA Template
We create a CPP Int8 SDPA template `CppInt8SdpaTemplate` by inheriting the CPP flex attention template `CppFlexAttentionTemplate`. We tend to reuse the common parts in flex attention template as much as possible. Note that the CPP Int8 SDPA template does not need the modification-related inputs or member functions, as Int8 SDPA only needs the default one, simply adding the attention mask, for now.

#### Inputs
- Besides the SDPA typical inputs like query/key/value, extra zero points and scales need to be added for the quantization case.
- The `score_mod` and `mask_mod` are not needed.

#### Member functions
- The functions `add_choices` and `render` are overridden to support the int8 specific case.
- A new function `select_strategy` is added to generate the kernel with various parallel loop strategies or block sizes, according to the heuristic method given device info and input shapes.
- The modification-related functions like `apply_score_mod` are not needed.

#### Template codes
- Reuses the common codes in flex attention one.
- Adds more specific functions for data type int8, such as compensation functions.

### Alternatives

_No response_

### Additional context

_No response_

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov
Repository: ant-design
Issue: tabs组件当type不为默认值line时，拖拽移动卡顿
Labels: unconfirmed

### Reproduction link

[https://ant-design.antgroup.com/components/tabs-cn#tabs-demo-custom-tab-bar-node](https://ant-design.antgroup.com/components/tabs-cn#tabs-demo-custom-tab-bar-node)

### Steps to reproduce

https://ant-design.antgroup.com/components/tabs-cn#tabs-demo-custom-tab-bar-node 官方拖拽demo，只需要增加type不为line，即可复现

### What is expected?

拖拽没有延迟感

### What is actually happening?

拖拽没有延迟感

| Environment | Info |
| --- | --- |
| antd | 5.23.1 |
| React | react |
| System | mac |
| Browser | 谷歌 |

<!-- generated by ant-design-issue-helper. DO NOT REMOVE -->
Repository: ui
Issue: [feat]: Date Picker not have flexible like HTML Date Picker
Labels: area: request

### Feature description

They are unable to select different years or months, which is complex; this feature must be added.

### Affected component/components

Date Picker

### Additional Context

N/A

### Before submitting

- [X] I've made research efforts and searched the documentation
- [X] I've searched for existing issues and PRs
Repository: deno
Issue: Bug(deno): astro build error - Buffer is not defined
Labels: needs investigation,node compat

Version: Deno 2.1.4

---

I'm using the **deno** runtime with starlight, and _after upgrading_ to **astro 5** I've started getting build errors when using **starlight-openapi**.

```
16:26:50 ▶ starlight-openapi/components/Route.astro
16:26:50   ├─ /api/pokeapi/index.htmlBuffer is not defined
```



### To Reproduce

1. clone https://github.com/Indyandie/lucero/tree/build-bug-2025-01-03
1. run `deno install --allow-scripts`
1. run `deno task build` 

### System Info

- NixOS
- deno 2.1.4
- astro 5.1.7

Related: https://github.com/HiDeoo/starlight-openapi/issues/61
Repository: react
Issue: Issue while migrating from 18.2.0 to 19.0.0
Labels: React 19



I am migrating React 18.2.0 to 19.0.0. I first updated it to 18.3.1 as it was recommended and faced no issues on UI so far. 
I updated all the required dependencies and installed react and react-dom 19.0.0.

but when I am trying to proceed next with migration recipe. I am facing below error.
My proxies are properly set as I am able to install all the other packages from NPM.

``$ npx codemod@latest react/19/migration-recipe
✖ Fetching "react/19/migration-recipe"...

Error while fetching codemod react/19/migration-recipe: AxiosError: Request failed with status code 407``

How can I fix this ?
Repository: pytorch
Issue: DISABLED test_aoti_eager_support_out_dynamic_shapes_cuda (__main__.DynamicShapesCodegenGPUTests)
Labels: module: rocm,triaged,module: flaky-tests,skipped,oncall: pt2,module: inductor

Platforms: rocm

This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_aoti_eager_support_out_dynamic_shapes_cuda&suite=DynamicShapesCodegenGPUTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/35694427297).

Over the past 3 hours, it has been determined flaky in 7 workflow(s) with 7 failures and 7 successes.

**Debugging instructions (after clicking on the recent samples link):**
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:
1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for `test_aoti_eager_support_out_dynamic_shapes_cuda`
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.



<details><summary>Sample error message</summary>

```
Traceback (most recent call last):
  File "/var/lib/jenkins/pytorch/test/inductor/test_torchinductor.py", line 975, in test_aoti_eager_support_out
    res_tensor = torch.clamp(
RuntimeError: create_func_( &container_handle_, num_models, device_str.c_str(), cubin_dir.empty() ? nullptr : cubin_dir.c_str()) API call failed at /var/lib/jenkins/workspace/torch/csrc/inductor/aoti_runner/model_container_runner.cpp, line 81

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_ROCM=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_aoti_eager_support_out_dynamic_shapes_cuda

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
```

</details>


Test file path: `inductor/test_torchinductor_codegen_dynamic_shapes.py`

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @clee2000 @wdvr @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov
Repository: PowerToys
Issue: 未能初始化插件：Everything
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

0.86.0

### Installation method

PowerToys auto-update

### Running as admin

Yes

### Area(s) with issue?

PowerToys Run

### Steps to reproduce

[PowerToysReport_2025-01-16-14-24-13.zip](https://github.com/user-attachments/files/18434511/PowerToysReport_2025-01-16-14-24-13.zip)

### ✔️ Expected Behavior

_No response_

### ❌ Actual Behavior

_No response_

### Other Software

_No response_
Repository: flutter
Issue: onPopInvokedWithResult is not working as expected.
Labels: waiting for customer response,in triage

### Steps to reproduce

onPopInvokedWithResult behavior is different in android and IOS. 
after closing dilaog its not working like android 

### Expected results

unxpactedly pop is perform in ios after closing dilaog. flutter 3.24.0

### Actual results

onPopInvokedWithResult should work same as android 

### Code sample

<details open><summary>Code sample</summary>

```dart
[Paste your code here]
```

</details>


### Screenshots or Video

<details open>
<summary>Screenshots / Video demonstration</summary>

[Upload media here]

</details>


### Logs

<details open><summary>Logs</summary>

```console
[Paste your logs here]
```

</details>


### Flutter Doctor output

<details open><summary>Doctor output</summary>

```console
[Paste your output here]
```

</details>
Repository: vscode
Issue: Missing padding to the last element in the installed extensions
Labels: polish,extensions

Missing padding to the last element in the installed extensions
see the highlighted item
scroll is at the bottom but the settings and trust icons are getting a slightly overlapped over the border of the element and looks like last element missed the padding
![Image](https://github.com/user-attachments/assets/fd50ed7b-0020-4d40-8597-eb867c85a220)


//edit

I think the item is getting overlapped over the 'Recommended' submenu

![Image](https://github.com/user-attachments/assets/eff21dd4-0701-44d5-921f-1b83ef397282)

![Image](https://github.com/user-attachments/assets/c9ff1410-25ed-40e8-94b3-b9f21f4a95c4)

cc @sandy081 

Version: 1.96.3 (user setup)
Commit: 91fbdddc47bc9c09064bf7acf133d22631cbf083
Date: 2025-01-09T18:14:09.060Z
Electron: 32.2.6
ElectronBuildId: 10629634
Chromium: 128.0.6613.186
Node.js: 20.18.1
V8: 12.8.374.38-electron.0
OS: Windows_NT x64 10.0.22621
Repository: PowerToys
Issue: Powertoys setting did not show after installation
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

v0.87.1

### Installation method

GitHub

### Running as admin

Yes

### Area(s) with issue?

General

### Steps to reproduce

I tried installed and reinstalled Powertoys by Github and Store, also running it as administrator. The icon shows on the icon tray but I can only hover on it to see its version but left mouse click, double click, drag or right mouse click did not work. I also tried to restart my pc but it did not work either. Another issue is when I tried to open the Powertoys app via start menu but nothing happened and my keyboard input become laggy in all apps (delay 3s) for about 1 minute.

### ✔️ Expected Behavior

The Powertoys app show and I can modify its setting

### ❌ Actual Behavior

Nothing has shown up and it made my keyboard input laggy

### Other Software

_No response_
Repository: tensorflow
Issue: tf.config.LogicalDeviceConfiguration() not able to set the memory limit but tf.config.experimental.VirtualDeviceConfiguration() is able to
Labels: stat:awaiting response,type:bug,2.17

### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 22.04.4 LTS

### Mobile device

_No response_

### Python version

3.10.12

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

12.2

### GPU model and memory

RTX A5000 24Gb

### Current behavior?

I was trying to set the memory limit of 10Gb on the virtual device using tf.config.LogicalDeviceConfiguration(), but when I trained the model it was taking way more than 10Gb of memory. Eventually I was able to set the memory limit using tf.config.experimental.VirtualDeviceConfiguration() but I'm not sure why

### Standalone code to reproduce the issue

```shell
# this was not able to set the memory limit
gpus = tf.config.list_physical_devices('GPU')
if gpus:
    try:
        tf.config.set_visible_devices(gpus[0], 'GPU')
        tf.config.set_logical_device_configuration(gpus[0],
        [tf.config.LogicalDeviceConfiguration(memory_limit=10*1024)])
        logical_gpus = tf.config.list_logical_devices('GPU')
    except RuntimeError as e:
        print(e) 

# this was able to set the memory limit
gpus = tf.config.list_physical_devices('GPU')
if gpus:
    try:
        tf.config.experimental.set_virtual_device_configuration(
            gpus[0],
            [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=10*1024)]
        )
    except RuntimeError as e:
        print(e)
```

### Relevant log output

```shell

```
Repository: PowerToys
Issue: Mouse Without Borders no longer works since a Windows update
Labels: Issue-Bug,Needs-Triage

### Microsoft PowerToys version

0.87.1

### Installation method

Microsoft Store

### Running as admin

No

### Area(s) with issue?

Mouse Without Borders

### Steps to reproduce

After installing the updates below, the "Mouse Without Borders" function can no longer establish the connection between two computers. I made a new key without success.

Windows 11 entreprise 23H2 :
2025-01 Mise à jour cumulative pour Windows 11 Version 23H2 pour les systèmes x64 (KB5050021)
2025-01 Mise à jour cumulative pour .NET Framework 3.5 pour et 4.8.1 pour Windows 11, version 23H2 pour les systèmes x64 (KB5049624)
Mise à jour de la configuration de Windows (KB5035942)

### ✔️ Expected Behavior

_No response_

### ❌ Actual Behavior

_No response_

### Other Software

_No response_
Repository: flutter
Issue: When running the official Flutter demo on Windows, no components are displayed. However, it can be displayed normally on Chrome.
Labels: waiting for customer response,in triage

### Steps to reproduce

<!-- Uploading "image.png"... -->

### Actual results

 running the official Flutter demo on Windows, no components are displayed. However, it can be displayed normally on Chrome.

### Logs

<details open>
<summary>Logs</summary>

```console

<!-- Paste your logs here -->

```

</details>


### Flutter Doctor output

<details open>
<summary>Doctor output</summary>

```console

<!-- Paste your output here -->

```

</details>