sharjeelyunus/github-issues-dataset huggingface dataset:
Repository: godot
Issue: GPUParticles3D collide with their gizmo icon, which can make them appear to not move at all if using the Point emission mode
Labels: bug,topic:editor,regression,topic:3d,topic:particles

### Tested versions

- Reproducible in: 4.4.beta1, 4.4.beta 7b1ed520b
- Not reproducible in: 4.3.stable

### System information

Godot v4.4.beta (7b1ed520b) - Fedora Linux 41 (KDE Plasma) on X11 - X11 display driver, Multi-window, 1 monitor - Vulkan (Forward+) - dedicated NVIDIA GeForce RTX 4090 (nvidia; 565.77) - 13th Gen Intel(R) Core(TM) i9-13900K (32 threads)

### Issue description

GPUParticles3D collide with their gizmo icon, which can make them appear to not move at all if using the Point emission mode.

I bisected the regression to https://github.com/godotengine/godot/pull/91174. This likely occurs because making the gizmo material use alpha scissor means it's now taken into account by the heightfield collision generator. We can probably fix this by changing the cull mask of the GPUParticlesCollisionHeightField3D to exclude the editor-only gizmo layers (`Node3DEditorViewport::GIZMO_EDIT_LAYER`).

This is further proven by the collision's shape matching the GPUParticles3D gizmo icon. You can see this by using a sphere emission shape and greatly increasing the particle count:

![Image](https://github.com/user-attachments/assets/c769a37c-a58b-408f-8c55-623bfe8e9c9e)

Relevant code:

https://github.com/godotengine/godot/blob/7b1ed520bdcca21d36e25e2094802b9b33dae2c6/editor/plugins/node_3d_editor_gizmos.cpp#L831-L837

https://github.com/godotengine/godot/blob/7b1ed520bdcca21d36e25e2094802b9b33dae2c6/scene/3d/gpu_particles_collision_3d.cpp

### Steps to reproduce

- Set up a scene with various meshes and particles that have collision enabled.
- Add a GPUParticlesCollisionHeightField3D node.
- Save the scene and use **Scene > Reload Saved Scene**.
- Notice how particles no longer move due to colliding with their gizmo.

### Minimal reproduction project (MRP)

[test_particle_collision_gizmo.zip](https://github.com/user-attachments/files/18464280/test_particle_collision_gizmo.zip)
Repository: tensorflow
Issue: Abort in `tensorflow.keras.backend.conv2d`
Labels: stat:awaiting response,type:bug,comp:apis,2.17

### Issue type

Bug

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

No

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.keras.backend.conv2d` triggers crash.
The crash occurs in the  operator Conv2D

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

x = np.array([1.5841993e+38, 4.7480855e+36, -1.8916006e+38], dtype=np.float32)
kernel = np.ones((13, 8, 5, 14), dtype=np.float32)
tensorflow.keras.backend.conv2d(x=x, kernel=kernel)
```

### Relevant log output

```shell
2025-01-18 12:02:15.375499: F ./tensorflow/core/util/tensor_format.h:428] Check failed: index >= 0 && index < num_total_dims Invalid index from the dimension: 3, 0, C
Aborted (core dumped)
```
Repository: tensorflow
Issue: Aborted (core dumped) in `tensorflow.nn.max_pool1d`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.nn.max_pool1d` triggers crash.
The crash occurs in the  operator MaxPool

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = np.ones((17,7,14), dtype=np.float32)
ksize = [3134755050008138495]
strides = [48732]
padding = 'SAME'
tensorflow.nn.max_pool1d(input=input, ksize=ksize, strides=strides, padding=padding)
```

### Relevant log output

```shell
2025-01-18 12:09:37.053592: F tensorflow/core/common_runtime/mkl_layout_pass.cc:1609] Non-OK-status: GetNodeAttr(n->def(), "ksize", &ksize) status: INVALID_ARGUMENT: Attr ksize has value 3134755050008138495 out of range for an int32
Aborted (core dumped)
```
Repository: tensorflow
Issue: Floating point exception in `tensorflow.nn.max_pool1d`
Labels: stat:awaiting response,type:bug,comp:apis,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.nn.max_pool1d` triggers crash.
The crash occurs in the  operator MaxPool

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = np.ones((16,19,18), dtype=np.float32)
ksize = [58486]
strides = [49657]
padding = 'VALID'
tensorflow.nn.max_pool1d(input=input, ksize=ksize, strides=strides, padding=padding)
```

### Relevant log output

```shell
Floating point exception (core dumped)
```
Repository: tensorflow
Issue: Aborted in `tensorflow.nn.max_pool3d`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.nn.max_pool3d` triggers crash.
The crash occurs in the  operator MaxPool3D

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = np.ones((20, 19, 20, 5, 0), dtype=np.float32)
ksize = [3505357736]
strides = [2230364274603370470] 
padding = 'SAME'
tensorflow.nn.max_pool3d(input=input, ksize=ksize, strides=strides, padding=padding)
```

### Relevant log output

```shell
2025-01-18 12:15:49.067137: F tensorflow/core/common_runtime/mkl_layout_pass.cc:1609] Non-OK-status: GetNodeAttr(n->def(), "ksize", &ksize) status: INVALID_ARGUMENT: Attr ksize has value 3505357736 out of range for an int32
Aborted (core dumped)
```
Repository: tensorflow
Issue: Aborted in `tensorflow.raw_ops.RecordInput`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.raw_ops.RecordInput` triggers crash.
The crash occurs in the  operator RecordInput

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

file_pattern = '@\x0chnFvGe#83FxIIw.\';-$`E?8Y<>-C2p>\x0bl\\B*;z;]a4lrH{gWK}rAY{;T]2k&j-EB)pQu{JLy1K{Q|;g:>CEg<hA"^((UXJ?fMf\'NsZ@KK\rjp{mfE \tYx-3H3;5z\t(%g>\r<!G&_jqx-@o\rz"1 NS"eiM/ 6X/r+/\rj8h>6k{-B]P\n>[\'s0FOZ\x0b[aV\x0c1q\\!{D~2ZIBe{8v9;,oG=Hjsz&~.$T\x0b[_%/ 2;E:Hy8H\tx|dUPg2;[c_\'(>0z-v[Yob\n\x0c;aKX*F.h E@>\x0bK| zGnevJS7G=N_{c}\x0cS4p\']#1`T?FAep'
file_random_seed = 0
batch_size =  -8494458287779632258
tensorflow.raw_ops.RecordInput(file_pattern=file_pattern, file_random_seed=file_random_seed, batch_size=batch_size)
```

### Relevant log output

```shell
2025-01-18 12:21:05.765578: F tensorflow/core/framework/tensor_shape.cc:201] Non-OK-status: InitDims(dim_sizes) status: INVALID_ARGUMENT: Expected shape dimensions to be non-negative, got -8494458287779632258
Aborted (core dumped)
```
Repository: tensorflow
Issue: Aborted in `tensorflow.compat.v1.nn.depthwise_conv2d_native`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.compat.v1.nn.depthwise_conv2d_native` triggers crash.
The crash occurs in the  operator DepthwiseConv2DNative

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = -18261.482131447112
strides = [13762484222233278712, 17895496137899471100]
padding = 'VALID'
dilations = [11529923499597944069, 6104546329631715214, 16719022861480294065, 15641088296656225516, 5831796171324899039, 2019887057379389965, 6603155403475823832, 128243198633280011, 1962111378253501566, 12787126510677041415, 10754291262680183180]
filter = np.array([[ 36832. ,  -8776. ,    255.2, -31200. ,  -6408. , -12656. , -31696. , -65024. , -50688. ]], dtype=np.float16)
tensorflow.compat.v1.nn.depthwise_conv2d_native(input=input, filter=filter, strides=strides, padding=padding, dilations=dilations)
```

### Relevant log output

```shell
2025-01-18 12:25:34.220155: F tensorflow/core/common_runtime/mkl_layout_pass.cc:2755] Non-OK-status: GetNodeAttr(orig_node->def(), "dilations", &dilations) status: INVALID_ARGUMENT: Attr dilations has value 6104546329631715214 out of range for an int32
Aborted (core dumped)
```
Repository: electron
Issue: Mouse events in unfocused window
Labels: platform/macOS,bug :beetle:,has-repro-repo,34-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

34.0.0

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

macOS

### Operating System Version

15.2

### What arch are you using?

arm64 (including Apple Silicon)

### Last Known Working Electron version

_No response_

### Expected Behavior

`mouseleave` `mouseout` The timing of these should be the same whether the window has focus or not.

### Actual Behavior

When the mouse cursor moves over or off a focused window, it works normally.

However, when you move the mouse cursor over an unfocused window, `mouseleave` and `mouseout` occur immediately after `mouseenter` and `mouseover`. And when you move the mouse cursor off, `mouseleave` and `mouseout` do not occur.

My environment:
- Electron v34.0.0
- macOS 15.2 arm64


### Testcase Gist URL

_No response_

### Additional Information

I created a minimal application to recreate this.
I also created a video of the reenactment.
https://github.com/sdr0x07b6/electron-mouse-events-test

https://github.com/user-attachments/assets/bc13d84f-edb0-4bdc-9a05-c7200edfb531
Repository: tensorflow
Issue: Aborted in `tensorflow.raw_ops.ScatterNdNonAliasingAdd`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.raw_ops.ScatterNdNonAliasingAdd` triggers crash.
The crash occurs in the  operator ScatterNdNonAliasingAdd

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = np.array([False,  True,  True, False,  True, False,  True, False, False,
     False, False,  True,  True, False, False,  True,  True])
indices = 1547981256
updates = np.array([ True, False,  True, False,  True])
tensorflow.raw_ops.ScatterNdNonAliasingAdd(input=input, indices=indices, updates=updates)
```

### Relevant log output

```shell
2025-01-18 12:28:50.452498: F ./tensorflow/core/framework/tensor.h:847] Check failed: new_num_elements == NumElements() (1 vs. 5)
Aborted (core dumped)
```
Repository: tensorflow
Issue: Aborted in `tensorflow.compat.v1.nn.conv2d_backprop_filter`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.compat.v1.nn.conv2d_backprop_filter` triggers crash.
The crash occurs in the  operator Conv2DBackpropFilter

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

input = np.array([1.2807603e+38], dtype=np.float32)
filter_sizes = np.ones((20, 6, 5, 3), dtype=np.uint16)
strides = [4538426903074820908]
padding = 'VALID'
out_backprop = np.ones((19, 5, 11, 4), dtype=np.float32)
tensorflow.compat.v1.nn.conv2d_backprop_filter(input=input, filter_sizes=filter_sizes, out_backprop=out_backprop, strides=strides, padding=padding)
```

### Relevant log output

```shell
2025-01-18 12:34:39.686592: F tensorflow/core/common_runtime/mkl_layout_pass.cc:2754] Non-OK-status: GetNodeAttr(orig_node->def(), "strides", &strides) status: INVALID_ARGUMENT: Attr strides has value 4538426903074820908 out of range for an int32
Aborted (core dumped)
```
Repository: storybook
Issue: [Bug]: Next.js-Vite fails in new Next.js project
Labels: bug,dependencies,has workaround,nextjs,sev:S2

### Describe the bug

#### What I did
- `pnpx create next-app`
- `pnpx storybook@latest init`
- manually replace `@storybook/nextjs` with `@storybook/experimental-nextjs-vite`

![Image](https://github.com/user-attachments/assets/b562bd45-ea01-406b-add8-37740d13968a)

#### Workaround
- Manually install `styled-jsx`


### Reproduction link

-

### Reproduction steps

_No response_

### System

```bash
any?
```

### Additional context

_No response_
Repository: vscode
Issue: Git - Add autocomplete for SCM's commit message
Labels: feature-request,git

Automatically complete commit message based on files in the staging.

I believe this is an exceptionally innovative and highly practical feature.

<img width="707" alt="Image" src="https://github.com/user-attachments/assets/9709cd24-9486-428d-b9ce-561f8fdf98a8" />
Repository: tensorflow
Issue: Aborted in `tensorflow.nn.depthwise_conv2d_backprop_filter`
Labels: stat:awaiting response,type:bug,comp:ops,2.17

### Issue type

Bug

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

Yes

### Source

source

### TensorFlow version

tf 2.16.1 tf 2.17.0

### Custom code

Yes

### OS platform and distribution

Ubuntu 20.04

### Mobile device

_No response_

### Python version

3.11

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

On specific inputs, `tensorflow.nn.depthwise_conv2d_backprop_filterr` triggers crash.
The crash occurs in the  operator DepthwiseConv2dNativeBackpropFilter

### Standalone code to reproduce the issue

```shell
import pickle
import numpy as np
import tensorflow

filter_sizes = np.ones((13, 2, 5, 4), dtype=np.uint32)
input = 26262.2175547925
out_backprop = -14557.552005335412
strides = []
padding = 'VALID'
tensorflow.nn.depthwise_conv2d_backprop_filter(input=input, filter_sizes=filter_sizes, out_backprop=out_backprop, strides=strides, padding=padding)
```

### Relevant log output

```shell
2025-01-18 12:47:13.553183: F ./tensorflow/core/util/tensor_format.h:428] Check failed: index >= 0 && index < num_total_dims Invalid index from the dimension: 0, 0, N
Aborted (core dumped)
```
Repository: flutter
Issue: [go_router] App link provided to an app is ignored by GoRouter, when the app is suspended and resumed from background (Android)
Labels: platform-android,package,has reproducible steps,p: go_router,team-go_router,found in release: 3.27,found in release: 3.28

### Steps to reproduce

Hello, 

I have an app with native GoRouter restoration implemented (by providing restorationScopeId). 
When I provide an app link to my app, which is in the background and suspended by the OS to save memory, GoRouter ignores the app link and restores the route from its previous state. However, when the app is not started, in the foreground, or not suspended, the app link works as intended. GoRouter successfully opens the route provided by the link. Can you please advise on the issue? Thank you!



### Expected results

GoRouter opens the route according to the app link when an app link is provided to an app that is suspended in the background. 

### Actual results

When an app link is provided to an app that is suspended in the background, GoRouter ignores the app link and restores the last route. 

### Code sample

I don't think that providing a code sample is relevant here


### Screenshots or Video




### Logs




### Flutter Doctor output

flutter doctor -v
[✓] Flutter (Channel stable, 3.27.2, on Linux Mint 21.3 5.15.0-130-generic, locale en_US.UTF-8)
    • Flutter version 3.27.2 on channel stable at /home/ruslan/fvm/versions/3.27.2
    • Upstream repository ssh://git@github.com/flutter/flutter.git
    • Framework revision 68415ad1d9 (5 days ago), 2025-01-13 10:22:03 -0800
    • Engine revision e672b006cb
    • Dart version 3.6.1
    • DevTools version 2.40.2
Repository: ollama
Issue: Deepseek-v3 make smaller quants available
Labels: model request

Hi,

The smallest Deepseek-v3 you currently offer via the library is deepseek-v3:671b-q4_K_M.

Please can you make smaller quants available, e.g., Q3, to make this model more accessible.

Thanks!
Repository: transformers
Issue: Inconsistent output lengths when `max_length=20` is set implicitly vs explicitly in `generate()`
Labels: bug

### System Info

- `transformers` version: 4.49.0.dev0
- Platform: macOS-15.1.1-arm64-arm-64bit
- Python version: 3.11.10
- Huggingface_hub version: 0.27.1
- Safetensors version: 0.5.2
- Accelerate version: 1.2.1
- Accelerate config:    not found
- PyTorch version (GPU?): 2.5.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using distributed or parallel set-up in script?: no

### Who can help?

@gante
@ArthurZucker

Related PR that discusses recent default `max_length`-related changes: #34814.

### Information

- [ ] The official example scripts
- [x] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give details below)

### Reproduction

When using `generate()` with a model that has `generation_config.max_length=20`, the output length differs depending on whether `max_length` is passed explicitly or used implicitly from the `generation_config`.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

# Setup from tests/generation/test_utils.py::GenerationIntegrationTests
article = "Today a dragon flew over Paris."
model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-gpt2")
tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-gpt2")
input_ids = tokenizer(article, return_tensors="pt").input_ids

# Case 1: Implicit max_length from generation_config
out_gen_implicit = model.generate(input_ids=input_ids)
print(out_gen_implicit.shape[-1])  # 36

# Case 2: Explicit max_length
out_gen_explicit = model.generate(
    input_ids=input_ids,
    max_length=model.generation_config.max_length
)
print(out_gen_explicit.shape[-1])  # 20

```

In the first case, the generated text is longer than in the second case (36 vs. 20 tokens).


#### Reason and scope

In the first case, `max_length` is overwritten as follows in file `src/transformers/generation/utils.py`, function `_prepare_generated_length`:
```python
if generation_config.max_length == GenerationConfig().max_length:
    generation_config.max_length = generation_config.max_length + input_ids_length
```

Since `GenerationConfig().max_length` defaults to 20, the bug only affects models with `generation_config.max_length` set to 20.

### Expected behavior

The calls `model.generate(input_ids=input_ids)` and `model.generate(input_ids=input_ids, max_length=model.generation_config.max_length)` should generate texts of the same length when `generation_config.max_length` is set to 20.
Repository: godot
Issue: [4.4] Camera3D preview doesn't show anything until interact with editor. 
Labels: bug,topic:editor,topic:3d

### Tested versions

v4.4.beta1.official [d33da79d3]

### System information

Godot v4.4.beta1 - Android - Single-window, 1 monitor - OpenGL ES 3 (Compatibility) - Adreno (TM) 610 -  (8 threads)

### Issue description

After add Camera3D inside a scene camera preview doesn't show anything. It show nothing until I interact with the editor. Also this happen when select the Camera3D node every time. 

Video:

https://github.com/user-attachments/assets/37caac9f-d2f8-44b8-8086-d9fb79f80c4a

### Steps to reproduce

- add camera3D inside your tree
- check the preview

### Minimal reproduction project (MRP)

n/a