repo stringclasses 147
values | number int64 1 172k | title stringlengths 2 476 | body stringlengths 0 5k | url stringlengths 39 70 | state stringclasses 2
values | labels listlengths 0 9 | created_at timestamp[ns, tz=UTC]date 2017-01-18 18:50:08 2026-01-06 07:33:18 | updated_at timestamp[ns, tz=UTC]date 2017-01-18 19:20:07 2026-01-06 08:03:39 | comments int64 0 58 ⌀ | user stringlengths 2 28 |
|---|---|---|---|---|---|---|---|---|---|---|
huggingface/chat-ui | 297 | Is there a way to deploy without the HF token ? | I'm trying to use chat-ui with my own endpoints and I would like to know if I can get rid of the HF_ACCESS_TOKEN variable and also allow to run every model I want.
I tried to modify the TS in modelEndpoint.ts and model.ts but I can't figure how to run it independently to HF (I want it offline), here are the parts I... | https://github.com/huggingface/chat-ui/issues/297 | closed | [
"support"
] | 2023-06-14T12:11:04Z | 2023-06-15T09:52:39Z | 2 | samichaignonmejai |
huggingface/chat-ui | 296 | Issue when deploying model : Error in 'stream': 'stream' is not supported for this model | I'm trying to use bigscience/bloom-560m with chat-ui
I already have an API for the model and it's working well, same for chat-ui when I use my HF token but i get the following error message when I launch a request to my bloom-560m API from chat-ui :
```
Could not parse last message {"error":["Error in `stream`: ... | https://github.com/huggingface/chat-ui/issues/296 | closed | [
"support",
"models"
] | 2023-06-14T09:04:07Z | 2023-06-19T10:57:01Z | 2 | samichaignonmejai |
huggingface/datasets | 5,951 | What is the Right way to use discofuse dataset?? | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | https://github.com/huggingface/datasets/issues/5951 | closed | [] | 2023-06-14T08:38:39Z | 2023-06-14T13:25:06Z | null | akesh1235 |
huggingface/chat-ui | 295 | Facing issue for using custom model deployed locally on flask | I have a chat model which responds on
```
@app.route("/get")
#function for the bot response
def get_bot_response():
userText = request.args.get('msg')
data = T.getResponse(userText)
return str(data)
```
I'm not sure about the configuration but I have added `MODELS=[{"name": "mymodel", "endpoints"... | https://github.com/huggingface/chat-ui/issues/295 | closed | [
"support"
] | 2023-06-14T08:20:41Z | 2023-07-24T10:53:41Z | 6 | awsum0225 |
pytorch/data | 1,184 | Roadmap for mixed chain of multithread and multiprocessing pipelines? | ### 🚀 The feature
[pypeln](https://cgarciae.github.io/pypeln/#mixed-pipelines) has a nice feature to chain pipelines which may run on different kind of workers including process, thread or asyncio.
```python
data = (
range(10)
| pl.process.map(slow_add1, workers=3, maxsize=4)
| pl.thread.filter(slo... | https://github.com/meta-pytorch/data/issues/1184 | open | [] | 2023-06-14T07:12:36Z | 2023-06-15T17:32:46Z | 2 | npuichigo |
pytorch/serve | 2,412 | How to identify "full" torchserve instances on Google Kubernetes Engine | We're currently trying to deploy torchserve on scale on Kubernetes. We have highly fluctuating requests, basically every 5 minutes some requests come in with nothing in-between, and sometimes there'll be huge spikes. Therefore we want small pods that scale aggressively as soon as load comes in.
Here comes the issues... | https://github.com/pytorch/serve/issues/2412 | open | [
"triaged",
"kubernetes"
] | 2023-06-13T20:06:20Z | 2023-06-26T17:16:00Z | null | tsteffek |
huggingface/optimum | 1,106 | Onnxruntime support for multiple modalities model types | ### Feature request
Add support for layout and multi-modal models (e.g. LayoutLM, LayoutLMv3, LILT) to the ORTModels.
### Motivation
ORTModels allows to interact with onnxruntime models in the same way as transformers API, which is very convenient, as optimum is a part of huggingface ecosystem and the compatib... | https://github.com/huggingface/optimum/issues/1106 | open | [
"feature-request",
"onnxruntime"
] | 2023-06-13T14:30:10Z | 2023-06-14T11:10:49Z | 0 | mariababich |
huggingface/optimum | 1,105 | IO Binding for ONNX Non-CUDAExecutionProviders | ### Feature request
When using use_io_binding=True with TensorrtExecutionProvider, a warning appears :
```
No need to enable IO Binding if the provider used is not CUDAExecutionProvider. IO Binding will be turned off.
```
I don't understand the reason for this, as data movement optimization should also work f... | https://github.com/huggingface/optimum/issues/1105 | open | [
"help wanted",
"onnxruntime"
] | 2023-06-13T14:11:31Z | 2023-09-26T11:47:17Z | 5 | cyang49 |
pytorch/pytorch | 103,506 | How to add testing capabilities for third party devices | ### 🚀 The feature, motivation and pitch
The current community test cases are all cpu and cuda based, there is no ability to look after third party devices, for example many test cases use the @onlycuda decorator, any suggestions for improvements for the privateuse1 device？
### Alternatives
_No response_
### Additi... | https://github.com/pytorch/pytorch/issues/103506 | closed | [
"triaged",
"module: third_party",
"module: testing"
] | 2023-06-13T12:37:13Z | 2023-06-26T17:07:54Z | null | Bin1024 |
huggingface/datasets | 5,946 | IndexError Not Solving -> IndexError: Invalid key: ?? is out of bounds for size 0 or ?? | ### Describe the bug
in <cell line: 1>:1 │
│ │
│ /usr/local/lib/python3.10/dist-packages/transformers/trainer.py:1537 in train ... | https://github.com/huggingface/datasets/issues/5946 | open | [] | 2023-06-13T07:34:15Z | 2023-07-14T12:04:48Z | 6 | syngokhan |
huggingface/safetensors | 273 | Issue with Loading Model in safetensors Format | ### System Info
- `transformers` version: 4.30.1
- Platform: macOS-13.4-arm64-arm-64bit
- Python version: 3.11.3
- Huggingface_hub version: 0.15.1
- Safetensors version: 0.3.1
- PyTorch version (GPU?): 2.0.1 (False)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (... | https://github.com/huggingface/safetensors/issues/273 | closed | [
"Stale"
] | 2023-06-12T21:25:33Z | 2024-03-08T13:28:30Z | 11 | yachty66 |
pytorch/data | 1,181 | Does Collator need to exist? | ### 📚 The doc issue
Docs for [Collator](https://pytorch.org/data/0.6/generated/torchdata.datapipes.iter.Collator.html#torchdata.datapipes.iter.Collator) leave a lot of questions.
> Collates samples from DataPipe to Tensor(s) by a custom collate function
What does collate mean in this context? What is the coll... | https://github.com/meta-pytorch/data/issues/1181 | open | [] | 2023-06-12T15:02:52Z | 2023-07-18T00:38:02Z | 1 | lendle |
huggingface/transformers.js | 144 | Question-Answer Examples | Ca you please send us an example of question-answer please | https://github.com/huggingface/transformers.js/issues/144 | closed | [
"question"
] | 2023-06-09T21:54:37Z | 2023-06-09T22:59:17Z | null | Zenyker |
huggingface/optimum | 1,095 | Installation issue on Openvino NNcf | ### System Info
```shell
LINUX WSL 2
Distributor ID: Ubuntu
Description: Ubuntu 20.04.6 LTS
Release: 20.04
Codename: focal
OPTIMUM
Name: optimum
Version: 1.8.6
Summary: Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party lib... | https://github.com/huggingface/optimum/issues/1095 | closed | [
"bug"
] | 2023-06-09T09:55:45Z | 2024-01-05T11:10:06Z | 5 | DebayanChakraborty |
pytorch/tutorials | 2,453 | 💡 [REQUEST] - Add ABI=1 compilation instruction to README | ### 🚀 Descirbe the improvement or the new tutorial
Under certain usage circumstances, PyTorch needs to have C++11 ABI enabled. Currently there's no docs in README for introducing how to get it enabled.
Link https://github.com/pytorch/pytorch/pull/95177 to enable this request.
### Existing tutorials on this topi... | https://github.com/pytorch/tutorials/issues/2453 | closed | [] | 2023-06-09T07:53:48Z | 2023-06-15T07:13:34Z | 1 | jingxu10 |
huggingface/transformers.js | 140 | [Question] OrtRun error code 6 with a longer string for question-answering | Why do I keep running into an OrtRun error code 6 with a longer string for question-answering task:
`const result = await model(question, context, {
padding: true,
truncation: true,
});
`
Error:
`
models.js:158 An error occurred during model execution: "Error: failed to call OrtRun... | https://github.com/huggingface/transformers.js/issues/140 | closed | [
"bug",
"question"
] | 2023-06-09T04:07:28Z | 2023-07-11T11:07:26Z | null | iamfiscus |
huggingface/datasets | 5,931 | `datasets.map` not reusing cached copy by default | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | https://github.com/huggingface/datasets/issues/5931 | closed | [] | 2023-06-07T09:03:33Z | 2023-06-21T16:15:40Z | 1 | bhavitvyamalik |
huggingface/chat-ui | 282 | OpenID login | How to get providerURL, client ID and client token to create azure openid login????? | https://github.com/huggingface/chat-ui/issues/282 | closed | [
"support"
] | 2023-06-06T10:45:46Z | 2023-06-19T09:38:34Z | 1 | sankethgadadinni |
pytorch/tutorials | 2,435 | How can we contribute with videos | How can we contribute videos to GitHub in PyTorch? The video will likely be long and is a link enough to be contributed or should I send with a link | https://github.com/pytorch/tutorials/issues/2435 | closed | [
"question"
] | 2023-06-06T09:09:59Z | 2023-06-12T16:19:56Z | null | Killpit |
huggingface/transformers.js | 137 | [Question] Failed to fetch onnx model when to use AutoModel.from_pretrained | **The code here:**
```
import { AutoModel, AutoTokenizer } from '@xenova/transformers';
const modelPath = 'Xenova/distilgpt2'
let tokenizer = await AutoTokenizer.from_pretrained(modelPath); // **successful to fetch model**
let model = await AutoModel.from_pretrained(modelPath); // **failed to fetch model**
... | https://github.com/huggingface/transformers.js/issues/137 | closed | [
"question"
] | 2023-06-06T02:03:41Z | 2023-06-20T13:24:37Z | null | peter-up |
huggingface/transformers.js | 136 | [Question] Using CLIP for simple image-text similarity | I'm trying to get a simple image-text similarity thing working with CLIP, and I'm not sure how to do it, or whether it's currently supported with Transformers.js outside of the zero-shot image classification pipeline.
Is there a code example somewhere to get me started? Here's what I have so far:
```js
import { ... | https://github.com/huggingface/transformers.js/issues/136 | closed | [
"question"
] | 2023-06-05T14:24:56Z | 2023-06-06T13:35:45Z | null | josephrocca |
pytorch/pytorch | 102,966 | how to workaround the error "don't have an op for vulkan_prepack::create_linear_context" ? | ### 🐛 Describe the bug
I have a modified resnet-50 network, which I want to run on android using vulkan backend.
The custom build of pytorch with USE_VULKAN=1 works fine, but I got the error message "We don't have an op for vulkan_prepack::create_linear_context but it isn't a special case." during "optimize_for_mo... | https://github.com/pytorch/pytorch/issues/102966 | open | [
"module: build",
"triaged",
"module: vulkan",
"ciflow/periodic"
] | 2023-06-05T09:53:28Z | 2023-09-12T00:19:52Z | null | ldfandian |
huggingface/diffusers | 3,669 | General question: what are the steps to debug if the image produced is just wrong? | I have a lora(lycoris) that I have tested with A1111's webui and I'm pretty happy with the result. When I tried to use it with `diffusers` it just give me corrupted image. The lora brings some desired effect (like white background), but the overall image is just not right.
I have included some personal code to use l... | https://github.com/huggingface/diffusers/issues/3669 | closed | [
"stale"
] | 2023-06-05T01:44:49Z | 2023-07-13T15:03:51Z | null | wangdong2023 |
pytorch/pytorch | 102,939 | Not sure what is wrong, | ### 🐛 Describe the bug
It was working the last time I ran it, I ran an update and now i'm getting this when trying to train a lora
===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDet... | https://github.com/pytorch/pytorch/issues/102939 | closed | [] | 2023-06-04T23:13:41Z | 2023-06-05T15:28:14Z | null | NeVeREire |
huggingface/chat-ui | 275 | web search hallucination and prompt results | Hello, great job building web search module. Just a few things i noticed using it for the past hours.
1- It does connect to the web perfectly.
2- It tend to take only the first page result and not contextualize enough the data, trying to mix it with the model data and it ends up destroying the final output. So maybe ... | https://github.com/huggingface/chat-ui/issues/275 | open | [] | 2023-06-02T23:09:11Z | 2023-06-05T08:36:41Z | 1 | Billyroot |
huggingface/peft | 537 | Where is the PeftModel weights stored? | ## expect behavior
I am going to check if the model (mt0-xxl [13B](https://huggingface.co/bigscience/mt0-xxl)) weights have been updated.
Could you tell me how to check the weights of the model original before using peft?
How to check loaded Lora Module weights when using the peft?
## script
modified from [this... | https://github.com/huggingface/peft/issues/537 | closed | [] | 2023-06-02T09:10:09Z | 2023-07-10T15:03:40Z | null | dsj96 |
pytorch/data | 1,177 | what is the right way to serialize DataLoader2 so that pipeline with shuffle can resume from the right place? | ### 🐛 Describe the bug
I tried all these versions, the only version that worked was the last one, but it's too hacky. Is there a better way?
```py
dp = IterableWrapper(list(range(20)))
dp = dp.shuffle()
items = []
rs = InProcessReadingService()
dl = DataLoader2(dp, reading_service=rs)
... | https://github.com/meta-pytorch/data/issues/1177 | open | [] | 2023-06-02T06:52:14Z | 2023-06-08T17:31:18Z | 2 | zhengwy888 |
huggingface/chat-ui | 273 | Documentation about how to configure custom model endpoints is missing | It seems it has been removed in https://github.com/huggingface/chat-ui/commit/fae93d9fc3be9a39d8efd9ab9993dea13f0ae844. | https://github.com/huggingface/chat-ui/issues/273 | closed | [
"documentation"
] | 2023-06-01T19:37:44Z | 2023-06-19T08:59:15Z | 4 | djmaze |
pytorch/pytorch | 102,718 | How to support AMD GPU on Mac | ### 🚀 The feature, motivation and pitch
My computer is running macOS, with intel9900k cpu and amd Rx6600xt gpu.
Can I build to support this gpu?
### Alternatives
_No response_
### Additional context
_No response_ | https://github.com/pytorch/pytorch/issues/102718 | closed | [] | 2023-06-01T09:03:42Z | 2024-06-21T14:05:02Z | null | Aiden-Dong |
pytorch/benchmark | 1,707 | How to execute with docker? | I'm using ARG BASE_IMAGE=ghcr.io/pytorch/torchbench:latest
but I am having problems with this container.
or should use ghcr.io/pytorch:pytorch-nightly or [ghcr.io/pytorch:pytorch-nightly](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch) | https://github.com/pytorch/benchmark/issues/1707 | closed | [] | 2023-06-01T07:43:32Z | 2023-06-13T03:31:41Z | null | johnnynunez |
huggingface/optimum | 1,078 | [SAM] Split encoder and mask decoder into separate .onnx files | ### Feature request
Currently, exporting SAM models with optimum results in a single .onnx file (https://huggingface.co/Xenova/sam-vit-base/tree/main/onnx). It would be great if we could add an option to separate the encoder and decoder into separate onnx files (like traditional seq2seq models).
Example SAM expor... | https://github.com/huggingface/optimum/issues/1078 | closed | [] | 2023-05-31T10:47:19Z | 2023-08-24T16:05:39Z | 8 | xenova |
pytorch/data | 1,175 | Mux with MPRS causes operations after sharding_round_robin_dispatcher to run on the same worker | ### 📚 The doc issue
This doesn't seem to be mentioned in the docs, but if you have two datapipes that use `sharding_round_robin_dispatcher` and then `mux` them together:
1. Any steps between `sharding_round_robin_dispatcher` and `mux` will take place on the same worker process.
2. Only the steps after the `mux` wil... | https://github.com/meta-pytorch/data/issues/1175 | open | [] | 2023-05-30T20:36:43Z | 2023-05-31T07:48:21Z | 3 | JohnHBrock |
pytorch/data | 1,174 | Support for proper Distributed & Multiprocessing Sharding | ### 🚀 The feature
In MPI-based training, each process is independent from each other. Each training process might want to speed up dataloading using multiprocessing (MP). This requires data sharding to take place on two levels:
A. On a distributed level, usually resulting in big(ger) shards.
B. On a MP level la... | https://github.com/meta-pytorch/data/issues/1174 | open | [] | 2023-05-30T16:33:59Z | 2023-05-30T16:40:35Z | 0 | sehoffmann |
pytorch/tutorials | 2,355 | 💡 [REQUEST] - Write a tutorial about how to leverage AMX with PyTorch on the 4th Gen of Xeon | ### 🚀 Descirbe the improvement or the new tutorial
The 4th Generation Intel® Xeon® Scalable Processor platform is an unique, scalable platform optimized for different workloads acceleration on AI. The new built-in AI acceleration engine, Intel® Advanced Matrix Extensions (AMX) is able to accelerate a variety of AI In... | https://github.com/pytorch/tutorials/issues/2355 | closed | [
"docathon-h1-2023",
"advanced",
"intel"
] | 2023-05-30T03:02:23Z | 2023-11-02T19:30:05Z | null | mingfeima |
huggingface/diffusers | 3,602 | What is the default for VAE option? | If "VAE" is not specified for "Stable Diffusion," what is the default applied? | https://github.com/huggingface/diffusers/issues/3602 | closed | [] | 2023-05-29T15:42:19Z | 2023-06-08T10:30:27Z | null | Michi-123 |
pytorch/android-demo-app | 322 | I have a Whisper-based model. How can I convert it to fairseq.dict format ? | model https://huggingface.co/openai/whisper-large-v2 | https://github.com/pytorch/android-demo-app/issues/322 | open | [] | 2023-05-29T08:52:30Z | 2023-05-29T09:00:13Z | null | Roland-Du |
huggingface/transformers.js | 125 | [Question] Why running transformer in js is faster than python? | I created a repo to test how to use transformers.
https://github.com/pitieu/huggingface-transformers
I was wondering why is it that running the same models in javascript is faster than running them in python?
Is `Xenova/vit-gpt2-image-captioning` optimized somehow compared to `nlpconnect/vit-gpt2-image-captioning`... | https://github.com/huggingface/transformers.js/issues/125 | closed | [
"question"
] | 2023-05-28T05:23:05Z | 2023-07-16T17:21:39Z | null | pitieu |
huggingface/safetensors | 258 | ONNX has just become twice as fast as before. Can SafeTensors also achieve that? | Here are some announcements and technical details. It's nice to see that they are making significant improvements. Could some of that be useful and implemented for SafeTensors?
https://devblogs.microsoft.com/directx/dml-stable-diffusion/
https://www.tomshardware.com/news/nvidia-geforce-driver-promises-doubled-stabl... | https://github.com/huggingface/safetensors/issues/258 | closed | [] | 2023-05-27T12:23:01Z | 2023-06-07T09:26:24Z | 2 | WEBPerformace |
huggingface/datasets | 5,906 | Could you unpin responses version? | ### Describe the bug
Could you unpin [this](https://github.com/huggingface/datasets/blob/main/setup.py#L139) or move it to test requirements? This is a testing library and we also use it for our tests as well. We do not want to use a very outdated version.
### Steps to reproduce the bug
could not install this librar... | https://github.com/huggingface/datasets/issues/5906 | closed | [] | 2023-05-26T20:02:14Z | 2023-05-30T17:53:31Z | 0 | kenimou |
pytorch/tutorials | 2,352 | 💡 [REQUEST] - Port TorchRL `Pendulum` tutorial from pytorch.org/rl to pytorch.org/tutorials | ### 🚀 Descirbe the improvement or the new tutorial
For historical reasons, TorchRL privately hosts a bunch of tutorials.
We'd like to bring the most significant ones to pytorch tutorials for more visibility.
Here is the [tutorial](https://github.com/pytorch/rl/blob/main/tutorials/sphinx-tutorials/pendulum.py).
... | https://github.com/pytorch/tutorials/issues/2352 | closed | [
"medium",
"docathon-h2-2023"
] | 2023-05-26T19:50:31Z | 2023-11-09T20:47:06Z | 4 | vmoens |
pytorch/tutorials | 2,351 | 💡 [REQUEST] - Port TorchRL "Coding a DDPG loss" from pytorch.org/rl to pytorch.org/tutorials | ### 🚀 Descirbe the improvement or the new tutorial
For historical reasons, TorchRL privately hosts a bunch of tutorials.
We'd like to bring the most significant ones to pytorch tutorials for more visibility.
Here is the [tutorial](https://github.com/pytorch/rl/blob/main/tutorials/sphinx-tutorials/coding_ddpg.py).... | https://github.com/pytorch/tutorials/issues/2351 | closed | [
"docathon-h1-2023",
"medium"
] | 2023-05-26T19:45:04Z | 2023-06-13T16:15:45Z | 2 | vmoens |
pytorch/tutorials | 2,350 | ~PyTorch Docathon H1 2023~ | # 🎉 It's a wrap! 🎉
See our [leaderboard](https://github.com/pytorch/tutorials/blob/main/docathon-leaderboard.md) and [blog post](https://pytorch.org/blog/docathon-h1-2023-wrap-up/). Thank you to everyone who contributed and congrats to the winners!
We have a large backlog of issues that we want to address and... | https://github.com/pytorch/tutorials/issues/2350 | closed | [
"docathon-h1-2023"
] | 2023-05-26T19:09:32Z | 2023-06-20T18:59:49Z | 14 | svekars |
pytorch/tutorials | 2,349 | 💡 [REQUEST] - Port TorchRL `Recurrent DQN` tutorial from pytorch.org/rl to pytorch.org/tutorials | ### 🚀 Descirbe the improvement or the new tutorial
For historical reasons, TorchRL privately hosts a bunch of tutorials.
We'd like to bring the most significant ones to pytorch tutorials for more visibility.
Here is the [tutorial](https://github.com/pytorch/rl/blob/main/tutorials/sphinx-tutorials/dqn_with_rnn.p... | https://github.com/pytorch/tutorials/issues/2349 | closed | [
"medium",
"docathon-h2-2023"
] | 2023-05-26T16:27:51Z | 2023-11-08T16:40:10Z | 4 | vmoens |
huggingface/datasets | 5,905 | Offer an alternative to Iterable Dataset that allows lazy loading and processing while skipping batches efficiently | ### Feature request
I would like a way to resume training from a checkpoint without waiting for a very long time when using an iterable dataset.
### Motivation
I am training models on the speech-recognition task. I have very large datasets that I can't comfortably store on a disk and also quite computationally... | https://github.com/huggingface/datasets/issues/5905 | open | [
"enhancement"
] | 2023-05-26T12:33:02Z | 2023-06-15T13:34:18Z | 1 | bruno-hays |
pytorch/tutorials | 2,347 | 💡 [REQUEST] - Tutorial on extending TorchX | ### 🚀 Descirbe the improvement or the new tutorial
Create a better tutorial showing how to extend torchx.
### Existing tutorials on this topic
https://pytorch.org/torchx/latest/custom_components.html
### Additional context
_No response_
cc @msaroufim @svekars @carljparker @NicolasHug @kit1980 @subramen | https://github.com/pytorch/tutorials/issues/2347 | open | [
"advanced",
"module: torchx",
"docathon-h2-2023"
] | 2023-05-25T22:32:28Z | 2023-11-19T17:51:58Z | 12 | sekyondaMeta |
pytorch/tutorials | 2,346 | 💡 [REQUEST] - How to use TorchServe on Vertex | ### 🚀 Descirbe the improvement or the new tutorial
Create a tutorial on how to use TorchServe on Vertex AI
### Existing tutorials on this topic
_No response_
### Additional context
_No response_
cc @msaroufim @agunapal @svekars @carljparker @NicolasHug @kit1980 @subramen | https://github.com/pytorch/tutorials/issues/2346 | closed | [
"torchserve",
"advanced",
"docathon-h2-2023"
] | 2023-05-25T19:54:42Z | 2023-11-15T00:29:15Z | null | sekyondaMeta |
pytorch/tutorials | 2,345 | 💡 [REQUEST] - How to use TorchServe on AWS SageMaker | ### 🚀 Descirbe the improvement or the new tutorial
Create a tutorial on how to use TorchServe on AWS SageMaker
### Existing tutorials on this topic
_No response_
### Additional context
_No response_
cc @msaroufim @agunapal @svekars @carljparker @NicolasHug @kit1980 @subramen | https://github.com/pytorch/tutorials/issues/2345 | open | [
"torchserve",
"advanced",
"docathon-h2-2023"
] | 2023-05-25T19:53:36Z | 2023-11-09T23:01:20Z | null | sekyondaMeta |
pytorch/tutorials | 2,341 | 💡 [REQUEST] - How to use TorchServe Large Model Inference: walk through an example | ### 🚀 Descirbe the improvement or the new tutorial
Create a new tutorial showing a walk through example of TorchServe Large Model Inference
### Additional context
You can find some content to use here:
https://github.com/pytorch/serve/blob/master/docs/large_model_inference.md
https://github.com/pytorch/serv... | https://github.com/pytorch/tutorials/issues/2341 | open | [
"torchserve",
"advanced",
"docathon-h2-2023"
] | 2023-05-24T20:39:18Z | 2023-11-01T16:48:43Z | null | sekyondaMeta |
pytorch/tutorials | 2,340 | 💡 [REQUEST] - How to use TorchServe: Walk through an example | ### 🚀 Descirbe the improvement or the new tutorial
We could use an updated tutorial/walk through example on how to use TorchServe. The closest thing we have is the TorchServe Getting Started page located [here](https://github.com/pytorch/serve/blob/master/docs/getting_started.md).
### Existing tutorials on this to... | https://github.com/pytorch/tutorials/issues/2340 | open | [
"torchserve",
"advanced",
"docathon-h2-2023"
] | 2023-05-24T20:20:52Z | 2023-11-06T20:14:07Z | null | sekyondaMeta |
huggingface/chat-ui | 263 | [question] Where should we discuss chat-ui roadmap? | Is there a forum to discuss future features?
I need to implement some sort of UI component for answer references. Something like perplexity.ai "pills" under the answer.
I guess this is useful for others and I would like to discuss how should I implement such thing before hand.
- should I use pills?
- should I cr... | https://github.com/huggingface/chat-ui/issues/263 | closed | [] | 2023-05-24T13:17:47Z | 2023-05-26T02:22:29Z | 1 | fredguth |
pytorch/xla | 5,063 | How can I use the flash attention in pytorch/xla GPU mode? | ## ❓ Questions and Help
Hello, [Flash Attention](https://arxiv.org/abs/2205.14135) is a method to produce tiled and fused kernels such that the tiled parameters can fit onto the device SRAM.
May I ask to what degree this technique has been applied to pytorch/XLA?
And How do I use the `flash attention` library in... | https://github.com/pytorch/xla/issues/5063 | closed | [
"question"
] | 2023-05-24T08:42:40Z | 2025-04-30T13:04:03Z | null | wbmc |
huggingface/optimum | 1,069 | llama-7b inference report Failed to allocate memory for requested buffer of size 180355072 | ### System Info
```shell
optimum 1.8.5, 32g v100
```
### Who can help?
@JingyaHuang
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (gi... | https://github.com/huggingface/optimum/issues/1069 | closed | [
"bug",
"onnxruntime"
] | 2023-05-23T09:50:36Z | 2023-06-19T05:05:01Z | 6 | drxmy |
huggingface/chat-ui | 258 | Language change during chat | While writing in German, it answers in English. Before it always used to work...
Photo:
| https://github.com/huggingface/chat-ui/issues/258 | closed | [
"support"
] | 2023-05-23T08:41:44Z | 2023-07-24T11:46:33Z | 2 | Mbuni21 |
huggingface/transformers.js | 122 | [Question] Basic Whisper Inference vs Speed of Demo Site | Hello, I love the library~ thanks for making it!
I am trying to use the Whisper inference method displayed on the demo site, but it's running really slow,
It's taking me about 20 seconds to run it locally vs a few seconds on the demo site.
Is there some magic behind the scenes that I'm missing?
I'm just runn... | https://github.com/huggingface/transformers.js/issues/122 | closed | [
"question"
] | 2023-05-23T05:55:40Z | 2023-06-10T22:41:15Z | null | jpg-gamepad |
pytorch/tutorials | 2,336 | 💡 [REQUEST] - Write a Tutorial for PyTorch 2.0 Export Quantization Frontend (Quantizer and Annotation API) | ### 🚀 Descirbe the improvement or the new tutorial
In PyTorch 2.0, we have a new quantization path that is built on top of the graph captured by torchdynamo.export, see an example flow here: https://github.com/pytorch/pytorch/blob/main/test/quantization/pt2e/test_quantize_pt2e.py#L907, it requires backend developers... | https://github.com/pytorch/tutorials/issues/2336 | closed | [
"docathon-h1-2023",
"advanced",
"intel"
] | 2023-05-22T23:14:04Z | 2023-06-09T23:16:37Z | 2 | jerryzh168 |
pytorch/xla | 5,043 | graceful shutdown on TPU, the proper way to handle SIGINT / SIGTERM in TPU code (using PJRT runtime)? | ## ❓ Questions and Help
Hi,
I would like to run some cleanup code (writing a final checkpoint, flushing a logger, etc) to run in the process that has `xm.is_master_ordinal() == True`. I am using the pjrt backend. I attempted this:
```python
if xm.is_master_ordinal():
signal.signal(signal.SIGINT, my_han... | https://github.com/pytorch/xla/issues/5043 | open | [
"question",
"needs reproduction"
] | 2023-05-22T19:18:43Z | 2025-04-30T13:13:59Z | null | hrbigelow |
huggingface/datasets | 5,880 | load_dataset from s3 file system through streaming can't not iterate data | ### Describe the bug
I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
<img width="1144" alt="image" src="https://github.c... | https://github.com/huggingface/datasets/issues/5880 | open | [] | 2023-05-22T07:40:27Z | 2023-05-26T12:52:08Z | 4 | janineguo |
huggingface/chat-ui | 256 | changing model to 30B in the .env file | here is the model am using which is 12B i want to change to 30B:
defual one:
`MODELS=`[
{
"name": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
"datasetName": "OpenAssistant/oasst1",
"description": "A good alternative to ChatGPT",
"websiteUrl": "https://open-assistant.io",
"userMessage... | https://github.com/huggingface/chat-ui/issues/256 | closed | [
"support"
] | 2023-05-21T18:30:04Z | 2023-06-19T09:34:10Z | 5 | C0deXG |
pytorch/xla | 5,039 | nightly version/ kaggle tpu | ## ❓ Questions and Help
Hi I installed pytorch xla nightly on kaggle notebook tpu, it was working fine but a week ago it keeps giving this error
[FileNotFoundError: [Errno 2] No such file or directory: 'gsutil']
![Opera Snapshot_2023-05-21_120122_www kaggle com](https://github.com/pytorch/xla/assets/81977280/0d7... | https://github.com/pytorch/xla/issues/5039 | open | [
"question"
] | 2023-05-21T09:31:40Z | 2025-04-30T13:17:50Z | null | dina-fahim103 |
huggingface/transformers.js | 119 | [Question] A WebGPU-accelerated ONNX inference run-time | Is it possible to use https://github.com/webonnx/wonnx with transformersjs?
| https://github.com/huggingface/transformers.js/issues/119 | closed | [
"question"
] | 2023-05-21T06:11:20Z | 2024-10-18T13:30:07Z | null | ansarizafar |
huggingface/chat-ui | 255 | how to prompt it | how can i prompt this model to act certain way like be `your food assistant and you will provide the best food assistant` how can i prompt it because it all around the place when i run this model :( | https://github.com/huggingface/chat-ui/issues/255 | closed | [
"support"
] | 2023-05-20T21:41:46Z | 2023-06-01T13:00:48Z | 1 | C0deXG |
huggingface/setfit | 376 | How to get the number of parameters in a SetFitModel object? | The context is I would like to compare the parameter sizes of different models. Is there a way to count the model parameters in a SetFitModel object? Something like model.count_params() in keras. Thanks! | https://github.com/huggingface/setfit/issues/376 | closed | [
"question"
] | 2023-05-19T23:58:53Z | 2023-12-05T14:47:55Z | null | yihangit |
pytorch/examples | 1,153 | Just get a low accuracy of 75.8 with resnet50 on ImageNet | I train resnet50 on ImageNet with GPUs=8, batchsize=256, learning-rate=0.1, epochs=90, and momentum=0.90.
The attained top1 accuracy is 75.80, lower than the reported 76.15. The gap is not marginal on the large-scale ImageNet.
Why does the difference exist? | https://github.com/pytorch/examples/issues/1153 | open | [] | 2023-05-19T22:45:33Z | 2023-12-12T04:19:09Z | 2 | mountain111 |
huggingface/chat-ui | 252 | Users can't get passed "Start Chatting" modal - ethicsModelAcceptedAt not getting set? | <img width="836" alt="image" src="https://github.com/huggingface/chat-ui/assets/1438064/28a3d7f1-65e4-4b61-a82b-ffc78eb3e074">
let me know what more info you need to debug. just keeps redirecting back to home and never clears the modal. | https://github.com/huggingface/chat-ui/issues/252 | open | [
"support",
"p2"
] | 2023-05-19T19:33:33Z | 2024-01-26T08:44:39Z | 7 | cfregly |
pytorch/tutorials | 2,326 | TorchVision Instance Segmentation Finetuning Tutorial - No module named 'torch._six' | ### 🚀 Descirbe the improvement or the new tutorial
The torch._six module was deprecated and removed from PyTorch starting from version 1.7.0. The code is not working because of that. How can I adjust it to make it work?
### Existing tutorials on this topic
_No response_
### Additional context
_No response_ | https://github.com/pytorch/tutorials/issues/2326 | closed | [] | 2023-05-19T14:41:15Z | 2023-08-04T12:00:23Z | 3 | weronikawiera |
huggingface/optimum | 1,061 | mpt model support? | ### Feature request
Can you please add mpt model support to this library?
### Motivation
just testing things, and mpt seems to be unsupported by multiple huggingface libraries
### Your contribution
im just getting started, im not sure if ill be of any help | https://github.com/huggingface/optimum/issues/1061 | closed | [] | 2023-05-19T09:28:28Z | 2023-07-06T16:37:01Z | 7 | sail1369 |
huggingface/datasets | 5,875 | Why split slicing doesn't behave like list slicing ? | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | https://github.com/huggingface/datasets/issues/5875 | closed | [
"duplicate"
] | 2023-05-19T07:21:10Z | 2024-01-31T15:54:18Z | 1 | astariul |
pytorch/pytorch | 101,860 | How to add/save parameters (metadata) to pytorch model | ### 🚀 The feature, motivation and pitch
When I working on pytorch model, its difficult for me to keep variables required to run the model.
If I can add metadata to my model, I am not required to save parameters separately.
So any one knows, how to add metadata to pytorch model?
### Alternatives
_No response_
... | https://github.com/pytorch/pytorch/issues/101860 | closed | [] | 2023-05-19T07:20:06Z | 2023-05-20T05:03:08Z | null | naseemap47 |
huggingface/chat-ui | 246 | Documentation Request - Clarity around login flow outside of HuggingFace context | Could the docs (if not the code) be improved to make it clear how to:
- run this without requiring users to authenticate
- handle authentication via a 3rd party cloud (Azure, AWS, GCP, etc)
- run this with an arbitrary 3rd party model (OpenAI, Rasa, etc)
I originally thought this was the purpose of `OPENID_CLIE... | https://github.com/huggingface/chat-ui/issues/246 | closed | [
"documentation",
"enhancement"
] | 2023-05-19T02:57:56Z | 2023-06-01T06:26:49Z | 3 | hack-r |
pytorch/xla | 5,034 | How to recover from 'Exception in device=TPU:0' sickness without terminating session? |
I ran all cells in the [mnist-training.ipynb](https://colab.research.google.com/github/pytorch/xla/blob/master/contrib/colab/mnist-training.ipynb) colab successfully. However, during execution of the last cell:
```python
def _mp_fn(rank, flags):
global FLAGS
FLAGS = flags
torch.set_default_tensor_ty... | https://github.com/pytorch/xla/issues/5034 | closed | [] | 2023-05-19T01:32:17Z | 2023-05-19T19:52:59Z | null | hrbigelow |
huggingface/chat-ui | 245 | Strange DNS Behavior | Apparently some part of this leverages DNS right away when you run it, but it doesn't work on any privacy-respecting DNS resolvers. I can demonstrate this via toggling firewall options, resolv.conf, or packet inspection, but I'm not sure what in the code is related to this or how to fix it. | https://github.com/huggingface/chat-ui/issues/245 | closed | [] | 2023-05-19T01:19:11Z | 2023-05-19T02:53:11Z | 1 | hack-r |
pytorch/examples | 1,151 | How to run rpc/pipeline /main.py on two physical machines? | I want to run the Resnet on two different machines , how to run the main.py
When i change the code by add the follow
`# on rank 0
dist.init_process_group(
backend = "gloo",
init_method = 'tcp://172.16.8.196:8864',
rank = 0,
world_size = 2
)
# on rank 1
dist.init_process_group(
backend ... | https://github.com/pytorch/examples/issues/1151 | open | [] | 2023-05-18T10:54:52Z | 2023-05-18T10:54:52Z | null | Unknown-Body |
pytorch/examples | 1,150 | input and output | I really want to know how to make the format of dataset.I have 30-demension variables as input and 0-1class as output .how can I put it into the SAC model? | https://github.com/pytorch/examples/issues/1150 | open | [] | 2023-05-18T10:18:59Z | 2023-05-18T10:18:59Z | 0 | luzi560 |
pytorch/xla | 5,022 | torch.distributed.reduce vs torch_xla.core.xla_model.all_reduce | ## ❓ Questions and Help
I am a bit confused here. Can we use torch_xla.core.xla_model.all_reduce in place of torch.distributed.reduce? If, yes
In torch.distributed.reduce we need a rank destination, how to change that if we use torch_xla.core.xla_model.all_reduce? | https://github.com/pytorch/xla/issues/5022 | closed | [
"question",
"distributed"
] | 2023-05-17T13:26:02Z | 2025-05-05T12:42:24Z | null | RishabhPandit-00 |
huggingface/optimum | 1,057 | owlvit is not supported | ### Feature request
The conversion is supported in transfomers[onnx], but not yet supported in optimum.
### Motivation
convert open world vocabulary to onnx model for faster inference.
### Your contribution
If there is a guideline on how to do it, I think I can help | https://github.com/huggingface/optimum/issues/1057 | closed | [] | 2023-05-17T07:01:39Z | 2023-07-12T13:20:52Z | 11 | darwinharianto |
huggingface/datasets | 5,870 | Behaviour difference between datasets.map and IterableDatasets.map | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | https://github.com/huggingface/datasets/issues/5870 | open | [] | 2023-05-16T14:32:57Z | 2023-05-16T14:36:05Z | 1 | llStringll |
pytorch/PiPPy | 801 | How to run the gpt2 example on a single node with four GPU? | I am trying to reproduce the [gpt2 example](https://github.com/pytorch/PiPPy/tree/main/examples/hf/gpt2) in a single node without slurm for some performance metrics, but the code only provides slurm scripts. How should I modify the code to implement this example in a single node? | https://github.com/pytorch/PiPPy/issues/801 | open | [] | 2023-05-16T11:49:37Z | 2023-05-16T11:49:37Z | null | lsder |
huggingface/chat-ui | 232 | Possible performance regression in the production model? | I have been using it for 5 days , it could write simple codes for me but now it can't ;/ | https://github.com/huggingface/chat-ui/issues/232 | closed | [
"bug",
"question"
] | 2023-05-16T08:39:19Z | 2023-09-11T09:30:26Z | null | overvalue |
huggingface/chat-ui | 230 | Task not found for this model | I tried running code on my local system and updated the model name in the .env file from "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5" to "OpenAssistant/oasst-sft-6-llama-30b-xor" and now for every prompt I am getting "Task not found for this model" | https://github.com/huggingface/chat-ui/issues/230 | closed | [
"support"
] | 2023-05-16T05:18:25Z | 2024-12-13T01:28:06Z | 4 | newway-anshul |
huggingface/datasets | 5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | https://github.com/huggingface/datasets/issues/5868 | closed | [
"enhancement"
] | 2023-05-16T03:45:42Z | 2023-05-17T11:21:36Z | 2 | zyh3826 |
pytorch/TensorRT | 1,920 | how to convert itensor to pytorch tensor in torch-tensorrt fx mode? | Hi:
I'm trying to create engine with custom plugin using torch-tensorrt fx. How do I convert ITensor to torch tensor? | https://github.com/pytorch/TensorRT/issues/1920 | closed | [
"No Activity"
] | 2023-05-15T11:52:46Z | 2023-11-24T00:02:13Z | null | shuyuan-wang |
huggingface/chat-ui | 225 | Special tokens for user and assistant turns? | Hi,
I've been checking the example that used `OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5` model. This model uses the following tokens to specify the beginning of the user and assistant:
```
"userMessageToken": "<|prompter|>",
"assistantMessageToken": "<|assistant|>"
```
I'm trying to run `bigcode/starco... | https://github.com/huggingface/chat-ui/issues/225 | closed | [] | 2023-05-15T10:32:06Z | 2023-05-15T11:06:23Z | 3 | frandominguezl |
huggingface/chat-ui | 218 | Support for Contrastive Search? | Context: https://huggingface.co/blog/introducing-csearch
Passing only:
"penalty_alpha":0.6,
"top_k": 4,
Does not seem to work, as truncate, and temperature is still required. When passing this:
<pre>
"parameters": {
"temperature": 0.9,
"penalty_alpha":0.6,
"top_k": 4,
"trunca... | https://github.com/huggingface/chat-ui/issues/218 | closed | [] | 2023-05-13T22:02:37Z | 2023-09-18T13:27:20Z | 2 | PhNyx |
huggingface/setfit | 374 | Resolving confusion between fine-grained classes | My dataset has 131 classes. Some of them are fine-grained, for example:
- Flag fraud on the account -> **Open Dispute**
- Find out if there is a fraud hold on my debit card ->**Dispute Inquiry**
The model is getting confused between such classes. I have roughly 20 samples per class in my dataset and I am using `... | https://github.com/huggingface/setfit/issues/374 | closed | [
"question"
] | 2023-05-13T10:13:15Z | 2023-11-24T15:09:55Z | null | vahuja4 |
huggingface/transformers.js | 108 | [Question] Problem when converting an embedding model. | A thirst I would like to thank everyone for providing and maintaining this library. It makes working with ML in JavaScript a breeze.
I was working with the embedding models and tried to convert a multilingual model [("paraphrase-multilingual-MiniLM-L12-v2")](https://huggingface.co/sentence-transformers/paraphrase-mul... | https://github.com/huggingface/transformers.js/issues/108 | closed | [
"question"
] | 2023-05-13T09:54:12Z | 2023-05-15T17:24:16Z | null | falcon027 |
huggingface/setfit | 372 | Update Previous Model with New Categories | Is there a way to add categories based on new data?
For example - Initially I trained a model with 5 categories and saved the model. I now have new data that I want to feed into the model but this new data has 8 categories. Would I have to start from scratch or can I use the original model I trained?
Thank you! | https://github.com/huggingface/setfit/issues/372 | closed | [
"question"
] | 2023-05-12T21:22:12Z | 2023-11-24T15:10:46Z | null | ronils428 |
huggingface/dataset-viewer | 1,174 | Add a field, and rename another one, in /opt-in-out-urls | The current response for /opt-in-out-urls is:
```
{
"urls_columns": ["url"],
"has_urls_columns": true,
"num_opt_in_urls": 0,
"num_opt_out_urls": 4052,
"num_scanned_rows": 12452281,
"num_urls": 12452281
}
```
I think we should:
- rename `num_urls` into `num_scanned_urls`
- add `num_rows` wit... | https://github.com/huggingface/dataset-viewer/issues/1174 | closed | [
"question"
] | 2023-05-12T13:15:40Z | 2023-05-12T13:54:14Z | null | severo |
huggingface/chat-ui | 207 | MongoParseError: Invalid scheme | I tried to run chat-ui on my mac (Intel 2020, MacOS Ventura 13.3.1), and I get the following error:
```bash
(base) thibo@mac-M:~/Documents/chat-ui$ npm install
added 339 packages, and audited 340 packages in 39s
72 packages are looking for funding
run `npm fund` for details
found 0 vulnerabilities
... | https://github.com/huggingface/chat-ui/issues/207 | closed | [] | 2023-05-12T07:32:22Z | 2023-05-12T08:26:39Z | 1 | thiborose |
pytorch/pytorch | 101,246 | Tool for identifying where in eager model an operation is nondeterministic | ### 🐛 Describe the bug
Let's say you have a model code and when you run it twice you get bitwise different results. Where did it diverge? We can use TorchFunctionMode/TorchDispatchMode to localize where the first divergence occurred.
### Versions
master
cc @mruberry @kurtamohler | https://github.com/pytorch/pytorch/issues/101246 | open | [
"triaged",
"module: determinism"
] | 2023-05-12T02:50:04Z | 2023-05-12T14:21:45Z | null | ezyang |
pytorch/TensorRT | 1,912 | ❓ [Question] How to correctly convert model by using torch-tensorrt | ## ❓ Question
Hi, I am trying to convert resnet_rmac_fpn model which is used for image retrieval. I am unable to convert it to tensorrt model by using torch-tensorrt. According to debug information, some of the operators are not supported by Torch-TensorRT.
However, if I export the model into onnx and then conver... | https://github.com/pytorch/TensorRT/issues/1912 | closed | [
"question",
"No Activity"
] | 2023-05-11T18:40:58Z | 2023-08-21T00:02:10Z | null | HtutLynn |
huggingface/chat-ui | 202 | Help wanted: Installing `@huggingface` package from NPM registry | 👋🏻
Sorry if I am opening a dumb issue but I was just looking into fixing some UI issues and not entirely sure how to run this project locally. I've created a `.env.local` with:
```
MONGODB_URL=
HF_ACCESS_TOKEN=XXX
```
Haven't actually set the `MONGODB_URL` but did create an access token for HF.
Running i... | https://github.com/huggingface/chat-ui/issues/202 | closed | [] | 2023-05-11T17:38:24Z | 2023-05-12T11:07:10Z | 5 | eertmanhidde |
huggingface/datasets | 5,841 | Abusurdly slow on iteration | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | https://github.com/huggingface/datasets/issues/5841 | closed | [] | 2023-05-11T08:04:09Z | 2023-05-15T15:38:13Z | 4 | fecet |
huggingface/optimum | 1,046 | Make torchvision optional? | ### Feature request
Currently torchvision is a required dependency
https://github.com/huggingface/optimum/blob/22e4fd6de3ac5e7780571570f962947bd8777fd4/setup.py#L20
### Motivation
I only work on text so I don't need vision support
### Your contribution
I am sure the change would be more difficult than just "rem... | https://github.com/huggingface/optimum/issues/1046 | closed | [] | 2023-05-10T10:49:18Z | 2023-05-12T23:05:46Z | 4 | BramVanroy |
huggingface/datasets | 5,838 | Streaming support for `load_from_disk` | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | https://github.com/huggingface/datasets/issues/5838 | closed | [
"enhancement"
] | 2023-05-10T06:25:22Z | 2024-10-28T14:19:44Z | 12 | Nilabhra |
pytorch/TensorRT | 1,898 | ❓ [Question] is there any example on how to convert T5 model that compatible with huggingace's generate function? | ## ❓ Question
is there any example on how to convert T5 model that is compatible with huggingface's generate function? and able to handle dynamic shapes ?.
| https://github.com/pytorch/TensorRT/issues/1898 | closed | [
"question",
"No Activity"
] | 2023-05-09T18:51:06Z | 2023-08-20T00:02:15Z | null | dathudeptrai |
huggingface/datasets | 5,834 | Is uint8 supported? | ### Describe the bug
I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there a way ... | https://github.com/huggingface/datasets/issues/5834 | closed | [] | 2023-05-09T17:31:13Z | 2023-05-13T05:04:21Z | 5 | ryokan0123 |
pytorch/xla | 4,994 | Different Graph generations | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
This code snippet is extracted from the AdamW optimizer. This optimizer for different ranges of learning rate and weight decay generates different graphs. This is causing unexpected compilations during the running of the application. The fix is ... | https://github.com/pytorch/xla/issues/4994 | closed | [
"question",
"lowering"
] | 2023-05-09T07:18:12Z | 2025-05-05T12:57:35Z | null | amithrm |
pytorch/pytorch | 100,859 | how to calculate the macs after prune? | ### 🚀 The feature, motivation and pitch
I use torch.nn.utils.prune as prune to prune the model, then I use torchprofile.profile_macs() to calculate the macs of Pruned_model, but I find the macs will be increase before prune.remove() to make the pruning permanent. it is normal because additional calculate wil be weigh... | https://github.com/pytorch/pytorch/issues/100859 | closed | [
"oncall: quantization",
"triaged"
] | 2023-05-08T08:06:34Z | 2023-10-05T23:32:18Z | null | machengjie321 |
pytorch/tutorials | 2,313 | how to calculate the macs after prune？ | ### 🚀 Descirbe the improvement or the new tutorial
I use torch.nn.utils.prune as prune to prune the model, then I use torchprofile.profile_macs() to calculate the macs of Pruned_model, but I find the macs will be increase before prune.remove() to make the pruning permanent. it is normal because additional calculate ... | https://github.com/pytorch/tutorials/issues/2313 | open | [
"question"
] | 2023-05-08T08:02:31Z | 2023-05-26T20:02:13Z | null | machengjie321 |
pytorch/pytorch | 100,827 | How to install standalone torch dynamo with pytorch1.x | ### 🐛 Describe the bug
For many reasons, the environment is not compatible with pytorch2.0. For example, Megatron-LM compiles its transformer operators written in C++, which confine it to the limit of torch 1.x c++ extension, otherwise many compile errors. For another example, DeepSpeed implements their distributed t... | https://github.com/pytorch/pytorch/issues/100827 | closed | [
"dependency issue",
"oncall: pt2"
] | 2023-05-07T09:55:43Z | 2023-05-07T21:50:41Z | null | 2catycm |
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