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/sentence-transformers | 635 | sbert.net is down. Where can I view list of pretrained models? | https://github.com/huggingface/sentence-transformers/issues/635 | closed | [] | 2020-12-19T12:16:46Z | 2020-12-19T14:10:36Z | null | mani-rai | |
pytorch/vision | 3,188 | Cannot Build With FFmpeg Support | ## ❓ Questions and Help
### Cannot Build With FFmpeg Support
Hi.
While trying to build `torchvision` from source, I've seen this output:
```
+ python3 setup.py build
Building wheel torchvision-0.8.2
PNG found: True
libpng version: 1.6.37
Building torchvision with PNG image support
libpng include path:... | https://github.com/pytorch/vision/issues/3188 | closed | [
"question",
"topic: build",
"module: video"
] | 2020-12-18T15:41:06Z | 2021-11-16T07:26:28Z | null | KumaTea |
huggingface/datasets | 1,600 | AttributeError: 'DatasetDict' object has no attribute 'train_test_split' | The following code fails with "'DatasetDict' object has no attribute 'train_test_split'" - am I doing something wrong?
```
from datasets import load_dataset
dataset = load_dataset('csv', data_files='data.txt')
dataset = dataset.train_test_split(test_size=0.1)
```
> AttributeError: 'DatasetDict' object has no at... | https://github.com/huggingface/datasets/issues/1600 | closed | [
"question"
] | 2020-12-18T05:37:10Z | 2023-05-03T04:22:55Z | null | david-waterworth |
pytorch/vision | 3,184 | Are these 2 lines of code necessary? | Hi,
https://github.com/pytorch/vision/blob/master/references/video_classification/train.py#L134
https://github.com/pytorch/vision/blob/master/references/video_classification/train.py#L169
I wonder if these two lines are necessary.
Why do we need to assign transforms to dataset after loading them from cache, whose... | https://github.com/pytorch/vision/issues/3184 | closed | [
"question"
] | 2020-12-17T16:40:06Z | 2021-01-21T13:10:18Z | null | jc-hou |
pytorch/serve | 917 | Implement one of the TODOs: Pass request id while loading model in model_loader.py | <!--
Thank you for suggesting an idea to improve torchserve model serving experience.
Please fill in as much of the template below as you're able.
-->
**TODO**
https://github.com/pytorch/serve/blob/6c078d6cd1f91c1614c18abf2f94d3571be1b659/ts/model_loader.py#L71
```python
class TsModelLoader(ModelLoader):
... | https://github.com/pytorch/serve/issues/917 | closed | [
"help wanted",
"question"
] | 2020-12-17T04:06:19Z | 2021-11-16T02:42:09Z | null | rishabh1212 |
pytorch/vision | 3,175 | error: ‘constexpr’ call flows off the end of the function | ### envs
libtorch==1.7.1
vision == 0.8.2
### install
```bash
cmake _DWITH_CUDA=on ..
make
```
### errors
libtorch-cxx11-abi-shared-with-deps-1.7.1/libtorch/include/ATen/core/op_registration/infer_schema.h:120:16: error: ‘constexpr’ call flows off the end of the function
constexpr auto returns = createRetu... | https://github.com/pytorch/vision/issues/3175 | closed | [
"question",
"module: c++ frontend"
] | 2020-12-16T05:18:51Z | 2020-12-17T15:16:04Z | null | onism26 |
pytorch/pytorch | 49,445 | [doc] how to prevent pytorch-nightly from being replaced by a released version on pip install | ## 📚 Documentation
I found an issue with pytorch-nightly and pip install of some packages depending on pytorch.
If a user installs pytorch-nightly using:
```
pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu110/torch_nightly.html -U
```
which allows for pre-released versions... | https://github.com/pytorch/pytorch/issues/49445 | open | [
"module: binaries",
"module: docs",
"oncall: releng",
"triaged"
] | 2020-12-16T02:42:27Z | 2021-05-31T17:06:32Z | null | stas00 |
pytorch/vision | 3,169 | Width Calculation For Bounding Boxes in torchvision\models\detection\_utils.py | In the function encode_boxes (line 79 of torchvision\models\detection\_utils.py), it seems that the width of the ground truth proposals matched is being computed as
ex_widths = proposals_x2 - proposals_x1
ex_heights = proposals_y2 - proposals_y1
But for a bounding box from ms coco [368, 413, 368, 417]. I guess ... | https://github.com/pytorch/vision/issues/3169 | closed | [
"question",
"module: ops"
] | 2020-12-14T08:54:46Z | 2020-12-14T14:57:04Z | null | JamesMcCullochDickens |
pytorch/pytorch | 49,304 | How to save model with half precision? | ## ❓ Questions and Help
My model includes 5 resnet18, if they are saved with default precision(float32), then about 220MB space in my disk is occupied.
My idea is to reduce the storage to 110MB, so I used model.half() to apply precision 16.
I used torch.save(model.state_dict(),'model.pt') to save my model, howev... | https://github.com/pytorch/pytorch/issues/49304 | closed | [] | 2020-12-14T02:07:34Z | 2020-12-14T06:54:39Z | null | xinfangliu |
pytorch/pytorch | 49,298 | [question] How hard would it be to implement 4-bit precision training? | I came across the paper [Ultra-Low Precision 4-bit Training of Deep Neural Networks](https://proceedings.neurips.cc/paper/2020/file/13b919438259814cd5be8cb45877d577-Paper.pdf) on NeurIPS 2020. I think it would be cool to implement support for it in PyTorch. I think it can be done quite efficiently on CPU using the AVX2... | https://github.com/pytorch/pytorch/issues/49298 | open | [
"module: internals",
"triaged"
] | 2020-12-13T18:04:02Z | 2024-05-29T19:02:17Z | null | michalsustr |
pytorch/vision | 3,168 | Getting Error: NotADirectoryError: [WinError 267] The directory name is invalid. File and folder both are valid | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
I am getting the following error
Getting Error: NotADirectoryError: [WinError 267] The directory name is invalid. File and folder both are valid
I am using the following code:
# Load all image data
data_dir = os.getcwd()
folder_name = "t... | https://github.com/pytorch/vision/issues/3168 | closed | [
"question",
"module: datasets"
] | 2020-12-13T15:33:38Z | 2021-02-21T16:12:31Z | null | manojrustagi79 |
huggingface/datasets | 1,514 | how to get all the options of a property in datasets | Hi
could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | https://github.com/huggingface/datasets/issues/1514 | closed | [
"question"
] | 2020-12-12T16:24:08Z | 2022-05-25T16:27:29Z | null | rabeehk |
pytorch/tutorials | 1,277 | cannot import name 'extract_archive', when run seq-to-seq model in the google colab. | Why run Seq to Seq model example in the pytorch use google colab exists the problem? how to solution it?
The model example following :
import io
import torch
from torchtext.utils import download_from_url, extract_archive
from torchtext.data.utils import get_tokenizer
from torchtext.vocab import build_vocab_from... | https://github.com/pytorch/tutorials/issues/1277 | closed | [] | 2020-12-11T02:55:52Z | 2021-07-27T15:12:26Z | 4 | funny000 |
pytorch/vision | 3,149 | How can I install torchvision on Apple M1? | How can I install torchvision on Apple M1? | https://github.com/pytorch/vision/issues/3149 | closed | [
"help wanted",
"question",
"topic: build"
] | 2020-12-10T09:21:41Z | 2021-06-06T05:59:32Z | null | huwei1024 |
pytorch/TensorRT | 248 | failed build trtorch | Hi,
when run bazel build //:libtrtorch -c opt I got the following error:
no such package '@platforms//os': The repository '@platforms' could not be resolved and referenced by '//:windows' | https://github.com/pytorch/TensorRT/issues/248 | closed | [
"question"
] | 2020-12-09T08:29:33Z | 2020-12-10T05:11:34Z | null | pribadihcr |
pytorch/tutorials | 1,272 | AssertionError: Not equal to tolerance rtol=0.001, atol=1e-05 | Recently I am converting the pytorch segmentation model to onnx model。I can export the onnx model, pass the onnx.checker.check_model() and use the onnxruntime to do inference. But when I use np.testing.assert_allclose(to_numpy(torch_out), ort_outs[0], rtol=1e-03, atol=1e-05) to compare ONNX Runtime and PyTorch results,... | https://github.com/pytorch/tutorials/issues/1272 | closed | [
"onnx",
"medium",
"docathon-h2-2023"
] | 2020-12-09T06:50:04Z | 2023-11-07T00:44:48Z | 7 | GeneralJing |
pytorch/examples | 855 | cannot find dcgan-sample-10.png | Hello, recently I learn the code from https://github.com/pytorch/examples/tree/master/cpp/dcgan. But when I want to run
python display_samples.py -i dcgan-sample-10.png
I didn't find the dcgan-sample-10.png.
can you tell me how to find the image correctly?
And when I run ./dcgan to train, I got some warning:... | https://github.com/pytorch/examples/issues/855 | closed | [] | 2020-12-09T02:47:37Z | 2022-03-09T20:42:06Z | 1 | liubamboo |
pytorch/pytorch | 48,995 | How to do polymorphism on torch::nn::ModuleHolder? | The C++ frontend tutorial https://pytorch.org/tutorials/advanced/cpp_frontend.html recommends use ModuleHolder to create our own modules, but the inheritance relation does seem not translate to ModuleHolder. So I am wondering if there is a way to have both the benefit of ModuleHolder while having polymorphism among my ... | https://github.com/pytorch/pytorch/issues/48995 | closed | [
"module: cpp",
"module: nn",
"triaged"
] | 2020-12-08T03:26:39Z | 2020-12-22T20:23:06Z | null | thisisi3 |
pytorch/pytorch | 48,928 | When multiple GPUs run multiple processes, it is found that any process not running in GPU 0 will have some more memory (such as 200m) in GPU 0. What is the cause of this?（多个GPU跑多进程时候，发现只要不在0号GPU跑的进程都会在0号GPU多出一些内存(如200M)，请问这是什么情况导致的？） | Hello everyone, when multiple GPUs run multiple processes, we find that a process running in GPU 0 only occupies 1000m of memory; however, running a process with GPU 1 will occupy 1000m of memory in GPU 1, and it will also occupy 200m of memory in GPU 0; GPU 2 or GPU 3 are the same; we found that as long as the process... | https://github.com/pytorch/pytorch/issues/48928 | open | [
"oncall: distributed"
] | 2020-12-07T11:28:55Z | 2021-01-21T06:46:15Z | null | zoufangyu1987 |
pytorch/pytorch | 48,927 | how to train a "mask keypoint r-cnn" | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)... | https://github.com/pytorch/pytorch/issues/48927 | closed | [] | 2020-12-07T09:04:08Z | 2020-12-08T01:38:01Z | null | feiyangsuo |
pytorch/examples | 854 | why multiple token embedding by math.sqrt(self.ninp)? | Dear author,
I am wondering why you multiple token's embedding by math.sqrt(self.ninp) in [model.py](https://github.com/pytorch/examples/blob/a3f28a26851867b314f4471ec6ca1c2c048217f1/word_language_model/model.py#L148) from the word_language_model example.
Best | https://github.com/pytorch/examples/issues/854 | closed | [] | 2020-12-07T07:11:14Z | 2022-03-09T21:05:40Z | 1 | KK666-AI |
huggingface/datasets | 1,167 | ❓ On-the-fly tokenization with datasets, tokenizers, and torch Datasets and Dataloaders | Hi there,
I have a question regarding "on-the-fly" tokenization. This question was elicited by reading the "How to train a new language model from scratch using Transformers and Tokenizers" [here](https://huggingface.co/blog/how-to-train). Towards the end there is this sentence: "If your dataset is very large, you c... | https://github.com/huggingface/datasets/issues/1167 | closed | [
"question",
"generic discussion"
] | 2020-12-05T17:02:56Z | 2023-07-20T15:49:42Z | null | pietrolesci |
pytorch/tutorials | 1,267 | Weird results in the AUTOMATIC MIXED PRECISION tutorial. | I followed the [amp tutorial](https://pytorch.org/tutorials/recipes/recipes/amp_recipe.html#automatic-mixed-precision) (authored by @mcarilli). It's succinct and perspicuous. But the results show that mixed precision takes more memory than default precision. Can someone explain?
More details about the settings and r... | https://github.com/pytorch/tutorials/issues/1267 | closed | [
"question",
"amp"
] | 2020-12-04T04:24:26Z | 2023-03-14T18:26:59Z | null | qimingyudaowenti |
pytorch/pytorch | 48,770 | How can I find a function to calculate correlation coefficient matrix like numpy.corrcoef () in pytorch? | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)... | https://github.com/pytorch/pytorch/issues/48770 | closed | [] | 2020-12-03T05:40:21Z | 2020-12-03T16:49:24Z | null | jiangzhiwei2018 |
pytorch/serve | 822 | How to fix this problem | When I run the official example,I've got this problem,Does anyone have the same problem as Me?How can I solve it? thank you! | https://github.com/pytorch/serve/issues/822 | closed | [] | 2020-12-02T12:22:07Z | 2020-12-02T15:37:40Z | null | shyoulala |
pytorch/vision | 3,093 | VOCSegmentation transforms.ToTensor() not working | Hi,
I want to use the VOCSegmentation dataset but I always get this error:
```
TypeError: default_collate: batch must contain tensors, numpy arrays, numbers, dicts or lists; found <class 'PIL.PngImagePlugin.PngImageFile'>
```
This is a code snippet to recreate the error
```python
transform=transforms.Compose(... | https://github.com/pytorch/vision/issues/3093 | closed | [
"question",
"topic: semantic segmentation"
] | 2020-12-02T10:16:12Z | 2024-01-08T06:45:57Z | null | sirtris |
pytorch/vision | 3,090 | about retrain shufflenetv2 question | First of all, thanks for your perfect projects.
## Environments
pyhton: 3.7
pytorch: 1.7+cpu
torchvison: 0.8.1+cpu
system-os: ubuntu18.04
## Hyperparameters
lr: 0.001
momentum: 0.9
weights_decay: 0.0001
batch_size: 16
## Question introduction
Recently, I was learning the source code your provided in t... | https://github.com/pytorch/vision/issues/3090 | open | [
"question"
] | 2020-12-02T02:35:51Z | 2021-01-25T00:55:45Z | null | WZMIAOMIAO |
pytorch/xla | 2,657 | Using iterative datasets with pytorch XLA is very slow on TPU, how to use it correctly | ## Environment info
- Platform: TPU
- Python version: 3.7
## Information
I am running the following codes on TPU and GPU and on TPU this is very slow. I am not sure if the way I define dataloader for iterative dsatasets is correct or not. Here is how I define the dataloader, https://github.com/google-research/ru... | https://github.com/pytorch/xla/issues/2657 | closed | [] | 2020-12-02T01:01:14Z | 2020-12-06T00:00:11Z | null | rabeehkarimimahabadi |
pytorch/vision | 3,083 | Getting an error when modifying the faster_rcnn model to add inception_v3 backbone model | I was following this tutorial [Modifying the model to add a different backbone](https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html#modifying-the-model-to-add-a-different-backbone). When I replace the mobilenet_v2 model with inception_v3, the code does not work and gives the following error:
```
... | https://github.com/pytorch/vision/issues/3083 | open | [
"question"
] | 2020-12-01T20:19:44Z | 2020-12-02T12:10:21Z | null | js-kalsi |
pytorch/vision | 3,068 | torchvison.ops.nms uses too much gpu memory | hi there, i have a quesetion nms operator.
If i use torchvision.ops.nms to filter bbox, about 900MB GPU memory is used, where the input box and score are put into GPU. But there is no problem if the box and score in cpu. meanwhile the time cost of gpu is 0.0007s, 0.0018s in cpu.
i do not know actually why this oper... | https://github.com/pytorch/vision/issues/3068 | closed | [
"question"
] | 2020-12-01T07:44:41Z | 2021-03-23T15:48:01Z | null | ThomsonW |
pytorch/vision | 3,064 | I cannot reach the ori accuracy by training the ResNeXt-50 on the ImageNet. | I use the ['PyTorch ImageNet Training' example](https://github.com/pytorch/examples/tree/master/imagenet) and the ['models'](https://github.com/pytorch/vision/tree/master/torchvision/models) of TorchVision 0.4.2 to train ResNeXt-50 twice but got 23.52% and 23.57% (Top-1) on ImageNet Val set, which do not reach the ori ... | https://github.com/pytorch/vision/issues/3064 | closed | [
"question",
"module: models"
] | 2020-11-30T19:53:15Z | 2021-04-25T16:12:11Z | null | PoonKinWang |
pytorch/pytorch | 48,576 | how to avoid the precision loss(float32) caused by the gradient accumulation of Ring Allreduce in the case of ddp | ## ❓ Questions and Help
### how to avoid the precision loss(float32) caused by the gradient accumulation of Ring Allreduce in the case of ddp.
How to avoid the precision loss(float32) caused by the gradient accumulation of Ring Allreduce in the case of ddp
when run model in single gpu twice, the weight is al... | https://github.com/pytorch/pytorch/issues/48576 | closed | [
"oncall: distributed",
"triaged"
] | 2020-11-30T09:24:09Z | 2020-12-07T01:42:03Z | null | lezasantaizi |
pytorch/vision | 3,058 | How to solve this error? RuntimeError: Could not run 'torchvision::nms' with arguments from the 'CUDA' backend | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
I'm beginner of ML and trying to use some solution based on pytorch (called detectron2)
When the solution inferred the image, I always got the below error.
RuntimeError: Could not run 'torchvision::... | https://github.com/pytorch/vision/issues/3058 | open | [
"needs reproduction",
"module: ops"
] | 2020-11-30T08:17:04Z | 2024-01-18T01:41:05Z | null | manmani3 |
pytorch/vision | 3,056 | torchvision.roi_align does not support TPU | Hello.
We are using TPU in GCP.
We are currently modifying the code to allow the TPU to return to Detectron2.
However, there is an error that roi_align in Torchvision is not supported by TPU.
Please check the bottom. Can you solve it for me?
`File "/anaconda3/envs/torch-xla-1.7/lib/python3.6/site-packages/tor... | https://github.com/pytorch/vision/issues/3056 | open | [
"question"
] | 2020-11-28T12:16:32Z | 2020-11-30T10:06:01Z | null | CheonJiEun |
pytorch/pytorch | 48,528 | I am unable to install, How to install it? | ## ❓ Questions and Help
### I am unable to install pytorch like the way they said
Here are all the screen shots to describe error is most of the detail
#### Website
<img width="960" alt="chrome page" src="https://user-images.githubusercontent.com/71920621/100496065-07ffb580-3177-11eb-9e8d-7445d613e97f.PNG">
... | https://github.com/pytorch/pytorch/issues/48528 | closed | [
"module: binaries",
"module: windows",
"triaged"
] | 2020-11-28T07:13:38Z | 2020-11-30T15:44:32Z | null | ghost |
pytorch/vision | 3,049 | In function `ROIPool_forward(at::Tensor const&, at::Tensor const&, double, long, long)': | https://github.com/pytorch/vision/issues/1849, i try this,but it cannot work. Please help me . Thanks a lot.
In function `ROIPool_forward(at::Tensor const&, at::Tensor const&, double, long, long)':
undefined reference to `ROIPool_forward_cuda(at::Tensor const&, at::Tensor const&, float, int, int)'
| https://github.com/pytorch/vision/issues/3049 | closed | [
"question"
] | 2020-11-26T10:34:31Z | 2020-12-24T08:58:28Z | null | wj1017090777 |
pytorch/TensorRT | 242 | Failure when add aten::gt converter | I was trying add new conveter aten::gt.Scalar(Tensor self, Scalar other) -> Tensor, but it failed in test_case
in core/conversion/conveters/impl/element_wise.cpp, I add this
```
.pattern({"aten::gt.Scalar(Tensor self, Scalar other) -> (Tensor)",
[](ConversionCtx* ctx, const torch::jit:... | https://github.com/pytorch/TensorRT/issues/242 | closed | [
"question",
"No Activity"
] | 2020-11-26T06:45:23Z | 2021-01-22T00:34:40Z | null | inocsin |
pytorch/pytorch | 48,444 | How to export to onnx with nms? | Hi, I am trying to add nms in pytorch detection model and export it to onnx so that I can convert the onnx to tensorrt7.1, so how can I export a model with nms ? Any examples or documents?
Thanks. | https://github.com/pytorch/pytorch/issues/48444 | closed | [] | 2020-11-25T08:32:56Z | 2020-11-26T00:58:23Z | null | Edwardmark |
pytorch/TensorRT | 240 | ❓ [Question] How to solve aten::floor converter not found? | ## ❓ Question
How to solve aten::floor converter not found?
## What you have already tried
I am trying to convert a jit trace of a Fast SCNN network into TensorRT. I've confirmed that the trace was created in python3.6 using PyTorch 1.6.0. When printing the trace graph I do not even see the aten::floor oper... | https://github.com/pytorch/TensorRT/issues/240 | closed | [
"feature request",
"question"
] | 2020-11-24T16:13:34Z | 2021-04-22T00:54:15Z | null | nmonhollen |
huggingface/datasets | 883 | Downloading/caching only a part of a datasets' dataset. | Hi,
I want to use the validation data *only* (of natural question).
I don't want to have the whole dataset cached in my machine, just the dev set.
Is this possible? I can't find a way to do it in the docs.
Thank you,
Sapir | https://github.com/huggingface/datasets/issues/883 | open | [
"enhancement",
"question"
] | 2020-11-24T14:25:18Z | 2020-11-27T13:51:55Z | null | SapirWeissbuch |
pytorch/pytorch | 48,390 | what is the different between https://download.pytorch.org/whl/torch_stable.html and the tag | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)... | https://github.com/pytorch/pytorch/issues/48390 | closed | [] | 2020-11-23T12:40:06Z | 2020-11-26T01:06:09Z | null | jihuacao |
huggingface/datasets | 878 | Loading Data From S3 Path in Sagemaker | In Sagemaker Im tring to load the data set from S3 path as follows
`train_path = 's3://xxxxxxxxxx/xxxxxxxxxx/train.csv'
valid_path = 's3://xxxxxxxxxx/xxxxxxxxxx/validation.csv'
test_path = 's3://xxxxxxxxxx/xxxxxxxxxx/test.csv'
data_files = {}
data_files["train"] = train_path
data_files... | https://github.com/huggingface/datasets/issues/878 | open | [
"enhancement",
"question"
] | 2020-11-23T09:17:22Z | 2020-12-23T09:53:08Z | null | mahesh1amour |
pytorch/TensorRT | 235 | ❓[Question] Dynamic shape for ResNet-50 | ## ❓ Question
Hi, I try to convert ResNet-50 with dynamic shape:
```
{
"min": (1, 3, 224, 224),
"opt": (1, 3, 224, 224),
"max": (3, 3, 224, 224)
}
```
, but i get this error:
```
ERROR: [TRTorch Conversion Context] - %x.21 : Tensor = aten::flatten(%x.19, %3, %81) # /root/.c... | https://github.com/pytorch/TensorRT/issues/235 | closed | [
"question"
] | 2020-11-23T05:02:13Z | 2021-02-23T23:25:09Z | null | gavrin-s |
pytorch/vision | 3,040 | I am not able to obtain results with custom backbone | _I am following the tutorial about FasterRCNN and I would like to test my network as backbone of the net:
UCapsNet return 512 features maps
I am training on VocPascal 2007_
FRCN_model = FasterRCNN(backbone_model.Ucapsnet, 21, rpn_anchor_generator=backbone_model.anchor_generator, box_roi_pool=backbone_model.roi... | https://github.com/pytorch/vision/issues/3040 | open | [
"question",
"module: documentation"
] | 2020-11-20T15:45:08Z | 2020-11-24T08:08:56Z | null | Riretta |
pytorch/vision | 3,036 | Faster R-CNN raise errors when input tensor has require_grad=True | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
I am using the pretrained Faster R-CNN model in torchvision as a sub-model in my own image generating model. In fact,I need the Faster R-CNN to backward properly when training my whole model.
But I found that when i feed th... | https://github.com/pytorch/vision/issues/3036 | closed | [
"question",
"wontfix",
"module: models",
"topic: object detection"
] | 2020-11-20T06:38:35Z | 2020-11-20T09:38:14Z | null | EZ4NO1 |
pytorch/TensorRT | 232 | How do you activate trtorch::CompileGraph with multi inputs? | ## ❓ Question
Can you provide an example of using more than one input please?
## What you have already tried
For example I tried to do the following:
` auto Input1= torch::randn({ 4, 24, 64, 64 }, { torch::kCUDA });
auto Input2= torch::randn({ 1, 24, 1, 1 }, { torch::kCUDA });
std::vector<trtorch::Com... | https://github.com/pytorch/TensorRT/issues/232 | closed | [
"question"
] | 2020-11-19T14:35:22Z | 2020-11-24T15:56:11Z | null | OronG13 |
pytorch/vision | 3,030 | randomroate by some change | ```
def mapper(dataset_dict):
dataset_dict = copy.deepcopy(dataset_dict) # it will be modified by code below
image = utils.read_image(dataset_dict["file_name"], format="BGR")
transform_list = [
T.ResizeShortestEdge(short_edge_length=(640, 672, 704, 736, 768... | https://github.com/pytorch/vision/issues/3030 | open | [
"question",
"module: transforms"
] | 2020-11-19T14:22:27Z | 2020-11-20T09:39:28Z | null | SlowMonk |
pytorch/TensorRT | 231 | How to solve "Unable to get schema" issue | I was trying to compile torchscript model, and the log says "Unable to get schema for Node". What should I do to fix this problem?
```
%2 : int = prim::Constant[value=2]()
%3 : int = prim::Constant[value=6]()
%4 : bool = prim::Constant[value=0]()
%5 : None = prim::Constant()
%6 : int[] = prim::Const... | https://github.com/pytorch/TensorRT/issues/231 | closed | [
"question",
"No Activity"
] | 2020-11-19T09:53:50Z | 2020-12-26T00:11:00Z | null | inocsin |
pytorch/pytorch | 48,241 | How to use torch.onnx.export with customed input datatype, like SparseTensor? | ## ❓ Questions and Help
In this repo [torchsparse](https://github.com/mit-han-lab/torchsparse), there is a customed datatype [SparseTensor`](https://github.com/mit-han-lab/torchsparse/blob/d2a5817c1b30565ffdfcd191b171a0957db408a8/torchsparse/sparse_tensor.py#L6).
```python
class SparseTensor:
def __init__(self,... | https://github.com/pytorch/pytorch/issues/48241 | closed | [] | 2020-11-19T07:05:42Z | 2020-11-19T22:25:24Z | null | zeng-hello-world |
pytorch/tutorials | 1,247 | Training with batch size > 1 for adverserial example generation | The tutorial notebook on [Adverserial Training](https://github.com/pytorch/tutorials/blob/master/beginner_source/fgsm_tutorial.py) uses a batch size of 1. What code changes are needed if we want to train on a batch size of say 16. My understanding is, we only need to change the logic of
`final_pred = output.ma... | https://github.com/pytorch/tutorials/issues/1247 | closed | [
"question"
] | 2020-11-18T16:35:29Z | 2023-03-14T21:02:30Z | null | chinmay5 |
pytorch/TensorRT | 230 | ❓ [Question] We don't have an op for aten::addmm | ## ❓ Question
I'm trying to convert a modified version of Yolov3 to TesnorRT, I have the model scripted to TorchScript and I'm trying to run trtorchexec on it
I'm getting an error
```
Checking operator support
terminate called after throwing an instance of 'c10::Error'
what(): 0 INTERNAL ASSERT FAILED at "..... | https://github.com/pytorch/TensorRT/issues/230 | closed | [
"question",
"No Activity"
] | 2020-11-18T15:41:45Z | 2021-04-20T00:02:56Z | null | lablabla |
pytorch/vision | 3,022 | MaskRCNN Training on Images with no Annotations | Hi all,
I am working on a little MaskRCNN training program and ran into an issue. I know it is common practice to remove any images from the dataset that lack annotations upon initializing the dataset which I am doing. However, I am running a series of transforms using albumentations on my image and my mask. One of th... | https://github.com/pytorch/vision/issues/3022 | open | [
"question",
"awaiting response",
"topic: object detection"
] | 2020-11-18T15:23:52Z | 2020-11-30T10:42:01Z | null | gatordevin |
pytorch/TensorRT | 229 | Build trtorch failed in ubuntu | I try to build the project with bazel but failed.
my environment:
gcc: 7.5.0
g++: 7.5.0
cuda: 10.2
cudnn: 7.6.5
tensorRT: 7.0.0.11
error log:
[log.txt](https://github.com/NVIDIA/TRTorch/files/5559949/log.txt)
$ bazel build //:libtrtorch --compilation_mode opt
Starting local Bazel server and connecting... | https://github.com/pytorch/TensorRT/issues/229 | closed | [
"question"
] | 2020-11-18T12:23:02Z | 2020-11-20T02:23:10Z | null | inocsin |
huggingface/datasets | 861 | Possible Bug: Small training/dataset file creates gigantic output | Hey guys,
I was trying to create a new bert model from scratch via _huggingface transformers + tokenizers + dataets_ (actually using this example script by your team: https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py). It was supposed to be a first test with a small 5 GB r... | https://github.com/huggingface/datasets/issues/861 | closed | [
"enhancement",
"question"
] | 2020-11-17T13:48:59Z | 2021-03-30T14:04:04Z | null | NebelAI |
pytorch/TensorRT | 226 | How to build from sources on Windows | ## ❓ Question
How shall I edit the WORKSPACE file in order to build tag 0.1.0 from sources on Windows?
## What you have already tried
1. I successfully did the build from sources process for Jetson Xavier AGX, see:
[https://github.com/NVIDIA/TRTorch/issues/222](url)
1. Based on the material that I was alre... | https://github.com/pytorch/TensorRT/issues/226 | closed | [
"question",
"channel: windows"
] | 2020-11-17T11:57:18Z | 2022-09-02T18:12:18Z | null | OronG13 |
pytorch/pytorch | 48,075 | How to convert syncbn to batchnormND? | I want to run a model with syncBn in cpu, so I have to convert syncBN to batchNormND, how can I do that?
I just found a way to convert from bn to syncbn, but how to do the opposite? Thanks in advance.
[convert2syncbn](https://pytorch.org/docs/stable/generated/torch.nn.SyncBatchNorm.html?highlight=sync#torch.nn.SyncB... | https://github.com/pytorch/pytorch/issues/48075 | closed | [
"module: nn",
"triaged",
"enhancement"
] | 2020-11-17T02:41:22Z | 2020-11-18T02:42:34Z | null | Edwardmark |
pytorch/pytorch | 48,074 | How use libtorch(or other API) to implement "contiguous", "view", "permute", "transpose" in c++? | ## How use libtorch to implement "contiguous", "view", "permute", "transpose" in c++?
Hello~ I need to transplant python to c++, I don't know how to implement "contiguous", "view", "permute" in c++. I found that libtorch can help me, but I have not find all the "Tensor operations" which I need,such as "contiguous", "v... | https://github.com/pytorch/pytorch/issues/48074 | closed | [] | 2020-11-17T02:16:24Z | 2020-11-17T15:44:11Z | null | wxyhv |
huggingface/datasets | 853 | concatenate_datasets support axis=0 or 1 ？ | I want to achieve the following result
| https://github.com/huggingface/datasets/issues/853 | closed | [
"enhancement",
"help wanted",
"question"
] | 2020-11-16T02:46:23Z | 2021-04-19T16:07:18Z | null | renqingcolin |
pytorch/pytorch | 47,980 | How to avoid `torch.onnx.export` use INT64? | In order to do inference in browser/JavaScript, I used `torch.onnx.export()` to get the onnx model.
However, the exported model used INT64 which is invalid for the JavaScript environment. I tried to change the data type in ONNX manually but it brings more error.
May I know how to force the `torch.onnx.export` use ... | https://github.com/pytorch/pytorch/issues/47980 | closed | [
"module: onnx",
"triaged"
] | 2020-11-15T04:11:06Z | 2021-04-21T11:23:35Z | null | waittim |
pytorch/tutorials | 1,237 | DistributedDataParallel tutorial should use actual data | The current DistributedDataParallel tutorial feeds in data randomly generated on the spot. This is useful to a point but, since all real world applications will use a dataloader, it would be good to have a complete example with even MNIST that implements DistributedDataParallel. "https://pytorch.org/tutorials/intermedi... | https://github.com/pytorch/tutorials/issues/1237 | closed | [] | 2020-11-13T18:51:01Z | 2023-03-14T21:05:55Z | 1 | rmcavoy |
pytorch/vision | 2,999 | CMake build failed with error: 'class c10::OperatorHandle' has no member named 'typed' | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
Steps to reproduce the behavior:
1. Install PyTorch that was built myself, with build information:
```
#python3
Python 3.6.8 (default, Apr 20 2020, 14:49:33)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-39)] on linux
Type "help"... | https://github.com/pytorch/vision/issues/2999 | closed | [
"question",
"topic: build"
] | 2020-11-13T09:47:07Z | 2020-11-13T13:18:19Z | null | tanyokwok |
pytorch/vision | 2,994 | How to dynamically split tensor | ## How to split a tensor dynamically by split_sizes, not by constant shape
Trying to convert mask-rcnn to onnx and run on onnxruntime.
Following code try to split mask_pred by num_mask_roi_per_img
However, while run in onnxruntime, num_mask_roi_per_img becomes constant value, for instance (68,) which is number of b... | https://github.com/pytorch/vision/issues/2994 | closed | [
"topic: object detection",
"module: onnx"
] | 2020-11-12T13:27:05Z | 2022-07-21T09:11:35Z | null | RunningLeon |
pytorch/pytorch | 47,823 | How to frozen weights in TorchScript IR? | Hi, i just add a pass in TorchScript IR to convert BertLayer to fastertransformer Encoder, however i find model is slow after convert to TorchScript. I get Nvprof result and find a time consuming activity:
```
Type Time(%) Time Calls Avg Min Max Name
GPU activities: 57.50% 1.49484s ... | https://github.com/pytorch/pytorch/issues/47823 | closed | [
"oncall: jit"
] | 2020-11-12T02:51:07Z | 2020-11-12T07:54:27Z | null | Sun-Knight-Soral |
pytorch/pytorch | 47,681 | How to install Pytorch on AIX7.2 without internet access? | I am trying to install Pytorch on AIX7.2 server without internet access. I have pytorch-1.0.2.tar.gz from PYPI website and run the PIP installation as ```python -m pip install Flask --no-build-isolation --no-index --find-links ./ $pkg``` where $pkg is pytorch-1.0.2.tar.gz. However, it has the following error. How to... | https://github.com/pytorch/pytorch/issues/47681 | open | [
"module: build",
"triaged"
] | 2020-11-10T17:02:24Z | 2020-11-11T02:05:42Z | null | bergen288 |
pytorch/serve | 779 | Hi, any suggestion on how to serve yolov5 on torchserve ? | <!--
Thank you for suggesting an idea to improve torchserve model serving experience.
Please fill in as much of the template below as you're able.
-->
## Is your feature request related to a problem? Please describe.
<!-- Please describe the problem you are trying to solve. -->
I'd like to serve yolov5 model,... | https://github.com/pytorch/serve/issues/779 | closed | [
"triaged_wait"
] | 2020-11-10T03:18:54Z | 2023-07-31T17:53:42Z | null | yuanyuangoo |
pytorch/tutorials | 1,227 | Yolov5 quantization : problem with FloatFunctional() | I'm trying quantize [Yolov5 (object detection)](https://github.com/ultralytics/yolov5). And i'm following [this tutorial](https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html) to do static quantization. As per tutorial I'm changing all torch.add s to torch.nn.quantized.FloatFunctional() like this.
... | https://github.com/pytorch/tutorials/issues/1227 | closed | [
"question",
"module: quantization"
] | 2020-11-09T16:38:33Z | 2023-03-16T22:31:13Z | null | bingiflash |
pytorch/tutorials | 1,225 | Seq2Seq Transformer Tutorial | I'm having difficulty understanding a few aspects of the Seq2Seq transformer tutorial (https://pytorch.org/tutorials/beginner/transformer_tutorial.html)
1. The tutorial says that it implements the architecture from Attention Is All You Need, but I don't see a TransformerDecoder used anywhere. It instead looks like o... | https://github.com/pytorch/tutorials/issues/1225 | closed | [
"module: torchtext",
"docathon-h1-2023",
"easy"
] | 2020-11-08T20:39:19Z | 2023-06-09T16:32:37Z | 5 | mmwebster |
pytorch/pytorch | 47,577 | How to implement Iterative dataset with multiple workers | Hi
I have a TFDS dataset, which I convert it to an iterative dataset in pytorch, this is not clear for me how to make it work with multiple-workers, here is the minimal code to show what I mean, could you help me please complete it with different workers, and provide me with how I can implement worker_init_fn(worker_i... | https://github.com/pytorch/pytorch/issues/47577 | closed | [] | 2020-11-08T13:01:52Z | 2020-11-09T16:03:07Z | null | rabeehkarimimahabadi |
pytorch/pytorch | 47,574 | How to add custom CUDA function as torchScript Node? | Hi, i want to add my CUDA function as a torchScript Node, but i can't use torchScript extention op as i can't let other people to use so file. It's there a way? Thank you very much!
cc @gmagogsfm | https://github.com/pytorch/pytorch/issues/47574 | closed | [
"oncall: jit"
] | 2020-11-08T10:28:25Z | 2021-02-27T07:58:59Z | null | Sun-Knight-Soral |
pytorch/pytorch | 47,573 | How to add custom CUDA function as torchScript Node? | Hi, i want to add my CUDA function as a torchScript Node, but i can't use torchScript extention op as i can't let other people to use so file. It's there a way? Thank you very much!
cc @gmagogsfm | https://github.com/pytorch/pytorch/issues/47573 | closed | [
"oncall: jit"
] | 2020-11-08T10:28:06Z | 2020-11-08T17:15:02Z | null | Sun-Knight-Soral |
pytorch/pytorch | 47,572 | How to add custom CUDA function as torchScript node? | Hi, i want to add my CUDA function to torchScript as a Node, but i don't want to use torchScript extention op as i can't let other people to load so file, is there any way? Thankyou very much!
cc @gmagogsfm | https://github.com/pytorch/pytorch/issues/47572 | closed | [
"oncall: jit"
] | 2020-11-08T10:25:02Z | 2020-11-08T17:15:35Z | null | Sun-Knight-Soral |
pytorch/pytorch | 47,548 | how to extract more than two variables using default_collate from torch.utils.data.dataloader? | Kindly help as how to extract more than just two variables (x,y) using default_collate from torch.utils.data.dataloader. | https://github.com/pytorch/pytorch/issues/47548 | closed | [] | 2020-11-07T05:52:49Z | 2020-11-09T16:00:31Z | null | Jayashree-Pougajendy |
pytorch/xla | 2,613 | How to get function return from xmp.spawn distributed processes | Wonder how do we get value returned from spawned functions.
For example, if accuracy is calculated in each core, and i want it to be returned to the main function
```
def _mp_fn():
#some training and valuation code here
return accuracy
```
```
accuracy = xmp.spawn(_mp_fn, nprocs=8)
```
In mult... | https://github.com/pytorch/xla/issues/2613 | closed | [] | 2020-11-06T19:58:07Z | 2020-11-11T14:51:43Z | null | 8key |
pytorch/pytorch | 47,491 | How to get averaged loss in multi-gpu training ? | Hi,
I am using multi-gpu training, following the tutorial:
https://pytorch.org/docs/stable/notes/ddp.html
I am trying to construct the curves of training and validation losses for visulization. But it seems I can only access the loss of one gpu.
I know that the losses of multi-gpu will be averaged before back... | https://github.com/pytorch/pytorch/issues/47491 | closed | [] | 2020-11-06T05:44:59Z | 2020-11-06T05:58:38Z | null | shuuchen |
pytorch/text | 1,071 | How to get the translation results from tensor in seq2seq model | ## ❓ Questions and Help
**Description**
<!-- Please send questions or ask for help here. -->
I am try to implement my own MT engine, i am following the steps in https://github.com/bentrevett/pytorch-seq2seq/blob/master/1%20-%20Sequence%20to%20Sequence%20Learning%20with%20Neural%20Networks.ipynb
I also propose a q... | https://github.com/pytorch/text/issues/1071 | closed | [] | 2020-11-06T02:12:34Z | 2020-11-06T06:05:17Z | null | Oscarjia |
pytorch/pytorch | 47,483 | Update how to build PyTorch with CUDA Windows instructions | PyTorch currently could not be build using recommended `14.11.25503` minimal toolchain, see:
https://github.com/pytorch/pytorch/blame/b4b0fa637178baf9147416b550c7db70de6a5fa3/README.md#L258
But if one tries to following this instructions using PyTorch-1.7 or newer it will fail with as shown in:
https://github.com/... | https://github.com/pytorch/pytorch/issues/47483 | closed | [
"module: build",
"module: windows",
"module: docs",
"triaged",
"windows-triaged"
] | 2020-11-06T01:27:58Z | 2020-11-16T16:16:00Z | null | malfet |
pytorch/xla | 2,606 | how to make sure pytorch xla is doing data parallelism | Hi
when I call xm.spawn to distribute a work over multiple TPU cores, how can I make sure this is actually working and getting use of all cores? thanks | https://github.com/pytorch/xla/issues/2606 | closed | [] | 2020-11-05T16:30:15Z | 2020-11-30T18:18:00Z | null | rabeehkarimimahabadi |
pytorch/pytorch | 47,439 | how to use torch.utils.checkpoint + gru with variable length sequence? | I just want to use torch.utils.checkpoint on GRU to save gpu memory.
```py
def check(self, packed):
out, _ = self.rnn(packed)
padded = pad_packed_sequence(out, batch_first=True)
return padded
def forward(self, x, lengths):
"""Handles variable size captions
"""
x = self.embed(x)
... | https://github.com/pytorch/pytorch/issues/47439 | open | [
"module: rnn",
"triaged"
] | 2020-11-05T13:25:06Z | 2023-11-02T13:26:34Z | null | liuyyy111 |
pytorch/vision | 2,963 | detector as feature extractor | Hello,
I am using mask rcnn for detection. So basically fine tuning. However I want extract feature for each object that is being detected.
So possibly extracting feature vector just before last layer. How can I do that ? forward hooks ?
I was also looking into https://github.com/pytorch/vision/blob/master/tor... | https://github.com/pytorch/vision/issues/2963 | open | [
"question"
] | 2020-11-04T22:49:19Z | 2020-11-10T12:39:51Z | null | gaussiangit |
pytorch/vision | 2,959 | Allow torchvision.io to pass through ToTensor() | ## 🚀 Ensure torchvision.io is a drop-in replacement with current workflows
The following snippet will fail.
```
img = torchvision.io.read_image()
img = torchvision.transforms.ToTensor()(img)
```
## Pitch
Consider making native io compatible with existing transform workflows by allowing the tensor type to pa... | https://github.com/pytorch/vision/issues/2959 | closed | [
"question",
"needs discussion"
] | 2020-11-04T03:56:27Z | 2020-11-20T09:46:26Z | null | jgbradley1 |
pytorch/vision | 2,955 | [RFC] How to handle BC breaking changes on Model weights or hyper-parameters | ## 🚀 Feature
In order to fix bugs we are sometimes forced to introduce BC breaking changes. While the process of such introductions is clear when it comes to code changes, it's not when it comes to model weights or hyper-parameters. Thus we should define when, why and how to introduce BC-breaking changes when it come... | https://github.com/pytorch/vision/issues/2955 | open | [
"needs discussion",
"version incompatibility"
] | 2020-11-03T12:10:36Z | 2021-09-04T16:37:54Z | null | datumbox |
pytorch/vision | 2,951 | Imagenet Pre-trained model for other Depth Multiplier | On the mnasnet model under mnasnet.py file, the link provided for imagenet pretrained model is only for two depth multiplier, as shown in the code below:
_MODEL_URLS = {
"mnasnet0_5":
"https://download.pytorch.org/models/mnasnet0.5_top1_67.823-3ffadce67e.pth",
"mnasnet0_75": None,
"mnasnet1_0":
... | https://github.com/pytorch/vision/issues/2951 | open | [
"question",
"module: models"
] | 2020-11-03T06:58:39Z | 2020-11-06T00:56:35Z | null | NaifahNurya |
pytorch/vision | 2,943 | the divide mistake of positive and negative samples | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)... | https://github.com/pytorch/vision/issues/2943 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-10-31T07:58:29Z | 2020-11-06T10:29:01Z | null | ghost |
pytorch/pytorch | 47,147 | libtorch 1.6.0: How to make the data of each batch have different sizes | libtorch 1.6.0 win10 x64 .
I wrote an OCR model of the dataset.The word is encoded with different lengths as the label input.How to make the data of each batch have different sizes?
example:
data:123.png datasize:[batchsize,3,180,32] ,label: 123,labelsize:[batchsize,3]
data:3234.png datasize:[batchsize,3,180,3... | https://github.com/pytorch/pytorch/issues/47147 | closed | [] | 2020-10-31T04:30:47Z | 2020-11-01T03:52:41Z | null | williamlzw |
pytorch/pytorch | 47,118 | How to specify the instances for batches | I am trying to solve a multi-task learning problem where I want to implement a homogeneous epoch sampling strategy (i.e in a single batch, instances from only one task are present and such batches are shuffled).
For example, Bij represents ith batch during training is of jth task
Let's assume tasks are A,B,C
B1A, ... | https://github.com/pytorch/pytorch/issues/47118 | closed | [] | 2020-10-30T15:13:54Z | 2020-10-30T16:38:44Z | null | nrjvarshney |
huggingface/pytorch-image-models | 261 | What is different with paper for mobilenet v3 and efficientNet | Thank for your great works.
The results with your code show much higher accuracy compared to reported accuracy. (mobilenet v3 and efficientNet)
I want to know what is main different with paper.
| https://github.com/huggingface/pytorch-image-models/issues/261 | closed | [] | 2020-10-29T13:34:35Z | 2020-10-30T01:15:38Z | null | gksruf |
pytorch/vision | 2,919 | How to change the num_classes from 1000 in vgg? | I use
model = vgg.vgg16(pretrained=True, progress = True, num_classes=10)
and use pretrained model 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth',
then, the error happend:
RuntimeError: Error(s) in loading state_dict for VGG:
size mismatch for classifier.6.weight: copying a param wi... | https://github.com/pytorch/vision/issues/2919 | closed | [
"question"
] | 2020-10-28T07:43:00Z | 2020-10-28T14:53:37Z | null | SunJJ1996 |
pytorch/pytorch | 46,902 | How to use clang as a cuda compiler instead of nvcc? | I want to ask if we can use clang as a cuda compiler instead of nvcc, such as 'TF_CUDA_CLANG', 'CLANG_CUDA_COMPILER_PATH' options similar to tensorflow/third_party/gpus/cuda_configure.bzl?
cc @malfet @seemethere @walterddr | https://github.com/pytorch/pytorch/issues/46902 | open | [
"module: build",
"triaged",
"enhancement"
] | 2020-10-27T05:52:23Z | 2020-11-10T03:48:41Z | null | HangJie720 |
pytorch/vision | 2,894 | Activation function for object proposals in RoI (test time) | ## 🚀 Feature
Replace softmax with sigmoid in `postprocess_detections `method in `roi_heads`:
https://github.com/pytorch/vision/blob/5cb77a20c3c65ca6199fdf1c1bc642af7447d311/torchvision/models/detection/roi_heads.py#L677
## Motivation
In the current implementation, score is class-dependent (softmax), but... | https://github.com/pytorch/vision/issues/2894 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-10-26T11:34:58Z | 2020-10-26T12:51:20Z | null | AlexTS1980 |
pytorch/examples | 837 | License of the fast-neural-style models? | Are the fast-neural-style models that are downloadable through
https://github.com/pytorch/examples/blob/0f0c9131ca5c79d1332dce1f4c06fe942fbdc665/fast_neural_style/download_saved_models.py#L27
also licensed under the [BSD-3-Clause license](https://github.com/pytorch/examples/blob/master/LICENSE)? | https://github.com/pytorch/examples/issues/837 | closed | [] | 2020-10-26T06:59:51Z | 2021-03-04T06:12:57Z | 3 | pmeier |
pytorch/vision | 2,884 | GroupedBatchSampler related bug in vision/references/detection/train.py | I strongly suspect that there is a bug in the detection trainer code that uses `GroupedBatchSampler` to group images by aspect ratio.
```
if args.distributed:
train_sampler = torch.utils.data.distributed.DistributedSampler(dataset)
test_sampler = torch.utils.data.distributed.DistributedSampler(dataset_tes... | https://github.com/pytorch/vision/issues/2884 | closed | [
"question",
"module: reference scripts",
"topic: object detection"
] | 2020-10-24T07:48:48Z | 2020-10-26T12:36:38Z | null | erickim555 |
pytorch/tutorials | 1,203 | Put some more better practices in custom operator tutorial | Given our experience with internal users of custom operator registration API, there are some more important things the tutorial should cover:
* Handling non-contiguous inputs
* How to use TensorIterator for easy pointwise operators
* (FB only) The rest of the scaffolding you need for fbcode
cc @dzhulgakov | https://github.com/pytorch/tutorials/issues/1203 | open | [
"C++",
"torchscript"
] | 2020-10-23T21:15:48Z | 2021-07-27T22:04:45Z | 0 | ezyang |
pytorch/vision | 2,878 | Hello , i found a mismatch between the implemented torchvision.models.detection.backbone_utils.resnet_fpn_backbone() in github and what we get by installing via pip, the one in github is having returned_layer and extra_blocks as parameters but one we get by installign doesnt have any of these parameters, | ## ❓ Questions and Help
### Please note that this issue tracker is not a help form and this issue will be closed.
We have a set of [listed resources available on the website](https://pytorch.org/resources). Our primary means of support is our discussion forum:
- [Discussion Forum](https://discuss.pytorch.org/)... | https://github.com/pytorch/vision/issues/2878 | closed | [
"question"
] | 2020-10-23T10:18:55Z | 2020-10-23T10:38:52Z | null | akashprakas |
pytorch/pytorch | 46,760 | How to define a new data type in native_functions.yaml? | How to define a new data type in native_functions.yaml?
Such as there is exist a data type "int[]"，bu i want a data type "float[]"，what sould i do?
Looking forward to your advice, I will be very grateful！
cc @ezyang @bhosmer @smessmer @ljk53 @bdhirsh @ailzhang | https://github.com/pytorch/pytorch/issues/46760 | open | [
"module: internals",
"triaged"
] | 2020-10-23T09:04:27Z | 2020-10-26T15:16:34Z | null | max-niu |
pytorch/TensorRT | 193 | ❓ [Question] How does max_batch_size work? | ## ❓ Question
How one should use `max_batch_size` compilation option? There's not a lot said about it on [documentation](https://nvidia.github.io/TRTorch/py_api/trtorch.html) apart of that it should greater than 0.
## What you have already tried
Here's the toy example I'm playing with:
```
import torch
impo... | https://github.com/pytorch/TensorRT/issues/193 | closed | [
"question"
] | 2020-10-21T15:49:13Z | 2020-10-30T08:22:33Z | null | ateraz |
pytorch/vision | 2,853 | How to get corresponding feature regions of final detections from feature map of backbone? | Hi,
For every output detection [x1, y1, x2, y2], I would like to extract its corresponding region in the feature map output of the backbone of Faster-RCNN. Similarly, I want to extract the corresponding region in the feature map for the target (groundtruth) bounding boxes.
Can you point me to how this should be ... | https://github.com/pytorch/vision/issues/2853 | open | [
"question",
"topic: object detection"
] | 2020-10-21T13:24:56Z | 2020-10-27T12:11:54Z | null | igygi |
pytorch/vision | 2,850 | Can pretrained resnet-50 extract feature from a higher resolution picture? | Can pre-trained ResNet-50 extract feature from a higher resolution picture?
Typically, when we use Resnet to extract features, we need to crop the image into 224 x 224 then pass the image to ResNet.
I want to know if we want a larger image( e.g. 720 x 720) to be processed, we have to modify the network and re-tr... | https://github.com/pytorch/vision/issues/2850 | closed | [
"question"
] | 2020-10-21T04:45:24Z | 2020-10-26T12:58:27Z | null | Frank-Dz |
pytorch/vision | 2,832 | About the segmentation. | In the reference, I replaced the cross entropy in the semantic segmentation module with weighted cross entropy. The result was worse. The weight is calculated based on the training set. If the cross entropy is replaced by focal loss, the effect is also poor. Why is this? Still, the best loss function for semantic segme... | https://github.com/pytorch/vision/issues/2832 | closed | [
"question"
] | 2020-10-19T01:53:05Z | 2020-10-19T07:26:20Z | null | ghost |
pytorch/text | 1,045 | How to get the original sentences from train_iter object? | ## ❓ Questions and Help
**Description**
Is there a easy way to print out the original input sentences instead of tensor objects? For example:
```
def eval(data_iter, model, args):
model.eval()
corrects, avg_loss = 0, 0
for batch in data_iter:
feature, target = batch.text, batch.label
... | https://github.com/pytorch/text/issues/1045 | closed | [] | 2020-10-16T18:30:17Z | 2020-10-16T19:25:24Z | null | sunyangfu |
pytorch/pytorch | 46,450 | How to use GPU Tensor in diffrent GPUStreams with multi threads | thread task codes as follow：
void* task_routine3(void** arg)
{
struct timeval time_cur;
auto options = torch::TensorOptions().device(torch::kCUDA, 0);
torch::Device device(torch::kCUDA, 0);
pthread_t tid = pthread_self();
std::cout << tid << "Start time:" << time_cur.tv_sec << ":" << time_c... | https://github.com/pytorch/pytorch/issues/46450 | closed | [] | 2020-10-16T06:44:57Z | 2020-10-16T22:33:05Z | null | litttl |
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