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 |
|---|---|---|---|---|---|---|---|---|---|---|
pytorch/examples | 759 | torch::Tensor can't be use with std::tuple or std::vector? | #include <torch/torch.h>
#include <Windows.h>
#include <iostream>
#include <string>
#include <vector>
auto ReadRsv(const std::string path) {
HANDLE filea= CreateFileA((LPCSTR)path.c_str(), GENERIC_READ, FILE_SHARE_READ | FILE_SHARE_WRITE, NULL, OPEN_EXISTING, FILE_FLAG_SEQUENTIAL_SCAN,NULL);
int cout;
int ... | https://github.com/pytorch/examples/issues/759 | open | [
"c++"
] | 2020-04-24T04:46:38Z | 2022-03-09T20:49:36Z | 1 | williamlzw |
pytorch/pytorch | 37,201 | Libtorch:how to create tensor from tensorRT fp16 cuda half type pointer? | how to create tensor from tensorRT fp16 half type pointer in libtorch?
I am working on a detection model. I change the backbone of it to tensorRT to do FP16 inference, and the detection code such as decode boxes and nms is done in libtorch and torchvisoin, so how to create fp16 tensor from tensorRT half type pointers?... | https://github.com/pytorch/pytorch/issues/37201 | closed | [
"module: cpp",
"triaged"
] | 2020-04-24T02:19:45Z | 2020-04-29T03:28:20Z | null | Edwardmark |
pytorch/pytorch | 37,134 | C++ model output is a List, how to get each item? | ## ❓ Questions and Help
I'm using PyTorch1.3 and libtorch1.3.
In python, my scripted model's returned type is `List[List[Dict[str, Tensor]]]`
In C++, I get model output from `auto output = model.forward(inputs);`, I find that output is a `GenericList`. I don't know how to access each item of GenericList, and I w... | https://github.com/pytorch/pytorch/issues/37134 | closed | [] | 2020-04-23T07:53:56Z | 2020-04-23T12:07:01Z | null | kaituoxu |
pytorch/pytorch | 37,132 | How to rebuild the libtorch to get the lib.so after download the libtorch from https://download.pytorch.org/libtorch/nightly/cu92/libtorch-win-shared-with-deps-latest.zip? | how to build and make libtorch after I change the code in https://download.pytorch.org/libtorch/nightly/cu92/libtorch-win-shared-with-deps-latest.zip?
Any guide please?
Thanks in advance. | https://github.com/pytorch/pytorch/issues/37132 | closed | [] | 2020-04-23T06:08:40Z | 2020-04-23T07:22:20Z | null | Edwardmark |
pytorch/examples | 757 | the learning rate of word_language_model | Hi, I have a question about the learning rate in the example "word_language_model",
the init lr = 20, which seems very large, can you tell me why lr is set to equal 20?
Thanks a lot!
If you have some advices about improving the performance, please let me know and thanks | https://github.com/pytorch/examples/issues/757 | open | [
"help wanted",
"nlp"
] | 2020-04-22T09:07:29Z | 2024-04-02T21:27:56Z | 3 | zhangyingbit |
pytorch/pytorch | 36,991 | how to convert quantization_ware_training model to onnx | ## ❓ Questions and Help
python 3.6
pytorch version: 1.4.0
onnx 1.6.0
In most issues, some of them mentioned about this question. but I still don't know how to convert a int8 model to onnx. I followed the tutorial (https://pytorch.org/tutorials/advanced/static_quantization_tutorial.html#quantization-aware-training)... | https://github.com/pytorch/pytorch/issues/36991 | closed | [] | 2020-04-21T08:31:29Z | 2020-04-21T20:19:36Z | null | onesnow123q |
pytorch/examples | 755 | Process doesn't exit properly for single-node distributed setting. | Hello, I trained an ImageNet using the following arguments,
```
CUDA_VISIBLE_DEVICES=0,2,3,4 python main.py /media/ramdisk/images --arch resnet18 -j 16 --multiprocessing-distributed --dist-url 'tcp://127.0.0.1:52038' --dist-backend 'nccl' --world-size 1 --rank 0 --print-freq 2500
```
The visible devices were set t... | https://github.com/pytorch/examples/issues/755 | open | [
"distributed"
] | 2020-04-19T01:28:55Z | 2022-03-09T20:52:47Z | 0 | inventor71 |
pytorch/examples | 754 | Why the kernel size of discriminator & generator is 4 in dcgan | I don't understand, is there any special role? or cited other model?
thanks！ | https://github.com/pytorch/examples/issues/754 | closed | [] | 2020-04-18T00:33:19Z | 2022-03-09T21:44:47Z | 2 | mltloveyy |
pytorch/examples | 753 | Imagenet data? | I'd like to use the imagenet example to train a resnet on the whole imagenet dataset... The problem is I can't seem to actually find the entire dataset anywhere (14 million images). The URLs link on the imagenet website is dead. Does anyone know the standard way to get the classification dataset? i.e. how were the pret... | https://github.com/pytorch/examples/issues/753 | closed | [] | 2020-04-18T00:01:24Z | 2021-08-11T23:05:25Z | 3 | justinblaber |
huggingface/neuralcoref | 250 | How to improve processing speed? | Hi.
Could you give me some information about how to tune the parameters to make processing faster, even at the expense of accuracy?
How much impact does the `greedyness` parameter have on speed?
Thanks! | https://github.com/huggingface/neuralcoref/issues/250 | closed | [
"question",
"wontfix",
"perf / speed"
] | 2020-04-17T16:32:08Z | 2022-01-09T04:06:48Z | null | murphd40 |
pytorch/examples | 751 | Example of MNIST using RNN | Hi @osalpekar ,
I would like to implement an example of MNIST using RNN.
**Motivation:** Create pytorch example similar to Official Tensorflow Keras RNN example using MNIST [here](https://www.tensorflow.org/guide/keras/rnn)
I have written and tested the code by modifying following example on MNIST [here](https... | https://github.com/pytorch/examples/issues/751 | closed | [] | 2020-04-16T11:52:49Z | 2022-03-10T00:30:41Z | 6 | rakesh-malviya |
pytorch/vision | 2,109 | development plan of "functional_tensor" | ## ❓ Questions and Help
Hi torchvision team,
This is Nic from NVIDIA, thanks for sharing your great work on data processing solutions!
1. I saw you developed "functional_tensor.py" to support Tensor type data but didn't find where it is used in transforms, may I know the reason?
2. And what's your future plan o... | https://github.com/pytorch/vision/issues/2109 | closed | [
"question",
"module: transforms"
] | 2020-04-16T02:10:03Z | 2020-10-21T08:23:16Z | null | Nic-Ma |
pytorch/vision | 2,108 | Not getting proper mask as instance. | Hi guys
Use pretrained weights=yes
no. of epoch=400
no. of class=1
At the time of prediction i am not getting individual masks for individual object. i am getting some extra mask but those are empty or partial . what can be the reason? | https://github.com/pytorch/vision/issues/2108 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-04-15T11:41:30Z | 2020-04-15T15:11:43Z | null | vivekdeepquanty |
pytorch/vision | 2,106 | I can't load mobilenet under version 0.5.0 | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
Steps to reproduce the behavior:
1.a =models.mobilenet()
<!-- If you have a code sample, error messages, stack traces, please provide it here as well -->
Traceback (most recent call last):
File "<stdin>", line 1, i... | https://github.com/pytorch/vision/issues/2106 | closed | [
"question",
"module: models",
"topic: classification"
] | 2020-04-15T06:08:59Z | 2020-04-15T10:04:09Z | null | lunasdejavu |
pytorch/pytorch | 36,644 | I had build pytourch from source. But how to install after making a build? | ## ❓ 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/36644 | closed | [] | 2020-04-15T06:04:05Z | 2020-04-18T05:34:15Z | null | tnavadiya |
pytorch/vision | 2,103 | size -> size() ? | traceback
```
Traceback (most recent call last):
File "/Users/maksim/Library/Application Support/JetBrains/Toolbox/apps/PyCharm-P/ch-0/193.6911.25/PyCharm.app/Contents/plugins/python/helpers/pydev/_pydevd_bundle/pydevd_exec2.py", line 3, in Exec
exec(exp, global_vars, local_vars)
File "<string>", line 3,... | https://github.com/pytorch/vision/issues/2103 | closed | [
"question",
"module: transforms"
] | 2020-04-14T14:15:57Z | 2020-04-14T15:09:30Z | null | makslevental |
pytorch/pytorch | 36,574 | how to remove ios dependency | I have written pytorch c++ app.
I clone pytorch code and build it as per guidelines in pytorch mobile
when i compile the app for x86_64 i am getting ios dependencies as below.
please help me avoid these ios errors. I want to run app in x86 linux pc.
-- The C compiler identification is GNU 6.5.0
-- The CXX compil... | https://github.com/pytorch/pytorch/issues/36574 | closed | [] | 2020-04-14T09:54:47Z | 2020-04-14T15:19:48Z | null | avanilkumar |
pytorch/vision | 2,101 | Where to download torchvision0.5.1 .whl files | Hi,
I would like to download the torchvision 0.5.1 version but I cannot find a source to download the .whl file.
It is not in pypi.org nor in pytorch.org, nor anaconda.org.
I have proxy issues on my computer so I can not use pip command, I need to download the .whl file first.
Can you help me by giving an address... | https://github.com/pytorch/vision/issues/2101 | closed | [
"question",
"topic: binaries"
] | 2020-04-14T09:12:26Z | 2020-04-14T13:32:57Z | null | 300LiterPropofol |
pytorch/pytorch | 36,554 | How to save sth in python-api pytorch, but load it in libtorch? | How can I save some tensor in python, but load it in libtorch:
I save tensor named piror using python, using the code:
```
torch.save(prior, 'prior.pth')
```
And I load the tensor in libtorch using C++, by the following code:
```
std::vector<torch::Tensor> tensorVec;
torch::load(tensorVec, "/app/model/prior.... | https://github.com/pytorch/pytorch/issues/36554 | closed | [
"oncall: jit",
"module: cpp",
"module: serialization"
] | 2020-04-14T02:14:09Z | 2020-04-14T14:31:07Z | null | Edwardmark |
pytorch/serve | 192 | Steps for how to preserve model store state across docker container restarts | When running torchserve in docker containers, provide steps for how to preserve state across container restarts | https://github.com/pytorch/serve/issues/192 | closed | [
"enhancement"
] | 2020-04-12T21:37:27Z | 2022-02-09T23:49:05Z | null | chauhang |
pytorch/serve | 191 | Add steps for how to run gpu docker container | Please add the steps for running GPU docker container in the docker readme. Steps should describe how to specify the gpus to be used on a multi-gpu machine
eg
`docker run --rm -it --gpus device=0 -p 8080:8080 -p 8081:8081 torchserve:v0.1-gpu-latest`
where device=0,1,2,3 selects GPUs indexed by ordinals 0,1,... | https://github.com/pytorch/serve/issues/191 | closed | [
"documentation"
] | 2020-04-12T20:05:15Z | 2020-06-09T23:47:47Z | null | chauhang |
pytorch/vision | 2,095 | Unable to reproduce Faster RCNN evaluation metrics on pascal voc 2010 for Object Detection | Hi Everyone,
I am training the **pretrained Faster RCNN model** on PASCAL VOC 2010 dataset for Object Detection by following this pyTorch finetuning tutorial: [pytorch.org/tutorials/intermediate/torchvision_tutorial.html](https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html)
```
model = torchvisi... | https://github.com/pytorch/vision/issues/2095 | closed | [
"question",
"module: reference scripts",
"topic: object detection"
] | 2020-04-12T03:26:34Z | 2020-04-25T00:31:08Z | null | kevalmorabia97 |
pytorch/pytorch | 36,384 | [quantization] how to quantize model which include not support to quantize layer | Hi, I have a model which include `prelu` layer, not support to quantize in current pytorch version, how to quantize this model for x86 CPU now? I try to define this model with the following format:
```python
self.convbn1 = QuantizableConvBNBlock(xxx) (has defined)
self.prelu = nn.PReLU()
self.convbn2 = Quantizab... | https://github.com/pytorch/pytorch/issues/36384 | closed | [] | 2020-04-10T13:24:18Z | 2020-04-13T04:19:47Z | null | zhangyongwei93 |
pytorch/vision | 2,089 | How to use torchvision.ops.nms in cpp? | How to use torchvision.ops.nms in cpp?
What should I include and how to call the funciton? Any doc? | https://github.com/pytorch/vision/issues/2089 | closed | [
"help wanted",
"module: documentation",
"module: c++ frontend"
] | 2020-04-10T09:57:56Z | 2021-02-08T13:19:28Z | null | Edwardmark |
pytorch/ELF | 165 | How to parse SGF files analyzed by ELF GO | Hi, I want to ask for more detailed information about SGF files provided in the Facebook elf-go tools.
https://ai.facebook.com/tools/elf-opengo
In the above link, SGF files analyzed by elf-go are provided and I want to analyze those files.
More specifically SGF files in the link below.
https://dl.fbaipublicfiles.... | https://github.com/pytorch/ELF/issues/165 | open | [] | 2020-04-10T08:32:52Z | 2020-04-10T08:32:52Z | null | mibastro |
pytorch/pytorch | 36,367 | how to ensure the quality of pytorch framework? | Hi, I am a postgrad student, and I am developing my own deep-learning framework inside my lab, I just curious about how you guys maintained your framwork?Besides unit tests, is there any methods that can guarantee qulity? | https://github.com/pytorch/pytorch/issues/36367 | closed | [] | 2020-04-10T05:02:35Z | 2020-04-13T04:14:45Z | null | MountainHil |
pytorch/ios-demo-app | 14 | how to quantize the mobilenet | would you please provide the steps to quantize the mobilenet?
https://github.com/pytorch/ios-demo-app/blob/master/PyTorchDemo/PyTorchDemo/ImageClassification/model/mobilenet_quantized.pt | https://github.com/pytorch/ios-demo-app/issues/14 | closed | [] | 2020-04-09T10:32:56Z | 2020-12-16T07:38:59Z | null | ronjian |
pytorch/vision | 2,083 | COCO AP of FPN with ResNet-50 backbone for object detection | Hi @fmassa, thanks for the great codes.
I am confused about COCO AP of `Faster R-CNN ResNet-50 FPN`,
from [Document](https://pytorch.org/docs/stable/torchvision/models.html) and #925 and [Source Code](https://github.com/pytorch/vision/blob/master/references/detection/train.py#L156,L173),
I guess that the model `Fast... | https://github.com/pytorch/vision/issues/2083 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-04-09T03:44:06Z | 2020-04-27T00:59:56Z | null | potterhsu |
pytorch/vision | 2,082 | Does vision cpp api support half cuda precision ? | Does vision cpp api support half cuda precision ?
I see that in the CMakelist.txt, it used flags as -D__CUDA_NO_HALF_OPERATORS_.
https://github.com/pytorch/vision/blob/master/CMakeLists.txt#L10 | https://github.com/pytorch/vision/issues/2082 | closed | [
"question",
"module: c++ frontend"
] | 2020-04-09T03:29:21Z | 2020-04-16T06:49:46Z | null | Edwardmark |
pytorch/vision | 2,079 | batch normalization affects model.eval's prediction | ## 🐛 Bug
I'm not entirely sure if I maybe do not miss something VERY obvious here, feel free to tell me if that is the case, however I think it might be a bug: Batch normalization should only affect the input during training. However, I find with an easy experiment, that this is not the case. Note that dropout is not... | https://github.com/pytorch/vision/issues/2079 | closed | [
"question"
] | 2020-04-08T19:27:33Z | 2020-04-09T10:09:54Z | null | dnns92 |
pytorch/TensorRT | 37 | Should the compiler check to see if modules are in eval mode? | https://github.com/pytorch/TensorRT/issues/37 | closed | [
"question",
"component: core"
] | 2020-04-07T22:03:59Z | 2020-05-28T20:33:41Z | null | narendasan | |
pytorch/pytorch | 36,132 | how to get cuda stream in torch 1.5? | I previous using this get cuda stream:
```
modulated_deformable_col2im_coord_cuda(THCState_getCurrentStream(state),
```
I found this API gone `THCState_getCurrentStream` without even a deprecation warning, what's the altinate of this API?
in torch 1.5?
cc @yf225 | https://github.com/pytorch/pytorch/issues/36132 | closed | [
"module: cpp",
"triaged"
] | 2020-04-07T06:59:27Z | 2020-04-09T03:21:48Z | null | lucasjinreal |
pytorch/text | 723 | How to use custom parsers in Torchtext | I would like to use custom parser like nltk in torchtext, how to do that?
| https://github.com/pytorch/text/issues/723 | closed | [] | 2020-04-05T07:56:22Z | 2022-06-24T00:15:05Z | null | nawshad |
pytorch/vision | 2,063 | Wrong lr schedule in semantic segmentation sample? | Hi! I am using the semantic segmentation reference training scripts and I think I found an issue with the lr scheduler.
In the documentation of [torch.optim.lr_scheduler.LambdaLR](https://pytorch.org/docs/stable/optim.html#torch.optim.lr_scheduler.LambdaLR) it says that the lambda function receives an integer param... | https://github.com/pytorch/vision/issues/2063 | closed | [
"question",
"module: reference scripts"
] | 2020-04-04T17:56:02Z | 2020-04-06T13:26:57Z | null | oscmansan |
pytorch/text | 722 | How to load a word embedding dictionary using torchtext | Hi,
I have tried to write that to a gensim word2vec format then load, but it throws error about string to float conversion. Is there a standard way to use custom pre-trained embedding (not created through gensim) which is a python dictionary to load using torchtext?
Thanks,
| https://github.com/pytorch/text/issues/722 | open | [] | 2020-04-04T01:05:08Z | 2020-04-06T15:57:47Z | null | nawshad |
pytorch/pytorch | 35,877 | How to use a network B to obtain a tensor and use it to replace the weight of a layer of network A, and this back propagation process will train A and B | ## ❓ Questions and Help
### How to use a network B to obtain a tensor and use it to replace the weight of a layer of network A and this backpropagation process will train A and B。
I make a code, which uses the weight of a layer of network A as input into network B. then B output a tensor and I use it to replace t... | https://github.com/pytorch/pytorch/issues/35877 | closed | [] | 2020-04-02T13:28:13Z | 2020-04-06T17:09:36Z | null | syiswell |
pytorch/tutorials | 924 | 5x5 kernel size instead of 3x3? | Hi, I just read this tutorial on your official website [NEURAL NETWORKS](https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html#sphx-glr-beginner-blitz-neural-networks-tutorial-py)
and think according to the image and the following code, maybe the kernel size of the first convolution layer should b... | https://github.com/pytorch/tutorials/issues/924 | closed | [] | 2020-04-02T08:36:52Z | 2021-04-26T20:13:45Z | 1 | sudo-bcli |
pytorch/TensorRT | 34 | What the advantages of TRTorch? | I used to use torch2trt to convert pytorch module, could you explain the advatage over torch2trt?
If the model contain op that tensorrt don't support, can trtorch convert it to engine?
Otherwise run the op supported by tensorrt with tensorrt, and other use libtorch?
I really appreciate for your great works, if... | https://github.com/pytorch/TensorRT/issues/34 | closed | [
"question"
] | 2020-04-01T10:07:45Z | 2020-05-28T20:33:19Z | null | dancingpipi |
pytorch/pytorch | 35,759 | how to do 3d data augmentation in parallel on the gpu? | I have a lot of 3d data and need to do various data augmentation. I want to do data augmentation in parallel on the gpu, but it seems that pytorch does not allow gpu operation in the dataloader. Is there any good way?
cc @ngimel @SsnL | https://github.com/pytorch/pytorch/issues/35759 | open | [
"module: dataloader",
"module: cuda",
"triaged"
] | 2020-03-31T15:25:22Z | 2020-04-01T13:23:34Z | null | chuxiang93 |
pytorch/tutorials | 918 | Saving the weights | After training for certain iterations. How to save the weights, Which can be used for further analysis | https://github.com/pytorch/tutorials/issues/918 | closed | [] | 2020-03-31T08:39:49Z | 2021-06-08T21:29:42Z | 1 | SRIKARHI |
pytorch/TensorRT | 28 | How can I build TRTorch without network? | as the title. | https://github.com/pytorch/TensorRT/issues/28 | closed | [
"question",
"component: build system"
] | 2020-03-30T08:15:49Z | 2020-04-24T17:29:30Z | null | dancingpipi |
pytorch/ELF | 163 | How to use ELF in Sabaki or gogui? | Could anybody help tell me how to use ELF OpenGo with Sabaki or gogui?
don't use weight of leelazero-elf. | https://github.com/pytorch/ELF/issues/163 | closed | [] | 2020-03-28T11:37:49Z | 2020-05-21T06:43:16Z | null | herogan2017 |
pytorch/vision | 2,021 | IndexError: list index out of range | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
Steps to reproduce the behavior:
1. Run the [TorchVision Object Detection Finetuning Tutorial](https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html).
2. For the model, I used the instructions for
> 2... | https://github.com/pytorch/vision/issues/2021 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-03-26T16:27:03Z | 2024-03-26T17:41:15Z | null | 17sarf |
pytorch/vision | 2,019 | How to plot masks of maskrcnn? | Hello,
Does someone know how to plot masks of maskrcnn? In the output of maskrcnn_inference in roi_heads.py mask_logits pass through sigmoid to become mask_probs and its output_size is generally very small to correctly see anything (28*28 by default, which is defined in the roi_align parameters). I tried to binarize... | https://github.com/pytorch/vision/issues/2019 | closed | [
"question",
"topic: object detection",
"module: utils"
] | 2020-03-26T15:19:47Z | 2021-05-06T13:27:06Z | null | leglandudu69 |
pytorch/pytorch | 35,372 | How to support single-process-multiple-devices in DistributedDataParallel other than CUDA device | Hi,
I am investigating to extend the DistributedDataParallel to other accelerator devices than CUDA devices.
Not only to support single-process-single-device but also to support the single-process-multiple-devices and multple-processes-multiple-devices.
There are a lot of CUDA dependency in the DistributedDataPa... | https://github.com/pytorch/pytorch/issues/35372 | open | [
"oncall: distributed"
] | 2020-03-25T08:52:08Z | 2021-06-04T13:57:34Z | null | JohnLLLL |
pytorch/tutorials | 905 | prune: model sparity increase,but inference time doesn't cut down | `prune.l1_unstructured(conv_module, name='weight', amount=0.8)<br>prune.remove(conv_module, 'weight')`
with these two function, I process all module with convolution,and their sparsity become 80%.
but the model inference time incease. Is it expected ?
and another question is that after prune,I save model with:
... | https://github.com/pytorch/tutorials/issues/905 | closed | [] | 2020-03-25T02:26:48Z | 2021-06-08T22:05:51Z | 1 | gyc-code |
huggingface/transformers | 3,424 | Where is the code of Bart fine-tuning?Thanks | https://github.com/huggingface/transformers/issues/3424 | closed | [] | 2020-03-25T01:54:34Z | 2020-04-16T15:03:10Z | null | qiunlp | |
pytorch/examples | 742 | No saved *.png in checkpoint in dcgan.cpp | In the README file of "DCGAN Example with the PyTorch C++ Frontend" it says that:
_The training script periodically generates image samples. Use the display_samples.py script situated in this folder to generate a plot image. For example:_
But the dcgan.cpp file just saves the model in *.pt format, doesnt save any... | https://github.com/pytorch/examples/issues/742 | open | [
"bug",
"help wanted"
] | 2020-03-24T15:15:32Z | 2023-04-20T20:59:19Z | 3 | hect1995 |
pytorch/vision | 2,007 | Learning rate become 0 | my lr was 0.0001
But after some epoch it become zero.
Epoch: [15] [ 0/209] eta: 0:03:06 lr: 0.000000 loss: 0.5737 (0.5737) loss_classifier: 0.0601 (0.0601) loss_box_reg: 0.0831 (0.0831) loss_mask: 0.4023 (0.4023) loss_objectness: 0.0062 (0.0062) loss_rpn_box_reg: 0.0221 (0.0221) time: 0.8938 data: 0.2... | https://github.com/pytorch/vision/issues/2007 | closed | [
"question",
"module: reference scripts",
"topic: object detection"
] | 2020-03-24T13:01:26Z | 2020-03-25T14:28:20Z | null | vivekdeepquanty |
pytorch/vision | 2,004 | Suspicious results | ## Questions about suspicious results ❓
I've trained MaskRCNN with a pre-trained ResNet50 to segment nuclei in immunofluorescence images. The results are really good, so thanks again for this terrific implementation.
However, I've noticed in some cases that an object (here a nucleus) might be cut in multiple smal... | https://github.com/pytorch/vision/issues/2004 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-03-23T22:38:10Z | 2020-03-24T18:18:58Z | null | FiReTiTi |
pytorch/FBGEMM | 328 | quantized matrix multiplication question | Could you please point me to a quantized matrix-matrix multiplication example in the test or benchmark directory ? That is to say,
C = A * B // A, B, C are single-precision floating-point matrices
C' = dequant (quant(A) * quant (B) ) // quant(A) and quant(B) are int8 matrices
Thanks | https://github.com/pytorch/FBGEMM/issues/328 | closed | [
"question"
] | 2020-03-23T04:03:40Z | 2022-03-18T06:43:26Z | null | jinz2014 |
pytorch/examples | 740 | Question: How to cite your work | Hi,
I am writing a paper that modifies the codes for the example of MNIST dataset in your repository. May I ask how you would prefer that I cite your work?
Thank you.
| https://github.com/pytorch/examples/issues/740 | closed | [] | 2020-03-22T21:30:47Z | 2020-04-11T18:13:40Z | null | hql5143 |
pytorch/pytorch | 35,159 | How to implement bmm between two sparse tensor | ## 🚀 Feature
<!-- A clear and concise description of the feature proposal -->
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->
## Pitch
... | https://github.com/pytorch/pytorch/issues/35159 | closed | [] | 2020-03-21T16:57:58Z | 2020-03-23T18:46:54Z | null | xhcgit |
pytorch/pytorch | 35,153 | How to impove conv2d performance in cpu mode | ## ❓ 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/35153 | closed | [] | 2020-03-21T07:33:23Z | 2020-03-23T09:04:07Z | null | daydayfun |
pytorch/examples | 738 | Neural Style fails if style image has an alpha channel | In `fast_neural_style/neural_style/neural_style.py` line 55, if the style image has an alpha channel, then the generated tensor has 4 dimensions and this causes `utils.normalize_batch` to throw due to a tensor dimension mismatch a few lines down.
I've _fixed_ this by appending `.convert('RGB')` so line 55 now reads
... | https://github.com/pytorch/examples/issues/738 | open | [
"help wanted"
] | 2020-03-20T17:00:20Z | 2022-03-09T21:48:53Z | 0 | hackf5 |
pytorch/tutorials | 899 | How to apply torch.quantization.quantize_dynamic for conv2d layer? | I am working on quantizing resnet50 model. I tried to use the following command.
```
quantized_model = torch.quantization.quantize_dynamic(
resnet18, {torch.nn.Conv2d,torch.nn.Linear}, dtype=torch.qint8
)
```
But only the linear layer has quaantized but not the convolutional layer. Can anyone help me how ... | https://github.com/pytorch/tutorials/issues/899 | open | [
"quantization"
] | 2020-03-20T09:02:12Z | 2021-07-30T20:28:16Z | null | Midhilesh29 |
pytorch/vision | 1,999 | Request Mobilenet fpn | ## 🚀 Feature
Hi I want to write mobilenet fpn.
## Motivation
Improve MaskRCNN speed and accuracy.
## Pitch
<!-- A clear and concise description of what you want to happen. -->
## Alternatives
<!-- A clear and concise description of any alternative solutions or features you've considered, if any. -->
... | https://github.com/pytorch/vision/issues/1999 | closed | [
"question",
"module: models",
"topic: object detection",
"topic: feature extraction"
] | 2020-03-20T08:34:56Z | 2020-11-30T07:22:50Z | null | finnickniu |
pytorch/android-demo-app | 68 | How to create a new nlp model? | Thanks for the project.
The example successful run on Android.
However, I want to create my our model for other nlp tasks.
So, can you show me the way to create the nlp model? Or the source of creating model-reddit16-f140225004_2.pt1?
| https://github.com/pytorch/android-demo-app/issues/68 | open | [] | 2020-03-20T07:45:01Z | 2020-05-20T01:29:55Z | null | anbo724 |
pytorch/vision | 1,986 | Training scheme of the pretrained imagenet models? | Hi,
Are the pretrained models reported by torchvision using the same hyper-parameters as https://github.com/pytorch/examples/blob/master/imagenet/main.py? I used the default hyper-parameters to train mobilenet_v2, but the results were much worse than reported.
Thanks
| https://github.com/pytorch/vision/issues/1986 | closed | [
"question",
"module: models",
"module: reference scripts"
] | 2020-03-15T09:16:29Z | 2020-03-19T18:43:05Z | null | tzm1003306213 |
huggingface/transformers | 3,283 | What is the most effective way to use BERT , ROBERTA , GPT-2 architectures as frozen feature extractors ? | We use pretrained self-supervised learning (SSL) models for NLP as feature extractors for downstream tasks like sentiment analysis. In most of such cases, we add a simple new classification layer and **fine-tune the whole model**. With the SSL models getting bigger and the amount of unsupervised training data is huge ... | https://github.com/huggingface/transformers/issues/3283 | closed | [
"Discussion",
"wontfix"
] | 2020-03-15T09:06:20Z | 2020-06-02T09:15:03Z | null | shamanez |
pytorch/pytorch | 34,775 | How to do a split operation for dataset, not random split. I mean just like dataset[0:100] and dataset[100:200]] | How to do a split operation for dataset, not random split. I mean just like dataset[0:100] and dataset[100:200]] | https://github.com/pytorch/pytorch/issues/34775 | closed | [] | 2020-03-15T02:28:33Z | 2020-03-15T02:37:14Z | null | HymEric |
pytorch/pytorch | 34,773 | How to write codes to support second order derivative (double backward) for custom CUDA extension | Hi,
I am lost in figuring out how to compute second order derivatives for custom CUDA extensions after reading the [Extend Torch With Cpp and CUDA](https://pytorch.org/tutorials/advanced/cpp_extension.html).
Could somebody tell me how to do this? Many thanks! | https://github.com/pytorch/pytorch/issues/34773 | closed | [] | 2020-03-15T01:17:24Z | 2020-03-18T15:03:39Z | null | xieshuqin |
pytorch/pytorch | 34,720 | Where is dd.h ? |
```console
....../pytorch/third_party/sleef/src/quad/sleefsimdqp.c:111:10: fatal error: dd.h: No such file or directory
#include "dd.h"
^~~~~~
compilation terminated.
sleef/src/quad/CMakeFiles/sleefquadavx512f_obj.dir/build.make:70: recipe for target 'sleef/src/quad/CMakeFiles/sleefquadavx512f_obj.dir... | https://github.com/pytorch/pytorch/issues/34720 | closed | [] | 2020-03-13T17:31:27Z | 2020-03-14T00:15:45Z | null | jiapei100 |
pytorch/TensorRT | 13 | RFC: Converter API | Right now the Converter API expects lambdas of the type: `(ConversionCtx* ctx, torch::jit::Node* n, kwargs* args) -> bool`
Questions:
1. The bool return is a quick way to signal success or failure in converting the op. This could be something more descriptive
2. Right now it is the responsibility of converters t... | https://github.com/pytorch/TensorRT/issues/13 | closed | [
"question",
"priority: low",
"component: converters",
"No Activity"
] | 2020-03-13T01:07:55Z | 2020-06-10T00:02:51Z | null | narendasan |
pytorch/TensorRT | 7 | RFC: How should engines be integrated into the JIT Interpreter? | Right now as a side effect of registering an engine in the execution manager, a new op specifically for the engine is registered in the op registry. For instance running a ResNet backbone will be implemented with a new op with schema `trt::execute_engine_55d1de7b7b50(Tensor in_input_38) -> (Tensor)`. We could also have... | https://github.com/pytorch/TensorRT/issues/7 | closed | [
"question",
"component: execution"
] | 2020-03-11T20:08:12Z | 2020-05-28T20:34:13Z | null | narendasan |
pytorch/TensorRT | 6 | Verify that engine runs in the correct stream | This is the stream that is used right now
`c10::cuda::CUDAStream stream = c10::cuda::getCurrentCUDAStream(inputs[0].device().index());`
Will this always be correct? What are the cases where this will give an incorrect stream? | https://github.com/pytorch/TensorRT/issues/6 | closed | [
"question",
"component: execution",
"No Activity"
] | 2020-03-11T19:59:20Z | 2020-07-09T00:17:53Z | null | narendasan |
pytorch/vision | 1,964 | The simplest way to use checkpoint to maximize the GPU memory usage | ## ❓ The simplest way to use checkpoint to maximize the GPU memory usage
Hi, guys,
I am learning about how to use the checkpoint to optimize the GPU memory usage, and I see there is a example in [densenet.py](https://github.com/pytorch/vision/blob/216035315185edec747dca8879d7197e7fb22c7d/torchvision/models/densenet... | https://github.com/pytorch/vision/issues/1964 | closed | [
"question",
"module: models"
] | 2020-03-11T10:37:12Z | 2020-03-12T18:03:53Z | null | songyuc |
huggingface/neuralcoref | 248 | German Training not working | Hi we tried to train your model for german. We used Glove in german but it doesnt work.
How does the binary static_word_embeddings.npy needs to be structured?
| https://github.com/huggingface/neuralcoref/issues/248 | closed | [
"question",
"wontfix",
"training",
"feat / coref"
] | 2020-03-11T10:25:36Z | 2022-01-09T04:06:40Z | null | SimonF89 |
huggingface/transformers | 3,205 | where is the position emdeddings in bert for training a new model from scratch ? | # ❓ Questions & Help
<!-- The GitHub issue tracker is primarly intended for bugs, feature requests,
new models and benchmarks, and migration questions. For all other questions,
we direct you to Stack Overflow (SO) where a whole community of PyTorch and
Tensorflow enthusiast can help you out. Make s... | https://github.com/huggingface/transformers/issues/3205 | closed | [
"wontfix"
] | 2020-03-10T13:35:16Z | 2020-05-16T17:44:04Z | null | 2hip3ng |
huggingface/transformers | 3,193 | Where is the default download address for pre-trained weight | # ❓ Questions & Help
```
from transformers import DistilBertTokenizer, DistilBertModel
tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased')
model = DistilBertModel.from_pretrained('distilbert-base-uncased')
```
I can't find the downloaded file.
Thanks for your help | https://github.com/huggingface/transformers/issues/3193 | closed | [] | 2020-03-09T17:35:47Z | 2020-03-09T17:52:49Z | null | 649459021 |
pytorch/vision | 1,952 | FastRCNNPredictor doesn't return prediction in evaluation | ## 🐛 Bug
Dear all,
I am doing object detection in an image with one class. After training, `FastRCNNPredictor` does not return anything in validation mode. I have followed this official tutorial https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html.
Thanks.
## To Reproduce
Steps to reprod... | https://github.com/pytorch/vision/issues/1952 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-03-09T09:27:19Z | 2024-12-25T07:03:50Z | null | FrancescoSaverioZuppichini |
pytorch/pytorch | 34,437 | How to quantize CNN in pytorch 1.3? | I tried to quantize CNN refer to https://pytorch.org/tutorials/advanced/dynamic_quantization_tutorial.html
but I got this error:
RuntimeError: Didn't find engine for operation quantized::linear_prepack NoQEngine
How can I solve it?
my environment:
pytorch1.3.0+cpu
windows 10
python3.7 | https://github.com/pytorch/pytorch/issues/34437 | closed | [] | 2020-03-08T03:12:25Z | 2020-03-08T06:41:59Z | null | zhanyike |
pytorch/vision | 1,944 | Use the pretrained model of ResNet50 on ImageNet, the val acc is 4% less than reported. | As the title mentioned, anyone have met the same issue?Thx! | https://github.com/pytorch/vision/issues/1944 | closed | [
"question",
"awaiting response",
"needs discussion",
"module: models",
"topic: classification"
] | 2020-03-05T14:17:18Z | 2020-10-21T08:25:11Z | null | liu-zhenhua |
pytorch/examples | 726 | How can I sue freeze_support() in the train.py? | https://github.com/pytorch/examples/issues/726 | closed | [] | 2020-03-05T03:00:07Z | 2020-03-05T03:01:18Z | 0 | K-M-Ibrahim-Khalilullah | |
pytorch/tutorials | 873 | Regarding torch.utils.data.DataLoader and batch_size | Hi all the high-level engineers!
I am very new to pytorch and even to pythone.
Nonetheless, I am trying to understand pytorch by the documentation of the tutorial of pytorch.
Now I am going through TRAINING A CLASSIFIER using dataset, CIFAR10.
Code Link: https://pytorch.org/tutorials/beginner/blitz/cifar10_tut... | https://github.com/pytorch/tutorials/issues/873 | closed | [] | 2020-03-03T18:48:08Z | 2021-07-30T21:15:54Z | 2 | jjong2ya |
pytorch/vision | 1,934 | torchvision.models.detection.fasterrcnn_resnet50_fpn has loss_rpn_box_reg exploding to nan after evaluation | ## 🐛 Bug / Misuse?
I'm attempting to use `torchvision.models.detection.fasterrcnn_resnet50_fpn` on a custom dataset, following along with the [Detection Finetuning Tutorial](https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html) where applicable.
However, I consistently have an issue where the loss ... | https://github.com/pytorch/vision/issues/1934 | closed | [
"question",
"module: models",
"module: reference scripts",
"topic: object detection"
] | 2020-03-03T16:40:50Z | 2020-03-24T15:43:09Z | null | dsandii |
pytorch/vision | 1,953 | roi_pool is seem to be different from which in FasterRCNN | ```python
import torchvision
import torch
a = torch.linspace(1,8*8,8*8).reshape(1, 1, 8, 8)
boxes = torch.tensor([[0,0,3,3]],dtype=a.dtype)
out = torchvision.ops.roi_pool(a, boxes, output_size=(2,2))
```
i expect that out would be [[10 12],[26 28]]
but it's [[26 26],[26 28]]
and, i try more
```python
impor... | https://github.com/pytorch/vision/issues/1953 | closed | [
"question",
"module: ops"
] | 2020-03-03T11:16:38Z | 2020-03-10T12:34:38Z | null | SeniorCtrlPlayer |
pytorch/vision | 1,933 | error | Sorry to bother you here,I saw your comment at maskrcnn-benchmark, and I encountered the following error, even using boxlist[[0]] is the same error, can you help me please? Thank you!
| https://github.com/pytorch/vision/issues/1933 | closed | [
"invalid",
"question"
] | 2020-03-03T09:19:16Z | 2020-03-10T14:47:23Z | null | buxpeng |
pytorch/vision | 1,930 | Summary of TorchScript and ONNX support | Hi,
Is there a summary somewhere of the current state of support for TorchScript and ONNX by the models in this repo? A complete summary would include the version of support for both CPU and GPU.
I'm mostly interested in FasterRCNN but I got confused looking around the related issues. I suppose a general summary co... | https://github.com/pytorch/vision/issues/1930 | closed | [
"question",
"module: models",
"module: onnx",
"torchscript"
] | 2020-03-02T22:30:31Z | 2020-03-10T16:12:12Z | null | MLaurenceFournier |
pytorch/vision | 1,926 | Support for different pooling options with Faster R-CNN | I've been trying to setup a Faster R-CNN network to detect lesions on CT images.
Therefor I wanted to use the FasterRCNN class which is provided by torchvision. However, I've noticed that the framework is very great except for the supported pooling (roi_box_pooling). The pooling only allows a [MultiScaleRoIAlign](ht... | https://github.com/pytorch/vision/issues/1926 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-03-01T16:31:14Z | 2020-03-10T14:57:42Z | null | FHellmann |
pytorch/vision | 1,929 | cannot use group norm in torchvision API | ## 🐛 Bug
Cannot use nn.GroupNorm for "norm_layer" in torchvision.models.resnet50. However, nn.GroupNorm is supposed to be OK since there are codes to initialize the weights of nn.GroupNorm in the resnet50 file.
## To Reproduce
```
import torch.nn as nn
import torchvision
net = torchvision.models.resnet50(no... | https://github.com/pytorch/vision/issues/1929 | closed | [
"question",
"module: models",
"topic: classification"
] | 2020-03-01T11:32:15Z | 2020-03-04T12:57:31Z | null | hukkai |
pytorch/vision | 1,925 | module 'torchvision' has no attribute '__version__' [0.4.2] | ## 🐛 Bug
<!-- A clear and concise description of what the bug is. -->
## To Reproduce
Steps to reproduce the behavior:
1. `print("Torchvision Version: ",torchvision.__version__)`
<!-- If you have a code sample, error messages, stack traces, please provide it here as well -->
AttributeError: module 't... | https://github.com/pytorch/vision/issues/1925 | closed | [
"question",
"topic: binaries"
] | 2020-03-01T09:37:32Z | 2020-03-04T11:59:03Z | null | duskybomb |
pytorch/xla | 1,708 | How to properly clip gradients with data parallel training? | The XLA API recommends that we call `xm.optimizer_step(optimizer)`, which [allreduces the gradients and performs the optimization step](https://github.com/pytorch/xla/blob/ffde50813f01b57d6e782a63aac6453bfa12ffdf/torch_xla/core/xla_model.py#L429-L455).
Gradient clipping is typically performed on the reduced gradient... | https://github.com/pytorch/xla/issues/1708 | closed | [] | 2020-02-29T14:13:03Z | 2023-08-31T12:27:07Z | null | myleott |
pytorch/android-demo-app | 62 | How to apply quantization to models? | The iOS demo has to set a quantization backend before loading the model, is this operation necessary on Android? and how? | https://github.com/pytorch/android-demo-app/issues/62 | open | [] | 2020-02-27T21:54:17Z | 2020-05-15T08:47:13Z | null | himajin2045 |
pytorch/pytorch | 33,809 | How to release the gpu memory after use interpolate？ | ## ❓ 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/33809 | closed | [] | 2020-02-26T10:04:47Z | 2020-02-26T18:21:30Z | null | lyc6749 |
pytorch/vision | 1,912 | A weird problem: "No module named 'torchvision.models'; 'torchvision' is not a package" | https://github.com/pytorch/vision/issues/1912 | closed | [
"question"
] | 2020-02-24T03:09:41Z | 2020-02-26T02:48:55Z | null | TengFeiHan0 | |
pytorch/pytorch | 33,673 | python int type how to convert to at::IntArrayRef | ## ❓ Questions and Help
When I write C++/CUDA extension, I use at::IntArrayRef in my C++ source code. But I build custom layer using python, I find that I do not use my C++ extension. Because int of python does not convert to at::IntArrayRef of C++. How to solve this problem?
### Please note that this issue tracker... | https://github.com/pytorch/pytorch/issues/33673 | closed | [] | 2020-02-23T16:56:54Z | 2020-02-23T19:34:10Z | null | ghost |
pytorch/vision | 1,904 | DenseNet generated image embeddings have very small variance and are sparse | I'm working with pretrained DenseNet161 model to learn and generate image embeddings.
I consider output of adaptive_avg_pool2d layer image embedding. I noticed that it's very sparse and has small variance. If we consider a batch of 64 images, variance of the same feature over all images in a batch is ~2e-6. Also the f... | https://github.com/pytorch/vision/issues/1904 | closed | [
"question",
"awaiting response",
"module: models",
"topic: classification"
] | 2020-02-21T22:44:45Z | 2021-01-06T17:42:28Z | null | zlenyk |
pytorch/xla | 1,675 | What is "Lowering" referring to? | ## ❓ Questions and Help
Sorry for the stupid question, but what is meant by "Lowering", as it applies to LowerContext class, which appears to convert IR->XLA?
such as:
```cpp
XlaOpVector LoweringContext::LowerNode(const Node* node) {
...
}
``` | https://github.com/pytorch/xla/issues/1675 | closed | [] | 2020-02-21T22:29:36Z | 2020-02-21T23:48:31Z | null | cjolivier01 |
pytorch/xla | 1,672 | How to join a model from distributed replicas? | ## ❓ Questions and Help
From what I understand, a deepcopy model replica is deployed on each XLA device and then individually trained on non-overlapping data (via ParallelLoader). Each model can then be also evaluated via the same approach.
I would like to save a model for production use. But now I assume I have ... | https://github.com/pytorch/xla/issues/1672 | closed | [] | 2020-02-21T04:45:16Z | 2020-02-21T05:56:23Z | null | AVancans |
pytorch/vision | 1,901 | DeeplapV3 accuracy result for person | Can I know the accuracy of the Deeplap v3-Resnet-101 pre-trained model evaluated on COCO val2017 dataset
for **person** class only?
I searched about it but I did not find the accuracy for each class? | https://github.com/pytorch/vision/issues/1901 | closed | [
"question",
"module: models",
"topic: semantic segmentation"
] | 2020-02-20T12:56:41Z | 2020-02-25T15:50:39Z | null | muna-cs |
pytorch/vision | 1,900 | Why the inplace in the ReLU in deeplabv3.py is not set True? | Hi guys,
I am reproducing DeepLabV3+ these days, and I learning about the code of [deeplabv3.py](https://github.com/pytorch/vision/blob/2f64dd90e14fe5463b4e5bd152d56e4a6f0419de/torchvision/models/segmentation/deeplabv3.py).
And I found that some ReLUs in this code don't use "inplace = True", like,
```python
def __i... | https://github.com/pytorch/vision/issues/1900 | closed | [
"question",
"module: models",
"topic: semantic segmentation"
] | 2020-02-20T06:20:33Z | 2020-02-25T15:52:10Z | null | songyuc |
huggingface/blog | 5 | Where is the CoNLL-2003 formatted Esperanto dataset ref. in the tutorial? | > Using a dataset of annotated Esperanto POS tags formatted in the CoNLL-2003 format
Where is this dataset?
Thanks! | https://github.com/huggingface/blog/issues/5 | open | [] | 2020-02-20T04:26:54Z | 2020-03-04T16:30:32Z | null | ohmeow |
pytorch/vision | 1,896 | How can I get the intermediate layers if I used the nn.Sequential to make a Module | Hi guys,
I am reproducing the DeepLabV3+ these days,
and I write a Module like this,
```python
self.entry_flow = nn.Sequential()
# entry_flow的第一个卷积层
self.entry_flow.add_module("conv1", nn.Conv2d(3, 32, 3, 2, 0, bias=False))
self.entry_flow.add_module("bn_relu1", BNReLU(32))
... | https://github.com/pytorch/vision/issues/1896 | closed | [
"question",
"module: models",
"topic: feature extraction"
] | 2020-02-18T04:14:26Z | 2020-02-25T15:55:06Z | null | songyuc |
pytorch/tutorials | 853 | happy to contribute my intuitive visual guide to how convolutions and transposed convenient work | Unlike fully connected linear layers, convolutions layers need a bit of work to calculate the size of the data as it passes through them.
There aren't many easy to understand guides on how convolution works. Many report that transposed convolution is particularly difficult to understand.
As part of my upcoming b... | https://github.com/pytorch/tutorials/issues/853 | open | [] | 2020-02-17T17:46:06Z | 2020-02-20T13:56:34Z | null | makeyourownneuralnetwork |
pytorch/vision | 1,895 | It seems the IntermediateLayerGetter will not use the forward function in the original model | Hi guys,
I am working on reproducing DeepLabV3+ model these days,
and I need to get some intermediate layers from the backbone.
And I found a class of `IntermediateLayerGetter` with similar effect.
When I read the code, I found that in the `forward` function of `IntermediateLayerGetter`, that the `IntermediateLayer... | https://github.com/pytorch/vision/issues/1895 | closed | [
"question",
"module: models",
"topic: feature extraction"
] | 2020-02-17T12:02:27Z | 2020-02-25T15:22:30Z | null | songyuc |
pytorch/vision | 1,894 | Can I use the IntermediateLayerGetter function for my customized backbone network? | Hi, guys,
I am reimplementing DeepLabV3+ model these days,
and I need to return some of the intermediate layers from my customized backbone network,
and I found the `IntermediateLayerGetter` function with the similar effect.
So I am wondering if I can use the `IntermediateLayerGetter` function to get the intermed... | https://github.com/pytorch/vision/issues/1894 | closed | [
"question",
"module: models",
"topic: feature extraction"
] | 2020-02-17T11:33:10Z | 2020-02-27T19:40:34Z | null | songyuc |
pytorch/vision | 1,892 | How to look at bbox predictions after training? | Hi, I finetuned a pretrained Faster RCNN model.
I used the instance segmentation Mask RCNN pytorch tutorial as a guide.
I finished training and can't figure out how to look at bbox predictions.
For segmentation prediction, the guide used the following to display the mask
Image.fromarray(prediction[0]['masks'][0... | https://github.com/pytorch/vision/issues/1892 | closed | [
"question",
"module: models",
"topic: object detection"
] | 2020-02-17T04:36:23Z | 2020-02-25T15:45:56Z | null | alareza619 |
pytorch/vision | 1,891 | Pre-trained segmentation models can't load state dicts | <img width="1024" alt="Screen Shot 2020-02-16 at 7 51 57 PM" src="https://user-images.githubusercontent.com/37163544/74622526-07b99080-50f6-11ea-8483-bc891aeb5f3a.png">
| https://github.com/pytorch/vision/issues/1891 | closed | [
"question",
"module: models",
"topic: semantic segmentation"
] | 2020-02-17T03:53:49Z | 2020-02-27T19:34:26Z | null | devanshuDesai |
pytorch/vision | 1,888 | convert_to_coco_api so slow | i found that it costs about 20min for the convert_to_coco_api to process 670 images when i evaluate my model per epoch. But WHY so slow? | https://github.com/pytorch/vision/issues/1888 | closed | [
"question",
"module: reference scripts",
"topic: object detection"
] | 2020-02-15T05:14:15Z | 2020-02-27T19:43:04Z | null | cl2227619761 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.