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I'm experimenting with getting the ONNX model (trained to classify MNIST digits) to work on K210 with all the nice recent updates in nncase and found that all the ops imported seems to work fine durin…
aclex updated
3 years ago
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### 🐛 Describe the bug
```python
import torch
import torch.nn.functional as F
x = torch.randn(1, 2, 3)
F.pad(x, [0, 0, 0, 0, 1, 1], mode='reflect')
```
```python
File "D:\Anaconda\envs\p…
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## 🐛 Bug
`torch.linalg.eig` segfaults if NaN is in tensor when using mkl
## To Reproduce
Steps to reproduce the behavior:
1. Run torch.linalg.eig on a tensor with `float('nan')` in at leas…
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## 🐛 Bug
When I use the SummaryWriter() function from torch.utils.tensorboard to create Tensorboard logs of the hyper-parameters and metrics (scalar), as well as the losses (image plot), and the mo…
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I use a module with output of 0-dim tensor in the model class.
When the batch_dim is not None, an IndexError will be raised.
For example:
```python
import torch
import torch.nn as nn
from to…
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## Issue description
Build of `python39Packages.sentry-sdk` failed on x86_64-linux as of 891d0226de6e281422a8d0d99814925fd7aed8d0. This is currently breaking python3Packages.wandb.
```
error: builde…
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I try your code for resnet152
```
import torchvision
from torchinfo import summary
model = torchvision.models.resnet152(pretrained=False)
summary(model, (1, 3, 224, 224), depth=3)
```
But…
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I have such forward input arguments: forward(self, dict, tensor)
```
b = 16
summary(model, input_data=[{'512': torch.randn(b,1,256,256)}, torch.randn(b,1,256,256).long()])
```
Could you please ad…
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I'm experiencing the following error after calling [torchinfo.summary](https://github.com/tyleryep/torchinfo):
```
ERROR:neptune.new.internal.operation_processors.async_operation_processor:Error occ…
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## Problem
For AdaBins architecture (https://github.com/shariqfarooq123/AdaBins), `summary(model,depth=2)` gives
```
=================================================================
Layer (type:d…