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fastdebug-0.1.4
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مشاهده بیشترتوضیحات
A library that improves the debugging messages for Pytorch and fastai
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fastdebug-0.1.4 |
| نام | fastdebug |
| نسخه کتابخانه | 0.1.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Zachary Mueller |
| ایمیل نویسنده | muellerzr@gmail.com |
| آدرس صفحه اصلی | https://github.com/muellerzr/fastdebug/tree/master/ |
| آدرس اینترنتی | https://pypi.org/project/fastdebug/ |
| مجوز | Apache Software License 2.0 |
# fastdebug
> A helpful library for improving torch and fastai errors
## Install
`pip install fastdebug`
## How to use
`fastdebug` is designed around improving the quality of life when dealing with Pytorch and fastai errors, while also including some new sanity checks (fastai only)
### Pytorch
Pytorch now has:
* `device_error`
* `layer_error`
Both can be imported with:
```python
from fastdebug.error.torch import device_error, layer_error
```
`device_error` prints out a much more readable error for when two tensors aren't on the same device:
```python
inp = torch.rand().cuda()
model = model.cpu()
try:
_ = model(inp)
except Exception as e:
device_error(e, 'Input type', 'Model weights')
```
And our new log:
```bash
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-28-981e0ace9c38> in <module>()
2 model(x)
3 except Exception as e:
----> 4 device_error(e, 'Input type', 'Model weights')
10 frames
/usr/local/lib/python3.7/dist-packages/torch/tensor.py in __torch_function__(cls, func, types, args, kwargs)
993
994 with _C.DisableTorchFunction():
--> 995 ret = func(*args, **kwargs)
996 return _convert(ret, cls)
997
RuntimeError: Mismatch between weight types
Input type has type: (torch.cuda.FloatTensor)
Model weights have type: (torch.FloatTensor)
Both should be the same.
```
And with `layer_error`, if there is a shape mismatch it will attempt to find the right layer it was at:
```python
inp = torch.rand(5,2, 3)
try:
m(inp)
except Exception as e:
layer_error(e, m)
```
```python
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-84-d4ab91131841> in <module>()
3 m(inp)
4 except Exception as e:
----> 5 layer_error(e, m)
<ipython-input-83-ca2dc02cfff4> in layer_error(e, model)
8 i, layer = get_layer_by_shape(model, shape)
9 e.args = [f'Size mismatch between input tensors and what the model expects\n\n{args}\n\tat layer {i}: {layer}']
---> 10 raise e
<ipython-input-84-d4ab91131841> in <module>()
1 inp = torch.rand(5,2, 3)
2 try:
----> 3 m(inp)
4 except Exception as e:
5 layer_error(e, m)
/mnt/d/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
/mnt/d/lib/python3.7/site-packages/torch/nn/modules/container.py in forward(self, input)
115 def forward(self, input):
116 for module in self:
--> 117 input = module(input)
118 return input
119
/mnt/d/lib/python3.7/site-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
725 result = self._slow_forward(*input, **kwargs)
726 else:
--> 727 result = self.forward(*input, **kwargs)
728 for hook in itertools.chain(
729 _global_forward_hooks.values(),
/mnt/d/lib/python3.7/site-packages/torch/nn/modules/conv.py in forward(self, input)
421
422 def forward(self, input: Tensor) -> Tensor:
--> 423 return self._conv_forward(input, self.weight)
424
425 class Conv3d(_ConvNd):
/mnt/d/lib/python3.7/site-packages/torch/nn/modules/conv.py in _conv_forward(self, input, weight)
418 _pair(0), self.dilation, self.groups)
419 return F.conv2d(input, weight, self.bias, self.stride,
--> 420 self.padding, self.dilation, self.groups)
421
422 def forward(self, input: Tensor) -> Tensor:
RuntimeError: Size mismatch between input tensors and what the model expects
Model expected 4-dimensional input for 4-dimensional weight [3, 3, 1, 1], but got 3-dimensional input of size [5, 2, 3] instead
at layer 1: Conv2d(3, 3, kernel_size=(1, 1), stride=(1, 1))
```
### fastai
Along with the additions above (and are used during `fit`), fastai now has a `Learner.sanity_check` function, which allows you to quickly perform a basic check to ensure that your call to `fit` won't raise any exceptions. They are performed on the CPU for a partial epoch to make sure that `CUDA` device-assist errors can be preemptively found.
To use it simply do:
```python
from fastdebug.fastai import *
from fastai.vision.all import *
learn = Learner(...)
learn.sanity_check()
```
This is also now an argument in `Learner`, set to `False` by default, so that after making your `Learner` a quick check is ensured.
```python
learn = Learner(..., sanity_check=True)
```
نیازمندی
| مقدار | نام |
|---|---|
| - | pip |
| - | packaging |
| >=1.7.0 | torch |
| >=2.0.0 | fastai |
| >=5.3.0 | inflect |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl fastdebug-0.1.4:
pip install fastdebug-0.1.4.whl
نصب پکیج tar.gz fastdebug-0.1.4:
pip install fastdebug-0.1.4.tar.gz