instruction stringclasses 1
value | input stringlengths 137 2k | output stringlengths 107 2k |
|---|---|---|
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | CUDA HOME in pytorch installation
I installed pytorch via conda with cuda 7.5
```
conda install pytorch=0.3.0 cuda75 -c pytorch
>>> import torch
>>> torch.cuda.is_available()
True
```
I didn't do any other installations for cuda other than this, since it looks like pytorch comes with cuda
Now, I am trying to setu... | The CUDA package which is distributed via anaconda is not a complete CUDA toolkit installation. It only includes the necessary libraries and tools to support
```
numba
```
and
```
pyculib
```
and other GPU accelerated binary packages they distribute, like
```
tensorflow
```
and
```
pytorch
```
.
If you ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | HTTPError: HTTP Error 403: Forbidden on Google Colab
I am trying to download MNIST data in PyTorch using the following code:
```
train_loader = torch.utils.data.DataLoader(
datasets.MNIST('data',
train=True,
download=True,
transform=transforms.Co... | This is a new bug, reported here:
https://github.com/pytorch/vision/issues/1938
See that thread for some potential workarounds until the issue is fixed in pytorch itself. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to calculate perplexity of a sentence using huggingface masked language models?
I have several masked language models (mainly Bert, Roberta, Albert, Electra). I also have a dataset of sentences. How can I get the perplexity of each sentence?
From the huggingface documentation
here
they mentioned that perplexity... | There is a paper
Masked Language Model Scoring
that explores pseudo-perplexity from masked language models and shows that pseudo-perplexity, while not being theoretically well justified, still performs well for comparing "naturalness" of texts.
As for the code, your snippet is perfectly correct but for one detail: i... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | load a pretrained model pytorch - dict object has no attribute eval
```
def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'):
torch.save(state, filename)
if is_best:
shutil.copyfile(filename, 'model_best.pth.tar')
save_checkpoint({
'epoch': epoch + 1,
'arc... | First, you have stated your model.
And torch.load() gives you a dictionary. That dictionary has not an eval function. So you should upload the weights to your model.
```
import torch
from modelfolder import yourmodel
model = yourmodel()
checkpoint = torch.load('model_best.pth.tar')
try:
checkpoint.eval()
except A... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How retain_grad() in pytorch works? I found its position changes the grad result
in a simple test in pytorch, I want to see grad in a non-leaf tensor, so I use retain_grad():
```
import torch
a = torch.tensor([1.], requires_grad=True)
y = torch.zeros((10))
gt = torch.zeros((10))
y[0] = a
y[1] = y[0] * 2
y.retain_gra... | Okay so what's going on is really weird.
What
```
.retain_grad()
```
essentially does is convert any non-leaf tensor into a leaf tensor, such that it contains a
```
.grad
```
attribute (since by default, pytorch computes gradients to leaf tensors only).
Hence, in your first example, after calling
```
y.reta... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Torch.cuda.is_available() keeps switching to False
I have tried several solutions that hinted at what to do when the CUDA GPU is available and CUDA is installed but the
```
Torch.cuda.is_available()
```
returns
```
False
```
. They did help but only temporarily, meaning
```
torch.cuda.is_available()
```
rep... | The reason for
```
torch.cuda.is_available()
```
resulting
```
False
```
is the incompatibility between the versions of
```
pytorch
```
and
```
cudatoolkit
```
.
As on Jun-2022, the current version of pytorch is compatible with
cudatoolkit=11.3
whereas the current
cuda toolkit version = 11.7
.
Sourc... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | would pytorch for cuda 11.6 work when cuda is actually 12.0
I will be using pytorch for a deep learning application. My computer has an NVIDIA GPU already.
I installed CUDA following
https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
Following that I installed pytorch in a conda envir... | I actually received the response below for the same question on Pytorch forum.
"Yes, your setup will work since the PyTorch binaries ship with their own CUDA runtime (as well as other CUDA libs such as cuBLAS, cuDNN, NCCL, etc.). The locally installed CUDA toolkit (12.0 in your case) will only be used if you are build... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Why do we multiply learning rate by gradient accumulation steps in PyTorch?
Loss functions in pytorch use "mean" reduction. So it means that the model gradient will have roughly the same magnitude given any batch size. It makes sense that you want to scale the learning rate up when you increase batch size because your... | I found that they indeed divided the loss by N (number of gradient accumulation steps). You can see sample code from
```
accelerate
```
package here:
https://huggingface.co/docs/accelerate/usage_guides/gradient_accumulation
Notice the following line of code from the guide above:
```
loss = loss / gradient_accumu... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Choose 2nd GPU on server
I am running code on server. There are 2 GPUs there, and the 1st one is busy. Yet, I can't find a way to switch between them. I am using pytorch if that is important. Following lines of code should be modified:
```
device = 'cuda' if torch.cuda.is_available() else 'cpu'
```
Modification may... | ```
cuda
```
by defaults chooses
```
cuda:0
```
, switching to the other GPU may be done through
```
cuda:1
```
So, your line becomes:
```
device = 'cuda:1' if torch.cuda.is_available() else 'cpu'
```
You can read more about
CUDA semantics
. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Creating a Simple 1D CNN in PyTorch with Multiple Channels
The dimensionality of the PyTorch inputs are not what the model expects, and I am not sure why.
To my understanding...
```
in_channels
```
is first the number of 1D inputs we would like to pass to the model, and is the previous out_channel for all subseque... | You are forgetting the "minibatch dimension", each "1D" sample has indeed two dimensions: the number of channels (7 in your example) and length (10 in your case). However, pytorch expects as input not a single sample, but rather a minibatch of
```
B
```
samples stacked together along the "minibatch dimension".
So ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Why is a namespace-qualified name available as a candidate?
Using libtorch, the following snippet causes an error:
```
#include <iostream>
#include <torch/torch.h>
using namespace torch;
int main() {
std::cout << zeros({}) << std::endl;
}
```
The compiler complains:
```
% g++ -lc10 -ltorch -ltorch_cpu test.cpp... | Because the pytorch headers contain a
```
using namespace at;
```
directive inside the
```
torch
```
namespace. See
here
.
Because you use
```
using namespace torch;
```
this then transitively also makes all of
```
at
```
available in the global scope.
The comment above the linked line indicates that ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | ValueError: Error initializing torch.distributed using env:// rendezvous: environment variable MASTER_ADDR expected, but not set
I am not able to initialize the group process in PyTorch for BERT model
I had tried to initialize using following code:
```
import torch
import datetime
torch.distributed.init_process_grou... | I solve the problem by referring
https://github.com/NVIDIA/apex/issues/99
.
Specifically run
```
python -m torch.distributed.launch xxx.py
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to create tensor directly on GPU, or on device of another tensor?
I found
this
discussion about this, in which the code
```
if std.is_cuda:
eps = torch.FloatTensor(std.size()).cuda().normal_()
else:
eps = torch.FloatTensor(std.size()).normal_()
```
becomes the nice
```
eps = std.new().normal_()
```
... | The documentation is quite clear now about this I think.
Here
are described the 4 main ways to create a new tensor, and you just have to specify the device to make it on gpu :
```
t1 = torch.zeros((3,3), device=torch.device('cuda'))
t2 = torch.ones_like(t1, device=torch.device('cuda'))
t3 = torch.randn((3,5), device... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | PyTorch ROCm is out - How to select Radeon GPU as device
since Pytorch released the ROCm version, which enables me to use other gpus than nvidias, how can I select my radeon gpu as device in python?
Obviously, code like device = torch.cuda.is_available or device = torch.device("cuda") is not working. Thanks for any he... | This took me forever to figure out. I'm still having some configuration issues with my AMD GPU, so I haven't been able to test that this works, but, according to this github pytorch thread, the Rocm integration is written so you
can
just call torch.device('cuda') and no actual porting is required!
See the thread her... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | CUDA error: invalid device ordinal when using python 3.9
I'm trying to excute a code, but I keep geting this error when compiling this piece of code:
```
import tensorflow as tf
from xba import XBA
import torch
torch.tensor([1, 2, 3, 4]).to(device="cuda:2")
```
torch.tensor([1, 2, 3, 4]).to(device="cuda:... | ```
"cuda:2"
```
selects the third GPU in your system. If you don't have 3 GPUs (at least) in your system, you'll get this error.
Assuming you have at least 1 properly installed and set up CUDA GPU available, try:
```
"cuda:0"
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | PyTorch torch_sparse installation without CUDA
I am new in PyTorch and I have faced one issue, namely I cannot get my torch_sparse module properly installed.
In general, I wanted to use module
```
torch_geometric
```
- this I have installed. However, when during the execution of the program I keep receiving the er... | As outlined in in
pytorch_geometric installation instructions
you have to install dependencies first and
```
torch_geometric
```
after that.
For PyTorch
```
1.7.0
```
and CPU:
```
pip install --no-index torch-scatter -f https://pytorch-geometric.com/whl/torch-1.7.0+cpu.html
pip install --no-index torch-spar... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Overflow when unpacking long - Pytorch
I am running the following code
```
import torch
from __future__ import print_function
x = torch.empty(5, 3)
print(x)
```
on an Ubuntu machine in CPU mode, which gives me following error, what would be the reason and how to fix
```
x = torch.empty(5, 3)
----> print(x)
... | Since, torch.empty() gives uninitialized memory, so you may or may not get a large value from it. Try
```
x = torch.rand(5, 3)
print(x)
```
this would give the response. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | torch.return_types.max as Tensor
I try to pass
```
torch.max()
```
return type (
```
torch.return_types.max
```
) as argument to function
```
torch.tile()
```
:
```
torch.tile(torch.max(x), (1, 1, 1, 5))
```
The error is:
```
TypeError: tile(): argument 'input' (position 1) must be Tensor, not torch.retur... | For this error to be true, you have to be using some
```
dim=?
```
, because only then
```
torch.max
```
will return a tuple of
```
(values, indices)
```
.
You can fix that error by using only the first output:
```
torch.tile(torch.max(x, dim=0)[0], (1, 1, 1, 5))
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch: RuntimeError: result type Float can't be cast to the desired output type Long
I have a model which looks as follows:
```
IMG_WIDTH = IMG_HEIGHT = 224
class AlexNet(nn.Module):
def __init__(self, output_dim):
super(AlexNet, self).__init__()
self._to_linear = None
self.x = torch.randn(3, IMG... | I was getting the same error doing this:
```
loss_fn(output, target)
```
where the
output
was Tensor
torch.float32
and
target
was Tensor
torch.int64
. What solved this problem was calling the loss function like this:
```
loss_fn(output, target.float())
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | cnn IndexError: Target 2 is out of bounds
I got this error after I executed my code and it seems that the below portion of the code is throwing this error. I tried different ways but nothing could solve it. The error is given by the loss function.
```
for i, data in enumerate(train_loader, 0):
# import pdb;pd... | I faced the same problem. The problem was solved by changing the number of classes.
num_classes = 10 (changed to the actual class number, instead of 1) |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How can i solve backward() got an unexpected keyword argument 'retain_variables'?
I write the code following below but I got this error:
```
TypeError: backward() got an unexpected keyword argument 'retain_variables'
```
My code is:
```
def learn(self, batch_state, batch_next_state, batch_reward, batch_act... | I was having the same problem. This solution worked for me.
```
td_loss.backward(retain_graph = True)
```
It worked. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Windows keeps crashing when trying to install PyTorch via pip
I am currently trying to install PyTorch (using the installation commands posted on PyTorch.org for pip) and when I run the command, my computer completely freezes.
I tried this multiple times with the same result. I had to restart the computer a few times... | After troubling shooting and a lot of restart, it seems like the issue came from when pip was trying to load a pre-downloaded file. Essentially, the first time I ran the installation command, pip downloaded files for pytorch but did not install pytorch due to some user privilege issue. The fix is to add
```
--no-cach... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Create a torch::Tensor from C/C++ array without using "from_blob(...)..."
Using the C++ libtorch api for
```
Pytorch
```
I want to create a
```
torch::Tensor
```
from a C++
```
double[]
```
array, legacy C/C++ pointer. I could not find a simple documentation about the subject not in
docs
nor in... | You can read more about tensor creation here:
https://pytorch.org/cppdocs/notes/tensor_creation.html
I don't know of any way to create a tensor from an array without using
```
from_blob
```
but you can use
```
TensorOptions
```
to control various things about the tensor including its device.
Based on your ex... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | The essence of learnable positional embedding? Does embedding improve outcomes better?
I was recently reading the bert source code from the hugging face project. I noticed that the so-called "learnable position encoding" seems to refer to a specific nn.Parameter layer when it comes to implementation.
```
def __init__... | What is the purpose of positional embeddings?
In transformers (BERT included) the only interaction between the different tokens is done via self-attention layers. If you look closely at the mathematical operation implemented by these layers you will notice that these layers are
permutation
equivariant
: That is, the... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch - Indexing a range of multiple Indices?
Lets say I have a tensor of size [100, 100] and I have a set of
```
start_indices
```
and
```
end_indices
```
of size [100]
I want to be able to do something like this:
```
tensor[start_indices:end_indices, :] = 0
```
Unfortunately, I get an error saying
```... | Without loops of any kind
```
mytensor = torch.randn(4, 10)
start = torch.tensor([1, 3, 1, 3]).unsqueeze(-1)
end = torch.tensor([3, 5, 7, 4]).unsqueeze(-1)
```
create an array of indices in the same shape as the tensor you want to index
```
index = torch.arange(10).repeat(4).reshape(4, 10)
>>> index
tensor([[0, 1,... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | PyTorch: "KeyError: Caught KeyError in DataLoader worker process 0."
Problem Description
I tried to load image data using a PyTorch custom dataset, however, I received the error message listed below. After its occurrence, I checked the data and found that my image set consists of 2 types of shape (512,512,3... | found the issue with the code.
Pytorch Custom Dataloader function "
getitem
" uses idx to retrieve data and my guess is, it know the range of idx from
len
function, ex: 0, till len(rows in dataset).
In my case, I already had a panda dataset (train_data) with idx as one of the column. When I randomly split it into X... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | when is a pytorch custom function needed (rather than only a module)?
Pytorch beginner here! Consider the following custom Module:
```
class Testme(nn.Module):
def __init__(self):
super(Testme, self).__init__()
def forward(self, x):
return x / t_.max(x).expand_as(x)
```
As far as I understand the d... | This information is gathered and summarised from the official PyTorch Documentaion.
```
torch.autograd.Function
```
really lies at the heart of the autograd package in PyTorch. Any graph you build in PyTorch and any operation you conduct on
```
Variables
```
in PyTorch is based on a
```
Function
```
. Any func... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | RuntimeError: dimension out of range (expected to be in range of [-1, 0], but got 1)
Im using a Pytorch Unet model to which i am feeding in a image as input and along with that i am feeding the label as the input image mask and traning the dataset on it.
The Unet model i have picked up from somewhere else, and i am us... | According to your code:
```
probs_flat = probs.view(-1)
targets_flat = targets.view(-1)
return self.crossEntropy_loss(probs_flat, targets_flat)
```
You are giving two 1d tensor to
```
nn.CrossEntropyLoss
```
but according to
documentation
, it expects:
```
Input: (N,C) where C = number of classes
Target: (N) w... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | AttributeError: 'tuple' object has no attribute 'dim', when feeding input to Pytorch LSTM network
I am trying to run the following code:
```
import matplotlib.pylab as plt
import numpy as np
import torch
import torch.nn as nn
class LSTM(nn.Module):
def __init__(self, input_shape, n_actions):
... | The pytorch LSTM returns a tuple.
So you get this error as your linear layer
```
self.hidden2tag
```
can not handle this tuple.
So change:
```
out = self.lstm(x)
```
to
```
out, states = self.lstm(x)
```
This will fix your error, by splitting up the tuple so that
```
out
```
is just your output tensor.
... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | example of doing simple prediction with pytorch-lightning
I have an existing model where I load some pre-trained weights and then do prediction (one image at a time) in pytorch. I am trying to basically convert it to a pytorch lightning module and am confused about a few things.
So currently, my
```
__init__
```
... | ```
LightningModule
```
is a subclass of
```
torch.nn.Module
```
so the same model class will work for both inference and training. For that reason, you should probably call the
```
cuda()
```
and
```
eval()
```
methods outside of
```
__init__
```
.
Since it's just a
```
nn.Module
```
under the ho... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pip could not find a version that satisfies the requirement torch (from versions: none)
I am trying to install PyTorch on my Windows 11. I have Python 3.8.1, and pip 22.2.2. I have tried running the command
```
py -m pip install torch
```
, but it keeps returning the error:
```
ERROR: Could not find a version that... | Just came across another post that mentioned how it needs to be the 64-bit version of Python to allow installation of PyTorch.
Just installed Python 3.9.13 with the 64-bit installer, and the installation worked. So, if anyone else is running into issues, would recommend first running
```
python
```
in command shell... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | RuntimeError: CUDA error: no kernel image is available for execution on the device (rastervision)
Hi I am trying to run rastervision pipeline on a GPU NVIDIA GEOFORCE 3050 RTX.
Ubuntu 22.04
Pytorch: Version: 1.12.0+cu116
CUDA: 12
But when I run the Docker container like that:
```
sudo docker run --rm --runtime=nv... | This error arises when CUDA code was not compiled to target your GPU architecture. Here, the version of PyTorch the Rastervision Docker image is using does not include CUDA code compiled for
```
sm_86
```
(Ampere GeForce).
As a workaround, you can force the reinstallation of a version of PyTorch that contains code... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Using HuggingFace pipeline on pytorch mps device M1 pro
i want to run the pipeline abstract for zero-shot-classification task on the mps device. Here is my code
```
pipe = pipeline('zero-shot-classification', device = mps_device)
seq = "i love watching the office show"
labels = ['negative', 'positive']
pipe(seq, labe... | When I had a similar problem, it was fixed by doing
```
model = model.to("mps")
```
though that shouldn't have been a problem in your case.
The following code works on my machine:
```
import os
os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
from transformers import pipeline
mps_device = "mps"
pipe = pipeline('z... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | pytorch - Model_heplers.py in is_overridden > raise ValueError(“Expected a parent”)
I am running on a new remote server a code that used to work on another remote server. I think I setup things in the same way, but when I run my training script, I get this error:
```
Traceback (most recent call last):
File "/hom... | With
```
lightning
```
versions 2.0.0, use
```
import lightning.pytorch as pl
```
instead of
```
import pytorch_lightning as pl
```
. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Multi-dimensional tensor dot product in pytorch
I have two tensors of shapes (8, 1, 128) as follows.
```
q_s.shape
Out[161]: torch.Size([8, 1, 128])
p_s.shape
Out[162]: torch.Size([8, 1, 128])
```
Above two tensors represent a batch of eight 128 dimensional vectors. I want the dot product of batch
```
q_s
```
... | You can do it directly:
```
a = torch.rand(8, 1, 128)
b = torch.rand(8, 1, 128)
torch.sum(a * b, dim=(1, 2))
# tensor([29.6896, 30.4994, 32.9577, 30.2220, 33.9913, 35.1095, 32.3631, 30.9153])
torch.diag(torch.tensordot(a, b, dim=([1,2], [1,2])))
# tensor([29.6896, 30.4994, 32.9577, 30.2220, 33.9913, 35.1095, 32.... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to convert Pytorch autograd.Variable to Numpy?
The title says it all. I want to convert a
```
PyTorch autograd.Variable
```
to its equivalent
```
numpy
```
array. In their
official documentation
they advocated using
```
a.numpy()
```
to get the equivalent
```
numpy
```
array (for
```
PyTorch te... | Two possible case
Using GPU:
If you try to convert a cuda float-tensor directly to numpy like shown below,it will throw an error.
x.data.numpy()
RuntimeError: numpy conversion for FloatTensor is not supported
So, you cant covert a cuda float-tensor directly to numpy,
instead you have to convert it into a cpu flo... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Runtime Error - element 0 of tensors does not require grad and does not have a grad_fn
I am using a Unet model for semantic segmentation - I have a custom dataset of images and their masks both in .png format. I have looked in the online forums and tried stuff, but not much works?
Any suggestions in how to resolve the... | You can try this before
```
loss.backward()
```
:
```
loss = Variable(loss, requires_grad = True)
```
Or, because the Variable has been removed from PyTorch (still exists but deprecated), you can do the same thing simply by using following code:
```
loss.requires_grad = True
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Remove downloaded tensorflow and pytorch(Hugging face) models
I would like to remove tensorflow and hugging face models from my laptop.
I did find one link
https://github.com/huggingface/transformers/issues/861
but is there not command that can remove them because as mentioned in the link manually deleting can cause... | Use
```
pip install huggingface_hub["cli"]
```
Then
```
huggingface-cli delete-cache
```
You should now see a list of revisions that you can select/deselect.
See
this link
for details. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | BucketIterator throws 'Field' object has no attribute 'vocab'
It's not a new question, references I found without any solution working for me
first
and
second
.
I'm a newbie to PyTorch, facing
```
AttributeError: 'Field' object has no attribute 'vocab'
```
while creating batches of the text data... | You haven't built the vocab for the LABEL field.
After
```
TEXT.build_vocab(train, ...)
```
, run
```
LABEL.build_vocab(train)
```
, and the rest will run. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | AttributeError: '_MultiProcessingDataLoaderIter' object has no attribute 'next'
I am trying to load the dataset using
```
Torch Dataset and DataLoader
```
, but I got the following error:
```
AttributeError: '_MultiProcessingDataLoaderIter' object has no attribute 'next'
```
the code I use is:
`... | I too faced the same issue, when i tried to call the next() method as follows
```
dataiter = iter(dataloader)
data = dataiter.next()
```
You need to use the following instead and it works perfectly:
```
dataiter = iter(dataloader)
data = next(dataiter)
```
Finally your code should look like follows:
```
class Wi... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch getting RuntimeError: Found dtype Double but expected Float
I am trying to implement a neural net in PyTorch but it doesn't seem to work. The problem seems to be in the training loop. I've spend several hours into this but can't get it right. Please help, thanks.
I haven't added the data preprocessing parts.
... | You need the data type of the data to match the data type of the model.
Either convert the model to double (recommended for simple nets with no serious performance problems such as yours)
```
# nn architecture
class Net(nn.Module):
def __init__(self):
super().__init__()
self.fc1 = nn.Linear(4, 4)
... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to run a pytorch project with CPU?
A Pytorch project is supposed to run on GPU. I want to run it on my laptop only with CPU. There are a lot of places calling
```
.cuda()
```
on models, tensors, etc., which fail to execute when cuda is not available. Is it possible to do it without changing the code everywhere... | Here's the simplest fix I can think of:
Put the following line near the top of your code:
```
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
```
Do a global replace. Change
```
.cuda()
```
to
```
.to(device)
```
, where
```
device
```
is the variable set in step 1. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | ValueError: sampler option is mutually exclusive with shuffle pytorch
i'm working on face recognition project using pytorch and mtcnn and after trained my training dataset , now i want to make prediction on test data set
this my trained code
```
optimizer = optim.Adam(resnet.parameters(), lr=0.001)
scheduler = Mul... | TLDR; Remove
```
shuffle=True
```
in this case as
```
SubsetRandomSampler
```
shuffles data already.
What
```
torch.utils.data.SubsetRandomSampler
```
does (please
consult documentation when in doubt
) is it will take a list of indices and return their permutation.
In your case you have
```
indices
```... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | AttributeError: module 'torchtext.data' has no attribute 'Field'
I want to run a git
project
used pytorch and torchtext but when I run it, it raise error:
```
File "main.py", line 60, in <module>
main()
File "main.py", line 50, in main
train_iters, dev_iters, test_iters, vocab = load_dat... | From TorchText
```
0.9.0
```
Release Notes
```
torchtext.data.Field
```
->
```
torchtext.legacy.data.Field
```
This means, all features are still available, but within
```
torchtext.legacy
```
instead of
```
torchtext
```
.
```
torchtext.data.Field
```
has been moved to
```
torchtext.legacy.data.... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | RuntimeError: module must have its parameters and buffers on device cuda:1 (device_ids[0]) but found one of them on device: cuda:2
I have 4 GPUs (0,1,2,3) and I want to run one Jupyter notebook on GPU 2 and another one on GPU 0. Thus, after executing,
```
export CUDA_VISIBLE_DEVICES=0,1,2,3
```
for the GPU 2 noteb... | ```
DataParallel
```
requires every input tensor be provided on the
first device in its
```
device_ids
```
list
.
It basically uses that device as a staging area before scattering to the other GPUs and it's the device where final outputs are gathered before returning from forward. If you want device 2 to be the... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Print exact value of PyTorch tensor (floating point precision)
I'm trying to print
```
torch.FloatTensor
```
like:
```
a = torch.FloatTensor(3,3)
print(a)
```
This way I can get a value like:
```
0.0000e+00 0.0000e+00 3.2286e-41
1.2412e-40 1.2313e+00 1.6751e-37
2.6801e-36 3.5873e-41 9.4463e+21
```
But ... | You can set the precision options:
```
torch.set_printoptions(precision=10)
```
There are more formatting options on the
documentation page
, it is very similar to numpy's. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | LSTM autoencoder always returns the average of the input sequence
I'm trying to build a very simple LSTM autoencoder with PyTorch. I always train it with the same data:
```
x = torch.Tensor([[0.0], [0.1], [0.2], [0.3], [0.4]])
```
I have built my model following
this
link:
```
inputs = Input(shape=(timesteps, in... | 1. Initializing hidden states
In your source code you are using
```
init_hidden_encoder
```
and
```
init_hidden_decoder
```
functions to zero hidden states of both recurrent units in every forward pass.
In PyTorch
you don't
have to do that, if no initial hidden state is passed to RNN-cell (be it LSTM, GRU o... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Lack of Sparse Solution with L1 Regularization in Pytorch
I am trying to implement L1 regularization onto the first layer of a simple neural network (1 hidden layer). I looked into some other posts on StackOverflow that apply l1 regularization using Pytorch to figure out how it should be done (references:
Adding L1/L... | Your usage of
```
layer.weight.data
```
removes the parameter (which is a PyTorch variable) from its automatic differentiation context, making it a constant when the optimiser takes the gradients. This results in zero gradients and that the L1 loss is not computed.
If you remove the
```
.data
```
, the norm is ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Correct Validation Loss in Pytorch?
I am a bit confused as to how to calculate Validation loss? Are validation loss to be computed at the end of an epoch OR should the loss be also monitored during iteration through the batches ?
Below I have computed using running_loss which is getting accumulated over batches - but ... | You can evaluate your network on the validation when you want. It can be every epoch or if this is too costly because the dataset is huge it can be each
```
N
```
epoch.
What you did seems correct, you compute the loss of the whole validation set. You can optionally divide by its length in order to normalize the l... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Problem with Dataloader object not subscriptable
I am now running a Python program using Pytorch. I use my own dataset, not
```
torch.data.dataset
```
. I download data from a pickle file extracted from feature extraction. But the following errors appear:
```
Traceback (most recent call last):
File "C:\Users\hp\... | It is not the line giving you an error as it's the very last
```
train
```
function you are not showing.
You are confusing two things:
```
torch.utils.data.Dataset
```
object is indexable (
```
dataset[5]
```
works fine for example). It is a simple object which defines how to get a single (usually single) sa... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Module Not Found Error when importing Pytorch_Transformers
After downloading pytorch_transformers through Anaconda and executing the import command through the Jupyter Notebook, I am facing several errors related to missing modules.
I tried searching sacremoses to import the package via Anaconda, but it is only avai... | Please try to create a conda environment and install the packages in the created environment using the below steps:
```
conda create -n env_pytorch -c intel python=3.5
source activate env_pytorch
pip install pytorch-transformers
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Python - AttributeError: 'numpy.ndarray' object has no attribute 'to'
I now have the updated code as follows:
```
# Hyperparameters
random_seed = 123
learning_rate = 0.01
num_epochs = 10
batch_size = 128
```
device = torch.device("cuda:1" if torch.cuda.is_available() else "cpu")
for epoch in ra... | It would be nice to see your
```
train_generator
```
code for clarity, but it does not seem to be a torch
```
DataLoader
```
. In this case, you should probably convert your arrays to tensors manually. There are several ways to do so:
```
torch.from_numpy(numpy_array)
```
- for numpy arrays;
```
torch.as_ten... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Terminate called after throwing an instance of 'std::bad_alloc' from importing torch_geometric
I am writing in python and getting the error:
"terminate called after throwing an instance of 'std::bad_alloc'.
what(): std::bad_alloc.
Aborted (core dumped)"
After lots of debugging, I found out the source of t... | This problem is because of mismatched versions of pytorch.
The current pytorch being used is 1.11.0, but when scatter and sparse were installed installed scatter and sparse, 1.10.1 were used:
pip install torch-scatter -f
https://data.pyg.org/whl/torch-1.10.1+cu113.html
.
pip install torch-sparse -f
https://data.pyg... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Custom loss function in PyTorch
I have three simple questions.
What will happen if my custom loss function is not differentiable? Will pytorch through error or do something else?
If I declare a loss variable in my custom function which will represent the final loss of the model, should I put
```
requires_grad = Tr... | Let me have a go.
This depends on what you mean by "non-differentiable". The first definition that makes sense here is that PyTorch doesn't know how to compute gradients. If you try to compute gradients nevertheless, this will raise an error. The two possible scenarios are:
a) You're using a custom PyTorch operation... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | tensorboard colab tensorflow._api.v1.io.gfile' has no attribute 'get_filesystem
I am trying to use tensorboard on colab. I manage to make it work, but not for all commands. add_graph and add_scalar works, but when I tried to run add_embedding I am getting the following error:
```
AttributeError: module 'tenso... | For me, this fixed the problem:
```
import tensorflow as tf
import tensorboard as tb
tf.io.gfile = tb.compat.tensorflow_stub.io.gfile
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch - Inferring linear layer in_features
I am building a toy model to take in some images and give me a classification. My model looks like:
```
conv2d -> pool -> conv2d -> linear -> linear
```
.
My issue is that when we create the model, we have to calculate the size of the first linear layer
```
in_feature... | As of 1.8, PyTorch now has
```
LazyLinear
```
which infers the input dimension:
A
```
torch.nn.Linear
```
module where
in_features
is inferred. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Multi dimensional inputs in pytorch Linear method?
When building a simple perceptron neural network we usuall passes a 2D matrix of input of format
```
(batch_size,features)
```
to a 2D weight matrix, similar to this simple neural network in
numpy
. I always assumed a Perceptron/Dense/Linear layer of a neural net... | Newer versions of PyTorch allows
```
nn.Linear
```
to accept N-D input tensor, the only constraint is that the last dimension of the input tensor will equal
```
in_features
```
of the linear layer. The linear transformation is then applied on the last dimension of the tensor.
For instance, if
```
in_features... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How can torch multiply two 10000*10000 matrices in almost zero time? Why does the speed change so much from 349 ms down to 999 µs?
Here is an excerpt from Jupyter:
In
```
[1]
```
:
```
import torch, numpy as np, datetime
cuda = torch.device('cuda')
```
In
```
[2]
```
:
```
ac = torch.randn(10000, 10000... | There is already a discussion about this on Discuss PyTorch:
Measuring GPU tensor operation speed
.
I'd like to highlight two comments from that thread:
From
@apaszke
:
[...] the GPU executes all operations asynchronously, so you need to insert proper barriers for your benchmarks to be correct
From
@ngimel
:
I ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | When using torch.autocast, how do I force individual layers to float32
I'm trying to train a model in mixed precision. However, I want a few of the layers to be in full precision for stability reasons. How do I force an individual layer to be float32 when using
```
torch.autocast
```
? In particular, I'd like for t... | I think the motivation of
torch.autocast
is to automate the reduction of precision (not the increase).
If you have
functions that need a particular
```
dtype
```
, you should consider using,
custom_fwd
```
import torch
@torch.cuda.amp.custom_fwd(cast_inputs=torch.complex128)
def get_custom(x):
print(' Dec... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Unable to find a valid cuDNN algorithm to run convolution
I just got this message when trying to run a feed forward torch.nn.Conv2d, getting the following stacktrace:
```
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call l... | According to
this
answer for similar issue with tensorflow, it could occur because the VRAM memory limit was hit (which is rather non-intuitive from the error message).
For my case with PyTorch model training, decreasing batch size helped. You could try this or maybe decrease your model size to consume less VRAM. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR
I'm trying to train a model with Yolov8. Everything was good but today I suddenly notice getting this warning apparently related to
```
PyTorch
```
and
```
cuDNN
```
. In spite the warning, the training seems to be progressi... | In version 2.3.0 of pytorch, it prints this unwanted warning even if no exception is thrown: see
https://github.com/pytorch/pytorch/pull/125790
As you mentioned, though, the training is processing correctly. If you want to get rid of this warning, you should revert to torch 2.2.2 (you then also have to revert torchvi... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to upgrade to pytorch-nightly in google colab?
I got into problem ,
how can i solve this?
I want to run pytorch-nightly on colab, I have all codes in pytorch-nightly version because of new packages in it,
I tried to search about this and tried this code but it is not working even after restarting runtime
```
fro... | You're using the wrong package name, as mentioned on the pytorch website use this:
```
!pip install --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html -U
```
Here,
```
-U
```
option is for upgrade (as there is already pytorch stable version installed on colab). |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch dynamic amount of Layers?
I am trying to specify a dynamic amount of layers, which I seem to be doing wrong.
My issue is that when I define the 100 layers here, I will get an error in the forward step.
But when I define the layer properly it works?
Below simplified example
```
class PredictFromEmbeddParaSmall... | You should use a ModuleList from pytorch instead of a list:
https://pytorch.org/docs/master/generated/torch.nn.ModuleList.html
. That is because Pytorch has to keep a graph with all modules of your model, if you just add them in a list they are not properly indexed in the graph, resulting in the error you faced.
You... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Python Neural Network: 'numpy.ndarray' object has no attribute 'dim'
I am using this database for modeling
http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
after preprocessing
```
X_train = df.drop('class', axis=1).to_numpy()
y_train = df['class'].to_numpy()
X_train, X_test, y_tra... | in
```
prediction = net(X_train)
```
,
```
X_train
```
is a numpy array, but torch expects a tensor.
You need to convert to torch tensor, and move to gpu if you want
the 1st line should be
```
X_train = torch.from_numpy(df.drop('class', axis=1).to_numpy())
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Defining named parameters for a customized NN module in Pytorch
This question is about how to appropriately define the parameters of a customized layer in PyTorch. I am wondering how one can make the parameter to end up being
named parameter
?
```
class My_layer(torch.nn.Module):
def __init__(self):
sel... | You are registering your parameter properly, but you should use
```
nn.Module.named_parameters
```
rather than
```
nn.Module.parameters
```
to access the names. Currently you are attempting to access
```
Parameter.name
```
, which is probably not what you want. The
```
name
```
attribute of
```
Paramet... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | When will the computation graph be freed if I only do forward for some samples?
I have a use case where I do forward for each sample in a batch and only accumulate loss for some of the samples based on some condition on the model output of the sample. Here is an illustrating code,
```
for batch_idx, (data, target) in... | Let's start with a general discussion of how PyTorch frees memory:
First, we should emphasize that PyTorch uses an implicitly declared graph that is stored in Python object attributes. (Remember, it's Python, so everything is an object). More specifically,
```
torch.autograd.Variable
```
s have a
```
.grad_fn
```... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | TypeError: setup() got an unexpected keyword argument 'stage'
I am trying to train my q&a model through pytorch_lightning. However while running the command
```
trainer.fit(model,data_module)
```
I am getting the following error:
```
------------------------------------------------------------------------... | You need to add an extra argument
```
stage=None
```
to your setup method:
```
def setup(self, stage=None):
self.train_dataset = BioQADataset(
self.train_df,
self.tokenizer,
self.source_max_token_len,
self.target_max_token_len
)
self.test_dataset = BioQADataset(
... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | early stopping in PyTorch
I tried to implement an early stopping function to avoid my neural network model overfit. I'm pretty sure that the logic is fine, but for some reason, it doesn't work.
I want that when the validation loss is greater than the training loss over some epochs, the early stopping function returns ... | Although
@KarelZe's response
solves your problem sufficiently and elegantly, I want to provide an alternative early stopping criterion that is arguably better.
Your early stopping criterion is based on how much (and for how long) the validation loss diverges from the training loss. This will break when the validatio... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | "C:\torch\lib\fbgemm.dll" or one of its dependencies
OSError: [WinError 126] The specified module could not be found. Error loading "C:\apps\python\lib\site-packages\torch\lib\fbgemm.dll" or one of its dependencies.
System information:
Operating system: Windows 11
Python version: 3.15
PyTorch version: 2.3.... | I was able to resolve this issue and it was related to a missing dependency for:
libomp140.x86_64.dll
I was setting up a clean Windows 11 Pro system and wanted to get the latest and greatest Torch with Cuda 12.4 on there for development. Until I got exactly the error you are mentioning. I tried installing and reinsta... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | RuntimeError("grad can be implicitly created only for scalar outputs")
I have following code for train function for training an A3C.
I am stuck with following error.
```
RuntimeError("grad can be implicitly created only for scalar outputs")
```
at line
```
(policy_loss + 0.5 * value_loss).backward()
```... | The pytorch error you get means "you can only call backward on scalars, i.e 0-dimensional tensors". Here, according to your prints,
```
policy_loss
```
is not scalar, it's a 1x4 matrix. As a consequence, so is
```
policy_loss + 0.5 * value_loss
```
. Thus your call to
```
backward
```
yields an error.
You pr... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Error libtorch_python.so: cannot open shared object file: No such file or directory
I'm trying to implement fastai pretrain language model and it requires torch to work. After run the code, I got some problem about the import torch._C
I run it on my linux, python 3.7.1, via pip: torch 1.0.1.post2, cuda V7.5.17. I'm ... | My problem is solved. I'm uninstalling my torch twice
```
pip uninstall torch
pip uninstall torch
```
and then re-installing it back:
```
pip install torch==1.0.1.post2
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How does one use Pytorch (+ cuda) with an A100 GPU?
I was trying to use my current code with an A100 gpu but I get this error:
```
---> backend='nccl'
/home/miranda9/miniconda3/envs/metalearningpy1.7.1c10.2/lib/python3.8/site-packages/torch/cuda/__init__.py:104: UserWarning:
A100-SXM4-40GB with CUDA capability sm_80... | From the link
pytorch site
from @SimonB 's answer, I did:
```
pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
```
This solved the problem for me. |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Is there an efficient way to create a random bit mask in Pytorch?
I want to have a random bit mask that has some specified percent of
```
0
```
s. The function I devised is:
```
def create_mask(shape, rate):
"""
The idea is, you take a random permutations of numbers. You then mod then
mod it by the [nu... | For anyone running into this, this will create a bitmask with approximately 80% zero's directly on GPU. (PyTorch 0.3)
```
torch.cuda.FloatTensor(10, 10).uniform_() > 0.8
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | pytorch masked_fill: why can't I mask all zeros?
I want to mask the all the zeros in the score matrix with
```
-np.inf
```
, but I can only get part of zeros masked, looked like
you see in the upper right corner there are still zeros that didn't get masked with
```
-np.inf
```
Here's my codes:
```
q = to... | Your mask is wrong. Try
```
scores = scores.masked_fill(scores == 0, -np.inf)
```
```
scores
```
now looks like
```
tensor([[1.4796, 1.2361, 1.2137, 0.9487, -inf, -inf],
[0.6889, 0.4428, 0.6302, 0.4388, -inf, -inf],
[0.8842, 0.7614, 0.8311, 0.6431, -inf, -inf],
[0.9884, 0.8430,... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Why do I get CUDA out of memory when running PyTorch model [with enough GPU memory]?
I am asking this question because I am successfully training a segmentation network on my GTX 2070 on laptop with 8GB VRAM and I use
exactly the same code and exactly the same software libraries installed
on my desktop PC with a GTX... | Most of the people (even in the thread below) jump to suggest that decreasing the batch_size will solve this problem. In fact, it does not in this case. For example, it would have been illogical for a network to train on 8GB VRAM and yet to fail to train on 11GB VRAM, considering that there were no other applications c... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | ERROR: Could not find a version that satisfies the requirement torch (from versions: none) ERROR: No matching distribution found for torch
I tried to download torch by using
```
pip install torch
```
I faced this problem:
```
C:\Users\Ahmad Sadek>pip install torch
ERROR: Could not find a version that satisfies the... | It isn't officially supported by 3.10 yet. Use the nightly builds:
```
pip3 install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Best practices for generating a random seeds to seed Pytorch?
What I really want is to seed the dataset and dataloader. I am adapting code from:
https://gist.github.com/kevinzakka/d33bf8d6c7f06a9d8c76d97a7879f5cb
Anyone know how to seed this properly? What are the best practices for seeding things in Pytorch.
Hones... | Have a look at
https://pytorch.org/docs/stable/notes/randomness.html
This is what I use
```
def seed_everything(seed=42):
random.seed(seed)
os.environ['PYTHONHASHSEED'] = str(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = Fals... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | PyTorch: Expected input batch_size (12) to match target batch_size (64)
I tried out PyTorch and wanted to write a program for MNIST. But, I got the error message:
Expected input batch_size (12) to match target batch_size (64)
I searched for a solution but I don't understand what's wrong with my code.
```
#kwargs is... | The error occurs because your model output,
```
out
```
, has shape
```
(12, 10)
```
, while your
```
target
```
has a length of 64.
Since you are using a batch size of 64 and predicting the probabilities of 10 classes, you would expect your model output to be of shape
```
(64, 10)
```
, so clearly there ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Weight Normalization in PyTorch
An important weight normalization technique was introduced in
this paper
and has been included in PyTorch since long as follows:
```
from torch.nn.utils import weight_norm
weight_norm(nn.Conv2d(in_channles, out_channels))
```
From the
docs
I get to know,
```
weight_norm... | I have finally figured out the problem.
Batch normalization learns two parameters during training and uses them for inference. Thus it is necessary to change its behaviour using
```
eval()
```
to tell not to modify them any further.
I then scrutinizingly checked the
weight normalization
paper and found it to be... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to Fix "AssertionError: CUDA unavailable, invalid device 0 requested"
I'm trying to use my GPU to run the YOLOR model, and I keep getting the error:
```
Traceback (most recent call last):
File "D:\yolor\detect.py", line 198, in <module>
detect()
File "D:\yolor\detect.py", line 41, in detect
... | Ok after 1 week of pain I have founded this solution
1- After download NVIDIA Driver:
Go to your window and search for "NVIDIA Control Panel"
Then at the bottom left there should be "System Information"
Then look for "CUDA Cores"
Mine is 384 (year my laptop is antique) (NVIDIA GeForce GT 750M)
For CUDA Cores: 384... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Is there a function in google.colab module to close the runtime
Sometimes when I give run in google.colab I cant stay infront of the computer to manually disconnect from the server when the run is complete and the connection stays on even when my run is complete occupying the node for no reason.
Is there a function i... | Since September 2022, it is now possible. From
@GoogleColab twitter
:
You can now terminate Colab sessions programmatically with the following code:
```
from google.colab import runtime
runtime.unassign()
```
The new
```
unassign()
```
function marks the currently connected runtime for deletion and disconnects... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | IndexError: tensors used as indices must be long, byte or bool tensors
I am getting this error only during the testing phase, but I do not face any problem in the training and validation phase.
```
IndexError: tensors used as indices must be long, byte or bool tensors
```
I get this error for the last line in the g... | The previous answer somehow does not work for me in recent versions of pytorch. But I have solved it by passing the indices as long ->
```
i.long()
```
,
```
lab.long()
```
So, this should work,
```
NumClass = 10
mask = torch.zeros(batch_size, self.mem_dim, 4, 4)
ones = torch.ones(1, 4, 4)
NumRows = self.mem_dim... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | The size of tensor a (707) must match the size of tensor b (512) at non-singleton dimension 1
I am trying to do text classification using pretrained BERT model. I trained the model on my dataset, and in the phase of testing; I know that BERT can only take to 512 tokens, so I wrote if condition to check the length of t... | This is because, BERT uses word-piece tokenization. So, when some of the words are not in the vocabulary, it splits the words to it's word pieces. For example: if the word
```
playing
```
is not in the vocabulary, it can split down to
```
play, ##ing
```
. This increases the amount of tokens in a given sentence ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Why are there two different flags to disable gradient computation in PyTorch?
I am an intermediate learner in PyTorch and in some recent cases, I have seen people use the
```
torch.inference_mode()
```
instead of the famous
```
torch.no_grad()
```
while validating your trained agent in reinforcement learning (... | So I have been scraping the web for a few days and I think I got my explanation. The
```
torch.inference()
```
mode has been added as an even more optimized way of doing inference with PyTorch (versus the
```
torch.no_grad()
```
). I listened to the
PyTorch podcast
and they have an explanation as to why there ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How can I get the MSE of a tensor across a specific dimension?
I have 2 tensors with
```
.size
```
of
```
torch.Size([2272, 161])
```
. I want to get mean-squared-error between them. However, I want it along each of the 161 channels, so that my error tensor has a
```
.size
```
of
```
torch.Size([161])
```... | For the
```
nn.MSELoss
```
you can specify the option
```
reduction='none'
```
. This then gives you back the squared error for each entry position of both of your tensors. Then you can apply torch.sum/torch.mean.
```
a = torch.randn(2272,161)
b = torch.randn(2272,161)
loss = nn.MSELoss(reduction='none')
loss_r... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | With BERT Text Classification, ValueError: too many dimensions 'str' error occuring
Trying to make a classifier for sentiments of texts with BERT model but getting
```
ValueError : too many dimensions 'str'
```
That is the DataFrame for values of train data so they are train_labels:
```
0 notr
1 notr
2... | REASON
The issue is you are passing a list of strings (str) in torch.tensor() , it only accepts the list of numerical values (integer, float etc.) .
SOLUTION
So I suggest you to convert your string labels into integer values before passing it to the torch.tensor().
IMPLEMENTATION
Following code might help you
```... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | CUDA out of memory error when reloading Pytorch model
Common pytorch error here, but I'm seeing it under a unique circumstance: when reloading a model, I get a
```
CUDA: Out of Memory
```
error, even though I haven't yet placed the model on the GPU.
```
model = model.load_state_dict(torch.load(model_file_path))
o... | The issue is that I was trying to load to a new GPU (
```
cuda:2
```
) but originally saved the model and optimizer from a different GPU (
```
cuda:0
```
). So even though I didn't explicitly tell it to reload to the previous GPU, the default behavior is to reload to the original GPU (which happened to be occupied)... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Disable grad and backward Globally?
How to disable GLOBALLY grad,backward and any other non forward() functionality in Torch ?
I see examples of how to do it locally but not globally ?
The Docs say that what may be I'm looking is Inference only mode ! but how to set it globally. | You can use
```
torch.set_grad_enabled(False)
```
to disable gradient propagation globally for the entire thread. Besides, after you called
```
torch.set_grad_enabled(False)
```
, doing anything like
```
backward()
```
will raise an exception.
```
a = torch.tensor(np.random.rand(64,5),dtype=torch.float32)
l... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to check if model in on CUDA?
I would like to check if model is on CUDA. How to do that?
```
import torch
import torchvision
model = torchvision.models.resnet18()
model.to('cuda')
```
Seams that
```
model.is_cuda()
```
is not working. | This code should do it:
```
import torch
import torchvision
model = torchvision.models.resnet18()
model.to('cuda')
next(model.parameters()).is_cuda
```
Out:
```
True
```
Note there is no
```
is_cuda()
```
method inside
```
nn.Module
```
.
Also note
```
model.to('cuda')
```
is the same as
```
model.cu... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch - Stack dimension must be exactly the same?
In pytorch, given the tensors
```
a
```
of shape
```
(1X11)
```
and
```
b
```
of shape
```
(1X11)
```
,
```
torch.stack((a,b),0)
```
would give me a tensor of shape
```
(2X11)
```
However, when
```
a
```
is of shape
```
(2X11)
```
and
... | It seems you want to use
```
torch.cat()
```
(concatenate tensors along an existing dimension) and not
```
torch.stack()
```
(concatenate/stack tensors along a new dimension):
```
import torch
a = torch.randn(1, 42, 1, 1)
b = torch.randn(1, 42, 1, 1)
ab = torch.stack((a, b), 0)
print(ab.shape)
# torch.Size([... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How do I use a saved model in Pytorch to predict the label of a never before seen image?
I have been trying to use my pretrained model to predict the label on a never before seen image. I have trained a CNN to classify flowers of 5 types using the Kaggle flower recognition dataset. I so far have trained my model to 97... | You can do like this for a single image,
```
import torch
from torchvision.transforms import transforms
from PIL import Image
from cnn_main import CNNet
from pathlib import Path
model = CNNet(5)
checkpoint = torch.load(Path('C:/Users/Aeryes/PycharmProjects/simplecnn/src/19.model'))
model.load_state_dict(checkpoint)
t... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch Operation to detect NaNs
Is there a Pytorch-internal procedure to detect
```
NaN
```
s in Tensors? Tensorflow has the
```
tf.is_nan
```
and the
```
tf.check_numerics
```
operations ... Does Pytorch have something similar, somewhere? I could not find something like this in the docs...
I am looking ... | You can always leverage the fact that
```
nan != nan
```
:
```
>>> x = torch.tensor([1, 2, np.nan])
tensor([ 1., 2., nan.])
>>> x != x
tensor([ 0, 0, 1], dtype=torch.uint8)
```
With pytorch 0.4 there is also
```
torch.isnan
```
:
```
>>> torch.isnan(x)
tensor([ 0, 0, 1], dtype=torch.uint8)
``` |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | How to load a checkpoint file in a pytorch model?
In my pytorch model, I'm initializing my model and optimizer like this.
```
model = MyModelClass(config, shape, x_tr_mean, x_tr,std)
optimizer = optim.SGD(model.parameters(), lr=config.learning_rate)
```
And here is the path to my checkpoint file.
checkpoint_file... | You saved the model parameters in a dictionary. You're supposed to use the keys, that you used while saving earlier, to load the model checkpoint and
```
state_dict
```
s like this:
```
if os.path.exists(checkpoint_file):
if config.resume:
checkpoint = torch.load(checkpoint_file)
model.load_stat... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Pytorch RuntimeError: "host_softmax" not implemented for 'torch.cuda.LongTensor'
I am using pytorch for training models. But I got an runtime error when it was computing the cross-entropy loss.
```
Traceback (most recent call last):
File "deparser.py", line 402, in <module>
d.train()
File "... | I know where the problem is.
```
y
```
should be in
```
torch.int64
```
dtype without one-hot encoding.
And
```
CrossEntropyLoss()
```
will auto encoding it with one-hot (while out is the probability distribution of prediction like one-hot format).
It can run now! |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | TypeError: linear(): argument 'input' (position 1) must be Tensor, not str
so ive been trying to work on some example of bert that i found on github as its the first time im trying to use bert and see how it works. The respiratory im working with is the following:
https://github.com/prateekjoshi565/Fine-Tunin... | I've been working on this repo too.
Motivated by the answer provided on this
link
. There is a class probably named Bert_Arch that inherits the nn.Module and this class has a overriden method named forward. Inside forward method just add the parameter 'return_dict=False' to the self.bert() method call. Like so:
```
_... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | from torch._C import * ImportError: DLL load failed: The specified module could not be found
I am trying to
```
import torch
```
in my windows machine using python 3.5. (CPU only)(pip)
I have followed the steps given in the
official website
.
When I try to import torch it gives me the error:
```
from torch._C... | I've been encountering the same problem. Pytorch seems to require openmp, however this is not part of the PIP distribution.
If you install Pytorch through Anaconda, the Anaconda install includes openmp, so this problem goes away.
To resolve this problem with pip, you can
pip install intel-openmp
but you still ... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | PyTorch DataLoader - "IndexError: too many indices for tensor of dimension 0"
I am trying to implement a CNN to identify digits in the MNIST dataset and my code comes up with the error during the data loading process. I don't understand why this is happening.
```
import torch
import torchvision
import torch... | The problem is that the
```
mean
```
and
```
std
```
have to be sequences (e.g., tuples), therefore you should add a comma after the values:
```
transform = transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.5,), (0.5,))
])
```
Note the difference between
```
(0.5)
```
and
```
... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Loading the pre-trained model of torch and sentence_transformers when running in a docker container failing
I am getting below error while loading the pre-trained model of torch and
```
sentence_transformers("distilbert-base-nli-stsb-mean-tokens")
```
when trying to run in a docker container.
```
Error: Invalid v... | sentence-transformers downloads and stores model in ~/.cache directory (or whatever the cache_folder evaluates to be in -
https://github.com/UKPLab/sentence-transformers/blob/a13a4ec98b8fdda83855aca7992ea793444a207f/sentence_transformers/SentenceTransformer.py#L63
). For you this looks like the /nonexistant directory.... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | Why define a backward method for a custom layer in Pytorch?
I am currently constructing a model in Pytorch that requires multiple custom layers. I have only been defining the forward method and thus do not define a backward method. The model seems to run well, and the optimizer is able to update using the gradients fr... | In very few cases should you be implementing your own backward function in PyTorch. This is because PyTorch's autograd functionality takes care of computing gradients for the vast majority of operations.
The most obvious exceptions are
You have a function that cannot be expressed as a finite combination of other diff... |
You are a PyTorch debugging assistant. Given an error message or problem description, explain the root cause and provide a fix. | nvcc not found but cuda runs fine?
I was trying to run
```
nvcc -V
```
to check cuda version but I got the following error message.
Command 'nvcc' not found, but can be installed with:
sudo apt install nvidia-cuda-toolkit
But gpu acceleration is working fine for training models on cuda. Is there another way to f... | Most of the time, nvcc and other CUDA SDK binaries are not in the environment variable PATH. Check the installation path of CUDA; if it is installed under
```
/usr/local/cuda
```
, add its bin folder to the PATH variable in your
```
~/.bashrc
```
:
```
export CUDA_HOME=/usr/local/cuda
export PATH=${CUDA_HOME}/bi... |
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