Questions tagged [pytorch]

For questions related to the deep learning PyTorch framework.

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Why does GAN loss converge to log(2) and not -log(2)?

In Goodfellow's paper, he says: Hence, by inspecting Eq. 4 at $D^*_G (\mathbf{x}) = \frac{1}{2}$, we find $C(G) = \log \frac{1}{2}+ \log \frac{1}{2} = − \log 4$. To see that this is the best ...
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50 views

Can you train Transformers sequentially?

I’m currently trying to train a BART, which is a denoising Transformer created by Facebook researchers. Here’s my Transformer code ...
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Understanding log_prob for Normal distribution in pytorch [migrated]

I'm currently trying to solve Pendulum-v0 from the openAi gym environment which has a continuous action space. As a result, I need to use a Normal Distribution to sample my actions. What I don't ...
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Error: AttributeError: module 'transformers' has no attribute 'TFBertModel' [migrated]

I am applying transfer learning with the python framework (PyTorch). I am getting the below error, when loading a PyTorch pre-trained model in Google Colab. After changing the code 1 to be as code 2, ...
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Is it possible to do token classification using a model such as GPT-2?

I am trying to use PyTorch's transformers as a part of a research project to do sentiment analysis of several types of review data (laptop and restaurant). To do this, my team is taking a token-...
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1answer
27 views

time-series prediction : loss going down, then stagnates with very high variance

I am trying to design a model based on LSTM cells to do time-series prediction. The ouput value is an integer in [0,13]. I have noticed that one-hot encoding it and ...
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34 views

What are the pros and cons of Keras, PyTorch and Caffe for computer vision?

I have tried to get the basic grasp of the following deep learning frameworks with python: Keras Pytorch Caffe However, I have lately noticed that people in the computer vision community care less ...
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Which hidden state should I use for a trajectory when incorporating LSTM into RL?

I'm trying to wrap my head around using LSTM in an RL algorithm like actor-critic or PPO. I've found this Github code which presents this in a very simple manner, however I have a very limited ...
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Pytorch deep learning models and tabular data representation

I have quite a naive question regarding Pytorch deep learning models and tabular data representation. So, assume I have a dictionary of tables. Each table has some number of columns: categorical and ...
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98 views

Is there a reason to use TensorFlow over PyTorch for research purposes?

I've been using PyTorch to do research for a while and it seems to be quite easy to implement new things with. Also, it is easy to learn and I didn't have any problem with following other researchers ...
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What is the equivalent PyTorch version of tensorflow lite

Update Checked the PyTorch Mobile which is designed to Android and iOS. Although according to the document, it says it can build for ARM CPUs, but there isn't any documentation mention about how to ...
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RealNVP gives wrong probabilities

I am trying to use RealNVP with some data I have (the input size is a 1D vector of size 22). Here is the link to the RealNVP paper and here is a nice, short explanation of it (the paper is pretty long)...
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Why does the BatchNormalization layer produce different outputs during training and inference?

I modified resnet50 architecture to get a regression network. I just add batchnorm1d and ReLU layers just before the fully connected layer. During the training, the output of batchnorm1d layer is ...
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80 views

What are the differences between TensorFlow and PyTorch?

What are the differences between TensorFlow and PyTorch, both in terms of performance and functionality?
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Why is this deep Q agent constantly learning just one action?

I'm trying to implement deep q learning in the OpenAI's gym "Taxi-v3" environment. But my agent only learns to do one action in every state. What am I doning wrong? Here is the Github repository with ...
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1answer
37 views

Why does PyTorch use a different formula for the cross-entropy?

In my understanding, the formula to calculate the cross-entropy is $$ H(p,q) = - \sum p_i \log(q_i) $$ But in PyTorch nn.CrossEntropyLoss is calculated using this ...
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FastAi How to turn off crop in ImageDataBunch

I just trained my birds model. It works fine when I was testing it with close pictures. But when I moved the pictures further away my camera, the model was not able to detect birds. My guess is in ...
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Why is my variational auto-encoder generating random noise?

This is my first variational autoencoder. Background info: I am using the MNIST digits dataset. The model is created and trained in PyTorch. The model is able to get a reasonably low loss, but the ...
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How can I train a neural network to find the hyper-parameters with which the data was generated?

I have 10000 tuples of numbers (x1, x2, y) generated from the equation: y = np.cos(0.583 * x1) + np.exp(0.112 * x2). I want to ...
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Why are the current means and the old ones the same in this implementation of Elastic Weight Consolidation?

I'm trying to re-implement Elastic Weight Consolidation (EWC) as outlined in this paper. As a reference, I am also using this Github repository (another implementation). My model/idea is pretty ...
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129 views

How can I train YOLO with the COCO dataset?

I am trying to implement the original YOLO architecture for object detection, but I am using the COCO dataset. However, I am a bit confused about the image sizes of COCO. The original YOLO was trained ...
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Can Grad CAM feature maps be used for Training?

I am trying to recreate the architecture of the following paper: https://arxiv.org/pdf/1807.03058.pdf Can someone help me in explaining how are the feature maps coming out of the output of GradCam ...
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53 views

Focal loss for imbalanced multi class classification in Pytorch

I want an example code for Focal loss in PyTorch for a model with three class prediction. My model outputs 3 probabilities. ...
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0answers
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How to train LSTM score prediction with very little data? (Bounty to be added)

I am trying to make a text score prediction network, and my dataset have 500 samples only. I know there is a public dataset called the ASAP Dataset. I have tested my model ...
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1answer
62 views

How is the policy gradient's derivative work?

I am trying to understand policy gradient method using a pytorch implementation and this tutorial. My first question is about the end result of this gradient derivation, mainly in this equation $\...
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41 views

Training network with 4 GPUs performance is not exactly 4 times over one GPU why?

Training neural network with 4 GPUs using pyTorch, performance is not even 2 times (btw 1 & 2 times) compare to using one GPU. From Nvidia-smi we see GPU usage is for few milliseconds and next 5-...
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1answer
46 views

Is this learning rate schedule increasing the learning rate?

I was reading a PyTorch code then I saw this learning rate scheduler: ...
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1answer
110 views

Confused with backprop in pytorch with BCE loss

I've a prediction matrix(P) of dimension 3x3 and one-hot encoded label matrix(L) of dimension 3x3 as shown below. ...
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616 views

How to transfer learn Darknet YOLOv3

I've started getting into object detection in image. I have YOLOv3 neural network with Darknet framework. The network is pre-trained from COCO data set. Now I need to do some transfer learning in ...
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1answer
81 views

Issue at training simple RNN for word generation

After completing Coursera course from Andrew Ng, I wanted to implement again simple RNN for generating dinosaurs name based on a text file containing around 800 dinosaurs name. This is done with ...
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Training, validation loss and accuracy yolov3?

This is a version of Yolo V3 implemented in PyTorch – YOLOv3 in PyTorch I am trying to use transfer learning to train this yolov3 implementation following the directions given in this post. This is ...
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32 views

Initial LSTM hidden state and cell

If we use LSTMCell from torch: The initial hidden and cell layers should be CONSTANT (from the first time you run the program) and saved right? Like random seeds? ...
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Super Resolution CNN generates black dots on output images

I have been trying to train a CNN for the super-resolution task based on the work of Dong et al., 2015 [1]. The network structure built in PyTorch is as follows: ...
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1answer
119 views

Are the training loss and validation loss plotted per sample or per batch?

I am using a CNN to train on some data, where training size = 21700 samples, and test size is 653 samples, and say I am using a batch_size of 500 (I am accounting for samples out of batch size as well)...
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1answer
76 views

LSTM text classifier shows unexpected cyclical pattern in loss

I'm training a text classifier in PyTorch and I'm experiencing an unexplainable cyclical pattern in the loss curve. The loss drops drastically at the beginning of each epoch and then starts rising ...
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25 views

How to implement Multiple Neural network architecture, connected in parallel and series in Keras or Pytorch

Hello Dear StackExchange members, I want to make a deep network as shown in the image. I want each 'network 1 to look at the specific part of the input and I don't want to divide my input beforehand ...
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1answer
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Which is better to start deep learning and understand it in depth (and not just a simple overview) - pytorch or tensorflow 2.0?

I am beginning to learn deep learning. I recently spoke with an expert in the field. He suggested that I start with pytorch because of these reasons: Keras abstracts the stuff a lot that we will not ...
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Limits for a bottleneck

I have some 64x64 pixels frames from a (simulated) video, with a spaceship moving on a fixed background. The spaceship moves in a straight line with constant velocity from left to right (along the x-...
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31 views

Add a layer derivative in the loss function

I am writing a NN in pytorch and I want to add the derivative of the output with respect to one of the inner layers in the loss. Here is a simple example of what I mean: ...
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1answer
48 views

How to add some data input in a CNN?

There is this problem I have encountered, I was trying to classify the pixels from input image into classes, sort of like segmentation, using a encoder-decoder CNN. The “interested” pixels usually ...
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1answer
43 views

How to properly optimize shared network between actor and critic?

I'm building an actor-critic reinforcment learning algorithm to solve environments. I want to use a single encoder to find representation of my environment. When I share the encoder with the actor ...
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1answer
127 views

Heavy loss and inaccurate answer in pytorch

As my first AI model I have decided to make an AI model to predict multiplication of two numbers EX - [2,4] = [8]. I wrote the following code, but the loss is very high, around thousands, and it's ...
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1answer
189 views

LSTM is not converging

I am writing my first LSTM network and I would really appreciate if someone can tell me if it is right (the loss seems to go down very slowly and before playing around with hyper parameters I want to ...
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1answer
848 views

How to export Pytorch Deep Neural Networks trained model to C++ program to use it from C++? [closed]

I want to build a DNN model that I will later integrate into a C++ program. I heard that PyTorch model is hard to load it on C++ and the integration requires extra code, and it's complicated. I have ...
3
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1answer
59 views

Mnist CNN Architecture

In this tutorial from Jeremy Howard: What is torch.nn really? he has an example towards the end where he creates a CNN for mnist. In nn.Conv2d he makes the ...
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How to make episode ending “good” in reinforcement learning?

TL;DR: read the bold. The rest are details I am trying to implement Reinforcement Learning:An Introduction, section 13.5 myself: on OpenAi's cartpole The algorithm seems to be learning something ...
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1answer
461 views

Why isn't my model learning satisfactorily?

The problem to solve is non-linear regression of a non-linear function. My actual problem is to model the function "find the max over many quadratic forms": ...