I am attempting to make an observation history encoder, where my goal is for a model that takes in as input a variable length sequence of dimension [T...

I wrote code in python and used pytorch library to implement GAN which is an approach to generate pictures. Here is my code: class Reshape(torch.nn.Mo...

How to construct a network such that the input is a coordinate on a cross-section circle and the output is the sum of the squares of that coordinate.i...

During the training of my neural network model, I used a Pytorch's data loader to accelerate the training of the model. But instead of using a fixed b...

I am attempting to segment a 1D pytorch tensor each time when a sequence of x consecutive zeros is encountered. If additional zero elements follow thi...

While looking at PyTorch tutorials, they use classes they define like functions. e.g. #Making an instance of the class NeuralNetwork model = NeuralNet...

The topk operation in Pytorch "Returns the k largest elements of the given input tensor along a given dimension." (from here). But does it have an opp...

It’s my first time trying to use PyTorch with a GPU and I’m struggling. I’m using an Azure Virtual Machine (NCasT4_v3-series) which requires manual co...

I've run into a problem that pytorch (tested with 2.0.1+cu117) does not fail gracefully when CPU OOM occurs. Specifically, I lose all ssh connections ...

In the annotated transformer's implementation of multi-head attention, three tensors (query, key, value) are all passed to a nn.Linear(d_model, d_mode...

Goal: I have a function calling torch.linalg.solve() that I want to run as fast as I can. Setup: I have an input_array (size 50x100x100). I have a hos...

I'm trying to implement a custom neural network model using PyTorch for a classification task. When I inspect the output probabilities, they don't sum...

Question: I need a quick and simple method to transform a PyTorch tensor with dimensions (D, M, M) into a tensor with dimensions (D*4, M//2, M//2) man...

I have tensor with dimension (210,2) using PyTorch. I want to convert it into (15,14,2). Anyone know how to do this? Thank you in advance ...

Can I train a neural network model using PyTorch and then use it in Keras, and vice versa? Are PyTorch and Keras Neural Network models 100% compatible...

I'm replicating the point cloud model from https://github.com/ZrrSkywalker/Point-NN/tree/main using Python 3.7. When I run: pip install pointnet2_ops_...

I'm making an app using gpt-neo and I'm trying to install pytorch, but it won't install. The error message is as follows: C:\Users\Ben>pip install tor...

I'm trying to write a Pytorch loss function that measures the weight similarity of two models with similar but somewhat different structures - namely,...

I am trying to convert a pandas dataframe read from a CSV file to a pytorch tensor, but am getting a type error. I tried doing this: df = pandas.DataF...

I am using a pretrained model from transformers which expects input type to be torch.HalfTensor. However, I have input of type torch.FloatTensor. How ...

Im trying to build and train a very simple 2 layer neural network below I am following the template that pytorch tutorials have ( https://pytorch.org/...

I have a basic linear regression class which created by nn.module, here is the class: class LinearRegressionModel2(nn.Module): def __init__(self): ...

I have a PyTorch model that consists of multiple independent FullyConnectedNetwork instances stored inside an nn.ModuleList. Here's the code: import t...

I have a machine with a AMD RADEON APU: gfx90c I am using arch linux. I have been battling to get the pytorch and tensorflow to use the APU, but so fa...

My written short script of a gcn layer forward pass does not produce expected values. The script contains a graph with 3 nodes with the names 0,1,2. T...