Questions tagged [torch]

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converting a KL divergence from torch to pytorch

The following code is the KL divergence between a Gaussian posterior and mixture of Gaussian priors and it is part of the model described in this paper. The published code is written in torch language ...
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1answer
258 views

1D target tensor expected, multi-target not supported

I am trying to train my model. My model outputs a [4,2] tensor where 4 is the batch size and 2 because of binary classification. After receiving the outputs I found the index of the maximum element ...
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0answers
23 views

How can I reshape (16,) and (3,112,112) shape to the single (16,3,112,112)? See code below

This is my code; for img_loc in list(self.train_data)[idx]: images_set.append(self.load_ucf_image(img_loc)) print(images_set) And, this is its output ...
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2answers
652 views

Save and Load Simple Transformer Model

I have trained Text classifier using simpleTranformer.ai I am struggling to save and load the model in docker container. Please let me know how can I save the trained model and then load it into ...
1
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1answer
42 views

Torch tensor view and stride mechanics

I want my Mx2xN float tensor to become MxN complex tensor. In this minimal example I supply the the 10x2 matrix which should become the vector [0+10j,1+11j,2+12k,...] ...
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1answer
74 views

Why does my GPU immediately run out of memory when I try to run this code?

I am trying to write a neural network that will train on plays by Shakespeare and then write its own passages. I am using pytorch. For some reason, my GPU ...
3
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1answer
91 views

How to specify version for dependencies so that each one is compatible and stays within a size limit?

I am trying to deploy a web app to Heroku. The free tier is limited to 500 MB. I am using my resnet34 model as a .pkl file. I create model with it using the fastai ...
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0answers
178 views

Why does the learning rate influence whether i get a error from BCE or not? [closed]

When I use a learning rate higher than 0.001, I get this: Assertion `input_val >= zero && input_val <= one` failed. This means that the input I gave ...
2
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1answer
522 views

how to implement squared hinge loss in pytorch

does anyone have any advice on how to implement this loss in order to use it with a convolutional neural network? Also, how should I encode the labels of my training data? We were using one hot ...
2
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1answer
143 views

Colab can not connect to GPU from a python file [closed]

I am trying to run a github deep learning repository in Colab but I can not connect the python files to colab GPU. I can connect to GPU when writing a script in the colab notebook e.g. when I run ...
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0answers
63 views

Write way to add samples to torch TabularDataset

I have a TabularDataset and i would like to add some examples to the dataset. ...
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0answers
56 views

Replacing VGG by LeNet Caffe model

this code works with a VGG caffe model (VGG_ILSVRC_19_layers.caffemodel). When I tried to change the model to a LeNet caffemodel (below the prototxt file), I got the following error. In 6 module of ...
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1answer
5k views

Does torch.cat work with backpropagation?

I was wondering if it was okay to use torch.cat within my forward function. I am doing so because I want the first two columns of my input to skip the middle hidden layers and go directly to the final ...
1
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1answer
52 views

No loss decay while learning Neural Network for X-OR operation in torch

I have implemented a simple 1 hidden layer feed forward neural network in torch to learn X-OR operation. Below is my code: ...
1
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1answer
109 views

Neural network accuracy in Torch depends on compute power?

I am new to machine learning and have quite good understanding of basic concepts. I was implementing a 3 Layer neural network on MNIST dataset with 784, 100, 10 neurons in input, hidden, output layer ...
1
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1answer
286 views

Torch on Gentoo

Has anyone tried to install Torch on top of Gentoo Linux Distribution? I'm very familiar with this distribution, but I'm totally new at torch. Googling a little, I found that Gentoo is not officially ...
1
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1answer
103 views

Unable to figure out nInputPlane in SpatialConvolution in torch?

Documentaion for Spatial Convolution define it as module = nn.SpatialConvolution(nInputPlane, nOutputPlane, kW, kH, [dW], [dH], [padW], [padH]) nInputPlane: The ...
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2answers
3k views

How to handle Memory issues in training Word Embeddings on Large Datasets?

I want to train a word predictability task to generate word embeddings. The document collection contains 243k documents. The code implementation is in torch. I am struggling with the huge size of the ...
1
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0answers
301 views

Multi-GPU, multi-machine computation with Torch

I know that Torch supports multi-GPU computation on the same machine (Example). Is it possible to perform multi-GPU, multi-machine computations with Torch?