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contrastive loss return nan loss at extreme values #1451

https://github.com/BVLC/caffe/issues/1451

shelhamer commented on Nov 27, 2014. Closing as this should be fixed by #1455 -- thanks @seanbell! shelhamer closed this as completed on Nov 27, 2014. shelhamer changed …


machine learning - caffe loss is nan or 0 - Stack Overflow

https://stackoverflow.com/questions/40468983/caffe-loss-is-nan-or-0

you loss is not 0, not even close.You start with 3.3e+11 (that is ~10^11) and it seems like soon after it explodes and you get nan.You need to drastically scale down you loss …


Caffe | Contrastive Loss Layer - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers/contrastiveloss.html

Caffe. Deep learning framework by BAIR. Created by Yangqing Jia Lead Developer Evan Shelhamer. View On GitHub; Contrastive Loss Layer. Layer type: ContrastiveLoss Doxygen …


Contrastive Loss Explained. Contrastive loss has been …

https://towardsdatascience.com/contrastive-loss-explaned-159f2d4a87ec

# Contrastive loss of the example values # temp parameter t = 0.07 # concatenated vector divided by the temp parameter logits = np.concatenate(([pos_dot], …


Got nan contrastive loss value after few epochs - PyTorch …

https://discuss.pytorch.org/t/got-nan-contrastive-loss-value-after-few-epochs/133404

Try to isolate the iteration which causes this issue and check the inputs as well as outputs to torch.pow.Based on your code I cannot find anything obviously wrong.


Getting Nan after first iteration with custom loss

https://discuss.pytorch.org/t/getting-nan-after-first-iteration-with-custom-loss/25929

Q = get_Q(labels_combined, labels_combined, batch_size) Z,ZZ,E = calculate_Z(torch.transpose(Hc,0,1),torch.transpose(Hs,0,1), Q, device, batch_size) Lr = …


My transformer NMT model is giving "nan" loss value

https://discuss.pytorch.org/t/my-transformer-nmt-model-is-giving-nan-loss-value/122697

The epoch train loss is always nan. ptrblck May 30, 2021, 6:20am #2. If the invalid values is created in the forward pass, you could use e.g. forward hooks to check all …


caffe/contrastive_loss_layer.cu at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/src/caffe/layers/contrastive_loss_layer.cu

caffe / src / caffe / layers / contrastive_loss_layer.cu Go to file Go to file T; Go to line L; Copy path Copy permalink; This commit does not belong to any branch on this repository, and may belong …


Getting NaN for loss - General Discussion - TensorFlow Forum

https://discuss.tensorflow.org/t/getting-nan-for-loss/4826

Here is the code that is output NaN from the output layer (As a debugging effort, I put second code much simpler far below that works. In brief, here the training layers flow goes …


caffe/contrastive_loss_layer.cu at master · intel/caffe

https://github.com/intel/caffe/blob/master/src/caffe/layers/contrastive_loss_layer.cu

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors. - caffe/contrastive_loss_layer.cu at …


Caffe for regression predicts extremely wrong values, but low loss?

https://groups.google.com/g/caffe-users/c/D652H9anWIM

I calculated the loss manually according to the formula listed under EuclideanLoss on the Caffe site (so 1/2m * sum of squared differences) , and I get a loss on the order of 10^6, …


Contrastive Loss contrast loss function and gradient calculation

https://blog.katastros.com/a?ID=00700-27a7b399-a72a-497a-8e9f-b10c22bfdc47

Contrastive loss originally originated from. Yann LeCun ... Definition of Contrastive Loss. In caffe’s twin neural network (siamese network. In ), the loss function used is contrast loss, …


caffe/contrastive_loss_layer.cu at master · HyeonwooNoh/caffe

https://github.com/HyeonwooNoh/caffe/blob/master/src/caffe/layers/contrastive_loss_layer.cu

modified version of caffe which support DeconvNet and DecoupledNet - caffe/contrastive_loss_layer.cu at master · HyeonwooNoh/caffe


Why nan loss values are resulted through deep learning in python?

https://www.researchgate.net/post/Why_nan_loss_values_are_resulted_through_deep_learning_in_python

hist = model.fit (. X_train, Y_train, batch_size=32, epochs=5, validation_data= (X_val, Y_val) ) but in last model.hit stage i get zero accuracy and nan loss values from the fırst epoch. what is ...


Understanding Ranking Loss, Contrastive Loss, Margin Loss, …

https://gombru.github.io/2019/04/03/ranking_loss/

The loss value will be at most \(m\), when the distance between \(r_a\) and \(r_n\) is \(0\). ... Contrastive Loss: Contrastive refers to the fact that these losses are computed …


Get "loss=nan" info at the very beginning; even when setting …

https://groups.google.com/g/caffe-users/c/LVfttqqMN1M

Test net output #0: accuracy = 0.44782. Test net output #1: loss = 0.720437 (* 1 = 0.720437 loss) Iteration 0, loss = nan. Train net output #0: loss = nan (* 1 = nan loss) Iteration …


ZeroDivisionError and Loss goes to NaN with Apex Loss Scaling

https://discuss.pytorch.org/t/zerodivisionerror-and-loss-goes-to-nan-with-apex-loss-scaling/91637

Skipping step, loss scaler 0 reducing loss scale to 5e-324) and looking at the two losses, both losses separately start at around ~10, and then loss_contastive begins rapidly …


Caffe | Layer Catalogue - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/layers.html

The loss itself is computed by the forward pass and the gradient w.r.t. to the loss is computed by the backward pass. Layers: Multinomial Logistic Loss; Infogain Loss - a generalization of …


caffe-yolo/contrastive_loss_layer.cu at master · Harick1/caffe-yolo ...

https://github.com/Harick1/caffe-yolo/blob/master/src/caffe/layers/contrastive_loss_layer.cu

Caffe for YOLO. Contribute to Harick1/caffe-yolo development by creating an account on GitHub.


Caffe Python layer for Contrastive Loss · GitHub - Gist

https://gist.github.com/axel-angel/c2b2943ead94c200574a

Caffe Python layer for Contrastive Loss Raw pyloss.py This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears …


Keras Sequential model returns loss 'nan' - Data Science Stack …

https://datascience.stackexchange.com/questions/68331/keras-sequential-model-returns-loss-nan

I'm implementing a neural network with Keras, but the Sequential model returns nan as loss value. I have sigmoid activation function in the output layer to squeeze output between 0 and 1, but …


Caffe | Solver / Model Optimization - Berkeley Vision

https://caffe.berkeleyvision.org/tutorial/solver.html

If learning diverges (e.g., you start to see very large or NaN or inf loss values or outputs), try dropping the base_lr (e.g., base_lr: 0.001) and re-training, repeating this until you find a base_lr …


Nan training and testing loss - PyTorch Forums

https://discuss.pytorch.org/t/nan-training-and-testing-loss/136115

When trying to use a LSTM model for regression, I find that I am getting NaN values when I print out training and testing loss. The DataFrame I pass into the model has no …


Understanding the behavior of Contrastive Loss - AI-SCHOLAR

https://ai-scholar.tech/en/articles/contrastive-learning/UBCL

The normal and Hard Contrastive Loss results for this measure are as follows. The upper figure shows the normal result and the lower figure shows the Hard Contrastive Loss …


Contrastive-center loss for deep neural networks | DeepAI

https://deepai.org/publication/contrastive-center-loss-for-deep-neural-networks

In this paper, we propose the contrastive-center loss, which learns a center for each class. This new loss will simultaneously consider intra-class compactness and inter-class …


what is causes NaN values in the validation accuracy and loss …

https://www.mathworks.com/matlabcentral/answers/375090-what-is-causes-nan-values-in-the-validation-accuracy-and-loss-from-traning-convolutional-neural-n

so the information about validation and traning accuracy/loss are storage in the variable traininfo.. when i open this variable i found only the first value in iteration number 1 …


[neurox init]; - “Loss” computation of MatConvNet and Caffe

https://neurox.tumblr.com/post/118606428784/loss-computation-of-matconvnet-and-caffe

I wrote a contrastive loss layer for MatConvNet, and somehow the loss value compared to Caffe is dramatically different. After days of working, digging into the codes, I found that both loss.m …


Introduction to Contrastive Loss - Gowri Shankar

https://gowrishankar.info/blog/introduction-to-contrastive-loss-similarity-metric-as-an-objective-function/

The goal of this setup is to minimize the cross-entropy loss and eventually to make the output closer to the one-hot vector $(u)$. Contrastive Loss. The goal of contrastive loss is …


What Is A Contrastive Loss? – IosFuzhu

https://iosfuzhu.com/what-is-a-contrastive-loss/

The authors argue thatSupervised Contrastive Loss can be used to leverage label information. The points belonging to the same class are pulled together in the same way as …


MyCaffe: Member List

https://www.mycaffe.org/onlinehelp/mycaffe/html/_contrastive_loss_layer_8cs_source.html

Deep learning software for Windows C# programmers. ContrastiveLossLayer.cs. 1 using System;


Caffe | Loss - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/loss.html

Loss. In Caffe, as in most of machine learning, learning is driven by a loss function (also known as an error, cost, or objective function). A loss function specifies the goal of learning by mapping …


Contrastive loss - Deep Learning for Computer Vision [Book]

https://www.oreilly.com/library/view/deep-learning-for/9781788295628/0fe2ce8e-9141-4734-a311-41ff109b57c4.xhtml

Contrastive loss. Contrastive loss differentiates images by similarity. The feature or latent layer is compared using a similarity metric and trained with the target for a similarity score. In the case …


Contrastive Loss Representation for Anomaly Detection Has …

https://pureai.com/articles/2022/05/03/anomaly-detection.aspx

The term "contrastive loss" is general, meaning there are several different types of contrastive loss functions, and several different neural architectures that use contrastive loss. …

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