Questions tagged [pruning]
Use pruning for questions related to algorithms used on data structures to facilitate generalization and performance optimization.
pruning
194
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compress yolov8 object detection model (.pt file)
I've tried compressing my .pt file using pruning, quantization, and various other methods, but these attempts have doubled the file size 20mb file becomes 40mb. If anyone has any ideas on how to ...
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issue in PostgrelSQL 15.3 with partition pruning
I have two tables partitioned by range on column day,(this is an oversimplification for a more complex design), tables appear similar but day field refers to completly different concept than day in ...
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Why does my pruned model have a larger file size than my initial model?
I'm exploring pruning a neural network using this example. My pruning code, using a pre-trained model, looks like this:
prune_low_magnitude = tfmot.sparsity.keras.prune_low_magnitude
# Compute end ...
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1
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Pruned model size is the same of non-pruned model [PyTorch]
I'm trying to implement model pruning on PyTorch with a ResNet18. Given an instance of ResNet18, I run the following code to load a pre-trained model, prune it and save the pruned model:
def ...
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Error when pruning a model: model = (ckpt.get("ema") or ckpt["model"]).to(device).float() # FP32 model
I am trying to prune a YOLOv8 detection model. Following is my code and it runs successfully and I see the saved pruned model. But when I want to train it or run prediction on it, I get the following ...
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How to solve deepcopy error of a pruned model in pytorch
I am trying to build a RL model, where my actor network has some pruned connections.
When using the data collector SyncDataCollector from torchrl, the deepcopy fails (see error below).
This seems to ...
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How to prune random forest regression in Optuna?
I am working on machine learning model and trying to tune hyperparameters with Optuna. I want to try pruning, but I dont know how to implement this feature. I am using random forest regressor and ...
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How to implement optuna pruner in pytorch lightning?
I am trying to carry out hyperaprameter optimization of a TFT model from the Pytorch forecasting library. For this I am using pytorch lightning for training and Optuna for hyperparameter optimization.
...
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Pruned model not only couldn't decrease the inference time but also increased
I pruned my pre-trained model and the I can clearly see the impact on total model parameters but actually in inference time, as long as I increase the pruning percentage, the inference time gets worse ...
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Pruning a yolov8 model
I have pruned a yolov8 model using : from torch.nn.utils import prune and the l1.structured method. I obtain a pruned_model.pt file. The pruned model's size was bigger than my original model. This ...
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How can I use pytorch to implement layer pruning of my own defined resnet series models?
Hello everyone!This is my initial question. Thank you very much for your help.
I now want to directly delete a certain convolutional layer in my model, such as a convolutional layer in resnet18 with ...
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Pruning Pretrained Neural Networks
I try to remove the neurons that was under the required threshold not to do them 0 but to delete it from the VGG neural network.
I did the follow:
import tensorflow as tf
Load the VGG16 model
model = ...
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Filter out unused blobs after cloning [duplicate]
You can do a partial clone without blobs like this:
git clone --filter=blob:none
This will make Git lazily download blobs when needed (when a checkout or diff is done for instance).
According to my ...
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Neural Network Pruning in PyTorch - from scratch
I am trying to implement global, unstructured pruning algorithm closely based on The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks, Frankle et al. and Comparing Rewinding and ...
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Pytorch pruning channels of trained ResNet model while preserving the unpruned channels’ weight?
I want to ask whether there is a method to prune channels of trained ResNet model while preserving the unpruned channels’ weight? The pruning method I used is similar to "Pruning from Scratch&...