Comments (5)
yes, that solves the issue for me @rnyak
from dataloader.
Hi @rnyak,
are there any updates on this issue? Thank you!
from dataloader.
Could this be related to #76? It sounds like calling loader.stop()
or better yet the context manager could help release the memory properly.
from dataloader.
How does calling loader.stop()
help with the memory consumption during training (while the loader gets consumed)? The problem isn't that the memory doesn't get properly released at the end of the training but rather during training.
from dataloader.
@felix0097 thanks for reporting that. we are not looking into that issue right now, due to some other tasks. So does manually calling garbage collection helps you?
from dataloader.
Related Issues (20)
- Change dataloader to output 1D tensors for scalar features HOT 1
- GPU is not detected properly when using SLURM HOT 5
- Feed pre-trained embeddings to NVTabular HOT 6
- [FEA] Data loader: support to padding sparse sequential features on the left side HOT 11
- Dataloader does not work with tf.keras.layers.Embedding HOT 7
- Device assignment does not work in PyTorch HOT 4
- Out-of-memory error when iterating over merlin.dataloader.torch.Loader HOT 1
- PyTorch Loader not working HOT 1
- [BUG] Unable to extract session embeddings from a session-based transformer model HOT 3
- Can't import Loader HOT 4
- [Task] Add multi-gpu data parallel example
- [Feature Request] Make the torch dataloader support TensorDict
- Does this work with images? HOT 1
- [BUG] Exception in model when using ragged tensors with tensorflow 2.10.0 HOT 9
- [BUG] Data parallel training freezes due to different number of batches HOT 17
- [BUG] Dataloader doesnt release memory and memory growth HOT 6
- NVTabular KerasSequenceLoader costs longer time to load multi-hot features than one-hot features HOT 2
- [Question] OOM Is there a way not to load the whole dataset in the dataloader? HOT 1
- Shuffle doesn't work HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dataloader.