Comments (1)
rnyak
commented on June 4, 2024
@mikemckiernan and @edknv hello. do you mind to test Nick's question above and update the Readme accordingly? Btw, our read me gives this command for conda installation conda install -c nvidia -c rapidsai -c numba -c conda-forge merlin-dataloader python=3.7 cudatoolkit=11.2. I see that it uses Python 3.7. I assume our never lib (nvt, core, ..) versions do not support 3.7. so we need 3.8+, dont we? thanks!
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Related Issues (20)
- Change dataloader to output 1D tensors for scalar features HOT 1
- GPU is not detected properly when using SLURM HOT 5
- GPU memory does not get freed up properly after each batch HOT 5
- 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
- NVTabular KerasSequenceLoader cost long time to load data HOT 3
- How to use dataloader without NVTabular? HOT 1
- Support for images from spark DataFrame
- 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
- 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
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