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First thanks for the awesome package.
I have model trained on a GPU and want to run inference on a CPU.
`import torch
model = torch.load('/implicit_new.pt',map_location={'cuda:0': 'cpu'})
`
T…
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This issue supersedes the 0.4 work towards array nirvana (#7941), and ~~will~~ tracks the issues we aim to complete during 0.5 and beyond — now updated through work on 0.7. This is an umbrella issue …
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### System Information
- **Framework (e.g. TensorFlow) / Algorithm (e.g. KMeans)**: SageMaker/Factorization Machine
- **Framework Version**:
- **Python Version**…
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@ahwillia Here is my plan for evaluating the tensor factorization code on prefrontal calcium imaging data:
1. Compare "naive" vs. "align" exports (per #226). In particular, I would like to do a det…
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Few examples are incorrect on this page:
https://smurff.readthedocs.io/en/latest/notebooks/different_noise_models.html
The examples of "Adaptive noise", "Binary matrices" get in `Y` parameter, w…
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**System information**
- Windows 10 Pro
- TensorFlow installed from source
- TensorFlow 1.11
- Python 3.6
- CMake 3.10.1
- CUDA 10/cuDNN 7.3.1
- NVIDIA Geforce 980GTX
I am trying to build …
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Hi all, I got the following error when I tried to run the demo.sh:
> ```Error in `python': free(): invalid next size (fast)```
Has anyone encountered the same problem / What could be the solutio…
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If I have a BibTeX entry like:
```bibtex
@inproceedings{ozerov_multichannel_2011,
title = {Multichannel Nonnegative Tensor Factorization with Structured Constraints for User-Guided Audio Source…
ssfrr updated
6 years ago
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I am currently running tensorflow-gpu 1.9 avx2 with cuda 9.2. When I train the model below, I notice that my CPU usage is 99% but my Tesla M60 usage is at 0%.
def input_fn():
retu…