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Hello!
I am having some problems when doing predict step.
My GPU memory is 4G, and I set BATCH_SIZE to 4 (which was the minimum value that can support script running). and the log file like this
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i tried to re-implemented on both of them following this code :+1:
```python
import torch
from torch.nn import functional as F
def complex_softmax(input, dim=None):
"""Applies the complex…
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## Bug Description
When run the inference with a converted TensorRT torchscript of [MONAI generative model](https://github.com/Project-MONAI/model-zoo/tree/dev/models/brats_mri_axial_slices_generati…
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[Physics Informed Neural Networks by NVIDIA](https://docs.nvidia.com/deeplearning/modulus/user_guide/theory/recommended_practices.html#physics-informed-neural-networks) ... more generally, [Physics-In…
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# Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation #
- Author: Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen…
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## 🚀 Feature
I would like to request the addition of support for Recurrent Neural Networks (RNNs) in the KFACOptimizer class. Currently, the KFACOptimizer class works for linear and 2D convolution …
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Full Error: C:/w/1/s/windows/pytorch/aten/src/THC/THCTensorScatterGather.cu:188: block: [139,0,0], thread: [416,0,0] Assertion `indexValue >= 0 && indexValue < tensor.sizes[dim]` failed.
C:/w/1/s/win…
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- PyTorch-Forecasting version: 0.9.0
- PyTorch version: 1.9.0
- Python version: 3.9.6
- Operating System: Windows 10
I've been using pytorch forecasting and trying to understand it's internal …
p-c-c updated
10 months ago
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How exactly does the binarize function work in the code? How do I extend it to the CIFAR model?
How does comparing images with random numbers work?
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Code references a `custom_dataset` module that doesn't exist. Removed it. Then I get this ghost parameter
`test.py: error: the following arguments are required: --dataroot`
There seems to be n…