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## 📚 Documentation
In the documentation of [PyTorch Model Zoo](https://pytorch.org/vision/stable/models.html), it is suggested that:
> H and W are expected to be at least 224.
Technically, for …
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1. Is it possible to replace caffe (the slowest in the Python platform) with PyTorch (fastest overall) or MXNet (can beat PyTorch in parallel GPUs)
2. Is it possible to replace VGG7 with Inception or…
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Hi:
first ,thanks for your code samples,but i do not understand how to use "Forward_DetectionOutputLayer"?
i see your comment "I removed the 'detection_out' layer, and calculated the final output th…
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After serious perf improvements by NVIDIA's CUDNN R4 across board, I suppose Nervana weren't too happy to be left behind.
They've just released (as part of Neon) their Winograd-based kernels which ha…
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**System information**
- TensorFlow version (you are using): `2.6.0.dev20210512`
- Are you willing to contribute it (Yes/No): Yes (I am not familiar with that part of the codebase so would need a bi…
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Compared to previous Keras implementation, the evaluation takes a really long time (on GPU). It takes few minutes to evaluate while it takes ~ 30/35 seconds to train...
This could be related to #5…
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Greetings!
It's probably a small issue in most image-CNN-related cases, but when dealing with text, multi-input NNs, reinforcement learning or long-term memory networks some layers should be applied …
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Hello, thank you for the open source code.
After reading your article and code, I have a question. Why is it faster on the Argo2 dataset than VoxelNeXt?
SAFDNet has significantly more Sparse con…
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### Reproducing code example:
```python
import random
import time
# import matplotlib
import numpy as np
from scipy.fftpack import fft
# import cv2
coordinate = np.ndarray((1920, …
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### Summary
Last year, we released [pytorch-labs/torchao](https://github.com/pytorch-labs/ao) to provide acceleration of Generative AI models using native PyTorch techniques. Torchao added support …