![Pytorch Tutorial from Basic to Advance Level: A NumPy replacement and Deep Learning Framework that provides maximum flexibility with speed | by Kunal Bhashkar | Medium Pytorch Tutorial from Basic to Advance Level: A NumPy replacement and Deep Learning Framework that provides maximum flexibility with speed | by Kunal Bhashkar | Medium](https://miro.medium.com/v2/resize:fit:1400/1*2uE-4KFdW1cXz_AFXm9V4w.jpeg)
Pytorch Tutorial from Basic to Advance Level: A NumPy replacement and Deep Learning Framework that provides maximum flexibility with speed | by Kunal Bhashkar | Medium
F.pad input pad_size=[0,0] will cause custom backward function throw RuntimeError: leaf variable has been moved into the graph interior · Issue #31748 · pytorch/pytorch · GitHub
![torch.nn.functional.pad generates incomplete ONNX without explicit padding value · Issue #84979 · pytorch/pytorch · GitHub torch.nn.functional.pad generates incomplete ONNX without explicit padding value · Issue #84979 · pytorch/pytorch · GitHub](https://user-images.githubusercontent.com/34959032/190045012-e33d447f-f633-449a-a19c-9870de309098.png)
torch.nn.functional.pad generates incomplete ONNX without explicit padding value · Issue #84979 · pytorch/pytorch · GitHub
![IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensions were [-1,2] - TensorRT - NVIDIA Developer Forums IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensions were [-1,2] - TensorRT - NVIDIA Developer Forums](https://global.discourse-cdn.com/nvidia/optimized/3X/a/6/a67bdf53b6ff1d58b4538dec6de7fb5408310be7_2_619x500.png)
IShuffleLayer applied to shape tensor must have 0 or 1 reshape dimensions: dimensions were [-1,2] - TensorRT - NVIDIA Developer Forums
![Wayne Polatkan on X: "Ah, so thats how (custom) padding in pytorch works. so just apply to input in fwd pass before sending it through a conv layer eh? pytorch docs: https://t.co/xncLTKRGxu Wayne Polatkan on X: "Ah, so thats how (custom) padding in pytorch works. so just apply to input in fwd pass before sending it through a conv layer eh? pytorch docs: https://t.co/xncLTKRGxu](https://pbs.twimg.com/media/DgACQVZU0AAyHMl.jpg)