Feb 23, 2019 · Hello everyone, I have been trying to replicate some of the notebooks in the fastai course in pure PyTorch(to understand more whats happening behind the scenes). I am currently working on …

Nov 13, 2020 · Hi, I’ve just begun using Pytorch and was going through the RNN example in https://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial. As per my understanding, …

Jan 21, 2019 · PyTorch default RNN has batching by default forward pass wants 3D tensors. My custom GRU class accepts input as 3D tensor [batches, characters, vectors] where characters are input …

Dec 30, 2020 · Use SHAP Values for PyTorch RNN / LSTM deep-learning, pytorch, lstm, recurrent-neural-network asked by Quastiat on 07:37PM - 15 Oct 19 UTC

Apr 6, 2018 · The RNN_Encoder is an nn.Sequential model (subclass) that contains two layers. For things that aren’t sequential models it starts to become a bit difficult to say how many layers they …

Apr 14, 2018 · Assertion Error - Pytorch Part 1 (2018)Beginner (2018) abhinavbh08 (Abhinav Bhatt) April 14, 2018, 8:04pm 1

Jun 21, 2020 · After digging around Pytorch distributed launch utility now I understand that it uses subprocess.Popen () hence memory sharing may not be possible, instead torch.multiprocessing is …

Aug 4, 2018 · Dear all, after developing some intuition about RNNs from lectures 6 & 7, I took it upon myself to derive all the maths required to backprop through an RNN. I have written a detailed …

Oct 22, 2018 · In the current implementation, the RNN output pooling calculates the average of the entire tensor including the padding. This pooling creates inconsistent behavior when predicting …

Sep 25, 2017 · Just getting started with transfer learning in PyTorch and was wondering … What is the recommended way(s) to grab output at intermediate layers (not just the last layer)? In particular, how …