Computation times#
00:00.000 total execution time for 35 files from intermediate:
Example |
Time |
Mem (MB) |
|---|---|---|
Hooks for autograd saved tensors ( |
00:00.000 |
0.0 |
Multi-Objective NAS with Ax ( |
00:00.000 |
0.0 |
NLP From Scratch: Classifying Names with a Character-Level RNN ( |
00:00.000 |
0.0 |
NLP From Scratch: Generating Names with a Character-Level RNN ( |
00:00.000 |
0.0 |
Fusing Convolution and Batch Norm using Custom Function ( |
00:00.000 |
0.0 |
Recurrent DQN: Training recurrent policies ( |
00:00.000 |
0.0 |
Model ensembling ( |
00:00.000 |
0.0 |
Forward-mode Automatic Differentiation (Beta) ( |
00:00.000 |
0.0 |
(beta) Building a Simple CPU Performance Profiler with FX ( |
00:00.000 |
0.0 |
Inductor CPU backend debugging and profiling ( |
00:00.000 |
0.0 |
Jacobians, Hessians, hvp, vhp, and more: composing function transforms ( |
00:00.000 |
0.0 |
Train a Mario-playing RL Agent ( |
00:00.000 |
0.0 |
Channels Last Memory Format in PyTorch ( |
00:00.000 |
0.0 |
sphx_glr_intermediate_mnist_train_nas.py ( |
00:00.000 |
0.0 |
Neural Tangent Kernels ( |
00:00.000 |
0.0 |
How to save memory by fusing the optimizer step into the backward pass ( |
00:00.000 |
0.0 |
Parametrizations Tutorial ( |
00:00.000 |
0.0 |
Per-sample-gradients ( |
00:00.000 |
0.0 |
A guide on good usage of non_blocking and pin_memory() in PyTorch ( |
00:00.000 |
0.0 |
Pruning Tutorial ( |
00:00.000 |
0.0 |
Reinforcement Learning (PPO) with TorchRL Tutorial ( |
00:00.000 |
0.0 |
Reinforcement Learning (DQN) Tutorial ( |
00:00.000 |
0.0 |
(Beta) Implementing High-Performance Transformers with Scaled Dot Product Attention (SDPA) ( |
00:00.000 |
0.0 |
NLP From Scratch: Translation with a Sequence to Sequence Network and Attention ( |
00:00.000 |
0.0 |
Spatial Transformer Networks Tutorial ( |
00:00.000 |
0.0 |
PyTorch Profiler With TensorBoard ( |
00:00.000 |
0.0 |
Building a Convolution/Batch Norm fuser with torch.compile ( |
00:00.000 |
0.0 |
torch.compile End-to-End Tutorial ( |
00:00.000 |
0.0 |
Introduction to torch.compile ( |
00:00.000 |
0.0 |
torch.export Tutorial ( |
00:00.000 |
0.0 |
Introduction to TorchRec ( |
00:00.000 |
0.0 |
TorchVision Object Detection Finetuning Tutorial ( |
00:00.000 |
0.0 |
Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile() ( |
00:00.000 |
0.0 |
Using Variable Length Attention in PyTorch ( |
00:00.000 |
0.0 |
Visualizing Gradients ( |
00:00.000 |
0.0 |