From d123f72b8960d83852a8543e164cf9605fc6ec26 Mon Sep 17 00:00:00 2001 From: agentmarketbot Date: Fri, 3 Jan 2025 10:07:46 +0000 Subject: [PATCH] agent bot commit --- .gitignore | 1 + autograd/two_layer_net_autograd.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 1377554..a8d2fe8 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,2 @@ *.swp +.aider* diff --git a/autograd/two_layer_net_autograd.py b/autograd/two_layer_net_autograd.py index 2a5bb7f..9abe870 100644 --- a/autograd/two_layer_net_autograd.py +++ b/autograd/two_layer_net_autograd.py @@ -13,7 +13,7 @@ through the graph to compute gradients of some downstream (scalar) loss with respect to a Tensor. Concretely if x is a Tensor with x.requires_grad == True then after backpropagation x.grad will be another Tensor holding the gradient -of x with respect to some scalar value. +of scalar (usually loss) with respect to x. """ device = torch.device('cpu')