From 741f426f8e16b4d5f5f9e7483aed552f43e484f9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Joonhyung=20Lee/=EC=9D=B4=EC=A4=80=ED=98=95?=
 <33523965+veritas9872@users.noreply.github.com>
Date: Sun, 9 Apr 2023 18:39:33 +0900
Subject: [PATCH] Bug/curl (#115)

* Fix `curl` to always be verbose for debugging.

* Add comment that PyTorch runtime performance may be suboptimal in base Ubuntu and that using NVIDIA-provided images may be better.
---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 22c470d..027d915 100644
--- a/README.md
+++ b/README.md
@@ -89,7 +89,9 @@ Different Docker Compose services are organized to serve different needs.
   Docker. It installs all packages via `conda` by default and can optionally
   install highly reproducible environments via `conda-lock`. Note that
   `pip` packages can also be installed via `conda`. Also, the base image can
-  be configured to use images other than the Official Linux Docker images.
+  be configured to use images other than the Official Linux Docker images
+  by specifying the `BASE_IMAGE` argument directly in the `.env` file.
+  PyTorch runtime performance may be superior in official NVIDIA CUDA images.
   **The `simple` service is recommended for users without compiled dependencies.**
 
 The `Makefile` has been configured to take values specified in the `.env` file