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Add apple silicon info #4

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14 changes: 8 additions & 6 deletions lightly_solution.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -4,12 +4,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"This jupyter notebook must run on a x86 CPU (Intel or AMD), which excludes Apple Mx CPUs. We recommend running it on a Linux machine. It works both with and without a Nvidia GPU."
"We recommend running this notebook on a Linux machine. It works both with and without an Nvidia GPU. \n",
"\n",
"> 🚧 If you use a Mac with an Apple silicon chip, make sure to enable Rosetta emulation in Docker Desktop for fast processing. To enable it go to `Docker Desktop > Settings > General > Use Rosetta for x86_64/amd64 emulation on Apple Silicon`. This requires [Docker Desktop](https://docs.docker.com/desktop/install/mac-install/) 4.25 or later."
]
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 1,
"metadata": {},
"outputs": [
{
Expand All @@ -31,7 +33,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 2,
"metadata": {},
"outputs": [
{
Expand All @@ -57,7 +59,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -102,7 +104,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 4,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -151,7 +153,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 5,
"metadata": {},
"outputs": [
{
Expand Down