lint checks addressed

Author: nikhilsk

.github/workflows/linting.yml

@@ -3,11 +3,9 @@ name: Linting
 on:
   push:
     branches:
-      - develop
       - main
   pull_request:
     branches:
-      - develop
       - main
 
 jobs:

.wordlist.txt

@@ -907,3 +907,7 @@ datacenter
 programmability
 uptime
 TPX
+daemon
+workaround
+VirtioFS
+paravirtualization

README.md

@@ -4,7 +4,7 @@ AMD Container Toolkit offers tools to streamline the use of AMD GPUs with contai
 -  ```amd-ctk``` - The AMD Container Toolkit CLI
 
 # Requirements
-- Ubuntu 22.02 or 24.04, or RHEL/CentOS 9
+- Ubuntu 22.04 or 24.04, or RHEL/CentOS 9
 - Docker version 25 or later
 - All the 'amd-ctk runtime configure' commands should be run as root/sudo
 
@@ -24,7 +24,7 @@ To install the AMD Container Toolkit on Ubuntu systems, follow these steps:
    wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | tee /etc/apt/keyrings/rocm.gpg > /dev/null
    ```
 
-3. Add the repository to your system. Replace `noble` with `jammy` if you are using Ubuntu 22.04:
+3. Add the repository to the system. Replace `noble` with `jammy` when using Ubuntu 22.04:
    ```bash
    echo "deb [signed-by=/etc/apt/keyrings/rocm.gpg] https://repo.radeon.com/amd-container-toolkit/apt/ noble main" > /etc/apt/sources.list.d/amd-container-toolkit.list
    ```
@@ -180,7 +180,7 @@ The AMD Container Toolkit supports GPU selection using unique identifiers (UUIDs
 
 ## Getting GPU UUIDs
 
-You can obtain GPU UUIDs using different tools:
+GPU UUIDs can be obtained using different tools:
 
 ### Using ROCm SMI
 ```bash
@@ -194,7 +194,7 @@ GPU[1]          : Unique ID: 0x1234567890abcdef
 ```
 
 ### Using AMD-SMI
-You can also use `amd-smi` to get the ASIC_SERIAL, which serves as the GPU UUID:
+The `amd-smi` tool can also be used to get the ASIC_SERIAL, which serves as the GPU UUID:
 
 ```bash
 amd-smi static -aB
@@ -223,7 +223,7 @@ GPU: 0
         MANUFACTURER_NAME: AMD
 ```
 
-Use the `ASIC_SERIAL` value (e.g., `0xD1CC3F11CFDD5112`) as the GPU UUID in your container configurations.
+Use the `ASIC_SERIAL` value (e.g., `0xD1CC3F11CFDD5112`) as the GPU UUID in container configurations.
 
 ## Using UUIDs with Environment Variables
 

docs/container-runtime/docker-swarm.md

@@ -1,10 +1,10 @@
 # Docker Swarm Integration
 
-### Purpose
+## Purpose
 
 Docker Swarm integration allows orchestrated GPU workloads to be deployed across multiple nodes by leveraging **GPU UUIDs** and Docker’s resource framework.
 
-### Docker Daemon Configuration for Swarm
+## Docker Daemon Configuration for Swarm
 
 Configure each swarm node's Docker daemon with GPU resources in `/etc/docker/daemon.json`:
 
@@ -26,10 +26,12 @@ Configure each swarm node's Docker daemon with GPU resources in `/etc/docker/dae
 ```
 
 After updating the configuration, restart the Docker daemon:
+
 ```bash
 sudo systemctl restart docker
 ```
-### Deploy GPU Enabled Services
+
+## Deploy GPU Enabled Services
 
 Deploy services with specific GPU requirements using docker-compose:
 
@@ -68,6 +70,7 @@ services:
 ```
 
 Deploy the service:
+
 ```bash
 docker stack deploy -c docker-compose.yml rocm-stack
 ```