Fix linter errors regarding gpu_info updates

edgeless_node/src/gpu_info/jetson.rs

@@ -126,14 +126,14 @@ pub fn jetson_get_gpu_load() -> i32 {
 pub fn jetson_get_model_name_gpu() -> String {
     if let Ok(contents) = fs::read_to_string("/sys/firmware/devicetree/base/model") {
         // it also trims all non-printable characters like \0 or \n that may exist at the end
-        return contents.chars().filter(|c| c.is_ascii_graphic() || c.is_whitespace()).collect()
+        return contents.chars().filter(|c| c.is_ascii_graphic() || c.is_whitespace()).collect();
     }
 
-    "".to_string() 
+    "".to_string()
 }
 
 /// Jetson-specific implementation to retrieve the GPU mem size
-/// see: 
+/// see:
 /// - https://forums.developer.nvidia.com/t/unified-memory-on-jetson-platforms/187448
 /// - https://forums.developer.nvidia.com/t/gpu-memory-usage-got-by-using-cudamemgetinfo-is-different-with-tegrastats-command/243798
 ///
@@ -147,7 +147,7 @@ pub fn jetson_get_model_name_gpu() -> String {
 //              MemTotal not found in the /proc/meminfo file
 //
 //         * -20.0
-//             Could not parse as u32 the value read from /proc/meminfo 
+//             Could not parse as u32 the value read from /proc/meminfo
 //
 //         * -10.0
 //             Could not read the /proc/meminfo file (file does not exist or permission error)
@@ -192,11 +192,10 @@ pub fn jetson_get_num_gpus() -> i32 {
     1 // TODO: implement this
 }
 
-
 /// Determines if the system is a Jetson board by checking `/sys/firmware/devicetree/base/model`.
 ///
 /// # Returns
 /// * `bool` - True if running on a Jetson board, otherwise false.
 pub fn is_jetson_board() -> bool {
-    get_model_name_gpu().to_lowercase().contains("jetson")
+    jetson_get_model_name_gpu().to_lowercase().contains("jetson")
 }

edgeless_node/src/gpu_info/mod.rs

@@ -85,7 +85,6 @@ pub fn get_mem_size_gpu() -> i32 {
     }
 }
 
-
 /// Determines the board type.
 ///
 /// # Returns

edgeless_node/src/lib.rs

@@ -239,7 +239,9 @@ fn get_capabilities(runtimes: Vec<String>, user_node_capabilities: NodeCapabilit
             .unwrap_or((unique_total_space.values().sum::<u64>() / (1024 * 1024)) as u32),
         num_gpus: user_node_capabilities.num_gpus.unwrap_or(crate::gpu_info::get_num_gpus() as u32),
         model_name_gpu: user_node_capabilities.model_name_gpu.unwrap_or(crate::gpu_info::get_model_name_gpu()),
-        mem_size_gpu: user_node_capabilities.mem_size_gpu.unwrap_or((crate::gpu_info::get_mem_size_gpu() / (1024) ) as u32),
+        mem_size_gpu: user_node_capabilities
+            .mem_size_gpu
+            .unwrap_or((crate::gpu_info::get_mem_size_gpu() / (1024)) as u32),
     }
 }