Show GPU names in GUI, Only show GPUs that exist

changed the pre-set 1,2,3 and 1,2,3,all settings that the GPU selector had and replaced them with a function that grabs the GPU names and sets the names as the values for the selector boxes.

Author: YellowRoseCx

koboldcpp.py

@@ -728,12 +728,37 @@ def getfilename(var, text):
         button = ctk.CTkButton(parent, 50, text="Browse", command= lambda a=var,b=searchtext:getfilename(a,b))
         button.grid(row=row+1, column=1, stick="nw")
         return
+    
+    from subprocess import run
+    def get_device_names():
+        CUdevices = []
+        CLdevices = []
+        try: # Get OpenCL GPU names
+            output = run(['clinfo'], capture_output=True, text=True, check=True, encoding='utf-8').stdout
+            CLdevices = [line.split(":", 1)[1].strip() for line in output.splitlines() if line.strip().startswith("Board name:")]
+        except FileNotFoundError: pass
+        try: # Get AMD ROCm GPU names
+            output = run(['rocminfo'], capture_output=True, text=True, check=True, encoding='utf-8').stdout
+            device_name = None
+            for line in output.splitlines():
+                line = line.strip()
+                if line.startswith("Marketing Name:"): device_name = line.split(":", 1)[1].strip()
+                elif line.startswith("Device Type:") and "GPU" in line and device_name is not None: CUdevices.append(device_name)
+                elif line.startswith("Device Type:") and "GPU" not in line: device_name = None
+        except FileNotFoundError: pass
+        # try: # Get NVIDIA GPU names , Couldn't test so probably not working yet.
+        #     output = run(['nvidia-smi', '-L'], capture_output=True, text=True, check=True, encoding='utf-8').stdout
+        #     CUdevices = [line.split(":", 1)[1].strip() for line in output.splitlines() if line.startswith("GPU:")]
+        # except FileNotFoundError: pass
+        if CUdevices: CUdevices.append('All')
+        return CUdevices, CLdevices
 
     # Vars - should be in scope to be used by multiple widgets
+    CUdevices, CLdevices = get_device_names()
     gpulayers_var = ctk.StringVar(value="0")
     threads_var = ctk.StringVar(value=str(default_threads))
     runopts_var = ctk.StringVar()
-    gpu_choice_var = ctk.StringVar(value="1")
+    gpu_choice_var = ctk.StringVar(value=CLdevices[0] if not None else CUdevices[0] if not None else "1")
 
     launchbrowser = ctk.IntVar(value=1)
     highpriority = ctk.IntVar()
@@ -773,11 +798,12 @@ def getfilename(var, text):
     quick_tab = tabcontent["Quick Launch"]
 
     # gpu options
-    quick_gpu_layers_entry,quick_gpu_layers_label = makelabelentry(quick_tab,"GPU Layers:", gpulayers_var, 4, 50)
+
+    quick_gpu_layers_entry, quick_gpu_layers_label = makelabelentry(quick_tab, "GPU Layers:", gpulayers_var, 4, 50)
     quick_gpu_selector_label = makelabel(quick_tab, "GPU ID:", 3)
-    quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=["1","2","3"], width=60, variable=gpu_choice_var, state="readonly")
-    CUDA_quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=["1","2","3","All"], width=60, variable=gpu_choice_var, state="readonly")
-    quick_lowvram_box = makecheckbox(quick_tab,  "Low VRAM", lowvram_var, 5)
+    quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=CLdevices, width=180, variable=gpu_choice_var, state="readonly")
+    CUDA_quick_gpu_selector_box = ctk.CTkComboBox(quick_tab, values=CUdevices, width=180, variable=gpu_choice_var, state="readonly")
+    quick_lowvram_box = makecheckbox(quick_tab, "Low VRAM", lowvram_var, 5)
 
     def changerunmode(a,b,c):
         index = runopts_var.get()
@@ -846,8 +872,8 @@ def changerunmode(a,b,c):
     # gpu options
     gpu_layers_entry,gpu_layers_label = makelabelentry(hardware_tab,"GPU Layers:", gpulayers_var, 4, 50)
     gpu_selector_label = makelabel(hardware_tab, "GPU ID:", 3)
-    gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=["1","2","3"], width=60, variable=gpu_choice_var, state="readonly")
-    CUDA_gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=["1","2","3", "All"], width=60, variable=gpu_choice_var, state="readonly")
+    gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=CLdevices, width=180, variable=gpu_choice_var, state="readonly")
+    CUDA_gpu_selector_box = ctk.CTkComboBox(hardware_tab, values=CUdevices, width=180, variable=gpu_choice_var, state="readonly")
     lowvram_box = makecheckbox(hardware_tab,  "Low VRAM", lowvram_var, 5)
 
     # presets selector
@@ -960,11 +986,14 @@ def export_vars():
         args.stream = stream.get()==1
         args.smartcontext = smartcontext.get()==1
         args.unbantokens = unbantokens.get()==1
-        gpu_choice_str = gpu_choice_var.get()
         gpuchoiceidx = 0
-        
         if gpu_choice_var.get()!="All":
-            gpuchoiceidx = int(gpu_choice_var.get())-1
+            if runopts_var.get() == runopts[1]: #if CLBlast selected
+                if (gpu_choice_var.get()) in CLdevices:
+                    gpuchoiceidx = CLdevices.index((gpu_choice_var.get())) 
+            elif runopts_var.get() == runopts[2]:
+                if (gpu_choice_var.get()) in CUdevices:
+                    gpuchoiceidx = CUdevices.index((gpu_choice_var.get()))
         if runopts_var.get() == runopts[1]:
             args.useclblast = [[0,0], [1,0], [0,1]][gpuchoiceidx]
         if runopts_var.get() == runopts[2]: