Add the option to use samplers in the logit viewer

css/main.css

@@ -237,6 +237,11 @@ audio {
   border-radius: 0.4em;
 }
 
+.no-background {
+  background: var(--background-fill-primary) !important;
+  padding: 0px !important;
+}
+
 /*****************************************************/
 /*************** Chat UI declarations ****************/
 /*****************************************************/

js/main.js

@@ -82,3 +82,12 @@ observer.observe(targetElement, config);
 //------------------------------------------------
 document.getElementById('chat-input').parentNode.style.background = 'transparent';
 document.getElementById('chat-input').parentNode.style.border = 'none';
+
+//------------------------------------------------
+// Remove some backgrounds
+//------------------------------------------------
+const noBackgroundelements = document.querySelectorAll('.no-background');
+for(i = 0; i < noBackgroundelements.length; i++) {
+    noBackgroundelements[i].parentNode.style.border = 'none';
+    noBackgroundelements[i].parentNode.parentNode.parentNode.style.alignItems = 'center';
+}

modules/callbacks.py

@@ -24,6 +24,7 @@ class Stream(transformers.StoppingCriteria):
     def __call__(self, input_ids, scores) -> bool:
         if self.callback_func is not None:
             self.callback_func(input_ids[0])
+
         return False
 
 

modules/logits.py

@@ -1,19 +1,30 @@
 import torch
 
-from modules import shared
+from modules import sampler_hijack, shared
+from modules.text_generation import generate_reply
+
+global_scores = None
 
 
-def get_next_logits(prompt):
+def get_next_logits(prompt, state, use_samplers, previous):
-    tokens = shared.tokenizer.encode(prompt, return_tensors='pt').cuda()
+    if use_samplers:
-    output = shared.model(input_ids=tokens)
+        state['max_new_tokens'] = 1
+        state['auto_max_new_tokens'] = False
+        for _ in generate_reply(prompt, state):
+            pass
+
+        scores = sampler_hijack.global_scores[-1]
+    else:
+        tokens = shared.tokenizer.encode(prompt, return_tensors='pt').cuda()
+        output = shared.model(input_ids=tokens)
+        scores = output['logits'][-1][-1]
 
-    scores = output['logits'][-1][-1]
     probs = torch.softmax(scores, dim=-1, dtype=torch.float)
-
     topk_values, topk_indices = torch.topk(probs, k=20, largest=True, sorted=True)
-    topk_values = [f"{float(i):.5f}" % i for i in topk_values]
+    topk_values = [f"{float(i):.5f}" for i in topk_values]
+
     output = ''
     for row in list(zip(topk_values, shared.tokenizer.convert_ids_to_tokens(topk_indices))):
-        output += f"{row[0]} {row[1]}\n"
+        output += f"{row[0]}  -  {row[1]}\n"
 
-    return output
+    return output, previous

modules/sampler_hijack.py

@@ -10,6 +10,8 @@ from transformers.generation.logits_process import (
     TemperatureLogitsWarper
 )
 
+global_scores = None
+
 
 class TailFreeLogitsWarper(LogitsWarper):
     def __init__(self, tfs: float, filter_value: float = -float("Inf"), min_tokens_to_keep: int = 1):
@@ -122,6 +124,16 @@ class MirostatLogitsWarper(LogitsWarper):
         return scores
 
 
+class SpyLogitsWarper(LogitsWarper):
+    def __init__(self):
+        pass
+
+    def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor) -> torch.FloatTensor:
+        global global_scores
+        global_scores = scores
+        return scores
+
+
 class RepetitionPenaltyLogitsProcessorWithRange(LogitsProcessor):
     '''
     Copied from the transformers library
@@ -168,6 +180,7 @@ def get_logits_warper_patch(self, generation_config):
     else:
         warpers += warpers_to_add
 
+    warpers.append(SpyLogitsWarper())
     return warpers
 
 

modules/training.py

@@ -64,7 +64,7 @@ def create_ui():
                         with gr.Column(scale=5):
                             lora_name = gr.Textbox(label='Name', info='The name of your new LoRA file')
                         with gr.Column():
-                            always_override = gr.Checkbox(label='Override Existing Files', value=False, info='If the name is the same, checking will replace the existing file, and unchecking will load and continue from it (the rank must be the same).')
+                            always_override = gr.Checkbox(label='Override Existing Files', value=False, info='If the name is the same, checking will replace the existing file, and unchecking will load and continue from it (the rank must be the same).', elem_classes=['no-background'])
 
                     with gr.Row():
                         with gr.Column():

modules/ui_default.py

@@ -44,8 +44,15 @@ def create_ui():
                     shared.gradio['html-default'] = gr.HTML()
 
                 with gr.Tab('Logits'):
-                    shared.gradio['get_logits-default'] = gr.Button('Get next token probabilities')
+                    with gr.Row():
-                    shared.gradio['logits-default'] = gr.Textbox(lines=23, label='Output', elem_classes=['textbox_logits', 'add_scrollbar'])
+                        with gr.Column(scale=10):
+                            shared.gradio['get_logits-default'] = gr.Button('Get next token probabilities')
+                        with gr.Column(scale=1):
+                            shared.gradio['use_samplers-default'] = gr.Checkbox(label='Use samplers', value=True, elem_classes=['no-background'])
+
+                    with gr.Row():
+                        shared.gradio['logits-default'] = gr.Textbox(lines=23, label='Output', elem_classes=['textbox_logits', 'add_scrollbar'])
+                        shared.gradio['logits-default-previous'] = gr.Textbox(lines=23, label='Previous output', elem_classes=['textbox_logits', 'add_scrollbar'])
 
 
 def create_event_handlers():
@@ -83,5 +90,7 @@ def create_event_handlers():
         lambda x: x + '.txt', gradio('prompt_menu-default'), gradio('delete_filename')).then(
         lambda: gr.update(visible=True), None, gradio('file_deleter'))
 
-    shared.gradio['textbox-default'].change(lambda x : f"<span>{count_tokens(x)}</span>", gradio('textbox-default'), gradio('token-counter-default'), show_progress=False)
+    shared.gradio['textbox-default'].change(lambda x: f"<span>{count_tokens(x)}</span>", gradio('textbox-default'), gradio('token-counter-default'), show_progress=False)
-    shared.gradio['get_logits-default'].click(logits.get_next_logits, gradio('textbox-default'), gradio('logits-default'), show_progress=False)
+    shared.gradio['get_logits-default'].click(
+        ui.gather_interface_values, gradio(shared.input_elements), gradio('interface_state')).then(
+        logits.get_next_logits, gradio('textbox-default', 'interface_state', 'use_samplers-default', 'logits-default'), gradio('logits-default', 'logits-default-previous'), show_progress=False)

modules/ui_notebook.py

@@ -30,8 +30,15 @@ def create_ui():
                     shared.gradio['html-notebook'] = gr.HTML()
 
                 with gr.Tab('Logits'):
-                    shared.gradio['get_logits-notebook'] = gr.Button('Get next token probabilities')
+                    with gr.Row():
-                    shared.gradio['logits-notebook'] = gr.Textbox(lines=23, label='Output', elem_classes=['textbox_logits_notebook', 'add_scrollbar'])
+                        with gr.Column(scale=10):
+                            shared.gradio['get_logits-notebook'] = gr.Button('Get next token probabilities')
+                        with gr.Column(scale=1):
+                            shared.gradio['use_samplers-notebook'] = gr.Checkbox(label='Use samplers', value=True, elem_classes=['no-background'])
+
+                    with gr.Row():
+                        shared.gradio['logits-notebook'] = gr.Textbox(lines=23, label='Output', elem_classes=['textbox_logits', 'add_scrollbar'])
+                        shared.gradio['logits-notebook-previous'] = gr.Textbox(lines=23, label='Previous output', elem_classes=['textbox_logits', 'add_scrollbar'])
 
                 with gr.Row():
                     shared.gradio['Generate-notebook'] = gr.Button('Generate', variant='primary', elem_classes='small-button')
@@ -85,5 +92,7 @@ def create_event_handlers():
         lambda x: x + '.txt', gradio('prompt_menu-notebook'), gradio('delete_filename')).then(
         lambda: gr.update(visible=True), None, gradio('file_deleter'))
 
-    shared.gradio['textbox-notebook'].input(lambda x : f"<span>{count_tokens(x)}</span>", gradio('textbox-notebook'), gradio('token-counter-notebook'), show_progress=False)
+    shared.gradio['textbox-notebook'].input(lambda x: f"<span>{count_tokens(x)}</span>", gradio('textbox-notebook'), gradio('token-counter-notebook'), show_progress=False)
-    shared.gradio['get_logits-notebook'].click(logits.get_next_logits, gradio('textbox-notebook'), gradio('logits-notebook'))
+    shared.gradio['get_logits-notebook'].click(
+        ui.gather_interface_values, gradio(shared.input_elements), gradio('interface_state')).then(
+        logits.get_next_logits, gradio('textbox-notebook', 'interface_state', 'use_samplers-notebook', 'logits-notebook'), gradio('logits-notebook', 'logits-notebook-previous'), show_progress=False)