added missing inputs and outputs to run_test hook

run_test.py

@@ -65,32 +65,39 @@ SafeTensors = WritingSafeTensors(
     )
 
 IDX = 0 # IDX is unused
-module_names = {mod:name for name, mod in pipe.model.named_modules()}
+module_prefixes = {mod : name + '.' if name else '' for name, mod in pipe.model.named_modules()}
 tensors = {}
-def hook(module, inputs, outputs):
+def hook(module, inputs, kwinputs, outputs):
     global IDX
-    name = module_names[module]
+    prefix = module_prefixes[module]
     HAS_HF_HOOK = hasattr(module, '_hf_hook')
     if HAS_HF_HOOK:
-        inputs = module._hf_hook.pre_forward(module, *inputs)
+        inputs, kwinputs = module._hf_hook.pre_forward(module, *inputs, **kwinputs)
     for idx, input in enumerate(inputs):
         if isinstance(input, torch.Tensor):
-            SafeTensors.add(f'{name}.input.{idx}', input);
+            SafeTensors.add(f'{prefix}input.{idx}', input);
+    for key, input in kwinputs.items():
+        if isinstance(input, torch.Tensor):
+            SafeTensors.add(f'{prefix}input.{key}', input);
     if STORE_WEIGHTS and not list(module.children()):
         for wtname, wt in list(module.named_parameters()) + list(module.named_buffers()):
-            SafeTensors.add(f'{name}.{wtname}', wt)
+            SafeTensors.add(f'{prefix}{wtname}', wt)
     if HAS_HF_HOOK:
         outputs = module._hf_hook.post_forward(module, outputs)
     if isinstance(outputs, torch.Tensor):
-        SafeTensors.add(f'{name}.output', outputs);
+        SafeTensors.add(f'{prefix}output', outputs);
+    elif isinstance(outputs, dict):
+        for key, output in outputs.items():
+            if isinstance(output, torch.Tensor):
+                SafeTensors.add(f'{prefix}output.{key}', output);
     else:
         for idx, output in enumerate(outputs):
             if isinstance(output, torch.Tensor):
-                SafeTensors.add(f'{name}.output.{idx}', output);
+                SafeTensors.add(f'{prefix}output.{idx}', output);
     IDX += 1
 
 for module in pipe.model.modules():
-    module.register_forward_hook(hook)
+    module.register_forward_hook(hook, with_kwargs=True)
 
 with SafeTensors:
     output = pipe(prompt, do_sample=False, max_new_tokens=1, temperature=1.0, top_p=1.0)