Fix issue #8 and #4

README.md

@@ -156,6 +156,7 @@ inputs_embeds = vl_gpt.prepare_inputs_embeds(**prepare_inputs)
 
 # run the model to get the response
 outputs = vl_gpt.language.generate(
+    input_ids = prepare_inputs["input_ids"].to(vl_gpt.device),
     inputs_embeds=inputs_embeds,
     attention_mask=prepare_inputs.attention_mask,
     pad_token_id=tokenizer.eos_token_id,

deepseek_vl/models/modeling_deepseek.py

@@ -1753,13 +1753,16 @@ class DeepseekV2ForCausalLM(DeepseekV2PreTrainedModel):
             output = (logits,) + outputs[1:]
             return (loss,) + output if loss is not None else output
 
-        return CausalLMOutputWithPast(
+        device = input_ids.device if input_ids is not None else inputs_embeds.device
+        output =  CausalLMOutputWithPast(
             loss=loss,
             logits=logits,
             past_key_values=outputs.past_key_values,
             hidden_states=outputs.hidden_states,
             attentions=outputs.attentions,
         )
+        output['logits'] = output['logits'].to(device)
+        return output
 
     def prepare_inputs_for_generation(
         self,