↓ 1 callersMethodget_model_output(self, model, video_processor, tokenizer, video, qs)
VLMEvalKit/vlmeval/vlm/video_llm/chat_uni_vi.py:110
↓ 1 callersMethodget_model_output(self, model, video_processor, tokenizer, video, qs)
VLMEvalKit/vlmeval/vlm/video_llm/llama_vid.py:66
↓ 1 callersMethodget_model_output(self, model, video_processor, tokenizer, video, qs)
VLMEvalKit/vlmeval/vlm/video_llm/video_llava.py:109
↓ 1 callersMethodget_model_output(self, model, video_processor, tokenizer, video, qs)
VLMEvalKit/vlmeval/vlm/video_llm/video_chatgpt.py:45
↓ 1 callersMethodinfer(self, xs_pad, buffer, buffer_index, buffer_out, pe_index)
vita/model/vita_tts/encoder/encoder.py:149
↓ 1 callersMethodinfer(self, hidden, top_k, prefix, penalty_window_size, penalty, max_tokens=1000)
vita/model/vita_tts/decoder/decoder.py:314
↓ 1 callersFunctioninfer_data(model_name, work_dir, dataset, out_file, nframe=8, pack=False, verbose=False, api_nproc=4)
VLMEvalKit/vlmeval/inference_video.py:49
↓ 1 callersFunctioninfer_data(model_name, work_dir, dataset, out_file, verbose=False, api_nproc=4)
VLMEvalKit/vlmeval/inference_mt.py:77
↓ 1 callersFunctioninfer_data(model_name, work_dir, dataset, out_file, verbose=False, api_nproc=4)
VLMEvalKit/vlmeval/inference.py:69
↓ 1 callersFunctioninfer_data_api(work_dir, model_name, dataset, nframe=8, pack=False, samples_dict={}, api_nproc=4)
VLMEvalKit/vlmeval/inference_video.py:21
↓ 1 callersFunctioninfer_data_api(work_dir, model_name, dataset, index_set=None, api_nproc=4, ignore_failed=False)
VLMEvalKit/vlmeval/inference_mt.py:40
↓ 1 callersFunctioninfer_data_api(work_dir, model_name, dataset, index_set=None, api_nproc=4, ignore_failed=False)
VLMEvalKit/vlmeval/inference.py:21
↓ 1 callersFunctioninfer_data_job(model, work_dir, model_name, dataset, verbose=False, api_nproc=4, ignore_failed=False)
VLMEvalKit/vlmeval/inference.py:143
↓ 1 callersFunctioninfer_data_job_mt(model, work_dir, model_name, dataset, verbose=False, api_nproc=4, ignore_failed=False)
VLMEvalKit/vlmeval/inference_mt.py:151
↓ 1 callersFunctioninfer_data_job_video(
model,
work_dir,
model_name,
dataset,
nframe=8,
pack=False,
VLMEvalKit/vlmeval/inference_video.py:105
↓ 1 callersFunctioninput_processor_for_qwen2_multimodal_base(
model_config: ModelConfig,
hf_config,
llm_inputs: LLMInputs,
*,
image_token_id: int,
web_demo/vllm_tools/vllm_file/qwen2.py:193