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Functions3,355 in github.com/AFAC2024/AFAC2025

↓ 4 callersFunctioninit_adapter
r"""Initialize the adapters. Support full-parameter, freeze and LoRA training. Note that the trainable parameters must be cast to float32.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/model/adapter.py:261
↓ 4 callersFunctioninit_model_parallel_config
(config: DictConfig)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/megatron_utils.py:206
↓ 4 callersMethodinit_workers
Init resource pool and worker group
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/ppo/ray_trainer.py:592
↓ 4 callersMethodinitialize
Initialize a single MCP connection.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/agent/mcp.py:165
↓ 4 callersFunctionis_digit
(s)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/reward_score/prime_math/grader.py:107
↓ 4 callersFunctionis_digit
(s)
方案分享/赛题三/双人成行/code/RL/code_eval/MBPP_Humaneval/eval/utils/grader.py:97
↓ 4 callersMethodlist_reports
列出报告
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/utils/report_manager.py:140
↓ 4 callersMethodlist_tools
List all available tools.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/mcp_client.py:129
↓ 4 callersMethodload_data
加载输出和参考数据。 返回: 输出DataFrame和参考DataFrame的元组
方案分享/赛题三/双人成行/code/Inference/evaluator.py:33
↓ 4 callersFunctionload_megatron_model_weights
(config, model_config, parallel_model,
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/model.py:280
↓ 4 callersMethodload_server_config
从配置文件加载服务器配置
方案分享/赛题一/CEDC冲冲冲/AFAC2025_track1/mcp_fetch_client.py:58
↓ 4 callersMethodmake_iterator
r"""Make an iterator from the DataProto. This is built upon that TensorDict can be used as a normal Pytorch dataset. See https://pytorch.org/t
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:451
↓ 4 callersFunctionpad_dataproto_to_divisor
Pad a DataProto to size divisible by size_divisor Args: size_divisor (int): size divisor Returns: data: (DataProto): the pad
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:41
↓ 4 callersFunctionparse_pdf
(pdf_path)
方案分享/赛题四/队伍名字不能为空/docker_image/app/mcps/common/pdf_reader.py:10
↓ 4 callersFunctionparse_template
r"""Extract a chat template from the tokenizer.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/template.py:530
↓ 4 callersMethodrank
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/worker.py:206
↓ 4 callersMethodrename
Note that this function only rename the key in the batch
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:406
↓ 4 callersMethodreorder
Note that this operation is in-place
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:547
↓ 4 callersFunctionrotate_half
Rotates half the hidden dims of the input.
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/layers/parallel_attention.py:116
↓ 4 callersFunctionrotate_half
Rotates half the hidden dims of the input.
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/layers/parallel_attention.py:148
↓ 4 callersMethodsave_checkpoint
(self, step)
方案分享/赛题三/双人成行/code/RL/verl/verl/trainer/fsdp_sft_trainer.py:425
↓ 4 callersMethodsave_mcp_data
保存从MCP获取的数据为CSV文件 参数: text (str): JSON格式的原始数据 file_name (str): 保存的文件名(不含扩展名) path_name (str, opti
方案分享/赛题一/allin/代码文件/Data_Acquire/mcp_data.py:146
↓ 4 callersFunctionset_ulysses_sequence_parallel_group
Set ulysses sequence parallel process group.
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/ulysses.py:29
↓ 4 callersMethodshared_embedding_or_output_weight
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/modeling_qwen2_megatron.py:604
↓ 4 callersMethodstep
Execute a single step in the agent's workflow. Must be implemented by subclasses to define specific behavior.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/agent/base.py:155
↓ 4 callersFunctionstrip_string
(string)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/data_processing/answer_extraction.py:65
↓ 4 callersFunctionsymbolic_equal
(a, b)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/eval/eval_utils.py:283
↓ 4 callersFunctionunpad_dataproto
(data: 'DataProto', pad_size)
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:67
↓ 3 callersMethod__call__
(self, features: list[dict[str, Any]])
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/collator.py:285
↓ 3 callersMethod__init__
(self)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/ray/base.py:462
↓ 3 callersMethod__init__
(self, dim, max_position_embeddings=2048, base=10000, device=None)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/layers/parallel_attention.py:37
↓ 3 callersMethod_attempt_api_call
尝试调用指定的 OpenAI API 客户端,并进行重试。
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/utils/fallback_openai_client.py:69
↓ 3 callersFunction_broadcast_tp_shard_tensor
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/checkpoint_utils/qwen2_loader.py:181
↓ 3 callersFunction_broadcast_tp_shard_tensor
broadcast tensor in tp shards across mp_group
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_loader.py:185
↓ 3 callersMethod_build_param_references
(self, pp_rank, maintain_weight=False)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/sharding_manager/megatron_vllm.py:103
↓ 3 callersFunction_check_extra_dependencies
( model_args: "ModelArguments", finetuning_args: "FinetuningArguments", training_args: Optional["T
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/hparams/parser.py:134
↓ 3 callersMethod_close_thread_pool
(self)
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/callbacks.py:222
↓ 3 callersFunction_concat_data_proto_or_future
(output: List)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/base/decorator.py:129
↓ 3 callersFunction_configure_library_root_logger
r"""Configure root logger using a stdout stream handler with an explicit format.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/extras/logging.py:100
↓ 3 callersFunction_create_stream_chat_completion_chunk
( completion_id: str, model: str, delta: "ChatCompletionMessage", index: Optional[int] = 0,
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/api/chat.py:172
↓ 3 callersMethod_encode
r"""Encode formatted inputs to pairs of token ids. Turn 0: prefix + system + query resp Turn t: query
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/template.py:129
↓ 3 callersMethod_evaluate_control_level
评估控盘程度
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:695
↓ 3 callersMethod_evaluate_selling_pressure
评估抛售压力
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:717
↓ 3 callersMethod_evaluate_trapped_depth
评估套牢深度
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:706
↓ 3 callersMethod_fix_encoding
Fix potential encoding issues in HTML content
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/create_html.py:328
↓ 3 callersMethod_generate_main_cost_analysis_text
生成主力成本分析文本
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:812
↓ 3 callersMethod_generate_trapped_analysis_text
生成套牢分析文本
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/chip_analysis.py:816
↓ 3 callersFunction_get_gpt_model
(model)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/qwen2/megatron/checkpoint_utils/qwen2_saver.py:85
↓ 3 callersFunction_get_gpt_model
(model)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/checkpoint_utils/llama_saver.py:85
↓ 3 callersFunction_get_init_kwargs
r"""Get arguments to load config/tokenizer/model. Note: including inplace operation of model_args.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/model/loader.py:56
↓ 3 callersFunction_get_library_root_logger
()
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/extras/logging.py:96
↓ 3 callersFunction_get_preprocessed_dataset
r"""Preprocesses the dataset, including format checking and tokenization.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/loader.py:230
↓ 3 callersMethod_get_type_info
Get type information for a single type.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/create_chat_completion.py:110
↓ 3 callersMethod_handle_generate_code
处理代码生成和执行动作
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/data_analysis_agent.py:139
↓ 3 callersMethod_initialize
r"""Validate the configuration.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/runner.py:74
↓ 3 callersFunction_is_close
(batch_a: dict[str, Any], batch_b: dict[str, Any])
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/tests/data/test_mm_plugin.py:110
↓ 3 callersFunction_parse
(s)
方案分享/赛题三/ljq13317046284/代码/TokenSkip-main/TokenSkip-main/eval/eval_utils.py:165
↓ 3 callersFunction_pre_process_inputs
(pad_token_id, prompt_token_ids: torch.Tensor)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/rollout/vllm_rollout/vllm_rollout.py:49
↓ 3 callersMethod_refresh_tools
Refresh the list of available tools from the MCP server.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/agent/mcp.py:201
↓ 3 callersMethod_save_report
通用的报告保存方法
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/utils/report_manager.py:74
↓ 3 callersMethod_set_cos_sin_cache
(self, seq_len, device, dtype)
方案分享/赛题三/双人成行/code/RL/verl/verl/models/llama/megatron/layers/parallel_attention.py:51
↓ 3 callersFunction_set_env_vars
()
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/hparams/parser.py:97
↓ 3 callersFunction_set_transformers_logging
()
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/hparams/parser.py:90
↓ 3 callersFunction_str_is_int
(x: str)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/reward_score/prime_math/__init__.py:111
↓ 3 callersFunction_str_is_int
(x: str)
方案分享/赛题三/双人成行/code/RL/deepscaler/rewards/math_utils/utils.py:222
↓ 3 callersMethod_update_component
r"""Update gradio components according to the (elem_id, properties) mapping.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/webui/engine.py:40
↓ 3 callersFunction_verify_model_args
( model_args: "ModelArguments", data_args: "DataArguments", finetuning_args: "FinetuningArguments"
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/hparams/parser.py:105
↓ 3 callersMethodadd_agent
Alias for register_agent
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/environment/base.py:39
↓ 3 callersMethodall_gather
(self)
方案分享/赛题三/双人成行/code/RL/verl/tests/ray/test_worker_group_torch.py:40
↓ 3 callersFunctionall_gather_data_proto
(data: DataProto, process_group)
方案分享/赛题三/双人成行/code/RL/verl/verl/protocol.py:654
↓ 3 callersFunctionbuild_memory_buffer
Build the memory buffer given weight_buffer_meta Args: weight_buffer_meta: contains mapping from name to a dictionary containing shape an
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/memory_buffer.py:71
↓ 3 callersFunctioncalc_padded_numel
for cuda memory alignment, make sure alignment by 128-bits
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/memory_buffer.py:54
↓ 3 callersMethodcalculate_cot_length
计算每个问题的最短COT长度。 返回: 问题ID到最短COT长度的字典
方案分享/赛题三/双人成行/code/Inference/evaluator.py:191
↓ 3 callersMethodcall
同步调用LLM
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/data_analysis/utils/llm_helper.py:49
↓ 3 callersFunctioncall_key_func
基于数据目录的key与handler配置,获取明细数据
方案分享/赛题四/队伍名字不能为空/docker_image/app/mcps/tools/store.py:373
↓ 3 callersFunctionchange_name
(name: str, old_index: int, new_index: int)
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/scripts/llama_pro.py:36
↓ 3 callersMethodchat
与AI模型进行对话,支持工具调用 参数: messages (List[Dict]): 对话消息列表 返回: tuple: (响应消息, 消息类型) - 消息类型为"message"或"tool_cal
方案分享/赛题一/allin/代码文件/Data_Acquire/mcp_data.py:66
↓ 3 callersFunctioncheck_lora_model
(model: "LoraModel")
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/test_utils.py:46
↓ 3 callersMethodcheck_token_limit
Check if token limits are exceeded
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/llm.py:240
↓ 3 callersFunctioncompute_detach_dpo_loss_rm
(token_level_scores, acc, Q_bc, acc_bc, eos_mask, beta, bon_mode='none')
方案分享/赛题三/双人成行/code/RL/verl/recipe/prime/prime_core_algos.py:84
↓ 3 callersMethodcompute_log_prob
Compute logits given a batch of data. Args: data (DataProto): a batch of data represented by DataProto. It must contain key ```in
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/actor/base.py:39
↓ 3 callersMethodcompute_ref_log_prob
(self, data: DataProto)
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/fsdp_workers.py:557
↓ 3 callersMethodcompute_rm_score
(self, data: DataProto)
方案分享/赛题三/双人成行/code/RL/verl/recipe/prime/prime_dp_rm.py:200
↓ 3 callersFunctioncompute_transformers_input_shapes
(batches, meta_info)
方案分享/赛题三/双人成行/code/RL/verl/verl/utils/megatron/pipeline_parallel.py:22
↓ 3 callersMethodconvert_ids_to_tokens
Converts a single index or a sequence of indices in a token or a sequence of tokens, using the vocabulary and added tokens.
方案分享/赛题三/双人成行/code/RL/verl/verl/workers/rollout/tokenizer.py:116
↓ 3 callersMethodcopyfrom
(cls, source: "Self", **kwargs)
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/hparams/model_args.py:417
↓ 3 callersMethodcount_message_tokens
(self, messages: List[dict])
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/llm.py:229
↓ 3 callersFunctioncreate_ref_model
r"""Create reference model for PPO/DPO training. Evaluation mode is not supported. The valuehead parameter is randomly initialized since it is us
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/train/trainer_utils.py:111
↓ 3 callersMethoddisconnect
Disconnect from a specific MCP server or all servers if no server_id provided.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/mcp_client.py:137
↓ 3 callersFunctiondraw_metrics
(chart_type, chart_data, chart_name)
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/agent_api/metrics_draw.py:267
↓ 3 callersMethodencode_multiturn
r"""Return multiple pairs of token ids representing prompts and responses respectively.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/data/template.py:74
↓ 3 callersMethodexecute
Execute a Web search and return detailed search results. Args: query: The search query to submit to the search engine
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/tools/web_search.py:196
↓ 3 callersMethodexecute
Execute the tool with given parameters.
方案分享/赛题四/天池三轮车/docker_image/docker_image/app/src/tool/base.py:24
↓ 3 callersMethodexecute_all_async
(self, method_name: str, *args, **kwargs)
方案分享/赛题三/双人成行/code/RL/verl/verl/single_controller/ray/base.py:355
↓ 3 callersFunctionextract_boxed_answer
从文本中提取\boxed{}中的答案
方案分享/赛题三/ljq13317046284/代码/ds2cot.py:72
↓ 3 callersFunctionextract_code
(model_output: str, lmstyle: LMStyle)
方案分享/赛题三/双人成行/code/RL/code_eval/LiveCodeBench/lcb_runner/utils/extraction_utils.py:4
↓ 3 callersFunctionextract_instance_results
(results)
方案分享/赛题三/双人成行/code/RL/code_eval/LiveCodeBench/lcb_runner/evaluation/pass_k_utils.py:56
↓ 3 callersFunctionfind_all_linear_modules
r"""Find all available modules to apply LoRA, GaLore or APOLLO.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/model/model_utils/misc.py:28
↓ 3 callersMethodfit
(self, data)
方案分享/赛题一/allin/代码文件/Time_Series/codes/utils.py:15
↓ 3 callersFunctionfix_proxy
r"""Fix proxy settings for gradio ui.
方案分享/赛题三/ljq13317046284/代码/LLaMA-Factory-main/src/llamafactory/extras/misc.py:325
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