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Functions226 in github.com/GCYZSL/MoLA

⨍ Functions 226◇ Types & classes 26 ↳ Endpoints 1

Methodpatched_optimizer_step

(optimizer, barrier=False, optimizer_args={})

src/mola_trainer_hacked.py:1515

Methodpop_callback

Remove a callback from the current list of [`~transformer.TrainerCallback`] and returns it. If the callback is not found, returns `N

src/mola_trainer_hacked.py:685

Run prediction and returns predictions and potential metrics. Depending on the dataset and your use case, your test dataset may cont

src/mola_trainer_hacked.py:2980

Methodprediction_loop

Prediction/evaluation loop, shared by `Trainer.evaluate()` and `Trainer.predict()`. Works both with or without labels.

src/mola_trainer_hacked.py:3633

Methodprepare_inputs_for_generation

(self, *args, **kwargs)

src/mola_peft_model_hacked.py:1044

Methodprepare_inputs_for_generation

(self, *args, **kwargs)

src/mola_peft_model_hacked.py:1299

Methodprepare_inputs_for_generation

( self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs )

src/mola_modeling_llama_hacked.py:1114

Methodprepare_inputs_for_generation

( self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs )

src/mola_modeling_llama_hacked.py:1343

Methodremove_callback

Remove a callback from the current list of [`~transformer.TrainerCallback`]. Args: callback (`type` or [`~transformer.Tra

src/mola_trainer_hacked.py:701

Methodset_adapter

Sets the active adapter.

src/mola_peft_model_hacked.py:667

Methodset_adapter

(self, adapter_name)

src/mola_lora_hacked.py:380

Methodset_decoder

(self, decoder)

src/mola_modeling_llama_hacked.py:979

Methodset_decoder

(self, decoder)

src/mola_modeling_llama_hacked.py:1176

Methodset_input_embeddings

src/mola_modeling_llama_hacked.py:687

Methodset_input_embeddings

src/mola_modeling_llama_hacked.py:970

Methodset_input_embeddings

src/mola_modeling_llama_hacked.py:1167

Methodset_input_embeddings

src/mola_modeling_llama_hacked.py:1402

Methodset_output_embeddings

(self, new_embeddings)

src/mola_modeling_llama_hacked.py:976

Methodset_output_embeddings

(self, new_embeddings)

src/mola_modeling_llama_hacked.py:1173

( # model/data params base_model: str = "NousResearch/Llama-2-7b-hf", # the only required arg

mola_training.py:30

( # model/data params base_model: str = "NousResearch/Llama-2-7b-hf", data_path: str = "./meta_moe

mola_training_instruction.py:28

Methodunmerge_adapter

src/mola_lora_hacked.py:393

Methodupdate_layer

(self, adapter_name, r, lora_alpha, lora_dropout, init_lora_weights, layer_index)

src/mola_lora_hacked.py:661

Methodupdate_layer_conv2d

(self, adapter_name, r, lora_alpha, lora_dropout, init_lora_weights)

src/mola_lora_hacked.py:693

Methodupdate_layer_embedding

(self, adapter_name, r, lora_alpha, lora_dropout, init_lora_weights)

src/mola_lora_hacked.py:609

Methodupdate_layer_embedding

(self, adapter_name, r, lora_alpha, lora_dropout, init_lora_weights)

src/mola_lora_hacked.py:718

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