mcore_gpt_minitron

Module implementing top-level mcore_gpt_minitron pruning handler for NVIDIA Megatron-Core / NeMo models.

Minitron pruning algorithm uses activation magnitudes to estimate importance of neurons / attention heads in the model. More details on Minitron pruning algorithm can be found here: https://arxiv.org/pdf/2407.14679

Actual implementation is at modelopt.torch.nas.plugins.megatron.

Classes

MCoreGPTMinitronSearcher

Searcher for Minitron pruning algorithm.

Functions

get_supported_model_config_map

Get supported models (inside function to avoid circular imports).

class MCoreGPTMinitronSearcher

Bases: BaseSearcher

Searcher for Minitron pruning algorithm.

before_search()

Optional pre-processing steps before the search.

Return type:: None

property default_search_config: dict[str, Any]: Get the default config for the searcher.

property default_state_dict: dict[str, Any]: Return default state dict.

run_search()

Run actual search.

Return type:: None

sanitize_search_config(config)

Sanitize the search config dict.

Parameters:: config (dict[str, Any] | None) –
Return type:: dict[str, Any]

get_supported_model_config_map()

Get supported models (inside function to avoid circular imports).

Return type:: dict[type, str]