peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/deepspeed
/runtime
/data_pipeline
/constants.py
| # Copyright (c) Microsoft Corporation. | |
| # SPDX-License-Identifier: Apache-2.0 | |
| # DeepSpeed Team | |
| """ | |
| Data efficiency library | |
| See sample config at https://www.deepspeed.ai/docs/config-json/data-efficiency | |
| """ | |
| DATA_EFFICIENCY = "data_efficiency" | |
| DATA_EFFICIENCY_ENABLED = "enabled" | |
| DATA_EFFICIENCY_ENABLED_DEFAULT = False | |
| DATA_EFFICIENCY_SEED = "seed" | |
| DATA_EFFICIENCY_SEED_DEFAULT = 1234 | |
| ######################################### | |
| # Data efficiency - Data Sampling | |
| ######################################### | |
| DATA_SAMPLING = "data_sampling" | |
| DATA_SAMPLING_ENABLED = "enabled" | |
| DATA_SAMPLING_ENABLED_DEFAULT = False | |
| DATA_SAMPLING_NUM_EPOCHS = "num_epochs" | |
| DATA_SAMPLING_NUM_EPOCHS_DEFAULT = 1000 | |
| DATA_SAMPLING_NUM_WORKERS = "num_workers" | |
| DATA_SAMPLING_NUM_WORKERS_DEFAULT = 0 | |
| ######################################### | |
| # Data efficiency - Data Sampling - Curriculum Learning | |
| ######################################### | |
| CURRICULUM_LEARNING = "curriculum_learning" | |
| CURRICULUM_LEARNING_ENABLED = "enabled" | |
| CURRICULUM_LEARNING_ENABLED_DEFAULT = False | |
| CURRICULUM_LEARNING_CLUSTER_PATH = "data_cluster_path" | |
| CURRICULUM_LEARNING_METRICS = "curriculum_metrics" | |
| CURRICULUM_LEARNING_SAMPLE_PATH = "index_to_sample_path" | |
| CURRICULUM_LEARNING_METRIC_PATH = "index_to_metric_path" | |
| CURRICULUM_LEARNING_CLUSTERING_TYPE = "clustering_type" | |
| CURRICULUM_LEARNING_SINGLE_CLUSTER = "single_cluster" | |
| CURRICULUM_LEARNING_CLUSTER_PREFIX = "cluster" | |
| CURRICULUM_LEARNING_DIFFICULTY_TYPE = "difficulty_type" | |
| CURRICULUM_LEARNING_VALUE_BASED = "value" | |
| CURRICULUM_LEARNING_PERCENTILE_BASED = "percentile" | |
| CURRICULUM_LEARNING_MIN_DIFFICULTY = "min_difficulty" | |
| CURRICULUM_LEARNING_MAX_DIFFICULTY = "max_difficulty" | |
| CURRICULUM_LEARNING_SCHEDULE_TYPE = "schedule_type" | |
| CURRICULUM_LEARNING_SCHEDULE_CONFIG = "schedule_config" | |
| CURRICULUM_LEARNING_SCHEDULE_DIFFICULTY = "difficulty" | |
| CURRICULUM_LEARNING_SCHEDULE_MAX_STEP = "max_step" | |
| CURRICULUM_LEARNING_SCHEDULE_TOTAL_STEP = "total_curriculum_step" | |
| CURRICULUM_LEARNING_SCHEDULE_DIFFICULTY_STEP = "difficulty_step" | |
| CURRICULUM_LEARNING_SCHEDULE_ROOT_DEGREE = "root_degree" | |
| CURRICULUM_LEARNING_SCHEDULE_FIXED_DISCRETE = "fixed_discrete" | |
| CURRICULUM_LEARNING_SCHEDULE_FIXED_ROOT = "fixed_root" | |
| CURRICULUM_LEARNING_SCHEDULE_FIXED_LINEAR = "fixed_linear" | |
| CURRICULUM_LEARNING_SCHEDULE_CUSTOM = "custom" | |
| CURRICULUM_LEARNING_CURRENT_DIFFICULTY = "current_difficulty" | |
| CURRICULUM_LEARNING_BATCH = "batch" | |
| CURRICULUM_LEARNING_CONSUMED_SAMPLES = "consumed_samples" | |
| CURRICULUM_LEARNING_STEP = "curriculum_step" | |
| CURRICULUM_LEARNING_CURRENT_DIFFICULTIES = "current_difficulties" | |
| CURRICULUM_LEARNING_DATA_CLUSTER_PATHS = "data_cluster_paths" | |
| CURRICULUM_LEARNING_DATA_CLUSTER_CURRENT_POSITION = "data_cluster_current_position" | |
| CURRICULUM_LEARNING_NP_RNG_STATE = "np_rng_state" | |
| ######################################### | |
| # Curriculum Learning legacy implementation | |
| ######################################### | |
| CURRICULUM_LEARNING_LEGACY = "curriculum_learning" | |
| CURRICULUM_ENABLED_LEGACY = "enabled" | |
| CURRICULUM_ENABLED_DEFAULT_LEGACY = False | |
| ######################################### | |
| # Data efficiency - Data Routing | |
| ######################################### | |
| DATA_ROUTING = "data_routing" | |
| DATA_ROUTING_ENABLED = "enabled" | |
| DATA_ROUTING_ENABLED_DEFAULT = False | |
| ######################################### | |
| # Data efficiency - Data Routing - Random LTD | |
| ######################################### | |
| RANDOM_LTD = "random_ltd" | |
| RANDOM_LTD_ENABLED = "enabled" | |
| RANDOM_LTD_ENABLED_DEFAULT = False | |
| RANDOM_LTD_MODEL_MASK_NAME = "model_mask_name" | |
| RANDOM_LTD_MODEL_TYPE = "model_type" | |
| RANDOM_LTD_MICRO_BATCH_SIZE = "micro_batch_size" | |
| RANDOM_LTD_GLOBAL_BATCH_SIZE = "global_batch_size" | |
| RANDOM_LTD_SAMPLE_INDEX = "sample_idx" | |
| RANDOM_LTD_ATTENTION_MASK = "attention_mask" | |
| RANDOM_LTD_HIDDEN_STATE_ORDER = "hidden_state_order" | |
| RANDOM_LTD_LAYER_NUM = "random_ltd_layer_num" | |
| RANDOM_LTD_LAYER_ID = "random_ltd_layer_id" | |
| RANDOM_LTD_TOTAL_LAYER_NUM = "total_layer_num" | |
| RANDOM_LTD_CONSUMED_LAYER_TOKENS = "consumed_layer_tokens" | |
| # scheduler | |
| RANDOM_LTD_SCHEDULER = "random_ltd_schedule" | |
| RANDOM_LTD_MAX_VALUE = "max_value" | |
| RANDOM_LTD_MIN_VALUE = "min_value" | |
| RANDOM_LTD_CURRENT_VALUE = "current_value" | |
| RANDOM_LTD_SCHEDULE_CONFIG = "schedule_config" | |
| RANDOM_LTD_INCREASE_STEP = "seq_per_step" | |
| RANDOM_LTD_REQUIRE_STEP = "require_steps" | |
| RANDOM_LTD_SCHEDULER_TYPE = "schedule_type" | |
| RANDOM_LTD_CURR_STEP = "current_steps" | |
| # learning rate schedulers | |
| RANDOM_LTD_LAYER_TOKEN_LR_SCHEDULE = "layer_token_lr_schedule" | |
| RANDOM_LTD_LAYER_TOKEN_LR_ENABLED = "enabled" | |
| RANDOM_LTD_LAYER_TOKEN_LR_ENABLED_DEFAULT = False | |
| RANDOM_LTD_TOTAL_LAYER_TOKENS = "total_layer_tokens" | |
| RANDOM_LTD_WARMUP_TYPE = "warmup_type" | |
| RANDOM_LTD_WARMUP_LAYER_TOKENS = "warmup_layer_tokens" | |