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SCALER_NAME = "scaler.pt"
MODEL_NAME = "pytorch_model"
SAFE_MODEL_NAME = "model"
RNG_STATE_NAME = "random_states"
OPTIMIZER_NAME = "optimizer"
SCHEDULER_NAME = "scheduler"
SAMPLER_NAME = "sampler"
WEIGHTS_NAME = f"{MODEL_NAME}.bin"
WEIGHTS_INDEX_NAME = f"{WEIGHTS_NAME}.index.json"
SAFE_WEIGHTS_NAME = f"{SAFE_MODEL_NAME}.safetensors"
SAFE_WEIGHTS_INDEX_NAME = f"{SAFE_WEIGHTS_NAME}.index.json"
SAGEMAKER_PYTORCH_VERSION = "1.10.2"
SAGEMAKER_PYTHON_VERSION = "py38"
SAGEMAKER_TRANSFORMERS_VERSION = "4.17.0"
SAGEMAKER_PARALLEL_EC2_INSTANCES = ["ml.p3.16xlarge", "ml.p3dn.24xlarge", "ml.p4dn.24xlarge"]
FSDP_SHARDING_STRATEGY = ["FULL_SHARD", "SHARD_GRAD_OP", "NO_SHARD", "HYBRID_SHARD", "HYBRID_SHARD_ZERO2"]
FSDP_AUTO_WRAP_POLICY = ["TRANSFORMER_BASED_WRAP", "SIZE_BASED_WRAP", "NO_WRAP"]
FSDP_BACKWARD_PREFETCH = ["BACKWARD_PRE", "BACKWARD_POST", "NO_PREFETCH"]
FSDP_STATE_DICT_TYPE = ["FULL_STATE_DICT", "LOCAL_STATE_DICT", "SHARDED_STATE_DICT"]
FSDP_PYTORCH_VERSION = "2.1.0"
FSDP_MODEL_NAME = "pytorch_model_fsdp"
DEEPSPEED_MULTINODE_LAUNCHERS = ["pdsh", "standard", "openmpi", "mvapich", "mpich"]
TORCH_DYNAMO_MODES = ["default", "reduce-overhead", "max-autotune"]
STR_OPERATION_TO_FUNC = {">": op.gt, ">=": op.ge, "==": op.eq, "!=": op.ne, "<=": op.le, "<": op.lt}
# These are the args for `torch.distributed.launch` for pytorch < 1.9
TORCH_LAUNCH_PARAMS = [
"nnodes",
"nproc_per_node",
"rdzv_backend",
"rdzv_endpoint",
"rdzv_id",
"rdzv_conf",
"standalone",
"max_restarts",
"monitor_interval",
"start_method",
"role",
"module",
"m",
"no_python",
"run_path",
"log_dir",
"r",
"redirects",
"t",
"tee",
"node_rank",
"master_addr",
"master_port",
]
CUDA_DISTRIBUTED_TYPES = ["DEEPSPEED", "MULTI_GPU", "FSDP", "MEGATRON_LM"]
TORCH_DISTRIBUTED_OPERATION_TYPES = CUDA_DISTRIBUTED_TYPES + ["MULTI_NPU", "MULTI_XPU", "MULTI_CPU"]
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