# If you want to run this example on multiple nodes, you need to set the following parameters:
# - num_machines: the number of nodes
# - num_processes: the number of GPUs in all nodes, num_machines * num_processes_per_machine
# - main_process_ip: the IP address of the main process, please keep it the same across all nodes
# - main_process_port: the port of all nodes, please keep it the same across all nodes
# - machine_rank: the rank of the current machine, starting from 0, and it should be 0 for main_process_ip

compute_environment: LOCAL_MACHINE
debug: false
distributed_type: FSDP
downcast_bf16: 'no'
fsdp_config:
  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
  fsdp_backward_prefetch: BACKWARD_PRE
  fsdp_forward_prefetch: false
  fsdp_cpu_ram_efficient_loading: true
  fsdp_offload_params: false
  fsdp_sharding_strategy: FULL_SHARD
  fsdp_state_dict_type: FULL_STATE_DICT
  fsdp_sync_module_states: true
  fsdp_use_orig_params: true
machine_rank: 0
main_training_function: main
mixed_precision: bf16  # or fp16
main_process_ip: 192.168.0.1
main_process_port: 29500
num_machines: 2  # the number of nodes
num_processes: 16  # the number of GPUs in all nodes, num_machines * num_processes_per_machine
rdzv_backend: static
same_network: true
tpu_env: []
tpu_use_cluster: false
tpu_use_sudo: false
use_cpu: false