Not compatible with h5py database

[Chrisa142857]

System Info

- `Accelerate` version: 0.24.1
- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.35
- Python version: 3.9.12
- Numpy version: 1.26.4
- PyTorch version (GPU?): 2.1.0+cu121 (True)
- PyTorch XPU available: False
- PyTorch NPU available: False
- System RAM: 1007.57 GB
- GPU type: NVIDIA RTX 6000 Ada Generation
- `Accelerate` default config:
        - compute_environment: LOCAL_MACHINE
        - distributed_type: DEEPSPEED
        - mixed_precision: fp16
        - use_cpu: False
        - debug: False
        - num_processes: 2
        - machine_rank: 0
        - num_machines: 1
        - rdzv_backend: static
        - same_network: True
        - main_training_function: main
        - deepspeed_config: {'gradient_accumulation_steps': 1, 'gradient_clipping': 1.0, 'offload_optimizer_device': 'cpu', 'offload_param_device': 'cpu', 'zero3_init_flag': False, 'zero_stage': 2}
        - downcast_bf16: no
        - tpu_use_cluster: False
        - tpu_use_sudo: False
        - tpu_env: []
        - dynamo_config: {'dynamo_backend': 'INDUCTOR', 'dynamo_mode': 'default', 'dynamo_use_dynamic': True, 'dynamo_use_fullgraph': True}

Information

• The official example scripts
• My own modified scripts

Tasks

• One of the scripts in the examples/ folder of Accelerate or an officially supported no_trainer script in the examples folder of the transformers repo (such as run_no_trainer_glue.py)
• My own task or dataset (give details below)

Reproduction

H5py is working as opening a file handler first, and then loading specific data when indexing the database. Since the H5py file handler is not supported to be opened/read in multiple threads at the same time, using h5py.File() with or without only opening an h5 if accelerator.is_local_main_process will cause RuntimeError: Unable to synchronously get dataspace or RuntimeError: Unable to synchronously open ....

Expected behavior

Being compatible with H5py.