ImportError: cannot import name 'cat_all_gather' from 'pytorchvideo.layers.distributed' (/usr/local/lib/python3.10/dist-packages/pytorchvideo/layers/distributed.py)

# I get this error after installing and update all requirements libraries and packages and I'm using collab GPU to run this code

CODE :
```
# Import necessary libraries
import os
import torch
from slowfast.config.defaults import get_cfg
from slowfast.datasets import loader
from slowfast.utils import checkpoint
from slowfast.models import build_model
from slowfast.solvers import make_optimizer
from slowfast.utils import logger
from slowfast.engine.trainer import do_train

# Set up Google Drive directory for saving model outputs
drive_dir = "/content/drive/MyDrive/slowfast_training"
os.makedirs(drive_dir, exist_ok=True)

# Load the configuration from the saved YAML file
cfg = get_cfg()
cfg.merge_from_file("/content/X3D_FineTune.yaml")

# Create the model and move it to GPU
model = build_model(cfg)
model = model.cuda()

# Load pre-trained weights if available
print(f"Loading pretrained weights from {cfg.TRAIN.CHECKPOINT_FILE_PATH}")
checkpoint_file = cfg.TRAIN.CHECKPOINT_FILE_PATH
checkpoint_data = torch.load(checkpoint_file)
model.load_state_dict(checkpoint_data["model"])

# Prepare dataset loaders for training and validation
train_loader = loader.construct_loader(cfg, "train")
val_loader = loader.construct_loader(cfg, "val")

# Define the optimizer and learning rate scheduler
optimizer = make_optimizer(cfg, model)
lr_scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=30, gamma=0.1)

# Initialize the logger
log_path = os.path.join(drive_dir, "logs")
os.makedirs(log_path, exist_ok=True)
logger = logger.setup_logger(output_dir=log_path)

# Save the checkpoint periodically during training
def save_checkpoint(epoch, model, optimizer, lr_scheduler):
checkpoint_path = os.path.join(drive_dir, f"checkpoint_epoch_{epoch}.pth")
torch.save(
{
"model": model.state_dict(),
"optimizer": optimizer.state_dict(),
"lr_scheduler": lr_scheduler.state_dict(),
"epoch": epoch,
},
checkpoint_path
)
print(f"Checkpoint saved at {checkpoint_path}")

# Start fine-tuning
start_epoch = 0
print(f"Starting training from epoch {start_epoch}")
for epoch in range(start_epoch, cfg.SOLVER.MAX_EPOCH):
do_train(
model=model,
train_loader=train_loader,
val_loader=val_loader,
optimizer=optimizer,
lr_scheduler=lr_scheduler,
start_epoch=epoch,
max_epoch=epoch + 1, # Train one epoch at a time
checkpoint_period=cfg.TRAIN.CHECKPOINT_PERIOD,
log_period=cfg.TRAIN.LOG_PERIOD,
log_dir=log_path
)
# Save checkpoint after each epoch
save_checkpoint(epoch, model, optimizer, lr_scheduler)

# Save the final model to Google Drive
final_model_path = os.path.join(drive_dir, "final_model.pth")
torch.save(
{
"model": model.state_dict(),
"optimizer": optimizer.state_dict(),
"lr_scheduler": lr_scheduler.state_dict(),
"epoch": cfg.SOLVER.MAX_EPOCH,
},
final_model_path
)
print(f"Final model saved to {final_model_path}")
```

ERROR :
```
ImportError Traceback (most recent call last)
[](https://localhost:8080/#) in ()
3 import torch
4 from slowfast.config.defaults import get_cfg
----> 5 from slowfast.datasets import loader
6 from slowfast.utils import checkpoint
7 from slowfast.models import build_model

3 frames
[/usr/local/lib/python3.10/dist-packages/slowfast/utils/distributed.py](https://localhost:8080/#) in
11 import torch.distributed as dist
12
---> 13 from pytorchvideo.layers.distributed import ( # noqa
14 cat_all_gather,
15 get_local_process_group,

ImportError: cannot import name 'cat_all_gather' from 'pytorchvideo.layers.distributed' (/usr/local/lib/python3.10/dist-packages/pytorchvideo/layers/distributed.py)
```