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Update pytorch data loader example #41

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12 changes: 9 additions & 3 deletions examples/06_pytorch_oxe_dataloader.py
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Expand Up @@ -2,16 +2,22 @@
This example shows how to use the `octo.data` dataloader with PyTorch by wrapping it in a simple PyTorch
dataloader. The config below also happens to be our exact pretraining config (except for the batch size and
shuffle buffer size, which are reduced for demonstration purposes).

Before running the script, please download the OXE data (e.g. via the script here:
https://github.com/kpertsch/rlds_dataset_mod/blob/main/prepare_open_x.sh)

Then modify the `DATA_PATH` variable below to point to the directory where you downloaded the data to.
"""
import numpy as np
from octo.data.dataset import make_interleaved_dataset
from octo.data.oxe import make_oxe_dataset_kwargs_and_weights
import tensorflow as tf
import torch
from torch.utils.data import DataLoader
import tqdm

DATA_PATH = "gs://rail-orca-central2/resize_256_256"
from octo.data.dataset import make_interleaved_dataset
from octo.data.oxe import make_oxe_dataset_kwargs_and_weights

DATA_PATH = "/path/to/your/oxe/directory"

tf.config.set_visible_devices([], "GPU")

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