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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| import os, gzip, shutil | ||
| from minio import Minio | ||
| from torchvision import datasets | ||
| from torchvision.transforms import Compose, ToTensor | ||
|
|
||
| def main(dataset_path): | ||
| # Download and Load dataset | ||
| if all(var in os.environ for var in ["AWS_DEFAULT_ENDPOINT","AWS_ACCESS_KEY_ID","AWS_SECRET_ACCESS_KEY","AWS_STORAGE_BUCKET","AWS_STORAGE_BUCKET_MNIST_DIR"]): | ||
| print("Using provided storage bucket to download datasets...") | ||
| dataset_dir = os.path.join(dataset_path, "MNIST/raw") | ||
| endpoint = os.environ.get("AWS_DEFAULT_ENDPOINT") | ||
| access_key = os.environ.get("AWS_ACCESS_KEY_ID") | ||
| secret_key = os.environ.get("AWS_SECRET_ACCESS_KEY") | ||
| bucket_name = os.environ.get("AWS_STORAGE_BUCKET") | ||
| print(f"Storage bucket endpoint: {endpoint}") | ||
| print(f"Storage bucket name: {bucket_name}\n") | ||
|
|
||
| # remove prefix if specified in storage bucket endpoint url | ||
| secure = True | ||
| if endpoint.startswith("https://"): | ||
| endpoint = endpoint[len("https://") :] | ||
| elif endpoint.startswith("http://"): | ||
| endpoint = endpoint[len("http://") :] | ||
| secure = False | ||
|
|
||
| client = Minio( | ||
| endpoint, | ||
| access_key=access_key, | ||
| secret_key=secret_key, | ||
| cert_check=False, | ||
| secure=secure | ||
| ) | ||
| if not os.path.exists(dataset_dir): | ||
| os.makedirs(dataset_dir) | ||
| else: | ||
| print(f"Directory '{dataset_dir}' already exists") | ||
|
|
||
| # To download datasets from storage bucket's specific directory, use prefix to provide directory name | ||
| prefix=os.environ.get("AWS_STORAGE_BUCKET_MNIST_DIR") | ||
| print(f"Storage bucket MNIST directory prefix: {prefix}\n") | ||
|
|
||
| # download all files from prefix folder of storage bucket recursively | ||
| for item in client.list_objects( | ||
| bucket_name, prefix=prefix, recursive=True | ||
| ): | ||
| file_name=item.object_name[len(prefix)+1:] | ||
| dataset_file_path = os.path.join(dataset_dir, file_name) | ||
| print(f"Downloading dataset file {file_name} to {dataset_file_path}..") | ||
| if not os.path.exists(dataset_file_path): | ||
| client.fget_object( | ||
| bucket_name, item.object_name, dataset_file_path | ||
| ) | ||
| # Unzip files -- | ||
| ## Sample zipfilepath : ../data/MNIST/raw/t10k-images-idx3-ubyte.gz | ||
| with gzip.open(dataset_file_path, "rb") as f_in: | ||
| filename=file_name.split(".")[0] #-> t10k-images-idx3-ubyte | ||
| file_path=("/".join(dataset_file_path.split("/")[:-1])) #->../data/MNIST/raw | ||
| full_file_path=os.path.join(file_path,filename) #->../data/MNIST/raw/t10k-images-idx3-ubyte | ||
| print(f"Extracting {dataset_file_path} to {file_path}..") | ||
|
|
||
| with open(full_file_path, "wb") as f_out: | ||
| shutil.copyfileobj(f_in, f_out) | ||
| print(f"Dataset file downloaded : {full_file_path}\n") | ||
| # delete zip file | ||
| os.remove(dataset_file_path) | ||
| else: | ||
| print(f"File-path '{dataset_file_path}' already exists") | ||
| download_datasets = False | ||
| else: | ||
| print("Using default MNIST mirror references to download datasets ...") | ||
| print("Skipped usage of S3 storage bucket, because required environment variables aren't provided!\nRequired environment variables : AWS_DEFAULT_ENDPOINT, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_STORAGE_BUCKET, AWS_STORAGE_BUCKET_MNIST_DIR") | ||
| download_datasets = True | ||
|
|
||
| datasets.MNIST( | ||
| dataset_path, | ||
| train=False, | ||
| download=download_datasets, | ||
| transform=Compose([ToTensor()]) | ||
| ) | ||
|
|
||
| if __name__ == "__main__": | ||
| import argparse | ||
| parser = argparse.ArgumentParser(description="MNIST dataset download") | ||
| parser.add_argument('--dataset_path', type=str, default="../data", help='Path to MNIST datasets (default: ../data)') | ||
|
|
||
| args = parser.parse_args() | ||
|
|
||
| main( | ||
| dataset_path=args.dataset_path, | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -2,4 +2,5 @@ | |
| torchvision==0.19.0 | ||
| tensorboard==2.18.0 | ||
| fsspec[http]==2024.6.1 | ||
| numpy==2.0.2 | ||
| numpy==2.0.2 | ||
| minio==7.2.13 | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,5 @@ | ||
| torchvision==0.19.0 | ||
| tensorboard==2.18.0 | ||
| fsspec[http]==2024.6.1 | ||
| numpy==2.0.2 | ||
| numpy==2.0.2 | ||
| minio==7.2.13 |
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