tf_sagemaker_dataset_to_tfrecords2.py

convert_mnist_fashion_dataset(train_images, train_labels, 'train', 'data')
convert_mnist_fashion_dataset(test_images, test_labels, 'validation', 'data')

import sagemaker
bucket = sagemaker.Session().default_bucket() # Automatically create a bucket
prefix = 'radix/mnist_fashion_tutorial' # Subfolder prefix

s3_url = sagemaker.Session().upload_data(path='data', 
                                         bucket=bucket, 
                                         key_prefix=prefix+'/data/mnist')
print(s3_url)