CIFAR10 TFDV

cifar10_tfdv.py

import tensorflow_data_validation as tfdv
from tensorflow_metadata.proto.v0 import anomalies_pb2

stats = tfdv.load_stats_binary(GCS_PATH_FOR_STATS_PB)
tfdv.visualize_statistics(stats)
# Display output in screenshot later.

schema = tfdv.load_schema_text(GCS_PATH_FOR_SCHEMA_PBTXT)
tfdv.display_schema(schema)
# Display output in screenshot later.

anomalies = anomalies_pb2.Anomalies()
from google.cloud import storage
anomalies_bytes = storage.Client().get_bucket(GCS_BUCKET).blob(PATH_FOR_ANOMALIES_PB).download_as_string()
anomalies.ParseFromString(anomalies_bytes)
tfdv.display_anomalies(anomalies)
# Display output:
# No anomalies found.