tf.io.decode_json_example  |  TensorFlow v2.16.1 (original) (raw)

tf.io.decode_json_example

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Convert JSON-encoded Example records to binary protocol buffer strings.

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Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.decode_json_example, tf.compat.v1.io.decode_json_example

tf.io.decode_json_example(
    json_examples, name=None
)

This op converts JSON-serialized tf.train.Example (maybe created withjson_format.MessageToJson, following thestandard JSON mapping) to a binary-serialized tf.train.Example (equivalent toExample.SerializeToString()) suitable for conversion to tensors withtf.io.parse_example.

Here is a tf.train.Example proto:

example = tf.train.Example( features=tf.train.Features( feature={ "a": tf.train.Feature( int64_list=tf.train.Int64List( value=[1, 1, 3]))}))

Here it is converted to JSON:

from google.protobuf import json_format example_json = json_format.MessageToJson(example) print(example_json) { "features": { "feature": { "a": { "int64List": { "value": [ "1", "1", "3" ] } } } } }

This op converts the above json string to a binary proto:

example_binary = tf.io.decode_json_example(example_json) example_binary.numpy() b'\n\x0f\n\r\n\x01a\x12\x08\x1a\x06\x08\x01\x08\x01\x08\x03'

The OP works on string tensors of andy shape:

tf.io.decode_json_example([ [example_json, example_json], [example_json, example_json]]).shape.as_list() [2, 2]

This resulting binary-string is equivalent to Example.SerializeToString(), and can be converted to Tensors using tf.io.parse_example and related functions:

tf.io.parse_example( serialized=[example_binary.numpy(), example.SerializeToString()], features = {'a': tf.io.FixedLenFeature(shape=[3], dtype=tf.int64)}) {'a': <tf.Tensor: shape=(2, 3), dtype=int64, numpy= array([[1, 1, 3], [1, 1, 3]])>}