Tensorflow - ValueError:形状的等级必须为1，但对于“ParseExample/ParseExample”，其等级为0

# 错误示例
example_proto = tf.constant([b'example_proto_data'])
parsed_tensors = tf.io.parse_example(example_proto, feature_description)

# 正确示例
example_protos = tf.constant([b'example_proto_data_1', b'example_proto_data_2'])
parsed_tensors = tf.io.parse_example(example_protos, feature_description)

feature_description = {
    'feature_name': tf.io.FixedLenFeature([], tf.string),
    # 添加其他特征描述
}

print(example_protos.shape)  # 应该输出 (batch_size,)

import tensorflow as tf

# 示例数据
example_protos = tf.constant([
    b'feature_name:value1',
    b'feature_name:value2'
])

# 特征描述
feature_description = {
    'feature_name': tf.io.FixedLenFeature([], tf.string),
}

# 解析示例
parsed_tensors = tf.io.parse_example(example_protos, feature_description)

# 打印解析结果
print(parsed_tensors)