2024-09-29 23:24:23 发布
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有人能提供Tensorflow完整工作代码的例子吗
tf.contrib.learn.ExportStrategy
文档中缺少示例。在Github或Stackoverflow上,我也找不到这个看似晦涩的Tensorflow操作的例子。在
文档:https://www.tensorflow.org/api_docs/python/tf/contrib/learn/ExportStrategy
Google CloudML在这里有一个很好的工作示例: https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/census/customestimator/trainer
您需要使用它们的完整代码才能使示例正常工作,但下面是如何使用ExportStrategy的要点:
import tensorflow as tf from tensorflow.contrib.learn.python.learn import learn_runner from tensorflow.contrib.learn.python.learn.utils import ( saved_model_export_utils) from tensorflow.contrib.training.python.training import hparam def csv_serving_input_fn(): """Build the serving inputs.""" csv_row = tf.placeholder( shape=[None], dtype=tf.string ) features = parse_csv(csv_row) # Ignore label column features.pop(LABEL_COLUMN) return tf.estimator.export.ServingInputReceiver( features, {'csv_row': csv_row}) def example_serving_input_fn(): """Build the serving inputs.""" example_bytestring = tf.placeholder( shape=[None], dtype=tf.string, ) features = tf.parse_example( example_bytestring, tf.feature_column.make_parse_example_spec(INPUT_COLUMNS) ) return tf.estimator.export.ServingInputReceiver( features, {'example_proto': example_bytestring}) def json_serving_input_fn(): """Build the serving inputs.""" inputs = {} for feat in INPUT_COLUMNS: inputs[feat.name] = tf.placeholder(shape=[None], dtype=feat.dtype) return tf.estimator.export.ServingInputReceiver(inputs, inputs) SERVING_FUNCTIONS = { 'JSON': json_serving_input_fn, 'EXAMPLE': example_serving_input_fn, 'CSV': csv_serving_input_fn } # Run the training job # learn_runner pulls configuration information from environment # variables using tf.learn.RunConfig and uses this configuration # to conditionally execute Experiment, or param server code learn_runner.run( generate_experiment_fn( min_eval_frequency=args.min_eval_frequency, eval_delay_secs=args.eval_delay_secs, train_steps=args.train_steps, eval_steps=args.eval_steps, export_strategies=[saved_model_export_utils.make_export_strategy( SERVING_FUNCTIONS[args.export_format], exports_to_keep=1 )] ), run_config=tf.contrib.learn.RunConfig(model_dir=args.job_dir), hparams=hparam.HParams(**args.__dict__) )
Google CloudML在这里有一个很好的工作示例: https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/census/customestimator/trainer
您需要使用它们的完整代码才能使示例正常工作,但下面是如何使用ExportStrategy的要点:
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