Module: tf.compat.v2.saved_model

Public API for tf.saved_model namespace.

Functions

contains_saved_model(...): Checks whether the provided export directory could contain a SavedModel.

load(...): Load a SavedModel from export_dir.

save(...): Exports the Trackable object obj to SavedModel format.

Other Members

  • ASSETS_DIRECTORY = 'assets'
  • ASSETS_KEY = 'saved_model_assets'
  • CLASSIFY_INPUTS = 'inputs'
  • CLASSIFY_METHOD_NAME = 'tensorflow/serving/classify'
  • CLASSIFY_OUTPUT_CLASSES = 'classes'
  • CLASSIFY_OUTPUT_SCORES = 'scores'
  • DEFAULT_SERVING_SIGNATURE_DEF_KEY = 'serving_default'
  • GPU = 'gpu'
  • PREDICT_INPUTS = 'inputs'
  • PREDICT_METHOD_NAME = 'tensorflow/serving/predict'
  • PREDICT_OUTPUTS = 'outputs'
  • REGRESS_INPUTS = 'inputs'
  • REGRESS_METHOD_NAME = 'tensorflow/serving/regress'
  • REGRESS_OUTPUTS = 'outputs'
  • SAVED_MODEL_FILENAME_PB = 'saved_model.pb'
  • SAVED_MODEL_FILENAME_PBTXT = 'saved_model.pbtxt'
  • SAVED_MODEL_SCHEMA_VERSION = 1
  • SERVING = 'serve'
  • TPU = 'tpu'
  • TRAINING = 'train'
  • VARIABLES_DIRECTORY = 'variables'
  • VARIABLES_FILENAME = 'variables'

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/saved_model