W3cubDocs

/TensorFlow 2.4

tf.estimator.experimental.build_raw_supervised_input_receiver_fn

Build a supervised_input_receiver_fn for raw features and labels.

This function wraps tensor placeholders in a supervised_receiver_fn with the expectation that the features and labels appear precisely as the model_fn expects them. Features and labels can therefore be dicts of tensors, or raw tensors.

Args
features a dict of string to Tensor or Tensor.
labels a dict of string to Tensor or Tensor.
default_batch_size the number of query examples expected per batch. Leave unset for variable batch size (recommended).
Returns
A supervised_input_receiver_fn.
Raises
ValueError if features and labels have overlapping keys.

© 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/r2.4/api_docs/python/tf/estimator/experimental/build_raw_supervised_input_receiver_fn