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tf.estimator.experimental.call_logit_fn

TensorFlow 2.0 version View source on GitHub

Calls logit_fn (experimental).

Aliases:

  • tf.compat.v1.estimator.experimental.call_logit_fn
  • tf.compat.v2.estimator.experimental.call_logit_fn
tf.estimator.experimental.call_logit_fn(
    logit_fn,
    features,
    mode,
    params,
    config
)

THIS FUNCTION IS EXPERIMENTAL. Keras layers/models are the recommended APIs for logit and model composition.

A utility function that calls the provided logit_fn with the relevant subset of provided arguments. Similar to tf.estimator._call_model_fn().

Args:

  • logit_fn: A logit_fn as defined above.
  • features: The features dict.
  • mode: TRAIN / EVAL / PREDICT ModeKeys.
  • params: The hyperparameter dict.
  • config: The configuration object.

Returns:

A logit Tensor, the output of logit_fn.

Raises:

  • ValueError: if logit_fn does not return a Tensor or a dictionary mapping strings to Tensors.