Create Custom Session Run Hooks

Create a set of session run hooks, used to record information during training of an estimator. See Details for more information on the various hooks that can be defined.

session_run_hook(begin = function() { },
  after_create_session = function(session, coord) { },
  before_run = function(context) { }, after_run = function(context, values)
  { }, end = function(session) { })

Arguments

begin	`function()`: An R function, to be called once before using the session.
after_create_session	`function(session, coord)`: An R function, to be called once the new TensorFlow session has been created.
before_run	`function(run_context)`: An R function to be called before a run.
after_run	`function(run_context, run_values)`: An R function to be called after a run.
end	`function(session)`: An R function to be called at the end of the session. Typically, you'll want to define a `before_run()` hook that defines the set of tensors you're interested in for a particular run, and then you'll use the resulting values of those tensors in your `after_run()` hook. The tensors requested in your `before_run()` hook will be made available as part of the second argument in the `after_run()` hook (the `values` argument).

Create Custom Session Run Hooks

Arguments

See also