private void cancel(final String msg, JobState resultingState) {
if (resultingState == JobState.CANCELLED) {
Log.info("Job " + self() + "(" + description + ") was cancelled.");
} else {
Log.err("Job " + self() + "(" + description + ") failed.");
Log.err(msg);
}
exception = msg;
state = resultingState;
// replace finished job by a job handle
replaceByJobHandle();
DKV.write_barrier();
final Job job = this;
H2O.submitTask(
new H2OCountedCompleter() {
@Override
public void compute2() {
job.onCancelled();
}
});
}
/**
* Forks computation of this job.
*
* <p>The call does not block.
*
* @return always returns this job.
*/
public Job fork() {
init();
H2OCountedCompleter task =
new H2OCountedCompleter() {
@Override
public void compute2() {
try {
try {
// Exec always waits till the end of computation
Job.this.exec();
Job.this.remove();
} catch (Throwable t) {
if (!(t instanceof ExpectedExceptionForDebug)) Log.err(t);
Job.this.cancel(t);
}
} finally {
tryComplete();
}
}
};
start(task);
H2O.submitTask(task);
return this;
}
/**
* Cross-Validate this Job (to be overridden for each instance, which also calls
* genericCrossValidation)
*
* @param splits Frames containing train/test splits
* @param cv_preds Store the predictions for each cross-validation run
* @param offsets Array to store the offsets of starting row indices for each cross-validation
* run
* @param i Which fold of cross-validation to perform
*/
public void crossValidate(Frame[] splits, Frame[] cv_preds, long[] offsets, int i) {
throw H2O.unimpl();
}