pytorch/sagemakercv/utils/runner/hooks/hook.py [2:56]:
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class Hook(object):

    def before_run(self, runner):
        pass

    def after_run(self, runner):
        pass

    def before_epoch(self, runner):
        pass

    def after_epoch(self, runner):
        pass

    def before_iter(self, runner):
        pass

    def after_iter(self, runner):
        pass

    def before_train_epoch(self, runner):
        self.before_epoch(runner)

    def before_val_epoch(self, runner):
        self.before_epoch(runner)

    def after_train_epoch(self, runner):
        self.after_epoch(runner)

    def after_val_epoch(self, runner):
        self.after_epoch(runner)

    def before_train_iter(self, runner):
        self.before_iter(runner)

    def before_val_iter(self, runner):
        self.before_iter(runner)

    def after_train_iter(self, runner):
        self.after_iter(runner)

    def after_val_iter(self, runner):
        self.after_iter(runner)

    def every_n_epochs(self, runner, n):
        return (runner.epoch + 1) % n == 0 if n > 0 else False

    def every_n_inner_iters(self, runner, n):
        return (runner.inner_iter + 1) % n == 0 if n > 0 else False

    def every_n_iters(self, runner, n):
        return (runner.iter + 1) % n == 0 if n > 0 else False

    def end_of_epoch(self, runner):
        return runner.inner_iter + 1 == runner.num_examples
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tensorflow/sagemakercv/utils/runner/hooks/hook.py [18:72]:
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class Hook(object):

    def before_run(self, runner):
        pass

    def after_run(self, runner):
        pass

    def before_epoch(self, runner):
        pass

    def after_epoch(self, runner):
        pass

    def before_iter(self, runner):
        pass

    def after_iter(self, runner):
        pass

    def before_train_epoch(self, runner):
        self.before_epoch(runner)

    def before_val_epoch(self, runner):
        self.before_epoch(runner)

    def after_train_epoch(self, runner):
        self.after_epoch(runner)

    def after_val_epoch(self, runner):
        self.after_epoch(runner)

    def before_train_iter(self, runner):
        self.before_iter(runner)

    def before_val_iter(self, runner):
        self.before_iter(runner)

    def after_train_iter(self, runner):
        self.after_iter(runner)

    def after_val_iter(self, runner):
        self.after_iter(runner)

    def every_n_epochs(self, runner, n):
        return (runner.epoch + 1) % n == 0 if n > 0 else False

    def every_n_inner_iters(self, runner, n):
        return (runner.inner_iter + 1) % n == 0 if n > 0 else False

    def every_n_iters(self, runner, n):
        return (runner.iter + 1) % n == 0 if n > 0 else False

    def end_of_epoch(self, runner):
        return runner.inner_iter + 1 == runner.num_examples
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