vision/src/autogluon/vision/detector/detector.py [351:380]:
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        return data

    def _validate_kwargs(self, kwargs):
        """validate and initialize default kwargs"""

        valid_kwargs = {'holdout_frac', 'random_state', 'nthreads_per_trial', 'ngpus_per_trial', 'hyperparameter_tune_kwargs'}
        invalid_kwargs = []
        for key in kwargs:
            if key not in valid_kwargs:
                invalid_kwargs.append(key)
        if invalid_kwargs:
            raise KeyError(f'Invalid kwargs specified: {invalid_kwargs}. Valid kwargs names: {list(valid_kwargs)}')

        kwargs['holdout_frac'] = kwargs.get('holdout_frac', 0.1)
        if not (0 < kwargs['holdout_frac'] < 1.0):
            raise ValueError(f'Range error for `holdout_frac`, expected to be within range (0, 1), given {kwargs["holdout_frac"]}')
        kwargs['random_state'] = kwargs.get('random_state', None)
        kwargs['nthreads_per_trial'] = kwargs.get('nthreads_per_trial', None)
        kwargs['ngpus_per_trial'] = kwargs.get('ngpus_per_trial', None)
        if kwargs['ngpus_per_trial'] is not None and kwargs['ngpus_per_trial'] > 0:
            detected_gpu = self._get_num_gpus_available()
            if detected_gpu < kwargs['ngpus_per_trial']:
                raise ValueError(f"Insufficient detected # gpus {detected_gpu} vs requested {kwargs['ngpus_per_trial']}")
        # tune kwargs
        hpo_tune_args = kwargs.get('hyperparameter_tune_kwargs', {})
        hpo_tune_args['num_trials'] = hpo_tune_args.get('num_trials', 1)
        hpo_tune_args['searcher'] = hpo_tune_args.get('searcher', 'random')
        if not hpo_tune_args['searcher'] in ('random', 'grid'):
            raise ValueError(f"Invalid searcher: {hpo_tune_args['searcher']}, supported: ('random', 'grid')")
        hpo_tune_args['scheduler'] = hpo_tune_args.get('scheduler', 'local')
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vision/src/autogluon/vision/predictor/predictor.py [477:506]:
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        return data

    def _validate_kwargs(self, kwargs):
        """validate and initialize default kwargs"""

        valid_kwargs = {'holdout_frac', 'random_state', 'nthreads_per_trial', 'ngpus_per_trial', 'hyperparameter_tune_kwargs'}
        invalid_kwargs = []
        for key in kwargs:
            if key not in valid_kwargs:
                invalid_kwargs.append(key)
        if invalid_kwargs:
            raise KeyError(f'Invalid kwargs specified: {invalid_kwargs}. Valid kwargs names: {list(valid_kwargs)}')

        kwargs['holdout_frac'] = kwargs.get('holdout_frac', 0.1)
        if not (0 < kwargs['holdout_frac'] < 1.0):
            raise ValueError(f'Range error for `holdout_frac`, expected to be within range (0, 1), given {kwargs["holdout_frac"]}')
        kwargs['random_state'] = kwargs.get('random_state', None)
        kwargs['nthreads_per_trial'] = kwargs.get('nthreads_per_trial', None)
        kwargs['ngpus_per_trial'] = kwargs.get('ngpus_per_trial', None)
        if kwargs['ngpus_per_trial'] is not None and kwargs['ngpus_per_trial'] > 0:
            detected_gpu = self._get_num_gpus_available()
            if detected_gpu < kwargs['ngpus_per_trial']:
                raise ValueError(f"Insufficient detected # gpus {detected_gpu} vs requested {kwargs['ngpus_per_trial']}")
        # tune kwargs
        hpo_tune_args = kwargs.get('hyperparameter_tune_kwargs', {})
        hpo_tune_args['num_trials'] = hpo_tune_args.get('num_trials', 1)
        hpo_tune_args['searcher'] = hpo_tune_args.get('searcher', 'random')
        if not hpo_tune_args['searcher'] in ('random', 'grid'):
            raise ValueError(f"Invalid searcher: {hpo_tune_args['searcher']}, supported: ('random', 'grid')")
        hpo_tune_args['scheduler'] = hpo_tune_args.get('scheduler', 'local')
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