benchmarking/pipemode_benchmark/docker/gpu_pipeline_script.py [33:51]:
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    @property
    def prefetch_size(self):
        return int(self.hp.get('prefetch_size', 1000))

    @property
    def channel(self):
        return self.hp.get('channel', 'elizabeth')

    @property
    def dimension(self):
        return int(self.hp['dimension'])

    @property
    def epochs(self):
        return int(self.hp.get('epochs', 1))

    @property
    def parallel_transform_calls(self):
        return int(self.hp.get('parallel_transform_calls', max(1, multiprocessing.cpu_count() - 2)))
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benchmarking/pipemode_benchmark/docker/input_only_script.py [31:49]:
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    @property
    def prefetch_size(self):
        return int(self.hp.get('prefetch_size', 1000))

    @property
    def channel(self):
        return self.hp.get('channel', 'elizabeth')

    @property
    def dimension(self):
        return int(self.hp['dimension'])

    @property
    def epochs(self):
        return int(self.hp.get('epochs', 1))

    @property
    def parallel_transform_calls(self):
        return int(self.hp.get('parallel_transform_calls', max(1, multiprocessing.cpu_count() - 2)))
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