def benchmark_with_function_custom_loops_300_epochs_8_gpus(self): kwargs = utils.get_cifar10_kwargs() kwargs.update({'epochs': 300, 'data_format': 'channels_first', 'bottleneck': False, 'compression': 1., 'num_gpu': 8, 'batch_size': 512}) self._run_and_report_benchmark(**kwargs)
def benchmark_with_function_custom_loops_300_epochs_8_gpus(self): kwargs = utils.get_cifar10_kwargs() kwargs.update({ 'epochs': 300, 'data_format': 'channels_first', 'bottleneck': False, 'compression': 1., 'num_gpu': 8, 'batch_size': 512 }) self._run_and_report_benchmark(**kwargs)
def benchmark_with_function_custom_loops(self): kwargs = utils.get_cifar10_kwargs() self._run_and_report_benchmark(**kwargs)
def benchmark_with_keras_fit(self): kwargs = utils.get_cifar10_kwargs() kwargs.update({'train_mode': 'keras_fit'}) self._run_and_report_benchmark(**kwargs)
def benchmark_without_function_custom_loops(self): kwargs = utils.get_cifar10_kwargs() kwargs.update({'enable_function': False}) self._run_and_report_benchmark(**kwargs)
def benchmark_with_keras_fit_300_epochs(self): kwargs = utils.get_cifar10_kwargs() kwargs.update({'epochs': 300, 'data_format': 'channels_first', 'train_mode': 'keras_fit', 'bottleneck': False, 'compression': 1.}) self._run_and_report_benchmark(**kwargs)
def benchmark_with_function_custom_loops(self): kwargs = utils.get_cifar10_kwargs() self._run_and_report_benchmark(**kwargs)