def benchmark_save_and_load_densenet_201(self): app = tf.keras.applications.DenseNet201 save_result, load_result = ( saved_model_benchmark_util.save_and_load_benchmark(app)) self.report_benchmark(iters=save_result['iters'], wall_time=save_result['wall_time'], name=save_result['name']) self.report_benchmark(iters=load_result['iters'], wall_time=load_result['wall_time'], name=load_result['name'])
def benchmark_save_and_load_inception_resnet_v2(self): app = tf.keras.applications.InceptionResNetV2 save_result, load_result = ( saved_model_benchmark_util.save_and_load_benchmark(app)) self.report_benchmark(iters=save_result['iters'], wall_time=save_result['wall_time'], name=save_result['name']) self.report_benchmark(iters=load_result['iters'], wall_time=load_result['wall_time'], name=load_result['name'])
def benchmark_save_and_load_nasnet_large(self): app = tf.keras.applications.NASNetLarge save_result, load_result = ( saved_model_benchmark_util.save_and_load_benchmark(app)) self.report_benchmark(iters=save_result['iters'], wall_time=save_result['wall_time'], name=save_result['name']) self.report_benchmark(iters=load_result['iters'], wall_time=load_result['wall_time'], name=load_result['name'])
def benchmark_save_and_load_efficient_net_b7(self): app = tf.keras.applications.EfficientNetB7 save_result, load_result = ( saved_model_benchmark_util.save_and_load_benchmark(app)) self.report_benchmark(iters=save_result['iters'], wall_time=save_result['wall_time'], name=save_result['name']) self.report_benchmark(iters=load_result['iters'], wall_time=load_result['wall_time'], name=load_result['name'])
def benchmark_save_and_load_vgg19(self): app = tf.keras.applications.VGG19 save_result, load_result = ( saved_model_benchmark_util.save_and_load_benchmark(app)) self.report_benchmark(iters=save_result['iters'], wall_time=save_result['wall_time'], name=save_result['name']) self.report_benchmark(iters=load_result['iters'], wall_time=load_result['wall_time'], name=load_result['name'])
def benchmark_save_and_load_inception_resnet_v2(self): app = tf.keras.applications.InceptionResNetV2 ( save_result, load_result, ) = saved_model_benchmark_util.save_and_load_benchmark(app) self.report_benchmark( iters=save_result["iters"], wall_time=save_result["wall_time"], name=save_result["name"], ) self.report_benchmark( iters=load_result["iters"], wall_time=load_result["wall_time"], name=load_result["name"], )
def benchmark_save_and_load_densenet_201(self): app = tf.keras.applications.DenseNet201 ( save_result, load_result, ) = saved_model_benchmark_util.save_and_load_benchmark(app) self.report_benchmark( iters=save_result["iters"], wall_time=save_result["wall_time"], name=save_result["name"], ) self.report_benchmark( iters=load_result["iters"], wall_time=load_result["wall_time"], name=load_result["name"], )
def benchmark_save_and_load_nasnet_large(self): app = tf.keras.applications.NASNetLarge ( save_result, load_result, ) = saved_model_benchmark_util.save_and_load_benchmark(app) self.report_benchmark( iters=save_result["iters"], wall_time=save_result["wall_time"], name=save_result["name"], ) self.report_benchmark( iters=load_result["iters"], wall_time=load_result["wall_time"], name=load_result["name"], )
def benchmark_save_and_load_efficient_net_b7(self): app = tf.keras.applications.EfficientNetB7 ( save_result, load_result, ) = saved_model_benchmark_util.save_and_load_benchmark(app) self.report_benchmark( iters=save_result["iters"], wall_time=save_result["wall_time"], name=save_result["name"], ) self.report_benchmark( iters=load_result["iters"], wall_time=load_result["wall_time"], name=load_result["name"], )