Exemplos de save_and_load_benchmark em Python

Exemplo n.º 1

    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'])

Exemplo n.º 2

Arquivo: inception_resnet_v2_benchmark_test.py Projeto: king1rule/tensorflow

    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'])

Exemplo n.º 3

Arquivo: efficientnet_benchmark_test.py Projeto: MFChunga/poo

    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'])

Exemplo n.º 4

Arquivo: nasnet_large_benchmark_test.py Projeto: king1rule/tensorflow

    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'])

Exemplo n.º 5

Arquivo: densenet_benchmark_test.py Projeto: MFChunga/poo

    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'])