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| # Copyright 2019 The TensorFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # ============================================================================== | |
| """Runs a memory usage benchmark for a Tensorflow Hub model. | |
| Loads a SavedModel and records memory usage. | |
| """ | |
| import functools | |
| import time | |
| from absl import flags | |
| import tensorflow as tf | |
| import tensorflow_hub as hub | |
| from official.benchmark.perfzero_benchmark import PerfZeroBenchmark | |
| FLAGS = flags.FLAGS | |
| class TfHubMemoryUsageBenchmark(PerfZeroBenchmark): | |
| """A benchmark measuring memory usage for a given TF Hub SavedModel.""" | |
| def __init__(self, | |
| hub_model_handle_list=None, | |
| output_dir=None, | |
| default_flags=None, | |
| root_data_dir=None, | |
| **kwargs): | |
| super(TfHubMemoryUsageBenchmark, self).__init__( | |
| output_dir=output_dir, default_flags=default_flags, **kwargs) | |
| if hub_model_handle_list: | |
| for hub_model_handle in hub_model_handle_list.split(';'): | |
| # Converts a model handle of the form | |
| # https://tfhub.dev/google/nnlm-en-dim128/1 to valid python method name | |
| # like google_nnlm_en_dim128_1. | |
| hub_model_method_name = hub_model_handle.replace( | |
| 'https://tfhub.dev', | |
| '').replace('/', '_').replace('-', '_').strip('_') | |
| setattr( | |
| self, 'benchmark_' + hub_model_method_name, | |
| functools.partial(self.benchmark_memory_usage, hub_model_handle)) | |
| def benchmark_memory_usage( | |
| self, hub_model_handle='https://tfhub.dev/google/nnlm-en-dim128/1'): | |
| start_time_sec = time.time() | |
| self.load_model(hub_model_handle) | |
| wall_time_sec = time.time() - start_time_sec | |
| metrics = [] | |
| self.report_benchmark(iters=-1, wall_time=wall_time_sec, metrics=metrics) | |
| def load_model(self, hub_model_handle): | |
| """Loads a TF Hub module.""" | |
| hub.load(hub_model_handle) | |
| if __name__ == '__main__': | |
| tf.test.main() | |