| # 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. |
| # ============================================================================== |
| """Benchmarks for checkpoint-related APIs.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import os |
| import time |
| |
| from tensorflow.python import pywrap_tensorflow |
| from tensorflow.python.framework import dtypes |
| from tensorflow.python.framework import ops |
| from tensorflow.python.module import module |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.ops import control_flow_ops |
| from tensorflow.python.ops import gen_io_ops |
| from tensorflow.python.platform import test |
| from tensorflow.python.training.saving import saveable_object |
| from tensorflow.python.training.tracking import base |
| from tensorflow.python.training.tracking import util |
| |
| |
| class _TrivialSaveable(saveable_object.SaveableObject): |
| |
| def __init__(self, name): |
| op = lambda: array_ops.ones([]) |
| super(_TrivialSaveable, self).__init__( |
| op=op, |
| specs=[saveable_object.SaveSpec( |
| op, "", name, dtype=dtypes.float32, device="CPU:0")], |
| name=name) |
| |
| def restore(self, restored_tensors, restored_shapes): |
| return control_flow_ops.no_op() |
| |
| |
| class _TrivialRestore(base.Trackable): |
| |
| def _gather_saveables_for_checkpoint(self): |
| return {base.VARIABLE_VALUE_KEY: _TrivialSaveable} |
| |
| |
| class _LazyTrivialObjects(module.Module): |
| |
| def __init__(self): |
| self.existing = [_TrivialRestore() for _ in range(5)] |
| self.lazy = [] |
| |
| def __call__(self): |
| if not self.lazy: |
| self.lazy.extend(_TrivialRestore() for _ in range(5)) |
| return |
| |
| |
| def _save_checkpoint(): |
| original_checkpoint = util.Checkpoint(m=_LazyTrivialObjects()) |
| original_checkpoint.m() |
| return original_checkpoint.write(os.path.join(test.get_temp_dir(), "ckpt")) |
| |
| |
| class SavingBenchmarks(test.Benchmark): |
| |
| def _run(self, func, num_iters, execution_mode=None): |
| func() |
| start = time.time() |
| for _ in xrange(num_iters): |
| func() |
| end = time.time() |
| mean_us = (end - start) * 1e6 / num_iters |
| self.report_benchmark( |
| iters=num_iters, |
| wall_time=mean_us, |
| extras={"examples_per_sec": num_iters / (end - start)}) |
| |
| def benchmark_baseline_no_restore(self): |
| |
| def _create_and_call(): |
| checkpoint = util.Checkpoint(m=_LazyTrivialObjects()) |
| checkpoint.m() |
| |
| self._run(_create_and_call, 3) |
| |
| def benchmark_batch_restore(self): |
| checkpoint_path = _save_checkpoint() |
| |
| def _create_and_call(): |
| checkpoint = util.Checkpoint(m=_LazyTrivialObjects()) |
| checkpoint.m() |
| checkpoint.restore(checkpoint_path) |
| |
| self._run(_create_and_call, 3) |
| |
| def benchmark_restore_on_create(self): |
| checkpoint_path = _save_checkpoint() |
| |
| def _create_and_call(): |
| checkpoint = util.Checkpoint(m=_LazyTrivialObjects()) |
| checkpoint.restore(checkpoint_path) |
| checkpoint.m() |
| |
| self._run(_create_and_call, 3) |
| |
| def benchmark_raw_restore(self): |
| checkpoint_path = _save_checkpoint() |
| all_names, all_dtypes = zip(*pywrap_tensorflow.NewCheckpointReader( |
| checkpoint_path).get_variable_to_dtype_map().items()) |
| |
| def _call_restore_v2(): |
| gen_io_ops.restore_v2(checkpoint_path, all_names, [""] * len(all_names), |
| all_dtypes) |
| |
| self._run(_call_restore_v2, 3) |
| |
| |
| if __name__ == "__main__": |
| ops.enable_eager_execution() |
| test.main() |