wehub-resource-sync
114 lines
3.4 KiB
Python
114 lines
3.4 KiB
Python
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Benchmarks for checkpoint-related APIs."""
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import os
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import time
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from tensorflow.python.checkpoint import checkpoint as util
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from tensorflow.python.framework import ops
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from tensorflow.python.module import module
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.ops import gen_io_ops
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from tensorflow.python.platform import test
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from tensorflow.python.trackable import base
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from tensorflow.python.training import py_checkpoint_reader
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class _TrivialRestore(base.Trackable):
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def _serialize_to_tensors(self):
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return {base.VARIABLE_VALUE_KEY: array_ops.ones([])}
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def _restore_from_tensors(self, restored_tensors):
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return control_flow_ops.no_op()
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class _LazyTrivialObjects(module.Module):
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def __init__(self):
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self.existing = [_TrivialRestore() for _ in range(5)]
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self.lazy = []
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def __call__(self):
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if not self.lazy:
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self.lazy.extend(_TrivialRestore() for _ in range(5))
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return
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def _save_checkpoint():
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original_checkpoint = util.Checkpoint(m=_LazyTrivialObjects())
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original_checkpoint.m()
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return original_checkpoint.write(os.path.join(test.get_temp_dir(), "ckpt"))
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class SavingBenchmarks(test.Benchmark):
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def _run(self, func, num_iters, execution_mode=None):
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func()
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start = time.time()
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for _ in range(num_iters):
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func()
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end = time.time()
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mean_us = (end - start) * 1e6 / num_iters
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self.report_benchmark(
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iters=num_iters,
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wall_time=mean_us,
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extras={"examples_per_sec": num_iters / (end - start)})
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def benchmark_baseline_no_restore(self):
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def _create_and_call():
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checkpoint = util.Checkpoint(m=_LazyTrivialObjects())
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checkpoint.m()
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self._run(_create_and_call, 3)
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def benchmark_batch_restore(self):
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checkpoint_path = _save_checkpoint()
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def _create_and_call():
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checkpoint = util.Checkpoint(m=_LazyTrivialObjects())
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checkpoint.m()
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checkpoint.restore(checkpoint_path)
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self._run(_create_and_call, 3)
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def benchmark_restore_on_create(self):
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checkpoint_path = _save_checkpoint()
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def _create_and_call():
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checkpoint = util.Checkpoint(m=_LazyTrivialObjects())
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checkpoint.restore(checkpoint_path)
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checkpoint.m()
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self._run(_create_and_call, 3)
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def benchmark_raw_restore(self):
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checkpoint_path = _save_checkpoint()
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all_names, all_dtypes = zip(*py_checkpoint_reader.NewCheckpointReader(
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checkpoint_path).get_variable_to_dtype_map().items())
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def _call_restore_v2():
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gen_io_ops.restore_v2(checkpoint_path, all_names, [""] * len(all_names),
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all_dtypes)
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self._run(_call_restore_v2, 3)
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if __name__ == "__main__":
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ops.enable_eager_execution()
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test.main()
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