Import benchmark-tools to main repository.

This has adapted for use with bazel from the original commit
a26e93769ebefd82593a43e22fb13a09717cfa6d.

In particular, the style has been made consistent with internal python style
guidelines, and the packages (including the main entrypoint) have been
refactored in order to allow bazel testing targets.

PiperOrigin-RevId: 283484433

1 files changed, 85 insertions, 0 deletions

diff --git a/benchmarks/harness/benchmark_driver.py b/benchmarks/harness/benchmark_driver.py
new file mode 100644
index 000000000..9abc21b54
--- /dev/null
+++ b/benchmarks/harness/benchmark_driver.py
@@ -0,0 +1,85 @@
+# python3
+# Copyright 2019 Google LLC
+#
+# 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.
+"""Main driver for benchmarks."""
+
+import copy
+import statistics
+import threading
+import types
+
+from benchmarks import suites
+from benchmarks.harness.machine_producers import machine_producer
+
+
+# pylint: disable=too-many-instance-attributes
+class BenchmarkDriver:
+  """Allocates machines and invokes a benchmark method."""
+
+  def __init__(self,
+               producer: machine_producer.MachineProducer,
+               method: types.FunctionType,
+               runs: int = 1,
+               **kwargs):
+
+    self._producer = producer
+    self._method = method
+    self._kwargs = copy.deepcopy(kwargs)
+    self._threads = []
+    self.lock = threading.RLock()
+    self._runs = runs
+    self._metric_results = {}
+
+  def start(self):
+    """Starts a benchmark thread."""
+    for _ in range(self._runs):
+      thread = threading.Thread(target=self._run_method)
+      thread.start()
+      self._threads.append(thread)
+
+  def join(self):
+    """Joins the thread."""
+    # pylint: disable=expression-not-assigned
+    [t.join() for t in self._threads]
+
+  def _run_method(self):
+    """Runs all benchmarks."""
+    machines = self._producer.get_machines(
+        suites.benchmark_machines(self._method))
+    try:
+      result = self._method(*machines, **self._kwargs)
+      for name, res in result:
+        with self.lock:
+          if name in self._metric_results:
+            self._metric_results[name].append(res)
+          else:
+            self._metric_results[name] = [res]
+    finally:
+      # Always release.
+      self._producer.release_machines(machines)
+
+  def median(self):
+    """Returns the median result, after join is finished."""
+    for key, value in self._metric_results.items():
+      yield key, [statistics.median(value)]
+
+  def all(self):
+    """Returns all results."""
+    for key, value in self._metric_results.items():
+      yield key, value
+
+  def meanstd(self):
+    """Returns all results."""
+    for key, value in self._metric_results.items():
+      mean = statistics.mean(value)
+      yield key, [mean, statistics.stdev(value, xbar=mean)]