EVOLUTION-MANAGER

Edit File: profiling.py

# Copyright 2017 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.
# ==============================================================================
"""Data structures and algorithms for profiling information."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os

class ProfileDatum(object):
  """Profile data point."""

def __init__(self,
               device_name,
               node_exec_stats,
               file_path,
               line_number,
               func_name,
               op_type):
    """Constructor.

Args:
      device_name: (string) name of the device.
      node_exec_stats: `NodeExecStats` proto.
      file_path: path to the source file involved in creating the op.
      line_number: line number in the file involved in creating the op.
      func_name: name of the function that the line belongs to.
      op_type: (string) Operation type.
    """
    self.device_name = device_name
    self.node_exec_stats = node_exec_stats
    self.file_path = file_path
    self.line_number = line_number
    self.func_name = func_name
    if self.file_path:
      self.file_line_func = "%s:%d(%s)" % (
          os.path.basename(self.file_path), self.line_number, self.func_name)
    else:
      self.file_line_func = ""
    self.op_type = op_type
    self.start_time = self.node_exec_stats.all_start_micros
    self.op_time = (self.node_exec_stats.op_end_rel_micros -
                    self.node_exec_stats.op_start_rel_micros)

@property
  def exec_time(self):
    """Op execution time plus pre- and post-processing."""
    return self.node_exec_stats.all_end_rel_micros

class AggregateProfile(object):
  """Profile summary data for aggregating a number of ProfileDatum."""

def __init__(self, profile_datum):
    """Constructor.

Args:
      profile_datum: (`ProfileDatum`) an instance of `ProfileDatum` to
        initialize this object with.
    """

self.total_op_time = profile_datum.op_time
    self.total_exec_time = profile_datum.exec_time
    device_and_node = "%s:%s" % (profile_datum.device_name,
                                 profile_datum.node_exec_stats.node_name)
    self._node_to_exec_count = {device_and_node: 1}

def add(self, profile_datum):
    """Accumulate a new instance of ProfileDatum.

Args:
      profile_datum: (`ProfileDatum`) an instance of `ProfileDatum` to
        accumulate to this object.
    """

self.total_op_time += profile_datum.op_time
    self.total_exec_time += profile_datum.exec_time
    device_and_node = "%s:%s" % (profile_datum.device_name,
                                 profile_datum.node_exec_stats.node_name)

device_and_node = "%s:%s" % (profile_datum.device_name,
                                 profile_datum.node_exec_stats.node_name)
    if device_and_node in self._node_to_exec_count:
      self._node_to_exec_count[device_and_node] += 1
    else:
      self._node_to_exec_count[device_and_node] = 1

@property
  def node_count(self):
    return len(self._node_to_exec_count)

@property
  def node_exec_count(self):
    return sum(self._node_to_exec_count.values())