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How to use ps method in fMBT

Best Python code snippet using fMBT_python

device_setter.py

Source:device_setter.py

1# Copyright 2015 The TensorFlow Authors. All Rights Reserved.2#3# Licensed under the Apache License, Version 2.0 (the "License");4# you may not use this file except in compliance with the License.5# You may obtain a copy of the License at6#7#     http://www.apache.org/licenses/LICENSE-2.08#9# Unless required by applicable law or agreed to in writing, software10# distributed under the License is distributed on an "AS IS" BASIS,11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.12# See the License for the specific language governing permissions and13# limitations under the License.14# ==============================================================================15"""Device function for replicated training."""16from __future__ import absolute_import17from __future__ import division18from __future__ import print_function19import six20from tensorflow.core.framework import node_def_pb221from tensorflow.python.framework import device as pydev22from tensorflow.python.platform import tf_logging as logging23from tensorflow.python.training import server_lib24from tensorflow.python.util.tf_export import tf_export25# This is a tuple of PS ops used by tf.estimator.Estimator which should work in26# almost all of cases.27STANDARD_PS_OPS = ("Variable", "VariableV2", "AutoReloadVariable",28                   "MutableHashTable", "MutableHashTableV2",29                   "MutableHashTableOfTensors", "MutableHashTableOfTensorsV2",30                   "MutableDenseHashTable", "MutableDenseHashTableV2",31                   "VarHandleOp", "BoostedTreesEnsembleResourceHandleOp")32class _RoundRobinStrategy(object):33  """Returns the next ps task index for placement in round-robin order.34  This class is not to be used directly by users.  See instead35  `replica_device_setter()` below.36  """37  def __init__(self, num_tasks):38    """Create a new `_RoundRobinStrategy`.39    Args:40      num_tasks: Number of ps tasks to cycle among.41    """42    self._num_tasks = num_tasks43    self._next_task = 044  def __call__(self, unused_op):45    """Choose a ps task index for the given `Operation`.46    Args:47      unused_op: An `Operation` to be placed on ps.48    Returns:49      The next ps task index to use for the `Operation`. Returns the next50      index, in the range `[offset, offset + num_tasks)`.51    """52    task = self._next_task53    self._next_task = (self._next_task + 1) % self._num_tasks54    return task55class _ReplicaDeviceChooser(object):56  """Class to choose devices for Ops in a replicated training setup.57  This class is not to be used directly by users.  See instead58  `replica_device_setter()` below.59  """60  def __init__(self, ps_tasks, ps_device, worker_device, merge_devices, ps_ops,61               ps_strategy):62    """Create a new `_ReplicaDeviceChooser`.63    Args:64      ps_tasks: Number of tasks in the `ps` job.65      ps_device: String.  Name of the `ps` job.66      worker_device: String.  Name of the `worker` job.67      merge_devices: Boolean. Set to True to allow merging of device specs.68      ps_ops: List of strings representing `Operation` types that need to be69        placed on `ps` devices.70      ps_strategy: A callable invoked for every ps `Operation` (i.e. matched by71        `ps_ops`), that takes the `Operation` and returns the ps task index to72        use.73    """74    self._ps_tasks = ps_tasks75    self._ps_device = ps_device76    self._worker_device = worker_device77    self._merge_devices = merge_devices78    self._ps_ops = ps_ops79    self._ps_strategy = ps_strategy80  def device_function(self, op):81    """Choose a device for `op`.82    Args:83      op: an `Operation`.84    Returns:85      The device to use for the `Operation`.86    """87    # If we don't return early here, either merge_devices is True, or op.device88    # is empty (in which case merging is a no-op). So we can always merge below.89    if not self._merge_devices and op.device:90      return op.device91    current_device = pydev.DeviceSpec.from_string(op.device or "")92    # The ps_device will be used for specified ops (ps_ops) whenever it is93    # present and ps_tasks is non-zero. However, its task number will only be94    # set (using ps_strategy) if there is a job field in ps_device that won't be95    # changed by the job field (if present) in current_device.96    node_def = op if isinstance(op, node_def_pb2.NodeDef) else op.node_def97    if self._ps_tasks and self._ps_device and node_def.op in self._ps_ops:98      ps_device = pydev.DeviceSpec.from_string(self._ps_device)99      current_job, ps_job = current_device.job, ps_device.job100      if ps_job and (not current_job or current_job == ps_job):101        ps_device.task = self._ps_strategy(op)102      ps_device.merge_from(current_device)103      return ps_device.to_string()104    worker_device = pydev.DeviceSpec.from_string(self._worker_device or "")105    worker_device.merge_from(current_device)106    return worker_device.to_string()107@tf_export("train.replica_device_setter")108def replica_device_setter(ps_tasks=0, ps_device="/job:ps",109                          worker_device="/job:worker", merge_devices=True,110                          cluster=None, ps_ops=None, ps_strategy=None):111  """Return a `device function` to use when building a Graph for replicas.112  Device Functions are used in `with tf.device(device_function):` statement to113  automatically assign devices to `Operation` objects as they are constructed,114  Device constraints are added from the inner-most context first, working115  outwards. The merging behavior adds constraints to fields that are yet unset116  by a more inner context. Currently the fields are (job, task, cpu/gpu).117  If `cluster` is `None`, and `ps_tasks` is 0, the returned function is a no-op.118  Otherwise, the value of `ps_tasks` is derived from `cluster`.119  By default, only Variable ops are placed on ps tasks, and the placement120  strategy is round-robin over all ps tasks. A custom `ps_strategy` may be used121  to do more intelligent placement, such as122  `tf.contrib.training.GreedyLoadBalancingStrategy`.123  For example,124  ```python125  # To build a cluster with two ps jobs on hosts ps0 and ps1, and 3 worker126  # jobs on hosts worker0, worker1 and worker2.127  cluster_spec = {128      "ps": ["ps0:2222", "ps1:2222"],129      "worker": ["worker0:2222", "worker1:2222", "worker2:2222"]}130  with tf.device(tf.train.replica_device_setter(cluster=cluster_spec)):131    # Build your graph132    v1 = tf.Variable(...)  # assigned to /job:ps/task:0133    v2 = tf.Variable(...)  # assigned to /job:ps/task:1134    v3 = tf.Variable(...)  # assigned to /job:ps/task:0135  # Run compute136  ```137  Args:138    ps_tasks: Number of tasks in the `ps` job.  Ignored if `cluster` is139      provided.140    ps_device: String.  Device of the `ps` job.  If empty no `ps` job is used.141      Defaults to `ps`.142    worker_device: String.  Device of the `worker` job.  If empty no `worker`143      job is used.144    merge_devices: `Boolean`. If `True`, merges or only sets a device if the145      device constraint is completely unset. merges device specification rather146      than overriding them.147    cluster: `ClusterDef` proto or `ClusterSpec`.148    ps_ops: List of strings representing `Operation` types that need to be149      placed on `ps` devices.  If `None`, defaults to `STANDARD_PS_OPS`.150    ps_strategy: A callable invoked for every ps `Operation` (i.e. matched by151      `ps_ops`), that takes the `Operation` and returns the ps task index to152      use.  If `None`, defaults to a round-robin strategy across all `ps`153      devices.154  Returns:155    A function to pass to `tf.device()`.156  Raises:157    TypeError if `cluster` is not a dictionary or `ClusterDef` protocol buffer,158    or if `ps_strategy` is provided but not a callable.159  """160  if cluster is not None:161    if isinstance(cluster, server_lib.ClusterSpec):162      cluster_spec = cluster.as_dict()163    else:164      cluster_spec = server_lib.ClusterSpec(cluster).as_dict()165    # Get ps_job_name from ps_device by stripping "/job:".166    ps_job_name = pydev.DeviceSpec.from_string(ps_device).job167    if ps_job_name not in cluster_spec or cluster_spec[ps_job_name] is None:168      return None169    ps_tasks = len(cluster_spec[ps_job_name])170  if ps_tasks == 0:171    return None172  if ps_ops is None:173    # TODO(sherrym): Variables in the LOCAL_VARIABLES collection should not be174    # placed in the parameter server.175    ps_ops = list(STANDARD_PS_OPS)176  if not merge_devices:177    logging.warning(178        "DEPRECATION: It is recommended to set merge_devices=true in "179        "replica_device_setter")180  if ps_strategy is None:181    ps_strategy = _RoundRobinStrategy(ps_tasks)182  if not six.callable(ps_strategy):183    raise TypeError("ps_strategy must be callable")184  chooser = _ReplicaDeviceChooser(185      ps_tasks, ps_device, worker_device, merge_devices, ps_ops, ps_strategy)...

config.py

Source:config.py

1#!/usr/bin/env python2# -*- coding: utf-8 -*-3"""4@Author  : Ryan Fan 5@E-Mail  : ryanfan0528@gmail.com6@Version : v1.07"""8import os9import time10import sys11import re12import datetime13import pandas as pd 14import numpy as np15TRAIN_FILE = "data/train.csv"16TEST_FILE = "data/test.csv"17SUB_DIR = "output"18NUM_SPLITS = 319RANDOM_SEED = 201720# types of columns of the dataset dataframe21CATEGORICAL_COLS = [22    'ps_ind_02_cat', 'ps_ind_04_cat', 'ps_ind_05_cat',23    'ps_car_01_cat', 'ps_car_02_cat', 'ps_car_03_cat',24    'ps_car_04_cat', 'ps_car_05_cat', 'ps_car_06_cat',25    'ps_car_07_cat', 'ps_car_08_cat', 'ps_car_09_cat',26    'ps_car_10_cat', 'ps_car_11_cat',27]28NUMERIC_COLS = [29    # # binary30    # "ps_ind_06_bin", "ps_ind_07_bin", "ps_ind_08_bin",31    # "ps_ind_09_bin", "ps_ind_10_bin", "ps_ind_11_bin",32    # "ps_ind_12_bin", "ps_ind_13_bin", "ps_ind_16_bin",33    # "ps_ind_17_bin", "ps_ind_18_bin",34    # "ps_calc_15_bin", "ps_calc_16_bin", "ps_calc_17_bin",35    # "ps_calc_18_bin", "ps_calc_19_bin", "ps_calc_20_bin",36    # numeric37    "ps_reg_01", "ps_reg_02", "ps_reg_03",38    "ps_car_12", "ps_car_13", "ps_car_14", "ps_car_15",39    # feature engineering40    "missing_feat", "ps_car_13_x_ps_reg_03",41]42IGNORE_COLS = [43    "id", "target",44    "ps_calc_01", "ps_calc_02", "ps_calc_03", "ps_calc_04",45    "ps_calc_05", "ps_calc_06", "ps_calc_07", "ps_calc_08",46    "ps_calc_09", "ps_calc_10", "ps_calc_11", "ps_calc_12",47    "ps_calc_13", "ps_calc_14",48    "ps_calc_15_bin", "ps_calc_16_bin", "ps_calc_17_bin",49    "ps_calc_18_bin", "ps_calc_19_bin", "ps_calc_20_bin"...

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