delete toy

examples/trials/toy/config.yml

-authorName: default
-experimentName: example_auto-gbdt
-trialConcurrency: 1
-maxExecDuration: 48h
-maxTrialNum: 100
-#choice: local, remote, pai
-trainingServicePlatform: local
-searchSpacePath: search_space.json
-#choice: true, false
-useAnnotation: false
-tuner:
-  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
-  #SMAC (SMAC should be installed through nnictl)
-  builtinTunerName: GPTuner
-  classArgs:
-    #choice: maximize, minimize
-    optimize_mode: minimize
-trial:
-  command: python3 main.py
-  codeDir: .
-  gpuNum: 0
\ No newline at end of file

examples/trials/toy/config_pai.yml

-authorName: default
-experimentName: example_toy
-trialConcurrency: 1
-maxExecDuration: 48h
-maxTrialNum: 100
-#choice: local, remote, pai
-trainingServicePlatform: local
-searchSpacePath: search_space.json
-#choice: true, false
-useAnnotation: false
-nniManagerIp: 10.172.136.93
-tuner:
-  #choice: TPE, Random, Anneal, Evolution, BatchTuner, MetisTuner, GPTuner
-  #SMAC (SMAC should be installed through nnictl)
-  builtinTunerName: GPTuner
-  classArgs:
-    #choice: maximize, minimize
-    optimize_mode: maximize
-trial:
-  command: python3 main.py
-  codeDir: .
-  gpuNum: 0
-  cpuNum: 1
-  memoryMB: 8196
-  #The docker image to run nni job on pai
-  image: msranni/nni:latest
-paiConfig:
-  #The username to login pai
-  userName: v_guosui
-  #The password to login pai
-  passWord: v_guosui123
-  #The host of restful server of pai
-  host: 10.151.40.179
\ No newline at end of file

examples/trials/toy/main.py

-# Copyright (c) Microsoft Corporation
-# All rights reserved.
-#
-# MIT License
-#
-# Permission is hereby granted, free of charge,
-# to any person obtaining a copy of this software and associated
-# documentation files (the "Software"),
-# to deal in the Software without restriction, including without limitation
-# the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and
-# to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING
-# BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
-# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-'''
-This project is for automatically tuning parameters for a toy function.
-y = np.exp(-(x - 2)**2) + np.exp(-(x - 6)**2/10) + 1/ (x**2 + 1)
-'''
-import logging
-import numpy as np
-import nni
-
-LOG = logging.getLogger('auto-toy')
-
-
-def target(x):
-    res = np.exp(-(x - 2)**2) + np.exp(-(x - 6)**2/10) + 1 / (x**2 + 1)
-    return -res
-
-
-def get_default_parameters():
-    '''
-    specify configurations as a dict
-    '''
-    params = {
-        'x': 0
-    }
-    return params
-
-
-def run(params):
-    # predict
-    y = target(params['x'])
-    nni.report_final_result(y)
-
-
-if __name__ == '__main__':
-    try:
-        # get parameters from tuner
-        RECEIVED_PARAMS = nni.get_next_parameter()
-        LOG.debug(RECEIVED_PARAMS)
-        PARAMS = get_default_parameters()
-        PARAMS.update(RECEIVED_PARAMS)
-        LOG.debug(PARAMS)
-
-        # train
-        run(PARAMS)
-    except Exception as exception:
-        LOG.exception(exception)
-        raise

examples/trials/toy/search_space.json

-{
-    "x":{"_type":"uniform","_value":[-2, 10]}
-}
\ No newline at end of file