Merge pull request #141 from Microsoft/master

merge master

Makefile

@@ -168,18 +168,13 @@ install-dependencies: $(NNI_NODE_TARBALL) $(NNI_YARN_TARBALL)
 .PHONY: install-python-modules
 install-python-modules:
 	#$(_INFO) Installing Python SDK $(_END)
-	cd src/sdk/pynni && sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) .
-	
-	#$(_INFO) Installing nnictl $(_END)
-	cd tools && sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) .
+	sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) .
 
 .PHONY: dev-install-python-modules
 dev-install-python-modules:
 	#$(_INFO) Installing Python SDK $(_END)
-	cd src/sdk/pynni && sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) -e .
+	sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) .
 
-	#$(_INFO) Installing nnictl $(_END)
-	cd tools && sed -ie 's/$(NNI_VERSION_TEMPLATE)/$(NNI_VERSION_VALUE)/' setup.py && $(PIP_INSTALL) $(PIP_MODE) -e .
 
 .PHONY: install-node-modules
 install-node-modules:

azure-pipelines.yml

-trigger:
-- master
-- dev-remote-ci
-
 jobs:
-- job: 'Ubuntu_16_04'
-  pool: 'NNI CI GPU'
+- job: 'basic_test_pr_ubuntu'
+  pool:
+    vmImage: 'Ubuntu 16.04'
+  strategy:
+    matrix:
+      Python36:
+        PYTHON_VERSION: '3.6'
 
   steps:
   - script: python3 -m pip install --upgrade pip setuptools --user
@@ -12,15 +13,6 @@ jobs:
   - script: |
       source install.sh
     displayName: 'Install nni toolkit via source code'
-  - script: |
-      python3 -m pip install scikit-learn==0.20.0 --user
-      python3 -m pip install torch==0.4.1 --user
-      python3 -m pip install torchvision==0.2.1 --user
-      python3 -m pip install keras==2.1.6 --user
-      python3 -m pip install tensorflow-gpu==1.10.0 --user
-      sudo apt-get install swig -y
-      nnictl package install --name=SMAC
-    displayName: 'Install dependencies for integration tests'
   - script: |
       cd test
       source unittest.sh
@@ -33,16 +25,12 @@ jobs:
       cd test
       PATH=$HOME/.local/bin:$PATH python3 tuner_test.py
     displayName: 'Built-in tuners / assessors tests'
-  - script: |
-      cd test
-      PATH=$HOME/.local/bin:$PATH python3 config_test.py --ts local --local_gpu
-    displayName: 'Examples and advanced features tests on local machine'
   - script: |
       cd test
       PATH=$HOME/.local/bin:$PATH python3 metrics_test.py
     displayName: 'Trial job metrics test'
 
-- job: 'macOS_10_13'
+- job: 'basic_test_pr_macOS'
   pool:
     vmImage: 'macOS 10.13'
   strategy:

setup.py

@@ -68,5 +68,10 @@ setup(
 
     cmdclass={
         'install': CustomInstallCommand
+    },
+    entry_points = {
+        'console_scripts' : [
+            'nnictl = nni_cmd.nnictl:parse_args'
+        ]
     }
 )

src/nni_manager/common/log.ts

@@ -137,7 +137,7 @@ class Logger {
 
     private log(level: string, param: any[]): void {
         const buffer: WritableStreamBuffer = new WritableStreamBuffer();
-        buffer.write(`[${(new Date()).toISOString()}] ${level} `);
+        buffer.write(`[${(new Date()).toLocaleString()}] ${level} `);
         buffer.write(format(param));
         buffer.write('\n');
         buffer.end();

src/sdk/pynni/nni/common.py

@@ -25,6 +25,7 @@ from io import TextIOBase
 import logging
 import os
 import sys
+import time
 
 
 def _load_env_args():
@@ -40,7 +41,7 @@ env_args = _load_env_args()
 '''Arguments passed from environment'''
 
 
-_time_format = '%Y-%m-%d %H:%M:%S'
+_time_format = '%m/%d/%Y, %I:%M:%S %P'
 class _LoggerFileWrapper(TextIOBase):
     def __init__(self, logger_file):
         self.file = logger_file
@@ -64,8 +65,8 @@ def init_logger(logger_file_path):
         logger_file_path = os.path.join(env_args.log_dir, logger_file_path)
     logger_file = open(logger_file_path, 'w')
     fmt = '[%(asctime)s] %(levelname)s (%(name)s/%(threadName)s) %(message)s'
+    logging.Formatter.converter = time.localtime
     formatter = logging.Formatter(fmt, _time_format)
-
     handler = logging.StreamHandler(logger_file)
     handler.setFormatter(formatter)
 

src/sdk/pynni/nni/hyperband_advisor/hyperband_advisor.py

@@ -38,6 +38,7 @@ _logger = logging.getLogger(__name__)
 
 _next_parameter_id = 0
 _KEY = 'STEPS'
+_epsilon = 1e-6
 
 @unique
 class OptimizeMode(Enum):
@@ -141,8 +142,8 @@ class Bracket():
         self.bracket_id = s
         self.s_max = s_max
         self.eta = eta
-        self.n = math.ceil((s_max + 1) * (eta**s) / (s + 1)) # pylint: disable=invalid-name
-        self.r = math.ceil(R / eta**s)                       # pylint: disable=invalid-name
+        self.n = math.ceil((s_max + 1) * (eta**s) / (s + 1) - _epsilon) # pylint: disable=invalid-name
+        self.r = math.ceil(R / eta**s - _epsilon)                       # pylint: disable=invalid-name
         self.i = 0
         self.hyper_configs = []         # [ {id: params}, {}, ... ]
         self.configs_perf = []          # [ {id: [seq, acc]}, {}, ... ]
@@ -157,7 +158,7 @@ class Bracket():
 
     def get_n_r(self):
         """return the values of n and r for the next round"""
-        return math.floor(self.n / self.eta**self.i), self.r * self.eta**self.i
+        return math.floor(self.n / self.eta**self.i + _epsilon), self.r * self.eta**self.i
 
     def increase_i(self):
         """i means the ith round. Increase i by 1"""
@@ -305,7 +306,7 @@ class Hyperband(MsgDispatcherBase):
         self.brackets = dict()            # dict of Bracket
         self.generated_hyper_configs = [] # all the configs waiting for run
         self.completed_hyper_configs = [] # all the completed configs
-        self.s_max = math.floor(math.log(self.R, self.eta))
+        self.s_max = math.floor(math.log(self.R, self.eta) + _epsilon)
         self.curr_s = self.s_max
 
         self.searchspace_json = None

test/pipelines-it-local.yml

+jobs:
+- job: 'integration_test_local_ubuntu'
+
+  steps:
+  - script: python3 -m pip install --upgrade pip setuptools --user
+    displayName: 'Install python tools'
+  - script: |
+      source install.sh
+    displayName: 'Install nni toolkit via source code'
+  - script: |
+      python3 -m pip install scikit-learn==0.20.0 --user
+      python3 -m pip install torch==0.4.1 --user
+      python3 -m pip install torchvision==0.2.1 --user
+      python3 -m pip install keras==2.1.6 --user
+      python3 -m pip install tensorflow-gpu==1.10.0 --user
+      sudo apt-get install swig -y
+      nnictl package install --name=SMAC
+    displayName: 'Install dependencies for integration tests'
+  - script: |
+      cd test
+      source unittest.sh
+    displayName: 'Unit test'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 naive_test.py
+    displayName: 'Naive test'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 tuner_test.py
+    displayName: 'Built-in tuners / assessors tests'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 config_test.py --ts local --local_gpu
+    displayName: 'Examples and advanced features tests on local machine'
+  - script: |
+      cd test
+      PATH=$HOME/.local/bin:$PATH python3 metrics_test.py
+    displayName: 'Trial job metrics test'

test/unittest.sh

 #!/bin/bash
+set -e
 CWD=${PWD}
 
 # -------------For python unittest-------------