pytorch/caffe2/python/observer_test.py
Bram Wasti 63caca89db expose observers to python
Summary: observer framework can now be used in python + a small writeup of how to use it

Reviewed By: salexspb

Differential Revision: D5905002

fbshipit-source-id: e40ec24a55e08fb73beea9b4f3b68e71fc66ffb1
2017-10-10 16:10:41 -07:00

34 lines
1.0 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import unittest
from caffe2.python import model_helper, brew
import caffe2.python.workspace as ws
class TestObservers(unittest.TestCase):
def setUp(self):
ws.ResetWorkspace()
self.model = model_helper.ModelHelper()
brew.fc(self.model, "data", "y",
dim_in=4, dim_out=2,
weight_init=('ConstantFill', dict(value=1.0)),
bias_init=('ConstantFill', dict(value=0.0)),
axis=0)
ws.FeedBlob("data", np.zeros([4], dtype='float32'))
ws.RunNetOnce(self.model.param_init_net)
ws.CreateNet(self.model.net)
def testObserver(self):
num_observers = self.model.net.AddObserver("TimeObserver")
index = num_observers - 1
ws.RunNet(self.model.net)
ob = self.model.net.GetObserver(index)
print(ob.average_time())