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from caffe2.python import core, workspace
from caffe2.python.test_util import TestCase
import numpy as np
import unittest
class DoOpTest(TestCase):
def test_operator(self):
def make_net():
subnet = core.Net('subnet')
subnet.Add(["X", "Y"], "Z")
net = core.Net("net")
net.CreateScope([], "W")
net.Do(
["outer_X", "outer_Y", "W"],
["outer_Z", "W"],
net=subnet.Proto(),
inner_blobs=["X", "Y", "Z"],
outer_blobs_idx=[0, 1, 2],
)
return net
net = make_net()
workspace.ResetWorkspace()
workspace.FeedBlob("outer_X", np.asarray([1, 2]))
workspace.FeedBlob("outer_Y", np.asarray([3, 4]))
workspace.RunNetOnce(net)
outer_Z_val = workspace.FetchBlob("outer_Z")
self.assertTrue(np.all(outer_Z_val == np.asarray([4, 6])))
def test_reuse_workspace(self):
def make_net():
param_init_subnet = core.Net('param_init_subnet')
param_init_subnet.ConstantFill([], "X", shape=[1], value=1)
param_init_subnet.ConstantFill([], "Y", shape=[1], value=2)
subnet = core.Net("subnet")
subnet.Add(["X", "Y"], "Z")
net = core.Net("net")
net.CreateScope([], "W")
net.Do(
"W", "W",
net=param_init_subnet.Proto(),
inner_blobs=[],
outer_blobs_idx=[],
)
net.Do(
"W", ["outer_Z", "W"],
net=subnet.Proto(),
inner_blobs=["Z"],
outer_blobs_idx=[0],
reuse_workspace=True,
)
return net
net = make_net()
workspace.ResetWorkspace()
workspace.RunNetOnce(net)
outer_Z_val = workspace.FetchBlob("outer_Z")
self.assertTrue(np.all(outer_Z_val == np.asarray([3])))
if __name__ == '__main__':
unittest.main()
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