| """unittest for ModelHelper class""" |
| |
| |
| |
| import unittest |
| |
| from caffe2.python import brew, model_helper |
| |
| |
| class ModelHelperTest(unittest.TestCase): |
| def test_get_complete_net_type(self): |
| model = model_helper.ModelHelper("test_orig") |
| brew.conv( |
| model, |
| "input", |
| "conv", |
| dim_in=3, |
| dim_out=16, |
| weight_init=("MSRAFill", {}), |
| kernel=3, |
| stride=1, |
| pad=0, |
| ) |
| model.net.Proto().type = "async_scheduling" |
| net = model.GetCompleteNet() |
| model2 = model_helper.ModelHelper("test_new") |
| model2.ConstructInitTrainNetfromNet(net) |
| self.assertTrue(model2.net.Proto().type, "async_scheduling") |
| self.assertTrue(model2.param_init_net.Proto().type, "async_scheduling") |
| |
| def test_get_complete_net(self): |
| model = model_helper.ModelHelper("test_orig") |
| conv = brew.conv( |
| model, |
| "input", |
| "conv", |
| dim_in=3, |
| dim_out=16, |
| weight_init=("MSRAFill", {}), |
| kernel=3, |
| stride=1, |
| pad=0, |
| ) |
| conv = brew.spatial_bn(model, conv, "conv_bn", 16, epsilon=1e-3, is_test=False) |
| conv = brew.relu(model, conv, "conv_relu") |
| pred = brew.fc(model, conv, "pred", dim_in=16 * 3 * 3, dim_out=10) |
| brew.softmax(model, pred, "softmax") |
| net = model.GetCompleteNet() |
| model2 = model_helper.ModelHelper("test_new") |
| model2.ConstructInitTrainNetfromNet(net) |
| |
| net = model.param_init_net |
| net2 = model2.param_init_net |
| for op1, op2 in zip(net.Proto().op, net2.Proto().op): |
| op1.debug_info = op1.debug_info + "/param_init_net" |
| self.assertEqual( |
| op1, op2, "op mismatch between {}\n and {}\n".format(op1, op2) |
| ) |
| net = model.net |
| net2 = model2.net |
| for op1, op2 in zip(net.Proto().op, net2.Proto().op): |
| self.assertEqual( |
| op1, op2, "op mismatch between {}\n and {}\n".format(op1, op2) |
| ) |
| # this is not guaranteed in other situations where user define own net |
| self.assertEqual( |
| sorted(map(str, net.external_inputs)), |
| sorted(map(str, net2.external_inputs)), |
| ) |
