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d1b920b44f
Summary: keep net type info when generating model complete net. This will keep the performance optimization option Pull Request resolved: https://github.com/pytorch/pytorch/pull/11032 Reviewed By: wat3rBro Differential Revision: D9564125 Pulled By: harouwu fbshipit-source-id: c6546af9b1d4ff5eddf6124e24a5da1b8baf47df
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
"""unittest for ModelHelper class"""
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from __future__ import absolute_import, division, print_function
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import unittest
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from caffe2.python import brew, model_helper
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class ModelHelperTest(unittest.TestCase):
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def test_get_complete_net_type(self):
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model = model_helper.ModelHelper("test_orig")
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brew.conv(
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model,
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"input",
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"conv",
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dim_in=3,
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dim_out=16,
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weight_init=("MSRAFill", {}),
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kernel=3,
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stride=1,
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pad=0,
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)
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model.net.Proto().type = "async_scheduling"
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net = model.GetCompleteNet()
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model2 = model_helper.ModelHelper("test_new")
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model2.ConstructInitTrainNetfromNet(net)
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self.assertTrue(model2.net.Proto().type, "async_scheduling")
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self.assertTrue(model2.param_init_net.Proto().type, "async_scheduling")
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def test_get_complete_net(self):
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model = model_helper.ModelHelper("test_orig")
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conv = brew.conv(
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model,
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"input",
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"conv",
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dim_in=3,
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dim_out=16,
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weight_init=("MSRAFill", {}),
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kernel=3,
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stride=1,
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pad=0,
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)
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conv = brew.spatial_bn(model, conv, "conv_bn", 16, epsilon=1e-3, is_test=False)
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conv = brew.relu(model, conv, "conv_relu")
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pred = brew.fc(model, conv, "pred", dim_in=16 * 3 * 3, dim_out=10)
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brew.softmax(model, pred, "softmax")
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net = model.GetCompleteNet()
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model2 = model_helper.ModelHelper("test_new")
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model2.ConstructInitTrainNetfromNet(net)
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net = model.param_init_net
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net2 = model2.param_init_net
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for op1, op2 in zip(net.Proto().op, net2.Proto().op):
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op1.debug_info = op1.debug_info + "/param_init_net"
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self.assertEqual(
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op1, op2, "op mismatch between {}\n and {}\n".format(op1, op2)
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)
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net = model.net
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net2 = model2.net
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for op1, op2 in zip(net.Proto().op, net2.Proto().op):
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self.assertEqual(
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op1, op2, "op mismatch between {}\n and {}\n".format(op1, op2)
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)
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# this is not guaranteed in other situations where user define own net
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self.assertEqual(
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sorted(map(str, net.external_inputs)),
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sorted(map(str, net2.external_inputs)),
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)
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