fa3789e8fb8dafee87c3bd81365d71c3cebb1270,dlpy/tests/test_network.py,TestNetwork,test_submodel_multiple_inputs_network,#TestNetwork#,257

Before Change


        dense7 = Dense(n =190, name = "cat1")([dense3, dense6])
        model_dense = Model(self.s, inputs = [inputs1, inputs2], outputs = [dense7])

        dense7 = Dense(20, name = "d7", src_layers = [model_dense])
        output1 = OutputLayer(n=10, name="OutputLayer_1", src_layers=dense7)
        model = Model(self.s, inputs=[model_dense], outputs=output1)
        model.compile()
        model.print_summary()

After Change


        dense7 = Dense(n =190, name = "cat1")([dense3, dense6])
        model_dense = Model(self.s, inputs = [inputs1, inputs2], outputs = [dense7])

        input3 = Input(1, 53, 53, scale = 1.0 / 255, name = "InputLayer_3")
        input4 = Input(1, 53, 53, scale = 1.0 / 255, name = "InputLayer_4")

        out = model_dense([input3, input4])

        dense7 = Dense(20, name = "d7")(out)
        output1 = OutputLayer(n=10, name="OutputLayer_1")(dense7)
        model = Model(self.s, inputs=[input3, input4], outputs=output1)
        model.compile()
        model.print_summary()
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: sassoftware/python-dlpy
Commit Name: fa3789e8fb8dafee87c3bd81365d71c3cebb1270
Time: 2019-03-05
Author: 34170572+wenyushi@users.noreply.github.com
File Name: dlpy/tests/test_network.py
Class Name: TestNetwork
Method Name: test_submodel_multiple_inputs_network


Project Name: sassoftware/python-dlpy
Commit Name: fa3789e8fb8dafee87c3bd81365d71c3cebb1270
Time: 2019-03-05
Author: 34170572+wenyushi@users.noreply.github.com
File Name: dlpy/tests/test_network.py
Class Name: TestNetwork
Method Name: test_submodel_as_inputs_network


Project Name: sassoftware/python-dlpy
Commit Name: fa3789e8fb8dafee87c3bd81365d71c3cebb1270
Time: 2019-03-05
Author: 34170572+wenyushi@users.noreply.github.com
File Name: dlpy/tests/test_network.py
Class Name: TestNetwork
Method Name: test_submodel_as_input_network