Beispiel #1
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 def create_client_graph():
     inputs = [Input((1, ), "int32")]
     x = inputs[0]
     x = TcpServerSubgraph(
         addr=("localhost", 5678),
         graph=create_server_graph(),
     )(x)
     outputs = [x]
     return Model(inputs=inputs, outputs=outputs)
Beispiel #2
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 async def _receive_model(self):
     line = await self._reader.readline()
     self._graph = Model.deserialize(line.decode())
Beispiel #3
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 def create_server_graph():
     inputs = [Input((1, ), "int")]
     outputs = inputs
     return Model(inputs=inputs, outputs=outputs)
Beispiel #4
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 def create_client_graph():
     inputs = [Input((1, ), "int")]
     x = inputs[0]
     x = IntraprocessServer(graph=create_server_graph())(x)
     outputs = [x]
     return Model(inputs=inputs, outputs=outputs)
Beispiel #5
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 def create_graph():
     inputs = [Input((1, ), "int")]
     x = inputs[0]
     x = Stringify((1, ), "str")(x)
     outputs = [x]
     return Model(inputs=inputs, outputs=outputs)
Beispiel #6
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 def create_server_graph():
     inputs = [Input((1, ), "int32")]
     outputs = [Square(shape=(1, ), dtype="int32")(inputs[0])]
     return Model(inputs=inputs, outputs=outputs)
Beispiel #7
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 def create_client_graph():
     inputs = [Input((1, ), "int32")]
     x = inputs[0]
     x = IntraprocessStreamingLoopbackServer((1, ), "int32")(x)
     outputs = [x]
     return Model(inputs=inputs, outputs=outputs)