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Distributed TensorFlow basics and examples of training algorithms

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Hello, why can't the optimizer's learning rate use placeholders in distributed code?

In the Synchronous-SGD, I run the ssgd.py and the wrong is happened. tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef missing attr 'reduction_type' from Op handle:Ref(string); attr=dtype:type,allowed=[DT_FLOAT, DT_DOUBLE, DT_INT32, DT_UINT8, DT_INT16, ..., DT_UINT16, DT_COMPLEX128, DT_HALF, DT_UINT32,...