I want to know sparse_float_vector_sequence different
Created by: veridone
I read this page but i want to know the different of [[(1,2),(3,4),(5,6)]] and [[(1,2)],[(3,4)],[(5,6)]] in sparse_float_vector_sequence
in the example this page
self.lr_merged_input = layer.data( name='lr_input', type=paddle.data_type.sparse_float_vector(self.lr_input_dim))
this can be used in
fc = layer.fc( input=self.lr_merged_input, size=1, act=paddle.activation.Relu())
but i use in paddle.networks.sequence_conv_pool
will cause core
is there any other networks the sparse_float_vector
can be used, or give a example
thanks