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Thanks and a question about init the hypercell
Thanks for you code and the design of Hypercell is amazing! I have a question about the initialization of the cell.
self.cell= supercell.HyperLSTMCell(num_units=args.state_size.....)
output, self.last_state = tf.nn.dynamic_rnn(self.cell, self.X, initial_state=??? )
While I use the basic LSTMcell, the tf has a method to init the cell into zero state.
However the zero init perform not very good, do you have any idea of a better way to init the Hypercell?
Thanks a lot again!
Hi Albert
I'm in the middle of cleaning this code base up
Let me take a look and get back to you maybe in the next week or two
Thanks
On Sun, Apr 30, 2017 at 8:37 AM AlbertDu [email protected] wrote:
Thanks for you code and the design of Hypercell is amazing! I have a question about the initialization of the cell.
self.cell= supercell.HyperLSTMCell(num_units=args.state_size.....) output, self.last_state = tf.nn.dynamic_rnn(self.cell, self.X, initial_state=??? )
While I use the basic LSTMcell, the tf has a method to init the cell into zero state.
However the zero init perform not very good, do you have any idea of a better way to init the Hypercell?
Thanks a lot again!
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ok,
Thanks again for you reply.
Best wishes and looking forward to your new version of HyperCell
Btw, have you played with using any alternative methods? If you have any suggestions as to which method is faster your current usecases, I'll incorporate them in for the next code release.
On Mon, May 1, 2017 at 6:00 AM AlbertDu [email protected] wrote:
ok,
Thanks again for you reply.
Best wishes and looking forward to your new version of HyperCell
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Sorry, after I transplant the
cell.zero_state
from the BasicLSTMcell,
I still could not run the "supercell.py" like this(but if i change the HyperLSTM to LSTM, it works well)
self.cell= supercell.HyperLSTMCell(num_units=args.state_size.....)
output, self.last_state = tf.nn.dynamic_rnn(self.cell, self.X, initial_state=??? )
do you have any simple case to import supercell
which could run without ERROR?