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How to make a placeholder with changed batches for the dnc state? thanks #42

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hecong97 opened this issue Sep 25, 2019 · 0 comments

hecong97 commented Sep 25, 2019 •

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I wonder to know how can I create placeholders like dnc_core.initial_state(batch_size=n) with the batch_size n changed in trainning.

dnc_core = dnc.DNC(...)
initial_core_state = dnc_core.initial_state(batch_size=1)
core_state_placeholders = snt.nest.map(lambda t: tf.placeholder(t.dtype, shape=t.shape),
initial_core_state)

When I create the graph,the shape of initial_state seems be fixed with the batch_size .

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