szha commented on a change in pull request #11948: [MXNET-766] add unroll RNN
for HybridBlock
URL: https://github.com/apache/incubator-mxnet/pull/11948#discussion_r257046723
##########
File path: python/mxnet/gluon/contrib/rnn/rnn_cell.py
##########
@@ -315,3 +317,136 @@ def hybrid_forward(self, F, inputs, states, i2h_weight,
return next_r, [next_r, next_c]
# pylint: enable= arguments-differ
+
+
+def _contrib_format_sequence(inputs, layout, in_layout=None):
+ assert inputs is not None, \
+ "unroll(inputs=None) has been deprecated. " \
+ "Please create input variables outside unroll."
+
+ axis = layout.find('T')
+ batch_axis = layout.find('N')
+ batch_size = 0
+ in_axis = in_layout.find('T') if in_layout is not None else axis
+ assert isinstance(inputs, tensor_types)
+ if isinstance(inputs, symbol.Symbol):
+ F = symbol
+ else:
+ F = ndarray
+ batch_size = inputs.shape[batch_axis]
+
+ if axis != in_axis:
+ inputs = F.swapaxes(inputs, dim1=axis, dim2=in_axis)
+
+ return inputs, axis, F, batch_size
+
+
+def unroll(cell, inputs, begin_state, drop_inputs=0, drop_outputs=0,
+ layout='TNC', valid_length=None):
Review comment:
suggest renaming
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