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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/14 22:54:25 UTC

[GitHub] szha commented on a change in pull request #11948: [MXNET-766] add unroll RNN for HybridBlock

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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