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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/02/15 04:25:36 UTC

[GitHub] ptrendx commented on a change in pull request #14153: Fix shape inference pass

ptrendx commented on a change in pull request #14153: Fix shape inference pass
URL: https://github.com/apache/incubator-mxnet/pull/14153#discussion_r257101056
 
 

 ##########
 File path: src/executor/infer_graph_attr_pass.cc
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 @@ -282,26 +285,28 @@ nnvm::Graph InferAttr(nnvm::Graph &&ret,
   };
 
   size_t last_num_unknown;
-  size_t num_unknown_dispatch_mode = dispatch_mode_name ? node_end - node_start : 0;
-  size_t num_unknown_entry_attr = entry_end - entry_start;
-  size_t num_unknown = num_unknown_entry_attr + num_unknown_dispatch_mode;
+  size_t num_unknown = static_cast<size_t>(-1);  // Infinity
+
+  if (scalars_only) {
+    size_t num_unknown_dispatch_mode = dispatch_mode_name ? node_end - node_start : 0;
+    size_t num_unknown_entry_attr = entry_end - entry_start;
+    num_unknown = num_unknown_entry_attr + num_unknown_dispatch_mode;
+  }
   int i = 0;
   do {
-    if (i % 2 == 0) {
 
 Review comment:
   As I've written in the description `Change to the way passes are done so that both forward and backward inference is performed every time - I'm not sure if this is necessary - @eric-haibin-lin, thoughts?` - I'm not sure if this is necessary. I did remove it because it seemed like a bug - let's say you only have the information on the output instead of input, I was worried that then the inference pass would stop after just going forward, which would not infer anything. As I think about this more though, I think that even on the forward side the last op will actually decrease number of unknowns and so the `i = 1` step will be invoked. 
   If that is true, then this `if` statement is correct there and I will put it back.

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