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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2019/12/13 02:49:53 UTC

[GitHub] [incubator-tvm] apivovarov commented on a change in pull request #4510: Fix TF resize for dynamic size models

apivovarov commented on a change in pull request #4510: Fix TF resize for dynamic size models
URL: https://github.com/apache/incubator-tvm/pull/4510#discussion_r357465558
 
 

 ##########
 File path: python/tvm/relay/frontend/tensorflow.py
 ##########
 @@ -416,9 +416,11 @@ def _impl(inputs, attr, params):
                        extras={'axis': int(axis), 'num_newaxis': 1})(inputs, attr)
     return _impl
 
-def _resize_bilinear(bilinear_op):
+def _resize(method):
     def _impl(inputs, attr, params):
-        size = attr['_output_shapes'][0][1:3]
+        output_shape0 = attr['_output_shapes'][0]
+        # Dynamic size models might have _output_shapes attr equal to [None] here
+        size = output_shape0[1:3] if output_shape0 is not None else [-1]
 
 Review comment:
   I added test case for the case when placeholder has undefined shape in TF graph (`placeholder(shape=None)`). In that case `output_shape0` is `[-1,-1,-1,-1]` but now 'None'. At least this test tests the code fork which calls `_infer_value`

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