marcoabreu commented on a change in pull request #13310: [MXNET-703] Update to
TensorRT 5, ONNX IR 3. Fix inference bugs.
URL: https://github.com/apache/incubator-mxnet/pull/13310#discussion_r236058387
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File path: src/operator/contrib/nnvm_to_onnx.cc
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@@ -382,31 +387,16 @@ void ConvertBatchNorm(NodeProto* node_proto, const
NodeAttrs& attrs,
AttributeProto* const spatial = node_proto->add_attribute();
spatial->set_name("spatial");
spatial->set_type(AttributeProto::INT);
- spatial->set_i(1);
-
- AttributeProto* const consumed = node_proto->add_attribute();
- consumed->set_name("consumed_inputs");
- consumed->set_type(AttributeProto::INTS);
-
- for (int i = 0; i < 5; i++) {
- int val = (i < 3) ? 0 : 1;
- consumed->add_ints(static_cast<int64>(val));
- }
+ // MXNet computes mean and variance per feature for batchnorm. Enabling
spatial mode
+ // (default in ONNX3) implies running batchnorm on all spatial features so
we need to explicitly
+ // disable this for MXNet's BatchNorm.
+ spatial->set_i(0);
Review comment:
Can we add a test for this in case the default behaviour changes in future
releases?
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