fixing batch_norm and layer_norm for large tensors (apache#17805) (ap…

…ache#18261) Co-authored-by: Rohit Kumar Srivastava <srivastava.141@buckeyemail.osu.edu> Co-authored-by: Rohit Kumar Srivastava <srivastava.141@buckeyemail.osu.edu>
bgawrych · May 11, 2020 · ceb0f06 · ceb0f06
1 parent 80baab8
commit ceb0f06
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/src/operator/nn/batch_norm.cc b/src/operator/nn/batch_norm.cc
@@ -330,7 +330,7 @@ static bool BatchNormShape(const nnvm::NodeAttrs& attrs,
       : param.axis);
   CHECK_LT(channelAxis, dshape.ndim()) << "Channel axis out of range: " << param.axis;
 
-  const int channelCount = dshape[channelAxis];
+  const index_t channelCount = dshape[channelAxis];
 
   if (!mxnet::ndim_is_known(dshape)) {
     return false;

diff --git a/src/operator/nn/layer_norm.cc b/src/operator/nn/layer_norm.cc
@@ -47,7 +47,7 @@ static bool LayerNormShape(const nnvm::NodeAttrs& attrs,
   CHECK(axis >= 0 && axis < dshape.ndim())
     << "Channel axis out of range: axis=" << param.axis;
 
-  const int channelCount = dshape[axis];
+  const index_t channelCount = dshape[axis];
 
   if (!mxnet::ndim_is_known(dshape)) {
     return false;