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fixing batch_norm and layer_norm for large tensor nightly test #17805

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Mar 16, 2020
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fixing batch_norm and layer_norm for large tensor nightly test #17805

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2 changes: 1 addition & 1 deletion src/operator/nn/batch_norm.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -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;
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2 changes: 1 addition & 1 deletion src/operator/nn/layer_norm.cc
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Expand Up @@ -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;
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