[GitHub] vsooda closed pull request #8950: fix build error in clang-900.0.38 in mac

[GitBox <gi...@apache.org>]

vsooda closed pull request #8950: fix build error in clang-900.0.38 in mac
URL: https://github.com/apache/incubator-mxnet/pull/8950
 
 
   

This is a PR merged from a forked repository.
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As this is a foreign pull request (from a fork), the diff is supplied
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diff --git a/src/operator/l2_normalization-inl.h b/src/operator/l2_normalization-inl.h
index cb8e740d7f..fd38dafadb 100644
--- a/src/operator/l2_normalization-inl.h
+++ b/src/operator/l2_normalization-inl.h
@@ -96,7 +96,7 @@ class L2NormalizationOp : public Operator {
       Tensor<xpu, 1> norm = out_data[l2_normalization::kNorm].get<xpu, 1, real_t>(s);
       norm = sumall_except_dim<0>(F<mxnet::op::mshadow_op::square>(data));
       norm = F<mxnet::op::mshadow_op::square_root>(norm + param_.eps);
-      out = data / broadcast<0>(norm, out.shape_);
+      out = data / mshadow::expr::broadcast<0>(norm, out.shape_);
     } else if (param_.mode == l2_normalization::kChannel) {
       CHECK_GE(orig_shape.ndim(), 3U);
       Shape<3> dshape = Shape3(orig_shape[0], orig_shape[1],
@@ -159,8 +159,8 @@ class L2NormalizationOp : public Operator {
         .get_space<xpu>(mshadow::Shape1(data.shape_[0]), s);
       temp = sumall_except_dim<0>(grad_out * data);
       Assign(grad_in, req[l2_normalization::kData],
-        (grad_out - data * broadcast<0>(temp, data.shape_)) /
-        broadcast<0>(norm, data.shape_));
+        (grad_out - data * mshadow::expr::broadcast<0>(temp, data.shape_)) /
+        mshadow::expr::broadcast<0>(norm, data.shape_));
     } else if (param_.mode == l2_normalization::kChannel) {
       CHECK_GE(orig_shape.ndim(), 3U);
       Shape<3> dshape = Shape3(orig_shape[0], orig_shape[1],


 

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