[GitHub] [incubator-mxnet] leezu commented on a change in pull request #18807: adding error message when attempting to use Large tensor with linalg_syevd

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

leezu commented on a change in pull request #18807:
URL: https://github.com/apache/incubator-mxnet/pull/18807#discussion_r462554483



##########
File path: src/operator/tensor/la_op.h
##########
@@ -470,11 +470,14 @@ inline bool DetType(const nnvm::NodeAttrs& attrs,
 inline bool LaEigFactShape(const nnvm::NodeAttrs& attrs,
                            mxnet::ShapeVector* in_attrs,
                            mxnet::ShapeVector* out_attrs) {
+  using namespace mshadow;
   CHECK_EQ(in_attrs->size(), 1);
   CHECK_EQ(out_attrs->size(), 2);
   const mxnet::TShape& in_a = (*in_attrs)[0];
   const mxnet::TShape& out_u = (*out_attrs)[0];
   const mxnet::TShape& out_l = (*out_attrs)[1];
+  CHECK_LE(in_a.Size(), INT_MAX)

Review comment:
       It's better to be explicit about your dependencies.
   
   "Avoid surprises. Avoid having to change #includes if an #included header changes. Avoid accidentally becoming dependent on implementation details and logically separate entities included in a header."
   
   https://github.com/isocpp/CppCoreGuidelines/blob/master/CppCoreGuidelines.md#Rs-implicit




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