fix sparse L2Norm's fallback regression

apache · Dec 23, 2019 · ac8ac1d · ac8ac1d
1 parent 0c6f49f
commit ac8ac1d
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Showing 3 changed files with 3 additions and 3 deletions.
diff --git a/src/operator/tensor/broadcast_reduce_norm_value.cc b/src/operator/tensor/broadcast_reduce_norm_value.cc
@@ -40,7 +40,7 @@ void L2NormComputeEx<cpu>(const nnvm::NodeAttrs& attrs,
   const NormParam& param = nnvm::get<NormParam>(attrs.parsed);
   mshadow::Stream<cpu>* s = ctx.get_stream<cpu>();
   const NDArrayStorageType istype = inputs[0].storage_type();
-  const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape();
+  const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape(0, -1);
   if ((istype == kRowSparseStorage || istype == kCSRStorage) && axis.ndim() == 0 &&
        param.ord == 2) {
     // l2 norm on the entire array

diff --git a/src/operator/tensor/broadcast_reduce_norm_value.cu b/src/operator/tensor/broadcast_reduce_norm_value.cu
@@ -39,7 +39,7 @@ void L2NormComputeEx<gpu>(const nnvm::NodeAttrs& attrs,
   const NormParam& param = nnvm::get<NormParam>(attrs.parsed);
   mshadow::Stream<gpu>* s = ctx.get_stream<gpu>();
   const NDArrayStorageType istype = inputs[0].storage_type();
-  const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape();
+  const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape(0, -1);
   if ((istype == kRowSparseStorage || istype == kCSRStorage) && axis.ndim() == 0 &&
        param.ord == 2) {
     // l2 norm on the entire array

diff --git a/src/operator/tensor/broadcast_reduce_op.h b/src/operator/tensor/broadcast_reduce_op.h
@@ -1152,7 +1152,7 @@ inline bool LpNormStorageType(const nnvm::NodeAttrs& attrs,
                                      DispatchMode::kFCompute);
   }
   if (param.ord == 2) {
-    const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape();
+    const mxnet::TShape axis = param.axis.has_value() ? param.axis.value() : mxnet::TShape(0, -1);
     if (!dispatched && (in_stype == kRowSparseStorage || in_stype == kCSRStorage) &&
         axis.ndim() == 0 && param.ord == 2) {
       // l2 norm: rsp/csr, axis = () -> dns