From 7f3d032d1e3a7781f3cc964e5cea786d22d240bd Mon Sep 17 00:00:00 2001
From: Lin Yuan <apeforest@gmail.com>
Date: Sun, 25 Aug 2019 15:34:01 -0700
Subject: [PATCH] Revert "Fix a memory misalignment in topk operator (#15948)"

This reverts commit 42746bc73e8bcb75bfcadd1398e6f71bc170fa10.
---
 src/operator/tensor/ordering_op-inl.h | 30 +++++++++++++--------------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/src/operator/tensor/ordering_op-inl.h b/src/operator/tensor/ordering_op-inl.h
index bd27441c1c73..1dda90104205 100644
--- a/src/operator/tensor/ordering_op-inl.h
+++ b/src/operator/tensor/ordering_op-inl.h
@@ -385,8 +385,8 @@ void TopKImpl(const RunContext &ctx,
   int axis = 0;
   bool do_transpose = false;
   bool is_ascend = false;
-  index_t k = 0;
-  size_t alignment = std::max(sizeof(DType), sizeof(index_t));
+  int k = 0;
+  size_t alignment = std::max(sizeof(DType), sizeof(int));
   mxnet::TShape target_shape;
   ParseTopKParam(src.shape_, param,
                  &target_shape, &batch_size, &element_num, &axis, &k, &do_transpose, &is_ascend);
@@ -395,31 +395,31 @@ void TopKImpl(const RunContext &ctx,
     << "The total element_num is " << element_num << ", but the selected IDType can only represent "
     << mxnet::common::MaxIntegerValue<IDType>() << " elements";
   Tensor<xpu, 3, DType> dat = src.FlatTo3D<xpu, DType>(axis, axis, s);
-  // Temp space needed by the full sorts.
-  size_t temp_size = std::max(
-      mxnet::op::SortByKeyWorkspaceSize<index_t, DType, xpu>(src.Size()),
-      mxnet::op::SortByKeyWorkspaceSize<DType, index_t, xpu>(src.Size()));
-
+  size_t temp_size = 0;
+  // Temp space needed by the gpu-based full sorts.
+  temp_size = std::max(temp_size,
+    mxnet::op::SortByKeyWorkspaceSize<int, int, xpu>(src.Size()));
   temp_size = std::max(temp_size,
-      mxnet::op::SortByKeyWorkspaceSize<index_t, index_t, xpu>(src.Size()));
+    mxnet::op::SortByKeyWorkspaceSize<int, DType, xpu>(src.Size()));
+  temp_size = std::max(temp_size,
+    mxnet::op::SortByKeyWorkspaceSize<DType, int, xpu>(src.Size()));
   // Additional temp space for gpu full sorts for batch ids.
   temp_size += PadBytes(sizeof(int) * src.Size(), alignment);
   // Temp space for cpu sorts.
-  temp_size = std::max(temp_size, sizeof(DType) * src.Size());
-
+  temp_size = std::max(temp_size, static_cast<size_t>(sizeof(DType) * src.Size()));
   size_t workspace_size = temp_size + PadBytes(sizeof(DType) * src.Size(), alignment)
                                     + PadBytes(sizeof(int) * src.Size(), alignment);
   if (param.ret_typ == topk_enum::kReturnMask) {
-    workspace_size += PadBytes(sizeof(index_t) * batch_size * k, alignment);
+    workspace_size += PadBytes(sizeof(int) * batch_size * k, alignment);
   }
   workspace = resource.get_space_typed<xpu, 1, char>(Shape1(workspace_size), s);
   char* workspace_curr_ptr = workspace.dptr_;
   sorted_dat = Tensor<xpu, 1, DType>(reinterpret_cast<DType*>(workspace_curr_ptr),
-      Shape1(src.Size()), s);  // contain sorted dat
+                                      Shape1(src.Size()), s);  // contain sorted dat
   workspace_curr_ptr += PadBytes(sizeof(DType) * src.Size(), alignment);
-  indices = Tensor<xpu, 1, index_t>(reinterpret_cast<index_t*>(workspace_curr_ptr),
-      Shape1(src.Size()), s);  // indices in the original matrix
-  workspace_curr_ptr += PadBytes(sizeof(index_t) * src.Size(), alignment);
+  indices = Tensor<xpu, 1, int>(reinterpret_cast<int*>(workspace_curr_ptr),
+                                Shape1(src.Size()), s);  // indices in the original matrix
+  workspace_curr_ptr += PadBytes(sizeof(int) * src.Size(), alignment);
 
   if (param.ret_typ == topk_enum::kReturnMask) {
     sel_indices = Tensor<xpu, 1, int>(reinterpret_cast<int*>(workspace_curr_ptr),