diff --git a/src/operator/tensor/matrix_op-inl.h b/src/operator/tensor/matrix_op-inl.h
index 4ddb6bb55491..403d606acd5a 100644
--- a/src/operator/tensor/matrix_op-inl.h
+++ b/src/operator/tensor/matrix_op-inl.h
@@ -7,6 +7,7 @@
 #define MXNET_OPERATOR_TENSOR_MATRIX_OP_INL_H_
 
 #include <mxnet/operator_util.h>
+#include <dmlc/timer.h>
 #include <vector>
 #include <algorithm>
 #include <utility>
@@ -683,9 +684,8 @@ struct DotCsrTransDnsRspByRowBlocks {
         if (col_idx < seg_start || col_idx >= seg_end) continue;
         const size_t offset_out = col_idx * num_cols;
         row_idx[col_idx] = 1;
-        const auto val = data_l[k];
         for (size_t l = 0; l < num_cols; ++l) {
-          out[offset_out+l] += data_r[offset_r+l] * val;
+          out[offset_out+l] += data_r[offset_r+l] * data_l[k];
         }
       }
     }
@@ -903,6 +903,7 @@ void DotCsrDnsRspImpl(const OpContext& ctx,
               nnr = mxnet::common::ParallelAccumulate(row_idx, ret->shape()[0], nnr);
               ret->set_aux_shape(rowsparse::kIdx, mshadow::Shape1(nnr));
               ret->set_storage_shape(mshadow::Shape2(nnr, ret->shape()[1]));
+              LOG(INFO) << "DotCsrDnsRspImpl: output storage shape = " << ret->storage_shape();
               if (0 == nnr) return;
               mshadow::Tensor<xpu, 2, DType> rsp_data = data_out.FlatTo2D<xpu, DType>(s);
               size_t idx = 0;
@@ -942,6 +943,7 @@ void DotCsrRspDnsImpl(const OpContext& ctx,
   if (kNullOp == req) return;
   CHECK_EQ(lhs.storage_type(), kCSRStorage);
   CHECK_EQ(rhs.storage_type(), kRowSparseStorage);
+  LOG(INFO) << "DotCsrRspDnsImpl: rhs storage shape = " << rhs.storage_shape();
   mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
   if (!lhs.storage_initialized() || !rhs.storage_initialized()) {
     if (kWriteTo == req) {
@@ -1007,6 +1009,7 @@ void DotCsrRspRspImpl(const OpContext& ctx,
   if (kNullOp == req) return;
   CHECK_EQ(lhs.storage_type(), kCSRStorage);
   CHECK_EQ(rhs.storage_type(), kRowSparseStorage);
+  LOG(INFO) << "DotCsrRspRspImpl: rhs storage shape = " << rhs.storage_shape();
   CHECK_EQ(ret->storage_type(), kRowSparseStorage);
   if (!lhs.storage_initialized() || !rhs.storage_initialized()) return;
 
@@ -1048,6 +1051,7 @@ void DotCsrRspRspImpl(const OpContext& ctx,
               nnr = mxnet::common::ParallelAccumulate(row_idx, ret->shape()[0], nnr);
               ret->set_aux_shape(rowsparse::kIdx, mshadow::Shape1(nnr));
               ret->set_storage_shape(mshadow::Shape2(nnr, ret->shape()[1]));
+              LOG(INFO) << "DotCsrRspRspImpl: output storage shape = " << ret->storage_shape();
               if (0 == nnr) return;
               mshadow::Tensor<xpu, 2, DType> rsp_data = data_out.FlatTo2D<xpu, DType>(s);
               size_t idx = 0;
@@ -1129,19 +1133,31 @@ void DotForwardEx(const nnvm::NodeAttrs& attrs,
   auto out_stype = outputs[0].storage_type();
   if (lhs_stype == kCSRStorage && rhs_stype == kDefaultStorage && out_stype == kDefaultStorage) {
     TBlob ret = outputs[0].data();
+    double start = dmlc::GetTime();
     DotCsrDnsDnsImpl<xpu>(ctx, inputs[0], inputs[1].data(), req[0], param.transpose_a, &ret);
+    double elapse = dmlc::GetTime() - start;
+    LOG(INFO) << "DotCsrDnsDnsImpl: trans_lhs = " << param.transpose_a << ", time cost: " << elapse * 1000 << " ms";
   } else if (lhs_stype == kCSRStorage && rhs_stype == kRowSparseStorage
       && out_stype == kDefaultStorage) {
     TBlob ret = outputs[0].data();
+    double start = dmlc::GetTime();
     DotCsrRspDnsImpl<xpu>(ctx, inputs[0], inputs[1], req[0], param.transpose_a, &ret);
+    double elapse = dmlc::GetTime() - start;
+    LOG(INFO) << "DotCsrRspDnsImpl: trans_lhs = " << param.transpose_a << ", time cost: " << elapse * 1000 << " ms";
   } else if (lhs_stype == kCSRStorage && rhs_stype == kDefaultStorage
       && out_stype == kRowSparseStorage) {
     NDArray out = outputs[0];
+    double start = dmlc::GetTime();
     DotCsrDnsRspImpl<xpu>(ctx, inputs[0], inputs[1].data(), req[0], param.transpose_a, &out);
+    double elapse = dmlc::GetTime() - start;
+    LOG(INFO) << "DotCsrDnsRspImpl: trans_lhs = " << param.transpose_a << ", time cost: " << elapse * 1000 << " ms";
   } else if (lhs_stype == kCSRStorage && rhs_stype == kRowSparseStorage
       && out_stype == kRowSparseStorage) {
     NDArray ret = outputs[0];
+    double start = dmlc::GetTime();
     DotCsrRspRspImpl<xpu>(ctx, inputs[0], inputs[1], req[0], param.transpose_a, &ret);
+    double elapse = dmlc::GetTime() - start;
+    LOG(INFO) << "DotCsrRspRspImpl: trans_lhs = " << param.transpose_a << ", time cost: " << elapse * 1000 << " ms";
   } else {
     FCompExFallback<xpu>(attrs, ctx, inputs, req, outputs, DotForward_<xpu>, "DotForward_");
   }