diff --git a/3rdparty/onednn b/3rdparty/onednn
index f58682cd8bd0..518b5e03690e 160000
--- a/3rdparty/onednn
+++ b/3rdparty/onednn
@@ -1 +1 @@
-Subproject commit f58682cd8bd0615f41d879f8afc8f1511ab42d24
+Subproject commit 518b5e03690e142eb07934d8ddb9c3571fe4f206
diff --git a/docs/python_docs/requirements b/docs/python_docs/requirements
index 90ceeb1daf9a..0f9f69aa6091 100644
--- a/docs/python_docs/requirements
+++ b/docs/python_docs/requirements
@@ -16,6 +16,7 @@
 # under the License.
 
 jupyter
+Jinja2==2.11.3
 sphinx==2.4.0
 matplotlib
 notebook
diff --git a/docs/static_site/src/assets/img/mxnet_sharp.png b/docs/static_site/src/assets/img/mxnet_sharp.png
new file mode 100644
index 000000000000..67c26b7cbd97
Binary files /dev/null and b/docs/static_site/src/assets/img/mxnet_sharp.png differ
diff --git a/docs/static_site/src/pages/ecosystem.html b/docs/static_site/src/pages/ecosystem.html
index bebaf854e054..9cb6b776aaf7 100644
--- a/docs/static_site/src/pages/ecosystem.html
+++ b/docs/static_site/src/pages/ecosystem.html
@@ -72,7 +72,10 @@
 - title: Multi Model Server
   text: Model Server for Apache MXNet (MMS) is a flexible and easy to use tool for serving deep learning models exported from MXNet or the Open Neural Network Exchange (ONNX).
   link: https://github.com/awslabs/multi-model-server
-
+- title: MxNet Sharp
+  text: MxNet Sharp package brings efficient and flexible GPU computing and state-of-art deep learning to .NET. It covers all the Imperative, Symbolic and Gluon interface with API's written closer to Python syntax which makes is easier to port python code easily.
+  link: https://github.com/deepakkumar1984/MxNet.Sharp
+  icon: /assets/img/mxnet_sharp.png
 ---
 
 <!---
diff --git a/src/operator/subgraph/mkldnn/mkldnn_fc-inl.h b/src/operator/subgraph/mkldnn/mkldnn_fc-inl.h
index 14177c42606c..de8a2569261d 100644
--- a/src/operator/subgraph/mkldnn/mkldnn_fc-inl.h
+++ b/src/operator/subgraph/mkldnn/mkldnn_fc-inl.h
@@ -36,7 +36,8 @@ static inline bool SupportMKLDNNFCEltwiseFusion(const std::string op_name) {
       op_name == "sqrt" ||
       op_name == "exp" ||
       op_name == "abs" ||
-      op_name == "clip") {
+      op_name == "clip" ||
+      op_name == "LeakyReLU") {
     return true;
   } else {
     return false;
diff --git a/src/operator/subgraph/mkldnn/mkldnn_fc.cc b/src/operator/subgraph/mkldnn/mkldnn_fc.cc
index 8f18b676e1c8..8eba4658298b 100644
--- a/src/operator/subgraph/mkldnn/mkldnn_fc.cc
+++ b/src/operator/subgraph/mkldnn/mkldnn_fc.cc
@@ -286,8 +286,16 @@ void SgMKLDNNFCOp::Forward(const OpContext &ctx,
       if (fuse_requantize || mkldnn_param.enable_float_output) {
         float tmp_scale_ = 1.0f;
         if (fuse_requantize) {
-          tmp_scale_ =
-            GetQuantizeScale(output.dtype(), cached_min_output_, cached_max_output_) / data_scale_;
+          if (mkldnn_param.with_eltwise) {
+            tmp_scale_ = 1.0 / data_scale_;
+            full_param_.eltwise_param.scale =
+              GetQuantizeScale(output.dtype(), cached_min_output_, cached_max_output_);
+          } else {
+            tmp_scale_ =
+              GetQuantizeScale(output.dtype(),
+                               cached_min_output_,
+                               cached_max_output_) / data_scale_;
+          }
         } else {
           tmp_scale_ = 1.0 / data_scale_;
         }
@@ -405,6 +413,10 @@ static void SgMKLDNNFCParamParser(nnvm::NodeAttrs *attrs) {
       if (op_name == "Activation") {
         const ActivationParam act_param = nnvm::get<ActivationParam>(node->attrs.parsed);
         full_param.eltwise_param.alg = GetMKLDNNActAlgo(act_param);
+      } else if (op_name == "LeakyReLU") {
+        const auto act_param = nnvm::get<LeakyReLUParam>(node->attrs.parsed);
+        full_param.eltwise_param.alpha = act_param.slope;
+        full_param.eltwise_param.alg = GetMKLDNNActAlgo(act_param);
       } else if (op_name == "clip") {
         const ClipParam clip_param = nnvm::get<ClipParam>(node->attrs.parsed);
         full_param.eltwise_param.alg = mkldnn::algorithm::eltwise_bounded_relu;
diff --git a/src/operator/subgraph/mkldnn/mkldnn_fc_property.h b/src/operator/subgraph/mkldnn/mkldnn_fc_property.h
index 2fbfb8580a3f..9a0c7770a22d 100644
--- a/src/operator/subgraph/mkldnn/mkldnn_fc_property.h
+++ b/src/operator/subgraph/mkldnn/mkldnn_fc_property.h
@@ -102,6 +102,16 @@ class SgMKLDNNFCSelector : public SubgraphSelector {
             return true;
           }
         }
+        if (new_node.op() == Op::Get("LeakyReLU")) {
+          const LeakyReLUParam &param = nnvm::get<LeakyReLUParam>(new_node.attrs.parsed);
+          if (param.act_type == leakyrelu::kLeakyReLU ||
+              param.act_type == leakyrelu::kELU ||
+              param.act_type == leakyrelu::kGELU) {
+            matched_list_.push_back(&new_node);
+            status_ = kSuccess;
+            return true;
+          }
+        }
         if (!quantized_ && (new_node.op() == Op::Get("square") ||
             new_node.op() == Op::Get("sqrt") ||
             new_node.op() == Op::Get("exp"))) {
diff --git a/tests/python/mkl/subgraphs/test_fc_subgraph.py b/tests/python/mkl/subgraphs/test_fc_subgraph.py
index 398d686c5df1..07151ad22227 100644
--- a/tests/python/mkl/subgraphs/test_fc_subgraph.py
+++ b/tests/python/mkl/subgraphs/test_fc_subgraph.py
@@ -23,7 +23,7 @@
 from mxnet.gluon import nn
 from mxnet.test_utils import assert_almost_equal_with_err
 
-fc_post_ops_list=['relu', 'sigmoid', 'tanh', 'softrelu',
+fc_post_ops_list=['relu', 'sigmoid', 'tanh', 'softrelu', 'gelu', 'elu', 'leaky',
                   'square', 'square_root', 'abs', 'exp', 'bounded_relu']
 
 def test_float64_fallback():
@@ -71,6 +71,8 @@ def hybrid_forward(self, F, x):
       fc_out = self.fc(x)
       if self.alg in ['relu', 'sigmoid', 'tanh', 'softrelu']:
         out = F.Activation(fc_out, act_type=self.alg)
+      elif self.alg in ['gelu', 'elu', 'leaky']:
+        out = F.LeakyReLU(fc_out, act_type=self.alg)
       elif self.alg == 'square':
         out = F.square(fc_out)
       elif self.alg == 'square_root':