diff --git a/mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.cc b/mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.cc
index b1396d5b689..39266199203 100644
--- a/mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.cc
+++ b/mindspore/ccsrc/backend/optimizer/ascend/ascend_backend_optimization.cc
@@ -38,6 +38,7 @@
 #include "backend/optimizer/ascend/ir_fusion/square_sum_fusion.h"
 #include "backend/optimizer/ascend/ir_fusion/clip_by_norm_no_div_square_sum_fusion.h"
 #include "backend/optimizer/ascend/ir_fusion/lamb_update_with_lr_rule_fusion.h"
+#include "backend/optimizer/ascend/ir_fusion/prelu_fusion.h"
 #include "backend/optimizer/ascend/ir_fusion/clip_by_value_fusion.h"
 #include "backend/optimizer/ascend/ir_fusion/confusion_softmax_grad_rule.h"
 #include "backend/optimizer/ascend/ir_fusion/lamb_next_mv_rule.h"
@@ -165,6 +166,7 @@ void AddAscendIRFusionRulesPass(PassManager *ir_fusion_pm) {
   ir_fusion_pm->AddPass(std::make_shared<ClipByNormNoDivSquareSumFusion>());
   ir_fusion_pm->AddPass(std::make_shared<SquareSumFusion>());
   ir_fusion_pm->AddPass(std::make_shared<ClipByValueFusion>());
+  ir_fusion_pm->AddPass(std::make_shared<PReluFusion>());
 }
 
 void AddAscendIRFusionPass(PassManager *ir_fusion_pm) {
diff --git a/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.cc b/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.cc
new file mode 100644
index 00000000000..1c8ca3d4bbd
--- /dev/null
+++ b/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.cc
@@ -0,0 +1,59 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "backend/optimizer/ascend/ir_fusion/prelu_fusion.h"
+
+#include <memory>
+#include <vector>
+
+#include "backend/session/anf_runtime_algorithm.h"
+#include "ir/primitive.h"
+#include "utils/utils.h"
+#include "backend/optimizer/common/helper.h"
+
+namespace mindspore {
+namespace opt {
+const BaseRef PReluFusion::DefinePattern() const {
+  VectorRef x_pattern({prim::kPrimRelu, VectorRef({prim::kPrimNeg, x_})});
+  VectorRef mul_pattern({prim::kPrimMul, VectorRef({prim::kPrimNeg, weight_}), x_pattern});
+  VectorRef pattern({prim::kPrimAdd, VectorRef({prim::kPrimRelu, x_}), mul_pattern});
+  return pattern;
+}
+
+const AnfNodePtr PReluFusion::Process(const FuncGraphPtr &graph, const AnfNodePtr &node, const EquivPtr &equiv) const {
+  MS_EXCEPTION_IF_NULL(graph);
+  MS_EXCEPTION_IF_NULL(node);
+  MS_EXCEPTION_IF_NULL(equiv);
+
+  BaseRef &x_gnode = (*equiv)[x_];
+  BaseRef &weight_gnode = (*equiv)[weight_];
+
+  auto x = utils::cast<AnfNodePtr>(x_gnode);
+  auto weight = utils::cast<AnfNodePtr>(weight_gnode);
+
+  MS_EXCEPTION_IF_NULL(x);
+  MS_EXCEPTION_IF_NULL(weight);
+
+  auto prim = std::make_shared<Primitive>(kPReluOpName);
+  MS_EXCEPTION_IF_NULL(prim);
+  std::vector<AnfNodePtr> inputs = {NewValueNode(prim), x, weight};
+  auto fusion_node = graph->NewCNode(inputs);
+  MS_EXCEPTION_IF_NULL(fusion_node);
+  fusion_node->set_abstract(node->abstract());
+  fusion_node->set_scope(node->scope());
+  return fusion_node;
+}
+}  // namespace opt
+}  // namespace mindspore
diff --git a/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.h b/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.h
new file mode 100644
index 00000000000..5dc1c2e641f
--- /dev/null
+++ b/mindspore/ccsrc/backend/optimizer/ascend/ir_fusion/prelu_fusion.h
@@ -0,0 +1,41 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#ifndef MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_PRELU_FUSION_H_
+#define MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_PRELU_FUSION_H_
+
+#include <vector>
+#include <memory>
+#include "backend/optimizer/common/optimizer.h"
+
+namespace mindspore {
+namespace opt {
+class PReluFusion : public PatternProcessPass {
+ public:
+  explicit PReluFusion(bool multigraph = true) : PatternProcessPass("prelu_fusion", multigraph) {
+    x_ = std::make_shared<Var>();
+    weight_ = std::make_shared<Var>();
+  }
+  ~PReluFusion() override = default;
+  const BaseRef DefinePattern() const override;
+  const AnfNodePtr Process(const FuncGraphPtr &, const AnfNodePtr &, const EquivPtr &) const override;
+
+ private:
+  VarPtr x_;
+  VarPtr weight_;
+};
+}  // namespace opt
+}  // namespace mindspore
+#endif  // MINDSPORE_CCSRC_BACKEND_OPTIMIZER_ASCEND_IR_FUSION_PRELU_FUSION_H_
diff --git a/mindspore/ccsrc/utils/utils.h b/mindspore/ccsrc/utils/utils.h
index 172683a22ca..173642f7162 100644
--- a/mindspore/ccsrc/utils/utils.h
+++ b/mindspore/ccsrc/utils/utils.h
@@ -129,6 +129,7 @@ constexpr auto kBNTrainingReduceGradOpName = "BNTrainingReduceGrad";
 constexpr auto kSquareSumV1OpName = "SquareSumV1";
 constexpr auto kSquareSumV2OpName = "SquareSumV2";
 constexpr auto kClipByNormNoDivSumOpName = "ClipByNormNoDivSum";
+constexpr auto kPReluOpName = "PReLU";
 constexpr auto kGreaterOpName = "Greater";
 constexpr auto kSqrtOpName = "Sqrt";
 constexpr auto kRsqrtOpName = "Rsqrt";