!6776 [MSLITE] Fix bug of leakyRelu int8.

Merge pull request !6776 from wangshaocong/lite_bugfix_leakyrelu

mindspore/lite/nnacl/fp32/leaky_relu.c

@@ -1,26 +0,0 @@
-/**
- * Copyright 2020 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 "nnacl/fp32/leaky_relu.h"
-
-void DoLeakyRelu(float *input, float *output, LeakyReluParameter *param, int task_id) {
-  for (int i = task_id; i < param->input_num_; i += param->op_parameter_.thread_num_) {
-    if (input[i] <= 0) {
-      output[i] = input[i] * param->slope_[0];
-    } else {
-      output[i] = input[i];
-    }
-  }
-}

mindspore/lite/nnacl/fp32/leaky_relu.h

@@ -1,30 +0,0 @@
-/**
- * Copyright 2020 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_LITE_NNACL_PRELU_H_
-#define MINDSPORE_LITE_NNACL_PRELU_H_
-
-#include "nnacl/op_base.h"
-#include "nnacl/leaky_relu_parameter.h"
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-void DoLeakyRelu(float *input, float *output, LeakyReluParameter *prelu_param_, int task_id);
-#ifdef __cplusplus
-}
-#endif
-
-#endif  // MINDSPORE_LITE_NNACL_PRELU_H_

mindspore/lite/nnacl/int8/leaky_relu_int8.c

@@ -17,8 +17,7 @@
 #include "nnacl/int8/leaky_relu_int8.h"
 #include "nnacl/errorcode.h"
 
-int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_prelu_parm, QuantArg *input_quant,
+int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_prelu_parm, int task_id) {
-                   int task_id) {
   if (quant_prelu_parm == NULL) {
     return NNACL_NULL_PTR;
   }
@@ -27,17 +26,12 @@ int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_
   const float output_inverse_scale = 1.f / output_scale;
   int output_dim = quant_prelu_parm->input_dim_;
 
+  float scale = quant_prelu_parm->quant_arg.in_args_.scale_ * output_inverse_scale;
+  float bias = -quant_prelu_parm->quant_arg.in_args_.zp_ * scale;
   for (int i = 0; i < output_dim; i++) {
-    input_quant[i].scale_ = quant_prelu_parm->quant_arg.in_args_.scale_;
-    input_quant[i].zp_ = quant_prelu_parm->quant_arg.in_args_.zp_;
-  }
-
-  for (int i = 0; i < output_dim; i++) {
-    float scale = input_quant[i].scale_ * output_inverse_scale;
-    float bias = -input_quant[i].zp_ * scale;
     for (int j = task_id; j < quant_prelu_parm->element_num; j += quant_prelu_parm->op_parameter_.thread_num_) {
       if (inputs[j] <= 0) {
-        int32_t output_tmp = round(inputs[j] * quant_prelu_parm->slope_[0] * scale + bias) + output_zp;
+        int32_t output_tmp = round(inputs[j] * quant_prelu_parm->slope_ * scale + bias) + output_zp;
         if (output_tmp > 127) {
           output_ptr[j] = 127;
         } else if (output_tmp < -128) {
@@ -57,6 +51,5 @@ int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_
       }
     }
   }
-  free(input_quant);
   return NNACL_OK;
 }

mindspore/lite/nnacl/int8/leaky_relu_int8.h

@@ -23,8 +23,7 @@
 #ifdef __cplusplus
 extern "C" {
 #endif
-int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_Prelu_parm, QuantArg *input_quant,
+int DoLeakReluInt8(int8_t *inputs, int8_t *output_ptr, LeakyReluQuantArg *quant_Prelu_parm, int task_id);
-                   int task_id);
 #ifdef __cplusplus
 }
 #endif

mindspore/lite/nnacl/leaky_relu_parameter.h

@@ -1,29 +0,0 @@
-/**
- * Copyright 2020 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_LITE_NNACL_LEAKY_RELU_PARAMETER_H_
-#define MINDSPORE_LITE_NNACL_LEAKY_RELU_PARAMETER_H_
-
-#include "nnacl/op_base.h"
-
-typedef struct LeakyReluParameter {
-  OpParameter op_parameter_;
-  float *slope_;
-  size_t slope_num_;
-  int input_num_;
-} LeakyReluParameter;
-
-#endif  // MINDSPORE_LITE_NNACL_LEAKY_RELU_PARAMETER_H_

mindspore/lite/nnacl/quantization/quantize.h

@@ -252,7 +252,7 @@ typedef struct PowerQuantArg {
 typedef struct LeakyReluQuantArg {
   OpParameter op_parameter_;
   PreluQuantArg quant_arg;
-  float *slope_;
+  float slope_;
   int64_t axis_;
   const int *in_shape_;
   const int *out_shape_;

mindspore/lite/src/populate_parameter.cc

@@ -170,7 +170,6 @@
 #include "nnacl/fp32/lstm.h"
 #include "nnacl/fp32/embedding_lookup.h"
 #include "nnacl/fp32/elu.h"
-#include "nnacl/leaky_relu_parameter.h"
 #include "mindspore/lite/nnacl/fp32/sparse_to_dense.h"
 #include "nnacl/l2_norm_parameter.h"
 #include "nnacl/detection_post_process_parameter.h"
@@ -253,26 +252,6 @@ OpParameter *PopulatePReLUParameter(const mindspore::lite::PrimitiveC *primitive
   return reinterpret_cast<OpParameter *>(prelu_param);
 }
 
-OpParameter *PopulateLeakyReluParameter(const mindspore::lite::PrimitiveC *primitive) {
-  auto param = dynamic_cast<const mindspore::lite::LeakyReLU *>(primitive);
-  LeakyReluParameter *leaky_relu_param = reinterpret_cast<LeakyReluParameter *>(malloc(sizeof(LeakyReluParameter)));
-  if (leaky_relu_param == nullptr) {
-    MS_LOG(ERROR) << "malloc LeakyReluParameter failed.";
-    return nullptr;
-  }
-  memset(leaky_relu_param, 0, sizeof(LeakyReluParameter));
-  leaky_relu_param->op_parameter_.type_ = primitive->Type();
-  leaky_relu_param->slope_ = reinterpret_cast<float *>(malloc(sizeof(float)));
-  if (leaky_relu_param->slope_ == nullptr) {
-    MS_LOG(ERROR) << "malloc relu slope fail!";
-    free(leaky_relu_param);
-    return nullptr;
-  }
-  leaky_relu_param->slope_[0] = param->GetNegativeSlope();
-  leaky_relu_param->slope_num_ = 1;
-  return reinterpret_cast<OpParameter *>(leaky_relu_param);
-}
-
 OpParameter *PopulatePoolingParameter(const mindspore::lite::PrimitiveC *primitive) {
   auto pooling_primitive =
     reinterpret_cast<mindspore::lite::Pooling *>(const_cast<mindspore::lite::PrimitiveC *>(primitive));
@@ -1701,7 +1680,6 @@ PopulateParameterRegistry::PopulateParameterRegistry() {
   populate_parameter_funcs_[schema::PrimitiveType_Squeeze] = PopulateSqueezeParameter;
   populate_parameter_funcs_[schema::PrimitiveType_Split] = PopulateSplitParameter;
   populate_parameter_funcs_[schema::PrimitiveType_PReLU] = PopulatePReLUParameter;
-  populate_parameter_funcs_[schema::PrimitiveType_LeakyReLU] = PopulateLeakyReluParameter;
   populate_parameter_funcs_[schema::PrimitiveType_PriorBox] = PopulatePriorBoxParameter;
   populate_parameter_funcs_[schema::PrimitiveType_QuantDTypeCast] = PopulateQuantDTypeCastParameter;
   populate_parameter_funcs_[schema::PrimitiveType_Lstm] = PopulateLstmParameter;

mindspore/lite/src/runtime/kernel/arm/base/leaky_relu_base.h

@@ -19,7 +19,6 @@
 
 #include <vector>
 #include "src/lite_kernel.h"
-#include "nnacl/leaky_relu_parameter.h"
 #include "src/runtime/kernel/arm/base/layout_transform.h"
 
 using mindspore::lite::InnerContext;

mindspore/lite/src/runtime/kernel/arm/fp32/leaky_relu.cc

@@ -1,101 +0,0 @@
-/**
- * Copyright 2020 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 "src/runtime/kernel/arm/fp32/leaky_relu.h"
-#include <vector>
-#include "schema/model_generated.h"
-#include "nnacl/fp32/leaky_relu.h"
-#include "src/kernel_registry.h"
-#include "include/errorcode.h"
-#include "src/runtime/runtime_api.h"
-
-using mindspore::kernel::KERNEL_ARCH::kCPU;
-using mindspore::lite::KernelRegistrar;
-using mindspore::lite::RET_ERROR;
-using mindspore::lite::RET_OK;
-using mindspore::schema::PrimitiveType_LeakyReLU;
-
-namespace mindspore::kernel {
-namespace {
-int LeakyReluRun(void *cdata, int task_id) {
-  auto kernel_relu = reinterpret_cast<LeakyReluCPUKernel *>(cdata);
-  auto ret = kernel_relu->DoExcute(task_id);
-  if (ret != RET_OK) {
-    MS_LOG(ERROR) << "LeakyReluRun error task_id[" << task_id << "] error_code[" << ret << "]";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-}  // namespace
-
-LeakyReluCPUKernel::~LeakyReluCPUKernel() {
-  if (prelu_param_->slope_ != nullptr) {
-    free(prelu_param_->slope_);
-    prelu_param_->slope_ = nullptr;
-  }
-}
-
-int LeakyReluCPUKernel::Init() { return RET_OK; }
-
-int LeakyReluCPUKernel::DoExcute(int task_id) {
-  DoLeakyRelu(input_data, output_data, prelu_param_, task_id);
-  return RET_OK;
-}
-
-int LeakyReluCPUKernel::Run() {
-  auto prepare_ret = Prepare();
-  if (prepare_ret != RET_OK) {
-    MS_LOG(ERROR) << "Prepare fail!ret: " << prepare_ret;
-    return prepare_ret;
-  }
-  auto input = in_tensors_.at(0);
-  prelu_param_->input_num_ = input->ElementsNum();
-  input_data = reinterpret_cast<float *>(input->MutableData());
-  output_data = reinterpret_cast<float *>(out_tensors_.at(0)->MutableData());
-
-  auto ret = ParallelLaunch(this->context_->thread_pool_, LeakyReluRun, this, context_->thread_num_);
-  if (ret != RET_OK) {
-    MS_LOG(ERROR) << "PReluDwRun error: error_code[" << ret << "]";
-    return RET_ERROR;
-  }
-  return RET_OK;
-}
-
-kernel::LiteKernel *CpuLeakyReluFp32KernelCreator(const std::vector<lite::Tensor *> &inputs,
-                                                  const std::vector<lite::Tensor *> &outputs, OpParameter *param,
-                                                  const lite::InnerContext *ctx, const kernel::KernelKey &desc,
-                                                  const mindspore::lite::PrimitiveC *primitive) {
-  if (param == nullptr) {
-    MS_LOG(ERROR) << "input param is nullptr!";
-    return nullptr;
-  }
-  MS_ASSERT(desc.type == schema::PrimitiveType_LeakyRelu);
-  auto *kernel = new (std::nothrow) LeakyReluCPUKernel(param, inputs, outputs, ctx, primitive);
-  if (kernel == nullptr) {
-    MS_LOG(ERROR) << "new LeakyReluCPUKernel fail!";
-    return nullptr;
-  }
-  auto ret = kernel->Init();
-  if (ret != RET_OK) {
-    MS_LOG(ERROR) << "Init kernel failed, name: " << param->name_
-                  << ", type: " << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(param->type_));
-    delete kernel;
-    return nullptr;
-  }
-  return kernel;
-}
-
-REG_KERNEL(kCPU, kNumberTypeFloat32, PrimitiveType_LeakyReLU, CpuLeakyReluFp32KernelCreator)
-}  // namespace mindspore::kernel

mindspore/lite/src/runtime/kernel/arm/fp32/leaky_relu.h

@@ -1,52 +0,0 @@
-/**
- * Copyright 2020 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_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_LEAKY_RELU_H_
-#define MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_LEAKY_RELU_H_
-
-#include <vector>
-#include "src/lite_kernel.h"
-#include "include/context.h"
-#include "nnacl/fp32/leaky_relu.h"
-#include "src/runtime/kernel/arm/base/layout_transform.h"
-
-using mindspore::lite::InnerContext;
-
-namespace mindspore::kernel {
-class LeakyReluCPUKernel : public LiteKernel {
- public:
-  LeakyReluCPUKernel(OpParameter *parameter, const std::vector<lite::Tensor *> &inputs,
-                     const std::vector<lite::Tensor *> &outputs, const lite::InnerContext *ctx,
-                     const mindspore::lite::PrimitiveC *primitive)
-      : LiteKernel(parameter, inputs, outputs, ctx, primitive) {
-    prelu_param_ = (reinterpret_cast<LeakyReluParameter *>(op_parameter_));
-    primitive_ = primitive;
-  }
-  ~LeakyReluCPUKernel();
-
-  int Init() override;
-  int ReSize() override { return 0; }
-  int Run() override;
-  int DoExcute(int task_id);
-
- protected:
-  LeakyReluParameter *prelu_param_;
-
- private:
-  float *input_data = nullptr;
-  float *output_data = nullptr;
-};
-}  // namespace mindspore::kernel
-#endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_FP32_LEAKY_RELU_H_

mindspore/lite/src/runtime/kernel/arm/int8/activation.cc

@@ -14,10 +14,10 @@
  * limitations under the License.
  */
 
-#include "src/runtime/kernel/arm/fp32/activation.h"
 #include "src/runtime/kernel/arm/int8/relux_int8.h"
 #include "src/runtime/kernel/arm/int8/hswish_int8.h"
 #include "src/runtime/kernel/arm/int8/sigmoid_int8.h"
+#include "src/runtime/kernel/arm/int8/leaky_relu_int8.h"
 #include "schema/model_generated.h"
 #include "src/kernel_registry.h"
 #include "src/runtime/runtime_api.h"
@@ -54,6 +54,9 @@ kernel::LiteKernel *CpuActivationInt8KernelCreator(const std::vector<lite::Tenso
     case schema::ActivationType_SIGMOID:
       kernel = new (std::nothrow) SigmoidInt8CPUKernel(parameter, inputs, outputs, ctx, primitive);
       break;
+    case schema::ActivationType_LEAKY_RELU:
+      kernel = new (std::nothrow) LeakyReluInt8CPUKernel(parameter, inputs, outputs, ctx, primitive);
+      break;
     default:
       break;
   }

mindspore/lite/src/runtime/kernel/arm/int8/leaky_relu_int8.cc

@@ -16,6 +16,7 @@
 
 #include "src/runtime/kernel/arm/int8/leaky_relu_int8.h"
 #include <limits>
+#include "nnacl/fp32/activation.h"
 #include "nnacl/int8/leaky_relu_int8.h"
 #include "src/runtime/runtime_api.h"
 #include "src/kernel_registry.h"
@@ -43,15 +44,9 @@ int LeakyReluInt8Run(void *cdata, int task_id) {
 
 int LeakyReluInt8CPUKernel::Init() {
   LeakyReluBaseCPUKernel::Init();
-  LeakyReluParameter *param = reinterpret_cast<LeakyReluParameter *>(op_parameter_);
+  quant_prelu_parm_.op_parameter_ = *op_parameter_;
-  quant_prelu_parm_.slope_ = reinterpret_cast<float *>(malloc(param->slope_num_ * sizeof(float)));
+  quant_prelu_parm_.slope_ = reinterpret_cast<ActivationParameter *>(op_parameter_)->alpha_;
-  if (quant_prelu_parm_.slope_ == nullptr) {
+
-    MS_LOG(ERROR) << "malloc data fail!";
-    return RET_ERROR;
-  }
-  for (size_t i = 0; i < param->slope_num_; ++i) {
-    quant_prelu_parm_.slope_[i] = param->slope_[i];
-  }
   auto *input_tensor = in_tensors_.at(kInputIndex);
   auto in_quant_args = input_tensor->GetQuantParams();
   quant_prelu_parm_.quant_arg.in_args_.scale_ = in_quant_args.front().scale;
@@ -82,14 +77,6 @@ int LeakyReluInt8CPUKernel::Init() {
 }
 
 LeakyReluInt8CPUKernel::~LeakyReluInt8CPUKernel() {
-  if (quant_prelu_parm_.slope_ != nullptr) {
-    free(quant_prelu_parm_.slope_);
-    quant_prelu_parm_.slope_ = nullptr;
-  }
-  if (input_quant_ != nullptr) {
-    free(input_quant_);
-    input_quant_ = nullptr;
-  }
   if (quant_prelu_parm_.in_shape_ != nullptr) {
     free(const_cast<int *>(quant_prelu_parm_.in_shape_));
     quant_prelu_parm_.in_shape_ = nullptr;
@@ -105,10 +92,6 @@ int LeakyReluInt8CPUKernel::ReSize() {
   auto *out_tensor = out_tensors_.at(kOutputIndex);
   auto input_dim = input_tensor->shape().size();
   MS_ASSERT(input_dim <= CROP_OFFSET_MAX_SIZE);
-  if (input_quant_ != nullptr) {
-    free(input_quant_);
-    input_quant_ = nullptr;
-  }
   quant_prelu_parm_.input_dim_ = input_dim;
   quant_prelu_parm_.element_num = in_tensors_[0]->Size();
   auto input_shape = input_tensor->shape();
@@ -128,11 +111,6 @@ int LeakyReluInt8CPUKernel::ReSize() {
     memcpy(reinterpret_cast<void *>(const_cast<int *>(quant_prelu_parm_.out_shape_)), output_shape.data(),
            sizeof(int) * output_dim);
   }
-  input_quant_ = static_cast<QuantArg *>(malloc(sizeof(QuantArg) * input_dim));
-  if (input_quant_ == nullptr) {
-    MS_LOG(ERROR) << "malloc memory failed";
-    return RET_MEMORY_FAILED;
-  }
   return RET_OK;
 }
 
@@ -154,7 +132,7 @@ int LeakyReluInt8CPUKernel::DoExecute(int task_id) {
   auto out_tensor = out_tensors_.at(kOutputIndex);
   int8_t *input_data = reinterpret_cast<int8_t *>(input_tensor->MutableData());
   int8_t *output_data = reinterpret_cast<int8_t *>(out_tensor->MutableData());
-  auto ret = DoLeakReluInt8(input_data, output_data, &quant_prelu_parm_, input_quant_, task_id);
+  auto ret = DoLeakReluInt8(input_data, output_data, &quant_prelu_parm_, task_id);
   if (ret != NNACL_OK) {
     MS_LOG(ERROR) << "DoLeakReluInt8 failed";
     return RET_ERROR;

mindspore/lite/src/runtime/kernel/arm/int8/leaky_relu_int8.h

@@ -39,7 +39,6 @@ class LeakyReluInt8CPUKernel : public LeakyReluBaseCPUKernel {
 
  private:
   LeakyReluQuantArg quant_prelu_parm_;
-  QuantArg *input_quant_ = nullptr;
 };
 }  // namespace mindspore::kernel
 

mindspore/lite/src/runtime/kernel/arm/int8/reduce_int8.cc

@@ -39,11 +39,15 @@ int ReduceInt8CPUKernel::Init() {
   if (ret != RET_OK) {
     return ret;
   }
-  ret = CalculateQuantArgs();
+  if (!this->in_tensors_[0]->shape().empty()) {
-  if (ret != RET_OK) {
+    this->valid_shape_ = true;
-    return ret;
+    ret = CalculateQuantArgs();
+    if (ret != RET_OK) {
+      return ret;
+    }
+  } else {
+    this->valid_shape_ = false;
   }
-
   switch (mode_) {
     case static_cast<int>(ReduceMode_ReduceMean): {
       reducer_ = ReduceMeanInt8;
@@ -248,6 +252,12 @@ int ReduceInt8CPUKernel::Run() {
     MS_LOG(ERROR) << "Prepare fail!ret: " << prepare_ret;
     return prepare_ret;
   }
+  if (!this->valid_shape_) {
+    auto ret = CalculateQuantArgs();
+    if (ret != RET_OK) {
+      return ret;
+    }
+  }
   auto ret = MallocTmpBuffer();
   if (ret != RET_OK) {
     FreeTmpBuffer();

mindspore/lite/src/runtime/kernel/arm/int8/reduce_int8.h

@@ -82,6 +82,7 @@ class ReduceInt8CPUKernel : public ReduceBaseCPUKernel {
   std::vector<int32_t *> data_buffers_;
   const int32_t *src_data_ = nullptr;
   int32_t *dst_data_ = nullptr;
+  bool valid_shape_ = false;
 
   Reducer reducer_ = nullptr;
   LastReducer last_reducer_ = nullptr;

mindspore/lite/test/ut/src/runtime/kernel/arm/int8/prelu_int8_tests.cc

@@ -66,8 +66,7 @@ TEST_F(TestPreluInt8, prelu_1) {
 
   LeakyReluQuantArg op_param;
   op_param.op_parameter_.type_ = schema::PrimitiveType_LeakyReLU;
-  op_param.slope_ = reinterpret_cast<float *>(malloc(sizeof(float)));
+  op_param.slope_ = 0.25;
-  op_param.slope_[0] = 0.25;
 
   lite::InnerContext *ctx = new lite::InnerContext;
   ctx->thread_num_ = 2;