fix resize bilinear multithread issue

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

@@ -33,7 +33,6 @@ int ResizeCPUKernel::Init() {
   if (ret != RET_OK) {
     return ret;
   }
-  thread_num_ = context_->thread_num_;
   if (!InferShapeDone()) {
     return RET_OK;
   }
@@ -43,7 +42,6 @@ int ResizeCPUKernel::Init() {
 int ResizeCPUKernel::ReSize() {
   int ret = RET_OK;
   if (method_ == static_cast<int>(schema::ResizeMethod_LINEAR)) {
-    thread_num_ = 1;
     FreeTmpBuffer();
     ret = MallocTmpBuffer();
     if (ret != RET_OK) {
@@ -97,7 +95,7 @@ int ResizeCPUKernel::MallocTmpBuffer() {
     MS_LOG(ERROR) << "malloc data failed";
     return RET_NULL_PTR;
   }
-  line_buffer_ = reinterpret_cast<float *>(malloc(sizeof(float) * w * c * 2 * thread_num_));
+  line_buffer_ = reinterpret_cast<float *>(malloc(sizeof(float) * w * c * 2 * context_->thread_num_));
   if (line_buffer_ == nullptr) {
     MS_LOG(ERROR) << "malloc data failed";
     return RET_NULL_PTR;
@@ -168,14 +166,14 @@ int ResizeCPUKernel::RunImpl(int task_id) {
       int n_h_begin, n_h_end;
       int n = out_tensors_.at(0)->shape()[0];
       int h = new_height_;
-      int unit = UP_DIV(n * h, thread_num_);
+      int unit = UP_DIV(n * h, context_->thread_num_);
       n_h_begin = unit * task_id;
       n_h_end = std::min(n_h_begin + unit, n * h);
       int c = in_tensors_.at(0)->shape()[3];
-      line0_ = line_buffer_ + new_width_ * c * 2 * task_id;
-      line1_ = line0_ + new_width_ * c;
+      float *line0 = line_buffer_ + new_width_ * c * 2 * task_id;
+      float *line1 = line0 + new_width_ * c;
       ret = ResizeBilinear2(input_data, output_data, input_shape.data(), out_tensors_[0]->shape().data(), y_bottoms_,
-                            y_tops_, x_lefts_, x_rights_, y_bottom_weights_, x_left_weights_, line0_, line1_, n_h_begin,
+                            y_tops_, x_lefts_, x_rights_, y_bottom_weights_, x_left_weights_, line0, line1, n_h_begin,
                             n_h_end);
 
       break;
@@ -193,7 +191,7 @@ int ResizeCPUKernel::RunImpl(int task_id) {
         }
       }
       ret = ResizeNearestNeighbor(input_data, output_data, input_shape.data(), out_tensors_[0]->shape().data(),
-                                  align_corners_, task_id, thread_num_);
+                                  align_corners_, task_id, context_->thread_num_);
       break;
     }
     case schema::ResizeMethod_UNKNOW:
@@ -206,7 +204,7 @@ int ResizeCPUKernel::RunImpl(int task_id) {
 }
 
 int ResizeCPUKernel::Run() {
-  int error_code = ParallelLaunch(this->context_->thread_pool_, ResizeImpl, this, thread_num_);
+  int error_code = ParallelLaunch(this->context_->thread_pool_, ResizeImpl, this, context_->thread_num_);
   if (error_code != RET_OK) {
     MS_LOG(ERROR) << "Resize run error, error_code[" << error_code << "]";
     FreeTmpBuffer();

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

@@ -41,7 +41,6 @@ class ResizeCPUKernel : public ResizeBaseCPUKernel {
   void FreeTmpBuffer();
 
  private:
-  int thread_num_;
   int *y_tops_ = nullptr;
   int *y_bottoms_ = nullptr;
   int *x_lefts_ = nullptr;
@@ -49,8 +48,6 @@ class ResizeCPUKernel : public ResizeBaseCPUKernel {
   float *y_bottom_weights_ = nullptr;
   float *x_left_weights_ = nullptr;
   float *line_buffer_ = nullptr;
-  float *line0_ = nullptr;
-  float *line1_ = nullptr;
 };
 }  // namespace mindspore::kernel