fix some problems for power

mindspore/lite/src/runtime/kernel/opencl/kernel/power.cc

@@ -32,16 +32,10 @@ using mindspore::schema::PrimitiveType_Power;
 namespace mindspore::kernel {
 
 int PowerOpenCLKernel::CheckSpecs() {
-  auto param = reinterpret_cast<PowerParameter *>(this->op_parameter_);
-  broadcast_ = param->broadcast_;
   if ((in_tensors_.size() != 1 && in_tensors_.size() != 2) || out_tensors_.size() != 1) {
     MS_LOG(ERROR) << "in size: " << in_tensors_.size() << "out size: " << out_tensors_.size();
     return RET_ERROR;
   }
-  if (in_tensors_.size() == 1 && !broadcast_) {
-    MS_LOG(ERROR) << "broadcast is supported when in_tensors_.size() == 1  ";
-    return RET_ERROR;
-  }
   if (in_tensors_.size() == 2 && in_tensors_.at(0)->shape().size() != in_tensors_.at(1)->shape().size()) {
     MS_LOG(ERROR) << "Unsupported input->shape.size " << in_tensors_.at(0)->shape().size()
                   << "!=" << in_tensors_.at(1)->shape().size();
@@ -143,12 +137,14 @@ void PowerOpenCLKernel::SetGlobalLocal() {
 }
 
 int PowerOpenCLKernel::Prepare() {
+  if (in_tensors_.size() == 1) {
+    broadcast_ = true;
+  }
   use_fp16_enable_ = ocl_runtime_->GetFp16Enable();
   auto param = reinterpret_cast<PowerParameter *>(this->op_parameter_);
   std::string kernel_name = "power";
   std::string source = power_source;
   std::string program_name = "power";
-  broadcast_ = param->broadcast_;
   if (broadcast_ && in_tensors_.size() == 1) {
     power_ = param->power_;
     kernel_name += "_broadcast";