!13134 [MS][LITE] tts_encoder models convert to weight quant failed.

From: @mengyuanli
Reviewed-by: @zhang_xue_tong,@hangangqiang
Signed-off-by: @zhang_xue_tong

mindspore/lite/nnacl/gather_parameter.h

@@ -23,7 +23,6 @@ typedef struct GatherParameter {
   // Primitive parameter
   OpParameter op_parameter_;
   int axis_;
-  int quant_type_;
 } GatherParameter;
 
 #endif  // MINDSPORE_LITE_SRC_RUNTIME_KERNEL_ARM_NNACL_GATHER_PARAMETER_H_

mindspore/lite/nnacl/infer/gather_infer.c

@@ -25,8 +25,7 @@ int GatherInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC *
   const TensorC *indices = inputs[1];
   TensorC *output = outputs[0];
   output->data_type_ = input->data_type_;
-  GatherParameter *param = (GatherParameter *)parameter;
-  if (param->quant_type_ == QuantType_WeightQuant) {
+  if (parameter->quant_type_ == QuantType_WeightQuant) {
     output->data_type_ = kNumberTypeFloat32;
   }
   output->format_ = input->format_;

mindspore/lite/nnacl/op_base.h

@@ -80,6 +80,7 @@ typedef struct OpParameter {
   bool infer_flag_;
   int type_;
   int thread_num_;
+  int quant_type_;
 } OpParameter;
 
 typedef struct QuantArg {

mindspore/lite/src/mindrt_executor.cc

@@ -49,7 +49,7 @@ int MindrtExecutor::Prepare(const std::vector<kernel::LiteKernel *> &kernels) {
 
       for (size_t j = 0; j < outTensorSize; j++) {
         auto data =
-          std::make_shared<OpData<Tensor>>(opActors_[i]->GetAID(), kernels[i]->in_tensors()[j], static_cast<int>(j));
+          std::make_shared<OpData<Tensor>>(opActors_[i]->GetAID(), kernels[i]->out_tensors()[j], static_cast<int>(j));
         outputData_.emplace_back(data);
       }
     }

mindspore/lite/src/ops/populate/where_populate.cc

@@ -14,19 +14,20 @@
  * limitations under the License.
  */
 #include "src/ops/populate/populate_register.h"
+#include "nnacl/where_parameter.h"
 
 namespace mindspore {
 namespace lite {
 namespace {
 OpParameter *PopulateWhereParameter(const void *prim) {
-  OpParameter *where_parameter = reinterpret_cast<OpParameter *>(malloc(sizeof(OpParameter)));
+  WhereParameter *where_parameter = reinterpret_cast<WhereParameter *>(malloc(sizeof(WhereParameter)));
   if (where_parameter == nullptr) {
     MS_LOG(ERROR) << "malloc Where parameter failed.";
     return nullptr;
   }
   memset(where_parameter, 0, sizeof(OpParameter));
   auto primitive = static_cast<const schema::Primitive *>(prim);
-  where_parameter->type_ = primitive->value_type();
+  where_parameter->op_parameter_.type_ = primitive->value_type();
   return reinterpret_cast<OpParameter *>(where_parameter);
 }
 }  // namespace

mindspore/lite/src/scheduler.cc

@@ -135,6 +135,8 @@ int Scheduler::InferNodeShape(const lite::Model::Node *node, bool *infer_shape_i
     MS_LOG(ERROR) << "PopulateParameter return nullptr, type: " << PrimitiveTypeName(GetPrimitiveType(primitive));
     return RET_ERROR;
   }
+  parameter->quant_type_ = node->quant_type_;
+
   op_parameters_[node->output_indices_.at(0)] = parameter;
   parameter->infer_flag_ = !(*infer_shape_interrupt);
   auto ret = KernelInferShape(inputs, &outputs, parameter);

mindspore/lite/tools/converter/quant_param_holder.h

@@ -81,7 +81,7 @@ class QuantParamHolder : public Value {
   }
 
   void set_input_quant_param(const size_t &index, const std::vector<schema::QuantParamT> &input_quant_param) {
-    if (index > this->input_quant_param_.size()) {
+    if (index >= this->input_quant_param_.size()) {
       std::vector<schema::QuantParamT> place_quant(1);
       this->input_quant_param_.insert(this->input_quant_param_.end(), index + 1 - input_quant_param_.size(),
                                       place_quant);
@@ -94,7 +94,7 @@ class QuantParamHolder : public Value {
   }
 
   void set_output_quant_param(const size_t &index, const std::vector<schema::QuantParamT> &output_quant_param) {
-    if (index > this->output_quant_param_.size()) {
+    if (index >= this->output_quant_param_.size()) {
       std::vector<schema::QuantParamT> place_quant(1);
       this->output_quant_param_.insert(this->output_quant_param_.end(), index + 1 - output_quant_param_.size(),
                                        place_quant);