!6359 MSLITE fix parser onnx-pooling and tflite-pad and fix format_trans_pass

Merge pull request !6359 from 徐安越/master

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

@@ -131,7 +131,7 @@ int CastOpenCLKernel::Run() {
 
 kernel::LiteKernel *OpenCLCastKernelCreator(const std::vector<lite::Tensor *> &inputs,
                                             const std::vector<lite::Tensor *> &outputs, OpParameter *opParameter,
-                                            const lite::Context *ctx, const kernel::KernelKey &desc,
+                                            const lite::InnerContext *ctx, const kernel::KernelKey &desc,
                                             const mindspore::lite::PrimitiveC *primitive) {
   auto *kernel = new (std::nothrow) CastOpenCLKernel(opParameter, inputs, outputs);
   if (kernel == nullptr) {

mindspore/lite/tools/converter/legacy_optimizer/graph/format_trans_pass.cc

@@ -67,9 +67,8 @@ STATUS FormatTransPass::DoModelInputFormatTrans(schema::MetaGraphT *graph) {
     }
 
     for (auto iter = graph->nodes.begin(); iter != graph->nodes.end(); iter++) {
-      auto &node = *iter;
-      for (size_t inputIndexIdx = 0; inputIndexIdx < node->inputIndex.size(); inputIndexIdx++) {
-        if (node->inputIndex.at(inputIndexIdx) == inputIdx) {
+      for (size_t inputIndexIdx = 0; inputIndexIdx < (*iter)->inputIndex.size(); inputIndexIdx++) {
+        if ((*iter)->inputIndex.at(inputIndexIdx) == inputIdx) {
           STATUS status = RET_OK;
           iter = InsertFormatTransNode(graph, iter, kBefore, inputIndexIdx, kNHWC2NCHW, &status);
           if (status != RET_OK) {
@@ -89,7 +88,6 @@ STATUS FormatTransPass::DoModelInputFormatTrans(schema::MetaGraphT *graph) {
             graphInTensor->dims = {oldDims[NCHW_N], oldDims[NCHW_H], oldDims[NCHW_W], oldDims[NCHW_C]};
             transed = true;
           }
-          break;
         }
       }
     }

mindspore/lite/tools/converter/parser/onnx/onnx_pool_parser.cc

@@ -83,9 +83,9 @@ STATUS OnnxPoolParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::Nod
       if (onnx_node_attr.ints_size() == 4) {
         attr->padMode = schema::PadMode_CAFFE;
         attr->padUp = static_cast<int32_t>(onnx_node_attr.ints(0));
-        attr->padDown = static_cast<int32_t>(onnx_node_attr.ints(1));
-        attr->padLeft = static_cast<int32_t>(onnx_node_attr.ints(0));
-        attr->padRight = static_cast<int32_t>(onnx_node_attr.ints(1));
+        attr->padDown = static_cast<int32_t>(onnx_node_attr.ints(2));
+        attr->padLeft = static_cast<int32_t>(onnx_node_attr.ints(1));
+        attr->padRight = static_cast<int32_t>(onnx_node_attr.ints(3));
       }
     }
     if (attribute_name == "ceil_mode") {

mindspore/lite/tools/converter/parser/tflite/tflite_pad_parser.cc

@@ -74,8 +74,6 @@ STATUS TflitePadParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflite_o
         MS_LOG(ERROR) << "paddingmode:" << tflite_attr->mode << " don't support";
         return RET_INVALID_OP_ATTR;
       }
-    AddOpInput(op, tensors_id, tensors_format, tensors_id_map, tflite_op->inputs[1], tensors_id->size(),
-               tflite_tensors.size(), schema::Format::Format_NHWC);
   } else {
     MS_LOG(ERROR) << "this pad:" << node_name << " hasn't been supported";
     return RET_NOT_SUPPORT;
@@ -86,6 +84,10 @@ STATUS TflitePadParser::Parse(const std::unique_ptr<tflite::OperatorT> &tflite_o
 
   AddOpInput(op, tensors_id, tensors_format, tensors_id_map, tflite_op->inputs[0], tensors_id->size(),
              tflite_tensors.size(), schema::Format::Format_NHWC);
+  if (std::strcmp(node_name, "MirrorPad") == 0) {
+    AddOpInput(op, tensors_id, tensors_format, tensors_id_map, tflite_op->inputs[1], tensors_id->size(),
+               tflite_tensors.size(), schema::Format::Format_NHWC);
+  }
   AddOpOutput(op, tensors_id, tensors_format, tensors_id_map, tflite_op->outputs[0], tensors_id->size(),
               tflite_tensors.size(), schema::Format::Format_NHWC);
   return RET_OK;