!7899 fix broadcast parser of onnx

Merge pull request !7899 from yankai10/merge_1028

mindspore/lite/src/ops/broadcast_to.cc

@@ -62,21 +62,32 @@ Registry BroadcastToRegistry(schema::PrimitiveType_BroadcastTo, BroadcastToCreat
 
 namespace {
 constexpr int kBroadcastToInputNum = 1;
+constexpr int kBroadcastToOnnxInputNum = 2;
 constexpr int kBroadcastToOutputNum = 1;
 }  // namespace
 
 int BroadcastTo::InferShape(std::vector<Tensor *> inputs, std::vector<Tensor *> outputs) {
-  if (inputs.size() != kBroadcastToInputNum || outputs.size() != kBroadcastToOutputNum) {
-    MS_LOG(ERROR) << "input size:" << inputs.size() << ", output size:" << outputs.size();
+  if (inputs.size() != kBroadcastToInputNum && inputs.size() != kBroadcastToOnnxInputNum) {
+    MS_LOG(ERROR) << "input size:" << inputs.size();
     return RET_PARAM_INVALID;
   }
+  if (outputs.size() != kBroadcastToOutputNum) {
+    MS_LOG(ERROR) << "output size:" << outputs.size();
+    return RET_PARAM_INVALID;
+  }
+
   auto input = inputs.at(0);
   outputs[0]->SetFormat(input->GetFormat());
   outputs[0]->set_data_type(input->data_type());
   if (!GetInferFlag()) {
     return RET_OK;
   }
-  std::vector<int32_t> dst_shape(GetDstShape().begin(), GetDstShape().end());
+  std::vector<int32_t> dst_shape(GetDstShape());
+  for (size_t i = 0; i < dst_shape.size(); ++i) {
+    if (dst_shape[i] == -1) {
+      dst_shape[i] = inputs[0]->shape()[i];
+    }
+  }
   auto input_shape = input->shape();
   std::vector<int> shape(dst_shape.size());
   int input_shape_index = input_shape.size() - 1;

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

@@ -32,13 +32,33 @@ STATUS OnnxExpandParser::Parse(const onnx::GraphProto &onnx_graph, const onnx::N
     return RET_NULL_PTR;
   }
 
-  std::unique_ptr<schema::BroadcastT> attr = std::make_unique<schema::BroadcastT>();
+  std::unique_ptr<schema::BroadcastToT> attr = std::make_unique<schema::BroadcastToT>();
   if (attr == nullptr) {
     MS_LOG(ERROR) << "new op failed";
     return RET_NULL_PTR;
   }
 
-  op->primitive->value.type = schema::PrimitiveType_Broadcast;
+  std::vector<int> dst_shape;
+  const auto &onnx_expand_power = onnx_node.input(1);
+  auto nodeIter =
+    std::find_if(onnx_graph.node().begin(), onnx_graph.node().end(),
+                 [onnx_expand_power](const onnx::NodeProto &proto) { return proto.output(0) == onnx_expand_power; });
+  if (nodeIter == onnx_graph.node().end()) {
+    MS_LOG(ERROR) << "can not find node: " << onnx_expand_power;
+    return RET_ERROR;
+  }
+  const int64_t *dataPtr = nullptr;
+  for (const auto &attrPower : nodeIter->attribute()) {
+    if (attrPower.name() == "value") {
+      const auto &t = attrPower.t();
+      dataPtr = reinterpret_cast<const int64_t *>(t.raw_data().data());
+      for (int i = 0; i < t.dims(0); ++i) {
+        dst_shape.emplace_back(dataPtr[i]);
+      }
+    }
+  }
+  attr->dst_shape = dst_shape;
+  op->primitive->value.type = schema::PrimitiveType_BroadcastTo;
   op->primitive->value.value = attr.release();
   return RET_OK;
 }