[BUG FIX][Pass]fix depthwise deconv+bn fusion (#3480)

* fix format, test=develop

* add some op infershape implement, test=develop

* add reshape infershape, test=develop

* fix depthwise_deconv error. test=develop

* fix format. test=develop

lite/core/mir/fusion/conv_bn_fuser.cc

@@ -103,9 +103,12 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
   std::string conv_weight_name = matched.at("conv_weight")->arg()->name;
   auto conv_weight_t =
       scope->FindVar(conv_weight_name)->GetMutable<lite::Tensor>();
+  auto groups = conv_op_desc->GetAttr<int>("groups");
+  bool depthwise = false;
   if (conv_type_ == "conv2d_transpose") {
+    depthwise = (conv_weight_t->dims()[0] == conv_weight_t->dims()[1] * groups);
     CHECK_EQ(static_cast<size_t>(bn_scale_t->data_size()),
-             static_cast<size_t>(conv_weight_t->dims()[1]))
+             static_cast<size_t>(conv_weight_t->dims()[1] * groups))
         << "The BN bias's size should be equal to the size of the first "
         << "dim size of the conv weights";
   } else {
@@ -159,7 +162,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
     // compute new conv_weight for int8
     auto weight_scale =
         conv_op_desc->GetAttr<std::vector<float>>("weight_scale");
-    if (conv_type_ == "conv2d_transpose") {
+    if (conv_type_ == "conv2d_transpose" && !depthwise) {
       int c_size = conv_weight_t->dims()[1] * conv_weight_t->dims()[2] *
                    conv_weight_t->dims()[3];
       int hw = conv_weight_t->dims()[2] * conv_weight_t->dims()[3];
@@ -199,7 +202,7 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
   } else {
     // compute new conv_weight
     auto conv_weight_d = conv_weight_t->mutable_data<float>();
-    if (conv_type_ == "conv2d_transpose") {
+    if (conv_type_ == "conv2d_transpose" && !depthwise) {
       int c_size = conv_weight_t->dims()[1] * conv_weight_t->dims()[2] *
                    conv_weight_t->dims()[3];
       int hw = conv_weight_t->dims()[2] * conv_weight_t->dims()[3];