bug fix (#1142)

* bug fix 1.eltwise div error 2.instancenorm w==0 error fix 3.onnx2tengine deconv output channel error

* apply code-format changes
Co-authored-by: Nshitouren1994 <shitouren1994@users.noreply.github.com>

source/device/cpu/op/eltwise/eltwise_ref.c

@@ -223,6 +223,16 @@ static int ref_eltwise_fp32(void* output, void* input0, void* input1, int type,
                 *out_ptr++ = in0[i] / in1[i / input_hw];
             }
         }
+        else if (input_hw == input_hw_1)
+        {
+            for (int i = 0; i < input_chan; i++)
+            {
+                for (int j = 0; j < input_hw; j++)
+                {
+                    *out_ptr++ = in0[i * input_hw + j] / in1[j];
+                }
+            }
+        }
         else
         {
             break;

source/device/cpu/op/instancenorm/instancenorm_ref.c

@@ -198,6 +198,11 @@ static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct ex
     int h = input_tensor->dims[2];
     int w = input_tensor->dims[3];
 
+    if (w == 0)
+    {
+        w = 1;
+    }
+
     int size = w * h;
 
     void* in_data = input_tensor->data;

tools/convert_tool/onnx/onnx2tengine.cpp

@@ -2008,7 +2008,8 @@ static int load_deconv(ir_graph_t* graph, ir_node_t* node, const onnx::NodeProto
         {
             int* dim = tensor->dims;
             /* onnx hide the output channel in weight ..*/
-            deconv_param->num_output = dim[1];
+            /* The number of channels in the output should be equal to W.shape[1] * group */
+            deconv_param->num_output = dim[1] * deconv_param->group;
             deconv_param->kernel_h = dim[2];
             deconv_param->kernel_w = dim[3];
         }