!8440 fix resize issues of reshape and conv2d lite ops

From: @liuwenhao4
Reviewed-by: @zhang_xue_tong,@zhanghaibo5
Signed-off-by: @zhang_xue_tong

mindspore/lite/src/ops/conv2d.cc

@@ -390,8 +390,8 @@ int Conv2D::InferShape(std::vector<Tensor *> inputs_, std::vector<Tensor *> outp
   this->ConvInferShape(input_h, input_w, &output_h, &output_w);
 
   std::vector<int> out_shape{input_tensor->shape()};
-  out_shape.at(1) = output_h;
-  out_shape.at(2) = output_w;
+  out_shape.at(1) = output_h > 0 ? output_h : 1;
+  out_shape.at(2) = output_w > 0 ? output_w : 1;
   out_shape.at(3) = weight_tensor->shape()[0];
   out_tensor->set_shape(out_shape);
 

mindspore/lite/src/runtime/kernel/arm/int8/reshape_int8.cc

@@ -51,7 +51,7 @@ int ReshapeInt8CPUKernel::Init() {
 int ReshapeInt8CPUKernel::ReSize() { return 0; }
 
 int ReshapeInt8CPUKernel::Run() {
-  MS_ASSERT(in_tensors_.size() == 1);
+  MS_ASSERT(in_tensors_.size() == 1 || in_tensors_.size() == 2);
   MS_ASSERT(out_tensors_.size() == 1);
   input_data_ = static_cast<int8_t *>(in_tensors_.at(kInputIndex)->MutableData());
   output_data_ = static_cast<int8_t *>(out_tensors_.at(kOutputIndex)->MutableData());