[NPU] add check for reshape when "Shape" from Tensors (#2483)

fix errors for conv and conv_transpose
test=develop

lite/kernels/npu/bridges/conv_op.cc

@@ -59,8 +59,8 @@ node_map_type ConvConverter(const std::shared_ptr<lite::OpLite> conv_op,
   bool pad_equal =
       ((paddings[0] == paddings[1]) && (paddings[2] == paddings[3]));
   if (!pad_equal) {
-    LOG(FATA) << "This pad not support ! " << paddings[0] << ", " << paddings[1]
-              << ", " << paddings[2] << ", " << paddings[3];
+    LOG(FATAL) << "This pad not support ! " << paddings[0] << ", "
+               << paddings[1] << ", " << paddings[2] << ", " << paddings[3];
   }
 
   // check depthwise mode, and decide whether use ConvolutionDepthwise Op

lite/kernels/npu/bridges/conv_transpose_op.cc

@@ -54,8 +54,8 @@ node_map_type ConvTransposeConverter(
   bool pad_equal =
       ((paddings[0] == paddings[1]) && (paddings[2] == paddings[3]));
   if (!pad_equal) {
-    LOG(FATA) << "This pad not support ! " << paddings[0] << ", " << paddings[1]
-              << ", " << paddings[2] << ", " << paddings[3];
+    LOG(FATAL) << "This pad not support ! " << paddings[0] << ", "
+               << paddings[1] << ", " << paddings[2] << ", " << paddings[3];
   }
   // create input sizes node to describe the dimensions of input tensor
   std::vector<int32_t> output_shape;

lite/kernels/npu/bridges/reshape_op.cc

@@ -41,8 +41,10 @@ node_map_type ReshapeConverter(const std::shared_ptr<lite::OpLite> reshape_op,
   reshape_node->set_input_tensor(*inputs_map.at(x_var_name));
   lite::npu::OpList::Global().add(inputs_map.at(x_var_name));
 
-  // read shape from actual shape tensor as input "w" if 'Shape' is found
-  if (lite::npu::HasInputArg(op_info, scope, "Shape")) {
+  // read shape from "ShapeTensor"(input), or "Shape"(input), or "shape"(attr)
+  if (lite::npu::HasInputArg(op_info, scope, "ShapeTensor")) {
+    LOG(FATAL) << "[NPU] not support \"Shape\" from more than one Tensor.";
+  } else if (lite::npu::HasInputArg(op_info, scope, "Shape")) {
     auto actual_shape_var_name = op_info->Input("Shape").front();
     if (!inputs_map.count(actual_shape_var_name)) {
       auto actual_shape =