added detailed error message for unregistered tensorrt_subgrah_pass

Author: alncat

paddle/fluid/framework/ir/delete_quant_dequant_filter_op_pass.cc

@@ -100,6 +100,13 @@ void DeleteQuantDequantFilterOpPass::ApplyImpl(ir::Graph* graph) const {
       // compute the channel wise abs max of the weight tensor
       int quant_axis =
           BOOST_GET_CONST(int, quant_dequant_op->Op()->GetAttr("quant_axis"));
+
+      PADDLE_ENFORCE_EQ(quant_axis == 0 || quant_axis == 1, true,
+                        platform::errors::InvalidArgument(
+                            "'quant_axis' should be 0 or 1, but "
+                            "the received is %d",
+                            quant_axis));
+
       const int64_t channel = w_dims[quant_axis];
       weight_scale.resize(channel, 0);
       if (quant_axis == 0) {

paddle/fluid/framework/ir/pass.h

@@ -206,9 +206,19 @@ class PassRegistry {
   }
 
   std::unique_ptr<Pass> Get(const std::string &pass_type) const {
-    PADDLE_ENFORCE_EQ(Has(pass_type), true,
-                      platform::errors::InvalidArgument(
-                          "Pass %s has not been registered.", pass_type));
+    if (pass_type == "tensorrt_subgraph_pass") {
+      PADDLE_ENFORCE_EQ(Has(pass_type), true,
+                        platform::errors::InvalidArgument(
+                            "Pass %s has not been registered. Please "
+                            "use the paddle inference library "
+                            "compiled with tensorrt or disable "
+                            "the tensorrt engine in inference configuration! ",
+                            pass_type));
+    } else {
+      PADDLE_ENFORCE_EQ(Has(pass_type), true,
+                        platform::errors::InvalidArgument(
+                            "Pass %s has not been registered.", pass_type));
+    }
     return map_.at(pass_type)();
   }