Fix alpha tensor key

paddle/fluid/inference/tensorrt/convert/leaky_relu_op.cc

@@ -72,7 +72,10 @@ class LeakyReluOpConverter : public OpConverter {
                              nvinfer1::ElementWiseOperation::kSUM);
     PADDLE_ENFORCE(nullptr != output_layer);
     // keep alpha tensor to avoid release it's memory
-    engine_->weight_map[op_desc.Input("alpha")[0]] = std::move(alpha_tensor);
+    std::string alpha_name = op_desc.Output("Out")[0] + "_alpha";
+    PADDLE_ENFORCE(engine_->weight_map.find(alpha_name) ==
+                   engine_->weight_map.end());
+    engine_->weight_map[alpha_name] = std::move(alpha_tensor);
 
     std::string layer_name = "leaky_relu (Output: ";
     auto output_name = op_desc.Output("Out")[0];

paddle/fluid/inference/tensorrt/convert/test_leaky_relu_op.cc

@@ -20,8 +20,8 @@ namespace paddle {
 namespace inference {
 namespace tensorrt {
 
-TEST(leaky_relu_op, test_channel_wise) {
-  std::unordered_set<std::string> parameters({"leaky_relu_alpha"});
+TEST(leaky_relu_op, test_leaky_relu) {
+  std::unordered_set<std::string> parameters;
   framework::Scope scope;
   TRTConvertValidation validator(10, parameters, scope, 1000);
   validator.DeclInputVar("leaky_relu_input", nvinfer1::DimsCHW(3, 2, 2));