Update the api names in ex_model_builder.cpp

daquexian · daquexian · commit 594ee33e994b · 2019-11-21T17:33:14.000+08:00
diff --git a/binaries/ex_model_builder.cpp b/binaries/ex_model_builder.cpp
@@ -26,13 +26,13 @@ int main() {
             {Type::TENSOR_QUANT8_ASYMM, {3, 1, 1, 3}, 0.1, 150});
         builder.AddTensorFromBuffer("bias", bias_buf,
                                     {Type::TENSOR_INT32, {3}, 0.1, 0});
-        builder.AddLayerDEPTHWISE_CONV_2D("data", "weight", "bias", 1, 1, 0, 0, 0, 0,
+        builder.AddLayer_DEPTHWISE_CONV_2D("data", "weight", "bias", 1, 1, 0, 0, 0, 0,
                                  ModelBuilder::ACTIVATION_NONE, 1,
                                  "conv_fwd",
                                  std::make_optional<ModelBuilder::QuantInfo>(
                                      {Type::TENSOR_QUANT8_ASYMM, {0.5}, 100}));
-        builder.AddLayerRELU("conv_fwd", "relu_fwd");
-        builder.AddLayerADD("data", "relu_fwd", ModelBuilder::ACTIVATION_NONE, "output",
+        builder.AddLayer_RELU("conv_fwd", "relu_fwd");
+        builder.AddLayer_ADD("data", "relu_fwd", ModelBuilder::ACTIVATION_NONE, "output",
                                 std::make_optional<ModelBuilder::QuantInfo>(
                                     {Type::TENSOR_QUANT8_ASYMM, {0.05}, 100}));
     } else {
@@ -41,7 +41,7 @@ int main() {
                                     {Type::TENSOR_FLOAT32, {3, 1, 1, 3}});
         builder.AddTensorFromBuffer("bias", bias_buf,
                                     {Type::TENSOR_FLOAT32, {3}});
-        builder.AddLayerCONV_2D("data", "weight", "bias", 1, 1, 0, 0, 0, 0, ModelBuilder::ACTIVATION_NONE,
+        builder.AddLayer_CONV_2D("data", "weight", "bias", 1, 1, 0, 0, 0, 0, ModelBuilder::ACTIVATION_NONE,
                         "output", dnn::nullopt);
     }
     auto model = builder.AddOutput("output").Compile(
