From 75bf124dd1f696068eb3a5c8a34976315f525a32 Mon Sep 17 00:00:00 2001
From: qnqinan <qnqinan@163.com>
Date: Wed, 21 Nov 2018 18:15:18 +0800
Subject: [PATCH] add densebox test file

---
 CMakeLists.txt                      |  2 +-
 src/fpga/V2/pe.cpp                  |  2 +-
 test/CMakeLists.txt                 |  6 ++++
 test/fpga/test_densebox_combine.cpp | 49 +++++++++++++++++++++++++++++
 4 files changed, 57 insertions(+), 2 deletions(-)
 create mode 100644 test/fpga/test_densebox_combine.cpp

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 7f1cffd332..bbf2be8fd7 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -213,7 +213,7 @@ else()
     set(NET "default" CACHE STRING "select net type")
 endif()
 
-set_property(CACHE NET PROPERTY STRINGS "default" "googlenet" "mobilenet" "yolo" "squeezenet" "FPGAnets" "NLP")
+set_property(CACHE NET PROPERTY STRINGS "default" "googlenet" "mobilenet" "yolo" "squeezenet" "FPGA_NET_V1" "FPGA_NET_V2" "NLP")
 include("${CMAKE_CURRENT_LIST_DIR}/tools/op.cmake")
 
 
diff --git a/src/fpga/V2/pe.cpp b/src/fpga/V2/pe.cpp
index 5a1114cd5e..35ef06de2d 100644
--- a/src/fpga/V2/pe.cpp
+++ b/src/fpga/V2/pe.cpp
@@ -213,7 +213,7 @@ int PerformBypass(const struct BypassArgs &args) {
   //    args.output.scale_address[0] = (float)(1.0 / scale);  // NOLINT
   //    args.output.scale_address[1] = scale;
   //  }
-  return ret;
+  // return ret;
 }
 
 int ComputeFPGAConcat(const struct ConcatArgs &args) {
diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt
index 2a4a8e7e21..edd63a7c68 100644
--- a/test/CMakeLists.txt
+++ b/test/CMakeLists.txt
@@ -67,6 +67,9 @@ if (CON GREATER -1)
     ADD_EXECUTABLE(test-resnet50 fpga/test_resnet50.cpp test_helper.h test_include.h executor_for_test.h)
     target_link_libraries(test-resnet50 paddle-mobile)
 
+    ADD_EXECUTABLE(test-densebox fpga/test_densebox_combine.cpp test_helper.h test_include.h executor_for_test.h)
+    target_link_libraries(test-densebox paddle-mobile)
+
     set(FOUND_MATCH ON)
 endif ()
 
@@ -78,6 +81,9 @@ if (CON GREATER -1)
     ADD_EXECUTABLE(test-pe fpga/test_pe.cpp)
     target_link_libraries(test-pe paddle-mobile)
 
+    ADD_EXECUTABLE(test-densebox fpga/test_densebox_combine.cpp test_helper.h test_include.h executor_for_test.h)
+    target_link_libraries(test-densebox paddle-mobile)
+
     set(FOUND_MATCH ON)
 endif ()
 
diff --git a/test/fpga/test_densebox_combine.cpp b/test/fpga/test_densebox_combine.cpp
new file mode 100644
index 0000000000..2d25270a85
--- /dev/null
+++ b/test/fpga/test_densebox_combine.cpp
@@ -0,0 +1,49 @@
+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include <iostream>
+#include "../test_helper.h"
+#include "../test_include.h"
+
+#ifdef PADDLE_MOBILE_FPGA_V1
+#include "fpga/V1/api.h"
+#endif
+#ifdef PADDLE_MOBILE_FPGA_V2
+#include "fpga/V2/api.h"
+#endif
+
+static const char *g_densebox_combine = "../models/densebox";
+int main() {
+  paddle_mobile::fpga::open_device();
+  paddle_mobile::PaddleMobile<paddle_mobile::FPGA> paddle_mobile;
+  //paddle_mobile.SetThreadNum(4);
+  if (paddle_mobile.Load(std::string(g_densebox_combine) + "/model",
+                         std::string(g_densebox_combine) + "/params", true)) {
+    //std::vector<float> input;
+    //std::vector<int64_t> dims{1, 3, 512, 1024};
+    //GetInput<float>(g_test_image_1x3x224x224_banana, &input, dims);
+
+    //auto vec_result = paddle_mobile.Predict(input, dims);
+
+    Tensor input_tensor;
+    SetupTensor<float>(&input_tensor, {1, 3, 512, 1024}, static_cast<float>(0),
+                       static_cast<float>(1));
+    //readStream(g_image_src_float,
+    //           input_tensor.mutable_data<float>({1, 3, 224, 224}));
+    paddle_mobile.FeedData(input_tensor);
+    paddle_mobile.Predict_To(-1);
+  }
+
+  return 0;
+}
-- 
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