[ Conv2d ] save & read weight from file

This PR provides read & save Kenel and Bias

**Self evaluation:**
1. Build test:	 [X]Passed [ ]Failed [ ]Skipped
2. Run test:	 [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>

diff --git a/nntrainer/src/conv2d_layer.cpp b/nntrainer/src/conv2d_layer.cpp
index 9d161ed52d7d2239eb56864cec8fb0d8dd25607c..c0e6feb9e245eb08210e607938c0954b88843516 100644 (file)
--- a/nntrainer/src/conv2d_layer.cpp
+++ b/nntrainer/src/conv2d_layer.cpp
@@ -66,11 +66,15 @@ int Conv2DLayer::initialize(bool last) {
 }
 
 void Conv2DLayer::read(std::ifstream &file) {
-  // NYI
+  std::for_each(filters.begin(), filters.end(),
+                [&](Tensor &i) { i.read(file); });
+  std::for_each(bias.begin(), bias.end(), [&](Tensor &i) { i.read(file); });
 }
 
 void Conv2DLayer::save(std::ofstream &file) {
-  // NYI
+  std::for_each(filters.begin(), filters.end(),
+                [&](Tensor i) { i.save(file); });
+  std::for_each(bias.begin(), bias.end(), [&](Tensor i) { i.save(file); });
 }
 
 Tensor Conv2DLayer::forwarding(Tensor in, int &status) {