Added nullptr check for LeakyRelu gamma parameter.

Jenkinsfile

@@ -260,6 +260,9 @@ try {
             stash includes: 'build/cpp-package/example/googlenet', name: 'cpp_googlenet'
             stash includes: 'build/cpp-package/example/lenet_with_mxdataiter', name: 'cpp_lenet_with_mxdataiter'
             stash includes: 'build/cpp-package/example/resnet', name: 'cpp_resnet'
+            stash includes: 'build/cpp-package/example/mlp', name: 'cpp_mlp'
+            stash includes: 'build/cpp-package/example/mlp_cpu', name: 'cpp_mlp_cpu'
+            stash includes: 'build/cpp-package/example/mlp_gpu', name: 'cpp_mlp_gpu'
             stash includes: 'build/cpp-package/example/test_score', name: 'cpp_test_score'
             stash includes: 'build/cpp-package/example/test_optimizer', name: 'cpp_test_optimizer'
           }
@@ -791,6 +794,9 @@ try {
             unstash 'cpp_googlenet'
             unstash 'cpp_lenet_with_mxdataiter'
             unstash 'cpp_resnet'
+            unstash 'cpp_mlp'
+            unstash 'cpp_mlp_cpu'
+            unstash 'cpp_mlp_gpu'
             unstash 'cpp_test_score'
             unstash 'cpp_test_optimizer'
             sh "ci/build.py --nvidiadocker --platform ubuntu_gpu /work/runtime_functions.sh integrationtest_ubuntu_gpu_cpp_package"

cpp-package/example/mlp_cpu.cpp

@@ -21,6 +21,7 @@
  * Xin Li yakumolx@gmail.com
  */
 #include <chrono>
+#include "utils.h"
 #include "mxnet-cpp/MxNetCpp.h"
 
 using namespace mxnet::cpp;
@@ -55,18 +56,17 @@ int main(int argc, char** argv) {
   const float learning_rate = 0.1;
   const float weight_decay = 1e-2;
 
-  auto train_iter = MXDataIter("MNISTIter")
-      .SetParam("image", "./mnist_data/train-images-idx3-ubyte")
-      .SetParam("label", "./mnist_data/train-labels-idx1-ubyte")
-      .SetParam("batch_size", batch_size)
-      .SetParam("flat", 1)
-      .CreateDataIter();
-  auto val_iter = MXDataIter("MNISTIter")
-      .SetParam("image", "./mnist_data/t10k-images-idx3-ubyte")
-      .SetParam("label", "./mnist_data/t10k-labels-idx1-ubyte")
-      .SetParam("batch_size", batch_size)
-      .SetParam("flat", 1)
-      .CreateDataIter();
+  std::vector<std::string> data_files = { "./data/mnist_data/train-images-idx3-ubyte",
+                                          "./data/mnist_data/train-labels-idx1-ubyte",
+                                          "./data/mnist_data/t10k-images-idx3-ubyte",
+                                          "./data/mnist_data/t10k-labels-idx1-ubyte"
+                                        };
+
+  auto train_iter =  MXDataIter("MNISTIter");
+  setDataIter(&train_iter, "Train", data_files, batch_size);
+
+  auto val_iter = MXDataIter("MNISTIter");
+  setDataIter(&val_iter, "Label", data_files, batch_size);
 
   auto net = mlp(layers);
 

cpp-package/example/mlp_gpu.cpp

@@ -21,6 +21,7 @@
  * Xin Li yakumolx@gmail.com
  */
 #include <chrono>
+#include "utils.h"
 #include "mxnet-cpp/MxNetCpp.h"
 
 using namespace mxnet::cpp;
@@ -55,18 +56,17 @@ int main(int argc, char** argv) {
   const float learning_rate = 0.1;
   const float weight_decay = 1e-2;
 
-  auto train_iter = MXDataIter("MNISTIter")
-      .SetParam("image", "./mnist_data/train-images-idx3-ubyte")
-      .SetParam("label", "./mnist_data/train-labels-idx1-ubyte")
-      .SetParam("batch_size", batch_size)
-      .SetParam("flat", 1)
-      .CreateDataIter();
-  auto val_iter = MXDataIter("MNISTIter")
-      .SetParam("image", "./mnist_data/t10k-images-idx3-ubyte")
-      .SetParam("label", "./mnist_data/t10k-labels-idx1-ubyte")
-      .SetParam("batch_size", batch_size)
-      .SetParam("flat", 1)
-      .CreateDataIter();
+  std::vector<std::string> data_files = { "./data/mnist_data/train-images-idx3-ubyte",
+                                          "./data/mnist_data/train-labels-idx1-ubyte",
+                                          "./data/mnist_data/t10k-images-idx3-ubyte",
+                                          "./data/mnist_data/t10k-labels-idx1-ubyte"
+                                        };
+
+  auto train_iter =  MXDataIter("MNISTIter");
+  setDataIter(&train_iter, "Train", data_files, batch_size);
+
+  auto val_iter = MXDataIter("MNISTIter");
+  setDataIter(&val_iter, "Label", data_files, batch_size);
 
   auto net = mlp(layers);
 

cpp-package/include/mxnet-cpp/operator.hpp

@@ -159,9 +159,11 @@ inline void Operator::Invoke(NDArray &output) {
 }
 
 inline Operator &Operator::SetInput(const std::string &name, Symbol symbol) {
-  input_keys_.push_back(name.c_str());
-  input_symbols_.push_back(symbol.GetHandle());
-  return *this;
+    if (symbol.GetHandle()) {
+      input_keys_.push_back(name.c_str());
+      input_symbols_.push_back(symbol.GetHandle());
+    }
+    return *this;
 }
 
 inline Operator &Operator::SetInput(const std::string &name, NDArray ndarray) {

cpp-package/include/mxnet-cpp/symbol.h

@@ -138,7 +138,7 @@ class Symbol {
   /*!
   * \return the SymbolHandle
   */
-  SymbolHandle GetHandle() const { return blob_ptr_->handle_; }
+  SymbolHandle GetHandle() const { return (blob_ptr_) ? blob_ptr_->handle_: NULL; }
   /*!
   * \brief construct an operator Symbol, with given input Symbol and config
   * \param name the name of the Symbol

cpp-package/tests/ci_test.sh

@@ -36,6 +36,15 @@ cp ../../build/cpp-package/example/lenet_with_mxdataiter .
 cp ../../build/cpp-package/example/resnet .
 ./resnet 5
 
+cp ../../build/cpp-package/example/mlp .
+./mlp
+
+cp ../../build/cpp-package/example/mlp_cpu .
+./mlp_cpu
+
+cp ../../build/cpp-package/example/mlp_gpu .
+./mlp_gpu
+
  cp ../../build/cpp-package/example/test_optimizer .
  ./test_optimizer