[windows] Add experimental windows build

Applications/MNIST/jni/main.cpp

@@ -30,6 +30,7 @@
 #include <iomanip>
 #include <iostream>
 #include <memory>
+#include <numeric>
 #include <random>
 #include <sstream>
 #include <vector>

Applications/MNIST/jni/meson.build

@@ -1,7 +1,8 @@
 res_path = meson.current_source_dir() / '..' / 'res'
 nntr_mnist_resdir = nntr_app_resdir / 'MNIST'
 
-run_command('cp', '-lr', res_path, nntr_mnist_resdir)
+#run_command('cp', '-lr', res_path, nntr_mnist_resdir)
+run_command('cmd.exe',  'xcopy', res_path, nntr_mnist_resdir, '/E/H')
 
 mnist_sources = [
   'main.cpp'

Applications/ProductRatings/jni/main.cpp

@@ -17,6 +17,7 @@
 #include <cmath>
 #include <fstream>
 #include <iostream>
+#include <numeric>
 #include <random>
 #include <sstream>
 
@@ -81,8 +82,8 @@ bool getData(std::ifstream &F, float *input, float *label, unsigned int id) {
     return false;
 
   std::istringstream buffer(temp);
-  uint *input_int = (uint *)input;
-  uint x;
+  unsigned int *input_int = (unsigned int *)input;
+  unsigned int x;
   for (unsigned int j = 0; j < feature_size; ++j) {
     buffer >> x;
     input_int[j] = x;

Applications/ProductRatings/jni/meson.build

@@ -1,5 +1,6 @@
 res_path = meson.current_source_dir() / '..' / 'res'
-run_command('cp', '-lr', res_path, nntr_app_resdir / 'ProductRatings')
+#run_command('cp', '-lr', res_path, nntr_app_resdir / 'ProductRatings')
+run_command('cmd.exe',  'xcopy', res_path, nntr_app_resdir / 'ProductRatings', '/E/H')
 
 e = executable('nntrainer_product_ratings',
   'main.cpp',

Applications/meson.build

@@ -1,33 +1,34 @@
 nntr_app_resdir = nntrainer_resdir / 'app'
-run_command('mkdir', '-p', nntr_app_resdir)
+#run_command('mkdir', '-p', nntr_app_resdir)
+run_command('cmd.exe', '/C', 'mkdir', nntr_app_resdir)
 
 subdir('utils')
-subdir('KNN/jni')
-subdir('LogisticRegression/jni')
-if enable_ccapi
-  subdir('MNIST/jni')
-  if get_option('enable-fp16')
-    subdir('MixedPrecision/jni')
-  endif
-endif
-subdir('VGG/jni')
-subdir('Resnet/jni')
-subdir('YOLOv2/jni')
-subdir('YOLOv3/jni')
-subdir('LLaMA/jni')
-subdir('Multi_input/jni')
-subdir('ReinforcementLearning/DeepQ/jni')
-subdir('TransferLearning/CIFAR_Classification/jni')
-# if enable_capi
-#   subdir('TransferLearning/Draw_Classification/jni')
+# subdir('KNN/jni')
+# subdir('LogisticRegression/jni')
+ if enable_ccapi
+   subdir('MNIST/jni')
+#   if get_option('enable-fp16')
+#     subdir('MixedPrecision/jni')
+   endif
 # endif
-subdir('Custom')
+# subdir('VGG/jni')
+# subdir('Resnet/jni')
+# subdir('YOLOv2/jni')
+# subdir('YOLOv3/jni')
+# subdir('LLaMA/jni')
+# subdir('Multi_input/jni')
+# subdir('ReinforcementLearning/DeepQ/jni')
+# subdir('TransferLearning/CIFAR_Classification/jni')
+# # if enable_capi
+# #   subdir('TransferLearning/Draw_Classification/jni')
+# # endif
+# subdir('Custom')
 subdir('ProductRatings/jni')
-subdir('AlexNet/jni')
-subdir('Layers/jni')
-if get_option('enable-tflite-backbone')
-  subdir('SimpleShot')
-endif
-subdir('PicoGPT/jni')
+# subdir('AlexNet/jni')
+# subdir('Layers/jni')
+# if get_option('enable-tflite-backbone')
+#   subdir('SimpleShot')
+# endif
+# subdir('PicoGPT/jni')
 
-subdir('SimpleFC/jni')
+# subdir('SimpleFC/jni')

Applications/utils/jni/bitmap_helpers.cpp

@@ -23,7 +23,7 @@ limitations under the License.
 #include <fstream>
 #include <iostream>
 
-#include <unistd.h> // NOLINT(build/include_order)
+//#include <unistd.h> // NOLINT(build/include_order)
 
 #include "bitmap_helpers.h"
 

api/capi/include/nntrainer_internal.h

@@ -109,7 +109,7 @@ extern "C" {
  * @note model mutex must be locked before layer lock, if model lock is needed
  */
 typedef struct {
-  uint magic;                              /**< magic number */
+  unsigned int magic;                              /**< magic number */
   std::shared_ptr<ml::train::Layer> layer; /**< layer object */
   bool in_use;                             /**< in_use flag */
   std::mutex m;                            /**< mutex for the optimizer */
@@ -121,7 +121,7 @@ typedef struct {
  * optimizer lock is needed
  */
 typedef struct {
-  uint magic;
+  unsigned int magic;
   std::shared_ptr<ml::train::LearningRateScheduler> lr_scheduler;
   bool in_use;
   std::mutex m;
@@ -133,7 +133,7 @@ typedef struct {
  * needed
  */
 typedef struct {
-  uint magic;
+  unsigned int magic;
   std::shared_ptr<ml::train::Optimizer> optimizer;
   ml_train_lr_scheduler *lr_scheduler;
   bool in_use;
@@ -146,7 +146,7 @@ typedef struct {
  * @note model mutex must be locked before dataset lock, if model lock is needed
  */
 typedef struct {
-  uint magic; /**< magic number */
+  unsigned int magic; /**< magic number */
   std::array<std::shared_ptr<ml::train::Dataset>, 3>
     dataset;    /**< dataset object */
   bool in_use;  /**< in_use flag */
@@ -158,7 +158,7 @@ typedef struct {
  * @since_tizen 6.0
  */
 typedef struct {
-  uint magic;                              /**< magic number */
+  unsigned int magic;                              /**< magic number */
   std::shared_ptr<ml::train::Model> model; /**< model object */
   std::unordered_map<std::string, ml_train_layer *>
     layers_map;                  /**< layers map */

api/ccapi/include/tensor_dim.h

@@ -278,7 +278,7 @@ class TensorDim {
   /**
    * @brief  get data type size
    */
-  uint getDataTypeSize() const;
+  unsigned int getDataTypeSize() const;
 
   /**
    * @brief Set the Dim Flag to retrieve effective dimension