#if defined(__unix__)
#include <unistd.h>
#include <fcntl.h>
+#include <armnn/Conversion.hpp>
+
#endif
namespace armnnUtils
int Ioctl(Socket s, unsigned long int cmd, void* arg)
{
-#if defined(__ANDROID__)
+#if defined(__unix__)
+ ARMNN_NO_CONVERSION_WARN_BEGIN
return ioctl(s, static_cast<int>(cmd), arg);
-#elif defined(__unix__)
- return ioctl(s, cmd, arg);
+ ARMNN_NO_CONVERSION_WARN_END
#elif defined(_MSC_VER)
return ioctlsocket(s, cmd, static_cast<u_long*>(arg));
#endif
#include <boost/cast.hpp>
#include <vector>
#include <iomanip>
+#include <string.h>
using namespace armnnUtils;
//
#include "ConnectionHandler.hpp"
+#include <string.h>
+
using namespace armnnUtils;
namespace armnnProfiling
namespace {
// helper for setting the dimensions in prototxt
void dimsHelper(const std::vector<int>& dims, std::string& text){
- for(u_int i = 0; i < dims.size(); ++i) {
+ for(unsigned int i = 0; i < dims.size(); ++i) {
text.append(R"(dim {
size: )");
text.append(std::to_string(dims[i]));
namespace {
// helper for setting the dimensions in prototxt
void shapeHelper(const armnn::TensorShape& shape, std::string& text){
- for(u_int i = 0; i < shape.GetNumDimensions(); ++i) {
+ for(unsigned int i = 0; i < shape.GetNumDimensions(); ++i) {
text.append(R"(dim {
size: )");
text.append(std::to_string(shape[i]));
[&quantizationScale, &quantizationOffset](const std::string & s)
{
return boost::numeric_cast<uint8_t>(
- armnn::Quantize<u_int8_t>(std::stof(s),
+ armnn::Quantize<uint8_t>(std::stof(s),
quantizationScale,
quantizationOffset));
});