rockm compile success

rin/miner/Dockerfile.rocm-complete

@@ -92,3 +92,4 @@ echo "Available algorithms:"\n\
 # Default command
 CMD ["sh", "-c", "echo 'Build completed successfully! Binaries available in /output/' && ls -la /output/"]
 
+

rin/miner/Dockerfile.rocm-lightweight

@@ -92,3 +92,4 @@ ls -la *.so\n\
 # Default command
 CMD ["sh", "-c", "echo 'ROCm GPU build completed successfully!' && ls -la /output/"]
 
+

rin/miner/Dockerfile.rocm-official

@@ -128,3 +128,4 @@ rinhash_cuda(input, input_len, output);\n\
 # Default command
 CMD ["sh", "-c", "echo 'ROCm GPU build completed successfully!' && ls -la /output/ && echo '' && echo 'Integration guide available in INTEGRATION.md'"]
 
+

rin/miner/build-complete-system.sh

@@ -293,3 +293,4 @@ echo "  3. For GPU acceleration, install ROCm runtime and use the libraries"
 echo ""
 
 echo "RinHash ROCm GPU build system completed successfully!"
+

rin/miner/build-cpuminer-rocm.sh

@@ -200,3 +200,4 @@ else
 fi
 
 echo "cpuminer build completed successfully!"
+

rin/miner/build-cpuminer-simple.sh

@@ -223,3 +223,4 @@ else
 fi
 
 echo "cpuminer build completed successfully!"
+

rin/miner/build-rocm-complete.sh

@@ -114,3 +114,4 @@ fi
 
 echo "ROCm GPU build completed successfully!"
 
+

rin/miner/build-rocm-lightweight.sh

@@ -111,3 +111,4 @@ fi
 
 echo "ROCm GPU build completed successfully!"
 
+

rin/miner/build-rocm-official.sh

@@ -146,3 +146,4 @@ echo ""
 echo "For more information about ROCm Docker containers, visit:"
 echo "https://github.com/ROCm/ROCm-docker"
 
+

rin/miner/gpu/CMakeLists.txt

@@ -30,3 +30,4 @@ target_compile_options(rinhash-gpu-miner PRIVATE -O3 -march=native)
 
 # Install target
 install(TARGETS rinhash-gpu-miner DESTINATION bin)
+

rin/miner/gpu/RinHash-hip/argon2d_device.cuh

@@ -1,5 +1,5 @@
-#include <hip/hip_runtime.h>
-#include <hip/hip_runtime_api.h>
+#include <cuda_runtime.h>
+#include <device_launch_parameters.h>
 #include <stdint.h>
 #include <string.h>
 #include <stdio.h>

rin/miner/gpu/rinhash-gpu-miner.cpp

@@ -7,13 +7,14 @@
 #include <dlfcn.h>
 #include <cstring>
 #include <cstdint>
+#include <filesystem>
 
 // HIP/ROCm runtime check (using dlopen, no direct headers needed)
 
 // Forward declarations for GPU functions
 extern "C" {
-    void rinhash_cuda(const uint8_t* input, size_t input_len, uint8_t* output);
-    void rinhash_cuda_batch(const uint8_t* block_headers, size_t block_header_len,
+    void rinhash_hip(const uint8_t* input, size_t input_len, uint8_t* output);
+    void rinhash_hip_batch(const uint8_t* block_headers, size_t block_header_len,
                            uint8_t* outputs, uint32_t num_blocks);
     void RinHash(const uint32_t* version, const uint32_t* prev_block,
                 const uint32_t* merkle_root, const uint32_t* timestamp,
@@ -26,8 +27,8 @@ private:
     bool gpu_available;
 
     // Function pointers for GPU operations
-    decltype(&rinhash_cuda) gpu_rinhash;
-    decltype(&rinhash_cuda_batch) gpu_rinhash_batch;
+    decltype(&rinhash_hip) gpu_rinhash;
+    decltype(&rinhash_hip_batch) gpu_rinhash_batch;
     decltype(&RinHash) gpu_RinHash;
 
     // Mining parameters
@@ -61,30 +62,38 @@ public:
     }
 
     bool loadGPULibrary() {
-        // Try to load the GPU library
-        gpu_lib_handle = dlopen("./rocm-direct-output/gpu-libs/librinhash_hip.so", RTLD_LAZY);
-        if (!gpu_lib_handle) {
-            std::cerr << "Failed to load GPU library: " << dlerror() << std::endl;
-            std::cerr << "Make sure to run: sudo cp rocm-direct-output/gpu-libs/librinhash_hip.so /usr/local/lib/" << std::endl;
-            return false;
-        }
+            // Try to load the GPU library
+    std::cout << "Attempting to load GPU library..." << std::endl;
+    gpu_lib_handle = dlopen("./rocm-direct-output/gpu-libs/librinhash_hip.so", RTLD_LAZY);
+    if (!gpu_lib_handle) {
+        std::cerr << "Failed to load GPU library: " << dlerror() << std::endl;
+        std::cerr << "Make sure to run: sudo cp rocm-direct-output/gpu-libs/librinhash_hip.so /usr/local/lib/" << std::endl;
+        std::cerr << "Current working directory: " << std::filesystem::current_path() << std::endl;
+        return false;
+    }
+    std::cout << "GPU library loaded successfully!" << std::endl;
 
-        // Load function pointers
-        gpu_rinhash = (decltype(gpu_rinhash))dlsym(gpu_lib_handle, "rinhash_cuda");
-        gpu_rinhash_batch = (decltype(gpu_rinhash_batch))dlsym(gpu_lib_handle, "rinhash_cuda_batch");
-        gpu_RinHash = (decltype(gpu_RinHash))dlsym(gpu_lib_handle, "RinHash");
+            // Load function pointers
+    std::cout << "Loading GPU functions..." << std::endl;
+    gpu_rinhash = (decltype(gpu_rinhash))dlsym(gpu_lib_handle, "rinhash_hip");
+    gpu_rinhash_batch = (decltype(gpu_rinhash_batch))dlsym(gpu_lib_handle, "rinhash_hip_batch");
+    gpu_RinHash = (decltype(gpu_RinHash))dlsym(gpu_lib_handle, "RinHash");
 
-        if (!gpu_rinhash || !gpu_rinhash_batch || !gpu_RinHash) {
-            std::cerr << "Failed to load GPU functions: " << dlerror() << std::endl;
-            dlclose(gpu_lib_handle);
-            gpu_lib_handle = nullptr;
-            return false;
-        }
+    if (!gpu_rinhash) std::cerr << "Failed to load rinhash_hip" << std::endl;
+    if (!gpu_rinhash_batch) std::cerr << "Failed to load rinhash_hip_batch" << std::endl;
+    if (!gpu_RinHash) std::cerr << "Failed to load RinHash" << std::endl;
+
+    if (!gpu_rinhash || !gpu_rinhash_batch || !gpu_RinHash) {
+        std::cerr << "Failed to load GPU functions: " << dlerror() << std::endl;
+        dlclose(gpu_lib_handle);
+        gpu_lib_handle = nullptr;
+        return false;
+    }
+    std::cout << "GPU functions loaded successfully!" << std::endl;
 
         // GPU availability will be verified by successful library loading
         // and function calls working properly
 
-        std::cout << "GPU library loaded successfully!" << std::endl;
         std::cout << "GPU functions ready for mining" << std::endl;
 
         gpu_available = true;
@@ -149,7 +158,12 @@ public:
         }
 
         // Process batch on GPU
-        gpu_rinhash_batch(block_headers.data(), block_header_len, hashes.data(), num_nonces);
+        if (gpu_rinhash_batch) {
+            gpu_rinhash_batch(block_headers.data(), block_header_len, hashes.data(), num_nonces);
+        } else {
+            std::cerr << "GPU batch function not available" << std::endl;
+            return false;
+        }
         hashes_computed += num_nonces;
 
         // Check results