cuda 6.5 compatibility fix

Author: piiswrong

Makefile

@@ -114,9 +114,15 @@ LIB_DEP += $(DMLC_CORE)/libdmlc.a
 ALL_DEP = $(OBJ) $(EXTRA_OBJ) $(LIB_DEP)
 ifeq ($(USE_CUDA), 1)
 	ALL_DEP += $(CUOBJ) $(EXTRA_CUOBJ)
-	LDFLAGS += -lnvrtc -lcuda
+	LDFLAGS += -lcuda
 endif
 
+ifeq ($(USE_NVRTC), 1)
+	LDFLAGS += -lnvrtc
+	CFLAGS += -DMXNET_USE_NVRTC=1
+else
+	CFLAGS += -DMXNET_USE_NVRTC=0
+endif
 
 
 build/%.o: src/%.cc

include/mxnet/mxrtc.h

@@ -7,8 +7,7 @@
 #ifndef MXNET_MXRTC_H_
 #define MXNET_MXRTC_H_
 #include "./base.h"
-#if MXNET_USE_CUDA
-
+#if ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
 #include <nvrtc.h>
 #include <cuda.h>
 
@@ -88,5 +87,5 @@ class MXRtc {
 
 }  // namespace mxnet
 
-#endif  // MXNET_USE_CUDA
+#endif  // MXNET_USE_CUDA && MXNET_USE_NVRTC
 #endif  // MXNET_MXRTC_H_

make/config.mk

@@ -48,6 +48,9 @@ USE_CUDA_PATH = NONE
 # whether use CUDNN R3 library
 USE_CUDNN = 0
 
+# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
+USE_NVRTC = 0
+
 # whether use opencv during compilation
 # you can disable it, however, you will not able to use
 # imbin iterator

make/osx.mk

@@ -48,6 +48,9 @@ USE_CUDA_PATH = NONE
 # whether use CUDNN R3 library
 USE_CUDNN = 0
 
+# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
+USE_NVRTC = 0
+
 # whether use opencv during compilation
 # you can disable it, however, you will not able to use
 # imbin iterator

src/c_api/c_api.cc

@@ -1154,7 +1154,7 @@ int MXRtcCreate(char* name, mx_uint num_input, mx_uint num_output,
                 NDArrayHandle* inputs, NDArrayHandle* outputs,
                 char* kernel, RtcHandle *out) {
   API_BEGIN();
-#if MXNET_USE_CUDA
+#if ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   std::vector<std::pair<std::string, NDArray> > input, output;
   for (mx_uint i = 0; i < num_input; ++i) {
     input.push_back(std::pair<std::string, NDArray>(input_names[i],
@@ -1167,8 +1167,8 @@ int MXRtcCreate(char* name, mx_uint num_input, mx_uint num_output,
   MXRtc *rtc = new MXRtc(name, input, output, kernel);
   *out = reinterpret_cast<RtcHandle>(rtc);
 #else
-  LOG(FATAL) << "Need to compile with USE_CUDA=1 for MXRtc.";
-#endif  // MXNET_USE_CUDA
+  LOG(FATAL) << "Need to compile with USE_CUDA=1 and USE_NVRTC=1 for MXRtc.";
+#endif  // ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   API_END();
 }
 
@@ -1181,7 +1181,7 @@ int MXRtcPush(RtcHandle handle, mx_uint num_input, mx_uint num_output,
               mx_uint blockDimY,
               mx_uint blockDimZ) {
   API_BEGIN();
-#if MXNET_USE_CUDA
+#if ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   std::vector<NDArray> input, output;
   for (mx_uint i = 0; i < num_input; ++i) {
     input.push_back(*reinterpret_cast<NDArray*>(inputs[i]));
@@ -1197,18 +1197,18 @@ int MXRtcPush(RtcHandle handle, mx_uint num_input, mx_uint num_output,
                                          blockDimY,
                                          blockDimZ);
 #else
-  LOG(FATAL) << "Need to compile with USE_CUDA=1 for MXRtc.";
-#endif  // MXNET_USE_CUDA
+  LOG(FATAL) << "Need to compile with USE_CUDA=1 and USE_NVRTC=1 for MXRtc.";
+#endif  // ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   API_END();
 }
 
 int MXRtcFree(RtcHandle handle) {
   API_BEGIN();
-#if MXNET_USE_CUDA
+#if ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   delete reinterpret_cast<MXRtc*>(handle);
 #else
-  LOG(FATAL) << "Need to compile with USE_CUDA=1 for MXRtc.";
-#endif  // MXNET_USE_CUDA
+  LOG(FATAL) << "Need to compile with USE_CUDA=1 and USE_NVRTC=1 for MXRtc.";
+#endif  // ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
   API_END();
 }
 

src/common/mxrtc.cc

@@ -5,10 +5,8 @@
  * \author Junyuan Xie
  */
 #include <mxnet/mxrtc.h>
-#if MXNET_USE_CUDA
-
+#if ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))
 namespace mxnet {
-
 const std::string MXRtc::str_type = "float";
 std::unordered_map<std::string, char*> MXRtc::kernel_registry;
 
@@ -139,4 +137,4 @@ char* MXRtc::compile(const std::string& name, const std::string& code) {
 
 }  // namespace mxnet
 
-#endif  // MXNET_USE_CUDA
+#endif  // ((MXNET_USE_CUDA) && (MXNET_USE_NVRTC))