exports and imports param data in new debug tool: WatchYourStep

1 files changed, 277 insertions, 0 deletions

diff --git a/debug_tools/WatchYourStep/ptxjitplus/ptxjitplus.cpp b/debug_tools/WatchYourStep/ptxjitplus/ptxjitplus.cpp
new file mode 100644
index 0000000..9954e31
--- /dev/null
+++ b/debug_tools/WatchYourStep/ptxjitplus/ptxjitplus.cpp
@@ -0,0 +1,277 @@
+/**
+ * Copyright 1993-2015 NVIDIA Corporation.  All rights reserved.
+ *
+ * Please refer to the NVIDIA end user license agreement (EULA) associated
+ * with this source code for terms and conditions that govern your use of
+ * this software. Any use, reproduction, disclosure, or distribution of
+ * this software and related documentation outside the terms of the EULA
+ * is strictly prohibited.
+ *
+ */
+
+/*
+ * This sample uses the Driver API to just-in-time compile (JIT) a Kernel from PTX code.
+ * Additionally, this sample demonstrates the seamless interoperability capability of CUDA runtime
+ * Runtime and CUDA Driver API calls.
+ * This sample requires Compute Capability 2.0 and higher.
+ *
+ */
+
+// System includes
+#include <iostream>
+#include <math.h>
+#include <string.h>
+#include <stdio.h>
+
+// CUDA driver & runtime
+#include <cuda.h>
+#include <cuda_runtime.h>
+
+// helper functions and utilities to work with CUDA
+#include <helper_cuda.h>
+#include <helper_functions.h>  // helper for shared that are common to CUDA Samples
+
+// sample include
+#include "ptxjitplus.h"
+#include "ptxinst.h"
+
+const char *sSDKname = "PTX Just In Time (JIT) Compilation (no-qatest)";
+
+
+void ptxJIT(int argc, char **argv, CUmodule *phModule, CUfunction *phKernel, CUlinkState *lState)
+{
+    CUjit_option options[6];
+    void *optionVals[6];
+    float walltime;
+    char error_log[8192],
+         info_log[8192];
+    unsigned int logSize = 8192;
+    void *cuOut;
+    size_t outSize;
+    int myErr = 0;
+
+    // Setup linker options
+    // Return walltime from JIT compilation
+    options[0] = CU_JIT_WALL_TIME;
+    optionVals[0] = (void *) &walltime;
+    // Pass a buffer for info messages
+    options[1] = CU_JIT_INFO_LOG_BUFFER;
+    optionVals[1] = (void *) info_log;
+    // Pass the size of the info buffer
+    options[2] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
+    optionVals[2] = (void *) (long)logSize;
+    // Pass a buffer for error message
+    options[3] = CU_JIT_ERROR_LOG_BUFFER;
+    optionVals[3] = (void *) error_log;
+    // Pass the size of the error buffer
+    options[4] = CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES;
+    optionVals[4] = (void *) (long) logSize;
+    // Make the linker verbose
+    options[5] = CU_JIT_LOG_VERBOSE;
+    optionVals[5] = (void *) 1;
+
+    // Create a pending linker invocation
+    checkCudaErrors(cuLinkCreate(6,options, optionVals, lState));
+
+    if (sizeof(void *)==4)
+    {
+        // Load the PTX from the string myPtx32
+        printf("Loading myPtx32[] program\n");
+        // PTX May also be loaded from file, as per below.
+        myErr = cuLinkAddData(*lState, CU_JIT_INPUT_PTX, (void *)myPtx32, strlen(myPtx32)+1, 0, 0, 0, 0);
+    }
+    else
+    {
+        // Load the PTX from the string myPtx (64-bit)
+        printf("Loading myPtx[] program\n");
+        //myErr = cuLinkAddData(*lState, CU_JIT_INPUT_PTX, (void *)myPtx64, strlen(myPtx64)+1, 0, 0, 0, 0);
+        // PTX May also be loaded from file, as per below.
+        myErr = cuLinkAddFile(*lState, CU_JIT_INPUT_PTX, "myPtx64.ptx",0,0,0);
+    }
+
+    if (myErr != CUDA_SUCCESS)
+    {
+        // Errors will be put in error_log, per CU_JIT_ERROR_LOG_BUFFER option above.
+        fprintf(stderr,"PTX Linker Error:\n%s\n",error_log);
+    }
+
+    // Complete the linker step
+    checkCudaErrors(cuLinkComplete(*lState, &cuOut, &outSize));
+
+    // Linker walltime and info_log were requested in options above.
+    printf("CUDA Link Completed in %fms. Linker Output:\n%s\n",walltime,info_log);
+
+    // Load resulting cuBin into module
+    checkCudaErrors(cuModuleLoadData(phModule, cuOut));
+
+    // Locate the kernel entry poin
+    checkCudaErrors(cuModuleGetFunction(phKernel, *phModule, "_Z8myKernelPi"));
+
+    // Destroy the linker invocation
+    checkCudaErrors(cuLinkDestroy(*lState));
+}
+
+void* initializeData(std::vector< std::pair<size_t, unsigned char*> >& param_data)
+{
+    char *wys_exec_path = getenv("WYS_EXEC_PATH");
+    assert(wys_exec_path!=NULL);
+    char *wys_exec_name = getenv("WYS_EXEC_NAME");
+    assert(wys_exec_name!=NULL);
+    std::string path_to_search = std::string(wys_exec_path) + "/" + wys_exec_name + ".*.ptx";
+    char* wys_launch_num(getenv("WYS_LAUNCH_NUM"));
+    assert(wys_launch_num!=NULL);
+    std::string filename = std::string("../data/params.config") + wys_launch_num;
+
+    //instrument ptx
+    FILE *fin = fopen(filename.c_str(), "r");
+    assert(fin);
+    char buff[1024];
+    fscanf(fin, "%s\n", buff);
+    //void *retval = instrument_ptx_from_function(std::string(buff), path_to_search);
+    void *retval = NULL;
+    printf("%s\n", buff);
+    //fill data structure to pass in params later
+    while (!feof(fin)){
+        int err;
+        size_t len;
+        unsigned val;
+        err = fscanf(fin, "%lu : ", &len);
+        assert( err==1 );
+        printf("%lu : ", len);
+        unsigned char params[len];
+        for (size_t i=0; i<len; i++)
+        {
+            err = fscanf(fin, "%u ", &val);
+            assert( err==1 );
+            printf("%u ", val);
+            params[i] = (unsigned char) val;
+        }
+        param_data.push_back(std::pair<size_t, unsigned char*>(len, params));
+        err = fscanf(fin, "\n");
+        assert(err==0);
+        printf("\n");
+    }
+    
+    fclose(fin);
+    return retval;
+}
+
+int main(int argc, char **argv)
+{
+    const unsigned int nThreads = 256;
+    const unsigned int nBlocks  = 64;
+    const size_t memSize = nThreads * nBlocks * sizeof(int);
+
+    CUmodule     hModule  = 0;
+    CUfunction   hKernel  = 0;
+    CUlinkState  lState;
+    int         *d_data   = 0;
+    int         *h_data   = 0;
+
+    int cuda_device = 0;
+    cudaDeviceProp deviceProp;
+
+    printf("[%s] - Starting...\n", sSDKname);
+    std::vector< std::pair<size_t, unsigned char*> > param_data;
+    void* storedReg = initializeData(param_data);
+
+    if (checkCmdLineFlag(argc, (const char **)argv, "device"))
+    {
+        cuda_device = getCmdLineArgumentInt(argc, (const char **)argv, "device=");
+
+        if (cuda_device < 0)
+        {
+            printf("Invalid command line parameters\n");
+            exit(EXIT_FAILURE);
+        }
+        else
+        {
+            printf("cuda_device = %d\n", cuda_device);
+            cuda_device = gpuDeviceInit(cuda_device);
+
+            if (cuda_device < 0)
+            {
+                printf("No CUDA Capable devices found, exiting...\n");
+                exit(EXIT_FAILURE);
+            }
+        }
+    }
+    else
+    {
+        // Otherwise pick the device with the highest Gflops/s
+        cuda_device = gpuGetMaxGflopsDeviceId();
+    }
+
+    checkCudaErrors(cudaSetDevice(cuda_device));
+    checkCudaErrors(cudaGetDeviceProperties(&deviceProp, cuda_device));
+    printf("> Using CUDA device [%d]: %s\n", cuda_device, deviceProp.name);
+
+    if (deviceProp.major < 2)
+    {
+        fprintf(stderr, "Compute Capability 2.0 or greater required for this sample.\n");
+        fprintf(stderr, "Maximum Compute Capability of device[%d] is %d.%d.\n", cuda_device,deviceProp.major,deviceProp.minor);
+        exit(EXIT_WAIVED);
+    }
+
+    // Allocate memory on host and device (Runtime API)
+    // NOTE: The runtime API will create the GPU Context implicitly here
+    if ((h_data = (int *)malloc(memSize)) == NULL)
+    {
+        std::cerr << "Could not allocate host memory" << std::endl;
+        exit(EXIT_FAILURE);
+    }
+
+    checkCudaErrors(cudaMalloc(&d_data, memSize));
+
+    // JIT Compile the Kernel from PTX and get the Handles (Driver API)
+    ptxJIT(argc, argv, &hModule, &hKernel, &lState);
+
+    // Set the kernel parameters (Driver API)
+
+    checkCudaErrors(cuFuncSetBlockShape(hKernel, nThreads, 1, 1));
+    //param_data
+    int paramOffset = 0;
+    checkCudaErrors(cuParamSetv(hKernel, paramOffset, &d_data, sizeof(d_data)));
+    paramOffset += sizeof(d_data);
+    checkCudaErrors(cuParamSetSize(hKernel, paramOffset));
+
+    // Launch the kernel (Driver API_)
+    checkCudaErrors(cuLaunchGrid(hKernel, nBlocks, 1));
+    std::cout << "CUDA kernel launched" << std::endl;
+
+    // Copy the result back to the host
+    checkCudaErrors(cudaMemcpy(h_data, d_data, memSize, cudaMemcpyDeviceToHost));
+
+    // Check the result
+    bool dataGood = true;
+
+    for (unsigned int i = 0 ; dataGood && i < nBlocks * nThreads ; i++)
+    {
+        if (h_data[i] != (int)i)
+        {
+            std::cerr << "Error at " << i << std::endl;
+            dataGood = false;
+        }
+    }
+
+    // Cleanup
+    if (d_data)
+    {
+        checkCudaErrors(cudaFree(d_data));
+        d_data = 0;
+    }
+
+    if (h_data)
+    {
+        free(h_data);
+        h_data = 0;
+    }
+
+    if (hModule)
+    {
+        checkCudaErrors(cuModuleUnload(hModule));
+        hModule = 0;
+    }
+
+    return dataGood ? EXIT_SUCCESS : EXIT_FAILURE;
+}