3 Replies Latest reply on Dec 30, 2011 6:01 AM by doug65536

    Compile fails, and useless build info is produced

    doug65536
      Works on Intel/CPU, AMD/CPU, Nvidia/GPU, fails on AMD/GPU

      As stated in the topic summary, my program works on Intel's CPU OpenCL, AMD CPU OpenCL, Nvidia (GTX580) GPU, but fails with error -11 (CL_BUILD_PROGRAM_FAILURE) on AMD GPU (HD 5770).

      I have attached "code" to this posting, which is the output of my program. The kernel source code being compiled starts at the line that says "kernel:".

      AMD's compiler build log is:

      calclCompile failedError: Creating kernel DCT_EncodeBlocks failed!

      To work around bugs in the NVidia OpenCL implementation, I resorted to compiling two lookup tables right into the source code. Each of them are 16KB, for a total of 32KB of lookup table data in __constant memory (well within the limit, and for a given __kernel invocation, only one of the tables are referenced). In any case, this could (should?) help the compiler build better code, since the compiler can "see" the values in the constant arrays.

      I have been rewriting and repeating work on this kernel back and forth for days, trying to get it to work across Intel/CPU, AMD/GPU, and NVidia/GPU OpenCL implementations and this is the closest I have managed to get it to fully working across all those platforms.

      I just updated the AMD drivers to the latest. Version 11.12 I believe. I would check but you know how hard it is to check any vendors display drivers, with every single kernel component using some random version number that is unrelated to the driver version.

      I would be happy to zip up the whole VS2K10 project for AMD to use to repro/debug on their own machines, but I don't see a way to attach or submit files.

      Thanks.

       

      Checking for OpenCL support __HrLoadAllImportsForDll hr=0 Getting platforms err=0 ------------------------------------------ platformProfile=FULL_PROFILE, err=0 platformVendor=Advanced Micro Devices, Inc., err=0 platformName=AMD Accelerated Parallel Processing, err=0 platformVer=OpenCL 1.1 AMD-APP (831.4), err=0 platformExt=cl_khr_icd cl_amd_event_callback cl_amd_offline_devices cl_khr_d3d10_sharing, err=0 OpenCL version=1.1 ------------------------------------------ Creating context err=0 Getting devices err=0 ------------------------------------------ Using platform (AMD Accelerated Parallel Processing) Creating command queue for each device ------------------------------------------ Using device: deviceName=Juniper, err=0 deviceVer=OpenCL 1.1 AMD-APP (831.4), err=0 Can run kernels=Yes err=0 Maximum const buffer size: 65536, err=0 Maximum const args: 8, err=0 Max compute units: 10, err=0 Native float vector width: 4, err=0 err=0 ------------------------------------------ Creating DCT buffer Creating IDCT buffer Loading program source code kernel: __constant float8 dctTable[] = { (float8)(+1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f), (float8)(+1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f), (float8)(+1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f), (float8)(+1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f), (float8)(+1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f, +1.250000000e-001f), (float8)(+1.250000000e-001f, 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+4.783526435e-002f), (float8)(+1.249999925e-001f, -3.448742256e-002f, -1.633203626e-001f, +9.821183980e-002f, +1.249999925e-001f, -1.469844729e-001f, -6.764958054e-002f, +1.733799726e-001f), (float8)(-1.733799875e-001f, +4.783543199e-002f, +2.265318632e-001f, -1.362237334e-001f, -1.733799875e-001f, +2.038733363e-001f, +9.383267164e-002f, -2.404849380e-001f), (float8)(+1.633203775e-001f, -4.505999014e-002f, -2.133883536e-001f, +1.283199638e-001f, +1.633203775e-001f, -1.920444816e-001f, -8.838844299e-002f, +2.265318632e-001f), (float8)(-1.469844729e-001f, +4.055292532e-002f, +1.920444667e-001f, -1.154849306e-001f, -1.469844729e-001f, +1.728354990e-001f, +7.954750955e-002f, -2.038733214e-001f), (float8)(+1.250000000e-001f, -3.448742628e-002f, -1.633203775e-001f, +9.821184725e-002f, +1.250000000e-001f, -1.469844878e-001f, -6.764958799e-002f, +1.733799875e-001f), (float8)(-9.821183980e-002f, +2.709658630e-002f, +1.283199489e-001f, -7.716452330e-002f, -9.821183980e-002f, +1.154849306e-001f, +5.315192044e-002f, -1.362237334e-001f), (float8)(+6.764959544e-002f, -1.866448112e-002f, -8.838845044e-002f, +5.315193161e-002f, +6.764959544e-002f, -7.954752445e-002f, -3.661173582e-002f, +9.383267909e-002f), (float8)(-3.448730707e-002f, +9.515026584e-003f, +4.505983740e-002f, -2.709649503e-002f, -3.448730707e-002f, +4.055279121e-002f, +1.866441593e-002f, -4.783526808e-002f), (float8)(+1.249999925e-001f, -9.821189195e-002f, -6.764945388e-002f, +1.733799726e-001f, -1.250000745e-001f, -3.448723629e-002f, +1.633203328e-001f, -1.469845325e-001f), (float8)(-1.733799875e-001f, +1.362238079e-001f, +9.383250028e-002f, -2.404849380e-001f, +1.733801067e-001f, +4.783517495e-002f, -2.265318185e-001f, +2.038734257e-001f), (float8)(+1.633203775e-001f, -1.283200234e-001f, -8.838827908e-002f, +2.265318632e-001f, -1.633204818e-001f, -4.505975172e-002f, +2.133883089e-001f, -1.920445710e-001f), (float8)(-1.469844729e-001f, +1.154849902e-001f, +7.954736054e-002f, -2.038733214e-001f, +1.469845772e-001f, +4.055270925e-002f, -1.920444369e-001f, +1.728355736e-001f), (float8)(+1.250000000e-001f, -9.821189940e-002f, -6.764946133e-002f, +1.733799875e-001f, -1.250000894e-001f, -3.448724002e-002f, +1.633203477e-001f, -1.469845474e-001f), (float8)(-9.821183980e-002f, +7.716456801e-002f, +5.315182358e-002f, -1.362237334e-001f, +9.821190685e-002f, +2.709644102e-002f, -1.283199191e-001f, +1.154849827e-001f), (float8)(+6.764959544e-002f, -5.315195769e-002f, -3.661166877e-002f, +9.383267909e-002f, -6.764964014e-002f, -1.866438240e-002f, +8.838843554e-002f, -7.954756171e-002f), (float8)(-3.448730707e-002f, +2.709650993e-002f, +1.866438054e-002f, -4.783526808e-002f, +3.448732942e-002f, +9.514975362e-003f, -4.505982623e-002f, +4.055280983e-002f), (float8)(+1.249999925e-001f, -1.469844580e-001f, +6.764954329e-002f, +3.448737785e-002f, -1.249999553e-001f, +1.733799875e-001f, -1.633204073e-001f, +9.821202606e-002f), (float8)(-1.733799875e-001f, +2.038733065e-001f, -9.383261204e-002f, -4.783536866e-002f, +1.733799279e-001f, -2.404849529e-001f, +2.265319228e-001f, -1.362240016e-001f), (float8)(+1.633203775e-001f, -1.920444518e-001f, +8.838839084e-002f, +4.505993053e-002f, -1.633203179e-001f, +2.265318781e-001f, -2.133883983e-001f, +1.283202022e-001f), (float8)(-1.469844729e-001f, +1.728354692e-001f, -7.954746485e-002f, -4.055287316e-002f, +1.469844282e-001f, -2.038733363e-001f, +1.920445263e-001f, -1.154851541e-001f), (float8)(+1.250000000e-001f, -1.469844729e-001f, +6.764955074e-002f, +3.448738158e-002f, -1.249999627e-001f, +1.733800024e-001f, -1.633204222e-001f, +9.821203351e-002f), (float8)(-9.821183980e-002f, +1.154849157e-001f, -5.315189064e-002f, -2.709655091e-002f, +9.821180254e-002f, -1.362237334e-001f, +1.283199787e-001f, -7.716467232e-002f), (float8)(+6.764959544e-002f, -7.954750955e-002f, +3.661171347e-002f, +1.866445690e-002f, -6.764957309e-002f, +9.383268654e-002f, -8.838847280e-002f, +5.315203220e-002f), (float8)(-3.448730707e-002f, +4.055278376e-002f, -1.866440475e-002f, -9.515014477e-003f, +3.448729590e-002f, -4.783527181e-002f, +4.505984858e-002f, -2.709654719e-002f), (float8)(+1.249999925e-001f, -1.733799875e-001f, +1.633203775e-001f, -1.469844729e-001f, +1.250000000e-001f, -9.821183980e-002f, +6.764959544e-002f, -3.448730707e-002f), (float8)(-1.733799875e-001f, +2.404849529e-001f, -2.265318781e-001f, +2.038733363e-001f, -1.733800024e-001f, +1.362237334e-001f, -9.383268654e-002f, +4.783527181e-002f), (float8)(+1.633203775e-001f, -2.265318781e-001f, +2.133883685e-001f, -1.920444816e-001f, +1.633203924e-001f, -1.283199638e-001f, +8.838845789e-002f, -4.505984113e-002f), (float8)(-1.469844729e-001f, +2.038733363e-001f, -1.920444816e-001f, +1.728354990e-001f, -1.469844878e-001f, +1.154849306e-001f, -7.954752445e-002f, +4.055279121e-002f), (float8)(+1.250000000e-001f, -1.733800024e-001f, +1.633203924e-001f, -1.469844878e-001f, +1.250000149e-001f, -9.821184725e-002f, +6.764960289e-002f, -3.448731080e-002f), (float8)(-9.821183980e-002f, +1.362237334e-001f, -1.283199638e-001f, +1.154849306e-001f, -9.821184725e-002f, +7.716452330e-002f, -5.315193161e-002f, +2.709649503e-002f), (float8)(+6.764959544e-002f, -9.383268654e-002f, +8.838845789e-002f, -7.954752445e-002f, +6.764960289e-002f, -5.315193161e-002f, +3.661174327e-002f, -1.866441965e-002f), (float8)(-3.448730707e-002f, +4.783527181e-002f, -4.505984113e-002f, +4.055279121e-002f, -3.448731080e-002f, +2.709649503e-002f, -1.866441965e-002f, +9.514994919e-003f) }; #define Q(v0,v1,v2,v3,v4,v5,v6,v7) \ (float8) ( \ 1.0f/v0, 1.0f/v1, 1.0f/v2, 1.0f/v3, \ 1.0f/v4, 1.0f/v5, 1.0f/v6, 1.0f/v7 \ ) #define DQ(v0,v1,v2,v3,v4,v5,v6,v7) \ (float8) ( (v0),(v1),(v2),(v3),(v4),(v5),(v6),(v7) ) #define QUANT_TYPE float8 __constant QUANT_TYPE quant[] = { Q( 16.0f, 11.0f, 10.0f, 16.0f, 24.0f, 40.0f, 51.0f, 61.0f) , Q( 12.0f, 12.0f, 14.0f, 19.0f, 26.0f, 58.0f, 60.0f, 55.0f) , Q( 14.0f, 13.0f, 16.0f, 24.0f, 40.0f, 57.0f, 69.0f, 56.0f) , Q( 14.0f, 17.0f, 22.0f, 29.0f, 51.0f, 87.0f, 80.0f, 62.0f) , Q( 18.0f, 22.0f, 37.0f, 56.0f, 68.0f,109.0f,103.0f, 77.0f) , Q( 24.0f, 35.0f, 55.0f, 64.0f, 81.0f,104.0f,113.0f, 92.0f) , Q( 49.0f, 64.0f, 78.0f, 87.0f,103.0f,121.0f,120.0f,101.0f) , Q( 72.0f, 92.0f, 95.0f, 98.0f,112.0f,100.0f,103.0f, 99.0f) }; __constant QUANT_TYPE dequant[] = { DQ( 16.0f, 11.0f, 10.0f, 16.0f, 24.0f, 40.0f, 51.0f, 61.0f) , DQ( 12.0f, 12.0f, 14.0f, 19.0f, 26.0f, 58.0f, 60.0f, 55.0f) , DQ( 14.0f, 13.0f, 16.0f, 24.0f, 40.0f, 57.0f, 69.0f, 56.0f) , DQ( 14.0f, 17.0f, 22.0f, 29.0f, 51.0f, 87.0f, 80.0f, 62.0f) , DQ( 18.0f, 22.0f, 37.0f, 56.0f, 68.0f,109.0f,103.0f, 77.0f) , DQ( 24.0f, 35.0f, 55.0f, 64.0f, 81.0f,104.0f,113.0f, 92.0f) , DQ( 49.0f, 64.0f, 78.0f, 87.0f,103.0f,121.0f,120.0f,101.0f) , DQ( 72.0f, 92.0f, 95.0f, 98.0f,112.0f,100.0f,103.0f, 99.0f) }; #undef DQ #undef Q __constant float ybrMatrix[3][4] = { { 0.257f, 0.504f, 0.098f, 16.0f }, { -0.148f, -0.291f, 0.439f, 128.0f }, { 0.439f, -0.368f, -0.071f, 128.0f } }; // DCT // 64 MADs + 64 MUL void DCT_FCalc( __global char8 *result, const float8 *pixels) { __constant float8 * coeff1 = dctTable; float fResults[8]; for (int v = 0; v < 8; ++v) { for (int u = 0; u < 8; ++u) { float8 t; t = pixels[0] * coeff1[0]; for (int y = 1; y < 8; ++y) { //t = mad(pixels[y], coeff1[y], t); t += pixels[y] * coeff1[y]; } coeff1 += 8; t.s0123 += t.s4567; t.s01 += t.s23; t.s0 += t.s1; fResults[u] = t.s0; } result[v] = convert_char8_sat_rte( vload8(0, fResults) * quant[v]); } } #if 0 void DCT_ICalc( __global float *result, const int *matrix, __constant float8 *table) { __constant float8 *coeff1 = table; for (int y = 0; y < 8; ++y) { for (int x = 0; x < 8; ++x) { float tv = 0.0f; for (int v = 0; v < 8; ++v) { for (int u = 0; u < 8; ++u) { tv = mad((float)matrix[v*8+u], coeff1[v*8+u], tv); } } result[y*8+x] = tv; coeff1 += 64; } } } #endif // Take a 32-bit RGBX image block, convert it to YBR encoding, DCT encode it void DCT_Encode( __global char8 *output, __global const int8 *pixels, int rowBlocks) { __global const int8 *inputStart = pixels; __global char8 *outputStart = output; // YCbCr encode from global memory into this local memory float8 rgbPixels[3*8]; float8 ybrPixels[8]; // Convert the pixels to floating point and split to RGB for (int row = 0; row < 8; ++row) { // Read 64 bytes (8 pixels) int8 input = *inputStart; inputStart += rowBlocks; rgbPixels[row ] = convert_float8((input & 0xFF) - 128); input >>= 8; rgbPixels[row + 8] = convert_float8((input & 0xFF) - 128); input >>= 8; rgbPixels[row + 16] = convert_float8((input & 0xFF) - 128); } #if 0 // Debug output rgb split step for (int ybr = 0; ybr < 3; ++ybr) { for (int row = 0; row < 8; ++row) { outputStart[ybr*8 + row] = convert_char8_sat_rte(rgbPixels[ybr*8+row]); } } #elif 0 // Don't convert to YBR, run DCT on RGB for (int ybr = 0; ybr < 3; ++ybr) { DCT_FCalc(outputStart + ybr * 8, rgbPixels + ybr * 8); } #else // Convert to YBR float8 resultYBR; for (int ybr = 0; ybr < 3; ++ybr) { for (int row = 0; row < 8; ++row) { resultYBR = rgbPixels[row + 0] * ybrMatrix[ybr][0]; resultYBR += rgbPixels[row + 8] * ybrMatrix[ybr][1]; resultYBR += rgbPixels[row + 16] * ybrMatrix[ybr][2]; resultYBR += ybrMatrix[ybr][3]; ybrPixels[row] = resultYBR; } DCT_FCalc(outputStart + ybr * 8, ybrPixels); } #endif } #if 0 // Take a DCT matrix, decode it, convert it from YCbCr to 32-bit RGBX image block void DCT_Decode( __global int8 *pixels, __global const char8 *matrix, int rowBlocks, __constant float8 *idctTable) { __global int8 *output = pixels; __constant float8 *coeff1 = idctTable; float8 fMatrix[8]; float pixelResults[8]; for (int i = 0; i < 8; ++i) fMatrix[i] = convert_float8(matrix[i]) * GET_DEQUANT(i); for (int y = 0; y < 8; ++y) { for (int x = 0; x < 8; ++x) { float8 tv = 0.0f; for (int v = 0; v < 8; ++v) { tv = mad(fMatrix[v], coeff1[v], tv); } coeff1 += 8; tv.s0123 += tv.s4567; tv.s01 += tv.s23; tv.s0 += tv.s1; pixelResults[x] = tv.s0; } *output = convert_int8_sat_rte(vload8(0, pixelResults)); output += rowBlocks; } } #endif __kernel void DCT_EncodeBlocks( __global char8 *mat, __global const int8 *img) { int rowBlocks = get_global_size(0); int blockCol = get_global_id(0); int blockRow = get_global_id(1); int imgStart = blockRow * rowBlocks * 8 + blockCol; int matStart = blockRow * rowBlocks * 8 * 3 + blockCol * 8 * 3; __global const int8 *imgPtr = img + imgStart; __global char8 *matPtr = mat + matStart; DCT_Encode(matPtr, imgPtr, rowBlocks); } #if 0 __kernel void DCT_DecodeBlocks( __global int8 *img, __global const char8 *mat, __constant float8 *idctTable) { int rowBlocks = get_global_size(0); int blockCol = get_global_id(0); int blockRow = get_global_id(1); int imgStart = blockRow * rowBlocks * 8 + blockCol; int matStart = blockRow * rowBlocks * 8 * 3 + blockCol * 8 * 3; __global int8 *imgPtr = img + imgStart; __global const char8 *matPtr = mat + matStart; DCT_Decode(imgPtr, matPtr, rowBlocks, idctTable); } #endif Creating pixel buffer err=0 Creating matrix (output) buffer err=0 Creating program err=0 Getting local memory type Localerr=0 Building program Compiler options used: -cl-single-precision-constant err=-11 Getting build log: err=0 Errors: calclCompile failedError: Creating kernel DCT_EncodeBlocks failed! Creating kernel err=-46 Preferred workgroup multiple: 1934274055, err=-48 Actual workgroup size: 1, err=-48 Setting arguments err=-48 Setting arguments err=-48 Enqueueing task err=-48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0