`clEnqueueFillBuffer()` fills a buffer correctly only at random

走远了吗. 提交于 2019-12-10 19:06:12

问题


I'm trying to fill OpenCL cl_int2 buffer with default values ({-1, -2}), however the OpenCL function clEnqueueFillBuffer() fills my buffer with different values each time I run it – the buffer is filled with the expected values only at random. The function returns error code 0.

Examples of the snippet's output at multiple runs:

  • 0 : -268435456
  • 0 : -2147483648
  • 0 : -536870912
  • 0 : 268435456
  • 0 : 0
  • 0 : -1342177280
  • -1: -2

I'm running OS X 10.11.6 with Radeon HD 6750M and OpenCL version 1.2.

clbParticle_hashmap_lookup_table = clCreateBuffer(context,
                                                  CL_MEM_READ_WRITE,
                                                  sizeof(cl_int2)*this->CUBE_CELLS,
                                                  nullptr,
                                                  &err_code);

// ...

cl_int2 default_hashmap_pattern = { .s = {-1, -2} };

clEnqueueFillBuffer(queue,
                    clbParticle_hashmap_lookup_table,
                    &default_hashmap_pattern,
                    sizeof(cl_int2),
                    0,
                    sizeof(cl_int2)*this->CUBE_CELLS,
                    0,
                    nullptr, nullptr);

clFinish(queue);

// copy and print the data:
size_t   hashmap_lookup_table_size  = sizeof(cl_int2)*this->CUBE_CELLS;
cl_int2* hashmap_lookup_table_bytes = (cl_int2*) malloc(hashmap_lookup_table_size);

clEnqueueReadBuffer(queue,
                    clbParticle_hashmap_lookup_table,
                    CL_TRUE,
                    0,
                    hashmap_lookup_table_size,
                    hashmap_lookup_table_bytes,
                    0,
                    nullptr, nullptr);

clFinish(queue);

cout << endl << "Lookup table: " << endl;
for (int i=0; i<this->CUBE_CELLS; i++)
    cout << setw(10) << hashmap_lookup_table_bytes[i].s[0] << " : "
         << setw(10) << hashmap_lookup_table_bytes[i].s[1] << endl;

回答1:


The problem is that your fill pattern is larger too large for your GPU. I ran into the same problem trying to fill a pattern with a cl_double which is 64 bits like your cl_int2. I think clEnqueueFillBuffer is invoking a built in kernel which doesn't allow patterns




回答2:


I can reproduce this. On a Macbook Sierra, with Radeon Pro 450, following script:

int N = 100000;

float *a = new float[N];

cl_mem a_gpu = clCreateBuffer(context, CL_MEM_READ_WRITE, N * sizeof(float), 0, &err);
checkError(err);
for(int it = 0; it < 100; it++) {

    float value = 123.0f + it;
    err = clEnqueueFillBuffer(queue, a_gpu, &value, sizeof(value), 0, N * sizeof(float), 0, 0, 0);
    checkError(err);
    clFinish(queue);

    err = clEnqueueReadBuffer(queue, a_gpu, CL_TRUE, 0,
                                         sizeof(cl_float) * N, a, 0, NULL, NULL);
    checkError(err);
    clFinish(queue);

    cout << it << " a[N - 1]=" << a[N - 1] << endl;
}
delete[] a;

gives results like:

Using Apple , OpenCL platform: Apple Using OpenCL device: AMD Radeon Pro 450 Compute Engine 0 a[N - 1]=-1.39445e-31 1 a[N - 1]=0 2 a[N - 1]=0 3 a[N - 1]=0 4 a[N - 1]=0 5 a[N - 1]=0 6 a[N - 1]=129 7 a[N - 1]=0 8 a[N - 1]=131 9 a[N - 1]=132 10 a[N - 1]=133 11 a[N - 1]=134 12 a[N - 1]=135 13 a[N - 1]=0 14 a[N - 1]=0 15 a[N - 1]=0 16 a[N - 1]=0 17 a[N - 1]=0 18 a[N - 1]=0 19 a[N - 1]=0 20 a[N - 1]=0 21 a[N - 1]=0 22 a[N - 1]=0 23 a[N - 1]=0 24 a[N - 1]=0 25 a[N - 1]=0 26 a[N - 1]=0 27 a[N - 1]=0 28 a[N - 1]=0 29 a[N - 1]=0 30 a[N - 1]=0 31 a[N - 1]=154 32 a[N - 1]=0




回答3:


I have experienced this bug ONLY on macOS, since Mar 2017 when I started to learn OpenCL (can't remember the macOS version at then). The GPU is GT 750M (which is probably irrelevant), and the pattern is a cl_double2. Same routine on a GTX 760, Linux, has no such problem. I suspect this is because the OpenCL 1.2 support on macOS is incomplete, as clinfo (compiled and executed on macOS) warns:

NOTE:   your OpenCL library only supports OpenCL 1.0,
        but some installed platforms support OpenCL 1.2.
        Programs using 1.2 features may crash
        or behave unexpectedly

The "corresponding" CUDA API, cudaMemset, can only accept an int-sized pattern. However, the restriction is stated in the CUDA documentation, while the OpenCL documentation clearly used a cl_float4 (same size to cl_double2) as an example. So this is clearly a bug, not an undocumented feature.

But I guess Apple has solved this problem in macOS 10.14, because THEY ARE DEPRECATING OPENCL!



来源:https://stackoverflow.com/questions/38556710/clenqueuefillbuffer-fills-a-buffer-correctly-only-at-random

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