Unable to dump clBLAS kernels

[matejaputic]

I'd like to configure clBLAS to dump OpenCL kernels as they are generated. I set BLAS_DUMP_CLBLAS_KERNELS and BLAS_KEEP_KERNEL_SOURCES in CMakeCache.txt, in addition to BUILD_SAMPLE, and I did a build.

Then I ran

> LD_LIBRARY_PATH=/path/to/libclBLAS.so.2 ./samples/example_sgemm

to make sure it's referencing the library that was just built. However, I don't see any output files.

Searching through the codebase, It seems that the function that is supposed to dump kernels is the kernelDump function, which gets called from the enqueueKernel function. However, I don't see where the enqueueKernel function gets called.

As an additional step, I tried running samples/example_sgemm with gdb, and I set a breakpoint on enqueueKernel and dumpKernel but they were never hit.

Is there anything I'm missing to enable dumping of the cl kernels?

[tingxingdong]

the gemm kernel is not generated in the run time.

the source code is in src/library/blas/AutoGemm. the source code is generated by python script.

Most of other kernels (e.g. gemv) are generated on the fly

On Thu, Feb 25, 2016 at 11:55 AM, Mateja Putic notifications@github.com wrote:

I'd like to configure clBLAS to dump OpenCL kernels as they are generated. I set BLAS_DUMP_CLBLAS_KERNELS and BLAS_KEEP_KERNEL_SOURCES in CMakeCache.txt, in addition to BUILD_SAMPLE, and I did a build.

Then I ran

LD_LIBRARY_PATH=/path/to/libclBLAS.so.2 ./samples/example_sgemm

to make sure it's referencing the library that was just built. However, I don't see any output files.

Searching through the codebase, It seems that the function that is supposed to dump kernels is the kernelDump https://github.com/clMathLibraries/clBLAS/blob/9731ea2a270509211a47bf6cf9df4de2069ccc52/src/library/blas/generic/kdump.c#L120 function, which gets called from the enqueueKernel https://github.com/clMathLibraries/clBLAS/blob/9731ea2a270509211a47bf6cf9df4de2069ccc52/src/library/blas/generic/solution_seq.c#L114 function. However, I don't see where the enqueueKernel function gets called.

As an additional step, I tried running samples/example_sgemm with gdb, and I set a breakpoint on enqueueKernel and dumpKernel but they were never hit.

Is there anything I'm missing to enable dumping of the cl kernels?

— Reply to this email directly or view it on GitHub https://github.com/clMathLibraries/clBLAS/issues/232.

Tingxing dong

[matejaputic]

Thank you for your reply. How can I use the Python script to generate the gemm kernel?

[tingxingdong]

No. you do not have to do it your own.

read that folder, you will see what is going on.

On Thu, Feb 25, 2016 at 12:10 PM, Mateja Putic notifications@github.com wrote:

Thank you for your reply. How can I use the Python script to generate the gemm kernel?

— Reply to this email directly or view it on GitHub https://github.com/clMathLibraries/clBLAS/issues/232#issuecomment-188909926 .

Tingxing dong

[matejaputic]

I see that there are many kernels already generated in UserGemmKernelSources. How are these kernels selected by the runtime based on the dimensions of the workload?

For example, if I were to call clblasSgemm with N = M = K = 1024, which one of these kernels would be compiled? How does clBLAS make these selections at runtime?

[tingxingdong]

AutoGemmParameter.py,

if you want to go deep, you need to read the AutoGemm folder thoroughly .

On Thu, Feb 25, 2016 at 12:20 PM, Mateja Putic notifications@github.com wrote:

I see that there are many kernels already generated in UserGemmKernelSources. How are these kernels selected by the runtime based on the dimensions of the workload?

For example, if I were to call clblasSgemm with N = M = K = 1024, which one of these kernels would be compiled? How does clBLAS make these selections at runtime?

— Reply to this email directly or view it on GitHub https://github.com/clMathLibraries/clBLAS/issues/232#issuecomment-188917380 .

Tingxing dong

[matejaputic]

OK thank you