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Install CLBlast:
cd git clone https://github.com/CNugteren/CLBlast.git
cd CLBlast
cmake -B build \ -DBUILD_SHARED_LIBS=OFF \ -DTUNERS=OFF \ -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_INSTALL_PREFIX=/data/data/com.termux/files/usr
cd build
make -j8
make install
I don't know how to make CLBlast function, then I'm hoping to make it so that llama.cpp recognizes the platform.
clinfo;
Number of platforms 1
Platform Name QUALCOMM Snapdragon(TM)
Platform Vendor QUALCOMM
Platform Version OpenCL 2.0 QUALCOMM build: commit #3dad7f8ed7 changeid #I593c16c433 Date: 10/01/21 Fri Local Branch: Remote Branch: refs/tags/AU_LINUX_ANDROID_LA.UM.9.1.R1.11.00.00.604.073
Platform Profile FULL_PROFILE
Platform Extensions
Platform Name QUALCOMM Snapdragon(TM)
Number of devices 1
Device Name QUALCOMM Adreno(TM)
Device Vendor QUALCOMM
Device Vendor ID 0x5143
Device Version OpenCL 2.0 Adreno(TM) 640
Driver Version OpenCL 2.0 QUALCOMM build: commit #3dad7f8ed7 changeid #I593c16c433 Date: 10/01/21 Fri Local Branch: Remote Branch: refs/tags/AU_LINUX_ANDROID_LA.UM.9.1.R1.11.00.00.604.073 Compiler E031.37.12.01
Device OpenCL C Version OpenCL C 2.0 Adreno(TM) 640
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 2
Max clock frequency 1MHz
Device Partition (core)
Max number of sub-devices 1
Supported partition types None
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 1024x1024x1024
Max work group size 1024
Preferred work group size multiple (kernel) 128
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 0
half 1 / 1 (cl_khr_fp16)
float 1 / 1
double 0 / 0 (n/a)
Half-precision Floating-point support (cl_khr_fp16)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity Yes
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity Yes
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 64, Little-Endian
Global memory size 3911956480 (3.643GiB)
Error Correction support No
Max memory allocation 977989120 (932.7MiB)
Unified memory for Host and Device Yes
Shared Virtual Memory (SVM) capabilities (core)
Coarse-grained buffer sharing Yes
Fine-grained buffer sharing Yes
Fine-grained system sharing No
Atomics Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Page size (QCOM) 4096 bytes
External memory padding (QCOM) 0 bytes
Preferred alignment for atomics
SVM 128 bytes
Global 0 bytes
Local 0 bytes
Max size for global variable 65536 (64KiB)
Preferred total size of global vars 1048576 (1024KiB)
Global Memory cache type Read/Write
Global Memory cache size 131072 (128KiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 134217728 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 64 bytes
Pitch alignment for 2D image buffers 64 pixels
Max 2D image size 16384x16384 pixels
Max 3D image size 16384x16384x2048 pixels
Max number of read image args 128
Max number of write image args 64
Max number of read/write image args 64
Max number of pipe args 16
Max active pipe reservations 7680
Max pipe packet size 1024
Local memory type Local
Local memory size 32768 (32KiB)
Max number of constant args 8
Max constant buffer size 65536 (64KiB)
Max size of kernel argument 1024
Queue properties (on host)
Out-of-order execution Yes
Profiling Yes
Queue properties (on device)
Out-of-order execution Yes
Profiling Yes
Preferred size 655376 (640KiB)
Max size 655376 (640KiB)
Max queues on device 1
Max events on device 1024
Prefer user sync for interop No
Profiling timer resolution 1000ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
printf() buffer size 1048576 (1024KiB)
Built-in kernels (n/a)
Device Extensions cl_khr_3d_image_writes cl_img_egl_image cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_egl_event cl_khr_egl_image cl_khr_fp16 cl_khr_gl_sharing cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_image2d_from_buffer cl_khr_mipmap_image cl_khr_srgb_image_writes cl_khr_subgroups cl_qcom_create_buffer_from_image cl_qcom_ext_host_ptr cl_qcom_ion_host_ptr cl_qcom_perf_hint cl_qcom_other_image cl_qcom_subgroup_shuffle cl_qcom_vector_image_ops cl_qcom_extract_image_plane cl_qcom_android_native_buffer_host_ptr cl_qcom_protected_context cl_qcom_priority_hint cl_qcom_compressed_yuv_image_read cl_qcom_compressed_image cl_qcom_ext_host_ptr_iocoherent cl_qcom_accelerated_image_ops cl_qcom_ml_ops
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [P0]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name QUALCOMM Snapdragon(TM)
Device Name QUALCOMM Adreno(TM)
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name QUALCOMM Snapdragon(TM)
Device Name QUALCOMM Adreno(TM)
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
Platform Name QUALCOMM Snapdragon(TM)
Device Name QUALCOMM Adreno(TM)
I rebuilt with the -DSAMPLES=ON enabled, just to see if I can get any thing to run with CLBlast.
So, I chmod +x sgemm.c, then ./sgemm.c to which I receive:
Hi,
My device has native OpenCL support, and I want to use CLBlast. I don't own a p.c. so installing NDK is not an option.
Ultimately, I want to use llama.cpp with CLBlast enabled, but CLBlast is giving me a hard time.
For more context:
The closest I've gotten to running llama.cpp with CLBlast enabled is by following this method:
pkg update
pkg upgrade
apt install clang cmake cmake-curses-gui opencl-headers ocl-icd
Install CLBlast:
cd git clone https://github.com/CNugteren/CLBlast.git
cd CLBlast
cmake -B build \ -DBUILD_SHARED_LIBS=OFF \ -DTUNERS=OFF \ -DCMAKE_BUILD_TYPE=Release \ -DCMAKE_INSTALL_PREFIX=/data/data/com.termux/files/usr
cd build
make -j8
make install
Build llama.cpp:
cd git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp/
cmake -B build -DLLAMA_CLBLAST=ON
cd build
make -j8
But then there's the platform error from llama.cpp:
main: build = 0 (unknown) main: seed = 1685721363 ggml_opencl: clGetPlatformIDs(NPLAT, platform_ids, &n_platforms) error -1001 at /data/data/com.termux/files/home/zllama/ggml-opencl.cpp:344
I don't know how to make CLBlast function, then I'm hoping to make it so that llama.cpp recognizes the platform.
clinfo;
I rebuilt with the -DSAMPLES=ON enabled, just to see if I can get any thing to run with CLBlast.
So, I chmod +x sgemm.c, then ./sgemm.c to which I receive:
Any direction on this matter is appreciated!
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