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opencl: use GGML_LOG_xxx instead of fprintf(stderr, ...)

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Li He 2024-12-10 20:42:15 -08:00 • committed by Max Krasnyansky
parent 9a9d92b0b9
commit e9a97381f2
1 changed files with 30 additions and 30 deletions
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60
ggml/src/ggml-opencl2/ggml-opencl2.cpp
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@ -39,7 +39,7 @@
do { \
cl_int err_ = (err); \
if (err_ != CL_SUCCESS) { \
fprintf(stderr, "ggml_opencl: %s error %d at %s:%d\n", \
GGML_LOG_ERROR("ggml_opencl: %s error %d at %s:%d\n", \
#err, err_, __FILE__, __LINE__); \
GGML_ASSERT(0); \
} \
@ -239,7 +239,7 @@ static cl_program build_program_from_source(cl_context ctx, cl_device_id dev, co
p = clCreateProgramWithSource(ctx, 1, (const char**)&program_buffer, &program_size, &err);
if(err < 0) {
fprintf(stderr, "OpenCL error creating program");
GGML_LOG_ERROR("OpenCL error creating program");
exit(1);
}
@ -249,7 +249,7 @@ static cl_program build_program_from_source(cl_context ctx, cl_device_id dev, co
program_log = (char*) malloc(log_size + 1);
program_log[log_size] = '\0';
clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, log_size + 1, program_log, NULL);
fprintf(stderr, "ggml_opencl: kernel compile error:\n\n%s\n", program_log);
GGML_LOG_ERROR("ggml_opencl: kernel compile error:\n\n%s\n", program_log);
free(program_log);
exit(1);
}
@ -277,7 +277,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
cl_int err;
#ifdef GGML_PROFILE_OPENCL
fprintf(stderr, "ggml_opencl: OpenCL profiling enabled\n");
GGML_LOG_INFO("ggml_opencl: OpenCL profiling enabled\n");
#endif
struct cl_device;
@ -346,7 +346,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
}
if (n_devices == 0) {
fprintf(stderr, "ggml_opencl: could find any OpenCL devices.\n");
GGML_LOG_ERROR("ggml_opencl: could find any OpenCL devices.\n");
exit(1);
}
@ -365,7 +365,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
if (user_platform_number != -1 && user_device_number != -1) {
cl_platform* platform = &platforms[user_platform_number];
if ((unsigned)user_device_number >= platform->n_devices) {
fprintf(stderr, "ggml_opencl: invalid device number %d\n", user_device_number);
GGML_LOG_ERROR("ggml_opencl: invalid device number %d\n", user_device_number);
exit(1);
}
default_device = &platform->devices[user_device_number];
@ -384,7 +384,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
}
}
if (user_platform_number == -1) {
fprintf(stderr, "ggml_opencl: no platform matching '%s' was found.\n", user_platform_string);
GGML_LOG_ERROR("ggml_opencl: no platform matching '%s' was found.\n", user_platform_string);
exit(1);
}
}
@ -394,7 +394,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
n_selected_devices = p->n_devices;
default_device = p->default_device;
if (n_selected_devices == 0) {
fprintf(stderr, "ggml_opencl: selected platform '%s' does not have any devices.\n", p->name);
GGML_LOG_ERROR("ggml_opencl: selected platform '%s' does not have any devices.\n", p->name);
exit(1);
}
}
@ -408,7 +408,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
}
}
if (user_device_number == -1) {
fprintf(stderr, "ggml_opencl: no device matching '%s' was found.\n", user_device_string);
GGML_LOG_ERROR("ggml_opencl: no device matching '%s' was found.\n", user_device_string);
exit(1);
}
}
@ -425,10 +425,10 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
}
}
fprintf(stderr, "ggml_opencl: selecting platform: '%s'\n", default_device->platform->name);
fprintf(stderr, "ggml_opencl: selecting device: '%s'\n", default_device->name);
GGML_LOG_INFO("ggml_opencl: selecting platform: '%s'\n", default_device->platform->name);
GGML_LOG_INFO("ggml_opencl: selecting device: '%s'\n", default_device->name);
if (default_device->type != CL_DEVICE_TYPE_GPU) {
fprintf(stderr, "ggml_opencl: warning, not a GPU: '%s'.\n", default_device->name);
GGML_LOG_WARN("ggml_opencl: warning, not a GPU: '%s'.\n", default_device->name);
}
dev_ctx->platform = default_device->platform->id;
@ -447,7 +447,7 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
backend_ctx->adreno_wave_size = 128;
} else {
backend_ctx->adreno_wave_size = 128;
fprintf(stderr, "ggml_opencl: Unsupported Adreno GPU: %s, "
GGML_LOG_WARN("ggml_opencl: Unsupported Adreno GPU: %s, "
"using wave size %d, "
"may not work as expected\n",
backend_ctx->device_name.c_str(), backend_ctx->adreno_wave_size);
@ -455,8 +455,8 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
} else if (strstr(default_device->name, "Intel")) {
backend_ctx->gpu_family = GPU_FAMILY::INTEL;
} else {
fprintf(stderr, "Unknown GPU: %s\n", default_device->name);
GGML_ASSERT(false && "Unknown GPU");
GGML_LOG_ERROR("Unknown GPU: %s\n", default_device->name);
exit(1);
}
// Populate backend device name
@ -473,13 +473,13 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
char *driver_version = (char *)alloca(driver_version_str_size + 1);
clGetDeviceInfo(device, CL_DRIVER_VERSION, driver_version_str_size, driver_version, NULL);
driver_version[driver_version_str_size] = '\0';
fprintf(stderr, "ggml_opencl: OpenCL driver: %s\n", driver_version);
GGML_LOG_INFO("ggml_opencl: OpenCL driver: %s\n", driver_version);
backend_ctx->driver_version = driver_version;
int adreno_cl_compiler_version = get_adreno_cl_compiler_version(driver_version);
bool has_vector_subgroup_broadcast =
adreno_cl_compiler_version >= 47 || adreno_cl_compiler_version == 17;
fprintf(stderr, "ggml_opencl: vector subgroup broadcast support: %s\n",
GGML_LOG_INFO("ggml_opencl: vector subgroup broadcast support: %s\n",
has_vector_subgroup_broadcast ? "true" : "false");
size_t ext_str_size;
@ -489,33 +489,33 @@ static ggml_backend_opencl2_context * ggml_cl2_init(ggml_backend_dev_t dev) {
ext_buffer[ext_str_size] = '\0'; // ensure it is null terminated
// Check if ext_buffer contains cl_khr_fp16
backend_ctx->fp16_support = strstr(ext_buffer, "cl_khr_fp16") != NULL;
fprintf(stderr, "ggml_opencl: device FP16 support: %s\n", backend_ctx->fp16_support ? "true" : "false");
GGML_LOG_INFO("ggml_opencl: device FP16 support: %s\n", backend_ctx->fp16_support ? "true" : "false");
CL_CHECK(clGetDeviceInfo(device, CL_DEVICE_MEM_BASE_ADDR_ALIGN, sizeof(cl_uint), &backend_ctx->alignment, NULL));
fprintf(stderr, "ggml_opencl: mem base addr align: %u\n", backend_ctx->alignment);
GGML_LOG_INFO("ggml_opencl: mem base addr align: %u\n", backend_ctx->alignment);
clGetDeviceInfo(device, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(size_t), &backend_ctx->max_alloc_size, NULL);
fprintf(stderr, "ggml_opencl: max mem alloc size: %zu MB\n", backend_ctx->max_alloc_size/1024/1024);
GGML_LOG_INFO("ggml_opencl: max mem alloc size: %zu MB\n", backend_ctx->max_alloc_size/1024/1024);
// Check SVM.
cl_device_svm_capabilities svm_caps;
CL_CHECK(clGetDeviceInfo(device, CL_DEVICE_SVM_CAPABILITIES, sizeof(cl_device_svm_capabilities), &svm_caps, 0));
fprintf(stderr, "ggml_opencl: SVM coarse grain buffer support: %s\n",
GGML_LOG_INFO("ggml_opencl: SVM coarse grain buffer support: %s\n",
svm_caps & CL_DEVICE_SVM_COARSE_GRAIN_BUFFER ? "true" : "false");
fprintf(stderr, "ggml_opencl: SVM fine grain buffer support: %s\n",
GGML_LOG_INFO("ggml_opencl: SVM fine grain buffer support: %s\n",
svm_caps & CL_DEVICE_SVM_FINE_GRAIN_BUFFER ? "true" : "false");
fprintf(stderr, "ggml_opencl: SVM fine grain system support: %s\n",
GGML_LOG_INFO("ggml_opencl: SVM fine grain system support: %s\n",
svm_caps & CL_DEVICE_SVM_FINE_GRAIN_SYSTEM ? "true" : "false");
fprintf(stderr, "ggml_opencl: SVM atomics support: %s\n",
GGML_LOG_INFO("ggml_opencl: SVM atomics support: %s\n",
svm_caps & CL_DEVICE_SVM_ATOMICS ? "true" : "false");
// Print out configurations
#ifdef GGML_OPENCL_SOA_Q
fprintf(stderr, "ggml_opencl: flattening quantized weights representation as struct of arrays (GGML_OPENCL_SOA_Q)\n");
GGML_LOG_INFO("ggml_opencl: flattening quantized weights representation as struct of arrays (GGML_OPENCL_SOA_Q)\n");
#endif // GGML_OPENCL_SOA_Q
#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
fprintf(stderr, "ggml_opencl: using kernels optimized for Adreno (GGML_OPENCL_USE_ADRENO_KERNELS)\n");
GGML_LOG_INFO("ggml_opencl: using kernels optimized for Adreno (GGML_OPENCL_USE_ADRENO_KERNELS)\n");
#endif // GGML_OPENCL_USE_ADRENO_KERNELS
cl_context_properties properties[] = {
@ -768,7 +768,7 @@ static void ggml_cl2_free(void) {
#ifdef GGML_OPENCL_PROFILING
FILE * fperf = fopen("cl_profiling.csv", "w");
if (!fperf) {
fprintf(stderr, "Failed to open cl_profiling.csv\n");
GGML_LOG_ERROR("Failed to open cl_profiling.csv\n");
return;
}
@ -784,7 +784,7 @@ static void ggml_cl2_free(void) {
}
fclose(fperf);
fprintf(stderr, "ggml_opencl: total kernel time: %f\n", total_kernel_time);
GGML_LOG_INFO("ggml_opencl: total kernel time: %f\n", total_kernel_time);
#endif
}
@ -911,7 +911,7 @@ static ggml_status ggml_backend_opencl2_graph_compute(ggml_backend_t backend, gg
bool ok = ggml_cl_compute_forward(backend, node);
if (!ok) {
fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
GGML_LOG_ERROR("%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
}
GGML_ASSERT(ok);
}
@ -1537,7 +1537,7 @@ static ggml_backend_buffer_t ggml_backend_opencl2_buffer_type_alloc_buffer(ggml_
cl_int err;
cl_mem mem = clCreateBuffer(backend_ctx->context, CL_MEM_READ_WRITE, size, NULL, &err);
if (err != CL_SUCCESS) {
fprintf(stderr, "%s: failed to allocate %.2f MiB\n", __func__, size / 1024.0 / 1024.0);
GGML_LOG_INFO("%s: failed to allocate %.2f MiB\n", __func__, size / 1024.0 / 1024.0);
return nullptr;
}