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25 changes: 17 additions & 8 deletions ggml/src/ggml-cpu/kleidiai/kleidiai.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -259,7 +259,10 @@ class tensor_traits : public ggml::cpu::tensor_traits {
const int64_t m_start = 0;

const int64_t n_step = static_cast<int64_t>(kernel->get_n_step());
const int64_t num_threads = KAI_MIN(n / n_step, nth);
int64_t num_threads = KAI_MIN(n / n_step, nth);
if (num_threads <= 0) {
num_threads = 1;
}

if (ith < num_threads) {
const int64_t num_n_per_thread0 = round_down(n / num_threads, n_step);
Expand Down Expand Up @@ -308,8 +311,9 @@ class tensor_traits : public ggml::cpu::tensor_traits {

GGML_ASSERT(kernel);

const int ith = params->ith;
const int nth = params->nth;
int ith = params->ith;
int nth_raw = params->nth;
int nth = nth_raw > 0 ? nth_raw : 1;

const size_t k = ne00;
const size_t m = ne11;
Expand All @@ -327,9 +331,12 @@ class tensor_traits : public ggml::cpu::tensor_traits {
const size_t num_n_per_thread = kai_roundup(kai_roundup(n, nth) / nth, n_step);
const size_t n_start = ith * num_n_per_thread;

size_t n_to_process = num_n_per_thread;
if ((n_start + n_to_process) > n) {
n_to_process = n - n_start;
size_t n_to_process = 0;
if (n_start < n) {
n_to_process = num_n_per_thread;
if ((n_start + n_to_process) > n) {
n_to_process = n - n_start;
}
}

// Calculate number of columns to be processed per thread
Expand Down Expand Up @@ -361,8 +368,10 @@ class tensor_traits : public ggml::cpu::tensor_traits {
const void* lhs_ptr = (const void*)((const char *)lhs_packed + lhs_packed_offset);
float *dst_ptr = reinterpret_cast<float *>(static_cast<uint8_t *>(dst->data) + dst_offset);

variant_call<void>(kernel->run_kernel, m, n_to_process, k, QK4_0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride,
sizeof(float), -FLT_MAX, FLT_MAX);
if (n_to_process > 0) {
variant_call<void>(kernel->run_kernel, m, n_to_process, k, QK4_0, lhs_ptr, rhs_ptr, dst_ptr, dst_stride,
sizeof(float), -FLT_MAX, FLT_MAX);
}

return true;
}
Expand Down
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