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llama.cpp
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ggml-cpu: Enable FP16 MMA kernels on PPC (#19060)

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shalinib-ibm 2026-01-27 09:22:34 +05:30 committed by GitHub
parent 94eeb5967c
commit 7afdfc9b84
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GPG Key ID: B5690EEEBB952194
1 changed files with 58 additions and 23 deletions
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81
ggml/src/ggml-cpu/llamafile/sgemm.cpp
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@ -1797,10 +1797,27 @@ class tinyBLAS_Q0_AVX {
} \
} \
template<typename T>
struct mma_instr;
template<>
struct mma_instr<ggml_bf16_t> {
static inline void outer_product(acc_t *acc, vec_t a, vec_t b) {
__builtin_mma_xvbf16ger2pp(acc, a, b);
}
};
template<>
struct mma_instr<ggml_fp16_t> {
static inline void outer_product(acc_t *acc, vec_t a, vec_t b) {
__builtin_mma_xvf16ger2pp(acc, a, b);
}
};
template <typename TA, typename TB, typename TC>
class tinyBLAS_BF16_PPC {
class tinyBLAS_HP16_PPC {
public:
tinyBLAS_BF16_PPC(int64_t k,
tinyBLAS_HP16_PPC(int64_t k,
const TA *A, int64_t lda,
const TB *B, int64_t ldb,
TC *C, int64_t ldc,
@ -2118,8 +2135,8 @@ class tinyBLAS_BF16_PPC {
packNormal((A+(ii*lda)+l), lda, 4, 8, (uint8_t*)vec_A);
packNormal((B+(jj*ldb)+l), ldb, 8, 8, (uint8_t*)vec_B);
for (int x = 0; x < 4; x++) {
__builtin_mma_xvbf16ger2pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvbf16ger2pp(&acc_1, vec_A[x], vec_B[x+4]);
mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
mma_instr<TA>::outer_product(&acc_1, vec_A[x], vec_B[x+4]);
}
}
SAVE_ACC(&acc_0, ii, jj);
@ -2135,8 +2152,8 @@ class tinyBLAS_BF16_PPC {
packNormal((A+(ii*lda)+l), lda, 8, 8, (uint8_t*)vec_A);
packNormal((B+(jj*ldb)+l), ldb, 8, 4, (uint8_t*)vec_B);
for (int x = 0; x < 4; x++) {
__builtin_mma_xvbf16ger2pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvbf16ger2pp(&acc_1, vec_A[x+4], vec_B[x]);
mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
mma_instr<TA>::outer_product(&acc_1, vec_A[x], vec_B[x+4]);
}
}
SAVE_ACC(&acc_0, ii, jj);
@ -2155,10 +2172,10 @@ class tinyBLAS_BF16_PPC {
packNormal(A+(ii*lda)+l, lda, 8, 8, (uint8_t*)vec_A);
packNormal(B+(jj*ldb)+l, ldb, 8, 8, (uint8_t*)vec_B);
for (int x = 0; x < 4; x++) {
__builtin_mma_xvbf16ger2pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvbf16ger2pp(&acc_1, (vec_t)vec_A[x], (vec_t)vec_B[x+4]);
__builtin_mma_xvbf16ger2pp(&acc_2, (vec_t)vec_A[x+4], (vec_t)vec_B[x]);
__builtin_mma_xvbf16ger2pp(&acc_3, (vec_t)vec_A[x+4], (vec_t)vec_B[x+4]);
mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
mma_instr<TA>::outer_product(&acc_1, vec_A[x], vec_B[x+4]);
mma_instr<TA>::outer_product(&acc_2, vec_A[x+4], vec_B[x]);
mma_instr<TA>::outer_product(&acc_3, vec_A[x+4], vec_B[x+4]);
}
}
@ -2189,7 +2206,7 @@ class tinyBLAS_BF16_PPC {
packNormal(A+(ii*lda)+l, lda, RM, 4, (uint8_t*)vec_A);
packNormal(B+(jj*ldb)+l, ldb, RN, 4, (uint8_t*)vec_B);
for (int x = 0; x<2; x++) {
__builtin_mma_xvbf16ger2pp(&acc_0, vec_A[x], vec_B[x]);
mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
}
}
__builtin_mma_disassemble_acc(vec_C, &acc_0);
@ -2224,8 +2241,8 @@ class tinyBLAS_BF16_PPC {
packNormal(A+(ii*lda)+l, lda, RM, 8, (uint8_t*)vec_A);
packNormal(B+(jj*ldb)+l, ldb, RN, 8, (uint8_t*)vec_B);
for (int x = 0; x<4; x++) {
__builtin_mma_xvbf16ger2pp(&acc_0, vec_A[x], vec_B[x]);
__builtin_mma_xvbf16ger2pp(&acc_1, vec_A[x], vec_B[x+4]);
mma_instr<TA>::outer_product(&acc_0, vec_A[x], vec_B[x]);
mma_instr<TA>::outer_product(&acc_1, vec_A[x], vec_B[x+4]);
}
}
__builtin_mma_disassemble_acc(vec_C, &acc_0);
@ -3418,16 +3435,19 @@ bool llamafile_sgemm(const struct ggml_compute_params * params, int64_t m, int64
return tb.matmul(m, n);
}
#elif defined(__MMA__)
if ((k % 8))
return false;
if(Btype == GGML_TYPE_BF16) {
tinyBLAS_BF16_PPC<ggml_bf16_t, ggml_bf16_t, float> tb{ k,
(const ggml_bf16_t *)A, lda,
(const ggml_bf16_t *)B, ldb,
(float *)C, ldc,
params->ith, params->nth};
tb.matmul(m, n);
return true;
if (k % 8) {
return false;
}
if (Btype == GGML_TYPE_BF16) {
tinyBLAS_HP16_PPC<ggml_bf16_t, ggml_bf16_t, float> tb{ k,
(const ggml_bf16_t *)A, lda,
(const ggml_bf16_t *)B, ldb,
(float *)C, ldc,
params->ith, params->nth };
tb.matmul(m, n);
return true;
}
#elif defined(__riscv_zvfbfwma)
#if LMUL == 1
@ -3516,6 +3536,21 @@ bool llamafile_sgemm(const struct ggml_compute_params * params, int64_t m, int64
#endif
return tb.matmul(m, n);
}
#elif defined(__MMA__)
if (k % 8) {
return false;
}
if (Btype == GGML_TYPE_F16) {
tinyBLAS_HP16_PPC<ggml_fp16_t, ggml_fp16_t, float> tb{ k,
(const ggml_fp16_t *)A, lda,
(const ggml_fp16_t *)B, ldb,
(float *)C, ldc,
params->ith, params->nth };
tb.matmul(m, n);
return true;
}
#endif
return false;
}