vbatts/llama.cpp
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This commit is contained in:
slaren 2023-07-23 14:29:27 +02:00
parent 816a17afe9
commit 08dd6336e8
1 changed files with 25 additions and 26 deletions
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51
ggml.c
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@ -11626,8 +11626,8 @@ static void ggml_compute_forward_alibi_f32(
return;
}
const int n_past = ((int32_t *) dst->op_params)[0];
const int n_head = ((int32_t *) dst->op_params)[1];
const int n_past = ((int32_t *) dst->op_params)[0];
const int n_head = ((int32_t *) dst->op_params)[1];
float max_bias;
memcpy(&max_bias, (int32_t *) dst->op_params + 2, sizeof(float));
@ -11689,8 +11689,8 @@ static void ggml_compute_forward_alibi_f16(
return;
}
const int n_past = ((int32_t *) dst->op_params)[0];
const int n_head = ((int32_t *) dst->op_params)[1];
const int n_past = ((int32_t *) dst->op_params)[0];
const int n_head = ((int32_t *) dst->op_params)[1];
float max_bias;
memcpy(&max_bias, (int32_t *) dst->op_params + 2, sizeof(float));
@ -12534,7 +12534,7 @@ static void ggml_compute_forward_conv_1d_s1_ph(
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
const struct ggml_tensor * src1,
struct ggml_tensor * dst) {
struct ggml_tensor * dst) {
switch (src0->type) {
case GGML_TYPE_F16:
{
@ -12737,7 +12737,7 @@ static void ggml_compute_forward_conv_1d_s2_ph(
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
const struct ggml_tensor * src1,
struct ggml_tensor * dst) {
struct ggml_tensor * dst) {
switch (src0->type) {
case GGML_TYPE_F16:
{
@ -12757,10 +12757,10 @@ static void ggml_compute_forward_conv_1d_s2_ph(
// ggml_compute_forward_conv_1d
static void ggml_compute_forward_conv_1d(
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
const struct ggml_tensor * src1,
struct ggml_tensor * dst) {
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
const struct ggml_tensor * src1,
struct ggml_tensor * dst) {
const int32_t s0 = ((const int32_t*)(dst->op_params))[0];
const int32_t p0 = ((const int32_t*)(dst->op_params))[1];
const int32_t d0 = ((const int32_t*)(dst->op_params))[2];
@ -12877,8 +12877,7 @@ static void ggml_compute_forward_conv_2d(
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
const struct ggml_tensor * src1,
struct ggml_tensor * dst
) {
struct ggml_tensor * dst) {
switch (src0->type) {
case GGML_TYPE_F16:
{
@ -12951,9 +12950,9 @@ static void ggml_compute_forward_pool_1d_sk_p0(
// ggml_compute_forward_pool_1d
static void ggml_compute_forward_pool_1d(
const struct ggml_compute_params* params,
const struct ggml_tensor* src0,
struct ggml_tensor* dst) {
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
struct ggml_tensor * dst) {
const int32_t* opts = (const int32_t*)dst->op_params;
enum ggml_op_pool op = opts[0];
@ -12969,12 +12968,12 @@ static void ggml_compute_forward_pool_1d(
// ggml_compute_forward_pool_2d_sk_p0
static void ggml_compute_forward_pool_2d_sk_p0(
const struct ggml_compute_params * params,
const enum ggml_op_pool op,
const struct ggml_tensor * src,
const int k0,
const int k1,
struct ggml_tensor * dst) {
const struct ggml_compute_params * params,
const enum ggml_op_pool op,
const struct ggml_tensor * src,
const int k0,
const int k1,
struct ggml_tensor * dst) {
assert(src->type == GGML_TYPE_F32);
assert(params->ith == 0);
@ -13034,9 +13033,9 @@ static void ggml_compute_forward_pool_2d_sk_p0(
// ggml_compute_forward_pool_2d
static void ggml_compute_forward_pool_2d(
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
struct ggml_tensor * dst) {
const struct ggml_compute_params * params,
const struct ggml_tensor * src0,
struct ggml_tensor * dst) {
const int32_t * opts = (const int32_t *)dst->op_params;
enum ggml_op_pool op = opts[0];
@ -13063,7 +13062,7 @@ static void ggml_compute_forward_flash_attn_f32(
const struct ggml_tensor * k,
const struct ggml_tensor * v,
const bool masked,
struct ggml_tensor * dst) {
struct ggml_tensor * dst) {
int64_t t0 = ggml_perf_time_us();
UNUSED(t0);
@ -13241,7 +13240,7 @@ static void ggml_compute_forward_flash_attn_f16(
const struct ggml_tensor * k,
const struct ggml_tensor * v,
const bool masked,
struct ggml_tensor * dst) {
struct ggml_tensor * dst) {
int64_t t0 = ggml_perf_time_us();
UNUSED(t0);