const int nb = k / QK_NVFP4;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, nb) * sycl::range<3>(1, 1, 32), sycl::range<3>(1, 1, 32)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
dequantize_block_nvfp4(vx, y, k);
});
}
#define GGML_SYCL_DEQUANTIZE_HPP
#include "common.hpp"
+#include "convert.hpp"
typedef void (*dequantize_kernel_t)(const void * vx, const int64_t ib, const int iqs, dfloat2 & v);
typedef void (*dequantize_kernel_t_reorder)(const void *d, const int64_t ib, const void *qs,
const int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, ne13, s1, s2, s3, offset);
});
}
const sycl::uint3 neqk1_magic = init_fastdiv_values(neqk1);
const sycl::uint3 rq3_magic = init_fastdiv_values(rq3);
- int cc = ggml_sycl_info().devices[ggml_sycl_get_device()].cc;
-
switch (S_v) {
case 16:
{
constexpr int sv = 16;
stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
- [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+ [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
sb3, neqk1_magic, rq3_magic, scale);
{
constexpr int sv = 32;
stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
- [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+ [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
gated_delta_net_sycl<sv, KDA>(q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens,
n_seqs, sq1, sq2, sq3, sv1, sv2, sv3, sb1, sb2,
sb3, neqk1_magic, rq3_magic, scale);
{
constexpr int sv = 64;
stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
- [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+ [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
gated_delta_net_sycl<sv, KDA>(
q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
{
constexpr int sv = 128;
stream->parallel_for(sycl::nd_range<3>(grid_dims * block_dims, block_dims),
- [=](sycl::nd_item<3> item_ct1) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
+ [=](sycl::nd_item<3> /*item_ct1*/) [[sycl::reqd_sub_group_size(WARP_SIZE)]] {
gated_delta_net_sycl<sv, KDA>(
q_d, k_d, v_d, g_d, b_d, s_d, dst_d, H, n_tokens, n_seqs, sq1, sq2,
sq3, sv1, sv2, sv3, sb1, sb2, sb3, neqk1_magic, rq3_magic, scale);
struct ggml_tensor * a = op->src[0];
struct ggml_tensor * b = op->src[1];
+ // disable Q1_0 until implementation
+ if (a->type == GGML_TYPE_Q1_0 || b->type == GGML_TYPE_Q1_0) {
+ return false;
+ }
+
if (a->ne[3] != b->ne[3]) {
return false;
}
ggml_type src0_type = op->src[0]->type;
+
+
// TODO: The configuration below needs more work to be supported with oneDNN
if (ggml_is_permuted(a) && !ggml_is_contiguous(a) &&
a->ne[2] > 1 && a->ne[3] > 1 && src0_type == GGML_TYPE_F16) {
sycl::nd_range<3>(
sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3);
});
}
sycl::nd_range<3>(
sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
upscale_f32_bilinear_antialias(
x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
sycl::nd_range<3>(
sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
upscale_f32_bilinear(
x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst, ne12_dst,
ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);
sycl::nd_range<3>(
sycl::range<3>(1, 1, num_blocks) * sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_UPSCALE_BLOCK_SIZE)),
- [=](sycl::nd_item<3> item_ct1) {
+ [=](sycl::nd_item<3> /*item_ct1*/) {
upscale_f32_bicubic(
x, dst, nb00, nb01, nb02, nb03, ne00_src, ne01_src, ne10_dst, ne11_dst,
ne12_dst, ne13_dst, sf0, sf1, sf2, sf3, pixel_offset);