ikawrakow/ik_llama.cpp
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Port of Qwen3-VL support from mainline (#883)

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* Port of Qwen3-VL for latest ik_llama.cpp

- convert_hf_to_gguf.py - Not touched, use llama.cpp to convert model instead
- sysl and metal support for imrope not added
- Vulkan support for imrope not tested
- Code not tested

* Bugfix n_embd was declared multiple times

https://github.com/ikawrakow/ik_llama.cpp/pull/883#issuecomment-3471179655

* Fix n_embd issue with qwen3vl

* model.output tensor not required

https://github.com/ikawrakow/ik_llama.cpp/pull/883#discussion_r2480388389

* Improved logic for qkv combined tensors

59ceaf8fcb (r2480395800)
59ceaf8fcb (r2480398187)

* Fix n_embd for merge_qkv() + cleaner code

https://github.com/ikawrakow/ik_llama.cpp/pull/883#discussion_r2481227395

* Revert TENSOR_NOT_REQUIRED
This commit is contained in:
Thireus ☠
2025-11-04 17:20:54 +00:00
committed by GitHub
parent efcb5f9d9e
commit 86597623a5
21 changed files with 850 additions and 78 deletions
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1
ggml/include/ggml.h
View File

@@ -259,6 +259,7 @@
#define GGML_ROPE_TYPE_NEOX 2
#define GGML_ROPE_TYPE_MROPE 8
#define GGML_ROPE_TYPE_VISION 24
#define GGML_ROPE_TYPE_IMROPE 40 // binary: 101000
#define GGML_MROPE_SECTIONS 4

45
ggml/src/ggml-cuda/rope.cu
View File

@@ -345,7 +345,7 @@ template<bool forward, bool has_ff, typename T>
static __global__ void rope_multi(
const T * x, T * dst, const int ne0, const int ne1, const int ne2, const int s1, const int s2,
const int n_dims, const int32_t * pos, const float freq_scale, const float ext_factor, const float attn_factor,
const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors, const mrope_sections sections) {
const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors, const mrope_sections sections, const bool is_imrope) {
const int i0 = 2*(blockDim.y*blockIdx.y + threadIdx.y);
if (i0 >= ne0) {
@@ -372,17 +372,27 @@ static __global__ void rope_multi(
const int sector = (i0 / 2) % sect_dims;
float theta_base = 0.0;
if (sector < sections.v[0]) {
theta_base = pos[channel_x]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sections.v[0] && sector < sec_w) {
theta_base = pos[channel_x + ne2 * 1]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
theta_base = pos[channel_x + ne2 * 2]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sec_w + sections.v[2]) {
theta_base = pos[channel_x + ne2 * 3]*powf(theta_scale, i0/2.0f);
if (is_imrope) {
if (sector % 3 == 1 && sector < 3 * sections.v[1]) { // h
theta_base = pos[channel_x + ne2 * 1]*powf(theta_scale, i0/2.0f);
} else if (sector % 3 == 2 && sector < 3 * sections.v[2]) { // w
theta_base = pos[channel_x + ne2 * 2]*powf(theta_scale, i0/2.0f);
} else if (sector % 3 == 0 && sector < 3 * sections.v[0]) { // t
theta_base = pos[channel_x]*powf(theta_scale, i0/2.0f);
}
} else {
if (sector < sections.v[0]) {
theta_base = pos[channel_x]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sections.v[0] && sector < sec_w) {
theta_base = pos[channel_x + ne2 * 1]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + sections.v[2]) {
theta_base = pos[channel_x + ne2 * 2]*powf(theta_scale, i0/2.0f);
}
else if (sector >= sec_w + sections.v[2]) {
theta_base = pos[channel_x + ne2 * 3]*powf(theta_scale, i0/2.0f);
}
}
const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
@@ -574,7 +584,7 @@ template<bool forward, typename T>
static void rope_multi_cuda(
const T * x, T * dst, const int ne0, const int ne1, const int ne2, const int s1, const int s2, const int n_dims, const int nr,
const int32_t * pos, const float freq_scale, const float freq_base, const float ext_factor, const float attn_factor,
const rope_corr_dims corr_dims, const float * freq_factors, const mrope_sections sections, cudaStream_t stream) {
const rope_corr_dims corr_dims, const float * freq_factors, const mrope_sections sections, const bool is_imrope, cudaStream_t stream) {
GGML_ASSERT(ne0 % 2 == 0);
const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1);
const int n_blocks_x = (ne0 + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
@@ -585,11 +595,11 @@ static void rope_multi_cuda(
if (freq_factors == nullptr) {
rope_multi<forward, false, T><<<block_nums, block_dims, 0, stream>>>(
x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor,
attn_factor, corr_dims, theta_scale, freq_factors, sections);
attn_factor, corr_dims, theta_scale, freq_factors, sections, is_imrope);
} else {
rope_multi<forward, true, T><<<block_nums, block_dims, 0, stream>>>(
x, dst, ne0, ne1, ne2, s1, s2, n_dims, pos, freq_scale, ext_factor,
attn_factor, corr_dims, theta_scale, freq_factors, sections);
attn_factor, corr_dims, theta_scale, freq_factors, sections, is_imrope);
}
}
@@ -667,6 +677,7 @@ void ggml_cuda_op_rope_impl(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE;
const bool is_imrope = mode == GGML_ROPE_TYPE_IMROPE;
const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
if (is_mrope) {
@@ -704,11 +715,11 @@ void ggml_cuda_op_rope_impl(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
if (src0->type == GGML_TYPE_F32) {
rope_multi_cuda<forward>(
(const float *) src0_d, (float *) dst_d, ne00, ne01, ne02, s01, s02, n_dims, nr, pos, freq_scale,
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, stream);
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, is_imrope, stream);
} else if (src0->type == GGML_TYPE_F16) {
rope_multi_cuda<forward>(
(const half *) src0_d, (half *) dst_d, ne00, ne01, ne02, s01, s02, n_dims, nr, pos, freq_scale,
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, stream);
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, is_imrope, stream);
} else {
GGML_ABORT("fatal error");
}

8
ggml/src/ggml-vulkan.cpp
View File

@@ -815,6 +815,7 @@ struct vk_op_rope_push_constants {
uint32_t s1;
uint32_t s2;
int32_t sections[4];
uint32_t is_imrope;
uint32_t is_back;
};
@@ -6754,6 +6755,7 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
const int mode = ((const int32_t *) dst->op_params)[2];
const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE;
const bool is_imrope = mode == GGML_ROPE_TYPE_IMROPE;
const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
if (is_neox) {
@@ -6763,7 +6765,7 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
return ctx->device->pipeline_rope_neox_f16;
}
} else if (is_mrope && !is_vision) {
} else if ((is_mrope || is_imrope) && !is_vision) {
if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
return ctx->device->pipeline_rope_multi_f32;
}
@@ -7970,6 +7972,8 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context& subctx, cons
memcpy(sections, (int32_t *) dst->op_params + 11, sizeof(int)*4);
}
const bool is_imrope = mode == GGML_ROPE_TYPE_IMROPE;
float corr_dims[2];
ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
@@ -7982,7 +7986,7 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context& subctx, cons
(uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1],
freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1]}, theta_scale,
src2 != nullptr, (uint32_t)src0->ne[2], s1, s2,
sections[0], sections[1], sections[2], sections[3], backprop
sections[0], sections[1], sections[2], sections[3], is_imrope, backprop
}, dryrun);
}

36
ggml/src/ggml.c
View File

@@ -18417,7 +18417,7 @@ static void ggml_rope_cache_init(
}
static void ggml_mrope_cache_init(
float theta_base_t, float theta_base_h, float theta_base_w, float theta_base_e, int sections[4], bool indep_sects,
float theta_base_t, float theta_base_h, float theta_base_w, float theta_base_e, int sections[4], bool is_imrope, bool indep_sects,
float freq_scale, const float * freq_factors, float corr_dims[2], int64_t ne0, float ext_factor, float mscale,
float * cache, float sin_sign, float theta_scale) {
// ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
@@ -18452,14 +18452,26 @@ static void ggml_mrope_cache_init(
}
float theta = theta_t;
if (sector >= sections[0] && sector < sec_w) {
theta = theta_h;
}
else if (sector >= sec_w && sector < sec_w + sections[2]) {
theta = theta_w;
}
else if (sector >= sec_w + sections[2]) {
theta = theta_e;
if (is_imrope) { // qwen3vl apply interleaved mrope
if (sector % 3 == 1 && sector < 3 * sections[1]) {
theta = theta_h;
} else if (sector % 3 == 2 && sector < 3 * sections[2]) {
theta = theta_w;
} else if (sector % 3 == 0 && sector < 3 * sections[0]) {
theta = theta_t;
} else {
theta = theta_e;
}
} else {
if (sector >= sections[0] && sector < sec_w) {
theta = theta_h;
}
else if (sector >= sec_w && sector < sec_w + sections[2]) {
theta = theta_w;
}
else if (sector >= sec_w + sections[2]) {
theta = theta_e;
}
}
rope_yarn(
@@ -18707,6 +18719,7 @@ static void ggml_compute_forward_rope_f32(
const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE; // ggml_rope_multi, multimodal rotary position embedding
const bool is_imrope = mode == GGML_ROPE_TYPE_IMROPE; // qwen3vl apply interleaved mrope
const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
if (is_mrope) {
@@ -18745,7 +18758,7 @@ static void ggml_compute_forward_rope_f32(
const int64_t p_w = pos[i2 + ne2 * 2];
const int64_t p_e = pos[i2 + ne2 * 3];
ggml_mrope_cache_init(
p_t, p_h, p_w, p_e, sections, is_vision,
p_t, p_h, p_w, p_e, sections, is_imrope, is_vision,
freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
}
@@ -18893,6 +18906,7 @@ static void ggml_compute_forward_rope_f16(
const bool is_neox = mode & GGML_ROPE_TYPE_NEOX;
const bool is_mrope = mode & GGML_ROPE_TYPE_MROPE;
const bool is_imrope = mode == GGML_ROPE_TYPE_IMROPE;
const bool is_vision = mode == GGML_ROPE_TYPE_VISION;
if (is_mrope) {
@@ -18931,7 +18945,7 @@ static void ggml_compute_forward_rope_f16(
const int64_t p_w = pos[i2 + ne2 * 2];
const int64_t p_e = pos[i2 + ne2 * 3];
ggml_mrope_cache_init(
p_t, p_h, p_w, p_e, sections, is_vision,
p_t, p_h, p_w, p_e, sections, is_imrope, is_vision,
freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
}

1
ggml/src/vulkan-shaders/rope_head.comp
View File

@@ -29,6 +29,7 @@ layout (push_constant) uniform parameter {
uint s1;
uint s2;
int sections[4];
uint is_imrope;
uint is_back;
} p;

34
ggml/src/vulkan-shaders/rope_multi.comp
View File

@@ -32,17 +32,29 @@ void main() {
const uint sector = (i0 / 2) % sect_dims;
float theta_base = 0.0;
if (sector < p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= p.sections[0] && sector < sec_w) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
if (p.is_imrope != 0) {
if (sector % 3 == 1 && sector < 3 * p.sections[1]) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
} else if (sector % 3 == 2 && sector < 3 * p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
} else if (sector % 3 == 0 && sector < 3 * p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
} else {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
}
} else {
if (sector < p.sections[0]) {
theta_base = data_pos[channel_x]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= p.sections[0] && sector < sec_w) {
theta_base = data_pos[channel_x + ne2 * 1]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w && sector < sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 2]*pow(p.theta_scale, i0/2.0f);
}
else if (sector >= sec_w + p.sections[2]) {
theta_base = data_pos[channel_x + ne2 * 3]*pow(p.theta_scale, i0/2.0f);
}
}
const float freq_factor = p.has_ff != 0 ? data_ff[i0/2] : 1.0f;