Compare commits

...
4 Commits
Author SHA1 Message Date
Xuan-Son NguyenandGeorgi Gerganov aa3b7a90b4 arg: add --cache-list argument to list cached models (#17073)
* arg: add --cache-list argument to list cached models

* new manifest naming format

* improve naming

* Update common/arg.cpp

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2025-11-08 21:54:14 +01:00
chansikpark 333f2595a3 webui: fix keyboard shortcuts for new chat & edit chat title (#17007) 2025-11-08 20:52:35 +01:00
Jeff Bolz 53d7d21e61 vulkan: Use spec constants for conv2d s/d/p and kernel W/H (#16978)
* vulkan: Use spec constants for conv2d s/d/p and kernel W/H

Also add some additional unroll hints, which seems to help.

* lock around map lookup
2025-11-08 13:24:29 -06:00
Aidan eeee367de5 server: fix correct time_ms calculation in prompt_progress (#17093)
* fix: correct time_ms calculation in send_partial_response

The time_ms field was incorrectly calculated. The division was happening
before the subtraction leading to incorrect values.

Before: (ggml_time_us() - slot.t_start_process_prompt / 1000) After:
(ggml_time_us() - slot.t_start_process_prompt) / 1000

* docs : document time_ms field in prompt_progress
2025-11-08 15:12:11 +02:00
11 changed files with 239 additions and 84 deletions
+14
View File
@@ -740,6 +740,20 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
exit(0);
}
));
add_opt(common_arg(
{"-cl", "--cache-list"},
"show list of models in cache",
[](common_params &) {
printf("model cache directory: %s\n", fs_get_cache_directory().c_str());
auto models = common_list_cached_models();
printf("number of models in cache: %zu\n", models.size());
for (size_t i = 0; i < models.size(); i++) {
auto & model = models[i];
printf("%4d. %s\n", (int) i + 1, model.to_string().c_str());
}
exit(0);
}
));
add_opt(common_arg(
{"--completion-bash"},
"print source-able bash completion script for llama.cpp",
+33
View File
@@ -908,6 +908,39 @@ std::string fs_get_cache_file(const std::string & filename) {
return cache_directory + filename;
}
std::vector<common_file_info> fs_list_files(const std::string & path) {
std::vector<common_file_info> files;
if (path.empty()) return files;
std::filesystem::path dir(path);
if (!std::filesystem::exists(dir) || !std::filesystem::is_directory(dir)) {
return files;
}
for (const auto & entry : std::filesystem::directory_iterator(dir)) {
try {
// Only include regular files (skip directories)
const auto & p = entry.path();
if (std::filesystem::is_regular_file(p)) {
common_file_info info;
info.path = p.string();
info.name = p.filename().string();
try {
info.size = static_cast<size_t>(std::filesystem::file_size(p));
} catch (const std::filesystem::filesystem_error &) {
info.size = 0;
}
files.push_back(std::move(info));
}
} catch (const std::filesystem::filesystem_error &) {
// skip entries we cannot inspect
continue;
}
}
return files;
}
//
// Model utils
+7
View File
@@ -611,6 +611,13 @@ bool fs_create_directory_with_parents(const std::string & path);
std::string fs_get_cache_directory();
std::string fs_get_cache_file(const std::string & filename);
struct common_file_info {
std::string path;
std::string name;
size_t size = 0; // in bytes
};
std::vector<common_file_info> fs_list_files(const std::string & path);
//
// Model utils
//
+45 -5
View File
@@ -50,6 +50,22 @@ using json = nlohmann::ordered_json;
// downloader
//
// validate repo name format: owner/repo
static bool validate_repo_name(const std::string & repo) {
static const std::regex repo_regex(R"(^[A-Za-z0-9_.\-]+\/[A-Za-z0-9_.\-]+$)");
return std::regex_match(repo, repo_regex);
}
static std::string get_manifest_path(const std::string & repo, const std::string & tag) {
// we use "=" to avoid clashing with other component, while still being allowed on windows
std::string fname = "manifest=" + repo + "=" + tag + ".json";
if (!validate_repo_name(repo)) {
throw std::runtime_error("error: repo name must be in the format 'owner/repo'");
}
string_replace_all(fname, "/", "=");
return fs_get_cache_file(fname);
}
static std::string read_file(const std::string & fname) {
std::ifstream file(fname);
if (!file) {
@@ -829,17 +845,13 @@ common_hf_file_res common_get_hf_file(const std::string & hf_repo_with_tag, cons
// Important: the User-Agent must be "llama-cpp" to get the "ggufFile" field in the response
// User-Agent header is already set in common_remote_get_content, no need to set it here
// we use "=" to avoid clashing with other component, while still being allowed on windows
std::string cached_response_fname = "manifest=" + hf_repo + "=" + tag + ".json";
string_replace_all(cached_response_fname, "/", "_");
std::string cached_response_path = fs_get_cache_file(cached_response_fname);
// make the request
common_remote_params params;
params.headers = headers;
long res_code = 0;
std::string res_str;
bool use_cache = false;
std::string cached_response_path = get_manifest_path(hf_repo, tag);
if (!offline) {
try {
auto res = common_remote_get_content(url, params);
@@ -895,6 +907,33 @@ common_hf_file_res common_get_hf_file(const std::string & hf_repo_with_tag, cons
return { hf_repo, ggufFile, mmprojFile };
}
std::vector<common_cached_model_info> common_list_cached_models() {
std::vector<common_cached_model_info> models;
const std::string cache_dir = fs_get_cache_directory();
const std::vector<common_file_info> files = fs_list_files(cache_dir);
for (const auto & file : files) {
if (string_starts_with(file.name, "manifest=") && string_ends_with(file.name, ".json")) {
common_cached_model_info model_info;
model_info.manifest_path = file.path;
std::string fname = file.name;
string_replace_all(fname, ".json", ""); // remove extension
auto parts = string_split<std::string>(fname, '=');
if (parts.size() == 4) {
// expect format: manifest=<user>=<model>=<tag>=<other>
model_info.user = parts[1];
model_info.model = parts[2];
model_info.tag = parts[3];
} else {
// invalid format
continue;
}
model_info.size = 0; // TODO: get GGUF size, not manifest size
models.push_back(model_info);
}
}
return models;
}
//
// Docker registry functions
//
@@ -959,6 +998,7 @@ std::string common_docker_resolve_model(const std::string & docker) {
std::string token = common_docker_get_token(repo); // Get authentication token
// Get manifest
// TODO: cache the manifest response so that it appears in the model list
const std::string url_prefix = "https://registry-1.docker.io/v2/" + repo;
std::string manifest_url = url_prefix + "/manifests/" + tag;
common_remote_params manifest_params;
+18 -4
View File
@@ -8,16 +8,23 @@ struct common_params_model;
// download functionalities
//
struct common_cached_model_info {
std::string manifest_path;
std::string user;
std::string model;
std::string tag;
size_t size = 0; // GGUF size in bytes
std::string to_string() const {
return user + "/" + model + ":" + tag;
}
};
struct common_hf_file_res {
std::string repo; // repo name with ":tag" removed
std::string ggufFile;
std::string mmprojFile;
};
// resolve and download model from Docker registry
// return local path to downloaded model file
std::string common_docker_resolve_model(const std::string & docker);
/**
* Allow getting the HF file from the HF repo with tag (like ollama), for example:
* - bartowski/Llama-3.2-3B-Instruct-GGUF:q4
@@ -39,3 +46,10 @@ bool common_download_model(
const common_params_model & model,
const std::string & bearer_token,
bool offline);
// returns list of cached models
std::vector<common_cached_model_info> common_list_cached_models();
// resolve and download model from Docker registry
// return local path to downloaded model file
std::string common_docker_resolve_model(const std::string & docker);
+79 -35
View File
@@ -351,6 +351,12 @@ enum vk_conv_shapes {
CONV_SHAPE_COUNT,
};
uint32_t conv_shapes_wg_denoms[][3] = {
{ 128, 128, 1 },
{ 64, 32, 1 },
{ 32, 256, 1 },
};
enum dmmv_wg_sizes {
DMMV_WG_SIZE_SUBGROUP,
DMMV_WG_SIZE_LARGE,
@@ -379,6 +385,18 @@ struct vk_fa_pipeline_state {
}
};
struct vk_conv2d_pipeline_state {
vk_conv2d_pipeline_state(uint32_t s0, uint32_t s1, uint32_t p0, uint32_t p1, uint32_t d0, uint32_t d1, uint32_t KW, uint32_t KH)
: s0(s0), s1(s1), p0(p0), p1(p1), d0(d0), d1(d1), KW(KW), KH(KH) {}
uint32_t s0, s1, p0, p1, d0, d1, KW, KH;
bool operator<(const vk_conv2d_pipeline_state &b) const {
return std::tie(s0, s1, p0, p1, d0, d1, KW, KH) <
std::tie(b.s0, b.s1, b.p0, b.p1, b.d0, b.d1, b.KW, b.KH);
}
};
enum shader_reduction_mode {
SHADER_REDUCTION_MODE_SHMEM,
SHADER_REDUCTION_MODE_HYBRID,
@@ -675,10 +693,10 @@ struct vk_device_struct {
vk_pipeline pipeline_ssm_conv_f32;
vk_pipeline pipeline_opt_step_adamw_f32;
vk_pipeline pipeline_opt_step_sgd_f32;
vk_pipeline pipeline_conv2d_f32[CONV_SHAPE_COUNT];
vk_pipeline pipeline_conv2d_f16_f32[CONV_SHAPE_COUNT];
vk_pipeline pipeline_conv_transpose_2d_f32[CONV_SHAPE_COUNT];
vk_pipeline pipeline_conv_transpose_2d_f16_f32[CONV_SHAPE_COUNT];
std::map<vk_conv2d_pipeline_state, vk_pipeline> pipeline_conv2d_f32[CONV_SHAPE_COUNT];
std::map<vk_conv2d_pipeline_state, vk_pipeline> pipeline_conv2d_f16_f32[CONV_SHAPE_COUNT];
std::map<vk_conv2d_pipeline_state, vk_pipeline> pipeline_conv_transpose_2d_f32[CONV_SHAPE_COUNT];
std::map<vk_conv2d_pipeline_state, vk_pipeline> pipeline_conv_transpose_2d_f16_f32[CONV_SHAPE_COUNT];
vk_pipeline pipeline_conv2d_dw_whcn_f32, pipeline_conv2d_dw_whcn_f16_f32;
vk_pipeline pipeline_conv2d_dw_cwhn_f32, pipeline_conv2d_dw_cwhn_f16_f32;
@@ -1258,17 +1276,13 @@ struct vk_op_conv2d_push_constants {
uint32_t nb2;
uint32_t nb3;
// init_fastdiv_values constants for dividing by KW, KW*KH, OW, OW*OH
uint32_t KWmp; uint32_t KWL;
uint32_t KWKHmp; uint32_t KWKHL;
// init_fastdiv_values constants for dividing by OW, OW*OH
uint32_t OWmp; uint32_t OWL;
uint32_t OWOHmp; uint32_t OWOHL;
};
template <> void init_pushconst_fastdiv(vk_op_conv2d_push_constants &p) {
// Compute magic values to divide by KW, KW*KH, OW, OW*OH
init_fastdiv_values(p.KW, p.KWmp, p.KWL);
init_fastdiv_values(p.KW*p.KH, p.KWKHmp, p.KWKHL);
// Compute magic values to divide by OW, OW*OH
init_fastdiv_values(p.OW, p.OWmp, p.OWL);
init_fastdiv_values(p.OW*p.OH, p.OWOHmp, p.OWOHL);
}
@@ -1304,23 +1318,15 @@ struct vk_op_conv_transpose_2d_push_constants {
uint32_t nb2;
uint32_t nb3;
// init_fastdiv_values constants for dividing by KW, KW*KH, OW, OW*OH, s0, s1
uint32_t KWmp; uint32_t KWL;
uint32_t KWKHmp; uint32_t KWKHL;
// init_fastdiv_values constants for dividing by OW, OW*OH
uint32_t OWmp; uint32_t OWL;
uint32_t OWOHmp; uint32_t OWOHL;
uint32_t s0mp; uint32_t s0L;
uint32_t s1mp; uint32_t s1L;
};
template <> void init_pushconst_fastdiv(vk_op_conv_transpose_2d_push_constants &p) {
// Compute magic values to divide by KW, KW*KH, OW, OW*OH, s0, s1
init_fastdiv_values(p.KW, p.KWmp, p.KWL);
init_fastdiv_values(p.KW*p.KH, p.KWKHmp, p.KWKHL);
// Compute magic values to divide by OW, OW*OH
init_fastdiv_values(p.OW, p.OWmp, p.OWL);
init_fastdiv_values(p.OW*p.OH, p.OWOHmp, p.OWOHL);
init_fastdiv_values(p.s0, p.s0mp, p.s0L);
init_fastdiv_values(p.s1, p.s1mp, p.s1L);
}
struct vk_op_conv2d_dw_push_constants {
@@ -3858,22 +3864,22 @@ static void ggml_vk_load_shaders(vk_device& device) {
switch (s) {
default:
case CONV_SHAPE_128x128:
conv2d_BS_K = 128;
conv2d_BS_NPQ = 128;
conv2d_BS_K = conv_shapes_wg_denoms[CONV_SHAPE_128x128][0];
conv2d_BS_NPQ = conv_shapes_wg_denoms[CONV_SHAPE_128x128][1];
conv2d_BS_CRS = 16;
if (device->vendor_id == VK_VENDOR_ID_AMD && device->architecture != vk_device_architecture::AMD_GCN) {
conv2d_UNROLL = false;
}
break;
case CONV_SHAPE_64x32:
conv2d_BS_K = 64;
conv2d_BS_NPQ = 32;
conv2d_BS_K = conv_shapes_wg_denoms[CONV_SHAPE_64x32][0];
conv2d_BS_NPQ = conv_shapes_wg_denoms[CONV_SHAPE_64x32][1];
conv2d_BS_CRS = 32;
conv2d_TS_K = 4;
break;
case CONV_SHAPE_32x256:
conv2d_BS_K = 32;
conv2d_BS_NPQ = 256;
conv2d_BS_K = conv_shapes_wg_denoms[CONV_SHAPE_32x256][0];
conv2d_BS_NPQ = conv_shapes_wg_denoms[CONV_SHAPE_32x256][1];
conv2d_BS_CRS = 16;
break;
}
@@ -3907,10 +3913,22 @@ static void ggml_vk_load_shaders(vk_device& device) {
std::vector<uint32_t> spec_constants = { conv2d_WG_SIZE, conv2d_BS_K, conv2d_BS_CRS, conv2d_BS_NPQ, conv2d_TS_K, use_collectives, conv2d_SHMEM_PAD };
#define CREATE_CONV(name, type_suffix, spv_suffix) \
ggml_vk_create_pipeline( \
device, device->pipeline_##name##type_suffix[s], #name #type_suffix, \
name##type_suffix##spv_suffix##_len, name##type_suffix##spv_suffix##_data, "main", 3, \
sizeof(vk_op_##name##_push_constants), wg_denoms, spec_constants, 1, true, use_collectives);
for (auto &c : device->pipeline_##name##type_suffix[s]) { \
const vk_conv2d_pipeline_state &state = c.first; \
std::vector<uint32_t> spec_constants_cpy = spec_constants; \
spec_constants_cpy.push_back(state.s0); \
spec_constants_cpy.push_back(state.s1); \
spec_constants_cpy.push_back(state.p0); \
spec_constants_cpy.push_back(state.p1); \
spec_constants_cpy.push_back(state.d0); \
spec_constants_cpy.push_back(state.d1); \
spec_constants_cpy.push_back(state.KW); \
spec_constants_cpy.push_back(state.KH); \
ggml_vk_create_pipeline( \
device, c.second, #name #type_suffix, \
name##type_suffix##spv_suffix##_len, name##type_suffix##spv_suffix##_data, "main", 3, \
sizeof(vk_op_##name##_push_constants), wg_denoms, spec_constants_cpy, 1, true, use_collectives); \
}
#define CREATE_CONVS(spv_suffix) \
CREATE_CONV(conv2d, _f32, spv_suffix) \
CREATE_CONV(conv2d, _f16_f32, spv_suffix) \
@@ -8536,7 +8554,7 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
uint32_t tiles[CONV_SHAPE_COUNT];
for (uint32_t i = 0; i < CONV_SHAPE_COUNT; ++i) {
tiles[i] = CEIL_DIV(elements[0], ctx->device->pipeline_conv2d_f32[i]->wg_denoms[0]) * CEIL_DIV(elements[1], ctx->device->pipeline_conv2d_f32[i]->wg_denoms[1]);
tiles[i] = CEIL_DIV(elements[0], conv_shapes_wg_denoms[i][0]) * CEIL_DIV(elements[1], conv_shapes_wg_denoms[i][1]);
}
// We can't query number of shader cores on Intel, use 32 as a placeholder
@@ -8551,19 +8569,45 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
shape = CONV_SHAPE_64x32;
}
uint32_t KW = static_cast<uint32_t>(src0->ne[0]);
uint32_t KH = static_cast<uint32_t>(src0->ne[1]);
uint32_t s0 = static_cast<uint32_t>(dst->op_params[0]);
uint32_t s1 = op == GGML_OP_CONV_2D ? static_cast<uint32_t>(dst->op_params[1]) : static_cast<uint32_t>(dst->op_params[0]);
uint32_t p0 = op == GGML_OP_CONV_2D ? static_cast<uint32_t>(dst->op_params[2]) : 0;
uint32_t p1 = op == GGML_OP_CONV_2D ? static_cast<uint32_t>(dst->op_params[3]) : 0;
uint32_t d0 = op == GGML_OP_CONV_2D ? static_cast<uint32_t>(dst->op_params[4]) : 1;
uint32_t d1 = op == GGML_OP_CONV_2D ? static_cast<uint32_t>(dst->op_params[5]) : 1;
vk_conv2d_pipeline_state conv2d_pipeline_state(s0, s1, p0, p1, d0, d1, KW, KH);
std::map<vk_conv2d_pipeline_state, vk_pipeline> *pipelines = nullptr;
if (op == GGML_OP_CONV_2D) {
if (src0->type == GGML_TYPE_F32) {
return ctx->device->pipeline_conv2d_f32[shape];
pipelines = &ctx->device->pipeline_conv2d_f32[shape];
} else if (src0->type == GGML_TYPE_F16) {
return ctx->device->pipeline_conv2d_f16_f32[shape];
pipelines = &ctx->device->pipeline_conv2d_f16_f32[shape];
}
} else if (op == GGML_OP_CONV_TRANSPOSE_2D) {
if (src0->type == GGML_TYPE_F32) {
return ctx->device->pipeline_conv_transpose_2d_f32[shape];
pipelines = &ctx->device->pipeline_conv_transpose_2d_f32[shape];
} else if (src0->type == GGML_TYPE_F16) {
return ctx->device->pipeline_conv_transpose_2d_f16_f32[shape];
pipelines = &ctx->device->pipeline_conv_transpose_2d_f16_f32[shape];
}
}
vk_pipeline pipeline = nullptr;
{
std::lock_guard<std::recursive_mutex> guard(ctx->device->mutex);
auto it = pipelines->find(conv2d_pipeline_state);
if (it != pipelines->end()) {
pipeline = it->second;
} else {
(*pipelines)[conv2d_pipeline_state] = pipeline = std::make_shared<vk_pipeline_struct>();
}
}
return pipeline;
}
return nullptr;
case GGML_OP_CONV_2D_DW:
@@ -62,14 +62,8 @@ layout(push_constant) uniform parameter {
uint32_t nb3;
// fastdiv helper values
uint32_t KWmp; uint32_t KWL;
uint32_t KWKHmp; uint32_t KWKHL;
uint32_t OWmp; uint32_t OWL;
uint32_t OWOHmp; uint32_t OWOHL;
#ifdef TRANSPOSE
uint32_t s0mp; uint32_t s0L;
uint32_t s1mp; uint32_t s1L;
#endif
}
p;
@@ -84,6 +78,15 @@ layout(constant_id = 4) const uint TS_K = 8;
layout(constant_id = 5) const uint use_collectives = 1;
layout(constant_id = 6) const uint SHMEM_PAD = 4;
layout(constant_id = 7) const uint s0 = 1;
layout(constant_id = 8) const uint s1 = 1;
layout(constant_id = 9) const uint p0 = 0;
layout(constant_id = 10) const uint p1 = 0;
layout(constant_id = 11) const uint d0 = 1;
layout(constant_id = 12) const uint d1 = 1;
layout(constant_id = 13) const uint KW = 1;
layout(constant_id = 14) const uint KH = 1;
uint32_t tid = gl_LocalInvocationID.x;
const uint32_t WG_SIZE = gl_WorkGroupSize.x;
@@ -92,7 +95,7 @@ uint splitWork(uint work_size, uint block_size) {
}
uint32_t K = p.Cout;
uint32_t CRS = p.Cin * p.KH * p.KW;
uint32_t CRS = p.Cin * KH * KW;
uint32_t NPQ = p.N * p.OH * p.OW;
uint32_t n_elems_out = K * NPQ;
@@ -187,7 +190,7 @@ void main() {
}
#endif
/* Advance block in CRS dim */
for (uint32_t B_idx_CRS = 0; B_idx_CRS < NB_CRS; B_idx_CRS++) {
[[dont_unroll]] for (uint32_t B_idx_CRS = 0; B_idx_CRS < NB_CRS; B_idx_CRS++) {
uint32_t CRS_idx_a;
uint32_t Cin_idx_a;
uint32_t KH_idx_a;
@@ -200,10 +203,10 @@ void main() {
uint32_t cached_KW_idx;
if (use_collectives == 1) {
cached_CRS_idx = B_idx_CRS * BS_CRS + gl_SubgroupInvocationID;
cached_Cin_idx = fastdiv(cached_CRS_idx, p.KWKHmp, p.KWKHL); // divide by (p.KW * p.KH);
uint32_t cached_CRS_remainder = (cached_CRS_idx - cached_Cin_idx * p.KW * p.KH);
cached_KH_idx = fastdiv(cached_CRS_remainder, p.KWmp, p.KWL); // divide by p.KW;
cached_KW_idx = cached_CRS_remainder - cached_KH_idx * p.KW;
cached_Cin_idx = cached_CRS_idx / (KW * KH);
uint32_t cached_CRS_remainder = cached_CRS_idx % (KW * KH);
cached_KH_idx = cached_CRS_remainder / KW;
cached_KW_idx = cached_CRS_remainder % KW;
CRS_idx_a = subgroupShuffle(cached_CRS_idx, Ac);
Cin_idx_a = subgroupShuffle(cached_Cin_idx, Ac);
@@ -211,21 +214,21 @@ void main() {
KW_idx_a = subgroupShuffle(cached_KW_idx, Ac);
} else {
CRS_idx_a = B_idx_CRS * BS_CRS + Ac; // Global CRS_idx_a (column index of A)
Cin_idx_a = fastdiv(CRS_idx_a, p.KWKHmp, p.KWKHL); // divide by (p.KW * p.KH);
uint32_t CRS_remainder = CRS_idx_a - Cin_idx_a * p.KW * p.KH;
KH_idx_a = fastdiv(CRS_remainder, p.KWmp, p.KWL); // divide by p.KW;
KW_idx_a = CRS_remainder - KH_idx_a * p.KW;
Cin_idx_a = CRS_idx_a / (KW * KH);
uint32_t CRS_remainder = CRS_idx_a % (KW * KH);
KH_idx_a = CRS_remainder / KW;
KW_idx_a = CRS_remainder % KW;
}
#else
CRS_idx_a = B_idx_CRS * BS_CRS + Ac; // Global CRS_idx_a (column index of A)
Cin_idx_a = fastdiv(CRS_idx_a, p.KWKHmp, p.KWKHL); // divide by (p.KW * p.KH); / (p.KW * p.KH);
CRS_remainder = CRS_idx_a - Cin_idx_a * p.KW * p.KH;
KH_idx_a = fastdiv(CRS_remainder, p.KWmp, p.KWL); // divide by p.KW;
KW_idx_a = CRS_remainder - KH_idx_a * p.KW;
Cin_idx_a = CRS_idx_a / (KW * KH);
CRS_remainder = CRS_idx_a % (KW * KH);
KH_idx_a = CRS_remainder / KW;
KW_idx_a = CRS_remainder % KW;
#endif
/* Load kernel to A_block: (BS_K x BS_CRS)*/
for (uint32_t r_offset = 0; r_offset < BS_K; r_offset += ArpWg) {
UNROLL for (uint32_t r_offset = 0; r_offset < BS_K; r_offset += ArpWg) {
uint32_t B_ly = r_offset + Ar;
uint32_t B_lx = Ac;
uint32_t K_idx = B_idx_K * BS_K + B_ly; /* Global K_idx (row index of A)*/
@@ -262,27 +265,27 @@ void main() {
KW_idx_b = subgroupShuffle(cached_KW_idx, r_offset + Br);
} else {
CRS_idx_b = B_idx_CRS * BS_CRS + B_ly; /* Global CRS index (row index of B) */
Cin_idx_b = fastdiv(CRS_idx_b, p.KWKHmp, p.KWKHL); // divide by (p.KW * p.KH);
uint32_t CRS_remainder = CRS_idx_b - Cin_idx_b * p.KW * p.KH;
KH_idx_b = fastdiv(CRS_remainder, p.KWmp, p.KWL); // divide by p.KW;
KW_idx_b = CRS_remainder - KH_idx_b * p.KW;
Cin_idx_b = CRS_idx_b / (KW * KH);
uint32_t CRS_remainder = CRS_idx_b % (KW * KH);
KH_idx_b = CRS_remainder / KW;
KW_idx_b = CRS_remainder % KW;
}
#else
CRS_idx_b = B_idx_CRS * BS_CRS + B_ly; /* Global CRS index (row index of B) */
Cin_idx_b = fastdiv(CRS_idx_b, p.KWKHmp, p.KWKHL); // divide by (p.KW * p.KH);
uint32_t CRS_remainder = CRS_idx_b - Cin_idx_b * p.KW * p.KH;
KH_idx_b = fastdiv(CRS_remainder, p.KWmp, p.KWL); // divide by p.KW;
KW_idx_b = CRS_remainder - KH_idx_b * p.KW;
Cin_idx_b = CRS_idx_b / (KW * KH);
uint32_t CRS_remainder = CRS_idx_b % (KW * KH);
KH_idx_b = CRS_remainder / KW;
KW_idx_b = CRS_remainder % KW;
#endif
#ifdef TRANSPOSE
uint32_t H_idx_x_s1 = OH_idx - KH_idx_b * p.d1 + p.p1;
uint32_t W_idx_x_s0 = OW_idx - KW_idx_b * p.d0 + p.p0;
uint32_t H_idx = fastdiv(H_idx_x_s1, p.s1mp, p.s1L);
uint32_t W_idx = fastdiv(W_idx_x_s0, p.s0mp, p.s0L);
uint32_t H_idx_x_s1 = OH_idx - KH_idx_b * d1 + p1;
uint32_t W_idx_x_s0 = OW_idx - KW_idx_b * d0 + p0;
uint32_t H_idx = H_idx_x_s1 / s1;
uint32_t W_idx = W_idx_x_s0 / s0;
#else
uint32_t H_idx = OH_idx * p.s1 + KH_idx_b * p.d1 - p.p1;
uint32_t W_idx = OW_idx * p.s0 + KW_idx_b * p.d0 - p.p0;
uint32_t H_idx = OH_idx * s1 + KH_idx_b * d1 - p1;
uint32_t W_idx = OW_idx * s0 + KW_idx_b * d0 - p0;
#endif
uint32_t src_idx =
min(max(W_idx + H_idx * p.nb11 + Cin_idx_b * p.nb12 + N_idx * p.nb13, 0), p.Cin * p.N * p.W * p.H - 1);
@@ -290,7 +293,7 @@ void main() {
if (CRS_idx_b >= CRS || NPQ_idx >= NPQ
|| H_idx >= p.H || W_idx >= p.W // Lower bound checks aren't necessary. (idx >= 0x80000000 for such case)
#ifdef TRANSPOSE
|| (H_idx_x_s1 - H_idx * p.s1 != 0) || (W_idx_x_s0 - W_idx * p.s0 != 0)
|| (H_idx_x_s1 - H_idx * s1 != 0) || (W_idx_x_s0 - W_idx * s0 != 0)
#endif
) {
val = 0.0;
+1 -1
View File
@@ -512,7 +512,7 @@ These words will not be included in the completion, so make sure to add them to
`timings_per_token`: Include prompt processing and text generation speed information in each response. Default: `false`
`return_progress`: Include prompt processing progress in `stream` mode. The progress will be contained inside `prompt_progress` with 3 values: `total`, `cache` and `processed`. The overall progress is `processed/total`, while the actual timed progress is `(processed-cache)/(total-cache)`. Default: `false`
`return_progress`: Include prompt processing progress in `stream` mode. The progress will be contained inside `prompt_progress` with 4 values: `total`, `cache`, `processed`, and `time_ms`. The overall progress is `processed/total`, while the actual timed progress is `(processed-cache)/(total-cache)`. The `time_ms` field contains the elapsed time in milliseconds since prompt processing started. Default: `false`
`post_sampling_probs`: Returns the probabilities of top `n_probs` tokens after applying sampling chain.
Binary file not shown.
+1 -1
View File
@@ -3078,7 +3078,7 @@ struct server_context {
res->progress.total = slot.task->n_tokens();
res->progress.cache = slot.n_prompt_tokens_cache;
res->progress.processed = slot.prompt.tokens.size();
res->progress.time_ms = (ggml_time_us() - slot.t_start_process_prompt / 1000);
res->progress.time_ms = (ggml_time_us() - slot.t_start_process_prompt) / 1000;
} else {
res->content = tkn.text_to_send;
res->tokens = { tkn.tok };
+2 -2
View File
@@ -44,12 +44,12 @@
}
}
if (isCtrlOrCmd && event.shiftKey && event.key === 'o') {
if (isCtrlOrCmd && event.shiftKey && event.key === 'O') {
event.preventDefault();
goto('?new_chat=true#/');
}
if (event.shiftKey && isCtrlOrCmd && event.key === 'e') {
if (event.shiftKey && isCtrlOrCmd && event.key === 'E') {
event.preventDefault();
if (chatSidebar?.editActiveConversation) {