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Added support for Q2K, IQ1s, IQ4NL quantization types

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leeetao  2025-03-04 15:22:55 +00:00
parent e2cda4cfa0
commit 2f049b8428
4 changed files with 551 additions and 218 deletions
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115
common/common.cpp
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@ -901,13 +901,17 @@ static bool assign_layers_to_device(
float t_read_ram_cpu = 0.0f;
float t_calc_cpu = (
master.model_flops.layer_f32_f32 / (dev.cpu_props.flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.cpu_props.flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.cpu_props.flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.cpu_props.flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.cpu_props.flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.cpu_props.flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.cpu_props.flops_q80_f32 * 1e9 + EPS)) * 1000; // in ms
master.model_flops.layer_f32_f32 / (dev.cpu_props.flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.cpu_props.flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q2k_f32 / (dev.cpu_props.flops_q2k_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.cpu_props.flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.cpu_props.flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.cpu_props.flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.cpu_props.flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.cpu_props.flops_q80_f32 * 1e9 + EPS) +
master.model_flops.layer_iq1s_f32 / (dev.cpu_props.flops_iq1s_f32 * 1e9 + EPS)+
master.model_flops.layer_iq4nl_f32 / (dev.cpu_props.flops_iq4nl_f32 * 1e9 + EPS)) * 1000; // in ms
float t_kv_cpy_cpu = dev.memory.mem_cpy_delay; // in ms
// t_read_ram_cpu = b_prime / (dev.memory.cpu_read_ram_bw * 1e9) * 1000; // in ms
@ -921,24 +925,32 @@ static bool assign_layers_to_device(
if (dev.gpu_support.metal) {
t_calc_gpu = (
master.model_flops.layer_f32_f32 / (dev.gpu_props.metal_flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.gpu_props.metal_flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.gpu_props.metal_flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.gpu_props.metal_flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.gpu_props.metal_flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.gpu_props.metal_flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.gpu_props.metal_flops_q80_f32 * 1e9 + EPS)) * 1000; // in ms
master.model_flops.layer_f32_f32 / (dev.gpu_props.metal_flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.gpu_props.metal_flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q2k_f32 / (dev.gpu_props.metal_flops_q2k_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.gpu_props.metal_flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.gpu_props.metal_flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.gpu_props.metal_flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.gpu_props.metal_flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.gpu_props.metal_flops_q80_f32 * 1e9 + EPS) +
master.model_flops.layer_iq1s_f32 / (dev.gpu_props.metal_flops_iq1s_f32 * 1e9 + EPS) +
master.model_flops.layer_iq4nl_f32 / (dev.gpu_props.metal_flops_iq4nl_f32 * 1e9 + EPS)) * 1000; // in ms
t_kv_cpy_gpu = dev.gpu_props.metal_mem_cpy_delay; // in ms
// t_read_ram_gpu = b_prime / (dev.gpu_props.metal_read_vram_bw * 1e9) * 1000; // in ms
} else {
t_calc_gpu = (
master.model_flops.layer_f32_f32 / (dev.gpu_props.cuda_flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.gpu_props.cuda_flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.gpu_props.cuda_flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.gpu_props.cuda_flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.gpu_props.cuda_flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.gpu_props.cuda_flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.gpu_props.cuda_flops_q80_f32 * 1e9 + EPS)) * 1000; // in ms
master.model_flops.layer_f32_f32 / (dev.gpu_props.cuda_flops_f32_f32 * 1e9 + EPS) +
master.model_flops.layer_f16_f32 / (dev.gpu_props.cuda_flops_f16_f32 * 1e9 + EPS) +
master.model_flops.layer_q2k_f32 / (dev.gpu_props.cuda_flops_q2k_f32 * 1e9 + EPS) +
master.model_flops.layer_q4k_f32 / (dev.gpu_props.cuda_flops_q4k_f32 * 1e9 + EPS) +
master.model_flops.layer_q5k_f32 / (dev.gpu_props.cuda_flops_q5k_f32 * 1e9 + EPS) +
master.model_flops.layer_q6k_f32 / (dev.gpu_props.cuda_flops_q6k_f32 * 1e9 + EPS) +
master.model_flops.layer_q50_f32 / (dev.gpu_props.cuda_flops_q50_f32 * 1e9 + EPS) +
master.model_flops.layer_q80_f32 / (dev.gpu_props.cuda_flops_q80_f32 * 1e9 + EPS) +
master.model_flops.layer_iq1s_f32 / (dev.gpu_props.cuda_flops_iq1s_f32 * 1e9 + EPS) +
master.model_flops.layer_iq4nl_f32 / (dev.gpu_props.cuda_flops_iq4nl_f32 * 1e9 + EPS)) * 1000; // in ms
t_kv_cpy_gpu = dev.gpu_props.cuda_mem_cpy_delay; // in ms
// t_read_ram_gpu = b_prime / (dev.gpu_props.cuda_read_vram_bw * 1e9) * 1000; // in ms
}
@ -1113,13 +1125,16 @@ static bool assign_layers_to_device(
if (m == 0) {
kappa = (
dev.model_flops.layer_f32_f32 / (dev.cpu_props.flops_f32_f32 * 1e9 + EPS) +
dev.model_flops.layer_f16_f32 / (dev.cpu_props.flops_f16_f32 * 1e9 + EPS) +
dev.model_flops.layer_q4k_f32 / (dev.cpu_props.flops_q4k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q50_f32 / (dev.cpu_props.flops_q50_f32 * 1e9 + EPS) +
dev.model_flops.layer_q5k_f32 / (dev.cpu_props.flops_q5k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q6k_f32 / (dev.cpu_props.flops_q6k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q80_f32 / (dev.cpu_props.flops_q80_f32 * 1e9 + EPS)) * 1000; // in ms
dev.model_flops.layer_f32_f32 / (dev.cpu_props.flops_f32_f32 * 1e9 + EPS) +
dev.model_flops.layer_f16_f32 / (dev.cpu_props.flops_f16_f32 * 1e9 + EPS) +
dev.model_flops.layer_q2k_f32 / (dev.cpu_props.flops_q2k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q4k_f32 / (dev.cpu_props.flops_q4k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q5k_f32 / (dev.cpu_props.flops_q5k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q6k_f32 / (dev.cpu_props.flops_q6k_f32 * 1e9 + EPS) +
dev.model_flops.layer_q50_f32 / (dev.cpu_props.flops_q50_f32 * 1e9 + EPS) +
dev.model_flops.layer_q80_f32 / (dev.cpu_props.flops_q80_f32 * 1e9 + EPS) +
dev.model_flops.layer_iq1s_f32 / (dev.cpu_props.flops_iq1s_f32 * 1e9 + EPS) +
dev.model_flops.layer_iq4nl_f32 / (dev.cpu_props.flops_iq4nl_f32 * 1e9 + EPS)) * 1000; // in ms
// kappa += (bi / n_vocab + bo) / (dev.memory.cpu_read_ram_bw * 1e9) * 1000; // in ms
@ -1766,33 +1781,25 @@ struct llama_model_params llama_model_params_from_gpt_params(const gpt_params &
return mparams;
}
static ggml_type kv_cache_type_from_str(const std::string & s) {
if (s == "f32") {
return GGML_TYPE_F32;
}
if (s == "f16") {
return GGML_TYPE_F16;
}
if (s == "q8_0") {
return GGML_TYPE_Q8_0;
}
if (s == "q4_0") {
return GGML_TYPE_Q4_0;
}
if (s == "q4_1") {
return GGML_TYPE_Q4_1;
}
if (s == "iq4_nl") {
return GGML_TYPE_IQ4_NL;
}
if (s == "q5_0") {
return GGML_TYPE_Q5_0;
}
if (s == "q5_1") {
return GGML_TYPE_Q5_1;
}
const std::vector<ggml_type> kv_cache_types = {
GGML_TYPE_F32,
GGML_TYPE_F16,
GGML_TYPE_BF16, // Added BF16 data type support
GGML_TYPE_Q8_0,
GGML_TYPE_Q4_0,
GGML_TYPE_Q4_1,
GGML_TYPE_IQ4_NL,
GGML_TYPE_Q5_0,
GGML_TYPE_Q5_1,
};
throw std::runtime_error("Invalid cache type: " + s);
static ggml_type kv_cache_type_from_str(const std::string & s) {
for (const auto & type : kv_cache_types) {
if (ggml_type_name(type) == s) {
return type;
}
}
throw std::runtime_error("Unsupported cache type: " + s);
}
struct llama_context_params llama_context_params_from_gpt_params(const gpt_params & params) {

319
common/profiler.cpp
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File diff suppressed because one or more lines are too long

145
common/profiler.h
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@ -17,23 +17,30 @@ struct cpu_props {
uint32_t cores;
float flops_f32_f32; // in GFLOPS
float flops_f16_f32; // in GFLOPS
float flops_q2k_f32; // in GFLOPS
float flops_q4k_f32; // in GFLOPS
float flops_q50_f32; // in GFLOPS
float flops_q5k_f32; // in GFLOPS
float flops_q6k_f32; // in GFLOPS
float flops_q50_f32; // in GFLOPS
float flops_q80_f32; // in GFLOPS
float flops_iq1s_f32; // in GFLOPS
float flops_iq4nl_f32; // in GFLOPS
cpu_props() :
name(""),
description(""),
cores(0),
flops_f32_f32(0.0f),
flops_f16_f32(0.0f),
flops_q4k_f32(0.0f),
flops_q50_f32(0.0f),
flops_q5k_f32(0.0f),
flops_q6k_f32(0.0f),
flops_q80_f32(0.0f) {}
cpu_props()
: name (""),
description (""),
cores (0),
flops_f32_f32 (0.0f),
flops_f16_f32 (0.0f),
flops_q2k_f32 (0.0f),
flops_q4k_f32 (0.0f),
flops_q5k_f32 (0.0f),
flops_q6k_f32 (0.0f),
flops_q50_f32 (0.0f),
flops_q80_f32 (0.0f),
flops_iq1s_f32 (0.0f),
flops_iq4nl_f32 (0.0f)
{}
};
struct memory_info {
@ -82,127 +89,169 @@ struct gpu_props {
float metal_read_vram_bw; // in GB/s
float metal_flops_f32_f32; // in GFLOPS
float metal_flops_f16_f32; // in GFLOPS
float metal_flops_q2k_f32; // in GFLOPS
float metal_flops_q4k_f32; // in GFLOPS
float metal_flops_q50_f32; // in GFLOPS
float metal_flops_q5k_f32; // in GFLOPS
float metal_flops_q6k_f32; // in GFLOPS
float metal_flops_q50_f32; // in GFLOPS
float metal_flops_q80_f32; // in GFLOPS
float metal_flops_iq1s_f32; // in GFLOPS
float metal_flops_iq4nl_f32; // in GFLOPS
float metal_mem_cpy_delay; // in ms
float cuda_read_vram_bw; // in GB/s
float cuda_flops_f32_f32; // in GFLOPS
float cuda_flops_f16_f32; // in GFLOPS
float cuda_flops_q2k_f32; // in GFLOPS
float cuda_flops_q4k_f32; // in GFLOPS
float cuda_flops_q50_f32; // in GFLOPS
float cuda_flops_q5k_f32; // in GFLOPS
float cuda_flops_q6k_f32; // in GFLOPS
float cuda_flops_q50_f32; // in GFLOPS
float cuda_flops_q80_f32; // in GFLOPS
float cuda_flops_iq1s_f32; // in GFLOPS
float cuda_flops_iq4nl_f32; // in GFLOPS
float cuda_mem_cpy_delay; // in ms
gpu_props() :
name(""),
description(""),
memory_free (0.0f),
memory_total (0.0f),
metal_read_vram_bw (0.0f),
metal_flops_f32_f32(0.0f),
metal_flops_f16_f32(0.0f),
metal_flops_q4k_f32(0.0f),
metal_flops_q50_f32(0.0f),
metal_flops_q5k_f32(0.0f),
metal_flops_q6k_f32(0.0f),
metal_flops_q80_f32(0.0f),
metal_mem_cpy_delay(0.0f),
cuda_read_vram_bw (0.0f),
cuda_flops_f32_f32 (0.0f),
cuda_flops_f16_f32 (0.0f),
cuda_flops_q4k_f32 (0.0f),
cuda_flops_q50_f32 (0.0f),
cuda_flops_q5k_f32 (0.0f),
cuda_flops_q6k_f32 (0.0f),
cuda_flops_q80_f32 (0.0f),
cuda_mem_cpy_delay (0.0f) {}
name (""),
description (""),
memory_free (0.0f),
memory_total (0.0f),
metal_read_vram_bw (0.0f),
metal_flops_f32_f32 (0.0f),
metal_flops_f16_f32 (0.0f),
metal_flops_q2k_f32 (0.0f),
metal_flops_q4k_f32 (0.0f),
metal_flops_q5k_f32 (0.0f),
metal_flops_q6k_f32 (0.0f),
metal_flops_q50_f32 (0.0f),
metal_flops_q80_f32 (0.0f),
metal_flops_iq1s_f32 (0.0f),
metal_flops_iq4nl_f32 (0.0f),
metal_mem_cpy_delay (0.0f),
cuda_read_vram_bw (0.0f),
cuda_flops_f32_f32 (0.0f),
cuda_flops_f16_f32 (0.0f),
cuda_flops_q2k_f32 (0.0f),
cuda_flops_q4k_f32 (0.0f),
cuda_flops_q5k_f32 (0.0f),
cuda_flops_q6k_f32 (0.0f),
cuda_flops_q50_f32 (0.0f),
cuda_flops_q80_f32 (0.0f),
cuda_flops_iq1s_f32 (0.0f),
cuda_flops_iq4nl_f32 (0.0f),
cuda_mem_cpy_delay (0.0f) {}
};
struct model_flops {
float inp_embd_ms;
int64_t output_f32_f32;
int64_t output_f16_f32;
int64_t output_q2k_f32;
int64_t output_q4k_f32;
int64_t output_q50_f32;
int64_t output_q5k_f32;
int64_t output_q6k_f32;
int64_t output_q50_f32;
int64_t output_q80_f32;
int64_t output_iq1s_f32;
int64_t output_iq4nl_f32;
int64_t layer_f32_f32;
int64_t layer_f16_f32;
int64_t layer_q2k_f32;
int64_t layer_q4k_f32;
int64_t layer_q50_f32;
int64_t layer_q5k_f32;
int64_t layer_q6k_f32;
int64_t layer_q50_f32;
int64_t layer_q80_f32;
int64_t layer_iq1s_f32;
int64_t layer_iq4nl_f32;
model_flops() :
inp_embd_ms(0.0f),
output_f32_f32(0),
output_f16_f32(0),
output_q2k_f32(0),
output_q4k_f32(0),
output_q50_f32(0),
output_q5k_f32(0),
output_q6k_f32(0),
output_q50_f32(0),
output_q80_f32(0),
output_iq1s_f32(0),
output_iq4nl_f32(0),
layer_f32_f32 (0),
layer_f16_f32 (0),
layer_q2k_f32 (0),
layer_q4k_f32 (0),
layer_q50_f32 (0),
layer_q5k_f32 (0),
layer_q6k_f32 (0),
layer_q80_f32 (0) {}
layer_q50_f32 (0),
layer_q80_f32 (0),
layer_iq1s_f32 (0),
layer_iq4nl_f32 (0) {}
};
struct model_params {
int64_t input_f32;
int64_t input_f16;
int64_t input_q2k;
int64_t input_q4k;
int64_t input_q50;
int64_t input_q5k;
int64_t input_q6k;
int64_t input_q50;
int64_t input_q80;
int64_t input_iq1s;
int64_t input_iq4nl;
int64_t output_f32;
int64_t output_f16;
int64_t output_q2k;
int64_t output_q4k;
int64_t output_q50;
int64_t output_q5k;
int64_t output_q6k;
int64_t output_q50;
int64_t output_q80;
int64_t output_iq1s;
int64_t output_iq4nl;
int64_t layer_f32;
int64_t layer_f16;
int64_t layer_q2k;
int64_t layer_q4k;
int64_t layer_q50;
int64_t layer_q5k;
int64_t layer_q6k;
int64_t layer_q50;
int64_t layer_q80;
int64_t layer_iq1s;
int64_t layer_iq4nl;
model_params() :
input_f32 (0),
input_f16 (0),
input_q2k (0),
input_q4k (0),
input_q50 (0),
input_q5k (0),
input_q6k (0),
input_q50 (0),
input_q80 (0),
input_iq1s(0),
input_iq4nl(0),
output_f32(0),
output_f16(0),
output_q2k(0),
output_q4k(0),
output_q50(0),
output_q5k(0),
output_q6k(0),
output_q50(0),
output_q80(0),
output_iq1s(0),
output_iq4nl(0),
layer_f32 (0),
layer_f16 (0),
layer_q2k (0),
layer_q4k (0),
layer_q50 (0),
layer_q5k (0),
layer_q6k (0),
layer_q80 (0) {}
layer_q50 (0),
layer_q80 (0),
layer_iq1s (0),
layer_iq4nl (0) {}
};
struct model_bytes {

190
src/llama.cpp
View file

@ -3559,16 +3559,22 @@ static bool is_dtype_exist(struct model_params * n_params, enum ggml_type dtype)
case GGML_TYPE_F32:
case GGML_TYPE_F16:
return true;
case GGML_TYPE_Q2_K:
return n_params->layer_q2k > 0 || n_params->output_q2k > 0;
case GGML_TYPE_Q4_K:
return n_params->layer_q4k > 0 || n_params->output_q4k > 0;
case GGML_TYPE_Q5_0:
return n_params->layer_q50 > 0 || n_params->output_q50 > 0;
return n_params->layer_q4k > 0 || n_params->output_q4k > 0;
case GGML_TYPE_Q5_K:
return n_params->layer_q5k > 0 || n_params->output_q5k > 0;
return n_params->layer_q5k > 0 || n_params->output_q5k > 0;
case GGML_TYPE_Q6_K:
return n_params->layer_q6k > 0 || n_params->output_q6k > 0;
return n_params->layer_q6k > 0 || n_params->output_q6k > 0;
case GGML_TYPE_Q5_0:
return n_params->layer_q50 > 0 || n_params->output_q50 > 0;
case GGML_TYPE_Q8_0:
return n_params->layer_q80 > 0 || n_params->output_q80 > 0;
return n_params->layer_q80 > 0 || n_params->output_q80 > 0;
case GGML_TYPE_IQ1_S:
return n_params->layer_iq1s > 0 || n_params->output_iq1s > 0;
case GGML_TYPE_IQ4_NL:
return n_params->layer_iq4nl > 0 || n_params->output_iq4nl > 0;
default:
throw std::runtime_error("Unrecognized data type\n");
}
@ -3649,18 +3655,18 @@ void llama_profile_device(
dev_info->gpu_props.cuda_flops_f16_f32 = device_cuda_flops (model, GGML_TYPE_F16, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q2_K)) {
dev_info->cpu_props.flops_q2k_f32 = device_cpu_flops (model, GGML_TYPE_Q2_K, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q2k_f32 = device_metal_flops(model, GGML_TYPE_Q2_K, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_q2k_f32 = device_cuda_flops (model, GGML_TYPE_Q2_K, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q4_K)) {
dev_info->cpu_props.flops_q4k_f32 = device_cpu_flops (model, GGML_TYPE_Q4_K, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q4k_f32 = device_metal_flops(model, GGML_TYPE_Q4_K, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_q4k_f32 = device_cuda_flops (model, GGML_TYPE_Q4_K, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q5_0)) {
dev_info->cpu_props.flops_q50_f32 = device_cpu_flops (model, GGML_TYPE_Q5_0, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q50_f32 = device_metal_flops(model, GGML_TYPE_Q5_0, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_q50_f32 = device_cuda_flops (model, GGML_TYPE_Q5_0, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q5_K)) {
dev_info->cpu_props.flops_q5k_f32 = device_cpu_flops (model, GGML_TYPE_Q5_K, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q5k_f32 = device_metal_flops(model, GGML_TYPE_Q5_K, GGML_TYPE_F32);
@ -3673,11 +3679,30 @@ void llama_profile_device(
dev_info->gpu_props.cuda_flops_q6k_f32 = device_cuda_flops (model, GGML_TYPE_Q6_K, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q5_0)) {
dev_info->cpu_props.flops_q50_f32 = device_cpu_flops (model, GGML_TYPE_Q5_0, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q50_f32 = device_metal_flops(model, GGML_TYPE_Q5_0, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_q50_f32 = device_cuda_flops (model, GGML_TYPE_Q5_0, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_Q8_0)) {
dev_info->cpu_props.flops_q80_f32 = device_cpu_flops (model, GGML_TYPE_Q8_0, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_q80_f32 = device_metal_flops(model, GGML_TYPE_Q8_0, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_q80_f32 = device_cuda_flops (model, GGML_TYPE_Q8_0, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_IQ1_S)) {
dev_info->cpu_props.flops_iq1s_f32 = device_cpu_flops (model, GGML_TYPE_IQ1_S, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_iq1s_f32= device_metal_flops(model, GGML_TYPE_IQ1_S, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_iq1s_f32 = device_cuda_flops (model, GGML_TYPE_IQ1_S, GGML_TYPE_F32);
}
if (is_dtype_exist(n_params, GGML_TYPE_IQ4_NL)) {
dev_info->cpu_props.flops_iq4nl_f32 = device_cpu_flops (model, GGML_TYPE_IQ4_NL, GGML_TYPE_F32, n_threads);
dev_info->gpu_props.metal_flops_iq4nl_f32= device_metal_flops(model, GGML_TYPE_IQ4_NL, GGML_TYPE_F32);
dev_info->gpu_props.cuda_flops_iq4nl_f32 = device_cuda_flops (model, GGML_TYPE_IQ4_NL, GGML_TYPE_F32);
}
}
ggml_backend_buffer_type_t llama_dev_buffer_type(struct llama_model * model, int device) {
@ -21029,49 +21054,67 @@ static void count_n_flops(struct model_flops * n_flops, enum ggml_type dtype, en
case GGML_TYPE_F16:
n_flops->output_f16_f32 += n;
break;
case GGML_TYPE_Q2_K:
n_flops->output_q2k_f32 += n;
break;
case GGML_TYPE_Q4_K:
n_flops->output_q4k_f32 += n;
break;
case GGML_TYPE_Q5_0:
n_flops->output_q50_f32 += n;
break;
case GGML_TYPE_Q5_K:
n_flops->output_q5k_f32 += n;
break;
case GGML_TYPE_Q6_K:
n_flops->output_q6k_f32 += n;
break;
case GGML_TYPE_Q5_0:
n_flops->output_q50_f32 += n;
break;
case GGML_TYPE_Q8_0:
n_flops->output_q80_f32 += n;
break;
case GGML_TYPE_IQ1_S:
n_flops->output_iq1s_f32 += n;
break;
case GGML_TYPE_IQ4_NL:
n_flops->output_iq4nl_f32 += n;
break;
default:
throw std::runtime_error("Unrecognized weight type in PROFILER_LAYER_OUTPUT\n");
}
break;
case PROFILER_LAYER_BACKEND:
switch (dtype) {
switch (dtype) {
case GGML_TYPE_F32:
n_flops->layer_f32_f32 += n;
break;
case GGML_TYPE_F16:
n_flops->layer_f16_f32 += n;
break;
case GGML_TYPE_Q2_K:
n_flops->layer_q2k_f32 += n;
break;
case GGML_TYPE_Q4_K:
n_flops->layer_q4k_f32 += n;
break;
case GGML_TYPE_Q5_0:
n_flops->layer_q50_f32 += n;
break;
case GGML_TYPE_Q5_K:
n_flops->layer_q5k_f32 += n;
break;
case GGML_TYPE_Q6_K:
n_flops->layer_q6k_f32 += n;
break;
case GGML_TYPE_Q5_0:
n_flops->layer_q50_f32 += n;
break;
case GGML_TYPE_Q8_0:
n_flops->layer_q80_f32 += n;
break;
case GGML_TYPE_IQ1_S:
n_flops->layer_iq1s_f32 += n;
break;
case GGML_TYPE_IQ4_NL:
n_flops->layer_iq4nl_f32 += n;
break;
default:
throw std::runtime_error("Unrecognized weight type in PROFILER_LAYER_BACKEND\n");
}
@ -21093,21 +21136,30 @@ static void count_n_params(struct model_params * n_params, enum ggml_type dtype,
case GGML_TYPE_F16:
n_params->input_f16 += n_i64t;
break;
case GGML_TYPE_Q2_K:
n_params->input_q2k += n_i64t;
break;
case GGML_TYPE_Q4_K:
n_params->input_q4k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->input_q50 += n_i64t;
break;
case GGML_TYPE_Q5_K:
n_params->input_q5k += n_i64t;
break;
case GGML_TYPE_Q6_K:
n_params->input_q6k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->input_q50 += n_i64t;
break;
case GGML_TYPE_Q8_0:
n_params->input_q80 += n_i64t;
break;
case GGML_TYPE_IQ1_S:
n_params->input_iq1s += n_i64t;
break;
case GGML_TYPE_IQ4_NL:
n_params->input_iq4nl += n_i64t;
break;
default:
throw std::runtime_error("Unrecognized weight type in PROFILER_LAYER_OUTPUT\n");
}
@ -21116,25 +21168,34 @@ static void count_n_params(struct model_params * n_params, enum ggml_type dtype,
case PROFILER_LAYER_OUTPUT:
switch (dtype) {
case GGML_TYPE_F32:
n_params->output_f32 += n_i64t;
n_params->output_f32 += n_i64t;
break;
case GGML_TYPE_F16:
n_params->output_f16 += n_i64t;
n_params->output_f16 += n_i64t;
break;
case GGML_TYPE_Q2_K:
n_params->output_q2k += n_i64t;
break;
case GGML_TYPE_Q4_K:
n_params->output_q4k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->output_q50 += n_i64t;
n_params->output_q4k += n_i64t;
break;
case GGML_TYPE_Q5_K:
n_params->output_q5k += n_i64t;
n_params->output_q5k += n_i64t;
break;
case GGML_TYPE_Q6_K:
n_params->output_q6k += n_i64t;
n_params->output_q6k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->output_q50 += n_i64t;
break;
case GGML_TYPE_Q8_0:
n_params->output_q80 += n_i64t;
n_params->output_q80 += n_i64t;
break;
case GGML_TYPE_IQ1_S:
n_params->output_iq1s += n_i64t;
break;
case GGML_TYPE_IQ4_NL:
n_params->output_iq4nl += n_i64t;
break;
default:
throw std::runtime_error("Unrecognized weight type in PROFILER_LAYER_OUTPUT\n");
@ -21144,25 +21205,34 @@ static void count_n_params(struct model_params * n_params, enum ggml_type dtype,
case PROFILER_LAYER_BACKEND:
switch (dtype) {
case GGML_TYPE_F32:
n_params->layer_f32 += n_i64t;
n_params->layer_f32 += n_i64t;
break;
case GGML_TYPE_F16:
n_params->layer_f16 += n_i64t;
n_params->layer_f16 += n_i64t;
break;
case GGML_TYPE_Q2_K:
n_params->layer_q2k += n_i64t;
break;
case GGML_TYPE_Q4_K:
n_params->layer_q4k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->layer_q50 += n_i64t;
n_params->layer_q4k += n_i64t;
break;
case GGML_TYPE_Q5_K:
n_params->layer_q5k += n_i64t;
n_params->layer_q5k += n_i64t;
break;
case GGML_TYPE_Q6_K:
n_params->layer_q6k += n_i64t;
n_params->layer_q6k += n_i64t;
break;
case GGML_TYPE_Q5_0:
n_params->layer_q50 += n_i64t;
break;
case GGML_TYPE_Q8_0:
n_params->layer_q80 += n_i64t;
n_params->layer_q80 += n_i64t;
break;
case GGML_TYPE_IQ1_S:
n_params->layer_iq1s += n_i64t;
break;
case GGML_TYPE_IQ4_NL:
n_params->layer_iq4nl += n_i64t;
break;
default:
throw std::runtime_error("Unrecognized weight type in PROFILER_LAYER_BACKEND\n");
@ -21452,23 +21522,29 @@ void llama_model_n_flops(
}
// use average values instead of total values
n_flops->layer_f32_f32 = static_cast<int64_t>((double)n_flops->layer_f32_f32 / (double)n_layer);
n_flops->layer_f16_f32 = static_cast<int64_t>((double)n_flops->layer_f16_f32 / (double)n_layer);
n_flops->layer_q4k_f32 = static_cast<int64_t>((double)n_flops->layer_q4k_f32 / (double)n_layer);
n_flops->layer_q50_f32 = static_cast<int64_t>((double)n_flops->layer_q50_f32 / (double)n_layer);
n_flops->layer_q5k_f32 = static_cast<int64_t>((double)n_flops->layer_q5k_f32 / (double)n_layer);
n_flops->layer_q6k_f32 = static_cast<int64_t>((double)n_flops->layer_q6k_f32 / (double)n_layer);
n_flops->layer_q80_f32 = static_cast<int64_t>((double)n_flops->layer_q80_f32 / (double)n_layer);
n_params->layer_f32 = static_cast<int64_t>((double)n_params->layer_f32 / (double)n_layer);
n_params->layer_f16 = static_cast<int64_t>((double)n_params->layer_f16 / (double)n_layer);
n_params->layer_q4k = static_cast<int64_t>((double)n_params->layer_q4k / (double)n_layer);
n_params->layer_q50 = static_cast<int64_t>((double)n_params->layer_q50 / (double)n_layer);
n_params->layer_q5k = static_cast<int64_t>((double)n_params->layer_q5k / (double)n_layer);
n_params->layer_q6k = static_cast<int64_t>((double)n_params->layer_q6k / (double)n_layer);
n_params->layer_q80 = static_cast<int64_t>((double)n_params->layer_q80 / (double)n_layer);
n_bytes->nb_layer = static_cast<int64_t>((double)n_bytes->nb_layer / (double)n_layer);
n_flops->layer_f32_f32 = static_cast<int64_t>((double)n_flops->layer_f32_f32 / (double)n_layer);
n_flops->layer_f16_f32 = static_cast<int64_t>((double)n_flops->layer_f16_f32 / (double)n_layer);
n_flops->layer_q2k_f32 = static_cast<int64_t>((double)n_flops->layer_q2k_f32 / (double)n_layer);
n_flops->layer_q4k_f32 = static_cast<int64_t>((double)n_flops->layer_q4k_f32 / (double)n_layer);
n_flops->layer_q5k_f32 = static_cast<int64_t>((double)n_flops->layer_q5k_f32 / (double)n_layer);
n_flops->layer_q6k_f32 = static_cast<int64_t>((double)n_flops->layer_q6k_f32 / (double)n_layer);
n_flops->layer_q50_f32 = static_cast<int64_t>((double)n_flops->layer_q50_f32 / (double)n_layer);
n_flops->layer_q80_f32 = static_cast<int64_t>((double)n_flops->layer_q80_f32 / (double)n_layer);
n_flops->layer_iq1s_f32 = static_cast<int64_t>((double)n_flops->layer_iq1s_f32 / (double)n_layer);
n_flops->layer_iq4nl_f32 = static_cast<int64_t>((double)n_flops->layer_iq4nl_f32 / (double)n_layer);
n_params->layer_f32 = static_cast<int64_t>((double)n_params->layer_f32 / (double)n_layer);
n_params->layer_f16 = static_cast<int64_t>((double)n_params->layer_f16 / (double)n_layer);
n_params->layer_q2k = static_cast<int64_t>((double)n_params->layer_q2k / (double)n_layer);
n_params->layer_q4k = static_cast<int64_t>((double)n_params->layer_q4k / (double)n_layer);
n_params->layer_q50 = static_cast<int64_t>((double)n_params->layer_q50 / (double)n_layer);
n_params->layer_q5k = static_cast<int64_t>((double)n_params->layer_q5k / (double)n_layer);
n_params->layer_q6k = static_cast<int64_t>((double)n_params->layer_q6k / (double)n_layer);
n_params->layer_q80 = static_cast<int64_t>((double)n_params->layer_q80 / (double)n_layer);
n_params->layer_iq1s = static_cast<int64_t>((double)n_params->layer_iq1s / (double)n_layer);
n_params->layer_iq4nl = static_cast<int64_t>((double)n_params->layer_iq4nl / (double)n_layer);
n_bytes->nb_layer = static_cast<int64_t>((double)n_bytes->nb_layer / (double)n_layer);
// reset ml, model, and clear contexts
ml->n_created = 0;