Compare commits

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Author SHA1 Message Date
Georgi Gerganov 4cc78d3873 ggml : force F32 precision for ggml_mul_mat 2024-01-02 17:54:56 +02:00
Phil Handphiharri 0ef3ca2ac6 server : add token counts to html footer (#4738)
* server: add token counts to stats

* server: generate hpp

---------

Co-authored-by: phiharri <[email protected]>
2024-01-02 17:48:49 +02:00
Georgi Gerganov 540938f890 llama : llama_model_desc print number of experts 2024-01-02 16:26:45 +02:00
Marcus Dunn 0040d42eeb llama : replace all API facing int's with int32_t (#4577)
* replaced all API facing `int`'s with `int32_t`

* formatting and missed `int` in `llama_token_to_piece`
2024-01-02 16:15:16 +02:00
postmastersandGeorgi Gerganov 83e633c27e llama : differentiate the KV dims in the attention (#4657)
* Add n_key_dim and n_value_dim

Some models use values that are not derived from `n_embd`.
Also remove `n_embd_head` and `n_embd_gqa` because it is not clear
which "head" is referred to (key or value).

Fix issue #4648.

* Fix `llm_build_kqv` to use `n_value_gqa`

* Rebase

* Rename variables

* Fix llm_build_kqv to be more generic wrt n_embd_head_k

* Update default values for n_embd_head_k and n_embd_head_v

Co-authored-by: Georgi Gerganov <[email protected]>

* Fix llm_load_tensors: the asserts were not backcompat

---------

Co-authored-by: Georgi Gerganov <[email protected]>
2024-01-02 13:51:28 +02:00
10 changed files with 4845 additions and 4605 deletions
+357 -336
View File
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};
unsigned int completion_js_len = 5099;
unsigned int completion_js_len = 5346;
File diff suppressed because it is too large Load Diff
+1860 -1833
View File
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -427,7 +427,7 @@
}
if (data.timings) {
llamaStats.value = data.timings;
llamaStats.value = data;
}
}
@@ -880,7 +880,7 @@
}
return html`
<span>
${llamaStats.value.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.predicted_per_second.toFixed(2)} tokens per second
${llamaStats.value.tokens_predicted} predicted, ${llamaStats.value.tokens_cached} cached, ${llamaStats.value.timings.predicted_per_token_ms.toFixed()}ms per token, ${llamaStats.value.timings.predicted_per_second.toFixed(2)} tokens per second
</span>
`
}
+51 -17
View File
@@ -7579,8 +7579,7 @@ static void ggml_cuda_op_mul_mat_cublas(
const int compute_capability = g_device_caps[id].cc;
if (compute_capability >= CC_VOLTA && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1] && dst->op_params[0] == GGML_PREC_DEFAULT) {
//printf("this branch\n");
if (compute_capability >= CC_VOLTA && (src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) && ggml_is_contiguous(src0) && row_diff == src0->ne[1]) {
// convert src0 and src1 to fp16, multiply as fp16, convert dst to fp32
cuda_pool_alloc<half> src0_as_f16;
if (src0->type != GGML_TYPE_F16) {
@@ -7601,23 +7600,44 @@ static void ggml_cuda_op_mul_mat_cublas(
to_fp16_cuda(src1_ddf_i, src1_as_f16.get(), ne, stream);
}
const half * src1_ptr = src1->type == GGML_TYPE_F16 ? (const half *) src1_ddf_i : src1_as_f16.get();
cuda_pool_alloc<half> dst_f16(row_diff*src1_ncols);
const half alpha_f16 = 1.0f;
const half beta_f16 = 0.0f;
switch (dst->op_params[0]) {
case GGML_PREC_DEFAULT:
{
cuda_pool_alloc<half> dst_f16(row_diff*src1_ncols);
CUBLAS_CHECK(cublasSetStream(g_cublas_handles[id], stream));
CUBLAS_CHECK(
cublasGemmEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N,
row_diff, src1_ncols, ne10,
&alpha_f16, src0_ptr, CUDA_R_16F, ne00,
src1_ptr, CUDA_R_16F, ne10,
&beta_f16, dst_f16.get(), CUDA_R_16F, ldc,
CUBLAS_COMPUTE_16F,
CUBLAS_GEMM_DEFAULT_TENSOR_OP));
const half alpha_f16 = 1.0f;
const half beta_f16 = 0.0f;
const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16);
to_fp32_cuda(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream);
CUBLAS_CHECK(cublasSetStream(g_cublas_handles[id], stream));
CUBLAS_CHECK(
cublasGemmEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N,
row_diff, src1_ncols, ne10,
&alpha_f16, src0_ptr, CUDA_R_16F, ne00,
src1_ptr, CUDA_R_16F, ne10,
&beta_f16, dst_f16.get(), CUDA_R_16F, ldc,
CUBLAS_COMPUTE_16F,
CUBLAS_GEMM_DEFAULT_TENSOR_OP));
const to_fp32_cuda_t to_fp32_cuda = ggml_get_to_fp32_cuda(GGML_TYPE_F16);
to_fp32_cuda(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream);
} break;
case GGML_PREC_F32:
{
const float alpha_f32 = 1.0f;
const float beta_f32 = 0.0f;
CUBLAS_CHECK(cublasSetStream(g_cublas_handles[id], stream));
CUBLAS_CHECK(
cublasGemmEx(g_cublas_handles[id], CUBLAS_OP_T, CUBLAS_OP_N,
row_diff, src1_ncols, ne10,
&alpha_f32, src0_ptr, CUDA_R_16F, ne00,
src1_ptr, CUDA_R_16F, ne10,
&beta_f32, dst_dd_i, CUDA_R_32F, ldc,
CUBLAS_COMPUTE_32F,
CUBLAS_GEMM_DEFAULT_TENSOR_OP));
} break;
}
} else {
cuda_pool_alloc<float> src0_ddq_as_f32;
cuda_pool_alloc<float> src1_ddq_as_f32;
@@ -7635,7 +7655,7 @@ static void ggml_cuda_op_mul_mat_cublas(
to_fp32_cuda(src1_ddf_i, src1_ddq_as_f32.get(), src1_ncols*ne10, stream);
}
const float * src0_ddf_i = src0->type == GGML_TYPE_F32 ? (const float *) src0_dd_i : src0_ddq_as_f32.get();
const float * src0_ddf_i = src0->type == GGML_TYPE_F32 ? (const float *) src0_dd_i : src0_ddq_as_f32.get();
const float * src1_ddf1_i = src1->type == GGML_TYPE_F32 ? (const float *) src1_ddf_i : src1_ddq_as_f32.get();
const float alpha = 1.0f;
@@ -9234,6 +9254,20 @@ void ggml_cuda_transform_tensor(void * data, struct ggml_tensor * tensor) {
}
void ggml_cuda_free_data(struct ggml_tensor * tensor) {
// print current mem usage using cudaMemGetInfo
// TODO: this is a hack - need better solution
{
size_t free;
size_t total;
CUDA_CHECK(cudaMemGetInfo(&free, &total));
static size_t used = 0;
if (used < total - free) {
printf("CUDA: used %zu MB, free %zu MB\n", (total - free)/1024/1024, free/1024/1024);
used = total - free;
}
}
if (!tensor || !tensor->extra || (tensor->backend != GGML_BACKEND_GPU && tensor->backend != GGML_BACKEND_GPU_SPLIT) ) {
return;
}
+6
View File
@@ -4077,6 +4077,12 @@ struct ggml_tensor * ggml_mul_mat(
const int64_t ne[4] = { a->ne[1], b->ne[1], b->ne[2], b->ne[3] };
struct ggml_tensor * result = ggml_new_tensor(ctx, GGML_TYPE_F32, 4, ne);
// TMP: force f32 precision
{
const int32_t prec_i32 = GGML_PREC_F32;
ggml_set_op_params_i32(result, 0, prec_i32);
}
result->op = GGML_OP_MUL_MAT;
result->grad = is_node ? ggml_dup_tensor(ctx, result) : NULL;
result->src[0] = a;
+2
View File
@@ -46,6 +46,8 @@ class Keys:
HEAD_COUNT_KV = "{arch}.attention.head_count_kv"
MAX_ALIBI_BIAS = "{arch}.attention.max_alibi_bias"
CLAMP_KQV = "{arch}.attention.clamp_kqv"
KEY_LENGTH = "{arch}.attention.key_length"
VALUE_LENGTH = "{arch}.attention.value_length"
LAYERNORM_EPS = "{arch}.attention.layer_norm_epsilon"
LAYERNORM_RMS_EPS = "{arch}.attention.layer_norm_rms_epsilon"
+6
View File
@@ -333,6 +333,12 @@ class GGUFWriter:
def add_head_count_kv(self, count: int) -> None:
self.add_uint32(Keys.Attention.HEAD_COUNT_KV.format(arch=self.arch), count)
def add_key_length(self, length: int) -> None:
self.add_uint32(Keys.Attention.KEY_LENGTH.format(arch=self.arch), length)
def add_value_length(self, length: int) -> None:
self.add_uint32(Keys.Attention.VALUE_LENGTH.format(arch=self.arch), length)
def add_max_alibi_bias(self, bias: float) -> None:
self.add_float32(Keys.Attention.MAX_ALIBI_BIAS.format(arch=self.arch), bias)
+220 -104
View File
@@ -245,6 +245,8 @@ enum llm_kv {
LLM_KV_ATTENTION_HEAD_COUNT_KV,
LLM_KV_ATTENTION_MAX_ALIBI_BIAS,
LLM_KV_ATTENTION_CLAMP_KQV,
LLM_KV_ATTENTION_KEY_LENGTH,
LLM_KV_ATTENTION_VALUE_LENGTH,
LLM_KV_ATTENTION_LAYERNORM_EPS,
LLM_KV_ATTENTION_LAYERNORM_RMS_EPS,
@@ -297,6 +299,8 @@ static std::map<llm_kv, std::string> LLM_KV_NAMES = {
{ LLM_KV_ATTENTION_HEAD_COUNT_KV, "%s.attention.head_count_kv" },
{ LLM_KV_ATTENTION_MAX_ALIBI_BIAS, "%s.attention.max_alibi_bias" },
{ LLM_KV_ATTENTION_CLAMP_KQV, "%s.attention.clamp_kqv" },
{ LLM_KV_ATTENTION_KEY_LENGTH, "%s.attention.key_length" },
{ LLM_KV_ATTENTION_VALUE_LENGTH, "%s.attention.value_length" },
{ LLM_KV_ATTENTION_LAYERNORM_EPS, "%s.attention.layer_norm_epsilon" },
{ LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, "%s.attention.layer_norm_rms_epsilon" },
@@ -1284,6 +1288,8 @@ struct llama_hparams {
uint32_t n_head_kv;
uint32_t n_layer;
uint32_t n_rot;
uint32_t n_embd_head_k; // dimension of keys (d_k). d_q is assumed to be the same, but there are n_head q heads, and only n_head_kv k-v heads
uint32_t n_embd_head_v; // dimension of values (d_v) aka n_embd_head
uint32_t n_ff;
uint32_t n_expert = 0;
uint32_t n_expert_used = 0;
@@ -1310,6 +1316,8 @@ struct llama_hparams {
if (this->n_head_kv != other.n_head_kv) return true;
if (this->n_layer != other.n_layer) return true;
if (this->n_rot != other.n_rot) return true;
if (this->n_embd_head_k != other.n_embd_head_k) return true;
if (this->n_embd_head_v != other.n_embd_head_v) return true;
if (this->n_ff != other.n_ff) return true;
if (this->n_expert != other.n_expert) return true;
if (this->n_expert_used != other.n_expert_used) return true;
@@ -1331,12 +1339,12 @@ struct llama_hparams {
return n_head/n_head_kv;
}
uint32_t n_embd_head() const {
return n_embd/n_head;
uint32_t n_embd_k_gqa() const { // dimension of key embeddings across all k-v heads
return n_embd_head_k * n_head_kv;
}
uint32_t n_embd_gqa() const {
return n_embd/n_gqa();
uint32_t n_embd_v_gqa() const { // dimension of value embeddings across all k-v heads
return n_embd_head_v * n_head_kv;
}
};
@@ -1645,8 +1653,9 @@ static bool llama_kv_cache_init(
uint32_t n_ctx,
int n_gpu_layers,
bool offload) {
const uint32_t n_embd = hparams.n_embd_gqa();
const uint32_t n_layer = hparams.n_layer;
const uint32_t n_embd_k_gqa = hparams.n_embd_k_gqa();
const uint32_t n_embd_v_gqa = hparams.n_embd_v_gqa();
const uint32_t n_layer = hparams.n_layer;
cache.has_shift = false;
@@ -1677,8 +1686,8 @@ static bool llama_kv_cache_init(
const int i_gpu_start = (int) n_layer - n_gpu_layers;
for (int i = 0; i < (int) n_layer; i++) {
ggml_tensor * k = ggml_new_tensor_1d(cache.ctx, ktype, n_embd*n_ctx);
ggml_tensor * v = ggml_new_tensor_1d(cache.ctx, vtype, n_embd*n_ctx);
ggml_tensor * k = ggml_new_tensor_1d(cache.ctx, ktype, n_embd_k_gqa*n_ctx);
ggml_tensor * v = ggml_new_tensor_1d(cache.ctx, vtype, n_embd_v_gqa*n_ctx);
ggml_format_name(k, "cache_k_l%d", i);
ggml_format_name(v, "cache_v_l%d", i);
cache.k_l.push_back(k);
@@ -2672,6 +2681,12 @@ static void llm_load_hparams(
// gpt-j n_rot = rotary_dim
}
hparams.n_embd_head_k = hparams.n_embd / hparams.n_head;
ml.get_key(LLM_KV_ATTENTION_KEY_LENGTH, hparams.n_embd_head_k, false);
hparams.n_embd_head_v = hparams.n_embd / hparams.n_head;
ml.get_key(LLM_KV_ATTENTION_VALUE_LENGTH, hparams.n_embd_head_v, false);
// arch-specific KVs
switch (model.arch) {
case LLM_ARCH_LLAMA:
@@ -3082,8 +3097,12 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
LLAMA_LOG_INFO("%s: n_head = %u\n", __func__, hparams.n_head);
LLAMA_LOG_INFO("%s: n_head_kv = %u\n", __func__, hparams.n_head_kv);
LLAMA_LOG_INFO("%s: n_layer = %u\n", __func__, hparams.n_layer);
LLAMA_LOG_INFO("%s: n_rot = %u\n", __func__, hparams.n_rot); // a.k.a. n_embd_head, n_head_dim
LLAMA_LOG_INFO("%s: n_rot = %u\n", __func__, hparams.n_rot);
LLAMA_LOG_INFO("%s: n_embd_head_k = %u\n", __func__, hparams.n_embd_head_k);
LLAMA_LOG_INFO("%s: n_embd_head_v = %u\n", __func__, hparams.n_embd_head_v);
LLAMA_LOG_INFO("%s: n_gqa = %u\n", __func__, hparams.n_gqa());
LLAMA_LOG_INFO("%s: n_embd_k_gqa = %u\n", __func__, hparams.n_embd_k_gqa());
LLAMA_LOG_INFO("%s: n_embd_v_gqa = %u\n", __func__, hparams.n_embd_v_gqa());
LLAMA_LOG_INFO("%s: f_norm_eps = %.1e\n", __func__, hparams.f_norm_eps);
LLAMA_LOG_INFO("%s: f_norm_rms_eps = %.1e\n", __func__, hparams.f_norm_rms_eps);
LLAMA_LOG_INFO("%s: f_clamp_kqv = %.1e\n", __func__, hparams.f_clamp_kqv);
@@ -3173,10 +3192,11 @@ static bool llm_load_tensors(
// create tensors for the weights
{
const int64_t n_embd = hparams.n_embd;
const int64_t n_embd_gqa = hparams.n_embd_gqa();
const int64_t n_layer = hparams.n_layer;
const int64_t n_vocab = hparams.n_vocab;
const int64_t n_embd = hparams.n_embd;
const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa();
const int64_t n_layer = hparams.n_layer;
const int64_t n_vocab = hparams.n_vocab;
const auto tn = LLM_TN(model.arch);
switch (model.arch) {
@@ -3202,7 +3222,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3270,7 +3293,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3318,7 +3344,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3368,7 +3397,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3420,7 +3452,11 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
model.layers.resize(n_layer);
for (uint32_t i = 0; i < n_layer; ++i) {
@@ -3469,7 +3505,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3520,7 +3559,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3567,7 +3609,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3665,7 +3710,10 @@ static bool llm_load_tensors(
model.output_b = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "bias"), {n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3714,7 +3762,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -3761,7 +3812,10 @@ static bool llm_load_tensors(
model.output = ml.create_tensor(ctx, tn(LLM_TENSOR_OUTPUT, "weight"), {n_embd, n_vocab}, backend_output);
}
const uint32_t n_ff = hparams.n_ff;
const uint32_t n_ff = hparams.n_ff;
const int64_t n_embd_gqa = n_embd_v_gqa;
GGML_ASSERT(n_embd_gqa == n_embd / hparams.n_gqa());
GGML_ASSERT(n_embd_gqa == n_embd_k_gqa);
const int i_gpu_start = n_layer - n_gpu_layers;
@@ -4000,8 +4054,8 @@ static struct ggml_tensor * llm_build_inp_embd(
return inpL;
}
// Persimmon: n_rot = n_embd_head/2
// Other: n_rot = n_embd_head
// Persimmon: n_rot = n_embd_head_k/2
// Other: n_rot = n_embd_head_k
static void llm_build_k_shift(
struct ggml_context * ctx,
const llama_hparams & hparams,
@@ -4014,17 +4068,17 @@ static void llm_build_k_shift(
float freq_base,
float freq_scale,
const llm_build_cb & cb) {
const int64_t n_layer = hparams.n_layer;
const int64_t n_head_kv = hparams.n_head_kv;
const int64_t n_embd_gqa = hparams.n_embd_gqa();
const int64_t n_embd_head = hparams.n_embd_head();
const int32_t n_orig_ctx = cparams.n_yarn_orig_ctx;
const float ext_factor = cparams.yarn_ext_factor;
const float attn_factor = cparams.yarn_attn_factor;
const float beta_fast = cparams.yarn_beta_fast;
const float beta_slow = cparams.yarn_beta_slow;
const int64_t n_layer = hparams.n_layer;
const int64_t n_head_kv = hparams.n_head_kv;
const int64_t n_embd_head_k = hparams.n_embd_head_k;
const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
const int32_t n_orig_ctx = cparams.n_yarn_orig_ctx;
const float ext_factor = cparams.yarn_ext_factor;
const float attn_factor = cparams.yarn_attn_factor;
const float beta_fast = cparams.yarn_beta_fast;
const float beta_slow = cparams.yarn_beta_slow;
GGML_ASSERT(n_embd_head % n_rot == 0);
GGML_ASSERT(n_embd_head_k % n_rot == 0);
struct ggml_tensor * K_shift = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, n_ctx);
cb(K_shift, "K_shift", -1);
@@ -4042,9 +4096,9 @@ static void llm_build_k_shift(
// we rotate only the first n_rot dimensions
ggml_rope_custom_inplace(ctx,
ggml_view_3d(ctx, kv.k_l[il],
n_embd_head, n_head_kv, n_ctx,
ggml_row_size(kv.k_l[il]->type, n_embd_head),
ggml_row_size(kv.k_l[il]->type, n_embd_gqa),
n_embd_head_k, n_head_kv, n_ctx,
ggml_row_size(kv.k_l[il]->type, n_embd_head_k),
ggml_row_size(kv.k_l[il]->type, n_embd_k_gqa),
0),
K_shift, n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
ext_factor, attn_factor, beta_fast, beta_slow);
@@ -4065,18 +4119,19 @@ static void llm_build_kv_store(
int32_t kv_head,
const llm_build_cb & cb,
int64_t il) {
const int64_t n_embd_gqa = hparams.n_embd_gqa();
const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa();
// compute the transposed [n_tokens, n_embd] V matrix
struct ggml_tensor * v_cur_t = ggml_transpose(ctx, ggml_reshape_2d(ctx, v_cur, n_embd_gqa, n_tokens));
struct ggml_tensor * v_cur_t = ggml_transpose(ctx, ggml_reshape_2d(ctx, v_cur, n_embd_v_gqa, n_tokens));
//struct ggml_tensor * v_cur_t = ggml_transpose(ctx, v_cur); // TODO: reshape above is likely not needed
cb(v_cur_t, "v_cur_t", il);
struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k_l[il], n_tokens*n_embd_gqa,
(ggml_row_size(kv.k_l[il]->type, n_embd_gqa))*kv_head);
struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k_l[il], n_tokens*n_embd_k_gqa,
(ggml_row_size(kv.k_l[il]->type, n_embd_k_gqa))*kv_head);
cb(k_cache_view, "k_cache_view", il);
struct ggml_tensor * v_cache_view = ggml_view_2d(ctx, kv.v_l[il], n_tokens, n_embd_gqa,
struct ggml_tensor * v_cache_view = ggml_view_2d(ctx, kv.v_l[il], n_tokens, n_embd_v_gqa,
( n_ctx)*ggml_element_size(kv.v_l[il]),
(kv_head)*ggml_element_size(kv.v_l[il]));
cb(v_cache_view, "v_cache_view", il);
@@ -4226,20 +4281,20 @@ static struct ggml_tensor * llm_build_kqv(
float kq_scale,
const llm_build_cb & cb,
int il) {
const int64_t n_embd = hparams.n_embd;
const int64_t n_head = hparams.n_head;
const int64_t n_head_kv = hparams.n_head_kv;
const int64_t n_embd_head = hparams.n_embd_head();
const int64_t n_embd_gqa = hparams.n_embd_gqa();
const int64_t n_head = hparams.n_head;
const int64_t n_head_kv = hparams.n_head_kv;
const int64_t n_embd_head_k = hparams.n_embd_head_k;
const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
const int64_t n_embd_head_v = hparams.n_embd_head_v;
struct ggml_tensor * q = ggml_permute(ctx, q_cur, 0, 2, 1, 3);
cb(q, "q", il);
struct ggml_tensor * k =
ggml_view_3d(ctx, kv.k_l[il],
n_embd_head, n_kv, n_head_kv,
ggml_row_size(kv.k_l[il]->type, n_embd_gqa),
ggml_row_size(kv.k_l[il]->type, n_embd_head),
n_embd_head_k, n_kv, n_head_kv,
ggml_row_size(kv.k_l[il]->type, n_embd_k_gqa),
ggml_row_size(kv.k_l[il]->type, n_embd_head_k),
0);
cb(k, "k", il);
@@ -4278,9 +4333,9 @@ static struct ggml_tensor * llm_build_kqv(
// split cached v into n_head heads
struct ggml_tensor * v =
ggml_view_3d(ctx, kv.v_l[il],
n_kv, n_embd_head, n_head_kv,
n_kv, n_embd_head_v, n_head_kv,
ggml_element_size(kv.v_l[il])*n_ctx,
ggml_element_size(kv.v_l[il])*n_ctx*n_embd_head,
ggml_element_size(kv.v_l[il])*n_ctx*n_embd_head_v,
0);
cb(v, "v", il);
@@ -4290,7 +4345,7 @@ static struct ggml_tensor * llm_build_kqv(
struct ggml_tensor * kqv_merged = ggml_permute(ctx, kqv, 0, 2, 1, 3);
cb(kqv_merged, "kqv_merged", il);
struct ggml_tensor * cur = ggml_cont_2d(ctx, kqv_merged, n_embd, n_tokens);
struct ggml_tensor * cur = ggml_cont_2d(ctx, kqv_merged, n_embd_head_k*n_head, n_tokens);
cb(cur, "kqv_merged_cont", il);
cur = ggml_mul_mat(ctx, wo, cur);
@@ -4317,8 +4372,10 @@ struct llm_build_context {
const int64_t n_ctx; // user-specified context size (can be different from n_ctx_train)
const int64_t n_head;
const int64_t n_head_kv;
const int64_t n_embd_head;
const int64_t n_embd_gqa;
const int64_t n_embd_head_k;
const int64_t n_embd_k_gqa;
const int64_t n_embd_head_v;
const int64_t n_embd_v_gqa;
const int64_t n_expert;
const int64_t n_expert_used;
@@ -4360,8 +4417,10 @@ struct llm_build_context {
n_ctx (cparams.n_ctx),
n_head (hparams.n_head),
n_head_kv (hparams.n_head_kv),
n_embd_head (hparams.n_embd_head()),
n_embd_gqa (hparams.n_embd_gqa()),
n_embd_head_k (hparams.n_embd_head_k),
n_embd_k_gqa (hparams.n_embd_k_gqa()),
n_embd_head_v (hparams.n_embd_head_v),
n_embd_v_gqa (hparams.n_embd_v_gqa()),
n_expert (hparams.n_expert),
n_expert_used (hparams.n_expert_used),
freq_base (cparams.rope_freq_base),
@@ -4404,6 +4463,8 @@ struct llm_build_context {
struct ggml_cgraph * build_llama() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_head == hparams.n_rot);
struct ggml_tensor * cur;
@@ -4588,6 +4649,9 @@ struct llm_build_context {
struct ggml_cgraph * build_baichuan() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -4705,6 +4769,11 @@ struct llm_build_context {
struct ggml_cgraph * build_falcon() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -4824,6 +4893,11 @@ struct llm_build_context {
struct ggml_cgraph * build_starcoder() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * pos;
struct ggml_tensor * inpL;
@@ -4920,7 +4994,12 @@ struct llm_build_context {
struct ggml_cgraph * build_persimmon() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_rot = n_embd_head / 2;
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
const int64_t n_rot = n_embd_head_k / 2;
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5129,6 +5208,11 @@ struct llm_build_context {
struct ggml_cgraph * build_refact() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5217,6 +5301,11 @@ struct llm_build_context {
struct ggml_cgraph * build_bloom() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5308,6 +5397,11 @@ struct llm_build_context {
struct ggml_cgraph * build_mpt() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5403,6 +5497,9 @@ struct llm_build_context {
struct ggml_cgraph * build_stablelm() {
struct ggml_cgraph * gf = ggml_new_graph(ctx0);
const int64_t n_embd_head = hparams.n_embd_head_v;
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5513,6 +5610,9 @@ struct llm_build_context {
struct ggml_cgraph * build_qwen() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5624,6 +5724,11 @@ struct llm_build_context {
struct ggml_cgraph * build_phi2() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * attn_norm_output;
struct ggml_tensor * ffn_output;
@@ -5736,6 +5841,9 @@ struct llm_build_context {
struct ggml_cgraph * build_plamo() {
struct ggml_cgraph * gf = ggml_new_graph(ctx0);
const int64_t n_embd_head = hparams.n_embd_head_v;
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
struct ggml_tensor * cur;
struct ggml_tensor * inpL;
@@ -5840,6 +5948,11 @@ struct llm_build_context {
struct ggml_cgraph * build_gpt2() {
struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
const int64_t n_embd_head = hparams.n_embd_head_v;
const int64_t n_embd_gqa = hparams.n_embd_v_gqa();
GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
GGML_ASSERT(n_embd_gqa == n_embd);
struct ggml_tensor * cur;
struct ggml_tensor * pos;
struct ggml_tensor * inpL;
@@ -7917,7 +8030,7 @@ void llama_sample_softmax(struct llama_context * ctx, llama_token_data_array * c
}
}
void llama_sample_top_k(struct llama_context * ctx, llama_token_data_array * candidates, int k, size_t min_keep) {
void llama_sample_top_k(struct llama_context * ctx, llama_token_data_array * candidates, int32_t k, size_t min_keep) {
const int64_t t_start_sample_us = ggml_time_us();
k = std::max(k, (int) min_keep);
@@ -8277,7 +8390,7 @@ void llama_sample_classifier_free_guidance(
}
}
llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_data_array * candidates, float tau, float eta, int m, float * mu) {
llama_token llama_sample_token_mirostat(struct llama_context * ctx, llama_token_data_array * candidates, float tau, float eta, int32_t m, float * mu) {
GGML_ASSERT(ctx);
auto N = float(llama_n_vocab(llama_get_model(ctx)));
@@ -9485,7 +9598,7 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
return result;
}
int llama_max_devices(void) {
int32_t llama_max_devices(void) {
return LLAMA_MAX_DEVICES;
}
@@ -9627,8 +9740,8 @@ struct llama_context * llama_new_context_with_model(
const ggml_type type_k = params.type_k;
const ggml_type type_v = params.type_v;
GGML_ASSERT(hparams.n_embd_head() % ggml_blck_size(type_k) == 0);
GGML_ASSERT(hparams.n_embd_head() % ggml_blck_size(type_v) == 0);
GGML_ASSERT(hparams.n_embd_head_k % ggml_blck_size(type_k) == 0);
GGML_ASSERT(hparams.n_embd_head_v % ggml_blck_size(type_v) == 0);
// reserve memory for context buffers
if (!hparams.vocab_only) {
@@ -9796,15 +9909,15 @@ enum llama_vocab_type llama_vocab_type(const struct llama_model * model) {
return model->vocab.type;
}
int llama_n_vocab(const struct llama_model * model) {
int32_t llama_n_vocab(const struct llama_model * model) {
return model->vocab.id_to_token.size();
}
int llama_n_ctx_train(const struct llama_model * model) {
int32_t llama_n_ctx_train(const struct llama_model * model) {
return model->hparams.n_ctx_train;
}
int llama_n_embd(const struct llama_model * model) {
int32_t llama_n_embd(const struct llama_model * model) {
return model->hparams.n_embd;
}
@@ -9812,7 +9925,7 @@ float llama_rope_freq_scale_train(const struct llama_model * model) {
return model->hparams.rope_freq_scale_train;
}
int llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size) {
int32_t llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size) {
const auto & it = model->gguf_kv.find(key);
if (it == model->gguf_kv.end()) {
if (buf_size > 0) {
@@ -9823,11 +9936,11 @@ int llama_model_meta_val_str(const struct llama_model * model, const char * key,
return snprintf(buf, buf_size, "%s", it->second.c_str());
}
int llama_model_meta_count(const struct llama_model * model) {
int32_t llama_model_meta_count(const struct llama_model * model) {
return (int)model->gguf_kv.size();
}
int llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size) {
int32_t llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size) {
if (i < 0 || i >= (int)model->gguf_kv.size()) {
if (buf_size > 0) {
buf[0] = '\0';
@@ -9839,7 +9952,7 @@ int llama_model_meta_key_by_index(const struct llama_model * model, int i, char
return snprintf(buf, buf_size, "%s", it->first.c_str());
}
int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size) {
int32_t llama_model_meta_val_str_by_index(const struct llama_model * model, int32_t i, char * buf, size_t buf_size) {
if (i < 0 || i >= (int)model->gguf_kv.size()) {
if (buf_size > 0) {
buf[0] = '\0';
@@ -9851,9 +9964,10 @@ int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, c
return snprintf(buf, buf_size, "%s", it->second.c_str());
}
int llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size) {
return snprintf(buf, buf_size, "%s %s %s",
int32_t llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size) {
return snprintf(buf, buf_size, "%s %s%s %s",
llama_model_arch_name(model->arch).c_str(),
model->hparams.n_expert > 0 ? (std::to_string(model->hparams.n_expert) + "x").c_str() : "",
llama_model_type_name(model->type),
llama_model_ftype_name(model->ftype).c_str());
}
@@ -9878,7 +9992,7 @@ struct ggml_tensor * llama_get_model_tensor(struct llama_model * model, const ch
return ggml_get_tensor(model->ctx, name);
}
int llama_model_quantize(
uint32_t llama_model_quantize(
const char * fname_inp,
const char * fname_out,
const llama_model_quantize_params * params) {
@@ -9891,7 +10005,7 @@ int llama_model_quantize(
}
}
int llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lora, float scale, const char * path_base_model, int n_threads) {
int32_t llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lora, float scale, const char * path_base_model, int32_t n_threads) {
try {
return llama_apply_lora_from_file_internal(ctx->model, path_lora, scale, path_base_model, n_threads);
} catch (const std::exception & err) {
@@ -9900,7 +10014,7 @@ int llama_apply_lora_from_file(struct llama_context * ctx, const char * path_lor
}
}
int llama_model_apply_lora_from_file(const struct llama_model * model, const char * path_lora, float scale, const char * path_base_model, int n_threads) {
int32_t llama_model_apply_lora_from_file(const struct llama_model * model, const char * path_lora, float scale, const char * path_base_model, int32_t n_threads) {
try {
return llama_apply_lora_from_file_internal(*model, path_lora, scale, path_base_model, n_threads);
} catch (const std::exception & err) {
@@ -9998,7 +10112,7 @@ void llama_kv_cache_view_update(const struct llama_context * ctx, struct llama_k
}
}
int llama_get_kv_cache_token_count(const struct llama_context * ctx) {
int32_t llama_get_kv_cache_token_count(const struct llama_context * ctx) {
int result = 0;
for (uint32_t i = 0; i < ctx->kv_self.size; i++) {
@@ -10008,7 +10122,7 @@ int llama_get_kv_cache_token_count(const struct llama_context * ctx) {
return result;
}
int llama_get_kv_cache_used_cells(const struct llama_context * ctx) {
int32_t llama_get_kv_cache_used_cells(const struct llama_context * ctx) {
return ctx->kv_self.used;
}
@@ -10172,9 +10286,10 @@ static void llama_copy_state_data_internal(struct llama_context * ctx, llama_dat
const auto & hparams = ctx->model.hparams;
const auto & cparams = ctx->cparams;
const auto n_layer = hparams.n_layer;
const auto n_embd = hparams.n_embd_gqa();
const auto n_ctx = cparams.n_ctx;
const auto n_layer = hparams.n_layer;
const auto n_embd_k_gqa = hparams.n_embd_k_gqa();
const auto n_embd_v_gqa = hparams.n_embd_v_gqa();
const auto n_ctx = cparams.n_ctx;
const size_t kv_buf_size = ggml_backend_buffer_get_size(kv_self.buf);
const uint32_t kv_head = kv_self.head;
@@ -10196,15 +10311,15 @@ static void llama_copy_state_data_internal(struct llama_context * ctx, llama_dat
std::vector<struct ggml_tensor *> vout2d(n_layer);
for (int il = 0; il < (int) n_layer; ++il) {
kout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd, kv_head);
vout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd);
kout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd_k_gqa, kv_head);
vout2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd_v_gqa);
ggml_tensor * k2d = ggml_view_2d(cpy_ctx, kv_self.k_l[il],
n_embd, kv_head,
elt_size*n_embd, 0);
n_embd_k_gqa, kv_head,
elt_size*n_embd_k_gqa, 0);
ggml_tensor * v2d = ggml_view_2d(cpy_ctx, kv_self.v_l[il],
kv_head, n_embd,
kv_head, n_embd_v_gqa,
elt_size*n_ctx, 0);
ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, k2d, kout2d[il]));
@@ -10311,9 +10426,10 @@ size_t llama_set_state_data(struct llama_context * ctx, uint8_t * src) {
const auto & hparams = ctx->model.hparams;
const auto & cparams = ctx->cparams;
const int n_layer = hparams.n_layer;
const int n_embd = hparams.n_embd_gqa();
const int n_ctx = cparams.n_ctx;
const int n_layer = hparams.n_layer;
const int n_embd_k_gqa = hparams.n_embd_k_gqa();
const int n_embd_v_gqa = hparams.n_embd_v_gqa();
const int n_ctx = cparams.n_ctx;
size_t kv_buf_size;
uint32_t kv_head;
@@ -10337,15 +10453,15 @@ size_t llama_set_state_data(struct llama_context * ctx, uint8_t * src) {
std::vector<struct ggml_tensor *> vin2d(n_layer);
for (int il = 0; il < n_layer; ++il) {
kin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd, kv_head);
vin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd);
kin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.k_l[il]->type, n_embd_k_gqa, kv_head);
vin2d[il] = ggml_new_tensor_2d(cpy_ctx, kv_self.v_l[il]->type, kv_head, n_embd_v_gqa);
ggml_tensor * k2d = ggml_view_2d(cpy_ctx, kv_self.k_l[il],
n_embd, kv_head,
elt_size*n_embd, 0);
n_embd_k_gqa, kv_head,
elt_size*n_embd_k_gqa, 0);
ggml_tensor * v2d = ggml_view_2d(cpy_ctx, kv_self.v_l[il],
kv_head, n_embd,
kv_head, n_embd_v_gqa,
elt_size*n_ctx, 0);
ggml_build_forward_expand(gf, ggml_cpy(cpy_ctx, kin2d[il], k2d));
@@ -10488,7 +10604,7 @@ int llama_eval(
struct llama_context * ctx,
llama_token * tokens,
int32_t n_tokens,
int n_past) {
int32_t n_past) {
llama_kv_cache_seq_rm(ctx->kv_self, -1, n_past, -1);
const int ret = llama_decode_internal(*ctx, llama_batch_get_one(tokens, n_tokens, n_past, 0));
@@ -10503,7 +10619,7 @@ int llama_eval_embd(
struct llama_context * ctx,
float * embd,
int32_t n_tokens,
int n_past) {
int32_t n_past) {
llama_kv_cache_seq_rm(ctx->kv_self, -1, n_past, -1);
llama_batch batch = { n_tokens, nullptr, embd, nullptr, nullptr, nullptr, nullptr, n_past, 1, 0, };
@@ -10574,7 +10690,7 @@ void llama_batch_free(struct llama_batch batch) {
if (batch.logits) free(batch.logits);
}
int llama_decode(
int32_t llama_decode(
struct llama_context * ctx,
struct llama_batch batch) {
const int ret = llama_decode_internal(*ctx, batch);
@@ -10622,11 +10738,11 @@ llama_token llama_token_nl(const struct llama_model * model) {
return model->vocab.linefeed_id;
}
int llama_add_bos_token(const struct llama_model * model) {
int32_t llama_add_bos_token(const struct llama_model * model) {
return model->vocab.special_add_bos;
}
int llama_add_eos_token(const struct llama_model * model) {
int32_t llama_add_eos_token(const struct llama_model * model) {
return model->vocab.special_add_eos;
}
@@ -10646,12 +10762,12 @@ llama_token llama_token_eot(const struct llama_model * model) {
return model->vocab.special_eot_id;
}
int llama_tokenize(
int32_t llama_tokenize(
const struct llama_model * model,
const char * text,
int text_len,
int32_t text_len,
llama_token * tokens,
int n_max_tokens,
int32_t n_max_tokens,
bool add_bos,
bool special) {
auto res = llama_tokenize_internal(model->vocab, std::string(text, text_len), add_bos, special);
@@ -10679,7 +10795,7 @@ static std::string llama_decode_text(const std::string & text) {
}
// does not write null-terminator to buf
int llama_token_to_piece(const struct llama_model * model, llama_token token, char * buf, int length) {
int32_t llama_token_to_piece(const struct llama_model * model, llama_token token, char * buf, int32_t length) {
if (0 <= token && token < llama_n_vocab(model)) {
switch (llama_vocab_get_type(model->vocab)) {
case LLAMA_VOCAB_TYPE_SPM: {
+31 -32
View File
@@ -226,7 +226,7 @@ extern "C" {
// model quantization parameters
typedef struct llama_model_quantize_params {
int nthread; // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
int32_t nthread; // number of threads to use for quantizing, if <=0 will use std::thread::hardware_concurrency()
enum llama_ftype ftype; // quantize to this llama_ftype
bool allow_requantize; // allow quantizing non-f32/f16 tensors
bool quantize_output_tensor; // quantize output.weight
@@ -310,21 +310,20 @@ extern "C" {
LLAMA_API int64_t llama_time_us(void);
LLAMA_API int llama_max_devices (void);
LLAMA_API int32_t llama_max_devices(void);
LLAMA_API bool llama_mmap_supported (void);
LLAMA_API bool llama_mlock_supported(void);
LLAMA_API const struct llama_model * llama_get_model(const struct llama_context * ctx);
// TODO: become more consistent with returned int types across the API
LLAMA_API uint32_t llama_n_ctx (const struct llama_context * ctx);
LLAMA_API uint32_t llama_n_batch (const struct llama_context * ctx);
LLAMA_API enum llama_vocab_type llama_vocab_type(const struct llama_model * model);
LLAMA_API int llama_n_vocab (const struct llama_model * model);
LLAMA_API int llama_n_ctx_train(const struct llama_model * model);
LLAMA_API int llama_n_embd (const struct llama_model * model);
LLAMA_API int32_t llama_n_vocab (const struct llama_model * model);
LLAMA_API int32_t llama_n_ctx_train(const struct llama_model * model);
LLAMA_API int32_t llama_n_embd (const struct llama_model * model);
// Get the model's RoPE frequency scaling factor
LLAMA_API float llama_rope_freq_scale_train(const struct llama_model * model);
@@ -335,19 +334,19 @@ extern "C" {
// - GGUF array values are not supported by these functions
// Get metadata value as a string by key name
LLAMA_API int llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size);
LLAMA_API int32_t llama_model_meta_val_str(const struct llama_model * model, const char * key, char * buf, size_t buf_size);
// Get the number of metadata key/value pairs
LLAMA_API int llama_model_meta_count(const struct llama_model * model);
LLAMA_API int32_t llama_model_meta_count(const struct llama_model * model);
// Get metadata key name by index
LLAMA_API int llama_model_meta_key_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size);
LLAMA_API int32_t llama_model_meta_key_by_index(const struct llama_model * model, int32_t i, char * buf, size_t buf_size);
// Get metadata value as a string by index
LLAMA_API int llama_model_meta_val_str_by_index(const struct llama_model * model, int i, char * buf, size_t buf_size);
LLAMA_API int32_t llama_model_meta_val_str_by_index(const struct llama_model * model, int32_t i, char * buf, size_t buf_size);
// Get a string describing the model type
LLAMA_API int llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size);
LLAMA_API int32_t llama_model_desc(const struct llama_model * model, char * buf, size_t buf_size);
// Returns the total size of all the tensors in the model in bytes
LLAMA_API uint64_t llama_model_size(const struct llama_model * model);
@@ -359,7 +358,7 @@ extern "C" {
LLAMA_API struct ggml_tensor * llama_get_model_tensor(struct llama_model * model, const char * name);
// Returns 0 on success
LLAMA_API int llama_model_quantize(
LLAMA_API uint32_t llama_model_quantize(
const char * fname_inp,
const char * fname_out,
const llama_model_quantize_params * params);
@@ -370,20 +369,20 @@ extern "C" {
// The model needs to be reloaded before applying a new adapter, otherwise the adapter
// will be applied on top of the previous one
// Returns 0 on success
LLAMA_API DEPRECATED(int llama_apply_lora_from_file(
LLAMA_API DEPRECATED(int32_t llama_apply_lora_from_file(
struct llama_context * ctx,
const char * path_lora,
float scale,
const char * path_base_model,
int n_threads),
int32_t n_threads),
"use llama_model_apply_lora_from_file instead");
LLAMA_API int llama_model_apply_lora_from_file(
LLAMA_API int32_t llama_model_apply_lora_from_file(
const struct llama_model * model,
const char * path_lora,
float scale,
const char * path_base_model,
int n_threads);
int32_t n_threads);
//
// KV cache
@@ -439,10 +438,10 @@ extern "C" {
// Returns the number of tokens in the KV cache (slow, use only for debug)
// If a KV cell has multiple sequences assigned to it, it will be counted multiple times
LLAMA_API int llama_get_kv_cache_token_count(const struct llama_context * ctx);
LLAMA_API int32_t llama_get_kv_cache_token_count(const struct llama_context * ctx);
// Returns the number of used KV cells (i.e. have at least one sequence assigned to them)
LLAMA_API int llama_get_kv_cache_used_cells(const struct llama_context * ctx);
LLAMA_API int32_t llama_get_kv_cache_used_cells(const struct llama_context * ctx);
// Clear the KV cache
LLAMA_API void llama_kv_cache_clear(
@@ -533,7 +532,7 @@ extern "C" {
struct llama_context * ctx,
llama_token * tokens,
int32_t n_tokens,
int n_past),
int32_t n_past),
"use llama_decode() instead");
// Same as llama_eval, but use float matrix input directly.
@@ -542,7 +541,7 @@ extern "C" {
struct llama_context * ctx,
float * embd,
int32_t n_tokens,
int n_past),
int32_t n_past),
"use llama_decode() instead");
// Return batch for single sequence of tokens starting at pos_0
@@ -574,7 +573,7 @@ extern "C" {
// 0 - success
// 1 - could not find a KV slot for the batch (try reducing the size of the batch or increase the context)
// < 0 - error
LLAMA_API int llama_decode(
LLAMA_API int32_t llama_decode(
struct llama_context * ctx,
struct llama_batch batch);
@@ -614,10 +613,10 @@ extern "C" {
LLAMA_API llama_token llama_token_nl (const struct llama_model * model); // next-line
// Returns -1 if unknown, 1 for true or 0 for false.
LLAMA_API int llama_add_bos_token(const struct llama_model * model);
LLAMA_API int32_t llama_add_bos_token(const struct llama_model * model);
// Returns -1 if unknown, 1 for true or 0 for false.
LLAMA_API int llama_add_eos_token(const struct llama_model * model);
LLAMA_API int32_t llama_add_eos_token(const struct llama_model * model);
// codellama infill tokens
LLAMA_API llama_token llama_token_prefix(const struct llama_model * model); // Beginning of infill prefix
@@ -635,12 +634,12 @@ extern "C" {
/// @return Returns a negative number on failure - the number of tokens that would have been returned
/// @param special Allow tokenizing special and/or control tokens which otherwise are not exposed and treated as plaintext.
/// Does not insert a leading space.
LLAMA_API int llama_tokenize(
LLAMA_API int32_t llama_tokenize(
const struct llama_model * model,
const char * text,
int text_len,
int32_t text_len,
llama_token * tokens,
int n_max_tokens,
int32_t n_max_tokens,
bool add_bos,
bool special);
@@ -648,11 +647,11 @@ extern "C" {
// Uses the vocabulary in the provided context.
// Does not write null terminator to the buffer.
// User code is responsible to remove the leading whitespace of the first non-BOS token when decoding multiple tokens.
LLAMA_API int llama_token_to_piece(
LLAMA_API int32_t llama_token_to_piece(
const struct llama_model * model,
llama_token token,
char * buf,
int length);
int32_t length);
//
// Grammar
@@ -704,7 +703,7 @@ extern "C" {
LLAMA_API void llama_sample_top_k(
struct llama_context * ctx,
llama_token_data_array * candidates,
int k,
int32_t k,
size_t min_keep);
/// @details Nucleus sampling described in academic paper "The Curious Case of Neural Text Degeneration" https://arxiv.org/abs/1904.09751
@@ -763,7 +762,7 @@ extern "C" {
llama_token_data_array * candidates,
float tau,
float eta,
int m,
int32_t m,
float * mu);
/// @details Mirostat 2.0 algorithm described in the paper https://arxiv.org/abs/2007.14966. Uses tokens instead of words.
@@ -836,8 +835,8 @@ extern "C" {
llama_beam_search_callback_fn_t callback,
void * callback_data,
size_t n_beams,
int n_past,
int n_predict);
int32_t n_past,
int32_t n_predict);
// Performance information
LLAMA_API struct llama_timings llama_get_timings(struct llama_context * ctx);