Mirrors/llama.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-12-27 06:39:25 +01:00
Code Issues Packages Projects Releases Wiki Activity

[SYCL] unify rope norm/neox

Browse Source 
As per: https://github.com/ggerganov/llama.cpp/pull/7634

Signed-off-by: Joe Todd <joe.todd@codeplay.com>
This commit is contained in:
Joe Todd 2024-06-13 10:30:43 +01:00
parent a9cae48003
commit 9b81b57239
1 changed files with 68 additions and 100 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

168
ggml-sycl.cpp
View File

@ -8826,7 +8826,7 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
}
struct rope_corr_dims {
float v[4];
float v[2];
};
// YaRN algorithm based on LlamaYaRNScaledRotaryEmbedding.py from https://github.com/jquesnelle/yarn
@ -8850,29 +8850,38 @@ static void rope_yarn(
}
// rope == RoPE == rotary positional embedding
template<typename T, bool has_pos>
static void rope(
const T * x, T * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
float ext_factor, float attn_factor, rope_corr_dims corr_dims
,
template<typename T, bool has_ff>
static void rope_norm(
const T * x, T * dst, int ne0, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors,
const sycl::nd_item<3> &item_ct1) {
const int col = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
item_ct1.get_local_id(1));
if (col >= ncols) {
if (i0 >= ne0) {
return;
}
const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
const int i = row*ncols + col;
if (i0 >= n_dims) {
const int i = row*ne0 + i0;
dst[i + 0] = x[i + 0];
dst[i + 1] = x[i + 1];
return;
}
const int i = row*ne0 + i0;
const int i2 = row/p_delta_rows;
const int p = has_pos ? pos[i2] : 0;
const float theta_base = p * dpct::pow(freq_base, -float(col) / ncols);
const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
float cos_theta, sin_theta;
rope_yarn(theta_base, freq_scale, corr_dims, col, ext_factor, attn_factor, &cos_theta, &sin_theta);
rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
const float x0 = x[i + 0];
const float x1 = x[i + 1];
@ -8881,25 +8890,25 @@ static void rope(
dst[i + 1] = x0*sin_theta + x1*cos_theta;
}
template<typename T, bool has_pos, bool has_freq_facs>
static void rope_neox(
const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, float inv_ndims,
const float * freq_factors, const sycl::nd_item<3> &item_ct1) {
const int col = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
template <typename T, bool has_ff>
static void rope_neox(const T *x, T *dst, int ne0, int n_dims,
const int32_t *pos, float freq_scale, int p_delta_rows,
float ext_factor, float attn_factor,
rope_corr_dims corr_dims, float theta_scale,
const float *freq_factors,
const sycl::nd_item<3> &item_ct1) {
const int i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
item_ct1.get_local_id(1));
if (col >= ncols) {
if (i0 >= ne0) {
return;
}
const int row = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
const int ib = col / n_dims;
const int ic = col % n_dims;
if (ib > 0) {
const int i = row*ncols + ib*n_dims + ic;
if (i0 >= n_dims) {
const int i = row*ne0 + i0;
dst[i + 0] = x[i + 0];
dst[i + 1] = x[i + 1];
@ -8907,19 +8916,14 @@ static void rope_neox(
return;
}
const int i = row*ncols + ib*n_dims + ic/2;
const int i = row*ne0 + i0/2;
const int i2 = row/p_delta_rows;
float cur_rot = inv_ndims * ic - ib;
const int p = has_pos ? pos[i2] : 0;
const float freq_factor = has_freq_facs ? freq_factors[ic/2] : 1.0f;
const float theta_base =
p * freq_scale * dpct::pow(theta_scale, col / 2.0f)/freq_factor;
const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
float cos_theta, sin_theta;
rope_yarn(theta_base, freq_scale, corr_dims, cur_rot, ext_factor, attn_factor, &cos_theta, &sin_theta);
rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
const float x0 = x[i + 0];
const float x1 = x[i + n_dims/2];
@ -12375,15 +12379,18 @@ static void clamp_f32_sycl(const float *x, float *dst, const float min,
}
template <typename T>
static void rope_sycl(const T *x, T *dst, int ncols, int nrows,
static void rope_norm_sycl(const T *x, T *dst, int ne0, int n_dims, int nr,
const int32_t *pos, float freq_scale, int p_delta_rows,
float freq_base, float ext_factor, float attn_factor,
rope_corr_dims corr_dims, dpct::queue_ptr stream) {
GGML_ASSERT(ncols % 2 == 0);
rope_corr_dims corr_dims, const float * freq_factors, dpct::queue_ptr stream) {
GGML_ASSERT(ne0 % 2 == 0);
const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, num_blocks_x, nrows);
if (pos == nullptr) {
const int n_blocks_x = (ne0 + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, n_blocks_x, nr);
const float theta_scale = powf(freq_base, -2.0f/n_dims);
if (freq_factors == nullptr) {
/*
DPCT1049:40: The work-group size passed to the SYCL kernel may exceed
the limit. To get the device limit, query
@ -12395,8 +12402,8 @@ static void rope_sycl(const T *x, T *dst, int ncols, int nrows,
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope<T, false>(x, dst, ncols, pos, freq_scale, p_delta_rows,
freq_base, ext_factor, attn_factor, corr_dims,
rope_norm<T, false>(x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows,
ext_factor, attn_factor, corr_dims, theta_scale, freq_factors,
item_ct1);
});
} else {
@ -12411,70 +12418,46 @@ static void rope_sycl(const T *x, T *dst, int ncols, int nrows,
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope<T, true>(x, dst, ncols, pos, freq_scale, p_delta_rows,
freq_base, ext_factor, attn_factor, corr_dims,
rope_norm<T, true>(x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows,
ext_factor, attn_factor, corr_dims, theta_scale, freq_factors,
item_ct1);
});
}
}
template <typename T>
static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
static void rope_neox_sycl(const T *x, T *dst, int ne0, int n_dims, int nr,
const int32_t *pos, float freq_scale,
int p_delta_rows, float freq_base, float ext_factor,
float attn_factor, rope_corr_dims corr_dims,
const float * freq_factors, dpct::queue_ptr stream) {
GGML_ASSERT(ncols % 2 == 0);
GGML_ASSERT(ne0 % 2 == 0);
const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, num_blocks_x, nrows);
const int n_blocks_x = (ne0 + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, n_blocks_x, nr);
const float theta_scale = powf(freq_base, -2.0f/n_dims);
const float inv_ndims = -1.0f / n_dims;
if (pos == nullptr) {
dpct::has_capability_or_fail(stream->get_device(),
{sycl::aspect::fp16});
if (freq_factors == nullptr) {
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope_neox<T, false, false>(x, dst, ncols, n_dims, pos, freq_scale,
rope_neox<T, false>(x, dst, ne0, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, inv_ndims, freq_factors,
corr_dims, theta_scale, freq_factors,
item_ct1);
});
} else {
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope_neox<T, false, true>(x, dst, ncols, n_dims, pos, freq_scale,
rope_neox<T, true>(x, dst, ne0, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, inv_ndims, freq_factors,
corr_dims, theta_scale, freq_factors,
item_ct1);
});
}
} else {
dpct::has_capability_or_fail(stream->get_device(),
{sycl::aspect::fp16});
if (freq_factors == nullptr) {
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope_neox<T, true, false>(x, dst, ncols, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
});
} else {
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
rope_neox<T, true, true>(x, dst, ncols, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, inv_ndims, freq_factors, item_ct1);
});
}
}
}
@ -14005,8 +13988,7 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
const int64_t ne00 = src0->ne[0];
const int64_t ne01 = src0->ne[1];
const int64_t ne2 = dst->ne[2];
const int64_t nrows = ggml_nrows(src0);
const int64_t nr = ggml_nrows(src0);
//const int n_past = ((int32_t *) dst->op_params)[0];
const int n_dims = ((int32_t *) dst->op_params)[1];
@ -14023,27 +14005,13 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
memcpy(&beta_fast, (int32_t *) dst->op_params + 9, sizeof(float));
memcpy(&beta_slow, (int32_t *) dst->op_params + 10, sizeof(float));
const float * freq_factors = nullptr;
const int32_t * pos = nullptr;
if ((mode & 1) == 0) {
GGML_ASSERT(src1->type == GGML_TYPE_I32);
GGML_ASSERT(src1->ne[0] == ne2);
pos = (const int32_t *) src1_dd;
}
const bool is_neox = mode & 2;
#pragma message("TODO: update rope NORM mode to match NEOX mode")
#pragma message(" https://github.com/ggerganov/llama.cpp/pull/7634")
if (is_neox) {
pos = (const int32_t *) src1_dd;
const int32_t * pos = (const int32_t *) src1_dd;
const float * freq_factors = nullptr;
if (src2 != nullptr) {
freq_factors = (const float *) src2->data;
}
} else {
GGML_ASSERT(src2 == nullptr && "TODO: freq_factors not implemented for !is_neox");
}
rope_corr_dims corr_dims;
@ -14053,12 +14021,12 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
if (is_neox) {
if (src0->type == GGML_TYPE_F32) {
rope_neox_sycl(
(const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
(const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
} else if (src0->type == GGML_TYPE_F16) {
rope_neox_sycl((const sycl::half *)src0_dd, (sycl::half *)dst_dd,
ne00, n_dims, nrows, pos, freq_scale, ne01,
ne00, n_dims, nr, pos, freq_scale, ne01,
freq_base, ext_factor, attn_factor, corr_dims,
freq_factors, main_stream);
} else {
@ -14066,14 +14034,14 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
}
} else {
if (src0->type == GGML_TYPE_F32) {
rope_sycl(
(const float *)src0_dd, (float *)dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, main_stream
rope_norm_sycl(
(const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
} else if (src0->type == GGML_TYPE_F16) {
rope_sycl((const sycl::half *)src0_dd, (sycl::half *)dst_dd, ne00,
nrows, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, main_stream);
rope_norm_sycl((const sycl::half *)src0_dd, (sycl::half *)dst_dd, ne00,
n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream);
} else {
GGML_ASSERT(false);
}