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SYCL: Add non-contiguous support in ROPE (llama/12993)

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ggml-ci
This commit is contained in:
Akarshan Biswas 2025-04-21 19:13:30 +05:30 committed by Georgi Gerganov
parent 27a56e7243
commit 33c89ade7d
3 changed files with 96 additions and 110 deletions
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7
ggml/src/ggml-sycl/ggml-sycl.cpp
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@ -3168,11 +3168,6 @@ static void ggml_sycl_diag_mask_inf(ggml_backend_sycl_context & ctx, ggml_tensor
ggml_sycl_op_diag_mask_inf(ctx, dst);
}
static void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
GGML_ASSERT(ggml_is_contiguous(dst->src[0])); // TODO: this restriction is temporary until non-cont support is implemented
ggml_sycl_op_rope(ctx, dst);
}
static void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
ggml_sycl_op_pool2d(ctx, dst);
}
@ -4002,7 +3997,7 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
if (mode == GGML_ROPE_TYPE_MROPE) {
return false;
}
return ggml_is_contiguous(op->src[0]);
return true;
}
case GGML_OP_IM2COL:
return true;

189
ggml/src/ggml-sycl/rope.cpp
View File

@ -34,23 +34,21 @@ static void rope_yarn(
*sin_theta = sycl::sin(theta) * mscale;
}
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 i0 = 2 * (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
item_ct1.get_local_id(1));
template <typename T, bool has_ff>
static void rope_norm(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims,
const int32_t * pos, float freq_scale, float ext_factor, float attn_factor,
const rope_corr_dims corr_dims, const 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 (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 row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2);
if (i0 >= n_dims) {
const int i = row*ne0 + i0;
const int i = row * ne0 + i0;
dst[i + 0] = x[i + 0];
dst[i + 1] = x[i + 1];
@ -58,42 +56,43 @@ static void rope_norm(
return;
}
const int i = row*ne0 + i0;
const int i2 = row/p_delta_rows;
const int row0 = row % ne1;
const int channel0 = row / ne1;
const float theta_base = pos[i2] * sycl::pow(theta_scale, i0 / 2.0f);
const int i = row * ne0 + i0;
const int i2 = channel0 * s2 + row0 * s1 + i0;
const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f);
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
float cos_theta;
float sin_theta;
rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, 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];
const float x0 = x[i2 + 0];
const float x1 = x[i2 + 1];
dst[i + 0] = x0*cos_theta - x1*sin_theta;
dst[i + 1] = x0*sin_theta + x1*cos_theta;
dst[i + 0] = x0 * cos_theta - x1 * sin_theta;
dst[i + 1] = x0 * sin_theta + x1 * cos_theta;
}
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));
template <typename T, bool has_ff>
static void rope_neox(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2, const int n_dims,
const int32_t * pos, const float freq_scale, const float ext_factor, const float attn_factor,
const rope_corr_dims corr_dims, const float theta_scale, const float * freq_factors,
const 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 (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 row = item_ct1.get_local_range(2) * item_ct1.get_group(2) + item_ct1.get_local_id(2);
if (i0 >= n_dims) {
const int i = row*ne0 + i0;
const int i = row * ne0 + i0;
dst[i + 0] = x[i + 0];
dst[i + 1] = x[i + 1];
@ -101,23 +100,26 @@ static void rope_neox(
return;
}
const int i = row*ne0 + i0/2;
const int i2 = row/p_delta_rows;
const int row0 = row % ne1;
const int channel0 = row / ne1;
const float theta_base = pos[i2] * sycl::pow(theta_scale, i0 / 2.0f);
const int i = row * ne0 + i0 / 2;
const int i2 = channel0 * s2 + row0 * s1 + i0 / 2;
const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
const float theta_base = pos[channel0] * sycl::pow(theta_scale, i0 / 2.0f);
const float freq_factor = has_ff ? freq_factors[i0 / 2] : 1.0f;
float cos_theta;
float sin_theta;
rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, 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];
const float x0 = x[i2 + 0];
const float x1 = x[i2 + n_dims / 2];
dst[i + 0] = x0*cos_theta - x1*sin_theta;
dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
dst[i + 0] = x0 * cos_theta - x1 * sin_theta;
dst[i + n_dims / 2] = x0 * sin_theta + x1 * cos_theta;
}
template <typename T, bool has_ff>
@ -163,18 +165,18 @@ static void rope_vision(const T * x, T * dst, const int ne0, const int ne1, cons
}
template <typename T>
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, const float * freq_factors, queue_ptr stream) {
static void rope_norm_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2,
const int n_dims, int nr, const int32_t * pos, const float freq_scale, const float freq_base,
const float ext_factor, const float attn_factor, const rope_corr_dims corr_dims,
const float * freq_factors, 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 = (ne0 + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const int num_blocks_x = (ne0 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, num_blocks_x, nr);
const float theta_scale = powf(freq_base, -2.0f/n_dims);
const float theta_scale = powf(freq_base, -2.0f / n_dims);
dpct::has_capability_or_fail(stream->get_device(),
{sycl::aspect::fp16});
dpct::has_capability_or_fail(stream->get_device(), { sycl::aspect::fp16 });
if (freq_factors == nullptr) {
/*
@ -182,12 +184,9 @@ static void rope_norm_sycl(
the limit. To get the device limit, query
info::device::max_work_group_size. Adjust the work-group size if needed.
*/
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
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);
stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
rope_norm<T, false>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
theta_scale, freq_factors, item_ct1);
});
} else {
/*
@ -195,47 +194,36 @@ static void rope_norm_sycl(
the limit. To get the device limit, query
info::device::max_work_group_size. Adjust the work-group size if needed.
*/
stream->parallel_for(
sycl::nd_range<3>(block_nums * block_dims, block_dims),
[=](sycl::nd_item<3> item_ct1) {
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);
stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
rope_norm<T, true>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, 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 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, queue_ptr stream) {
static void rope_neox_sycl(const T * x, T * dst, const int ne0, const int ne1, const int s1, const int s2,
const int n_dims, const int nr, const int32_t * pos, const float freq_scale,
const float freq_base, const float ext_factor, const float attn_factor,
const rope_corr_dims corr_dims, const float * freq_factors, 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 = (ne0 + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
const int num_blocks_x = (ne0 + 2 * SYCL_ROPE_BLOCK_SIZE - 1) / (2 * SYCL_ROPE_BLOCK_SIZE);
const sycl::range<3> block_nums(1, num_blocks_x, nr);
const float theta_scale = powf(freq_base, -2.0f/n_dims);
const float theta_scale = powf(freq_base, -2.0f / n_dims);
dpct::has_capability_or_fail(stream->get_device(),
{sycl::aspect::fp16});
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>(x, dst, ne0, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, freq_factors,
item_ct1);
stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
rope_neox<T, false>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, 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, true>(x, dst, ne0, n_dims, pos, freq_scale,
p_delta_rows, ext_factor, attn_factor,
corr_dims, theta_scale, freq_factors,
item_ct1);
stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims), [=](sycl::nd_item<3> item_ct1) {
rope_neox<T, true>(x, dst, ne0, ne1, s1, s2, n_dims, pos, freq_scale, ext_factor, attn_factor, corr_dims,
theta_scale, freq_factors, item_ct1);
});
}
}
@ -272,7 +260,7 @@ static void rope_vision_sycl(const T * x, T * dst, const int ne0, const int ne1,
}
}
void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32 || dst->src[0]->type == GGML_TYPE_F16);
GGML_ASSERT( dst->type == GGML_TYPE_F32 || dst->type == GGML_TYPE_F16);
@ -329,43 +317,46 @@ void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
if (is_neox) {
GGML_SYCL_DEBUG("%s: neox path\n", __func__);
if (dst->src[0]->type == GGML_TYPE_F32) {
rope_neox_sycl(
(const float *)dst->src[0]->data, (float *)dst->data, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
rope_neox_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr,
pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream);
} else if (dst->src[0]->type == GGML_TYPE_F16) {
rope_neox_sycl(
(const sycl::half *)dst->src[0]->data, (sycl::half *)dst->data, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
rope_neox_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02,
n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
main_stream);
} else {
GGML_ABORT("fatal error");
}
} else if (is_vision) {
GGML_SYCL_DEBUG("%s: vision path\n", __func__);
if (dst->src[0]->type == GGML_TYPE_F16) {
rope_vision_sycl((const sycl::half *)dst->src[0]->data, (sycl::half *)dst->data, ne00, ne01, ne02, s01, s02, n_dims, nr, pos, freq_scale,
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, main_stream);
rope_vision_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, ne02, s01,
s02, n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims,
freq_factors, sections, main_stream);
} else if (dst->src[0]->type == GGML_TYPE_F32) {
rope_vision_sycl((const float *) dst->src[0]->data, (float *)dst->data, ne00, ne01, ne02, s01, s02, n_dims, nr, pos, freq_scale,
freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections, main_stream);
rope_vision_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, ne02, s01, s02, n_dims,
nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, sections,
main_stream);
} else {
GGML_ABORT("Fatal error: Tensor type unsupported!");
}
} else {
GGML_SYCL_DEBUG("%s: norm path\n", __func__);
if (dst->src[0]->type == GGML_TYPE_F32) {
rope_norm_sycl(
(const float *)dst->src[0]->data, (float *)dst->data, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
rope_norm_sycl((const float *) dst->src[0]->data, (float *) dst->data, ne00, ne01, s01, s02, n_dims, nr,
pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, main_stream);
} else if (dst->src[0]->type == GGML_TYPE_F16) {
rope_norm_sycl(
(const sycl::half *)dst->src[0]->data, (sycl::half *)dst->data, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
attn_factor, corr_dims, freq_factors, main_stream
);
rope_norm_sycl((const sycl::half *) dst->src[0]->data, (sycl::half *) dst->data, ne00, ne01, s01, s02,
n_dims, nr, pos, freq_scale, freq_base, ext_factor, attn_factor, corr_dims, freq_factors,
main_stream);
} else {
GGML_ABORT("fatal error");
}
}
}
void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_rope(ctx, dst);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}

2
ggml/src/ggml-sycl/rope.hpp
View File

@ -15,6 +15,6 @@
#include "common.hpp"
void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst);
void ggml_sycl_rope(ggml_backend_sycl_context & ctx, ggml_tensor *dst);
#endif // GGML_SYCL_ROPE_HPP