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llama.cpp/ggml/src/ggml-sycl/element_wise.cpp
Zhiyuan Li 3bcd40b3c5
Optimize RWKV6 Operator Naming and Implement Multi-core CPU/ SYCL Acceleration (#10133) 
* rwkv6: rename to wkv6

* rwkv6: support avx2 avx512 armv8 armv9

* rwkv6: update cuda file name

* rwkv6: rename params

* wkv on sycl

* sycl: add some ops

* sycl: Enhance OP support judgment

* wkv6: drop armv9 and tranfer to GGML style

ggml-ci

* sync : ggml

* update the function to use appropriate types

* fix define error

* Update ggml/src/ggml-cpu.c

* add appropriate asserts

* move element-wise functions outside

* put the declaration outside the loop

* rewrite to be more inline with the common pattern for distributing threads

* use recommended way GGML_TENSOR_LOCALS

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Diego Devesa <slarengh@gmail.com>
Co-authored-by: Plamen Minev <pacominev@gmail.com>
Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <airdldl@163.com>
2024-11-07 15:19:10 +08:00

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#include "common.hpp"
#include "element_wise.hpp"
void acc_f32(const float * x, const float * y, float * dst, const int ne,
const int ne10, const int ne11, const int ne12,
const int nb1, const int nb2, int offset, const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= ne) {
return;
}
int src1_idx = i - offset;
int oz = src1_idx / nb2;
int oy = (src1_idx - (oz * nb2)) / nb1;
int ox = src1_idx % nb1;
if (src1_idx >= 0 && ox < ne10 && oy < ne11 && oz < ne12) {
dst[i] = x[i] + y[ox + oy * ne10 + oz * ne10 * ne11];
} else {
dst[i] = x[i];
}
}
void gelu_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const float GELU_COEF_A = 0.044715f;
const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
float xi = x[i];
dst[i] = 0.5f * xi *
(1.0f +
sycl::tanh(SQRT_2_OVER_PI * xi * (1.0f + GELU_COEF_A * xi * xi)));
}
void silu_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = x[i] / (1.0f + sycl::native::exp(-x[i]));
}
void gelu_quick_f32(const float *x, float *dst, int k,
const sycl::nd_item<3> &item_ct1) {
const float GELU_QUICK_COEF = -1.702f;
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = x[i] * (1.0f / (1.0f + sycl::native::exp(GELU_QUICK_COEF * x[i])));
}
void tanh_f32(const float *x, float *dst, int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::tanh((float)(x[i]));
}
void relu_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::fmax((float)(x[i]), (float)0);
}
void sigmoid_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = 1.0f / (1.0f + sycl::native::exp(-x[i]));
}
void sqrt_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::sqrt(x[i]);
}
void sin_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::sin(x[i]);
}
void cos_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::cos(x[i]);
}
void hardsigmoid_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::fmin(1.0f, sycl::fmax(0.0f, (x[i] + 3.0f) / 6.0f));
}
void hardswish_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = x[i] * sycl::fmin(1.0f, sycl::fmax(0.0f, (x[i] + 3.0f) / 6.0f));
}
void exp_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::exp(x[i]);
}
void log_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
float xi = x[i];
if (xi <= 0) {
dst[i] = -INFINITY;
} else {
dst[i] = sycl::log(xi);
}
}
void neg_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = -x[i];
}
void step_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = x[i] > 0.0f;
}
void leaky_relu_f32(const float *x, float *dst, const int k, const float negative_slope,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = sycl::fmax((float)(x[i]), (float)0) +
sycl::fmin((float)(x[i]), 0.0f) * negative_slope;
}
void sqr_f32(const float * x, float * dst, const int k,
const sycl::nd_item<3> &item_ct1) {
const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
item_ct1.get_local_id(2);
if (i >= k) {
return;
}
dst[i] = x[i] * x[i];
}
void upscale_f32(const float *x, float *dst, const int nb00, const int nb01,
const int nb02, const int nb03, const int ne10, const int ne11,
const int ne12, const int ne13, const float sf0, const float sf1,
const float sf2, const float sf3, const sycl::nd_item<1> &item_ct1) {
int index = item_ct1.get_local_id(0) +
item_ct1.get_group(0) * item_ct1.get_local_range(0);
if (index >= ne10 * ne11 * ne12 * ne13) {
return;
}
// operation
int i10 = index % ne10;
int i11 = (index / ne10) % ne11;
int i12 = (index / (ne10 * ne11)) % ne12;
int i13 = (index / (ne10 * ne11 * ne12)) % ne13;
int i00 = i10 / sf0;
int i01 = i11 / sf1;
int i02 = i12 / sf2;
int i03 = i13 / sf3;
dst[index] = *(float *)((char *)x + i03 * nb03 + i02 * nb02 + i01 * nb01 + i00 * nb00);
}
void pad_f32(const float *x, float *dst, const int ne0, const int ne00, const int ne01, const int ne02,
const sycl::nd_item<3> &item_ct1) {
int nidx = item_ct1.get_local_id(2) +
item_ct1.get_group(2) * item_ct1.get_local_range(2);
if (nidx >= ne0) {
return;
}
// operation
int offset_dst = nidx + item_ct1.get_group(1) * ne0 +
item_ct1.get_group(0) * ne0 * item_ct1.get_group_range(1);
if (nidx < ne00 && item_ct1.get_group(1) < ne01 &&
item_ct1.get_group(0) < ne02) {
int offset_src = nidx + item_ct1.get_group(1) * ne00 +
item_ct1.get_group(0) * ne00 * ne01;
dst[offset_dst] = x[offset_src];
} else {
dst[offset_dst] = 0.0f;
}
}
void acc_f32_sycl(const float *x, const float *y, float *dst,
const int n_elements, const int ne10, const int ne11,
const int ne12, const int nb1, const int nb2,
const int offset, queue_ptr stream) {
int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_ACC_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
acc_f32(x, y, dst, n_elements, ne10, ne11, ne12, nb1, nb2, offset,
item_ct1);
});
}
void gelu_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_GELU_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_GELU_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
gelu_f32(x, dst, k, item_ct1);
});
}
void silu_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SILU_BLOCK_SIZE - 1) / SYCL_SILU_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SILU_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SILU_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
silu_f32(x, dst, k, item_ct1);
});
}
void gelu_quick_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_GELU_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_GELU_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
gelu_quick_f32(x, dst, k, item_ct1);
});
}
void tanh_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_TANH_BLOCK_SIZE - 1) / SYCL_TANH_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_TANH_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_TANH_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
tanh_f32(x, dst, k, item_ct1);
});
}
void relu_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_RELU_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_RELU_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
relu_f32(x, dst, k, item_ct1);
});
}
void hardsigmoid_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_HARDSIGMOID_BLOCK_SIZE - 1) / SYCL_HARDSIGMOID_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_HARDSIGMOID_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_HARDSIGMOID_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
hardsigmoid_f32(x, dst, k, item_ct1);
});
}
void hardswish_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_HARDSWISH_BLOCK_SIZE - 1) / SYCL_HARDSWISH_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_HARDSWISH_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_HARDSWISH_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
hardswish_f32(x, dst, k, item_ct1);
});
}
void exp_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_EXP_BLOCK_SIZE - 1) / SYCL_EXP_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_EXP_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_EXP_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
exp_f32(x, dst, k, item_ct1);
});
}
void log_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_EXP_BLOCK_SIZE - 1) / SYCL_EXP_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_EXP_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_EXP_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
log_f32(x, dst, k, item_ct1);
});
}
void neg_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_NEG_BLOCK_SIZE - 1) / SYCL_NEG_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_NEG_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_NEG_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
neg_f32(x, dst, k, item_ct1);
});
}
void step_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_NEG_BLOCK_SIZE - 1) / SYCL_NEG_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_NEG_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_NEG_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
step_f32(x, dst, k, item_ct1);
});
}
void sigmoid_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SIGMOID_BLOCK_SIZE - 1) / SYCL_SIGMOID_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SIGMOID_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SIGMOID_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
sigmoid_f32(x, dst, k, item_ct1);
});
}
void sqrt_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SQRT_BLOCK_SIZE - 1) / SYCL_SQRT_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SQRT_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SQRT_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
sqrt_f32(x, dst, k, item_ct1);
});
}
void sin_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SIN_BLOCK_SIZE - 1) / SYCL_SIN_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SIN_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SIN_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
sin_f32(x, dst, k, item_ct1);
});
}
void cos_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SIN_BLOCK_SIZE - 1) / SYCL_SIN_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SIN_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SIN_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
cos_f32(x, dst, k, item_ct1);
});
}
void leaky_relu_f32_sycl(const float *x, float *dst, const int k,
const float negative_slope,
queue_ptr stream) {
const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_RELU_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_RELU_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
leaky_relu_f32(x, dst, k, negative_slope, item_ct1);
});
}
void sqr_f32_sycl(const float *x, float *dst, const int k,
queue_ptr stream) {
const int num_blocks = (k + SYCL_SQR_BLOCK_SIZE - 1) / SYCL_SQR_BLOCK_SIZE;
stream->parallel_for(
sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
sycl::range<3>(1, 1, SYCL_SQR_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_SQR_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
sqr_f32(x, dst, k, item_ct1);
});
}
void upscale_f32_sycl(const float *x, float *dst, const int nb00, const int nb01,
const int nb02, const int nb03, const int ne10, const int ne11,
const int ne12, const int ne13, const float sf0, const float sf1,
const float sf2, const float sf3, queue_ptr stream) {
int dst_size = ne10 * ne11 * ne12 * ne13;
int num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE;
sycl::range<1> gridDim(num_blocks * SYCL_UPSCALE_BLOCK_SIZE);
stream->parallel_for(
sycl::nd_range<1>(gridDim, sycl::range<1>(SYCL_UPSCALE_BLOCK_SIZE)),
[=](sycl::nd_item<1> item_ct1) {
upscale_f32(x, dst, nb00, nb01, nb02, nb03, ne10, ne11, ne12, ne13, sf0, sf1, sf2, sf3, item_ct1);
});
}
void pad_f32_sycl(const float *x, float *dst, const int ne00,
const int ne01, const int ne02, const int ne0,
const int ne1, const int ne2, queue_ptr stream) {
int num_blocks = (ne0 + SYCL_PAD_BLOCK_SIZE - 1) / SYCL_PAD_BLOCK_SIZE;
sycl::range<3> gridDim(ne2, ne1, num_blocks);
stream->parallel_for(
sycl::nd_range<3>(gridDim * sycl::range<3>(1, 1, SYCL_PAD_BLOCK_SIZE),
sycl::range<3>(1, 1, SYCL_PAD_BLOCK_SIZE)),
[=](sycl::nd_item<3> item_ct1) {
pad_f32(x, dst, ne0, ne00, ne01, ne02, item_ct1);
});
}
inline void ggml_sycl_op_silu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
silu_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
gelu_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
gelu_quick_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
tanh_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
relu_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
hardsigmoid_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
hardswish_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_exp(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
exp_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_log(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
log_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_sigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
sigmoid_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_sqrt(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
sqrt_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_sin(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
sin_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_cos(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
cos_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_step(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
step_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_neg(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd, const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
neg_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
float negative_slope;
memcpy(&negative_slope, dst->op_params, sizeof(float));
leaky_relu_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), negative_slope, main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
sqr_f32_sycl(src0_dd, dst_dd, ggml_nelements(src0), main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
const ggml_tensor *src1, ggml_tensor *dst,
const float *src0_dd, const float *src1_dd,
float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(dst->type == GGML_TYPE_F32);
const float sf0 = (float)dst->ne[0]/src0->ne[0];
const float sf1 = (float)dst->ne[1]/src0->ne[1];
const float sf2 = (float)dst->ne[2]/src0->ne[2];
const float sf3 = (float)dst->ne[3]/src0->ne[3];
upscale_f32_sycl(src0_dd, dst_dd, src0->nb[0], src0->nb[1], src0->nb[2], src0->nb[3],
dst->ne[0], dst->ne[1], dst->ne[2], dst->ne[3], sf0, sf1, sf2, sf3,
main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_pad(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(dst->type == GGML_TYPE_F32);
GGML_ASSERT(src0->ne[3] == 1 && dst->ne[3] == 1); // just 3D tensors
pad_f32_sycl(src0_dd, dst_dd,
src0->ne[0], src0->ne[1], src0->ne[2],
dst->ne[0], dst->ne[1], dst->ne[2], main_stream);
(void) src1;
(void) dst;
(void) src1_dd;
}
inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
GGML_ASSERT(src0->type == GGML_TYPE_F32);
GGML_ASSERT(src1->type == GGML_TYPE_F32);
GGML_ASSERT( dst->type == GGML_TYPE_F32);
GGML_ASSERT(dst->ne[3] == 1); // just 3D tensors supported
int nb1 = dst->op_params[0] / 4; // 4 bytes of float32
int nb2 = dst->op_params[1] / 4; // 4 bytes of float32
// int nb3 = dst->op_params[2] / 4; // 4 bytes of float32 - unused
int offset = dst->op_params[3] / 4; // offset in bytes
acc_f32_sycl(src0_dd, src1_dd, dst_dd, ggml_nelements(dst), src1->ne[0], src1->ne[1], src1->ne[2], nb1, nb2, offset, main_stream);
(void) dst;
}
inline void ggml_sycl_op_add(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_add>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
}
inline void ggml_sycl_op_sub(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_sub>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
}
inline void ggml_sycl_op_mul(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_mul>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
}
inline void ggml_sycl_op_div(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
ggml_tensor *dst, const float *src0_dd,
const float *src1_dd, float *dst_dd,
const queue_ptr &main_stream) {
ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_div>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
}
void ggml_sycl_sqrt(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sqrt);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_sin(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sin);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_cos(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_cos);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_acc(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_acc);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_silu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_silu);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu_quick);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_tanh);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_relu);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_sigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sigmoid);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardsigmoid);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardswish);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_exp(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_exp);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_log(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_log);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_neg(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_neg);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_step(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_step);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_leaky_relu);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sqr);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_upscale);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_pad(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_pad);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_add(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_add);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_sub(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sub);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_mul(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_mul);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
void ggml_sycl_div(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
GGML_SYCL_DEBUG("call %s\n", __func__);
ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_div);
GGML_SYCL_DEBUG("call %s done\n", __func__);
}
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