--- /dev/null
+#include "binbcast.hpp"
+
+#include <cstddef>
+#include <cstdint>
+#include <sycl/sycl.hpp>
+
+#include "ggml.h"
+
+template<float (*bin_op)(const float, const float), typename src0_t, typename src1_t, typename dst_t>
+static void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst_t * dst,
+ int ne0, int ne1, int ne2, int ne3,
+ int ne10, int ne11, int ne12, int ne13,
+ /*int s0, */ int s1, int s2, int s3,
+ /*int s00,*/ int s01, int s02, int s03,
+ /*int s10,*/ int s11, int s12, int s13,
+ const sycl::nd_item<3> &item_ct1) {
+ const int i0s = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+ item_ct1.get_local_id(2);
+ const int i1 = (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
+ item_ct1.get_local_id(1));
+ const int i2 = (item_ct1.get_local_range(0) * item_ct1.get_group(0) +
+ item_ct1.get_local_id(0)) /
+ ne3;
+ const int i3 = (item_ct1.get_local_range(0) * item_ct1.get_group(0) +
+ item_ct1.get_local_id(0)) %
+ ne3;
+
+ if (i0s >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) {
+ return;
+ }
+
+ const int i11 = i1 % ne11;
+ const int i12 = i2 % ne12;
+ const int i13 = i3 % ne13;
+
+ const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
+ const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
+ const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
+
+ const src0_t * src0_row = src0 + i_src0;
+ const src1_t * src1_row = src1 + i_src1;
+ dst_t * dst_row = dst + i_dst;
+
+ for (int i0 = i0s; i0 < ne0;
+ i0 += item_ct1.get_local_range(2) * item_ct1.get_group_range(2)) {
+ const int i10 = i0 % ne10;
+ dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
+ }
+}
+
+template<float (*bin_op)(const float, const float), typename src0_t, typename src1_t, typename dst_t>
+static void k_bin_bcast_unravel(const src0_t * src0, const src1_t * src1, dst_t * dst,
+ int ne0, int ne1, int ne2, int ne3,
+ int ne10, int ne11, int ne12, int ne13,
+ /*int s0, */ int s1, int s2, int s3,
+ /*int s00,*/ int s01, int s02, int s03,
+ /*int s10,*/ int s11, int s12, int s13,
+ 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);
+
+ const int i3 = i/(ne2*ne1*ne0);
+ const int i2 = (i/(ne1*ne0)) % ne2;
+ const int i1 = (i/ne0) % ne1;
+ const int i0 = i % ne0;
+
+ if (i0 >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) {
+ return;
+ }
+
+ const int i11 = i1 % ne11;
+ const int i12 = i2 % ne12;
+ const int i13 = i3 % ne13;
+
+ const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
+ const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
+ const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
+
+ const src0_t * src0_row = src0 + i_src0;
+ const src1_t * src1_row = src1 + i_src1;
+ dst_t * dst_row = dst + i_dst;
+
+ const int i10 = i0 % ne10;
+ dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
+}
+
+
+template<float (*bin_op)(const float, const float)>
+struct bin_bcast_sycl {
+ template <typename src0_t, typename src1_t, typename dst_t>
+ void operator()(const src0_t * src0_dd, const src1_t * src1_dd, dst_t * dst_dd, const int64_t ne00,
+ const int64_t ne01, const int64_t ne02, const int64_t ne03, const int64_t ne10, const int64_t ne11,
+ const int64_t ne12, const int64_t ne13, const int64_t ne0, const int64_t ne1, const int64_t ne2,
+ const int64_t ne3, const size_t nb00, const size_t nb01, const size_t nb02, const size_t nb03,
+ const size_t nb10, const size_t nb11, const size_t nb12, const size_t nb13, const size_t nb0,
+ const size_t nb1, const size_t nb2, const size_t nb3, const bool src0_is_contiguous,
+ const bool src1_is_contiguous, const bool dst_is_contiguous, queue_ptr stream) {
+ int nr0 = ne10 / ne0;
+ int nr1 = ne11/ne1;
+ int nr2 = ne12/ne2;
+ int nr3 = ne13/ne3;
+
+ int nr[4] = { nr0, nr1, nr2, nr3 };
+
+ // collapse dimensions until first broadcast dimension
+ int64_t cne[] = {ne0, ne1, ne2, ne3};
+ int64_t cne0[] = {ne00, ne01, ne02, ne03};
+ int64_t cne1[] = {ne10, ne11, ne12, ne13};
+ size_t cnb[] = {nb0, nb1, nb2, nb3};
+ size_t cnb0[] = {nb00, nb01, nb02, nb03};
+ size_t cnb1[] = {nb10, nb11, nb12, nb13};
+ auto collapse = [](int64_t cne[]) {
+ cne[0] *= cne[1];
+ cne[1] = cne[2];
+ cne[2] = cne[3];
+ cne[3] = 1;
+ };
+
+ auto collapse_nb = [](size_t cnb[], int64_t cne[]) {
+ cnb[1] *= cne[1];
+ cnb[2] *= cne[2];
+ cnb[3] *= cne[3];
+ };
+
+ if (src0_is_contiguous && src1_is_contiguous && dst_is_contiguous) {
+ for (int i = 0; i < 4; i++) {
+ if (nr[i] != 1) {
+ break;
+ }
+ if (i > 0) {
+ collapse_nb(cnb, cne);
+ collapse_nb(cnb0, cne0);
+ collapse_nb(cnb1, cne1);
+ collapse(cne);
+ collapse(cne0);
+ collapse(cne1);
+ }
+ }
+ }
+ {
+ int64_t ne0 = cne[0];
+ int64_t ne1 = cne[1];
+ int64_t ne2 = cne[2];
+ int64_t ne3 = cne[3];
+
+ int64_t ne10 = cne1[0];
+ int64_t ne11 = cne1[1];
+ int64_t ne12 = cne1[2];
+ int64_t ne13 = cne1[3];
+
+ size_t nb0 = cnb[0];
+ size_t nb1 = cnb[1];
+ size_t nb2 = cnb[2];
+ size_t nb3 = cnb[3];
+
+ size_t nb00 = cnb0[0];
+ size_t nb01 = cnb0[1];
+ size_t nb02 = cnb0[2];
+ size_t nb03 = cnb0[3];
+
+ size_t nb10 = cnb1[0];
+ size_t nb11 = cnb1[1];
+ size_t nb12 = cnb1[2];
+ size_t nb13 = cnb1[3];
+
+ size_t s0 = nb0 / sizeof(dst_t);
+ size_t s1 = nb1 / sizeof(dst_t);
+ size_t s2 = nb2 / sizeof(dst_t);
+ size_t s3 = nb3 / sizeof(dst_t);
+
+ size_t s10 = nb10 / sizeof(src1_t);
+ size_t s11 = nb11 / sizeof(src1_t);
+ size_t s12 = nb12 / sizeof(src1_t);
+ size_t s13 = nb13 / sizeof(src1_t);
+
+ size_t s00 = nb00 / sizeof(src0_t);
+ size_t s01 = nb01 / sizeof(src0_t);
+ size_t s02 = nb02 / sizeof(src0_t);
+ size_t s03 = nb03 / sizeof(src0_t);
+
+ GGML_UNUSED(s00);
+
+ GGML_ASSERT(nb0 % sizeof(dst_t) == 0);
+ GGML_ASSERT(nb1 % sizeof(dst_t) == 0);
+ GGML_ASSERT(nb2 % sizeof(dst_t) == 0);
+ GGML_ASSERT(nb3 % sizeof(dst_t) == 0);
+
+ GGML_ASSERT(nb00 % sizeof(src0_t) == 0);
+ GGML_ASSERT(nb01 % sizeof(src0_t) == 0);
+ GGML_ASSERT(nb02 % sizeof(src0_t) == 0);
+ GGML_ASSERT(nb03 % sizeof(src0_t) == 0);
+
+ GGML_ASSERT(nb10 % sizeof(src1_t) == 0);
+ GGML_ASSERT(nb11 % sizeof(src1_t) == 0);
+ GGML_ASSERT(nb12 % sizeof(src1_t) == 0);
+ GGML_ASSERT(nb13 % sizeof(src1_t) == 0);
+
+ GGML_ASSERT(s0 == 1);
+ GGML_ASSERT(s10 == 1);
+
+ const int block_size = 128;
+
+ int64_t hne0 = std::max(ne0/2LL, 1LL);
+
+ sycl::range<3> block_dims(1, 1, 1);
+ block_dims[2] = std::min<unsigned int>(hne0, block_size);
+ block_dims[1] = std::min<unsigned int>(
+ ne1, block_size / (unsigned int)block_dims[2]);
+ block_dims[0] = std::min(
+ std::min<unsigned int>(
+ ne2 * ne3, block_size / (unsigned int)block_dims[2] /
+ (unsigned int)block_dims[1]),
+ 64U);
+
+ sycl::range<3> block_nums(
+ (ne2 * ne3 + block_dims[0] - 1) / block_dims[0],
+ (ne1 + block_dims[1] - 1) / block_dims[1],
+ (hne0 + block_dims[2] - 1) / block_dims[2]);
+
+ if (block_nums[0] > 65535) {
+ // this is the maximum number of blocks in z direction, fallback to 1D grid kernel
+ int block_num = (ne0*ne1*ne2*ne3 + block_size - 1) / block_size;
+ {
+ dpct::has_capability_or_fail(stream->get_device(),
+ {sycl::aspect::fp16});
+
+ stream->parallel_for(
+ sycl::nd_range<3>(sycl::range<3>(1, 1, block_num) *
+ sycl::range<3>(1, 1, block_size),
+ sycl::range<3>(1, 1, block_size)),
+ [=](sycl::nd_item<3> item_ct1) {
+ k_bin_bcast_unravel<bin_op>(
+ src0_dd, src1_dd, dst_dd, ne0, ne1, ne2, ne3,
+ ne10, ne11, ne12, ne13, s1, s2, s3, s01, s02,
+ s03, s11, s12, s13, item_ct1);
+ });
+ }
+ } else {
+ /*
+ DPCT1049:16: The work-group size passed to the SYCL kernel may
+ exceed the limit. To get the device limit, query
+ info::device::max_work_group_size. Adjust the work-group size if
+ needed.
+ */
+ dpct::has_capability_or_fail(stream->get_device(),
+ {sycl::aspect::fp16});
+
+ stream->parallel_for(
+ sycl::nd_range<3>(block_nums * block_dims, block_dims),
+ [=](sycl::nd_item<3> item_ct1) {
+ k_bin_bcast<bin_op>(src0_dd, src1_dd, dst_dd, ne0, ne1,
+ ne2, ne3, ne10, ne11, ne12, ne13,
+ s1, s2, s3, s01, s02, s03, s11, s12, s13,
+ item_ct1);
+ });
+ }
+ }
+ }
+};
+
+template <class op>
+inline void ggml_sycl_op_bin_bcast(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1,
+ ggml_tensor * dst) {
+ dpct::queue_ptr main_stream = ctx.stream();
+ GGML_TENSOR_BINARY_OP_LOCALS
+
+ if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
+ op()((const float *) src0->data, (const float *) src1->data, (float *) dst->data, ne00, ne01, ne02, ne03, ne10,
+ ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2, nb3,
+ ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
+ op()((const sycl::half *) src0->data, (const sycl::half *) src1->data, (sycl::half *) dst->data, ne00, ne01,
+ ne02, ne03, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13,
+ nb0, nb1, nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst),
+ main_stream);
+ } else if (src0->type == GGML_TYPE_F16 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F16) {
+ op()((const sycl::half *) src0->data, (const float *) src1->data, (sycl::half *) dst->data, ne00, ne01, ne02,
+ ne03, ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1,
+ nb2, nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+ } else if (src0->type == GGML_TYPE_I32 && src1->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) {
+ op()((const int32_t *) src0->data, (const int32_t *) src1->data, (int32_t *) dst->data, ne00, ne01, ne02, ne03,
+ ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2,
+ nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+ } else if (src0->type == GGML_TYPE_I16 && src1->type == GGML_TYPE_I16 && dst->type == GGML_TYPE_I16) {
+ op()((const int16_t *) src0->data, (const int16_t *) src1->data, (int16_t *) dst->data, ne00, ne01, ne02, ne03,
+ ne10, ne11, ne12, ne13, ne0, ne1, ne2, ne3, nb00, nb01, nb02, nb03, nb10, nb11, nb12, nb13, nb0, nb1, nb2,
+ nb3, ggml_is_contiguous(src0), ggml_is_contiguous(src1), ggml_is_contiguous(dst), main_stream);
+ } else {
+ fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__, ggml_type_name(dst->type),
+ ggml_type_name(src0->type), ggml_type_name(src1->type));
+ GGML_ABORT("fatal error");
+ }
+}
+
+inline void ggml_sycl_op_add(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+
+ ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_add>>(ctx, dst->src[0], dst->src[1], dst);
+}
+
+inline void ggml_sycl_op_sub(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+
+ ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_sub>>(ctx, dst->src[0], dst->src[1], dst);
+}
+
+inline void ggml_sycl_op_mul(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+
+ ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_mul>>(ctx, dst->src[0], dst->src[1], dst);
+}
+
+inline void ggml_sycl_op_div(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+
+ ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_div>>(ctx, dst->src[0], dst->src[1], dst);
+}
+
+inline void ggml_sycl_op_repeat(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
+ ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_repeat>>(ctx, dst, dst->src[0], dst);
+}
+
+
+void ggml_sycl_add(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+ GGML_SYCL_DEBUG("call %s\n", __func__);
+ ggml_sycl_op_add(ctx, dst);
+ GGML_SYCL_DEBUG("call %s done\n", __func__);
+}
+
+void ggml_sycl_sub(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+ GGML_SYCL_DEBUG("call %s\n", __func__);
+ ggml_sycl_op_sub(ctx, dst);
+ GGML_SYCL_DEBUG("call %s done\n", __func__);
+}
+
+void ggml_sycl_mul(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+ GGML_SYCL_DEBUG("call %s\n", __func__);
+ ggml_sycl_op_mul(ctx, dst);
+ GGML_SYCL_DEBUG("call %s done\n", __func__);
+}
+
+void ggml_sycl_div(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+ GGML_SYCL_DEBUG("call %s\n", __func__);
+ ggml_sycl_op_div(ctx, dst);
+ GGML_SYCL_DEBUG("call %s done\n", __func__);
+}
+
+void ggml_sycl_repeat(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
+ GGML_SYCL_DEBUG("call %s\n", __func__);
+ ggml_sycl_op_repeat(ctx, dst);
+ GGML_SYCL_DEBUG("call %s done\n", __func__);
+}
+
int64_t downsample_sycl_global_range(int64_t accumulate_block_num, int64_t block_size);
-template<float (*bin_op)(const float, const float), typename src0_t, typename src1_t, typename dst_t>
-static void k_bin_bcast(const src0_t * src0, const src1_t * src1, dst_t * dst,
- int ne0, int ne1, int ne2, int ne3,
- int ne10, int ne11, int ne12, int ne13,
- /*int s0, */ int s1, int s2, int s3,
- /*int s00,*/ int s01, int s02, int s03,
- /*int s10,*/ int s11, int s12, int s13,
- const sycl::nd_item<3> &item_ct1) {
- const int i0s = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
- item_ct1.get_local_id(2);
- const int i1 = (item_ct1.get_local_range(1) * item_ct1.get_group(1) +
- item_ct1.get_local_id(1));
- const int i2 = (item_ct1.get_local_range(0) * item_ct1.get_group(0) +
- item_ct1.get_local_id(0)) /
- ne3;
- const int i3 = (item_ct1.get_local_range(0) * item_ct1.get_group(0) +
- item_ct1.get_local_id(0)) %
- ne3;
-
- if (i0s >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) {
- return;
- }
-
- const int i11 = i1 % ne11;
- const int i12 = i2 % ne12;
- const int i13 = i3 % ne13;
-
- const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
- const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
- const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
-
- const src0_t * src0_row = src0 + i_src0;
- const src1_t * src1_row = src1 + i_src1;
- dst_t * dst_row = dst + i_dst;
-
- for (int i0 = i0s; i0 < ne0;
- i0 += item_ct1.get_local_range(2) * item_ct1.get_group_range(2)) {
- const int i10 = i0 % ne10;
- dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
- }
-}
-
-template<float (*bin_op)(const float, const float), typename src0_t, typename src1_t, typename dst_t>
-static void k_bin_bcast_unravel(const src0_t * src0, const src1_t * src1, dst_t * dst,
- int ne0, int ne1, int ne2, int ne3,
- int ne10, int ne11, int ne12, int ne13,
- /*int s0, */ int s1, int s2, int s3,
- /*int s00,*/ int s01, int s02, int s03,
- /*int s10,*/ int s11, int s12, int s13,
- 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);
-
- const int i3 = i/(ne2*ne1*ne0);
- const int i2 = (i/(ne1*ne0)) % ne2;
- const int i1 = (i/ne0) % ne1;
- const int i0 = i % ne0;
-
- if (i0 >= ne0 || i1 >= ne1 || i2 >= ne2 || i3 >= ne3) {
- return;
- }
-
- const int i11 = i1 % ne11;
- const int i12 = i2 % ne12;
- const int i13 = i3 % ne13;
-
- const size_t i_src0 = i3*s03 + i2*s02 + i1*s01;
- const size_t i_src1 = i13*s13 + i12*s12 + i11*s11;
- const size_t i_dst = i3*s3 + i2*s2 + i1*s1;
-
- const src0_t * src0_row = src0 + i_src0;
- const src1_t * src1_row = src1 + i_src1;
- dst_t * dst_row = dst + i_dst;
-
- const int i10 = i0 % ne10;
- dst_row[i0] = (dst_t)bin_op(src0 ? (float)src0_row[i0] : 0.0f, (float)src1_row[i10]);
-}
-
-
-template<float (*bin_op)(const float, const float)>
-struct bin_bcast_sycl {
- template <typename src0_t, typename src1_t, typename dst_t>
- void operator()(ggml_backend_sycl_context & ctx,
- const struct ggml_tensor *src0,
- const struct ggml_tensor *src1, struct ggml_tensor *dst,
- const src0_t *src0_dd, const src1_t *src1_dd, dst_t *dst_dd,
- queue_ptr stream) {
-
- GGML_TENSOR_BINARY_OP_LOCALS
-
- int nr0 = ne10/ne0;
- int nr1 = ne11/ne1;
- int nr2 = ne12/ne2;
- int nr3 = ne13/ne3;
-
- int nr[4] = { nr0, nr1, nr2, nr3 };
-
- // collapse dimensions until first broadcast dimension
- int64_t cne[] = {ne0, ne1, ne2, ne3};
- int64_t cne0[] = {ne00, ne01, ne02, ne03};
- int64_t cne1[] = {ne10, ne11, ne12, ne13};
- size_t cnb[] = {nb0, nb1, nb2, nb3};
- size_t cnb0[] = {nb00, nb01, nb02, nb03};
- size_t cnb1[] = {nb10, nb11, nb12, nb13};
- auto collapse = [](int64_t cne[]) {
- cne[0] *= cne[1];
- cne[1] = cne[2];
- cne[2] = cne[3];
- cne[3] = 1;
- };
-
- auto collapse_nb = [](size_t cnb[], int64_t cne[]) {
- cnb[1] *= cne[1];
- cnb[2] *= cne[2];
- cnb[3] *= cne[3];
- };
-
- if (ggml_is_contiguous(src0) && ggml_is_contiguous(src1) && ggml_is_contiguous(dst)) {
- for (int i = 0; i < 4; i++) {
- if (nr[i] != 1) {
- break;
- }
- if (i > 0) {
- collapse_nb(cnb, cne);
- collapse_nb(cnb0, cne0);
- collapse_nb(cnb1, cne1);
- collapse(cne);
- collapse(cne0);
- collapse(cne1);
- }
- }
- }
- {
- int64_t ne0 = cne[0];
- int64_t ne1 = cne[1];
- int64_t ne2 = cne[2];
- int64_t ne3 = cne[3];
-
- int64_t ne10 = cne1[0];
- int64_t ne11 = cne1[1];
- int64_t ne12 = cne1[2];
- int64_t ne13 = cne1[3];
-
- size_t nb0 = cnb[0];
- size_t nb1 = cnb[1];
- size_t nb2 = cnb[2];
- size_t nb3 = cnb[3];
-
- size_t nb00 = cnb0[0];
- size_t nb01 = cnb0[1];
- size_t nb02 = cnb0[2];
- size_t nb03 = cnb0[3];
-
- size_t nb10 = cnb1[0];
- size_t nb11 = cnb1[1];
- size_t nb12 = cnb1[2];
- size_t nb13 = cnb1[3];
-
- size_t s0 = nb0 / sizeof(dst_t);
- size_t s1 = nb1 / sizeof(dst_t);
- size_t s2 = nb2 / sizeof(dst_t);
- size_t s3 = nb3 / sizeof(dst_t);
-
- size_t s10 = nb10 / sizeof(src1_t);
- size_t s11 = nb11 / sizeof(src1_t);
- size_t s12 = nb12 / sizeof(src1_t);
- size_t s13 = nb13 / sizeof(src1_t);
-
- size_t s00 = nb00 / sizeof(src0_t);
- size_t s01 = nb01 / sizeof(src0_t);
- size_t s02 = nb02 / sizeof(src0_t);
- size_t s03 = nb03 / sizeof(src0_t);
-
- GGML_UNUSED(s00);
-
- GGML_ASSERT(nb0 % sizeof(dst_t) == 0);
- GGML_ASSERT(nb1 % sizeof(dst_t) == 0);
- GGML_ASSERT(nb2 % sizeof(dst_t) == 0);
- GGML_ASSERT(nb3 % sizeof(dst_t) == 0);
-
- GGML_ASSERT(nb00 % sizeof(src0_t) == 0);
- GGML_ASSERT(nb01 % sizeof(src0_t) == 0);
- GGML_ASSERT(nb02 % sizeof(src0_t) == 0);
- GGML_ASSERT(nb03 % sizeof(src0_t) == 0);
-
- GGML_ASSERT(nb10 % sizeof(src1_t) == 0);
- GGML_ASSERT(nb11 % sizeof(src1_t) == 0);
- GGML_ASSERT(nb12 % sizeof(src1_t) == 0);
- GGML_ASSERT(nb13 % sizeof(src1_t) == 0);
-
- GGML_ASSERT(s0 == 1);
- GGML_ASSERT(s10 == 1);
-
- const int block_size = 128;
-
- int64_t hne0 = std::max(ne0/2LL, 1LL);
-
- sycl::range<3> block_dims(1, 1, 1);
- block_dims[2] = std::min<unsigned int>(hne0, block_size);
- block_dims[1] = std::min<unsigned int>(
- ne1, block_size / (unsigned int)block_dims[2]);
- block_dims[0] = std::min(
- std::min<unsigned int>(
- ne2 * ne3, block_size / (unsigned int)block_dims[2] /
- (unsigned int)block_dims[1]),
- 64U);
-
- sycl::range<3> block_nums(
- (ne2 * ne3 + block_dims[0] - 1) / block_dims[0],
- (ne1 + block_dims[1] - 1) / block_dims[1],
- (hne0 + block_dims[2] - 1) / block_dims[2]);
-
- if (block_nums[0] > 65535) {
- // this is the maximum number of blocks in z direction, fallback to 1D grid kernel
- int block_num = (ne0*ne1*ne2*ne3 + block_size - 1) / block_size;
- {
- dpct::has_capability_or_fail(stream->get_device(),
- {sycl::aspect::fp16});
-
- stream->parallel_for(
- sycl::nd_range<3>(sycl::range<3>(1, 1, block_num) *
- sycl::range<3>(1, 1, block_size),
- sycl::range<3>(1, 1, block_size)),
- [=](sycl::nd_item<3> item_ct1) {
- k_bin_bcast_unravel<bin_op>(
- src0_dd, src1_dd, dst_dd, ne0, ne1, ne2, ne3,
- ne10, ne11, ne12, ne13, s1, s2, s3, s01, s02,
- s03, s11, s12, s13, item_ct1);
- });
- }
- } else {
- /*
- DPCT1049:16: The work-group size passed to the SYCL kernel may
- exceed the limit. To get the device limit, query
- info::device::max_work_group_size. Adjust the work-group size if
- needed.
- */
- dpct::has_capability_or_fail(stream->get_device(),
- {sycl::aspect::fp16});
-
- stream->parallel_for(
- sycl::nd_range<3>(block_nums * block_dims, block_dims),
- [=](sycl::nd_item<3> item_ct1) {
- k_bin_bcast<bin_op>(src0_dd, src1_dd, dst_dd, ne0, ne1,
- ne2, ne3, ne10, ne11, ne12, ne13,
- s1, s2, s3, s01, s02, s03, s11, s12, s13,
- item_ct1);
- });
- }
- }
- GGML_UNUSED(ctx);
- }
-};
-
-template <class op>
-inline void ggml_sycl_op_bin_bcast(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
- const ggml_tensor *src1, ggml_tensor *dst) {
- dpct::queue_ptr main_stream = ctx.stream();
-
- if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
- op()(ctx, src0, src1, dst, (const float *)src0->data, (const float *)src1->data, (float *)dst->data, main_stream);
- } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
- op()(ctx, src0, src1, dst, (const sycl::half *)src0->data, (const float *)src1->data,
- (sycl::half *)dst->data, main_stream);
- } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) {
- op()(ctx, src0, src1, dst, (const sycl::half *)src0->data, (const float *)src1->data, (float *)dst->data,
- main_stream);
- } else if (src0->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) {
- op()(ctx, src0, src1, dst, (const int32_t *)src0->data, (const int32_t *)src1->data, (int32_t *)dst->data,
- main_stream);
- } else if (src0->type == GGML_TYPE_I16 && dst->type == GGML_TYPE_I16) {
- op()(ctx, src0, src1, dst, (const int16_t *)src0->data, (const int16_t *)src1->data, (int16_t *)dst->data,
- main_stream);
- } else {
- fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__,
- ggml_type_name(dst->type), ggml_type_name(src0->type), ggml_type_name(src1->type));
- GGML_ABORT("fatal error");
- }
-}
-
bool gpu_has_xmx(sycl::device &dev);
#endif // GGML_SYCL_COMMON_HPP
overview / pkg / ggml / sources / llama.cpp / commitdiff