#include "ggml-sycl/presets.hpp"
#include "ggml-sycl/gemm.hpp"
#include "ggml-sycl/set_rows.hpp"
+#include "ggml-sycl/set.hpp"
#include "ggml-sycl/sycl_hw.hpp"
#include "ggml-sycl/getrows.hpp"
#include "ggml-sycl/quantize.hpp"
case GGML_OP_GET_ROWS:
ggml_sycl_get_rows(ctx, dst);
break;
+ case GGML_OP_SET:
+ ggml_sycl_op_set(ctx, dst);
+ break;
case GGML_OP_SET_ROWS:
ggml_sycl_op_set_rows(ctx, dst);
break;
return false;
}
}
+ case GGML_OP_SET:
+ return (op->type == GGML_TYPE_F32) &&
+ (op->src[0] && op->src[1]) &&
+ (op->src[0]->type == GGML_TYPE_F32) &&
+ (op->src[1]->type == GGML_TYPE_F32);
+
case GGML_OP_SET_ROWS:
{
return ((op->type == GGML_TYPE_F32 || op->type == GGML_TYPE_F16 || op->type == GGML_TYPE_BF16 ||
--- /dev/null
+#include "presets.hpp"
+#include "common.hpp"
+#include "ggml.h"
+#include "set.hpp"
+#include <cstdint>
+#include <sycl/sycl.hpp>
+using namespace sycl;
+
+// Internal function: perform element-wise set operation for each thread
+inline void set_f32(const float* src, float* dst,
+ const int64_t ne0, const int64_t ne1,
+ const int64_t ne2, const int64_t ne3,
+ const int64_t nb[3], const int64_t src_nb[3],
+ const int64_t offset_elem,
+ const nd_item<1>& item)
+{
+ const size_t idx = item.get_global_id(0);
+ const size_t total = ne0 * ne1 * ne2 * ne3;
+ if (idx >= total) return;
+
+ // Convert linear index to 4D indices
+ const size_t i3 = idx / (ne2 * ne1 * ne0);
+ const size_t rem = idx % (ne2 * ne1 * ne0);
+ const size_t i2 = rem / (ne1 * ne0);
+ const size_t rem2 = rem % (ne1 * ne0);
+ const size_t i1 = rem2 / ne0;
+ const size_t i0 = rem2 % ne0;
+
+ // Compute source and destination indices and copy
+ dst[i0 + i1*nb[0] + i2*nb[1] + i3*nb[2] + offset_elem] =
+ src[i0 + i1*src_nb[0] + i2*src_nb[1] + i3*src_nb[2]];
+}
+
+// Main function: prepare GPU queue and launch parallel_for
+void ggml_sycl_op_set(ggml_backend_sycl_context& ctx, ggml_tensor* dst) {
+ const ggml_tensor* src0 = dst->src[0];
+ const ggml_tensor* src1 = dst->src[1];
+
+ // Ensure shapes and types are compatible
+ GGML_ASSERT(ggml_are_same_shape(src0, dst));
+ GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0));
+ GGML_ASSERT(dst->type == src0->type && src0->type == src1->type && dst->type == GGML_TYPE_F32);
+
+ const int32_t* opts = (const int32_t*) dst->op_params;
+ const int64_t nb[3] = {opts[0]/sizeof(float), opts[1]/sizeof(float), opts[2]/sizeof(float)};
+ const int64_t offset_elem = opts[3] / sizeof(float);
+ const bool inplace = opts[4];
+
+ float* dst_ptr = (float*) dst->data;
+ const float* src0_ptr = (const float*) src0->data;
+ const float* src1_ptr = (const float*) src1->data;
+
+ queue_ptr stream = ctx.stream();
+
+ // Copy src0 to dst if not inplace
+ if (!inplace)
+ stream->memcpy(dst_ptr, src0_ptr, ggml_nbytes(dst));
+
+ const int64_t ne[4] = {src1->ne[0], src1->ne[1], src1->ne[2], src1->ne[3]};
+ const int64_t src_nb[3] = {src1->nb[1]/sizeof(float), src1->nb[2]/sizeof(float), src1->nb[3]/sizeof(float)};
+
+ const size_t total_threads = ne[0]*ne[1]*ne[2]*ne[3];
+ const size_t grid_size = ((total_threads + SYCL_SET_BLOCK_SIZE - 1) / SYCL_SET_BLOCK_SIZE) * SYCL_SET_BLOCK_SIZE;
+
+ // Copy src0 to dst if not inplace
+ stream->parallel_for(
+ nd_range<1>(range<1>(grid_size), range<1>(SYCL_SET_BLOCK_SIZE)),
+ [=](nd_item<1> item) {
+ set_f32(src1_ptr, dst_ptr,
+ ne[0], ne[1], ne[2], ne[3],
+ nb, src_nb, offset_elem, item); }
+ );
+}