include llama.cpp since there were some edits

llama.cpp/ggml/src/ggml-openvino/openvino/op/set.cpp

@@ -0,0 +1,76 @@
+#include "../node_context.h"
+#include "../op_table.h"
+#include "../utils.h"
+
+#include <cstdint>
+#include <openvino/frontend/exception.hpp>
+#include <openvino/op/add.hpp>
+#include <openvino/op/constant.hpp>
+#include <openvino/op/convert.hpp>
+#include <openvino/op/range.hpp>
+#include <openvino/op/reduce_prod.hpp>
+#include <openvino/op/reshape.hpp>
+#include <openvino/op/scatter_update.hpp>
+#include <openvino/op/shape_of.hpp>
+
+namespace ov {
+namespace frontend {
+namespace ggml {
+namespace op {
+
+// GGML SET writes src1 into a view of src0 and returns the updated tensor.
+OutputVector translate_set(const NodeContext & context) {
+    num_inputs_check(context, 2, 2);
+
+    auto dst = process_view_input_new(context, 0);
+    auto src = process_view_input_new(context, 1);
+
+    src = std::make_shared<ov::op::v0::Convert>(src, context.get_output_type());
+
+    const auto dst_stride = context.get_input_stride(0);
+    FRONT_END_OP_CONVERSION_CHECK(dst_stride.size() >= 4, "SET requires 4D destination strides");
+
+    const auto * op_params = reinterpret_cast<const uint32_t *>(context.get_output_op_params());
+    const size_t offset = static_cast<size_t>(op_params[3]);
+
+    const size_t elem_size = dst_stride.back();
+    FRONT_END_OP_CONVERSION_CHECK(elem_size != 0 && offset % elem_size == 0,
+                                  "SET offset must be aligned to destination element size");
+
+    const int64_t offset_elems = static_cast<int64_t>(offset / elem_size);
+
+    auto dst_flat = std::make_shared<ov::op::v1::Reshape>(
+        dst,
+        ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}),
+        false);
+
+    auto src_flat = std::make_shared<ov::op::v1::Reshape>(
+        src,
+        ov::op::v0::Constant::create(ov::element::i64, {1}, {-1}),
+        false);
+
+    auto src_shape = std::make_shared<ov::op::v3::ShapeOf>(src_flat, ov::element::i64);
+    auto src_len = std::make_shared<ov::op::v1::ReduceProd>(
+        src_shape,
+        ov::op::v0::Constant::create(ov::element::i64, {1}, {0}),
+        false);
+
+    auto start = ov::op::v0::Constant::create(ov::element::i64, {}, {offset_elems});
+    auto stop = std::make_shared<ov::op::v1::Add>(start, src_len);
+    auto step = ov::op::v0::Constant::create(ov::element::i64, {}, {1});
+
+    auto indices = std::make_shared<ov::op::v4::Range>(start, stop, step, ov::element::i64);
+    auto axis = ov::op::v0::Constant::create(ov::element::i64, {}, {0});
+
+    auto updated_flat = std::make_shared<ov::op::v3::ScatterUpdate>(dst_flat, indices, src_flat, axis);
+
+    auto dst_shape = std::make_shared<ov::op::v3::ShapeOf>(dst, ov::element::i64);
+    auto res = std::make_shared<ov::op::v1::Reshape>(updated_flat, dst_shape, false);
+
+    return rename_outputs_with_suffix({res}, context.get_name());
+}
+
+}  // namespace op
+}  // namespace ggml
+}  // namespace frontend
+}  // namespace ov