include llama.cpp since there were some edits

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

@@ -0,0 +1,52 @@
+#include "../node_context.h"
+#include "../op_table.h"
+#include "../utils.h"
+
+#include <openvino/op/transpose.hpp>
+
+namespace ov {
+namespace frontend {
+namespace ggml {
+namespace op {
+
+OutputVector translate_transpose(const NodeContext & context) {
+    num_inputs_check(context, 1, 1);
+
+    // Compute permute order from input/output shape and stride information
+    // so it adapts to different input and output layouts.
+    auto input_stride = context.get_input_stride(0);
+    auto output_stride = context.get_output_stride();
+
+    // Compute permute order by matching output and input stride rankings.
+    // Build <stride, dim_index> pairs.
+    std::vector<std::pair<size_t, int>> output_stride_dims;
+    std::vector<std::pair<size_t, int>> input_stride_dims;
+
+    for (int i = 0; i < 4; ++i) {
+        output_stride_dims.push_back({output_stride[i], i});
+        input_stride_dims.push_back({input_stride[i], i});
+    }
+
+    // Sort by stride in descending order.
+    std::sort(output_stride_dims.rbegin(), output_stride_dims.rend());
+    std::sort(input_stride_dims.rbegin(), input_stride_dims.rend());
+
+    // Build permute order.
+    std::vector<int64_t> permute_order(4);
+    for (int i = 0; i < 4; ++i) {
+        int output_dim = output_stride_dims[i].second;
+        int input_dim = input_stride_dims[i].second;
+        permute_order[output_dim] = input_dim;
+    }
+
+    auto input = process_view_input_new(context, 0);
+
+    auto res = std::make_shared<ov::op::v1::Transpose>(
+        input, ov::op::v0::Constant::create(ov::element::i64, {4}, permute_order));
+    return rename_outputs_with_suffix({res}, context.get_name());
+}
+
+}  // namespace op
+}  // namespace ggml
+}  // namespace frontend
+}  // namespace ov