Update DIV for OpenVINO backend

ggml/src/ggml-openvino/openvino/op/div.cpp

@@ -2,11 +2,16 @@
 #include "../op_table.h"
 #include "../utils.h"
 
+#include "ggml.h"
+
 #include <memory>
+#include <openvino/op/util/precision_sensitive_attribute.hpp>
 #include <openvino/op/constant.hpp>
 #include <openvino/op/convert.hpp>
 #include <openvino/op/divide.hpp>
+#include <openvino/op/multiply.hpp>
 #include <openvino/op/shape_of.hpp>
+#include <openvino/op/sigmoid.hpp>
 #include <openvino/op/tile.hpp>
 #include <vector>
 
@@ -17,6 +22,36 @@ namespace op {
 
 namespace {
 
+bool is_silu_div_pattern(const ov::Output<ov::Node> & numerator,
+                         const ov::Output<ov::Node> & denominator,
+                         const NodeContext & context) {
+    if (context.get_input_size() != 2) {
+        return false;
+    }
+
+    const auto * unary_op = reinterpret_cast<const ggml_unary_op *>(context.get_input_op_params(0));
+    if (unary_op == nullptr || *unary_op != GGML_UNARY_OP_SILU) {
+        return false;
+    }
+
+    auto mul = std::dynamic_pointer_cast<ov::op::v1::Multiply>(numerator.get_node_shared_ptr());
+    if (!mul) {
+        return false;
+    }
+
+    const auto denom_node = denominator.get_node_shared_ptr();
+    const auto mul_input_0 = mul->input_value(0).get_node_shared_ptr();
+    const auto mul_input_1 = mul->input_value(1).get_node_shared_ptr();
+
+    auto sigmoid = std::dynamic_pointer_cast<ov::op::v0::Sigmoid>(mul_input_1);
+    if (mul_input_0 == denom_node && sigmoid && sigmoid->input_value(0).get_node_shared_ptr() == denom_node) {
+        return true;
+    }
+
+    sigmoid = std::dynamic_pointer_cast<ov::op::v0::Sigmoid>(mul_input_0);
+    return mul_input_1 == denom_node && sigmoid && sigmoid->input_value(0).get_node_shared_ptr() == denom_node;
+}
+
 ov::Output<ov::Node> repeat_input_to_match(const NodeContext & context,
                                            const ov::Output<ov::Node> & input,
                                            const ov::Output<ov::Node> & target,
@@ -68,6 +103,15 @@ OutputVector translate_div(const NodeContext & context) {
 
     auto input_0 = process_view_input_new(context, 0);
     auto input_1 = process_view_input_new(context, 1);
+
+    if (is_silu_div_pattern(input_0, input_1, context)) {
+        ov::Output<ov::Node> res = std::make_shared<ov::op::v0::Sigmoid>(input_1);
+        if (res.get_element_type() != context.get_output_type()) {
+            res = std::make_shared<ov::op::v0::Convert>(res, context.get_output_type());
+        }
+        return rename_outputs_with_suffix({res}, context.get_name());
+    }
+
     input_1 = repeat_input_to_match(context, input_1, input_0, 1);
 
     const auto output_type = context.get_output_type();
@@ -81,8 +125,19 @@ OutputVector translate_div(const NodeContext & context) {
     }
 
     ov::Output<ov::Node> res = std::make_shared<ov::op::v1::Divide>(input_0, input_1);
+    if (use_f32_compute) {
+        // Keep the reciprocal/divide path in FP32. Without this hint, the GPU
+        // plugin can still compress the subgraph back to FP16 and overflow on
+        // small shexp gate values (e.g. silu(x) / x in qwen2moe).
+        ov::mark_as_precision_sensitive(res.get_node_shared_ptr()->input(0));
+        ov::mark_as_precision_sensitive(res.get_node_shared_ptr()->input(1));
+    }
     if (res.get_element_type() != output_type) {
-        res = std::make_shared<ov::op::v0::Convert>(res, output_type);
+        auto output_convert = std::make_shared<ov::op::v0::Convert>(res, output_type);
+        if (use_f32_compute) {
+            ov::mark_as_precision_sensitive(output_convert->input(0));
+        }
+        res = output_convert;
     }
     return rename_outputs_with_suffix({res}, context.get_name());
 }