Hardcoded zero point

src/common/transformations/include/transformations/common_optimizations/fuse_u4_weights_zero_point.hpp

@@ -0,0 +1,29 @@
+// Copyright (C) 2018-2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include "openvino/pass/graph_rewrite.hpp"
+#include "transformations_visibility.hpp"
+
+namespace ov {
+namespace pass {
+
+class TRANSFORMATIONS_API FuseU4WeightsAndZeroPoint;
+
+}  // namespace pass
+}  // namespace ov
+
+/**
+ * @ingroup ie_transformation_common_api
+ * @brief Applies zero point to U4 weights and fuses the result to the I4 constant if the result values are inside I4 range.
+ * If some values are out of I4 range, converts zero point constant to scalar.
+ * Limitations: works only in case when zero point is equal to 8
+ */
+
+class ov::pass::FuseU4WeightsAndZeroPoint : public ov::pass::MatcherPass {
+public:
+    OPENVINO_RTTI("FuseU4WeightsAndZeroPoint", "0");
+    FuseU4WeightsAndZeroPoint();
+};

src/common/transformations/src/transformations/common_optimizations/fuse_u4_weights_zero_point.cpp

@@ -0,0 +1,60 @@
+// Copyright (C) 2018-2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "transformations/common_optimizations/fuse_u4_weights_zero_point.hpp"
+
+#include "itt.hpp"
+#include "openvino/core/rt_info.hpp"
+#include "openvino/op/constant.hpp"
+#include "openvino/op/subtract.hpp"
+#include "openvino/pass/pattern/op/wrap_type.hpp"
+#include "openvino/reference/autobroadcast_binop.hpp"
+#include "transformations/utils/utils.hpp"
+
+ov::pass::FuseU4WeightsAndZeroPoint::FuseU4WeightsAndZeroPoint() {
+    MATCHER_SCOPE(FuseU4WeightsAndZeroPoint);
+    auto weights_m = pattern::wrap_type<ov::op::v0::Constant>(pattern::type_matches(ov::element::u4));
+    auto convert_m = pattern::wrap_type<ov::op::v0::Convert>({weights_m});
+    auto zero_point_m = pattern::wrap_type<ov::op::v0::Constant>();
+    auto subtract_m = pattern::wrap_type<ov::op::v1::Subtract>({convert_m, zero_point_m});
+
+    ov::matcher_pass_callback callback = [=](ov::pass::pattern::Matcher& m) {
+        auto& pattern_map = m.get_pattern_value_map();
+        const auto& subtract = pattern_map.at(subtract_m);
+        const int8_t zero_point_value = 8;
+        const auto zero_point = ov::as_type_ptr<ov::op::v0::Constant>(pattern_map.at(zero_point_m).get_node_shared_ptr());
+        if (!zero_point || !ov::op::util::constantIsEqualTo(zero_point, zero_point_value))
+            return false;
+
+        bool can_be_fused = true;
+        auto apply_zero_point = [&can_be_fused](int8_t weights_val, int8_t zp_val) mutable {
+            auto result_value = weights_val - zp_val;
+            can_be_fused &= -8 <= result_value && result_value <= 7;
+            return static_cast<int8_t>(result_value);
+        };
+        const auto weights = ov::as_type_ptr<ov::op::v0::Constant>(pattern_map.at(weights_m).get_node_shared_ptr());
+        auto weights_values = weights->cast_vector<int8_t>();
+        std::vector<int8_t> zero_point_values{8};
+        std::vector<int8_t> new_weights_values(ov::shape_size(weights->get_shape()));
+        ov::reference::autobroadcast_binop(weights_values.data(),
+                                           zero_point_values.data(),
+                                           new_weights_values.data(),
+                                           weights->get_shape(),
+                                           ov::Shape{},
+                                           ov::op::AutoBroadcastType::NUMPY,
+                                           apply_zero_point);
+        if (can_be_fused) {
+            auto new_weights = ov::op::v0::Constant::create(ov::element::i4, weights->get_shape(), new_weights_values);
+            ov::replace_node_update_name(weights, new_weights);
+            ov::replace_output_update_name(subtract, subtract.get_node()->input_value(0));
+        } else {
+            auto new_zp = ov::op::v0::Constant::create(zero_point->get_element_type(), {}, {zero_point_value});
+            ov::replace_node_update_name(zero_point, new_zp);
+        }
+        return true;
+    };
+
+    auto m = std::make_shared<ov::pass::pattern::Matcher>(subtract_m, matcher_name);
+    register_matcher(m, callback);
+}

src/common/transformations/src/transformations/common_optimizations/moc_transformations.cpp

@@ -32,6 +32,7 @@
 #include "transformations/common_optimizations/fold_subgraph_empty_inputs.hpp"
 #include "transformations/common_optimizations/fq_mul_fusion.hpp"
 #include "transformations/common_optimizations/fq_reshape_fusion.hpp"
+#include "transformations/common_optimizations/fuse_u4_weights_zero_point.hpp"
 #include "transformations/common_optimizations/gelu_fusion.hpp"
 #include "transformations/common_optimizations/gru_cell_fusion.hpp"
 #include "transformations/common_optimizations/hsigmoid_fusion.hpp"
@@ -76,7 +77,6 @@
 #include "transformations/common_optimizations/swish_fusion.hpp"
 #include "transformations/common_optimizations/transpose_sinking.hpp"
 #include "transformations/common_optimizations/transpose_to_reshape.hpp"
-#include "transformations/common_optimizations/weights_zero_point_fusion.hpp"
 #include "transformations/init_node_info.hpp"
 #include "transformations/low_precision/mark_dequantization_subgraph.hpp"
 #include "transformations/op_conversions/batch_norm_decomposition.hpp"
@@ -213,7 +213,7 @@ bool ov::pass::MOCTransformations::run_on_model(const std::shared_ptr<ov::Model>
     ADD_MATCHER(common_fusions, ShuffleChannelsFusion, !m_use_shapes)
     ADD_MATCHER(common_fusions, NonZeroHorizontalFusion)
     ADD_MATCHER(common_fusions, AdaptivePoolToReduce)
-    ADD_MATCHER(common_fusions, WeightsZeroPointFusion)
+    ADD_MATCHER(common_fusions, FuseU4WeightsAndZeroPoint)
     common_fusions->set_name("ov::pass::CommonFusions");
 
     REGISTER_PASS(manager, BinarizeWeights)