[Snippets] Added support of BF16/I8/U8 for MatMul

src/common/snippets/CMakeLists.txt

@@ -26,7 +26,7 @@ ie_faster_build(${TARGET_NAME}
 )
 
 target_link_libraries(${TARGET_NAME} PUBLIC openvino::runtime
-                                     PRIVATE ngraph_reference ov_shape_inference openvino::runtime::dev)
+                                     PRIVATE ngraph_reference openvino::runtime::dev)
 
 target_include_directories(${TARGET_NAME} PUBLIC $<BUILD_INTERFACE:${PUBLIC_HEADERS_DIR}>
                                           PRIVATE $<BUILD_INTERFACE:${SHAPE_INFER_INCLUDE_DIR}>)

src/common/snippets/include/snippets/generator.hpp

@@ -43,7 +43,6 @@ class TargetMachine {
      */
     virtual size_t get_lanes() const = 0;
 
-
     /**
      * @brief called by generator to all the emitter for a target machine
      * @return a map by node's type info with callbacks to create an instance of emitter for corresponding operation type
@@ -155,7 +154,29 @@ class Generator {
      */
     std::shared_ptr<const TargetMachine> get_target_machine() const;
 
+    /**
+    * @interface opRegType
+    * @brief Register type of operations
+    *        Note that currently there are 4 types of ops:
+    *        gpr->gpr: (Parameter, Result, LoopBegin, LoopEnd etc)
+    *        gpr->vec: or vec->gpr Load/LoadConvert, Store/StoreConvert, BroadcastLoad etc.
+    *        vec->vec: all other "normal" operations that perform calculations on vector registers: Add, BroadcastMove, Power, etc.
+    */
+    enum opRegType {gpr2gpr, gpr2vec, vec2gpr, vec2vec};
+    /**
+     * @brief gets register type by op type
+     *        TODO: Should be static attribute of emitters
+     * @return register type
+     */
+    opRegType get_op_reg_type(const std::shared_ptr<Node>& op) const;
+
 protected:
+    /**
+    * @brief gets register type by specific plugin op type
+    * @return register type
+    */
+    virtual opRegType get_specific_op_reg_type(const std::shared_ptr<ov::Node>& op) const;
+
     std::shared_ptr<TargetMachine> target;
     // todo: we need to save lowered code to access compiled brgemm kernels on execution time (normally lowered is destructed by then).
     //  This is temporary solution, remove this when kernel caching is implemented. Don't forget to make generate const method.

src/common/snippets/include/snippets/op/brgemm.hpp

@@ -5,7 +5,7 @@
 #pragma once
 
 #include "ngraph/op/op.hpp"
-#include "ngraph/op/matmul.hpp"
+#include "memory_access.hpp"
 
 namespace ngraph {
 namespace snippets {
@@ -16,30 +16,25 @@ namespace op {
  * @brief Brgemm is a batch-reduced matrix multiplication with the support of arbitrary strides between matrices rows
  * @ingroup snippets
  */
-class Brgemm : public ngraph::op::v0::MatMul {
+class Brgemm : public MemoryAccess {
 public:
-    OPENVINO_OP("Brgemm", "SnippetsOpset", ngraph::op::v0::MatMul);
-    Brgemm(const Output<Node>& A, const Output<Node>& B, const size_t offset_a = 0lu, const size_t offset_b = 0lu, const size_t offset_c = 0lu);
+    OPENVINO_OP("Brgemm", "SnippetsOpset", MemoryAccess);
+    Brgemm(const Output<Node>& A, const Output<Node>& B,
+           const size_t offset_a = 0lu, const size_t offset_b = 0lu, const size_t offset_c = 0lu);
     Brgemm() = default;
 
-    bool visit_attributes(AttributeVisitor& visitor) override;
+    size_t get_offset_a() const { return get_input_offset(0); }
+    size_t get_offset_b() const { return get_input_offset(1); }
+    size_t get_offset_c() const { return get_output_offset(0); }
+
     void validate_and_infer_types() override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
 
     bool has_evaluate() const override { return false; }
 
-    size_t get_offset_a() const { return m_offset_a; }
-    size_t get_offset_b() const { return m_offset_b; }
-    size_t get_offset_c() const { return m_offset_c; }
-
-    void set_offset_a(const size_t offset) { m_offset_a = offset; }
-    void set_offset_b(const size_t offset) { m_offset_b = offset; }
-    void set_offset_c(const size_t offset) { m_offset_c = offset; }
-
-private:
-    size_t m_offset_a = 0lu;  // offset for first input
-    size_t m_offset_b = 0lu;  // offset for second input
-    size_t m_offset_c = 0lu;  // offset for output
+protected:
+    ov::element::Type get_output_type() const;
+    ov::PartialShape get_output_partial_shape(const std::vector<ov::PartialShape>& input_shapes) const;
 };
 
 } // namespace op

src/common/snippets/include/snippets/op/broadcastload.hpp

@@ -4,7 +4,7 @@
 
 #pragma once
 
-#include <snippets/op/broadcastmove.hpp>
+#include <snippets/op/memory_access.hpp>
 
 #include "ngraph/op/op.hpp"
 
@@ -17,22 +17,21 @@ namespace op {
  * @brief Is generated for broadcasting by least varying dimension for non-blocked cases and the second varying dimension for blocked
  * @ingroup snippets
  */
-class BroadcastLoad : public BroadcastMove {
+class BroadcastLoad : public MemoryAccess {
 public:
-    OPENVINO_OP("BroadcastLoad", "SnippetsOpset", ngraph::snippets::op::BroadcastMove);
+    OPENVINO_OP("BroadcastLoad", "SnippetsOpset", ngraph::snippets::op::MemoryAccess);
 
     BroadcastLoad(const Output<Node>& x, ov::PartialShape output_shape, size_t offset = 0lu);
     BroadcastLoad() = default;
 
-    size_t get_offset() const { return m_offset; }
-    void set_offset(const size_t offset) { m_offset = offset; }
+    size_t get_offset() const { return get_input_offset(0); }
 
     bool visit_attributes(AttributeVisitor& visitor) override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
     void validate_and_infer_types() override;
 
 private:
-    size_t m_offset = 0lu;
+    ov::PartialShape output_shape;
 };
 
 } // namespace op

src/common/snippets/include/snippets/op/buffer.hpp

@@ -12,10 +12,9 @@ namespace op {
 
 /**
  * @interface Buffer
- * @brief The operation is for intermediate data storage
- *        - m_allocation_rank - rank of shape for memory allocation: shape[shape_rank - normalize(m_allocation_rank) : shape_rank].
- *                 It's needed to allocate needed memory size that depends on Tile rank, for example.
- *                 Default value is -1 (full shape)
+ * @brief This is a base class for memory storage.
+ *        If Buffer has a parent, the operation is for intermediate data storage - IntermediateMemory type.
+ *        Otherwise, the operation is for allocation of new empty memory with shape `m_shape` - NewMemory type
  *        Notes:
  *               - All buffers in a graph have the same memory pointer. So if we have a few buffers,
  *                 each the corresponding MemoryAccess op for Buffer should have offset for common memory pointer of this Buffer
@@ -25,21 +24,30 @@ namespace op {
 class Buffer : public ngraph::op::Op {
 public:
     OPENVINO_OP("Buffer", "SnippetsOpset");
-
-    Buffer(const Output<Node>& x, const int32_t allocation_rank = -1);
     Buffer() = default;
+    Buffer(const ov::Shape& shape);
+    Buffer(const ov::Output<ov::Node>& arg, const ov::Shape& shape);
+    Buffer(const ov::Output<ov::Node>& arg, int32_t allocation_rank = -1);
+
+    bool visit_attributes(AttributeVisitor& visitor) override;
+    void validate_and_infer_types() override;
+    std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
 
-    int32_t get_allocation_rank() const { return m_allocation_rank; }
-    void set_allocation_rank(int32_t rank) { m_allocation_rank = rank; }
+    enum Type {
+        NewMemory,
+        IntermediateMemory
+    };
 
+    Type get_type() const { return m_type; }
+    ov::Shape get_allocation_shape() const { return m_shape; }
     size_t get_byte_size() const;
 
-    bool visit_attributes(AttributeVisitor& visitor) override;
-    std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
-    void validate_and_infer_types() override;
+    bool is_intermediate_memory() const { return m_type == Type::IntermediateMemory; }
+    bool is_new_memory() const { return m_type == Type::NewMemory; }
 
 private:
-    int32_t m_allocation_rank = -1;
+    Type m_type = Type::IntermediateMemory;
+    ov::Shape m_shape = {};
 };
 
 } // namespace op

src/common/snippets/include/snippets/op/load.hpp

@@ -20,11 +20,18 @@ namespace op {
  */
 class Load : public MemoryAccess {
 public:
-    OPENVINO_OP("Load", "SnippetsOpset");
+    OPENVINO_OP("Load", "SnippetsOpset", MemoryAccess);
 
     Load(const Output<Node>& x, const size_t count = 1lu, const size_t offset = 0lu);
     Load() = default;
 
+    size_t get_offset() const { return get_input_offset(0); }
+    size_t get_count() const { return get_input_count(0); }
+
+    void set_offset(size_t offset) { set_input_offset(offset, 0); }
+    void set_count(size_t count) { set_input_count(count, 0); }
+
+    void validate_and_infer_types() override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
 };
 
@@ -41,6 +48,9 @@ class LoadReshape : public Load {
     LoadReshape(const Output<Node>& x, size_t count = 1lu, const size_t offset = 0lu, std::vector<size_t> order = {});
     LoadReshape() = default;
 
+    void set_offset(size_t offset) { set_output_offset(offset, 0); }
+    void set_count(size_t count) { set_output_count(count, 0); }
+
     bool visit_attributes(AttributeVisitor& visitor) override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
     void validate_and_infer_types() override;

src/common/snippets/include/snippets/op/memory_access.hpp

@@ -1,4 +1,4 @@
-// Copyright (C) 2018-2022 Intel Corporation
+// Copyright (C) 2018-2023 Intel Corporation
 // SPDX-License-Identifier: Apache-2.0
 //
 
@@ -13,28 +13,64 @@ namespace op {
 /**
  * @interface MemoryAccess
  * @brief This is a base class for memory access operations (like Load and Store).
- *        It provides universal set/get interface to manipulate the number
- *        of elements accessed during one operation call ("count").
- *        Default "count" value is "1" - it means to load/store one element
+ *        It provides universal interface to manipulate with memory: load/store.
+ * @param m_input_ports - vector of input descriptors: variables of PortDescriptor class
+ * @param m_output_ports - vector of output descriptors: variables of PortDescriptor class
  * @ingroup snippets
  */
 
 class MemoryAccess : public ngraph::op::Op {
 public:
     OPENVINO_OP("MemoryAccess", "SnippetsOpset");
 
-    size_t get_count() const;
-    size_t get_offset() const;
-    void set_count(const size_t count);
-    void set_offset(const size_t offset);
+    /**
+    * @interface PortDescriptor
+    * @brief This class describes port of MemoryAccess operation
+    * @param m_count - count of elements to load/store
+    * @param m_offset - starting index of elements to load/store
+    * @param m_index - port index
+    * @ingroup snippets
+    */
+    struct PortDescriptor {
+        PortDescriptor(size_t count, size_t offset) : count(count), offset(offset) {}
+        PortDescriptor() = default;
+
+        size_t count = 0lu;
+        size_t offset = 0lu;
+        size_t index = 0lu;
+
+    private:
+        PortDescriptor(size_t count, size_t offset, size_t index) : count(count), offset(offset), index(index) {}
+
+        friend class MemoryAccess;
+    };
+
+    void set_input_count(size_t count, size_t idx = 0);
+    void set_output_count(size_t count, size_t idx = 0);
+    void set_input_offset(size_t offset, size_t idx = 0);
+    void set_output_offset(size_t offset, size_t idx = 0);
+
+    size_t get_input_count(size_t idx = 0) const;
+    size_t get_output_count(size_t idx = 0) const;
+    size_t get_input_offset(size_t idx = 0) const;
+    size_t get_output_offset(size_t idx = 0) const;
+
+    size_t get_input_port_count() const { return m_input_ports.size(); }
+    size_t get_output_port_count() const { return m_output_ports.size(); }
+
     bool visit_attributes(AttributeVisitor& visitor) override;
-    void validate_and_infer_types() override;
 
 protected:
-    explicit MemoryAccess(const Output<Node>& x, size_t count = 1lu, size_t offset = 0lu);
+    explicit MemoryAccess(const OutputVector& arguments, size_t input_count = 0, size_t output_count = 0);
     MemoryAccess() = default;
-    size_t m_count = 0lu;
-    size_t m_offset = 0lu;
+
+    void set_input_port_descriptor(const PortDescriptor& desc, const size_t i);
+    void set_output_port_descriptor(const PortDescriptor& desc, const size_t i);
+    const PortDescriptor& get_input_port_descriptor(const size_t i) const;
+    const PortDescriptor& get_output_port_descriptor(const size_t i) const;
+
+    std::vector<PortDescriptor> m_input_ports;
+    std::vector<PortDescriptor> m_output_ports;
 };
 
 } // namespace op

src/common/snippets/include/snippets/op/store.hpp

@@ -20,11 +20,18 @@ namespace op {
  */
 class Store : public MemoryAccess {
 public:
-    OPENVINO_OP("Store", "SnippetsOpset");
+    OPENVINO_OP("Store", "SnippetsOpset", MemoryAccess);
 
     Store(const Output<Node>& x, const size_t count = 1lu, const size_t offset = 0lu);
     Store() = default;
 
+    size_t get_offset() const { return get_output_offset(0); }
+    size_t get_count() const { return get_output_count(0); }
+
+    void set_offset(size_t offset) { set_output_offset(offset, 0); }
+    void set_count(size_t count) { set_output_count(count, 0); }
+
+    void validate_and_infer_types() override;
     std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
 };
 

src/common/snippets/include/snippets/pass/assign_registers.hpp

@@ -6,6 +6,8 @@
 
 #include <ngraph/pass/pass.hpp>
 
+#include "snippets/generator.hpp"
+
 namespace ngraph {
 namespace snippets {
 namespace pass {
@@ -18,10 +20,13 @@ namespace pass {
  */
 class AssignRegisters : public ngraph::pass::FunctionPass {
 public:
-    explicit AssignRegisters() {
+    explicit AssignRegisters(const std::function<Generator::opRegType(const std::shared_ptr<Node>& op)>& mapper) : m_reg_type_mapper(mapper) {
         set_property(ngraph::pass::PassProperty::REQUIRE_STATIC_SHAPE, true);
     }
     bool run_on_model(const std::shared_ptr<ov::Model>& m) override;
+
+private:
+    std::function<Generator::opRegType(const std::shared_ptr<Node>& op)> m_reg_type_mapper;
 };
 
 }  // namespace pass

src/common/snippets/include/snippets/utils.hpp

@@ -29,10 +29,31 @@ ov::PartialShape get_port_planar_shape(const Output<Node>& out);
 ov::PartialShape get_reordered_planar_shape(const ov::PartialShape& shape, const std::vector<size_t>& layout);
 std::vector<size_t> get_node_output_layout(const std::shared_ptr<Node>& node);
 std::vector<size_t> get_node_output_layout(const Node* node);
+void set_transpose_output_layout(const ov::Output<Node>& port, const std::shared_ptr<opset1::Transpose>& node);
+void set_output_layout(const ov::Output<Node>& port, const std::vector<size_t>& layout);
 
 inline ov::Dimension get_inner_dim(const ov::PartialShape &shape) { return *(shape.rbegin()); }
 inline ov::Dimension get_outer_dim(const ov::PartialShape &shape) { return *(shape.rbegin() + 1); }
 
+inline auto normalize_rank(int32_t allocation_rank, const size_t shape_rank) -> int32_t {
+    return allocation_rank < 0 ? allocation_rank + static_cast<int32_t>(shape_rank) + 1 : allocation_rank;
+}
+
+template <typename T, typename P>
+constexpr bool one_of(T val, P item) { return val == item; }
+
+template <typename T, typename P, typename... Args>
+constexpr bool one_of(T val, P item, Args... item_others) {
+    return val == item || one_of(val, item_others...);
+}
+
+template <typename T, typename P>
+constexpr bool everyone_is(T val, P item) { return val == item; }
+
+template <typename T, typename P, typename... Args>
+constexpr bool everyone_is(T val, P item, Args... item_others) {
+    return val == item && everyone_is(val, item_others...);
+}
 } // namespace utils
 } // namespace snippets
 } // namespace ngraph