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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
#pragma once

#include "snippets/lowered/pass/brgemm_blocking.hpp"
#include "snippets/lowered/specific_loop_iter_handlers.hpp"
#include "transformations/snippets/aarch64/op/gemm_cpu.hpp"

namespace ov::intel_cpu::pass {
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@@ -0,0 +1,209 @@
// Copyright (C) 2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#include "transformations/snippets/aarch64/pass/lowered/gemm_cpu_blocking.hpp"

#include "lir_test_utils.hpp"
#include "openvino/opsets/opset10_decl.hpp"
#include "snippets/lowered/loop_info.hpp"
#include "snippets/op/buffer.hpp"
#include "transformations/snippets/aarch64/op/gemm_cpu.hpp"

namespace ov::test::snippets {

using namespace ov::intel_cpu;
using namespace ov::snippets::lowered;
using namespace ov::snippets::lowered::pass;
using namespace ov::snippets;
using PortType = LoopPort::Type;
using PortDescriptor = ov::snippets::modifier::MemoryAccess::PortDescriptor;

namespace {


void create_gemm_loop_infos(const LinearIRPtr& linear_ir,
const ExpressionPtr& gemm_expr,
size_t m = 0, size_t m_blk = 0,
size_t k = 0, size_t k_blk = 0,
size_t n = 0, size_t n_blk = 0) {
const bool n_block = n != 0 && n_blk != 0;
const bool m_block = m != 0 && m_blk != 0;
if (n_block) {
linear_ir->get_loop_manager()->add_loop_info(
std::make_shared<ov::snippets::lowered::UnifiedLoopInfo>(n, n_blk,
std::vector<LoopPort>{LoopPort::create<PortType::NotProcessed>(gemm_expr->get_input_port(0)),
LoopPort::create<PortType::Incremented>(gemm_expr->get_input_port(1))},
std::vector<LoopPort>{LoopPort::create<PortType::Incremented>(gemm_expr->get_output_port(0))},
BrgemmBlockingBase::get_default_blocking_loop_handlers(n, n_blk)));
}
if (m_block) {
std::vector<LoopPort> entries{LoopPort::create<PortType::Incremented>(gemm_expr->get_input_port(0), 1)};
for (size_t i = 1; i < gemm_expr->get_input_count(); ++i)
entries.push_back(LoopPort::create<PortType::NotProcessed>(gemm_expr->get_input_port(i)));
linear_ir->get_loop_manager()->add_loop_info(
std::make_shared<ov::snippets::lowered::UnifiedLoopInfo>(m, m_blk,
entries,
std::vector<LoopPort>{LoopPort::create<PortType::Incremented>(gemm_expr->get_output_port(0), 1)},
BrgemmBlockingBase::get_default_blocking_loop_handlers(m, m_blk)));
}
}

} // namespace

class GemmBlockingTest : public LoweredPassTestsF {
public:
GemmBlockingTest() : LoweredPassTestsF() {
comparator.enable(LIRComparator::LIRCmpValues::LOOP_INDICES);
comparator.enable(LIRComparator::LIRCmpValues::PORT_DESCRIPTORS);
comparator.enable(LIRComparator::LIRCmpValues::PORT_CONNECTORS);
comparator.enable(LIRComparator::LIRCmpValues::LOOP_MANAGER);
}

protected:
size_t m_blk = 32;
size_t k_blk = full_dim;
size_t n_blk = 64;

static const size_t full_dim = ov::snippets::utils::get_full_dim_value();
};

class GemmCPUBlockingTest : public GemmBlockingTest {
public:
GemmCPUBlockingTest() = default;

void SetUp() override {
pipeline.register_pass<ov::intel_cpu::pass::GemmCPUBlocking>();
}
};

TEST_F(GemmCPUBlockingTest, Floating) {
const ov::PartialShape input_shape_a{1, 384, 16, 1024};
const ov::PartialShape input_shape_b{1, 384, 16, 1024};
const auto precision = ov::element::f32;
const VectorDims layout_a{0, 2, 1, 3};
const VectorDims layout_b{0, 2, 3, 1};
const VectorDims layout_c{0, 2, 1, 3};

{
auto data_a = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir->push_node<aarch64::GemmCPU>(data_a.second,
data_b.second,
PortDescriptor{},
PortDescriptor{},
PortDescriptor{0, 0},
layout_a,
layout_b,
layout_c);
init_expr_descriptors(*gemm.first, {}, {layout_a, layout_b, layout_c});
auto result = linear_ir->push_node<ov::opset10::Result>(gemm.second);
}
{
auto data_a = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir_ref->push_node<aarch64::GemmCPU>(data_a.second,
data_b.second,
PortDescriptor{},
PortDescriptor{},
PortDescriptor{0, 0},
layout_a,
layout_b,
layout_c);
const auto& gemm_expr = *gemm.first;
init_expr_descriptors(gemm_expr, {{m_blk, full_dim}, {full_dim, n_blk}, {m_blk, n_blk}}, {layout_a, layout_b, layout_c});
create_gemm_loop_infos(linear_ir_ref, gemm_expr, 384, m_blk, 0, 0, 384, n_blk);
gemm_expr->set_loop_ids({1, 0});
auto result = linear_ir_ref->push_node<ov::opset10::Result>(gemm.second);
}
}

TEST_F(GemmCPUBlockingTest, Floating_LargeK) {
const ov::Dimension::value_type m = 384;
const ov::Dimension::value_type n = 384;
const ov::Dimension::value_type k = 2048;
const ov::PartialShape input_shape_a{1, 16, m, k};
const ov::PartialShape input_shape_b{1, 16, k, n};
const auto precision = ov::element::f32;
k_blk = full_dim;

{
auto data_a = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
init_expr_descriptors(*gemm.first, {});
auto result = linear_ir->push_node<ov::opset10::Result>(gemm.second);
}
{
auto data_a = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir_ref->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
const auto& gemm_expr = *gemm.first;
init_expr_descriptors(gemm_expr, {{m_blk, full_dim}, {full_dim, n_blk}, {m_blk, n_blk}});
create_gemm_loop_infos(linear_ir_ref, gemm_expr, m, m_blk, 0, 0, n, n_blk);
gemm_expr->set_loop_ids({1, 0});
auto result = linear_ir_ref->push_node<ov::opset10::Result>(gemm.second);
}
}

TEST_F(GemmCPUBlockingTest, Float_FC) {
const ov::Dimension::value_type m = 384;
const ov::Dimension::value_type k = 1024;
const ov::Dimension::value_type n = 384;
const ov::PartialShape input_shape_a{1, 16, m, k};
const ov::PartialShape input_shape_b{1, 16, k, n};
const auto precision = ov::element::f32;

{
auto data_a = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_b);

auto gemm = linear_ir->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
init_expr_descriptors(*gemm.first);
auto result = linear_ir->push_node<ov::opset10::Result>(gemm.second);
}
{
auto data_a = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_b);

auto gemm = linear_ir_ref->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
const auto& gemm_expr = *gemm.first;
init_expr_descriptors(gemm_expr, {{m_blk, full_dim}, {full_dim, n_blk}, {m_blk, n_blk}});
create_gemm_loop_infos(linear_ir_ref, gemm_expr, m, m_blk, 0, 0, n, n_blk);
gemm_expr->set_loop_ids({1, 0});
auto result = linear_ir_ref->push_node<ov::opset10::Result>(gemm.second);
}
}

TEST_F(GemmCPUBlockingTest, BlockingIsNotNeeded) {
const auto precision = ov::element::f32;
const ov::Dimension::value_type n = 64;
const ov::Dimension::value_type m = 32;
const ov::Dimension::value_type k = 16;
const ov::PartialShape input_shape_a{1, 16, m, k};
const ov::PartialShape input_shape_b{1, 16, k, n};

{
auto data_a = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
init_expr_descriptors(*gemm.first);
auto result = linear_ir->push_node<ov::opset10::Result>(gemm.second);
}
{
auto data_a = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_a);
auto data_b = linear_ir_ref->push_node<ov::opset10::Parameter>(precision, input_shape_b);
auto gemm = linear_ir_ref->push_node<aarch64::GemmCPU>(data_a.second, data_b.second,
PortDescriptor{}, PortDescriptor{}, PortDescriptor{});
const auto full_subtensor = VectorDims(2, ov::snippets::utils::get_full_dim_value());
init_expr_descriptors(*gemm.first, std::vector<VectorDims>(3, full_subtensor));
auto result = linear_ir_ref->push_node<ov::opset10::Result>(gemm.second);
}
}

} // namespace ov::test::snippets
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