[onert] Introduce capabilities to find operands which can share memory (

Samsung#14228)

This commit adds capabilities to find operands linked which Tensors
which can share memory buffers. It's applicable for ops like Reshape, Squeeze and ExpandsDims
(where only shape is changed and data is not modified).

ONE-DCO-1.0-Signed-off-by: Mateusz Bencer [email protected]

runtime/onert/backend/cpu/CMakeLists.txt

@@ -1,6 +1,8 @@
 nnfw_find_package(Ruy REQUIRED)
 
 file(GLOB_RECURSE SOURCES "*.cc")
+file(GLOB_RECURSE TESTS "*.test.cc")
+list(REMOVE_ITEM SOURCES ${TESTS})
 
 add_library(${LIB_ONERT_BACKEND_CPU} SHARED ${SOURCES})
 
@@ -21,3 +23,25 @@ set_target_properties(${LIB_ONERT_BACKEND_CPU} PROPERTIES
   INSTALL_RPATH "$ORIGIN:$ORIGIN/..")
 
 install(TARGETS ${LIB_ONERT_BACKEND_CPU} DESTINATION lib/nnfw/backend)
+
+if(NOT ENABLE_TEST)
+  return()
+endif(NOT ENABLE_TEST)
+
+# Unit Tests
+set(TEST_ONERT_CPU_BACKEND test_onert_cpu_backend)
+
+add_executable(${TEST_ONERT_CPU_BACKEND} ${TESTS})
+
+target_link_libraries(${TEST_ONERT_CPU_BACKEND} ${LIB_ONERT_BACKEND_CPU})
+# Requires linking nnfw_coverage: check header coverage
+target_link_libraries(${TEST_ONERT_CPU_BACKEND} nnfw_coverage)
+target_link_libraries(${TEST_ONERT_CPU_BACKEND} onert_core)
+target_link_libraries(${TEST_ONERT_CPU_BACKEND} gtest gtest_main dl ${LIB_PTHREAD})
+
+# Set install rpath to find onert_core, onert_backend_cpu, etc
+set_target_properties(${TEST_ONERT_CPU_BACKEND} PROPERTIES
+  INSTALL_RPATH "$ORIGIN/../lib/nnfw:$ORIGIN/../lib/nnfw/backend")
+
+add_test(${TEST_ONERT_CPU_BACKEND} ${TEST_ONERT_CPU_BACKEND})
+install(TARGETS ${TEST_ONERT_CPU_BACKEND} DESTINATION unittest)

runtime/onert/backend/cpu/SharedMemoryOperands.cc

@@ -0,0 +1,94 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "SharedMemoryOperands.h"
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+
+namespace
+{
+// To handle cases like Reshape->Reshape->Reshape... chain where the memory is shared.
+// In such a case we should re-assign indexes to the first Reshape input.
+void reassign_indexes_to_single_sources(
+  ir::OperandIndexMap<ir::OperandIndex> &shared_memory_operand_map)
+{
+  for (auto [shared_ind, source_ind] : shared_memory_operand_map)
+  {
+    bool other_source_found = false;
+    auto it = std::end(shared_memory_operand_map);
+    while ((it = shared_memory_operand_map.find(source_ind)) != std::end(shared_memory_operand_map))
+    {
+      source_ind = shared_memory_operand_map[source_ind];
+      other_source_found = true;
+    }
+    if (other_source_found)
+    {
+      shared_memory_operand_map[shared_ind] = source_ind;
+    }
+  }
+}
+
+bool is_memory_sharing_allowed(const ir::IGraph &graph, const ir::IOperation &op)
+{
+  const std::unordered_set<ir::OpCode> ops_with_possible_memory_sharing = {
+    ir::OpCode::Reshape, ir::OpCode::ExpandDims, ir::OpCode::Squeeze};
+
+  if (ops_with_possible_memory_sharing.find(op.opcode()) ==
+      std::end(ops_with_possible_memory_sharing))
+  {
+    return false;
+  }
+  if (graph.operands().at(op.getInputs().at(0)).info().isDynamic())
+  {
+    return false;
+  }
+  if (graph.operands().at(op.getOutputs().at(0)).info().isDynamic())
+  {
+    return false;
+  }
+  const auto op_input_output = {op.getInputs().at(0), op.getOutputs().at(0)};
+  const bool is_model_input_output = std::any_of(
+    std::begin(op_input_output), std::end(op_input_output), [&graph](const ir::OperandIndex &ind) {
+      return graph.getInputs().contains(ind) || graph.getOutputs().contains(ind);
+    });
+  return !is_model_input_output;
+};
+
+} // namespace
+
+ir::OperandIndexMap<ir::OperandIndex> findSharedMemoryOperandIndexes(const ir::IGraph &graph)
+{
+  ir::OperandIndexMap<ir::OperandIndex> shared_memory_operand_map;
+  graph.operations().iterate([&](const ir::OperationIndex &, const ir::IOperation &op) {
+    if (is_memory_sharing_allowed(graph, op))
+    {
+      assert(op.getInputs().size() == 1 || op.getInputs().size() == 2);
+      assert(op.getOutputs().size() == 1);
+      shared_memory_operand_map[op.getOutputs().at(0)] = op.getInputs().at(0);
+    }
+  });
+  reassign_indexes_to_single_sources(shared_memory_operand_map);
+  return shared_memory_operand_map;
+}
+
+} // namespace cpu
+} // namespace backend
+} // namespace onert

runtime/onert/backend/cpu/SharedMemoryOperands.h

@@ -0,0 +1,39 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef __ONERT_BACKEND_CPU_SHARED_MEMORY_OPERANDS_H__
+#define __ONERT_BACKEND_CPU_SHARED_MEMORY_OPERANDS_H__
+
+#include "ir/IGraph.h"
+#include "ir/OperandIndexMap.h"
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+/*
+ * Find indexed of operands assigned to tensors which can share memory (indicate the same buffer).
+ * Note that it's applicable for operations that do NOT change data but only shape like Reshape.
+ */
+ir::OperandIndexMap<ir::OperandIndex> findSharedMemoryOperandIndexes(const ir::IGraph &graph);
+
+} // namespace cpu
+} // namespace backend
+} // namespace onert
+
+#endif // __ONERT_BACKEND_CPU_SHARED_MEMORY_OPERANDS_H__

runtime/onert/backend/cpu/SharedMemoryOperands.test.cc

@@ -0,0 +1,226 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <gtest/gtest.h>
+
+#include <memory>
+
+#include "SharedMemoryOperands.h"
+
+#include "ir/Graph.h"
+#include "ir/operation/Permute.h"
+#include "ir/operation/Squeeze.h"
+#include "ir/operation/Reshape.h"
+
+using namespace onert::backend::cpu;
+using namespace onert::ir;
+
+// Add node other than Reshape/ExpandDims/Squeeze.
+// It is used for cases where Reshape input/output is not input/output on the whole model.
+namespace
+{
+void addNotOptimizedNode(Graph *graph, const OperandIndex &input, const OperandIndex &output)
+{
+  graph->addOperation(std::make_unique<operation::Permute>(input, output));
+}
+} // namespace
+
+TEST(SharedMemoryOperands, no_shared_memory_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4}, data_type);
+  const auto not_optim_out = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, not_optim_out);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 0);
+}
+
+TEST(SharedMemoryOperands, single_reshape_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4}, data_type);
+  const auto reshape_input = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, reshape_input);
+  const auto reshape_output = graph->addOperand({2, 2}, data_type);
+  operation::Reshape::Param shape;
+  shape.new_shape = {2, 2};
+  TypeInfo shape_type{DataType::INT32};
+  const auto reshape_shape = graph->addOperand({2}, shape_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape_input, reshape_shape},
+                                         OperandIndexSequence{reshape_output}, shape));
+  const auto not_optim_out_2 = graph->addOperand({2, 2}, data_type);
+  addNotOptimizedNode(graph.get(), reshape_output, not_optim_out_2);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out_2);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 1);
+  EXPECT_EQ(indexes_map.begin()->first, 2);
+  EXPECT_EQ(indexes_map.begin()->second, 1);
+}
+
+TEST(SharedMemoryOperands, double_reshape_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4}, data_type);
+  const auto reshape1_input = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, reshape1_input);
+  const auto reshape1_output = graph->addOperand({2, 2}, data_type);
+  operation::Reshape::Param shape;
+  shape.new_shape = {2, 2};
+  TypeInfo shape_type{DataType::INT32};
+  const auto reshape_shape = graph->addOperand({2}, shape_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape1_input, reshape_shape},
+                                         OperandIndexSequence{reshape1_output}, shape));
+  const auto reshape2_output = graph->addOperand({2, 2}, data_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape1_output, reshape_shape},
+                                         OperandIndexSequence{reshape2_output}, shape));
+  const auto not_optim_out_2 = graph->addOperand({2, 2}, data_type);
+  addNotOptimizedNode(graph.get(), reshape2_output, not_optim_out_2);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out_2);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 2);
+  auto map_it = indexes_map.begin();
+  EXPECT_EQ(map_it->first, 2);
+  EXPECT_EQ(map_it->second, 1);
+  ++map_it;
+  EXPECT_EQ(map_it->first, 4);
+  EXPECT_EQ(map_it->second, 1);
+}
+
+TEST(SharedMemoryOperands, dyn_output_reshape_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4}, data_type);
+  const auto reshape_input = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, reshape_input);
+  const auto reshape_output = graph->addOperand({}, data_type);
+  graph->operands().at(reshape_output).info().setDynamic();
+  operation::Reshape::Param shape;
+  TypeInfo shape_type{DataType::INT32};
+  const auto reshape_shape = graph->addOperand({2}, shape_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape_input, reshape_shape},
+                                         OperandIndexSequence{reshape_output}, shape));
+  const auto not_optim_out_2 = graph->addOperand({}, data_type);
+  addNotOptimizedNode(graph.get(), reshape_output, not_optim_out_2);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out_2);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 0);
+}
+
+TEST(SharedMemoryOperands, model_input_reshape_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto reshape_input = graph->addOperand({4}, data_type);
+  const auto reshape_output = graph->addOperand({2, 2}, data_type);
+  operation::Reshape::Param shape;
+  shape.new_shape = {2, 2};
+  TypeInfo shape_type{DataType::INT32};
+  const auto reshape_shape = graph->addOperand({2}, shape_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape_input, reshape_shape},
+                                         OperandIndexSequence{reshape_output}, shape));
+  const auto not_optim_out = graph->addOperand({2, 2}, data_type);
+  addNotOptimizedNode(graph.get(), reshape_output, not_optim_out);
+  graph->addInput(reshape_input);
+  graph->addOutput(not_optim_out);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 0);
+}
+
+TEST(SharedMemoryOperands, single_squeeze_graph)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4, 1}, data_type);
+  const auto squeeze_input = graph->addOperand({4, 1}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, squeeze_input);
+  const auto squeeze_output = graph->addOperand({4}, data_type);
+  operation::Squeeze::Param axes;
+  axes.dims[0] = 1;
+  axes.ndim = 1;
+  graph->addOperation(std::make_unique<operation::Squeeze>(
+    OperandIndexSequence{squeeze_input}, OperandIndexSequence{squeeze_output}, axes));
+  const auto not_optim_out_2 = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), squeeze_output, not_optim_out_2);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out_2);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 1);
+  EXPECT_EQ(indexes_map.begin()->first, 2);
+  EXPECT_EQ(indexes_map.begin()->second, 1);
+}
+
+TEST(SharedMemoryOperands, multiple_reshape_input_consumers)
+{
+  auto graph = std::make_unique<Graph>();
+  TypeInfo data_type{DataType::FLOAT32};
+  const auto not_optim_in = graph->addOperand({4}, data_type);
+  const auto reshape_input = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), not_optim_in, reshape_input);
+  const auto reshape_output = graph->addOperand({2, 2}, data_type);
+  operation::Reshape::Param shape;
+  shape.new_shape = {2, 2};
+  TypeInfo shape_type{DataType::INT32};
+  const auto reshape_shape = graph->addOperand({2}, shape_type);
+  graph->addOperation(
+    std::make_unique<operation::Reshape>(OperandIndexSequence{reshape_input, reshape_shape},
+                                         OperandIndexSequence{reshape_output}, shape));
+  const auto not_optim_out_2 = graph->addOperand({2, 2}, data_type);
+  addNotOptimizedNode(graph.get(), reshape_output, not_optim_out_2);
+  const auto not_optim_out_3 = graph->addOperand({4}, data_type);
+  addNotOptimizedNode(graph.get(), reshape_input, not_optim_out_3);
+  graph->addInput(not_optim_in);
+  graph->addOutput(not_optim_out_2);
+  graph->addOutput(not_optim_out_3);
+  graph->verify();
+
+  const auto indexes_map = findSharedMemoryOperandIndexes(*graph);
+
+  ASSERT_EQ(indexes_map.size(), 1);
+  EXPECT_EQ(indexes_map.begin()->first, 2);
+  EXPECT_EQ(indexes_map.begin()->second, 1);
+}