[one-optimize] Fuse Mul with FullyConnected layer #13528
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| /* | ||
| * 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. | ||
| */ | ||
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| #include "luci/Pass/FuseMulWithFullyConnectedPass.h" | ||
| #include "helpers/CreateCircleConst.h" | ||
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| #include <luci/IR/CircleNodes.h> | ||
| #include <luci/test/TestIOGraph.h> | ||
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| #include <gtest/gtest.h> | ||
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| #define DIM_ONE 8 | ||
| #define DIM_TWO 4 | ||
| #define MUL_VAL 2.0f | ||
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| namespace | ||
| { | ||
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| using namespace luci::test; | ||
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| /** | ||
| * Graph for this test | ||
| * | ||
| * BEFORE | ||
| * | ||
| * [FC] | ||
| * | | ||
| * [Mul w/ Relu] | ||
| * | ||
| * AFTER | ||
| * | ||
| * [FC w/ Relu] (weights and bias updated) | ||
| * | ||
| */ | ||
| class FCMulGraphlet | ||
| { | ||
| public: | ||
| FCMulGraphlet() = default; | ||
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| void init(loco::Graph *g, luci::FusedActFunc fc_activation, bool is_mul_scalar) | ||
| { | ||
| std::vector<float> weights_val(DIM_ONE * DIM_TWO); | ||
| for (uint32_t i = 0; i < DIM_ONE * DIM_TWO; i++) | ||
| weights_val.at(i) = i; | ||
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| _fc_f = luci::create_const_node(g, loco::DataType::FLOAT32, {DIM_ONE, DIM_TWO}, weights_val); | ||
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| std::vector<float> bias_val(DIM_ONE); | ||
| for (uint32_t i = 0; i < DIM_ONE; i++) | ||
| bias_val.at(i) = i; | ||
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| _fc_b = luci::create_const_node(g, loco::DataType::FLOAT32, {DIM_ONE}, bias_val); | ||
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| _fc = g->nodes()->create<luci::CircleFullyConnected>(); | ||
| _fc->weights(_fc_f); | ||
| _fc->bias(_fc_b); | ||
| _fc->fusedActivationFunction(fc_activation); | ||
| _fc->dtype(loco::DataType::FLOAT32); | ||
| _fc->shape({1, DIM_ONE}); | ||
| _fc->name("fc"); | ||
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| std::vector<float> mul_values; | ||
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| if(is_mul_scalar) { | ||
| mul_values.push_back(static_cast<float>(MUL_VAL)); | ||
| _mul_c = luci::create_const_node(g, loco::DataType::FLOAT32, {1}, mul_values); | ||
| } | ||
| else { | ||
| for (uint32_t i = 0; i < DIM_ONE; i++) { | ||
| mul_values.push_back(static_cast<float>(i)); | ||
| } | ||
| _mul_c = luci::create_const_node(g, loco::DataType::FLOAT32, {1, 1, 1, DIM_ONE}, mul_values); | ||
| } | ||
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| _mul = g->nodes()->create<luci::CircleMul>(); | ||
| _mul->x(_fc); | ||
| _mul->y(_mul_c); | ||
| _mul->fusedActivationFunction(luci::FusedActFunc::RELU); | ||
| _mul->dtype(loco::DataType::FLOAT32); | ||
| if(is_mul_scalar) { | ||
| _mul->shape({1}); | ||
| } | ||
| else { | ||
| _mul->shape({1, DIM_ONE}); | ||
| } | ||
| _mul->name("mul"); | ||
| } | ||
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| public: | ||
| luci::CircleFullyConnected *fc() { return _fc; } | ||
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| void to_fm_bias(void) | ||
| { | ||
| assert(_fc != nullptr); | ||
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| auto new_fc = _fc->graph()->nodes()->create<luci::CircleFullyConnected>(); | ||
| _fc->bias(new_fc); | ||
| } | ||
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| protected: | ||
| luci::CircleFullyConnected *_fc = nullptr; | ||
| luci::CircleMul *_mul = nullptr; | ||
| luci::CircleConst *_fc_f = nullptr; | ||
| luci::CircleConst *_fc_b = nullptr; | ||
| luci::CircleConst *_mul_c = nullptr; | ||
| }; | ||
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| class FuseAddWithFCTestGraph : public TestIOGraph, public FCMulGraphlet | ||
| { | ||
| public: | ||
| FuseAddWithFCTestGraph() = default; | ||
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| void init(luci::FusedActFunc fc_activation = luci::FusedActFunc::NONE, bool is_mul_scalar = false) | ||
| { | ||
| TestIOGraph::init({1, DIM_TWO}, {1, DIM_ONE}); | ||
| FCMulGraphlet::init(g(), fc_activation, is_mul_scalar); | ||
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| _fc->input(input()); | ||
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| output()->from(_mul); | ||
| } | ||
| }; | ||
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| class FuseMulWithFullyConnectedPassTest : public ::testing::Test | ||
| { | ||
| public: | ||
| FuseAddWithFCTestGraph g; | ||
| luci::FuseMulWithFullyConnectedPass pass; | ||
| }; | ||
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| TEST_F(FuseMulWithFullyConnectedPassTest, fc_without_activation_mul_not_scalar) | ||
| { | ||
| g.init(luci::FusedActFunc::NONE, false); | ||
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| EXPECT_EQ(true, pass.run(g.g())); | ||
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| auto fc = dynamic_cast<luci::CircleFullyConnected *>(g.output()->from()); | ||
| EXPECT_NE(nullptr, fc); | ||
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| auto weights = loco::must_cast<luci::CircleConst *>(g.fc()->weights()); | ||
| auto weights_n = weights->dim(0).value(); | ||
| auto weights_m = weights->dim(1).value(); | ||
| uint32_t offset = 0; | ||
| for (uint32_t i = 0; i < weights_n; i++) | ||
| { | ||
| for (uint32_t j = 0; j < weights_m; j++) | ||
| { | ||
| offset = i * weights_m + j; | ||
| EXPECT_EQ(i * offset, weights->at<loco::DataType::FLOAT32>(offset)); | ||
| } | ||
| } | ||
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| auto bias = loco::must_cast<luci::CircleConst *>(g.fc()->bias()); | ||
| for (uint32_t i = 0; i < bias->size<loco::DataType::FLOAT32>(); i++) | ||
| { | ||
| EXPECT_EQ(i * i, bias->at<loco::DataType::FLOAT32>(i)); | ||
| } | ||
| } | ||
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| TEST_F(FuseMulWithFullyConnectedPassTest, fc_without_activation_mul_is_scalar) | ||
| { | ||
| g.init(luci::FusedActFunc::NONE, true); | ||
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| EXPECT_EQ(true, pass.run(g.g())); | ||
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| auto fc = dynamic_cast<luci::CircleFullyConnected *>(g.output()->from()); | ||
| EXPECT_NE(nullptr, fc); | ||
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| auto weights = loco::must_cast<luci::CircleConst *>(g.fc()->weights()); | ||
| auto weights_n = weights->dim(0).value(); | ||
| auto weights_m = weights->dim(1).value(); | ||
| uint32_t offset = 0; | ||
| for (uint32_t i = 0; i < weights_n; i++) | ||
| { | ||
| for (uint32_t j = 0; j < weights_m; j++) | ||
| { | ||
| offset = i * weights_m + j; | ||
| EXPECT_EQ(MUL_VAL * offset, weights->at<loco::DataType::FLOAT32>(offset)); | ||
| } | ||
| } | ||
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| auto bias = loco::must_cast<luci::CircleConst *>(g.fc()->bias()); | ||
| for (uint32_t i = 0; i < bias->size<loco::DataType::FLOAT32>(); i++) | ||
| { | ||
| EXPECT_EQ(MUL_VAL * i, bias->at<loco::DataType::FLOAT32>(i)); | ||
| } | ||
| } | ||
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| TEST_F(FuseMulWithFullyConnectedPassTest, bias_feature_map_NEG) | ||
| { | ||
| g.init(); | ||
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| // Bias cannot be fused as it's passed as feature map. | ||
| g.to_fm_bias(); | ||
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| EXPECT_EQ(false, pass.run(g.g())); | ||
| } | ||
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| TEST_F(FuseMulWithFullyConnectedPassTest, fc_with_activation_NEG) | ||
| { | ||
| g.init(luci::FusedActFunc::RELU); | ||
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| EXPECT_EQ(false, pass.run(g.g())); | ||
| } | ||
| } |
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to follow other options
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Got it! Done in scope of d386541