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constant_folding.cpp
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// Copyright (C) 2018-2023 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "ngraph/pass/constant_folding.hpp"
#include <transformations/utils/utils.hpp>
#include "common_test_utils/ngraph_test_utils.hpp"
#include "gmock/gmock.h"
#include "ngraph/ngraph.hpp"
#include "ngraph/opsets/opset1.hpp"
#include "ngraph/opsets/opset5.hpp"
#include "ngraph/pass/manager.hpp"
#include "util/all_close_f.hpp"
#include "util/test_tools.hpp"
using namespace ngraph;
using namespace std;
static std::shared_ptr<op::Constant> get_result_constant(std::shared_ptr<Function> f, size_t pos = 0) {
return ov::as_type_ptr<op::Constant>(f->get_results().at(pos)->input_value(0).get_node_shared_ptr());
}
template <typename T>
static std::vector<T> get_result_constant_data(std::shared_ptr<Function> f, size_t pos) {
auto new_const = get_result_constant(f, pos);
return new_const->cast_vector<T>();
}
void range_test_check(const vector<double>& values_out, const vector<double>& values_expected) {
ASSERT_TRUE(test::all_close_f(values_out, values_expected, MIN_FLOAT_TOLERANCE_BITS));
}
void range_test_check(const vector<float>& values_out, const vector<float>& values_expected) {
ASSERT_TRUE(test::all_close_f(values_out, values_expected, MIN_FLOAT_TOLERANCE_BITS));
}
template <typename T>
typename std::enable_if<std::is_integral<T>::value>::type range_test_check(const vector<T>& values_out,
const vector<T>& values_expected) {
ASSERT_EQ(values_out, values_expected);
}
std::ostream& operator<<(std::ostream& os, const std::vector<std::string>& s) {
os << "[";
for (auto it = s.begin(); it != s.end(); ++it) {
if (it != s.begin()) {
os << ", " << *it;
} else {
os << *it;
}
}
os << "]";
return os;
}
void run_constant_folding(std::shared_ptr<ov::Model>& model) {
pass::Manager pass_manager;
pass_manager.register_pass<ov::pass::InitNodeInfo>();
pass_manager.register_pass<pass::ConstantFolding>();
pass_manager.run_passes(model);
}
static void check_names(const std::shared_ptr<ov::Node>& node,
const std::vector<std::string>& expected_fused_names,
const std::string expected_name = "test",
bool exact = true) {
EXPECT_TRUE(node);
// Check node name
ASSERT_EQ(node->get_friendly_name(), expected_name);
// Check fused name
ASSERT_TRUE(!expected_fused_names.empty());
std::vector<std::string> fused_names = ov::getFusedNamesVector(node);
if (exact) {
std::vector<std::string> expected_sorted = expected_fused_names;
std::sort(fused_names.begin(), fused_names.end());
std::sort(expected_sorted.begin(), expected_sorted.end());
bool is_equal = std::equal(fused_names.begin(), fused_names.end(), expected_sorted.begin());
std::stringstream ss;
if (!is_equal) {
ss << "Expected names are not matched to the fused names. Expected '" << expected_fused_names
<< "' but actually received '" << fused_names << "'";
}
ASSERT_TRUE(is_equal) << ss.str();
} else {
bool is_expected_name_missed = false;
for (auto& name : expected_fused_names) {
if (std::find(fused_names.begin(), fused_names.end(), name) == fused_names.end()) {
is_expected_name_missed = true;
break;
}
}
std::stringstream ss;
if (is_expected_name_missed) {
ss << "Not all expected names are found in fused names. Expected '" << expected_fused_names
<< "' but actually received '" << fused_names << "'";
}
ASSERT_FALSE(is_expected_name_missed) << ss.str();
}
}
TEST(constant_folding, acosh) {
Shape shape_in{2, 4, 1};
vector<float> values_in{0, 1, 2, 3, 4, 5, 6, 7};
vector<float> expected;
for (float f : values_in) {
expected.push_back(std::acosh(f));
}
auto constant = make_shared<op::Constant>(element::f32, shape_in, values_in);
constant->set_friendly_name("constant");
auto acosh = make_shared<op::Acosh>(constant);
acosh->set_friendly_name("test");
auto f = make_shared<Function>(acosh, ParameterVector{});
run_constant_folding(f);
EXPECT_EQ(count_ops_of_type<op::Acosh>(f), 0);
EXPECT_EQ(count_ops_of_type<op::Constant>(f), 1);
ASSERT_EQ(f->get_results().size(), 1);
auto new_const = get_result_constant(f);
EXPECT_TRUE(new_const);
check_names(new_const, {"constant", "test"});
auto values_out = new_const->get_vector<float>();
EXPECT_TRUE(test::all_close_f(expected, values_out, MIN_FLOAT_TOLERANCE_BITS));
}
TEST(constant_folding, asinh) {
Shape shape_in{2, 4, 1};
vector<float> values_in{0, 1, 2, 3, 4, 5, 6, 7};
vector<float> expected;
for (float f : values_in) {
expected.push_back(std::asinh(f));
}
auto constant = make_shared<op::Constant>(element::f32, shape_in, values_in);
constant->set_friendly_name("constant");
auto asinh = make_shared<op::Asinh>(constant);
asinh->set_friendly_name("test");
auto f = make_shared<Function>(asinh, ParameterVector{});
run_constant_folding(f);
EXPECT_EQ(count_ops_of_type<op::Asinh>(f), 0);
EXPECT_EQ(count_ops_of_type<op::Constant>(f), 1);
ASSERT_EQ(f->get_results().size(), 1);
auto new_const = get_result_constant(f);
EXPECT_TRUE(new_const);
check_names(new_const, {"constant", "test"});
auto values_out = new_const->get_vector<float>();
EXPECT_TRUE(test::all_close_f(expected, values_out, MIN_FLOAT_TOLERANCE_BITS));
}
TEST(constant_folding, atanh) {
Shape shape_in{2, 4, 1};
vector<float> values_in{0, 1, 2, 3, 4, 5, 6, 7};
vector<float> expected;
for (float f : values_in) {
expected.push_back(std::atanh(f));
}
auto constant = make_shared<op::Constant>(element::f32, shape_in, values_in);
constant->set_friendly_name("constant");
auto atanh = make_shared<op::Atanh>(constant);
atanh->set_friendly_name("test");
auto f = make_shared<Function>(atanh, ParameterVector{});
run_constant_folding(f);
EXPECT_EQ(count_ops_of_type<op::Atanh>(f), 0);
EXPECT_EQ(count_ops_of_type<op::Constant>(f), 1);
ASSERT_EQ(f->get_results().size(), 1);
auto new_const = get_result_constant(f);
EXPECT_TRUE(new_const);
check_names(new_const, {"constant", "test"});
auto values_out = new_const->get_vector<float>();
EXPECT_TRUE(test::all_close_f(expected, values_out, MIN_FLOAT_TOLERANCE_BITS));
}
TEST(constant_folding, constant_squeeze) {
Shape shape_in{2, 4, 1};
Shape shape_out{2, 4};
Shape axes_shape{1};
vector<float> values_in{0, 1, 2, 3, 4, 5, 6, 7};
auto constant = make_shared<op::Constant>(element::f32, shape_in, values_in);
constant->set_friendly_name("constant");
vector<int64_t> values_axes{2};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto squeeze = make_shared<op::Squeeze>(constant, constant_axes);
squeeze->set_friendly_name("test");
auto f = make_shared<Function>(squeeze, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::Squeeze>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
EXPECT_TRUE(new_const);
check_names(new_const, {"constant", "constant_axes", "test"});
ASSERT_EQ(new_const->get_shape(), shape_out);
auto values_out = new_const->get_vector<float>();
ASSERT_TRUE(test::all_close_f(values_in, values_out, MIN_FLOAT_TOLERANCE_BITS));
}
TEST(constant_folding, constant_unsqueeze) {
Shape shape_in{2, 4};
Shape shape_out{2, 4, 1, 1};
Shape axes_shape{2};
vector<float> values_in{0, 1, 2, 3, 4, 5, 6, 7};
auto constant = make_shared<op::Constant>(element::f32, shape_in, values_in);
constant->set_friendly_name("constant");
vector<int64_t> values_axes{2, 3};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto unsqueeze = make_shared<op::v0::Unsqueeze>(constant, constant_axes);
unsqueeze->set_friendly_name("test");
auto f = make_shared<Function>(unsqueeze, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v0::Unsqueeze>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "constant_axes", "test"});
ASSERT_EQ(new_const->get_shape(), shape_out);
auto values_out = new_const->get_vector<float>();
ASSERT_TRUE(test::all_close_f(values_in, values_out, MIN_FLOAT_TOLERANCE_BITS));
}
TEST(constant_folding, constant_broadcast_v1) {
vector<int32_t> values_in{0, 1};
auto constant_in = make_shared<op::Constant>(element::i32, Shape{2}, values_in);
constant_in->set_friendly_name("constant_in");
vector<int64_t> shape_in{2, 4};
auto constant_shape = make_shared<op::Constant>(element::i64, Shape{2}, shape_in);
constant_shape->set_friendly_name("constant_shape");
vector<int64_t> axes_in{0};
auto constant_axes = make_shared<op::Constant>(element::i64, Shape{1}, axes_in);
constant_axes->set_friendly_name("constant_axes");
auto broadcast_v1 = make_shared<op::v1::Broadcast>(constant_in, constant_shape, constant_axes);
broadcast_v1->set_friendly_name("test");
auto f = make_shared<Function>(broadcast_v1, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::Broadcast>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant_in", "constant_shape", "constant_axes", "test"});
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{0, 0, 0, 0, 1, 1, 1, 1};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, constant_broadcast_v1_with_target_shape) {
vector<int32_t> values_in{1};
auto constant_in = make_shared<op::Constant>(element::i32, Shape{1, 1, 1, 1}, values_in);
constant_in->set_friendly_name("constant_in");
vector<int64_t> shape_in{1, 3, 1, 1};
auto target_shape = make_shared<op::Constant>(element::i64, Shape{4}, shape_in);
target_shape->set_friendly_name("target_shape");
auto broadcast_v1 = make_shared<op::v1::Broadcast>(constant_in, target_shape);
broadcast_v1->set_friendly_name("test");
auto f = make_shared<Function>(broadcast_v1, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::Broadcast>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant_in", "target_shape", "test"}, "test", false);
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{1, 1, 1};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, constant_broadcast_v1_numpy) {
vector<int32_t> values_in{0, 1};
auto constant_in = make_shared<op::Constant>(element::i32, Shape{2}, values_in);
constant_in->set_friendly_name("constant_in");
vector<int64_t> shape_in{4, 2};
auto constant_shape = make_shared<op::Constant>(element::i64, Shape{2}, shape_in);
constant_shape->set_friendly_name("constant_shape");
auto broadcast_v1 = make_shared<op::v1::Broadcast>(constant_in, constant_shape);
broadcast_v1->set_friendly_name("test");
auto f = make_shared<Function>(broadcast_v1, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::Broadcast>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant_in", "constant_shape", "test"}, "test", false);
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{0, 1, 0, 1, 0, 1, 0, 1};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, constant_unary_binary) {
vector<int> values_a{1, 2, 3, 4};
vector<int> values_b{1, 2, 3, 4};
vector<int> values_c{-1, -1, -1, -1};
vector<int> values_d{1, 4, 9, 16};
vector<int> values_e{5, 6};
vector<int> values_f{0, 10};
vector<int> values_g{1, 4};
vector<char> values_h{0, 0, 1, 1};
vector<char> values_i{0, 1};
vector<int8_t> values_j{-3, 5};
vector<uint8_t> values_k{3, 5};
auto a = make_shared<op::Constant>(element::i32, Shape{2, 2}, values_a);
a->set_friendly_name("a");
auto b = make_shared<op::Constant>(element::i32, Shape{2, 2}, values_b);
b->set_friendly_name("b");
auto c = make_shared<op::Constant>(element::i32, Shape{2, 2}, values_c);
c->set_friendly_name("c");
auto d = make_shared<op::Constant>(element::i32, Shape{2, 2}, values_d);
d->set_friendly_name("d");
auto e = make_shared<op::Constant>(element::i32, Shape{2}, values_e);
e->set_friendly_name("e");
auto f = make_shared<op::Constant>(element::i32, Shape{2}, values_f);
f->set_friendly_name("f");
auto g = make_shared<op::Constant>(element::i32, Shape{2}, values_g);
g->set_friendly_name("g");
auto h = make_shared<op::Constant>(element::boolean, Shape{2, 2}, values_h);
h->set_friendly_name("h");
auto i = make_shared<op::Constant>(element::boolean, Shape{2}, values_i);
i->set_friendly_name("i");
auto j = make_shared<op::Constant>(element::i8, Shape{2}, values_j);
j->set_friendly_name("j");
auto k = make_shared<op::Constant>(element::u8, Shape{2}, values_k);
k->set_friendly_name("k");
auto doubles = make_shared<op::Constant>(element::f64, Shape{2}, std::vector<double>{4.0, 9.0});
doubles->set_friendly_name("doubles");
auto doubles2 = make_shared<op::Constant>(element::f64, Shape{2}, std::vector<double>{4.0, 1.0});
doubles2->set_friendly_name("doubles2");
auto shorts = make_shared<op::Constant>(element::i16, Shape{3}, std::vector<int16_t>{14, -3, -3});
shorts->set_friendly_name("shorts");
auto shorts2 = make_shared<op::Constant>(element::i16, Shape{1}, std::vector<int16_t>{-3});
shorts2->set_friendly_name("shorts2");
auto unsigned_shorts = make_shared<op::Constant>(element::u16, Shape{3}, std::vector<uint16_t>{14, 300, 14});
unsigned_shorts->set_friendly_name("unsigned_shorts");
auto unsigned_shorts2 = make_shared<op::Constant>(element::u16, Shape{1}, std::vector<uint16_t>{300});
unsigned_shorts2->set_friendly_name("unsigned_shorts2");
auto add = make_shared<op::v1::Add>(a, b);
add->set_friendly_name("add");
auto sub = make_shared<op::v1::Subtract>(a, b);
sub->set_friendly_name("sub");
auto mul = make_shared<op::v1::Multiply>(a, b);
mul->set_friendly_name("mul");
auto divn = make_shared<op::v1::Divide>(a, b);
divn->set_friendly_name("divn");
auto pow = make_shared<op::v1::Power>(a, b);
pow->set_friendly_name("pow");
auto min = make_shared<op::v1::Minimum>(c, a);
min->set_friendly_name("min");
auto max = make_shared<op::v1::Maximum>(a, c);
max->set_friendly_name("max");
auto absn = make_shared<op::Abs>(c);
absn->set_friendly_name("absn");
auto neg = make_shared<op::Negative>(c);
neg->set_friendly_name("neg");
auto sqrt = make_shared<op::Sqrt>(d);
sqrt->set_friendly_name("sqrt");
auto add_autob_numpy = make_shared<op::v1::Add>(a, e, op::AutoBroadcastType::NUMPY);
add_autob_numpy->set_friendly_name("add_autob_numpy");
auto sub_autob_numpy = make_shared<op::v1::Subtract>(a, e, op::AutoBroadcastType::NUMPY);
sub_autob_numpy->set_friendly_name("sub_autob_numpy");
auto mul_autob_numpy = make_shared<op::v1::Multiply>(a, e, op::AutoBroadcastType::NUMPY);
mul_autob_numpy->set_friendly_name("mul_autob_numpy");
auto div_autob_numpy = make_shared<op::v1::Divide>(a, g, op::AutoBroadcastType::NUMPY);
div_autob_numpy->set_friendly_name("div_autob_numpy");
auto pow_autob_numpy = make_shared<op::v1::Power>(a, g, op::AutoBroadcastType::NUMPY);
pow_autob_numpy->set_friendly_name("pow_autob_numpy");
auto min_autob_numpy = make_shared<op::v1::Minimum>(a, f, op::AutoBroadcastType::NUMPY);
min_autob_numpy->set_friendly_name("min_autob_numpy");
auto max_autob_numpy = make_shared<op::v1::Maximum>(a, f, op::AutoBroadcastType::NUMPY);
max_autob_numpy->set_friendly_name("max_autob_numpy");
auto equal_autob_numpy = make_shared<op::v1::Equal>(a, g, op::AutoBroadcastType::NUMPY);
equal_autob_numpy->set_friendly_name("equal_autob_numpy");
auto not_equal_autob_numpy = make_shared<op::v1::NotEqual>(a, g, op::AutoBroadcastType::NUMPY);
not_equal_autob_numpy->set_friendly_name("not_equal_autob_numpy");
auto greater_autob_numpy = make_shared<op::v1::Greater>(a, g, op::AutoBroadcastType::NUMPY);
greater_autob_numpy->set_friendly_name("greater_autob_numpy");
auto greater_eq_autob_numpy = make_shared<op::v1::GreaterEqual>(a, g, op::AutoBroadcastType::NUMPY);
greater_eq_autob_numpy->set_friendly_name("greater_eq_autob_numpy");
auto less_autob_numpy = make_shared<op::v1::Less>(a, g, op::AutoBroadcastType::NUMPY);
less_autob_numpy->set_friendly_name("less_autob_numpy");
auto less_eq_autob_numpy = make_shared<op::v1::LessEqual>(a, g, op::AutoBroadcastType::NUMPY);
less_eq_autob_numpy->set_friendly_name("less_eq_autob_numpy");
auto logical_or_autob_numpy = make_shared<op::v1::LogicalOr>(h, i, op::AutoBroadcastType::NUMPY);
logical_or_autob_numpy->set_friendly_name("logical_or_autob_numpy");
auto logical_xor_autob_numpy = make_shared<op::Xor>(h, i, op::AutoBroadcastType::NUMPY);
logical_xor_autob_numpy->set_friendly_name("logical_xor_autob_numpy");
auto doubles_sqrt = make_shared<op::Sqrt>(doubles);
doubles_sqrt->set_friendly_name("doubles_sqrt");
auto sub_int8 = make_shared<op::v1::Subtract>(j, j);
sub_int8->set_friendly_name("sub_int8");
auto sub_uint8 = make_shared<op::v1::Subtract>(k, k);
sub_uint8->set_friendly_name("sub_uint8");
auto equal_doubles = make_shared<op::v1::Equal>(doubles, doubles2, op::AutoBroadcastType::NUMPY);
equal_doubles->set_friendly_name("equal_doubles");
auto equal_shorts = make_shared<op::v1::Equal>(shorts, shorts2, op::AutoBroadcastType::NUMPY);
equal_shorts->set_friendly_name("equal_shorts");
auto equal_unsigned_shorts =
make_shared<op::v1::Equal>(unsigned_shorts, unsigned_shorts2, op::AutoBroadcastType::NUMPY);
equal_unsigned_shorts->set_friendly_name("equal_unsigned_shorts");
auto neg_sqrt = make_shared<op::Sqrt>(c);
neg_sqrt->set_friendly_name("neg_sqrt");
auto func = make_shared<Function>(NodeVector{add,
sub,
mul,
divn,
pow,
min,
max,
absn,
neg,
sqrt,
add_autob_numpy,
sub_autob_numpy,
mul_autob_numpy,
div_autob_numpy,
pow_autob_numpy,
min_autob_numpy,
max_autob_numpy,
equal_autob_numpy,
not_equal_autob_numpy,
greater_autob_numpy,
greater_eq_autob_numpy,
less_autob_numpy,
less_eq_autob_numpy,
logical_or_autob_numpy,
logical_xor_autob_numpy,
doubles_sqrt,
sub_int8,
sub_uint8,
equal_doubles,
equal_shorts,
equal_unsigned_shorts},
ParameterVector{});
auto func_error = make_shared<Function>(NodeVector{neg_sqrt}, ParameterVector{});
run_constant_folding(func);
// expected values
vector<int> add_expected{2, 4, 6, 8};
vector<int> sub_expected{0, 0, 0, 0};
vector<int> mul_expected{1, 4, 9, 16};
vector<int> div_expected{1, 1, 1, 1};
vector<int> pow_expected{1, 4, 27, 256};
vector<int> min_expected{-1, -1, -1, -1};
vector<int> max_expected{1, 2, 3, 4};
vector<int> abs_neg_expected{1, 1, 1, 1};
vector<int> sqrt_expected{1, 2, 3, 4};
vector<int> add_autob_numpy_expected{6, 8, 8, 10};
vector<int> sub_autob_numpy_expected{-4, -4, -2, -2};
vector<int> mul_autob_numpy_expected{5, 12, 15, 24};
vector<int> div_autob_numpy_expected{1, 0, 3, 1};
vector<int> pow_autob_numpy_expected{1, 16, 3, 256};
vector<int> min_autob_numpy_expected{0, 2, 0, 4};
vector<int> max_autob_numpy_expected{1, 10, 3, 10};
vector<char> equal_autob_numpy_expected{1, 0, 0, 1};
vector<char> not_equal_autob_numpy_expected{0, 1, 1, 0};
vector<char> greater_autob_numpy_expected{0, 0, 1, 0};
vector<char> greater_eq_autob_numpy_expected{1, 0, 1, 1};
vector<char> less_autob_numpy_expected{0, 1, 0, 0};
vector<char> less_eq_autob_numpy_expected{1, 1, 0, 1};
vector<char> logical_or_autob_numpy_expected{0, 1, 1, 1};
vector<char> logical_xor_autob_numpy_expected{0, 1, 1, 0};
vector<double> doubles_sqrt_expected{2.0, 3.0};
vector<int8_t> sub_int8_expected{0, 0};
vector<uint8_t> sub_uint8_expected{0, 0};
vector<char> equal_doubles_expected{1, 0};
vector<char> equal_shorts_expected{0, 1, 1};
vector<char> equal_unsigned_shorts_expected{0, 1, 0};
size_t index = 0;
ASSERT_EQ(get_result_constant_data<int>(func, index), add_expected);
check_names(get_result_constant(func, index++), {"a", "b", "add"}, "add");
ASSERT_EQ(get_result_constant_data<int>(func, index), sub_expected);
check_names(get_result_constant(func, index++), {"a", "b", "sub"}, "sub");
ASSERT_EQ(get_result_constant_data<int>(func, index), mul_expected);
check_names(get_result_constant(func, index++), {"a", "b", "mul"}, "mul");
ASSERT_EQ(get_result_constant_data<int>(func, index), div_expected);
check_names(get_result_constant(func, index++), {"a", "b", "divn"}, "divn");
ASSERT_EQ(get_result_constant_data<int>(func, index), pow_expected);
check_names(get_result_constant(func, index++), {"a", "b", "pow"}, "pow");
ASSERT_EQ(get_result_constant_data<int>(func, index), min_expected);
check_names(get_result_constant(func, index++), {"c", "a", "min"}, "min");
ASSERT_EQ(get_result_constant_data<int>(func, index), max_expected);
check_names(get_result_constant(func, index++), {"a", "c", "max"}, "max");
ASSERT_EQ(get_result_constant_data<int>(func, index), abs_neg_expected);
check_names(get_result_constant(func, index++), {"c", "absn"}, "absn");
ASSERT_EQ(get_result_constant_data<int>(func, index), abs_neg_expected);
check_names(get_result_constant(func, index++), {"c", "neg"}, "neg");
ASSERT_EQ(get_result_constant_data<int>(func, index), sqrt_expected);
check_names(get_result_constant(func, index++), {"d", "sqrt"}, "sqrt");
ASSERT_EQ(get_result_constant_data<int>(func, index), add_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "e", "add_autob_numpy"}, "add_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), sub_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "e", "sub_autob_numpy"}, "sub_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), mul_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "e", "mul_autob_numpy"}, "mul_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), div_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "div_autob_numpy"}, "div_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), pow_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "pow_autob_numpy"}, "pow_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), min_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "f", "min_autob_numpy"}, "min_autob_numpy");
ASSERT_EQ(get_result_constant_data<int>(func, index), max_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "f", "max_autob_numpy"}, "max_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), equal_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "equal_autob_numpy"}, "equal_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), not_equal_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "not_equal_autob_numpy"}, "not_equal_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), greater_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "greater_autob_numpy"}, "greater_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), greater_eq_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "greater_eq_autob_numpy"}, "greater_eq_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), less_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "less_autob_numpy"}, "less_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), less_eq_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"a", "g", "less_eq_autob_numpy"}, "less_eq_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), logical_or_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"h", "i", "logical_or_autob_numpy"}, "logical_or_autob_numpy");
ASSERT_EQ(get_result_constant_data<char>(func, index), logical_xor_autob_numpy_expected);
check_names(get_result_constant(func, index++), {"h", "i", "logical_xor_autob_numpy"}, "logical_xor_autob_numpy");
ASSERT_EQ(get_result_constant_data<double>(func, index), doubles_sqrt_expected);
check_names(get_result_constant(func, index++), {"doubles", "doubles_sqrt"}, "doubles_sqrt");
ASSERT_EQ(get_result_constant_data<int8_t>(func, index), sub_int8_expected);
check_names(get_result_constant(func, index++), {"j", "sub_int8"}, "sub_int8");
ASSERT_EQ(get_result_constant_data<uint8_t>(func, index), sub_uint8_expected);
check_names(get_result_constant(func, index++), {"k", "sub_uint8"}, "sub_uint8");
ASSERT_EQ(get_result_constant_data<char>(func, index), equal_doubles_expected);
check_names(get_result_constant(func, index++), {"doubles", "doubles2", "equal_doubles"}, "equal_doubles");
ASSERT_EQ(get_result_constant_data<char>(func, index), equal_shorts_expected);
check_names(get_result_constant(func, index++), {"shorts", "shorts2", "equal_shorts"}, "equal_shorts");
ASSERT_EQ(get_result_constant_data<char>(func, index), equal_unsigned_shorts_expected);
check_names(get_result_constant(func, index++),
{"unsigned_shorts", "unsigned_shorts2", "equal_unsigned_shorts"},
"equal_unsigned_shorts");
pass::Manager pass_manager;
ASSERT_NO_THROW(pass_manager.run_passes(func_error));
}
template <element::Type_t from, element::Type_t to, typename T, typename U>
static void test_const_convert(const vector<T>& values_in, const vector<U>& values_expected) {
auto constant = op::Constant::create(from, Shape{values_in.size()}, values_in);
constant->set_friendly_name("constant");
auto convert = make_shared<op::Convert>(constant, to);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::Convert>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "test"});
ASSERT_EQ(new_const->get_output_element_type(0), to);
auto values_out = new_const->template cast_vector<U>();
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, const_convert) {
{
vector<float> in{1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7};
vector<uint64_t> expected{1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7};
test_const_convert<element::f32, element::u64>(in, expected);
}
{
vector<bool> in{false, true, true, false, false, false, true};
vector<float> expected{0.0f, 1.0f, 1.0f, 0.0f, 0.0f, 0.0f, 1.0f};
test_const_convert<element::boolean, element::f32>(in, expected);
}
{
vector<float> in{1.0f, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f, 1.0f};
vector<bool> expected{true, false, true, false, true, false, true};
test_const_convert<element::f32, element::boolean>(in, expected);
}
{
vector<int64_t> in{1, 2, 3, 4, 5};
vector<double> expected{1.0, 2.0, 3.0, 4.0, 5.0};
test_const_convert<element::i64, element::f64>(in, expected);
}
{
vector<double> in{1.2, 2.1, 3.3, 4.45, 5.02};
vector<int64_t> expected{1, 2, 3, 4, 5};
test_const_convert<element::f64, element::i64>(in, expected);
}
{
vector<int8_t> in{7, 0, 1, 2, 3, 4, 5, -1, -2, -8};
vector<float> expected{7, 0, 1, 2, 3, 4, 5, -1, -2, -8};
test_const_convert<element::i4, element::f32>(in, expected);
}
{
vector<float> in{9, 0, 1, 2, 3, 4, 5, -1, -2, -10};
vector<int8_t> expected{-7, 0, 1, 2, 3, 4, 5, -1, -2, 6};
test_const_convert<element::f32, element::i4>(in, expected);
}
{
vector<int8_t> in{-128, -2, 0, 1, 3, 127};
vector<float> expected{-128, -2, 0, 1, 3, 127};
test_const_convert<element::i8, element::f32>(in, expected);
}
{
vector<uint8_t> in{0, 1, 3, 127, 255};
vector<float> expected{0, 1, 3, 127, 255};
test_const_convert<element::u8, element::f32>(in, expected);
}
{
vector<float> in{-300, -128, -1, 0, 33, 127, 128};
vector<int8_t> expected{-44, -128, -1, 0, 33, 127, -128};
test_const_convert<element::f32, element::i8>(in, expected);
}
{
vector<float> in{0, 33, 127, 255, 256};
vector<uint8_t> expected{0, 33, 127, 255, 0};
test_const_convert<element::f32, element::u8>(in, expected);
}
}
TEST(constant_folding, shape_of_v0) {
Shape input_shape{3, 4, 0, 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
param->set_friendly_name("param");
auto shape_of = make_shared<op::v0::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v0::ShapeOf>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"test"});
ASSERT_EQ(new_const->get_output_element_type(0), element::i64);
auto values_out = new_const->get_vector<int64_t>();
ASSERT_EQ((vector<int64_t>{3, 4, 0, 22, 608, 909, 3}), values_out);
}
TEST(constant_folding, shape_of_v3) {
Shape input_shape{3, 4, 0, 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
param->set_friendly_name("param");
auto shape_of = make_shared<op::v3::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v3::ShapeOf>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"test"});
ASSERT_EQ(new_const->get_output_element_type(0), element::i64);
auto values_out = new_const->get_vector<int64_t>();
ASSERT_EQ((vector<int64_t>{3, 4, 0, 22, 608, 909, 3}), values_out);
}
TEST(constant_folding, shape_of_i32_v3) {
Shape input_shape{3, 4, 0, 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
param->set_friendly_name("param");
auto shape_of = make_shared<op::v3::ShapeOf>(param, element::i32);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v3::ShapeOf>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"test"});
ASSERT_EQ(new_const->get_output_element_type(0), element::i32);
auto values_out = new_const->get_vector<int32_t>();
ASSERT_EQ((vector<int32_t>{3, 4, 0, 22, 608, 909, 3}), values_out);
}
TEST(constant_folding, shape_of_dynamic_v0) {
PartialShape input_shape{3, 4, Dimension::dynamic(), 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v0::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(f->get_ops().size(), 3);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
TEST(constant_folding, shape_of_dynamic_v3) {
PartialShape input_shape{3, 4, Dimension::dynamic(), 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v3::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(f->get_ops().size(), 3);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
TEST(constant_folding, shape_of_dynamic_i32_v3) {
PartialShape input_shape{3, 4, Dimension::dynamic(), 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v3::ShapeOf>(param, element::i32);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(f->get_ops().size(), 3);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
// We need to be sure that constant folding won't be calculated endlessly.
TEST(constant_folding, shape_of_dynamic_double_folding_v0) {
PartialShape input_shape{3, 4, Dimension::dynamic(), 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v0::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(f->get_ops().size(), 3);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
TEST(constant_folding, shape_of_dynamic_double_folding_v3) {
PartialShape input_shape{3, 4, Dimension::dynamic(), 22, 608, 909, 3};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v3::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(f->get_ops().size(), 3);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
// Constant folding will not succeed on ShapeOf if the argument rank is dynamic.
// We want to make sure it fails gracefully, leaving the ShapeOf op in place.
TEST(constant_folding, shape_of_rank_dynamic_v0) {
PartialShape input_shape{PartialShape::dynamic()};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v0::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v0::ShapeOf>(f), 1);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 0);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
TEST(constant_folding, shape_of_rank_dynamic_v3) {
PartialShape input_shape{PartialShape::dynamic()};
auto param = make_shared<op::Parameter>(element::boolean, input_shape);
auto shape_of = make_shared<op::v3::ShapeOf>(param);
shape_of->set_friendly_name("test");
auto f = make_shared<Function>(shape_of, ParameterVector{param});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v3::ShapeOf>(f), 1);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 0);
auto result_shape_of = f->get_results().at(0)->get_input_node_shared_ptr(0);
ASSERT_EQ(result_shape_of, shape_of);
check_names(result_shape_of, {"test"});
}
void const_reverse(const element::Type& axes_elem_type) {
Shape input_shape{3, 3};
vector<int32_t> values_in{1, 2, 3, 4, 5, 6, 7, 8, 9};
auto constant = op::Constant::create(element::i32, input_shape, values_in);
constant->set_friendly_name("constant");
auto axes = op::Constant::create(axes_elem_type, {1}, {1});
axes->set_friendly_name("axes");
auto convert = make_shared<op::v1::Reverse>(constant, axes, op::v1::Reverse::Mode::INDEX);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::Reverse>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "axes", "test"});
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{3, 2, 1, 6, 5, 4, 9, 8, 7};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, const_reverse) {
for (auto&& axes_elem_type : {element::i8,
element::u8,
element::i16,
element::u16,
element::i32,
element::u32,
element::i64,
element::u64}) {
const_reverse(axes_elem_type);
}
}
TEST(constant_folding, const_reduceprod) {
Shape input_shape{3, 3};
Shape output_shape{3};
vector<int32_t> values_in{1, 2, 3, 4, 5, 6, 7, 8, 9};
auto constant = op::Constant::create(element::i32, input_shape, values_in);
constant->set_friendly_name("constant");
Shape axes_shape{1};
vector<int32_t> values_axes{1};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto convert = make_shared<op::v1::ReduceProd>(constant, constant_axes);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::ReduceProd>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "constant_axes", "test"});
ASSERT_EQ(new_const->get_shape(), output_shape);
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{6, 120, 504};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, const_reduceprod_keepdims) {
Shape input_shape{3, 3};
Shape output_shape{3, 1};
vector<int32_t> values_in{1, 2, 3, 4, 5, 6, 7, 8, 9};
auto constant = op::Constant::create(element::i32, input_shape, values_in);
constant->set_friendly_name("constant");
Shape axes_shape{1};
vector<int32_t> values_axes{1};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto convert = make_shared<op::v1::ReduceProd>(constant, constant_axes, true);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::ReduceProd>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "constant_axes", "test"});
ASSERT_EQ(new_const->get_shape(), output_shape);
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{6, 120, 504};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, const_reducesum) {
Shape input_shape{3, 3};
Shape output_shape{3};
vector<int32_t> values_in{1, 2, 3, 4, 5, 6, 7, 8, 9};
auto constant = op::Constant::create(element::i32, input_shape, values_in);
constant->set_friendly_name("constant");
Shape axes_shape{1};
vector<int32_t> values_axes{1};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto convert = make_shared<op::v1::ReduceSum>(constant, constant_axes);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);
ASSERT_EQ(count_ops_of_type<op::v1::ReduceSum>(f), 0);
ASSERT_EQ(count_ops_of_type<op::Constant>(f), 1);
auto new_const = get_result_constant(f);
ASSERT_TRUE(new_const);
check_names(new_const, {"constant", "constant_axes", "test"});
ASSERT_EQ(new_const->get_shape(), output_shape);
auto values_out = new_const->get_vector<int32_t>();
vector<int32_t> values_expected{6, 15, 24};
ASSERT_EQ(values_expected, values_out);
}
TEST(constant_folding, const_reducesum_keepdims) {
Shape input_shape{3, 3};
Shape output_shape{3, 1};
vector<int32_t> values_in{1, 2, 3, 4, 5, 6, 7, 8, 9};
auto constant = op::Constant::create(element::i32, input_shape, values_in);
constant->set_friendly_name("constant");
Shape axes_shape{1};
vector<int32_t> values_axes{1};
auto constant_axes = op::Constant::create(element::i64, axes_shape, values_axes);
constant_axes->set_friendly_name("constant_axes");
auto convert = make_shared<op::v1::ReduceSum>(constant, constant_axes, true);
convert->set_friendly_name("test");
auto f = make_shared<Function>(convert, ParameterVector{});
run_constant_folding(f);