[core]Correct Constant creation from string (#21099)
* Improve Constant creation from string values * Optimize Constant creation from vector<T> binary size reduction * Fix code style * Add tests to check there is no precision los * Fix conversion for string -> integral numbers --------- Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
This commit is contained in:
@@ -70,19 +70,22 @@ public:
|
||||
template <typename T>
|
||||
Constant(const element::Type& type, const Shape& shape, const std::vector<T>& values)
|
||||
: Constant(false, type, shape) {
|
||||
const auto this_shape_size = shape_size(m_shape);
|
||||
const auto values_size = values.size();
|
||||
const auto has_single_value = (values_size == 1);
|
||||
NODE_VALIDATION_CHECK(this,
|
||||
values.size() == 1 || values.size() == shape_size(m_shape),
|
||||
has_single_value || values_size == this_shape_size,
|
||||
"Did not get the expected number of literals for a constant of shape ",
|
||||
m_shape,
|
||||
" (got ",
|
||||
values.size(),
|
||||
values_size,
|
||||
", expected ",
|
||||
(shape_size(m_shape) == 1 ? "" : "1 or "),
|
||||
shape_size(m_shape),
|
||||
(this_shape_size == 1 ? "" : "1 or "),
|
||||
this_shape_size,
|
||||
").");
|
||||
|
||||
if (values.size() == 1) {
|
||||
fill_data(type, values.front());
|
||||
if (has_single_value) {
|
||||
fill_data(type, values[0]);
|
||||
} else {
|
||||
write_values(values);
|
||||
}
|
||||
@@ -890,6 +893,16 @@ private:
|
||||
# pragma GCC diagnostic pop
|
||||
#endif
|
||||
}
|
||||
|
||||
template <class T>
|
||||
void fill_or_write(const bool fill, const element::Type& et, const std::vector<T>& values) {
|
||||
if (fill) {
|
||||
fill_data(et, values[0]);
|
||||
} else {
|
||||
write_values(values);
|
||||
}
|
||||
}
|
||||
|
||||
template <ov::element::Type_t Type,
|
||||
typename ValueT,
|
||||
typename std::enable_if<Type == ov::element::Type_t::u4 || Type == ov::element::Type_t::u4 ||
|
||||
|
||||
@@ -44,12 +44,23 @@ std::string to_cpp_string(T value) {
|
||||
}
|
||||
}
|
||||
|
||||
std::vector<double> from_string_vector(const std::vector<std::string>& str_values) {
|
||||
std::vector<double> values;
|
||||
template <class T, typename std::enable_if<std::is_integral<T>::value>::type* = nullptr>
|
||||
T str_to_value(const std::string& s, size_t* pos) {
|
||||
return static_cast<T>(std::is_signed<T>::value ? std::stoll(s, pos) : std::stoull(s, pos));
|
||||
}
|
||||
|
||||
template <class T, typename std::enable_if<std::is_floating_point<T>::value>::type* = nullptr>
|
||||
T str_to_value(const std::string& s, size_t* pos) {
|
||||
return static_cast<T>(std::stod(s, pos));
|
||||
}
|
||||
|
||||
template <class T>
|
||||
std::vector<T> from_string_vector(const std::vector<std::string>& str_values) {
|
||||
std::vector<T> values;
|
||||
values.reserve(str_values.size());
|
||||
std::transform(str_values.cbegin(), str_values.cend(), std::back_inserter(values), [](const std::string& s) {
|
||||
size_t pos;
|
||||
auto v = std::stold(s, &pos);
|
||||
auto v = str_to_value<T>(s, &pos);
|
||||
OPENVINO_ASSERT(s.size() == pos, "Could not parse literal '", s, "'");
|
||||
return v;
|
||||
});
|
||||
@@ -97,33 +108,30 @@ Constant::Constant(const Tensor& tensor)
|
||||
|
||||
Constant::Constant(const element::Type& type, const Shape& shape, const std::vector<std::string>& values)
|
||||
: Constant(false, type, shape) {
|
||||
const auto this_shape_size = shape_size(m_shape);
|
||||
const auto values_size = values.size();
|
||||
const auto has_single_value = (values_size == 1);
|
||||
NODE_VALIDATION_CHECK(this,
|
||||
values.size() == 1 || values.size() == shape_size(m_shape),
|
||||
has_single_value || values_size == this_shape_size,
|
||||
"Did not get the expected number of literals for a constant of shape ",
|
||||
m_shape,
|
||||
" (got ",
|
||||
values.size(),
|
||||
values_size,
|
||||
", expected ",
|
||||
(shape_size(m_shape) == 1 ? "" : "1 or "),
|
||||
shape_size(m_shape),
|
||||
(this_shape_size == 1 ? "" : "1 or "),
|
||||
this_shape_size,
|
||||
").");
|
||||
const auto is_checked_and_identical = has_single_value && (this_shape_size != 1);
|
||||
|
||||
if (type == element::string) {
|
||||
if (values.size() == 1) {
|
||||
fill_data(type, values.front());
|
||||
} else {
|
||||
write_values(values);
|
||||
}
|
||||
fill_or_write(is_checked_and_identical, type, values);
|
||||
} else if (type.is_real()) {
|
||||
fill_or_write(is_checked_and_identical, type, from_string_vector<double>(values));
|
||||
} else if (type.is_signed()) {
|
||||
fill_or_write(is_checked_and_identical, type, from_string_vector<int64_t>(values));
|
||||
} else {
|
||||
auto parsed_values = from_string_vector(values);
|
||||
if (parsed_values.size() == 1) {
|
||||
fill_data(type, parsed_values.front());
|
||||
} else {
|
||||
write_values(parsed_values);
|
||||
}
|
||||
fill_or_write(is_checked_and_identical, type, from_string_vector<uint64_t>(values));
|
||||
}
|
||||
const auto is_checked_and_identical = (values.size() == 1) && (shape_size(m_shape) != 1);
|
||||
update_identical_flags(is_checked_and_identical, is_checked_and_identical);
|
||||
}
|
||||
|
||||
Constant::Constant(const element::Type& type, const Shape& shape) : Constant(true, type, shape) {}
|
||||
@@ -385,10 +393,11 @@ bool Constant::evaluate(TensorVector& outputs, const TensorVector& inputs) const
|
||||
outputs.emplace_back(m_element_type, m_shape);
|
||||
else
|
||||
outputs[0].set_shape(m_shape);
|
||||
|
||||
if (m_element_type == ov::element::string) {
|
||||
auto num_elements = shape_size(m_shape);
|
||||
const std::string* src_strings = static_cast<const std::string*>(get_data_ptr());
|
||||
std::string* dst_strings = static_cast<std::string*>(outputs[0].data());
|
||||
auto src_strings = static_cast<const std::string*>(get_data_ptr());
|
||||
auto dst_strings = static_cast<std::string*>(outputs[0].data());
|
||||
std::copy_n(src_strings, num_elements, dst_strings);
|
||||
} else {
|
||||
std::memcpy(outputs[0].data(), get_data_ptr(), outputs[0].get_byte_size());
|
||||
|
||||
@@ -701,6 +701,29 @@ TEST(constant, int64_vector_broadcast) {
|
||||
EXPECT_EQ(p[3], 1);
|
||||
}
|
||||
|
||||
TEST(constant, int64_string_max) {
|
||||
Shape shape{4};
|
||||
vector<string> input{"9223372036854775807", "9223372036854775807", "9223372036854775807", "9223372036854775807"};
|
||||
|
||||
constexpr auto exp_value = std::numeric_limits<int64_t>::max();
|
||||
ov::op::v0::Constant c(element::i64, shape, input);
|
||||
auto v = c.get_vector<int64_t>();
|
||||
ASSERT_EQ(v.size(), shape_size(shape));
|
||||
EXPECT_THAT(v, testing::Each(exp_value));
|
||||
|
||||
const auto p = c.get_data_ptr<int64_t>();
|
||||
EXPECT_EQ(p[0], exp_value);
|
||||
EXPECT_EQ(p[1], exp_value);
|
||||
EXPECT_EQ(p[2], exp_value);
|
||||
EXPECT_EQ(p[3], exp_value);
|
||||
|
||||
EXPECT_EQ(input, c.get_value_strings());
|
||||
|
||||
for (unsigned i = 0; i != input.size(); ++i) {
|
||||
EXPECT_EQ(input[i], c.convert_value_to_string(i));
|
||||
}
|
||||
}
|
||||
|
||||
//
|
||||
// uint1
|
||||
//
|
||||
@@ -1184,6 +1207,31 @@ TEST(constant, uint64_vector_broadcast) {
|
||||
EXPECT_EQ(p[3], 1);
|
||||
}
|
||||
|
||||
TEST(constant, uint64_string_max) {
|
||||
Shape shape{4};
|
||||
vector<string> input{"18446744073709551615",
|
||||
"18446744073709551615",
|
||||
"18446744073709551615",
|
||||
"18446744073709551615"};
|
||||
ov::op::v0::Constant c(element::u64, shape, input);
|
||||
constexpr auto exp_value = std::numeric_limits<uint64_t>::max();
|
||||
auto v = c.get_vector<uint64_t>();
|
||||
ASSERT_EQ(v.size(), shape_size(shape));
|
||||
EXPECT_THAT(v, testing::Each(exp_value));
|
||||
|
||||
const auto p = c.get_data_ptr<uint64_t>();
|
||||
EXPECT_EQ(p[0], exp_value);
|
||||
EXPECT_EQ(p[1], exp_value);
|
||||
EXPECT_EQ(p[2], exp_value);
|
||||
EXPECT_EQ(p[3], exp_value);
|
||||
|
||||
EXPECT_EQ(input, c.get_value_strings());
|
||||
|
||||
for (unsigned i = 0; i != input.size(); ++i) {
|
||||
EXPECT_EQ(input[i], c.convert_value_to_string(i));
|
||||
}
|
||||
}
|
||||
|
||||
//
|
||||
// bfloat16
|
||||
//
|
||||
|
||||
Reference in New Issue
Block a user