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ov_tensor_test.cpp
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// Copyright (C) 2018-2025 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "ov_test.hpp"
inline void setup_4d_shape(ov_shape_t* shape, int64_t d0, int64_t d1, int64_t d2, int64_t d3) {
int64_t dims[4] = {d0, d1, d2, d3};
ov_shape_create(4, dims, shape);
}
TEST(ov_tensor, ov_tensor_create) {
ov_element_type_e type = ov_element_type_e::U8;
ov_shape_t shape;
setup_4d_shape(&shape, 10, 20, 30, 40);
ov_tensor_t* tensor = nullptr;
OV_EXPECT_OK(ov_tensor_create(type, shape, &tensor));
EXPECT_NE(nullptr, tensor);
ov_tensor_free(tensor);
ov_shape_free(&shape);
}
TEST(ov_tensor, ov_tensor_create_from_host_ptr) {
ov_element_type_e type = ov_element_type_e::U8;
ov_shape_t shape;
setup_4d_shape(&shape, 1, 3, 4, 4);
uint8_t host_ptr[1][3][4][4] = {{{{0}}}};
ov_tensor_t* tensor = nullptr;
OV_EXPECT_OK(ov_tensor_create_from_host_ptr(type, shape, &host_ptr, &tensor));
EXPECT_NE(nullptr, tensor);
ov_tensor_free(tensor);
ov_shape_free(&shape);
}
TEST(ov_tensor, ov_tensor_create_from_string_array) {
const char* string_array[4] = {"test", "me", "hi", "there"};
ov_tensor_t* tensor = nullptr;
ov_shape_t shape;
const int64_t dims[2] = {2, 2};
ov_shape_create(2, dims, &shape);
OV_EXPECT_OK(ov_tensor_create_from_string_array(string_array, 4, shape, &tensor));
EXPECT_NE(nullptr, tensor);
ov_tensor_free(tensor);
}
static size_t product(const std::vector<size_t>& dims) {
if (dims.empty())
return 0;
return std::accumulate(std::begin(dims), std::end(dims), (size_t)1, std::multiplies<size_t>());
}
inline size_t calculate_size(ov_shape_t shape) {
std::vector<size_t> tmp_shape;
std::copy_n(shape.dims, shape.rank, std::back_inserter(tmp_shape));
return product(tmp_shape);
}
inline size_t calculate_byteSize(ov_shape_t shape, ov_element_type_e type) {
return (calculate_size(shape) * GET_ELEMENT_TYPE_SIZE(type) + 7) >> 3;
}
class ov_tensor_create_test : public ::testing::TestWithParam<ov_element_type_e> {
protected:
void SetUp() override {
ov_element_type_e type = GetParam();
setup_4d_shape(&shape, 10, 20, 30, 40);
tensor = nullptr;
OV_EXPECT_OK(ov_tensor_create(type, shape, &tensor));
EXPECT_NE(nullptr, tensor);
}
void TearDown() override {
ov_shape_free(&shape);
ov_tensor_free(tensor);
}
public:
ov_shape_t shape;
ov_tensor_t* tensor;
};
class ov_string_tensor_create_test : public ::testing::Test {
protected:
void SetUp() override {
tensor = nullptr;
setup_4d_shape(&shape, 4, 1, 1, 1);
OV_EXPECT_OK(ov_tensor_create(ov_element_type_e::STRING, shape, &tensor));
EXPECT_NE(nullptr, tensor);
}
void TearDown() override {
ov_shape_free(&shape);
ov_tensor_free(tensor);
}
ov_shape_t shape;
ov_tensor_t* tensor;
};
INSTANTIATE_TEST_SUITE_P(ov_tensor,
ov_tensor_create_test,
::testing::Values(ov_element_type_e::BOOLEAN,
ov_element_type_e::BF16,
ov_element_type_e::F16,
ov_element_type_e::F32,
ov_element_type_e::F64,
ov_element_type_e::I4,
ov_element_type_e::I8,
ov_element_type_e::I16,
ov_element_type_e::I32,
ov_element_type_e::I64,
ov_element_type_e::U1,
ov_element_type_e::U4,
ov_element_type_e::U8,
ov_element_type_e::U16,
ov_element_type_e::U32,
ov_element_type_e::U64));
TEST_P(ov_tensor_create_test, get_tensor_element_type) {
ov_element_type_e type = GetParam();
ov_element_type_e type_res;
OV_EXPECT_OK(ov_tensor_get_element_type(tensor, &type_res));
EXPECT_EQ(type, type_res);
}
TEST_P(ov_tensor_create_test, get_tensor_size) {
size_t size = calculate_size(shape);
size_t size_res;
OV_EXPECT_OK(ov_tensor_get_size(tensor, &size_res));
EXPECT_EQ(size_res, size);
}
TEST_P(ov_tensor_create_test, get_tensor_byte_size) {
void* data = nullptr;
OV_EXPECT_OK(ov_tensor_data(tensor, &data));
EXPECT_NE(nullptr, data);
}
TEST_P(ov_tensor_create_test, get_tensor_data) {
ov_element_type_e type = GetParam();
size_t size = calculate_byteSize(shape, type);
size_t size_res;
OV_EXPECT_OK(ov_tensor_get_byte_size(tensor, &size_res));
EXPECT_EQ(size_res, size);
}
TEST_P(ov_tensor_create_test, get_tensor_shape) {
ov_shape_t shape_res;
OV_EXPECT_OK(ov_tensor_get_shape(tensor, &shape_res));
EXPECT_EQ(shape.rank, shape_res.rank);
EXPECT_EQ(shape.dims[0], shape_res.dims[0]);
EXPECT_EQ(shape.dims[1], shape_res.dims[1]);
EXPECT_EQ(shape.dims[2], shape_res.dims[2]);
EXPECT_EQ(shape.dims[3], shape_res.dims[3]);
ov_shape_free(&shape_res);
}
TEST_P(ov_tensor_create_test, set_tensor_shape) {
ov_shape_t shape_update;
setup_4d_shape(&shape_update, 16, 16, 16, 16);
OV_EXPECT_OK(ov_tensor_set_shape(tensor, shape_update));
ov_shape_t shape_res;
OV_EXPECT_OK(ov_tensor_get_shape(tensor, &shape_res));
EXPECT_EQ(shape_update.rank, shape_res.rank);
EXPECT_EQ(shape_update.dims[0], shape_res.dims[0]);
EXPECT_EQ(shape_update.dims[1], shape_res.dims[1]);
EXPECT_EQ(shape_update.dims[2], shape_res.dims[2]);
EXPECT_EQ(shape_update.dims[3], shape_res.dims[3]);
ov_shape_free(&shape_update);
ov_shape_free(&shape_res);
}
TEST_F(ov_string_tensor_create_test, set_tensor_string) {
const size_t number_of_strings = 4;
const char* string_array[number_of_strings] = {"hello", "hi", "world", ""};
OV_EXPECT_OK(ov_tensor_set_string_data(tensor, string_array, number_of_strings));
void* output_data = NULL;
ov_tensor_data(tensor, &output_data);
auto string_data = static_cast<std::string*>(output_data);
for (size_t i = 0; i < number_of_strings; ++i) {
const std::string& current_string = string_data[i];
EXPECT_EQ(current_string, std::string(string_array[i]));
}
}