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5f923cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | // Copyright 2026 The ODML Authors.
//
// 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 "runtime/util/log_tensor_buffer.h"
#include <cstdint>
#include <fstream>
#include <string>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "litert/cc/litert_element_type.h" // from @litert
#include "litert/cc/litert_layout.h" // from @litert
#include "litert/cc/litert_ranked_tensor_type.h" // from @litert
#include "litert/cc/litert_tensor_buffer.h" // from @litert
#include "litert/cc/litert_tensor_buffer_types.h" // from @litert
#include "runtime/util/test_utils.h" // IWYU pragma: keep
namespace litert::lm {
namespace {
TEST(LogTensorBufferTest, LogTensor_Float) {
struct alignas(kHostMemoryBufferAlignment) {
float d[5] = {1.1, 2.2, -3.3, 4.4, 5.5};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Float32, Layout(Dimensions({5}))), data.d,
5 * sizeof(float));
ASSERT_TRUE(tensor_buffer.HasValue());
EXPECT_OK(LogTensor(*tensor_buffer, 2, "Float Prefix: "));
}
TEST(LogTensorBufferTest, LogTensor_Int8) {
struct alignas(kHostMemoryBufferAlignment) {
int8_t d[5] = {1, 2, -3, 4, 5};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Int8, Layout(Dimensions({5}))), data.d,
5 * sizeof(int8_t));
ASSERT_TRUE(tensor_buffer.HasValue());
EXPECT_OK(LogTensor(*tensor_buffer, 5, "Int8 Prefix: "));
}
TEST(LogTensorBufferTest, LogTensor_Bool) {
struct alignas(kHostMemoryBufferAlignment) {
bool d[3] = {true, false, true};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Bool, Layout(Dimensions({3}))), data.d,
3 * sizeof(bool));
ASSERT_TRUE(tensor_buffer.HasValue());
EXPECT_OK(LogTensor(*tensor_buffer, 3, "Bool Prefix: "));
}
TEST(LogTensorBufferTest, DumpTensorToCsv_Float) {
struct alignas(kHostMemoryBufferAlignment) {
float d[5] = {1.1, 2.2, -3.3, 4.4, 5.5};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Float32, Layout(Dimensions({5}))), data.d,
5 * sizeof(float));
ASSERT_TRUE(tensor_buffer.HasValue());
std::string filename = testing::TempDir() + "/test_float.csv";
EXPECT_OK(DumpTensorToCsv(*tensor_buffer, filename));
std::ifstream f(filename);
std::string line;
ASSERT_TRUE(std::getline(f, line));
EXPECT_EQ(line, "1.1,2.2,-3.3,4.4,5.5");
}
TEST(LogTensorBufferTest, DumpTensorToCsv_Int8) {
struct alignas(kHostMemoryBufferAlignment) {
int8_t d[5] = {1, 2, -3, 4, 5};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Int8, Layout(Dimensions({5}))), data.d,
5 * sizeof(int8_t));
ASSERT_TRUE(tensor_buffer.HasValue());
std::string filename = testing::TempDir() + "/test_int8.csv";
EXPECT_OK(DumpTensorToCsv(*tensor_buffer, filename));
std::ifstream f(filename);
std::string line;
ASSERT_TRUE(std::getline(f, line));
EXPECT_EQ(line, "1,2,-3,4,5");
}
TEST(LogTensorBufferTest, DumpTensorToCsv_Bool) {
struct alignas(kHostMemoryBufferAlignment) {
bool d[3] = {true, false, true};
} data;
auto tensor_buffer = TensorBuffer::CreateFromHostMemory(
RankedTensorType(ElementType::Bool, Layout(Dimensions({3}))), data.d,
3 * sizeof(bool));
ASSERT_TRUE(tensor_buffer.HasValue());
std::string filename = testing::TempDir() + "/test_bool.csv";
EXPECT_OK(DumpTensorToCsv(*tensor_buffer, filename));
std::ifstream f(filename);
std::string line;
ASSERT_TRUE(std::getline(f, line));
EXPECT_EQ(line, "1,0,1");
}
} // namespace
} // namespace litert::lm
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