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//
// 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/components/scoring_cpu_util.h"
#include <cmath>
#include <vector>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "absl/types/span.h" // from @com_google_absl
#include "runtime/util/test_utils.h" // NOLINT
namespace litert::lm {
namespace {
TEST(ScoringCpuUtilTest, ComputeLogLikelihood_InvalidSampledId) {
const std::vector<float> logits = {0.0, 0.0, 0.3};
const std::vector<int> sampled_ids = {12};
auto batchconfidence = ComputeLogLikelihood(absl::MakeConstSpan(logits),
absl::MakeConstSpan(sampled_ids),
/*temperature=*/1.0);
EXPECT_FALSE(batchconfidence.ok());
}
TEST(ScoringCpuUtilTest, ComputeLogLikelihood_BatchSize1) {
const std::vector<float> logits = {0.0, 0.0, 0.3};
const std::vector<int> sampled_ids = {2};
auto batchconfidence = ComputeLogLikelihood(absl::MakeConstSpan(logits),
absl::MakeConstSpan(sampled_ids),
/*temperature=*/1.0);
ASSERT_OK(batchconfidence);
EXPECT_THAT(*batchconfidence,
testing::ElementsAre(testing::FloatNear(
std::log(exp(0.3f) / (2 + std::exp(0.3f))), 1e-6f)));
}
TEST(ScoringCpuUtilTest, ComputeLogLikelihood_BatchSize2) {
std::vector<float> logits = {0.0, 0.0, 0.3, 0.0, 0.7, 0.0};
std::vector<int> sampled_ids = {2, 1};
auto batchconfidence = ComputeLogLikelihood(absl::MakeConstSpan(logits),
absl::MakeConstSpan(sampled_ids),
/*temperature=*/1.0);
EXPECT_TRUE(batchconfidence.ok());
EXPECT_THAT(
*batchconfidence,
testing::ElementsAre(
testing::FloatNear(std::log(exp(0.3f) / (2 + std::exp(0.3f))), 1e-6f),
testing::FloatNear(std::log(exp(0.7f) / (2 + std::exp(0.7f))),
1e-6f)));
}
TEST(ScoringCpuUtilTest, ComputeLogLikelihood_BatchSize2_OneStreamEnded) {
std::vector<float> logits = {0.0, 0.0, 0.3, 0.0, 0.7, 0.0};
std::vector<int> sampled_ids = {2, 0};
auto batchconfidence = ComputeLogLikelihood(absl::MakeConstSpan(logits),
absl::MakeConstSpan(sampled_ids),
/*temperature=*/1.0);
EXPECT_TRUE(batchconfidence.ok());
// Ignore the second token as it has ended.
EXPECT_THAT(
(*batchconfidence)[0],
testing::FloatNear(std::log(exp(0.3f) / (2 + std::exp(0.3f))), 1e-6f));
}
} // namespace
} // namespace litert::lm
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