mirror of https://github.com/google/gemma.cpp.git
Update gemma_test to also pass for the v1.1. models.
Make it an error if the model cannot be loaded. PiperOrigin-RevId: 650232602
This commit is contained in:
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6a3f7cf3ea
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cf76f0a401
13
BUILD.bazel
13
BUILD.bazel
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@ -213,19 +213,20 @@ cc_library(
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cc_test(
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name = "gemma_test",
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srcs = ["evals/gemma_test.cc"],
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# Requires model files
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tags = [
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"local",
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"manual",
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"no_tap",
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],
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deps = [
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":app",
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":args",
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":benchmark_helper",
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":common",
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":cross_entropy",
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":gemma_lib",
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":ops",
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":tokenizer",
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"@googletest//:gtest_main",
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"//compression:io",
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"@hwy//:hwy",
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"@hwy//:hwy_test_util",
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"@hwy//:thread_pool",
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],
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)
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@ -23,13 +23,15 @@
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#include "evals/benchmark_helper.h"
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#include "gemma/common.h"
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#include "gemma/tokenizer.h"
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#include "hwy/aligned_allocator.h"
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#include "hwy/tests/hwy_gtest.h"
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// This test can be run manually with the downloaded gemma weights.
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// To run the test, pass the following flags:
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// --model <model> --tokenizer <tokenizer_path> --weights <weights_path>
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// It should pass for the following models: 2b-it, 7b-it, 9b-it, 27b-it
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// It should pass for the following models:
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// 2b-it (v1 and v1.1), 7b-it (v1 and v1.1), 9b-it, 27b-it
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namespace gcpp {
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namespace {
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@ -45,7 +47,15 @@ class GemmaTest : public ::testing::Test {
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s_env->SetMaxGeneratedTokens(2048);
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s_env->MutableConfig().temperature = 0.0f; // deterministic
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s_env->MutableConfig().verbosity = 0;
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// Using the turn structure worsens results.
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// Using the turn structure worsens results sometimes.
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// However, gemma-2 27B seems to need the turn structure to work.
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// It would be good to make these tests more consistent.
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if (s_env->GetModel()->Info().model == Model::GEMMA_27B) {
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std::string mutable_prompt = prompt;
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auto [response, n] = s_env->QueryModel(mutable_prompt); // Uses turns.
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return response;
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}
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// Otherwise, don't use turn structure.
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const std::vector<int> tokens = s_env->TokenizeAndPrependBOS(prompt);
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auto [response, n] = s_env->QueryModel(tokens);
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return response;
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@ -56,7 +66,15 @@ class GemmaTest : public ::testing::Test {
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s_env->SetMaxGeneratedTokens(64);
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s_env->MutableConfig().temperature = 0.0f; // deterministic
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s_env->MutableConfig().verbosity = 0;
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// Using the turn structure worsens results.
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std::vector<std::string> replies;
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// Using the turn structure worsens results sometimes.
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// However, gemma-2 27B seems to need the turn structure to work.
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// It would be good to make these tests more consistent.
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if (s_env->GetModel()->Info().model == Model::GEMMA_27B) {
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for (auto [response, n] : s_env->BatchQueryModel(inputs)) {
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replies.push_back(response);
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}
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} else { // Not Gemma-2 27B. Do not use turn structure.
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std::vector<std::unique_ptr<std::vector<int>>> prompts;
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prompts.reserve(inputs.size());
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for (auto input_string : inputs) {
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@ -71,15 +89,15 @@ class GemmaTest : public ::testing::Test {
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hwy::Span<const hwy::Span<int>> prompt_span =
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hwy::Span<const hwy::Span<int>>(prompt_vector.data(),
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prompt_vector.size());
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std::vector<std::string> replies;
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for (auto [response, n] : s_env->BatchQueryModel2(prompt_span)) {
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replies.push_back(response);
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}
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}
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return replies;
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}
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void TestQuestions(const char* kQA[][2], size_t num_questions, bool batch) {
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if (!s_env->GetModel()) return;
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ASSERT_NE(s_env->GetModel(), nullptr);
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if (batch) {
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std::vector<std::string> inputs;
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for (size_t i = 0; i < num_questions; ++i) {
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@ -171,80 +189,80 @@ static const char kGettysburg[] = {
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"people, for the people, shall not perish from the earth.\n"};
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TEST_F(GemmaTest, CrossEntropySmall) {
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if (!s_env->GetModel()) return;
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ASSERT_NE(s_env->GetModel(), nullptr);
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static const char kSmall[] =
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"The capital of Hungary is Budapest which is located in Europe.";
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float entropy = s_env->CrossEntropy(kSmall);
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fprintf(stderr, "per-token entropy: %f\n", entropy);
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float expected_entropy;
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switch (s_env->GetModel()->Info().model) {
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case gcpp::Model::GEMMA_2B:
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expected_entropy = 2.56f;
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// 2B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 2.6f, 0.2f);
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break;
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case gcpp::Model::GEMMA_7B:
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expected_entropy = 2.91f;
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// 7B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 2.8f, 0.2f);
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break;
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case gcpp::Model::GEMMA_9B:
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expected_entropy = 1.28f;
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EXPECT_NEAR(entropy, 1.28f, 0.02f);
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break;
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case gcpp::Model::GEMMA_27B:
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expected_entropy = 1.30f;
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EXPECT_NEAR(entropy, 1.30f, 0.02f);
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break;
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default:
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FAIL() << "no entropy expectation for this model";
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break;
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}
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EXPECT_NEAR(entropy, expected_entropy, 0.02f);
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}
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TEST_F(GemmaTest, CrossEntropyJingleBells) {
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if (!s_env->GetModel()) return;
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ASSERT_NE(s_env->GetModel(), nullptr);
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float entropy = s_env->CrossEntropy(kJingleBells);
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fprintf(stderr, "per-token entropy: %f\n", entropy);
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float expected_entropy;
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switch (s_env->GetModel()->Info().model) {
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case gcpp::Model::GEMMA_2B:
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expected_entropy = 1.85f;
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// 2B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 1.9f, 0.2f);
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break;
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case gcpp::Model::GEMMA_7B:
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expected_entropy = 1.06f;
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// 7B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 1.07f, 0.05f);
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break;
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case gcpp::Model::GEMMA_9B:
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expected_entropy = 0.37f;
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EXPECT_NEAR(entropy, 0.37f, 0.02f);
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break;
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case gcpp::Model::GEMMA_27B:
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expected_entropy = 0.33f;
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EXPECT_NEAR(entropy, 0.33f, 0.02f);
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break;
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default:
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FAIL() << "no entropy expectation for this model";
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break;
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}
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EXPECT_NEAR(entropy, expected_entropy, 0.02f);
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}
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TEST_F(GemmaTest, CrossEntropyGettysburg) {
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if (!s_env->GetModel()) return;
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ASSERT_NE(s_env->GetModel(), nullptr);
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float entropy = s_env->CrossEntropy(kGettysburg);
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fprintf(stderr, "per-token entropy: %f\n", entropy);
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float expected_entropy;
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switch (s_env->GetModel()->Info().model) {
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case gcpp::Model::GEMMA_2B:
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expected_entropy = 1.05f;
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// 2B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 1.1f, 0.1f);
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break;
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case gcpp::Model::GEMMA_7B:
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expected_entropy = 0.83f;
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// 7B v.1 and v.1.1 produce slightly different results.
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EXPECT_NEAR(entropy, 0.75f, 0.1f);
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break;
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case gcpp::Model::GEMMA_9B:
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expected_entropy = 0.15f;
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EXPECT_NEAR(entropy, 0.15f, 0.02f);
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break;
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case gcpp::Model::GEMMA_27B:
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expected_entropy = 0.14f;
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EXPECT_NEAR(entropy, 0.14f, 0.02f);
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break;
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default:
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FAIL() << "no entropy expectation for this model";
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break;
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}
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EXPECT_NEAR(entropy, expected_entropy, 0.02f);
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}
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} // namespace
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