mirror of https://github.com/google/gemma.cpp.git
Add a simple benchmark for batching.
This is a simple Gemma benchmark with a fixed batch size of 32. PiperOrigin-RevId: 698843573
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20
BUILD.bazel
20
BUILD.bazel
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@ -388,6 +388,26 @@ cc_test(
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],
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)
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cc_test(
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name = "gemma_batch_bench",
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srcs = ["evals/gemma_batch_bench.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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":benchmark_helper",
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":common",
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":gemma_lib",
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":tokenizer",
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"@googletest//:gtest_main",
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"@highway//:hwy",
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"@highway//:hwy_test_util",
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],
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)
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cc_binary(
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name = "gemma",
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srcs = ["gemma/run.cc"],
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@ -135,6 +135,9 @@ install(TARGETS gemma DESTINATION bin)
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add_executable(single_benchmark evals/benchmark.cc)
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target_link_libraries(single_benchmark libgemma hwy hwy_contrib nlohmann_json::nlohmann_json)
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add_executable(gemma_batch_bench evals/gemma_batch_bench.cc)
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target_link_libraries(gemma_batch_bench libgemma hwy hwy_contrib nlohmann_json::nlohmann_json)
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add_executable(benchmarks evals/benchmarks.cc)
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target_link_libraries(benchmarks libgemma hwy hwy_contrib nlohmann_json::nlohmann_json benchmark)
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@ -0,0 +1,146 @@
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// Copyright 2024 Google LLC
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// SPDX-License-Identifier: Apache-2.0
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "gemma/gemma.h"
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#include <stdio.h>
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#include <string>
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#include <vector>
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#include "evals/benchmark_helper.h"
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#include "gemma/common.h"
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#include "hwy/base.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:
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// Gemma1: 2b-it (v1 and v1.1), 7b-it (v1 and v1.1), gr2b-it,
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// Gemma2: gemma2-2b-it, 9b-it, 27b-it,
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namespace gcpp {
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namespace {
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// Shared state. Requires argc/argv, so construct in main and use the same raw
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// pointer approach as in benchmarks.cc. Note that the style guide forbids
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// non-local static variables with dtors.
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GemmaEnv* s_env = nullptr;
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class GemmaTest : public ::testing::Test {
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protected:
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std::vector<std::string> BatchGemmaReply(
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const std::vector<std::string>& inputs) {
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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 = 5;
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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, some models 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::GEMMA2_27B ||
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s_env->GetModel()->Info().model == Model::GRIFFIN_2B) {
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for (QueryResult result : s_env->BatchQueryModel(inputs)) {
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replies.push_back(result.response);
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}
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return replies;
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}
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// Otherwise, do not use turn structure.
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std::vector<std::vector<int>> prompts_vector;
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prompts_vector.reserve(inputs.size());
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for (const auto& input_string : inputs) {
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prompts_vector.push_back(s_env->TokenizeAndPrependBOS(input_string));
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}
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std::vector<PromptTokens> prompt_spans;
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for (const auto& prompt : prompts_vector) {
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prompt_spans.push_back(PromptTokens(prompt.data(), prompt.size()));
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}
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QueriesPromptTokens prompts(prompt_spans.data(), prompt_spans.size());
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for (const QueryResult& result : s_env->BatchQueryModel(prompts)) {
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replies.push_back(result.response);
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}
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return replies;
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}
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void GenerateTokens(std::vector<std::string> &kQA, size_t num_questions) {
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ASSERT_NE(s_env->GetModel(), nullptr);
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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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inputs.push_back(kQA[i]);
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}
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std::vector<std::string> responses = BatchGemmaReply(inputs);
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for (size_t i = 0; i < num_questions; ++i) {
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std::string response = responses.at(i);
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fprintf(stderr, "Batch answer %zu '%s'\n\n", i + 1, response.c_str());
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}
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}
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};
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TEST_F(GemmaTest, RandomQuestionsBatched) {
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s_env->MutableConfig().decode_qbatch_size = 3;
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s_env->MutableConfig().verbosity = 5;
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static std::vector<std::string> kQA = {
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{"Write me a poem about Australia?"},
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{"What's the history of Denmark?"},
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{"Write me a comedy story about the USA."},
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{"Teach me about GPU programming."},
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{"Write me a story about the moon."},
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{"Write me a story about the universe."},
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{"Write a poem about planet earth."},
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{"Tell me more about olympic sports."},
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{"How would you describe Washington State?"},
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{"Write me a story about Silicon Valley."},
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{"Write me about your best friend."},
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{"How would you describe a unicorn?"},
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{"Tell me about world war history."},
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{"Tell me about Google."},
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{"Explain to me how to use Google Maps."},
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{"Explain to me how AI works."},
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{"Write me a poem about France."},
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{"What's the history of Great Britain?"},
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{"Write me a comedy story about Florida."},
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{"Teach me about dynamic programming."},
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{"Write me a story about Jupiter."},
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{"Write me a story about space ships."},
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{"Write a poem about some random planet."},
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{"Tell me more about team sports."},
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{"How would you describe Michigan State?"},
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{"Write me a story about Europe."},
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{"Write me about your best colleague."},
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{"How would you describe a horse?"},
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{"Tell me about World War 2."},
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{"Please share some good cooking tips."},
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{"Tell me about space travel."},
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{"Explain to me how electric cars work."},
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};
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static const size_t kNum = kQA.size();
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GenerateTokens(kQA, kNum);
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}
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} // namespace
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} // namespace gcpp
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int main(int argc, char** argv) {
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gcpp::GemmaEnv env(argc, argv);
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gcpp::s_env = &env;
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testing::InitGoogleTest(&argc, argv);
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return RUN_ALL_TESTS();
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}
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