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llamamodel: trigger CUDA OOM early so we can fall back

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Signed-off-by: Jared Van Bortel <jared@nomic.ai>
This commit is contained in:
Jared Van Bortel 2024-05-30 16:38:45 -04:00
parent 19c95060ec
commit b4adcba877
2 changed files with 39 additions and 0 deletions
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37
gpt4all-backend/llamamodel.cpp
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@ -426,6 +426,23 @@ bool LLamaModel::loadModel(const std::string &modelPath, int n_ctx, int ngl)
return false;
}
#ifdef GGML_USE_CUDA
if (d_ptr->model_params.n_gpu_layers > 0) {
try {
testModel(); // eagerly allocate memory
} catch (const std::runtime_error &e) {
std::cerr << "LLAMA ERROR: model test failed: " << e.what() << "\n";
llama_free(d_ptr->ctx);
d_ptr->ctx = nullptr;
llama_free_model(d_ptr->model);
d_ptr->model = nullptr;
d_ptr->device = -1;
d_ptr->deviceName.clear();
return false;
}
}
#endif
d_ptr->end_tokens = {llama_token_eos(d_ptr->model)};
if (usingGPUDevice()) {
@ -449,6 +466,26 @@ bool LLamaModel::loadModel(const std::string &modelPath, int n_ctx, int ngl)
return true;
}
void LLamaModel::testModel() {
int n_ctx = llama_n_ctx(d_ptr->ctx);
int n_batch = LLMODEL_MAX_PROMPT_BATCH;
n_batch = std::min(n_batch, n_ctx);
// test with maximum batch size
PromptContext ctx;
ctx.n_batch = n_batch;
std::vector<int32_t> tokens(n_batch);
llama_set_skip_cpu(d_ptr->ctx, true);
if (!evalTokens(ctx, tokens))
throw std::runtime_error("llama_decode failed");
llama_set_skip_cpu(d_ptr->ctx, false);
llama_synchronize(d_ptr->ctx); // wait for GPU to finish
// clean up
llama_kv_cache_clear(d_ptr->ctx);
}
void LLamaModel::setThreadCount(int32_t n_threads) {
d_ptr->n_threads = n_threads;
llama_set_n_threads(d_ptr->ctx, n_threads, n_threads);

2
gpt4all-backend/llamamodel_impl.h
View File

@ -48,6 +48,8 @@ public:
size_t *tokenCount = nullptr, bool doMean = true, bool atlas = false) override;
private:
void testModel(); // used for CUDA to eagerly allocate memory
std::unique_ptr<LLamaPrivate> d_ptr;
bool m_supportsEmbedding = false;
bool m_supportsCompletion = false;