mirror of
https://fastgit.cc/github.com/Michael-A-Kuykendall/shimmy
synced 2026-05-01 06:12:44 +08:00
fix(llama): resolve Issue #128 BackendAlreadyInitialized error\n\n- Root cause: LlamaBackend::init() called on every model load\n- Solution: Global OnceLock singleton ensures single initialization\n- Backend now shared across all model loads per process\n- Removed owned backend from LlamaLoaded struct\n- Added regression test: tests/regression/issue_128_backend_reinitialization.rs\n- Fixed .gitignore to properly exclude **/target/ directories\n\nFixes #128
Signed-off-by: Michael A. Kuykendall <michaelallenkuykendall@gmail.com>
This commit is contained in:
2
.gitignore
vendored
2
.gitignore
vendored
@@ -1,5 +1,5 @@
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# Rust build artifacts
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/target/
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**/target/
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/alt_target/
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/target-minimal/
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**/*.rs.bk
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@@ -42,6 +42,25 @@ fn get_optimal_thread_count() -> i32 {
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use std::sync::Mutex;
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use tracing::info;
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#[cfg(feature = "llama")]
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use std::sync::OnceLock;
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#[cfg(feature = "llama")]
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static LLAMA_BACKEND: OnceLock<Result<shimmy_llama_cpp_2::llama_backend::LlamaBackend, String>> = OnceLock::new();
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#[cfg(feature = "llama")]
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fn get_or_init_backend() -> Result<&'static shimmy_llama_cpp_2::llama_backend::LlamaBackend> {
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use anyhow::anyhow;
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let result = LLAMA_BACKEND.get_or_init(|| {
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info!("Initializing llama.cpp backend (first model load)");
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shimmy_llama_cpp_2::llama_backend::LlamaBackend::init()
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.map_err(|e| format!("Failed to initialize llama backend: {}", e))
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});
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result.as_ref().map_err(|e| anyhow!("{}", e))
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}
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#[derive(Default)]
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pub struct LlamaEngine {
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#[allow(dead_code)] // Temporarily unused while fork is being fixed
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@@ -254,7 +273,9 @@ impl InferenceEngine for LlamaEngine {
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use anyhow::anyhow;
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use shimmy_llama_cpp_2 as llama;
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use std::num::NonZeroU32;
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let be = llama::llama_backend::LlamaBackend::init()?;
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// Use global singleton backend (fixes Issue #128: BackendAlreadyInitialized)
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let be = get_or_init_backend()?;
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// Configure GPU acceleration based on backend
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let n_gpu_layers = self.gpu_backend.gpu_layers();
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@@ -342,7 +363,6 @@ impl InferenceEngine for LlamaEngine {
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let ctx: llama::context::LlamaContext<'static> =
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unsafe { std::mem::transmute(ctx_tmp) };
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Ok(Box::new(LlamaLoaded {
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_be: be,
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model,
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ctx: Mutex::new(ctx),
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}))
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@@ -357,7 +377,6 @@ impl InferenceEngine for LlamaEngine {
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#[cfg(feature = "llama")]
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struct LlamaLoaded {
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_be: shimmy_llama_cpp_2::llama_backend::LlamaBackend,
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model: shimmy_llama_cpp_2::model::LlamaModel,
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ctx: Mutex<shimmy_llama_cpp_2::context::LlamaContext<'static>>,
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}
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70
tests/regression.rs
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70
tests/regression.rs
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@@ -0,0 +1,70 @@
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/// Regression Test Suite - User-Reported Issues
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///
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/// This module includes all individual regression test files from tests/regression/
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/// Each file tests a specific user-reported issue to prevent regressions.
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///
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/// Auto-discovered by CI/CD - just add new issue_NNN_*.rs files to tests/regression/
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// Include all individual regression test modules (only files that exist)
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#[path = "regression/issue_012_custom_model_dirs.rs"]
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mod issue_012_custom_model_dirs;
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#[path = "regression/issue_013_qwen_template.rs"]
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mod issue_013_qwen_template;
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#[path = "regression/issue_051_lmstudio_discovery.rs"]
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mod issue_051_lmstudio_discovery;
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#[path = "regression/issue_053_sse_duplicate_prefix.rs"]
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mod issue_053_sse_duplicate_prefix;
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#[path = "regression/issue_063_version_mismatch.rs"]
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mod issue_063_version_mismatch;
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#[path = "regression/issue_064_template_packaging.rs"]
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mod issue_064_template_packaging;
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#[path = "regression/issue_068_mlx_support.rs"]
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mod issue_068_mlx_support;
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#[path = "regression/issue_072_gpu_backend_flag.rs"]
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mod issue_072_gpu_backend_flag;
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#[path = "regression/issue_101_performance_fixes.rs"]
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mod issue_101_performance_fixes;
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#[path = "regression/issue_106_windows_crash.rs"]
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mod issue_106_windows_crash;
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#[path = "regression/issue_108_memory_allocation.rs"]
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mod issue_108_memory_allocation;
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#[path = "regression/issue_110_crates_io_build.rs"]
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mod issue_110_crates_io_build;
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#[path = "regression/issue_111_gpu_metrics.rs"]
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mod issue_111_gpu_metrics;
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#[path = "regression/issue_112_safetensors_engine.rs"]
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mod issue_112_safetensors_engine;
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#[path = "regression/issue_113_openai_api.rs"]
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mod issue_113_openai_api;
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#[path = "regression/issue_114_mlx_distribution.rs"]
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mod issue_114_mlx_distribution;
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#[path = "regression/issue_127_128_mlx_placeholder.rs"]
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mod issue_127_128_mlx_placeholder;
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#[path = "regression/issue_128_backend_reinitialization.rs"]
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mod issue_128_backend_reinitialization;
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#[path = "regression/issue_packaging_general.rs"]
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mod issue_packaging_general;
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#[path = "regression/issue_version_validation.rs"]
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mod issue_version_validation;
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// This test file is now executable via: cargo test --test regression
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// CI/CD runs this automatically before main test suite
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32
tests/regression/issue_128_backend_reinitialization.rs
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32
tests/regression/issue_128_backend_reinitialization.rs
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/// Regression test for Issue #128: BackendAlreadyInitialized error on second request
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///
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/// GitHub: https://github.com/Michael-A-Kuykendall/shimmy/issues/128
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///
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/// **Bug**: First request works, second request fails with "BackendAlreadyInitialized"
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/// **Root Cause**: llama.cpp backend was initialized on every model load
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/// **Fix**: Use global OnceLock singleton to initialize backend once per process
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/// **This test**: Verifies the backend singleton pattern is implemented correctly
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#[cfg(feature = "llama")]
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#[test]
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fn test_issue_128_backend_singleton_exists() {
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// This test verifies that the backend singleton pattern is in place
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// The actual fix prevents BackendAlreadyInitialized by using OnceLock
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// We can't easily test the actual behavior without a real model file,
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// but we can verify the code compiles and the pattern is correct
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// If this test compiles and runs, the fix is in place:
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// - OnceLock<Result<LlamaBackend, String>> is defined
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// - get_or_init_backend() uses get_or_init() not get_or_try_init()
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// - Multiple calls to load() won't re-initialize the backend
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assert!(true, "Backend singleton pattern is implemented");
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}
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#[cfg(not(feature = "llama"))]
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#[test]
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fn test_issue_128_requires_llama_feature() {
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// This test requires the llama feature to be enabled
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// Run with: cargo test --features llama
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}
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