aprender-compute 0.32.0

High-performance SIMD compute library with GPU support, LLM inference engine, and GGUF model loading (was: trueno)
Documentation 
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#![allow(clippy::disallowed_methods, clippy::float_cmp)]
//! GPU Edge-Case Testing with trueno-cuda-edge
//!
//! This test suite applies trueno-cuda-edge's falsification frameworks to
//! trueno's GPU compute primitives, verifying:
//!
//! - Null pointer handling for device memory
//! - Quantization boundaries for SIMD operations
//! - PTX verification for generated kernels
//! - Shared memory constraints for GPU backends
//! - Supervision patterns for GPU worker management
//!
//! Tests run without actual GPU hardware by validating pure-Rust
//! type system guarantees and configuration.

#![allow(clippy::unwrap_used, clippy::expect_used)]

mod falsification_tests;
mod lifecycle_chaos_tests;
mod null_fuzzer_tests;
mod ptx_poison_tests;
mod quant_oracle_tests;
mod shmem_prober_tests;
mod supervisor_tests;