Fix: total_mem -> total_memory"

Add quick_test.py - standalone timing test, prints immediately, no imports from other files"

Fix: force unbuffered stdout for Kaggle notebook output + use print() with flush"

Add --log_batch_every: prints loss every N batches within an epoch"

Add --num_gpus: splits tasks across GPUs in parallel processes"

Add --log_every arg to control epoch print frequency (default 100)

Fix: add build_trm_nano_onnx function (alias used by train_task.py)

Add solved_tasks.json - 51 tasks solved by analytical solvers

Replace train_task.py with full batch runner: loops all 400 tasks, skips solved, logs everything, uses manual ONNX builder

Add manual ONNX builder with weight reuse - fits 1.44MB with full h=96 T=3 n=4"

Add TRM-Nano README with architecture details and usage"

Add TRM-Nano per-task training script with augmentation and ONNX export

Add TRM-Nano model implementation (h=96, 4 heads, 2 layers, unrolled recursion)"

Update classifier to support Kilo local server

Update TODO with TRM findings, fix outdated info

Add TRM research findings and architecture notes

Add composition solvers for chained transforms

Add DeepSeek task classifier for LLM-guided solver routing

reorg kilo skills folder

Add TRM solver skill for agent guidance

Upload trm_solver/__init__.py

Add TRM solver README

Add Kilo Bridge for LLM-driven ARC task analysis and ONNX export

Add TRM solver NN executor with 14 transform types and ONNX export