- Rename `read_noise` scenarios and noise_mode to `read_pass_through` across
run_cam_correctness.py, test_run_cam_correctness.py, and Makefiles
- Update RTL comment in match_engine_pipeline.sv to reflect pass-through behavior
- Move unit-level cocotb tests from `tests.test_*` flat namespace to
`tests.modules.*` and `tests.top.*` subdirectory layout, matching actual
Makefile paths (hw/sim/tests/modules/..., hw/sim/tests/top/...)
- Remove redundant dual-noise subtarget from read_noise/Makefile
- Update help text and docs to reflect read-path pass-through semantics
- Add .codegraph to .gitignore
- Make cam_read_noise a pass-through module, removing all noise injection logic
- Switch write noise to use noise_mask_bernoulli instead of noise_mask_grouped
- Add state machine to cam_write_noise for mask generation timing
- Remove noise_mask_grouped.sv (no longer needed)
- Remove read noise parameters from cam_noisy and cam_top
- Update simulation and benchmark code to reflect read noise removal
- Sync documentation to reflect Phase 2 architecture
- Add just recipes for preparing CIFAR10/100 hash artifacts and running benchmarks
- Add CAM_RETRIEVAL_DATASET env var support in Makefile
- Add load_retrieval_dataset_npz() to load pre-prepared retrieval datasets
- Add label_hits counter and recall@k metric for retrieval evaluation
- Rename macro_recall to retrieval_recall to clarify semantics
- Emit rd_valid_o for exactly one combinational cycle before waiting for
read response, ensuring the read-noise PRNG advances once per batch issue
- Fix query handshake: wait for query_ready before asserting query_valid
to avoid valid&&ready handshake drops on clock edges
- Add dynamic timeout estimation in test utilities based on DUT parameters
- Update test-top Makefile to run all noise configurations by default
- Remove uv run prefix from cocotb-config Makefile invocation
- Add write_training_metrics() in new compressors/training_metrics.py
for appending epoch/step/lr/component rows as JSON Lines
- Wire --metrics-path and --log-every CLI options into train.py, passing
them to the training loop so metrics rows are written every N steps
- Accept absolute metrics paths or paths relative to output directory
- Add quantization component to loss log alongside existing distill/contrastive
- Replace inline torch.device() with get_device() utility
- Add test_hash_training_metrics.py covering multi-row JSONL append
Infrastructure:
- Pin torch 2.7.1 + CUDA 12.8 index for Linux/Windows in pyproject.toml
- Add .justfile rsync upload recipe with .stignore exclusion
- Exclude **/__marimo__ from rsync in .stignore
Dependencies updated: numpy 2.4.5, pandas 3.0.3, black 26.5.0,
click 8.4.0, contourpy, etc.
- Set READ_NOISE_EN=1 as default in cam_top.sv
- Wire READ_NOISE_* parameters to NOISE_* makefile variables in cocotb-common.mk
- Add PYTHON env variable support in Makefile for test invocation
- Update .gitignore with glob patterns (**/sim_build/, **/results.xml, *.fst)
- Add justfile recipe for remote cam-test-top execution
- Move load_env_file, parse_timeout_seconds, build_remote_script, and
build_ssh_command to scripts/common.py
- Update remote_docker_run.py to import from common module
- Improves code organization and reusability
- Add crop_batch method to HashPipeline for cropping images using OWLv2 detection boxes
- Integrate crop_batch into pipeline forward pass (extract_hash and extract_features)
- Move extract_masked_region from compressors/proposal/utils.py to utils/image.py
- Add crop_image_by_bbox utility function in utils/image.py
- Update type annotations to use dict[str, Any] instead of bare dict
- Update .justfile to add memory server command
- Update marimo dependency to >=0.22.0
- Update nvidia CUDA package markers for platform compatibility
