chore(phase5,bench): record bumped-toolchain environment and results
Phase 5 reference numbers, captured against commit 1e5791d on macOS
26.1 with the bumped toolchain (torch 2.7.1, coremltools 9.0, numpy
1.26.4, Python 3.12.11).
- bench/env/baseline-1e5791d.txt: full uv-pip freeze + ComfyUI sha +
macOS + resolved ml-stable-diffusion git metadata.
- bench/env/pytest-unit-1e5791d.txt: pytest -m unit 88/88 passing
(Tier-0 purity gate confirms no comfy/coreml leak).
- bench/results/1e5791d.{json,md}: SD1.5 1x512x512 SPLIT_EINSUM UNet
forward latency on the Apple Neural Engine and CPU+GPU. Held within
noise of the Phase 1 baseline (ef2a18c.json) — bump is
performance-neutral.
This commit is contained in:
Vendored
+134
@@ -0,0 +1,134 @@
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# Phase 1 baseline environment capture
|
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timestamp_utc: 2026-05-24T14:36:51Z
|
||||
repo_sha: 1e5791d1087b4dfb095e7761f05ac4e82c92cf7a
|
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repo_branch: modernize/phase5-toolchain-bump
|
||||
comfyui_dir: /Users/aszczepanski/dev/ComfyUI
|
||||
comfyui_sha: ab5413351eee61f3d7f10c74e75286df0058bb18
|
||||
python_bin: /Users/aszczepanski/dev/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite/.venv/bin/python
|
||||
python_version: Python 3.12.11
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||||
platform_machine: arm64
|
||||
platform_uname: Darwin mac-2.home 25.1.0 Darwin Kernel Version 25.1.0: Mon Oct 20 19:33:00 PDT 2025; root:xnu-12377.41.6~2/RELEASE_ARM64_T6020 arm64
|
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macos_product: macOS
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macos_version: 26.1
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macos_build: 25B78
|
||||
|
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## python-coreml-stable-diffusion (resolved)
|
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Name: python-coreml-stable-diffusion
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Version: 1.1.0
|
||||
Location: /Users/aszczepanski/dev/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite/.venv/lib/python3.12/site-packages
|
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Requires: coremltools, diffusers, diffusionkit, huggingface-hub, invisible-watermark, matplotlib, numpy, pytest, safetensors, scikit-learn, scipy, torch, transformers
|
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Required-by:
|
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|
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## python-coreml-stable-diffusion installed git metadata
|
||||
{"url":"https://github.com/apple/ml-stable-diffusion.git","vcs_info":{"vcs":"git","commit_id":"e5d960c41a6a4ab200b8db379194127607b1c590","requested_revision":"e5d960c41a6a4ab200b8db379194127607b1c590"}}
|
||||
|
||||
## coremltools version
|
||||
scikit-learn version 1.7.2 is not supported. Minimum required version: 0.17. Maximum required version: 1.5.1. Disabling scikit-learn conversion API.
|
||||
Torch version 2.7.1 has not been tested with coremltools. You may run into unexpected errors. Torch 2.7.0 is the most recent version that has been tested.
|
||||
coremltools 9.0
|
||||
|
||||
## torch version
|
||||
torch 2.7.1
|
||||
|
||||
## numpy version
|
||||
numpy 1.26.4
|
||||
|
||||
## freeze
|
||||
accelerate==1.13.0
|
||||
aiohappyeyeballs==2.6.2
|
||||
aiohttp==3.13.5
|
||||
aiosignal==1.4.0
|
||||
annotated-types==0.7.0
|
||||
antlr4-python3-runtime==4.9.3
|
||||
argmaxtools==0.1.23
|
||||
attrs==26.1.0
|
||||
beartype==0.22.9
|
||||
cattrs==26.1.0
|
||||
certifi==2026.5.20
|
||||
cffi==2.0.0
|
||||
charset-normalizer==3.4.7
|
||||
click==8.4.1
|
||||
comfyui-frontend-package==1.14.6
|
||||
contourpy==1.3.2
|
||||
coremltools==9.0
|
||||
cycler==0.12.1
|
||||
diffusers==0.30.2
|
||||
diffusionkit==0.4.0
|
||||
einops==0.8.2
|
||||
filelock==3.29.0
|
||||
fonttools==4.63.0
|
||||
frozenlist==1.8.0
|
||||
fsspec==2026.4.0
|
||||
gitdb==4.0.12
|
||||
gitpython==3.1.50
|
||||
huggingface-hub==0.24.6
|
||||
idna==3.16
|
||||
importlib-metadata==9.0.0
|
||||
iniconfig==2.3.0
|
||||
invisible-watermark==0.2.0
|
||||
jaxtyping==0.3.9
|
||||
jinja2==3.1.6
|
||||
joblib==1.5.3
|
||||
kiwisolver==1.5.0
|
||||
kornia==0.8.3
|
||||
kornia-rs==0.1.14
|
||||
markupsafe==3.0.3
|
||||
matplotlib==3.10.9
|
||||
mlx==0.31.2
|
||||
mlx-metal==0.31.2
|
||||
mpmath==1.3.0
|
||||
multidict==6.7.1
|
||||
networkx==3.6.1
|
||||
numpy==1.26.4
|
||||
omegaconf==2.3.0
|
||||
opencv-python==4.11.0.86
|
||||
overrides==7.7.0
|
||||
packaging==26.2
|
||||
peft==0.13.2
|
||||
pillow==12.2.0
|
||||
platformdirs==4.9.6
|
||||
pluggy==1.6.0
|
||||
propcache==0.5.2
|
||||
protobuf==7.35.0
|
||||
psutil==7.2.2
|
||||
pyaml==26.2.1
|
||||
pycparser==3.0
|
||||
pydantic==2.13.4
|
||||
pydantic-core==2.46.4
|
||||
pygments==2.20.0
|
||||
pyparsing==3.3.2
|
||||
pytest==9.0.3
|
||||
python-coreml-stable-diffusion @ git+https://github.com/apple/ml-stable-diffusion.git@e5d960c41a6a4ab200b8db379194127607b1c590
|
||||
python-dateutil==2.9.0.post0
|
||||
pywavelets==1.8.0
|
||||
pyyaml==6.0.3
|
||||
regex==2026.5.9
|
||||
requests==2.34.2
|
||||
safetensors==0.7.0
|
||||
scikit-learn==1.7.2
|
||||
scipy==1.15.3
|
||||
sentencepiece==0.2.1
|
||||
sentry-sdk==2.60.0
|
||||
setuptools==81.0.0
|
||||
six==1.17.0
|
||||
smmap==5.0.3
|
||||
soundfile==0.13.1
|
||||
spandrel==0.4.2
|
||||
sympy==1.14.0
|
||||
tabulate==0.10.0
|
||||
threadpoolctl==3.6.0
|
||||
tokenizers==0.19.1
|
||||
torch==2.7.1
|
||||
torchaudio==2.11.0
|
||||
torchsde==0.2.6
|
||||
torchvision==0.22.1
|
||||
tqdm==4.67.3
|
||||
trampoline==0.1.2
|
||||
transformers==4.44.2
|
||||
typing-extensions==4.15.0
|
||||
typing-inspection==0.4.2
|
||||
urllib3==2.7.0
|
||||
wadler-lindig==0.1.7
|
||||
wandb==0.27.0
|
||||
yarl==1.24.2
|
||||
zipp==4.1.0
|
||||
Vendored
+98
@@ -0,0 +1,98 @@
|
||||
============================= test session starts ==============================
|
||||
platform darwin -- Python 3.12.11, pytest-9.0.3, pluggy-1.6.0 -- /Users/aszczepanski/dev/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite/.venv/bin/python
|
||||
cachedir: .pytest_cache
|
||||
rootdir: /Users/aszczepanski/dev/ComfyUI/custom_nodes/ComfyUI-CoreMLSuite
|
||||
configfile: pyproject.toml
|
||||
plugins: jaxtyping-0.3.9
|
||||
collecting ... collected 88 items
|
||||
|
||||
tests/unit/test_characterization_controlnet.py::test_expand_inputs_doubles_singleton_numpy PASSED [ 1%]
|
||||
tests/unit/test_characterization_controlnet.py::test_expand_inputs_doubles_singleton_torch PASSED [ 2%]
|
||||
tests/unit/test_characterization_controlnet.py::test_expand_inputs_doubles_singleton_list PASSED [ 3%]
|
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tests/unit/test_characterization_controlnet.py::test_expand_inputs_skips_already_batched PASSED [ 4%]
|
||||
tests/unit/test_characterization_controlnet.py::test_expand_inputs_preserves_unknown_value_types PASSED [ 5%]
|
||||
tests/unit/test_characterization_controlnet.py::test_no_control_returns_zero_fp16_for_residuals PASSED [ 6%]
|
||||
tests/unit/test_characterization_controlnet.py::test_no_control_returns_empty_when_no_residuals PASSED [ 7%]
|
||||
tests/unit/test_characterization_controlnet.py::test_extract_residual_kwargs_empty_when_model_has_no_residual_inputs PASSED [ 9%]
|
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tests/unit/test_characterization_controlnet.py::test_extract_residual_kwargs_none_control_returns_no_control_shapes PASSED [ 10%]
|
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tests/unit/test_characterization_controlnet.py::test_extract_residual_kwargs_flattens_output_then_middle_and_casts_fp16 PASSED [ 11%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_none_returns_list_of_nones_with_length_target PASSED [ 12%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[1-2-1] PASSED [ 13%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[2-2-1] PASSED [ 14%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[3-2-2] PASSED [ 15%]
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[4-2-2] PASSED [ 17%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[5-3-2] PASSED [ 18%]
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tests/unit/test_characterization_controlnet.py::test_chunk_control_shapes_after_chunking[9-4-3] PASSED [ 19%]
|
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tests/unit/test_characterization_controlnet.py::test_chunk_control_preserves_keys_order PASSED [ 20%]
|
||||
tests/unit/test_characterization_controlnet.py::test_chunk_control_zero_pads_remainder PASSED [ 21%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_sd15_shapes_and_fp16 PASSED [ 22%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_sd15_with_controlnet_emits_residuals PASSED [ 23%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_sd15_without_controlnet_zero_fills_residuals PASSED [ 25%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_lcm_adds_timestep_cond PASSED [ 26%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_lcm_skips_timestep_cond_when_not_provided PASSED [ 27%]
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tests/unit/test_characterization_inputs.py::test_coreml_kwargs_sdxl_base_emits_time_ids_and_text_embeds PASSED [ 28%]
|
||||
tests/unit/test_characterization_inputs.py::test_coreml_kwargs_sdxl_refiner_uses_len5_time_ids PASSED [ 29%]
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tests/unit/test_characterization_inputs.py::test_chunks_sd15_pad_to_batch2_returns_one_chunk PASSED [ 30%]
|
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tests/unit/test_characterization_inputs.py::test_chunks_sd15_with_controlnet_chunks_residuals_too PASSED [ 31%]
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tests/unit/test_characterization_inputs.py::test_chunks_lcm_carries_timestep_cond_per_chunk PASSED [ 32%]
|
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tests/unit/test_characterization_inputs.py::test_chunks_sdxl_base_propagates_time_ids_and_text_embeds PASSED [ 34%]
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tests/unit/test_characterization_inputs.py::test_chunks_sdxl_refiner_uses_len5_time_ids PASSED [ 35%]
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tests/unit/test_characterization_inputs.py::test_chunks_sdxl_synthesizes_zero_time_ids_when_caller_omits PASSED [ 36%]
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tests/unit/test_characterization_inputs.py::test_chunks_splits_batch_into_multiple_target2_chunks PASSED [ 37%]
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tests/unit/test_characterization_inputs.py::test_chunks_timestep_is_broadcast_from_first_value PASSED [ 38%]
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tests/unit/test_characterization_latents.py::test_chunk_batch_passthrough_when_shape_matches PASSED [ 39%]
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||||
tests/unit/test_characterization_latents.py::test_chunk_batch_pads_single_chunk_when_input_smaller PASSED [ 40%]
|
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tests/unit/test_characterization_latents.py::test_chunk_batch_splits_exact_multiple PASSED [ 42%]
|
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tests/unit/test_characterization_latents.py::test_chunk_batch_pads_remainder_chunk PASSED [ 43%]
|
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tests/unit/test_characterization_latents.py::test_chunk_batch_pad_region_is_zero[1-4-1] PASSED [ 44%]
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tests/unit/test_characterization_latents.py::test_chunk_batch_pad_region_is_zero[3-2-2] PASSED [ 45%]
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tests/unit/test_characterization_latents.py::test_chunk_batch_pad_region_is_zero[5-3-2] PASSED [ 46%]
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tests/unit/test_characterization_latents.py::test_chunk_batch_pad_region_is_zero[9-4-3] PASSED [ 47%]
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tests/unit/test_characterization_latents.py::test_merge_chunks_exact_concat PASSED [ 48%]
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tests/unit/test_characterization_latents.py::test_merge_chunks_truncates_padding PASSED [ 50%]
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tests/unit/test_characterization_latents.py::test_merge_chunks_singleton_returns_equal_copy_when_shape_matches PASSED [ 51%]
|
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tests/unit/test_characterization_out_name.py::test_attention_suffix[SPLIT_EINSUM-se] PASSED [ 52%]
|
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tests/unit/test_characterization_out_name.py::test_attention_suffix[SPLIT_EINSUM_V2-se2] PASSED [ 53%]
|
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tests/unit/test_characterization_out_name.py::test_attention_suffix[ORIGINAL-orig] PASSED [ 54%]
|
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tests/unit/test_characterization_out_name.py::test_includes_batch_and_size PASSED [ 55%]
|
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tests/unit/test_characterization_out_name.py::test_appends_cn_suffix_when_controlnet_support_true PASSED [ 56%]
|
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tests/unit/test_characterization_out_name.py::test_drops_extension_at_first_period PASSED [ 57%]
|
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tests/unit/test_characterization_out_name.py::test_replaces_spaces_with_underscores PASSED [ 59%]
|
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tests/unit/test_characterization_out_name.py::test_single_lora PASSED [ 60%]
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tests/unit/test_characterization_out_name.py::test_multiple_loras_sorted PASSED [ 61%]
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tests/unit/test_characterization_out_name.py::test_lora_plus_controlnet PASSED [ 62%]
|
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tests/unit/test_characterization_out_name.py::test_sdxl_1024_original_gpu PASSED [ 63%]
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tests/unit/test_characterization_out_name.py::test_lora_names_from_params_sorts_by_name PASSED [ 64%]
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tests/unit/test_characterization_out_name.py::test_lora_names_from_params_empty_list PASSED [ 65%]
|
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tests/unit/test_characterization_sdxl_options.py::test_build_time_ids_base_defaults PASSED [ 67%]
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tests/unit/test_characterization_sdxl_options.py::test_build_time_ids_base_respects_overrides PASSED [ 68%]
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tests/unit/test_characterization_sdxl_options.py::test_build_time_ids_refiner_defaults PASSED [ 69%]
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tests/unit/test_characterization_sdxl_options.py::test_build_time_ids_refiner_respects_aesthetic_score PASSED [ 70%]
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tests/unit/test_characterization_sdxl_options.py::test_build_time_ids_neither_base_nor_refiner_returns_len4 PASSED [ 71%]
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tests/unit/test_characterization_sdxl_options.py::test_text_embeds_concat_pos_then_neg PASSED [ 72%]
|
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tests/unit/test_characterization_sdxl_options.py::test_wrapper_captures_time_ids_text_embeds_refiner_via_closure PASSED [ 73%]
|
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tests/unit/test_characterization_sdxl_options.py::test_wrapper_returns_zero_when_context_missing PASSED [ 75%]
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tests/unit/test_characterization_sdxl_options.py::test_wrapper_refiner_truncates_context_to_g_clip PASSED [ 76%]
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tests/unit/test_chunks.py::test_batch_chunking[1] PASSED [ 77%]
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tests/unit/test_chunks.py::test_batch_chunking[2] PASSED [ 78%]
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tests/unit/test_chunks.py::test_batch_chunking[4] PASSED [ 79%]
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tests/unit/test_chunks.py::test_batch_chunking[5] PASSED [ 80%]
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tests/unit/test_chunks.py::test_batch_chunking[9] PASSED [ 81%]
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tests/unit/test_chunks.py::test_merge_chunks[1] PASSED [ 82%]
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tests/unit/test_chunks.py::test_merge_chunks[2] PASSED [ 84%]
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tests/unit/test_chunks.py::test_merge_chunks[4] PASSED [ 85%]
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tests/unit/test_chunks.py::test_merge_chunks[5] PASSED [ 86%]
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tests/unit/test_chunks.py::test_merge_chunks[9] PASSED [ 87%]
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tests/unit/test_chunks.py::test_chunking_controlnet[1-2-1] PASSED [ 88%]
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tests/unit/test_chunks.py::test_chunking_controlnet[1-1-1] PASSED [ 89%]
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tests/unit/test_chunks.py::test_chunking_controlnet[2-2-1] PASSED [ 90%]
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tests/unit/test_chunks.py::test_chunking_controlnet[3-2-2] PASSED [ 92%]
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tests/unit/test_chunks.py::test_chunking_controlnet[4-2-2] PASSED [ 93%]
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tests/unit/test_chunks.py::test_chunking_controlnet[5-3-2] PASSED [ 94%]
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||||
tests/unit/test_chunks.py::test_chunking_controlnet[9-4-3] PASSED [ 95%]
|
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tests/unit/test_chunks.py::test_chunking_no_control PASSED [ 96%]
|
||||
tests/unit/test_chunks.py::test_chunking_inputs PASSED [ 97%]
|
||||
tests/unit/test_controlnet.py::test_no_control PASSED [ 98%]
|
||||
tests/unit/test_tier0_purity.py::test_no_framework_modules_loaded_by_unit_tier PASSED [100%]
|
||||
|
||||
============================== 88 passed in 1.83s ==============================
|
||||
@@ -0,0 +1,103 @@
|
||||
{
|
||||
"git_sha": "1e5791d",
|
||||
"timestamp": "2026-05-24T14:37:16+00:00",
|
||||
"host": {
|
||||
"machine": "arm64",
|
||||
"system": "Darwin",
|
||||
"release": "25.1.0",
|
||||
"python": "3.12.11"
|
||||
},
|
||||
"tool_versions": {
|
||||
"coremltools": "9.0",
|
||||
"numpy": "1.26.4"
|
||||
},
|
||||
"settings": {
|
||||
"repeats": 30,
|
||||
"assumed_steps": 20,
|
||||
"input_seed": 0,
|
||||
"compute_units": [
|
||||
"CPU_AND_NE",
|
||||
"CPU_AND_GPU"
|
||||
]
|
||||
},
|
||||
"results": [
|
||||
{
|
||||
"label": "v1-5-pruned-emaonly_1x512x512_se_unet-CPU_AND_NE",
|
||||
"model_path": "/Users/aszczepanski/dev/ComfyUI/models/unet/v1-5-pruned-emaonly_1x512x512_se_unet.mlmodelc",
|
||||
"compute_unit": "CPU_AND_NE",
|
||||
"error": null,
|
||||
"model_size_bytes": 1720796055,
|
||||
"load_time_s": 0.2086,
|
||||
"kind": "sd15",
|
||||
"expected_inputs": {
|
||||
"sample": [
|
||||
1,
|
||||
4,
|
||||
64,
|
||||
64
|
||||
],
|
||||
"timestep": [
|
||||
1
|
||||
],
|
||||
"encoder_hidden_states": [
|
||||
1,
|
||||
768,
|
||||
1,
|
||||
77
|
||||
]
|
||||
},
|
||||
"warmup_ms": 219.471,
|
||||
"forward_ms": {
|
||||
"mean": 199.435,
|
||||
"std": 5.333,
|
||||
"min": 196.825,
|
||||
"median": 197.493,
|
||||
"n": 30
|
||||
},
|
||||
"est_e2e_ms": 3949.9,
|
||||
"peak_rss_mb": 399.0
|
||||
},
|
||||
{
|
||||
"label": "v1-5-pruned-emaonly_1x512x512_se_unet-CPU_AND_GPU",
|
||||
"model_path": "/Users/aszczepanski/dev/ComfyUI/models/unet/v1-5-pruned-emaonly_1x512x512_se_unet.mlmodelc",
|
||||
"compute_unit": "CPU_AND_GPU",
|
||||
"error": null,
|
||||
"model_size_bytes": 1720796055,
|
||||
"load_time_s": 1.2334,
|
||||
"kind": "sd15",
|
||||
"expected_inputs": {
|
||||
"sample": [
|
||||
1,
|
||||
4,
|
||||
64,
|
||||
64
|
||||
],
|
||||
"timestep": [
|
||||
1
|
||||
],
|
||||
"encoder_hidden_states": [
|
||||
1,
|
||||
768,
|
||||
1,
|
||||
77
|
||||
]
|
||||
},
|
||||
"warmup_ms": 1392.959,
|
||||
"forward_ms": {
|
||||
"mean": 281.433,
|
||||
"std": 11.822,
|
||||
"min": 268.273,
|
||||
"median": 278.577,
|
||||
"n": 30
|
||||
},
|
||||
"est_e2e_ms": 5571.5,
|
||||
"peak_rss_mb": 2113.5
|
||||
}
|
||||
],
|
||||
"notes": [
|
||||
"forward_ms is the latency of a single Core ML UNet forward pass with synthetic inputs; with classifier-free guidance one sampler step typically maps to one batched forward (cond+uncond) \u2014 interpret est_e2e_ms accordingly.",
|
||||
"peak_rss_mb is process RSS only and excludes ANE/wired GPU memory; treat as a floor.",
|
||||
"quality_psnr is null unless --reference-images and --candidate-images are provided.",
|
||||
"Latency varies run-to-run; 'min' is the most reproducible figure for comparisons."
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,19 @@
|
||||
# CoreMLSuite baseline — `1e5791d`
|
||||
|
||||
- timestamp: 2026-05-24T14:37:16+00:00
|
||||
- host: arm64 / Darwin 25.1.0
|
||||
- python: 3.12.11
|
||||
- coremltools: 9.0, numpy: 1.26.4
|
||||
- settings: repeats=30, input_seed=0, assumed_steps=20
|
||||
|
||||
| label | kind | compute | size (MB) | load (s) | warmup (ms) | fwd median (ms) | fwd min (ms) | est e2e (ms) | peak RSS (MB) | error |
|
||||
|---|---|---|---|---|---|---|---|---|---|---|
|
||||
| v1-5-pruned-emaonly_1x512x512_se_unet-CPU_AND_NE | sd15 | CPU_AND_NE | 1641.1 | 0.2086 | 219.471 | 197.493 | 196.825 | 3949.9 | 399.0 | |
|
||||
| v1-5-pruned-emaonly_1x512x512_se_unet-CPU_AND_GPU | sd15 | CPU_AND_GPU | 1641.1 | 1.2334 | 1392.959 | 278.577 | 268.273 | 5571.5 | 2113.5 | |
|
||||
|
||||
## Notes
|
||||
|
||||
- forward_ms is the latency of a single Core ML UNet forward pass with synthetic inputs; with classifier-free guidance one sampler step typically maps to one batched forward (cond+uncond) — interpret est_e2e_ms accordingly.
|
||||
- peak_rss_mb is process RSS only and excludes ANE/wired GPU memory; treat as a floor.
|
||||
- quality_psnr is null unless --reference-images and --candidate-images are provided.
|
||||
- Latency varies run-to-run; 'min' is the most reproducible figure for comparisons.
|
||||
Reference in New Issue
Block a user