337 lines
27 KiB
Plaintext
337 lines
27 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-0524\dev\windows-portable-cpu\crash_dump.log
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[00:00]
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[00:00] [1/5] SYNTAX
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, server_url=None, api=None
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[00:00] Found pyproject.toml (modern format)
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[00:00] Found requirements.txt (legacy format)
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[00:00] Unicode check: OK (all characters cp1252-safe)
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[00:00] Forbidden patterns check: OK
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[00:00] [SYNTAX] PASSED
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[00:00]
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[00:00] [2/5] INSTALL
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[00:00] ----------------------------------------
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[00:00]
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[DEBUG] server=None, server_url=None, api=None
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[00:00]
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Setting up ComfyUI...
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[00:00] Fetching latest release version...
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[00:00] Latest version: v0.21.1
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[00:01] Downloading portable ComfyUI from https://github.com/comfyanonymous/ComfyUI/releases/download/v0.21.1/ComfyUI_windows_portable_nvidia.7z...
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[00:02] Downloaded: 10%
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[00:03] Downloaded: 20%
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[00:04] Downloaded: 30%
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[00:05] Downloaded: 40%
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[00:06] Downloaded: 50%
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[00:07] Downloaded: 60%
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[00:07] Downloaded: 70%
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[00:08] Downloaded: 80%
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[00:09] Downloaded: 90%
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[00:10] Downloaded: 100%
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[00:10] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:10] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:10] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:12] Using 7z: 7z
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[02:17] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:17] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui
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[02:42] Installing uv into embedded Python...
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[02:42] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[02:46] Installing ComfyUI requirements...
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[02:46] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[02:46]
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Installing custom node...
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[02:46] Copying ComfyUI-SAM3 to custom_nodes/...
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[02:46] Installing node requirements...
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[02:46] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\requirements.txt
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[02:49]
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Running install.py...
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[02:49] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-SAM3\install.py
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[02:50]
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[02:50] Installing 2 node dependencies...
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[02:50] Cloning ComfyUI-VideoHelperSuite...
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[02:50] Installing requirements for ComfyUI-VideoHelperSuite...
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[02:52] Cloning ComfyUI-Multiband...
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[02:52] Installing requirements for ComfyUI-Multiband...
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[02:53]
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[02:53] [requirements] Re-installing main package requirements...
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[02:53] Installing requirements for ComfyUI-SAM3...
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[02:54] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[02:54] [comfy-env] _discover: ComfyUI-Multiband: no comfy-env.toml found
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[02:54] [comfy-env] _discover: ComfyUI-SAM3 -> sam3-nodes (custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml)
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[02:54] [comfy-env] _discover: ComfyUI-VideoHelperSuite: no comfy-env.toml found
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[02:54] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[02:54] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[02:54] [comfy-env] Found 1 node config(s):
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[02:54] - sam3-nodes <- custom_nodes\ComfyUI-SAM3\nodes\comfy-env.toml (python=host)
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[02:54] [comfy-env] Bootstrap interpreter has python 3.13 + torch 2.11.0 (cu130). Looking for cuda-only wheels matching cu130/torch2.11/cp313.
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[02:56] [comfy-env] GPU: No GPU detected
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[02:56] [comfy-env] Comfyui feature -> torch 2.11.0 from https://download.pytorch.org/whl/cu130 (CUDA 13.0 via bootstrap torch)
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[02:56] [comfy-env] cuda-wheels: 3 package(s) need a matched (cuda, torch, python) combo: ['cc_torch', 'torch_generic_nms', 'flash-attn']
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[02:56] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[02:56] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[02:56] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[02:59] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[02:59] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[02:59] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[02:59] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[03:00] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:00] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:00] [cuda-wheels] Looking up cc_torch: cu130 torch2.11 cp313 win_amd64
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[03:00] [cuda-wheels] GH Pages index unreachable, falling back to GitHub Releases API...
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[03:01] [cuda-wheels] Found via API: cc_torch-0.2+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:01] [cuda-wheels] Looking up torch_generic_nms: cu130 torch2.11 cp313 win_amd64
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[03:01] [cuda-wheels] Found: torch_generic_nms-0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:01] [cuda-wheels] Looking up flash-attn: cu130 torch2.11 cp313 win_amd64
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[03:02] [cuda-wheels] Found: flash_attn-2.8.3+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:02] [comfy-env] sam3-nodes: cuda-wheels deferred for post-pixi install (cc_torch, torch_generic_nms, flash-attn)
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[03:02] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[03:02] [comfy-env] Installing 1 environment(s):
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[03:02] - sam3-nodes (python=host, 20 pypi deps, 3 cuda wheels)
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[03:02] [comfy-env] Running `pixi install -e sam3-nodes`...
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[03:25] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[03:25] - Scripts/.librsvg-pre-unlink.bat
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[03:25] To enable them, run:
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[03:25] pixi config set --local run-post-link-scripts insecure
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[03:25] More info:
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[03:25] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[04:19] The sam3-nodes environment has been installed.
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[04:19] [comfy-env] sam3-nodes: installing cuda-wheels with --no-deps (cc_torch, torch_generic_nms, flash-attn)
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[04:19] Using Python 3.13.13 environment at: .pixi\envs\sam3-nodes
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[04:20] Resolved 3 packages in 287ms
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[04:20] Downloading flash-attn (228.4MiB)
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[04:22] Downloaded flash-attn
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[04:22] Prepared 3 packages in 2.42s
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[04:22] Installed 3 packages in 73ms
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[04:22] + cc-torch==0.2+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cc_torch-latest/cc_torch-0.2%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[04:22] + flash-attn==2.8.3+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/flash_attn-latest/flash_attn-2.8.3%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[04:22] + torch-generic-nms==0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/torch_generic_nms-latest/torch_generic_nms-0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[04:22] [comfy-env] Recorded install hash 033282bb6f26 -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[04:22] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[04:22]
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[04:22] Installation complete!
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[04:23] Installing 2 node dependency(ies)...
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[04:23] ComfyUI-VideoHelperSuite from Kosinkadink/ComfyUI-VideoHelperSuite
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[04:23] ComfyUI-VideoHelperSuite already exists, skipping...
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[04:23] ComfyUI-Multiband from PozzettiAndrea/ComfyUI-Multiband
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[04:23] ComfyUI-Multiband already exists, skipping...
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[04:23] Installing validation endpoint...
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[04:23] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[04:23] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[04:23] CUDA packages absent (will mock): cc_torch, torch_generic_nms, flash_attn
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[04:23] [INSTALL] PASSED
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[04:23]
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[04:23] [3/5] REGISTRATION
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[04:23] ----------------------------------------
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[04:23]
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[DEBUG] server=None, server_url=None, api=None
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[04:23]
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Starting ComfyUI server...
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[04:23] Starting ComfyUI server on port 41884...
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[04:23] CUDA mock packages: cc_torch, torch_generic_nms, flash_attn
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[04:23] Starting ComfyUI server on port 41884...
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[04:23] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\SAM3-0524\server.log
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[04:23] Waiting for server to be ready (timeout: 600s)...
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[04:23] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[04:23] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[04:49] Server responding, waiting for nodes to load...
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[05:09] Server is ready!
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[05:09] Checking for import errors in server logs...
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[05:09] No import errors detected
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[05:09] Found 785 registered nodes
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[05:09] [REGISTRATION] PASSED
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[05:09]
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[05:09] [4/5] INSTANTIATION
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[05:09] ----------------------------------------
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[05:09]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000163B21BA550>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000163B50ADFD0>
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[05:09] Testing node constructors...
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[05:13] All 15 node(s) instantiated successfully!
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[05:13] [INSTANTIATION] PASSED
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[05:13]
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[05:13] [5/5] EXECUTION
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[05:13] ----------------------------------------
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[05:13]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000163B21BA550>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000163B50ADFD0>
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[05:13] CPU runner - will execute 4 workflow(s)
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[05:13] Running 5 workflow(s) (all with videos)...
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[05:13] Installing screenshot dependencies (playwright, pillow)...
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[05:16] Packages installed, downloading chromium browser...
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[05:30] Screenshot dependencies installed successfully
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[05:31] Starting headless browser...
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[05:31] Downloading Mesa llvmpipe for Windows...
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[05:35] Copied opengl32.dll to Chromium dir
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[05:35] Copied libgallium_wgl.dll to Chromium dir
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[05:35] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[05:35] Capturing execution frames: image_seg_point.json
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[05:45] Frame 1 saved (frame_000.jpg, t=0.0s)
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[05:45] Validating workflow...
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[05:45] Queuing workflow for execution...
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[05:48] Frame 2 saved (frame_001.jpg, t=2.5s)
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[05:48] [capture-periodic] freeze=5ms shot=120ms unfreeze=7ms saved=True
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[05:50] Frame 3 saved (frame_002.jpg, t=4.8s)
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[05:50] [capture-periodic] freeze=5ms shot=105ms unfreeze=8ms saved=True
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[05:53] [capture-loop] iter=50 t=6.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.0/16.0GB (37%) swap=0.2/2.9GB (6%) cpu=38% browser_rss=0.70GB
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[05:56] Node executed (1 total), capturing...
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[05:56] Frame 4 saved (frame_003.jpg, t=11.0s)
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[05:56] [capture-node] freeze=6ms shot=149ms unfreeze=7ms saved=True
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[05:58] Frame 5 saved (frame_004.jpg, t=13.2s)
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[05:58] [capture-periodic] freeze=6ms shot=134ms unfreeze=6ms saved=True
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[06:00] [capture-loop] iter=100 t=14.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=9 ram=6.3/16.0GB (40%) swap=0.3/2.9GB (11%) cpu=43% browser_rss=0.72GB
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[06:00] Frame 6 saved (frame_005.jpg, t=15.4s)
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[06:00] [capture-periodic] freeze=9ms shot=132ms unfreeze=12ms saved=True
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[06:03] Frame 7 saved (frame_006.jpg, t=17.6s)
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[06:03] [capture-periodic] freeze=5ms shot=132ms unfreeze=8ms saved=True
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[06:05] Frame 8 saved (frame_007.jpg, t=19.8s)
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[06:05] [capture-periodic] freeze=4ms shot=128ms unfreeze=7ms saved=True
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[06:06] [capture-loop] iter=150 t=20.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (44%) swap=0.3/2.9GB (9%) cpu=52% browser_rss=0.71GB
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[06:07] Frame 9 saved (frame_008.jpg, t=22.0s)
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[06:07] [capture-periodic] freeze=4ms shot=120ms unfreeze=5ms saved=True
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[06:09] Frame 10 saved (frame_009.jpg, t=24.2s)
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[06:09] [capture-periodic] freeze=14ms shot=136ms unfreeze=7ms saved=True
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[06:12] Frame 11 saved (frame_010.jpg, t=26.5s)
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[06:12] [capture-periodic] freeze=6ms shot=147ms unfreeze=6ms saved=True
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[06:12] [capture-loop] iter=200 t=26.9s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.4/16.0GB (46%) swap=0.3/2.9GB (9%) cpu=32% browser_rss=0.72GB
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[06:14] Frame 12 saved (frame_011.jpg, t=28.8s)
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[06:14] [capture-periodic] freeze=5ms shot=111ms unfreeze=6ms saved=True
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[06:16] Frame 13 saved (frame_012.jpg, t=31.1s)
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[06:16] [capture-periodic] freeze=6ms shot=126ms unfreeze=5ms saved=True
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[06:18] [capture-loop] iter=250 t=32.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.8/16.0GB (49%) swap=0.3/2.9GB (9%) cpu=41% browser_rss=0.72GB
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[06:18] Frame 14 saved (frame_013.jpg, t=33.2s)
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[06:18] [capture-periodic] freeze=5ms shot=120ms unfreeze=5ms saved=True
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[06:24] [capture-loop] iter=300 t=38.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=7.4/16.0GB (46%) swap=0.3/2.9GB (9%) cpu=31% browser_rss=0.64GB
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[06:30] [capture-loop] iter=350 t=44.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.3/2.9GB (9%) cpu=51% browser_rss=0.63GB
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[06:35] [capture-loop] iter=400 t=50.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.1/16.0GB (45%) swap=0.3/2.9GB (9%) cpu=74% browser_rss=0.63GB
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[06:41] [capture-loop] iter=450 t=56.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.4/16.0GB (40%) swap=0.7/2.9GB (24%) cpu=73% browser_rss=0.36GB
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[06:48] [capture-loop] iter=500 t=62.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.3/16.0GB (40%) swap=0.7/2.9GB (24%) cpu=71% browser_rss=0.37GB
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[06:54] [capture-loop] iter=550 t=68.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=10 ram=6.4/16.0GB (40%) swap=0.7/2.9GB (24%) cpu=68% browser_rss=0.39GB
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[07:00] [capture-loop] iter=600 t=74.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=6.9/16.0GB (43%) swap=0.7/2.9GB (24%) cpu=64% browser_rss=0.39GB
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[07:06] [capture-loop] iter=650 t=80.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=7.2/16.0GB (45%) swap=0.7/2.9GB (24%) cpu=65% browser_rss=0.39GB
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[07:12] [capture-loop] iter=700 t=86.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=7.0/16.0GB (44%) swap=0.7/2.9GB (24%) cpu=62% browser_rss=0.39GB
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[07:17] [capture-loop] iter=750 t=92.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=9.5/16.0GB (60%) swap=0.7/2.9GB (24%) cpu=62% browser_rss=0.39GB
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[07:23] [capture-loop] iter=800 t=98.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=7.4/16.0GB (46%) swap=0.7/2.9GB (24%) cpu=59% browser_rss=0.39GB
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[07:25] Node executed (3 total), capturing...
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[07:25] Frame 15 saved (frame_014.jpg, t=100.0s)
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[07:25] [capture-node] freeze=5ms shot=139ms unfreeze=0ms saved=True
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[07:25] Execution complete (t=100.0s)
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[07:25] Captured 15 unique frames over 100.17s
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[07:25] [debug] iframes: 0
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[07:25] [timing] trigger_3d_previews: 0.0s
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[07:27] Saved high-quality screenshot: image_seg_point_executed.png
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[07:27] [timing] final_screenshot: 0.3s
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[07:28] Capturing execution frames: image_seg_text.json
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[07:34] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[07:34] Validating workflow...
|
|
[07:34] Queuing workflow for execution...
|
|
[07:36] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[07:36] [capture-periodic] freeze=6ms shot=126ms unfreeze=7ms saved=True
|
|
[07:38] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[07:38] [capture-periodic] freeze=7ms shot=128ms unfreeze=8ms saved=True
|
|
[07:40] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.9/16.0GB (37%) swap=0.7/2.9GB (23%) cpu=45% browser_rss=0.59GB
|
|
[07:46] [capture-loop] iter=100 t=12.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (40%) swap=0.7/2.9GB (23%) cpu=82% browser_rss=0.59GB
|
|
[07:52] [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.6/16.0GB (41%) swap=0.8/2.9GB (27%) cpu=87% browser_rss=0.58GB
|
|
[07:57] [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=6.5/16.0GB (41%) swap=0.8/2.9GB (27%) cpu=67% browser_rss=0.58GB
|
|
[08:04] [capture-loop] iter=250 t=30.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.5/16.0GB (41%) swap=0.7/2.9GB (23%) cpu=81% browser_rss=0.50GB
|
|
[08:10] [capture-loop] iter=300 t=36.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.7/16.0GB (42%) swap=0.7/2.9GB (23%) cpu=87% browser_rss=0.48GB
|
|
[08:16] [capture-loop] iter=350 t=42.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.9/16.0GB (43%) swap=0.8/2.9GB (27%) cpu=90% browser_rss=0.48GB
|
|
[08:22] [capture-loop] iter=400 t=48.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=6.8/16.0GB (43%) swap=0.8/2.9GB (27%) cpu=89% browser_rss=0.48GB
|
|
[08:28] [capture-loop] iter=450 t=54.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.0/16.0GB (44%) swap=0.8/2.9GB (27%) cpu=85% browser_rss=0.48GB
|
|
[08:34] [capture-loop] iter=500 t=60.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=7.2/16.0GB (45%) swap=1.0/2.9GB (34%) cpu=88% browser_rss=0.48GB
|
|
[08:40] [capture-loop] iter=550 t=66.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.1/16.0GB (57%) swap=1.0/2.9GB (34%) cpu=82% browser_rss=0.48GB
|
|
[08:46] [capture-loop] iter=600 t=72.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.5/16.0GB (53%) swap=1.1/2.9GB (37%) cpu=95% browser_rss=0.48GB
|
|
[08:49] Node executed (1 total), capturing...
|
|
[08:50] Frame 4 saved (frame_003.jpg, t=75.9s)
|
|
[08:50] [capture-node] freeze=6ms shot=139ms unfreeze=7ms saved=True
|
|
[08:50] Node executed (2 total), capturing...
|
|
[08:50] Frame 5 saved (frame_004.jpg, t=76.4s)
|
|
[08:50] [capture-node] freeze=5ms shot=131ms unfreeze=0ms saved=True
|
|
[08:50] Execution complete (t=76.4s)
|
|
[08:50] Captured 5 unique frames over 76.54s
|
|
[08:50] [debug] iframes: 0
|
|
[08:50] [timing] trigger_3d_previews: 0.0s
|
|
[08:52] Saved high-quality screenshot: image_seg_text_executed.png
|
|
[08:52] [timing] final_screenshot: 0.2s
|
|
[08:53] Capturing execution frames: scene_seg.json
|
|
[08:59] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[08:59] Validating workflow...
|
|
[08:59] Queuing workflow for execution...
|
|
[09:01] Node executed (1 total), capturing...
|
|
[09:01] Frame 2 saved (frame_001.jpg, t=2.1s)
|
|
[09:01] [capture-node] freeze=25ms shot=250ms unfreeze=7ms saved=True
|
|
[09:03] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[09:03] [capture-periodic] freeze=5ms shot=226ms unfreeze=10ms saved=True
|
|
[09:05] [capture-loop] iter=50 t=6.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=9.7/16.0GB (60%) swap=1.1/2.9GB (37%) cpu=52% browser_rss=1.54GB
|
|
[09:11] [capture-loop] iter=100 t=12.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=10.9/16.0GB (68%) swap=1.1/2.9GB (37%) cpu=62% browser_rss=1.52GB
|
|
[09:18] [capture-loop] iter=150 t=19.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=7 ram=8.4/16.0GB (52%) swap=2.1/2.9GB (72%) cpu=71% browser_rss=0.91GB
|
|
[09:24] [capture-loop] iter=200 t=25.2s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=1.9/2.9GB (68%) cpu=62% browser_rss=0.99GB
|
|
[09:30] [capture-loop] iter=250 t=31.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=1.9/2.9GB (67%) cpu=73% browser_rss=0.99GB
|
|
[09:36] [capture-loop] iter=300 t=37.4s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (54%) swap=1.9/2.9GB (67%) cpu=74% browser_rss=0.99GB
|
|
[09:42] [capture-loop] iter=350 t=43.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (53%) swap=1.9/2.9GB (66%) cpu=80% browser_rss=0.99GB
|
|
[09:49] [capture-loop] iter=400 t=49.8s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=1.9/2.9GB (65%) cpu=73% browser_rss=0.99GB
|
|
[09:55] [capture-loop] iter=450 t=56.0s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=8.5/16.0GB (53%) swap=1.9/2.9GB (65%) cpu=79% browser_rss=0.99GB
|
|
[09:59] Frame 4 saved (frame_003.jpg, t=60.1s)
|
|
[09:59] [capture-periodic] freeze=17ms shot=189ms unfreeze=14ms saved=True
|
|
[10:01] [capture-loop] iter=500 t=62.1s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=9 ram=9.4/16.0GB (59%) swap=1.9/2.9GB (65%) cpu=76% browser_rss=1.01GB
|
|
[10:01] Frame 5 saved (frame_004.jpg, t=62.5s)
|
|
[10:01] [capture-periodic] freeze=19ms shot=190ms unfreeze=7ms saved=True
|
|
[10:07] [capture-loop] iter=550 t=68.6s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=6 ram=11.3/16.0GB (71%) swap=1.9/2.9GB (65%) cpu=89% browser_rss=1.01GB
|
|
[10:13] Frame 6 saved (frame_005.jpg, t=73.8s)
|
|
[10:13] [capture-periodic] freeze=6ms shot=184ms unfreeze=11ms saved=True
|
|
[10:13] [capture-loop] iter=600 t=74.7s state={'complete': False, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=5 ram=9.5/16.0GB (60%) swap=1.9/2.9GB (64%) cpu=56% browser_rss=1.16GB
|
|
[10:17] Node executed (2 total), capturing...
|
|
[10:18] Frame 7 saved (frame_006.jpg, t=78.5s)
|
|
[10:18] [capture-node] freeze=6ms shot=630ms unfreeze=4ms saved=True
|
|
[10:19] Node executed (3 total), capturing...
|
|
[10:20] Frame 8 saved (frame_007.jpg, t=80.5s)
|
|
[10:20] [capture-node] freeze=84ms shot=769ms unfreeze=8ms saved=True
|
|
[10:20] Node executed (4 total), capturing...
|
|
[10:21] Frame 9 saved (frame_008.jpg, t=81.7s)
|
|
[10:21] [capture-node] freeze=5ms shot=168ms unfreeze=0ms saved=True
|
|
[10:21] Execution complete (t=81.7s)
|
|
[10:21] Captured 9 unique frames over 81.87s
|
|
[10:21] [debug] iframes: 0
|
|
[10:21] [timing] trigger_3d_previews: 0.0s
|
|
[10:23] Saved high-quality screenshot: scene_seg_executed.png
|
|
[10:23] [timing] final_screenshot: 0.3s
|
|
[10:23] Capturing execution frames: scene_seg_interactive.json
|
|
[10:30] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[10:30] Validating workflow...
|
|
[10:30] Queuing workflow for execution...
|
|
[10:32] Frame 2 saved (frame_001.jpg, t=2.2s)
|
|
[10:32] [capture-periodic] freeze=5ms shot=118ms unfreeze=7ms saved=True
|
|
[10:34] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[10:34] [capture-periodic] freeze=6ms shot=140ms unfreeze=6ms saved=True
|
|
[10:36] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=7.2/16.0GB (45%) swap=1.6/4.1GB (40%) cpu=41% browser_rss=1.17GB
|
|
[10:42] [capture-loop] iter=100 t=12.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=7.2/16.0GB (45%) swap=1.6/4.1GB (40%) cpu=80% browser_rss=1.00GB
|
|
[10:48] [capture-loop] iter=150 t=18.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=7.4/16.0GB (46%) swap=1.6/2.9GB (57%) cpu=70% browser_rss=0.99GB
|
|
[10:54] [capture-loop] iter=200 t=24.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.5/16.0GB (47%) swap=1.6/2.9GB (56%) cpu=68% browser_rss=0.99GB
|
|
[11:00] [capture-loop] iter=250 t=30.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.7/16.0GB (48%) swap=1.6/2.9GB (56%) cpu=79% browser_rss=0.99GB
|
|
[11:06] [capture-loop] iter=300 t=36.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.2/16.0GB (51%) swap=1.6/2.9GB (56%) cpu=65% browser_rss=1.00GB
|
|
[11:12] [capture-loop] iter=350 t=42.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.1/16.0GB (51%) swap=1.6/2.9GB (56%) cpu=64% browser_rss=0.99GB
|
|
[11:18] [capture-loop] iter=400 t=47.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.6/2.9GB (56%) cpu=61% browser_rss=0.99GB
|
|
[11:24] [capture-loop] iter=450 t=53.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.6/2.9GB (56%) cpu=57% browser_rss=0.99GB
|
|
[11:30] [capture-loop] iter=500 t=59.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.6/2.9GB (56%) cpu=61% browser_rss=0.99GB
|
|
[11:35] [capture-loop] iter=550 t=65.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=10.6/16.0GB (66%) swap=1.6/2.9GB (55%) cpu=65% browser_rss=1.00GB
|
|
[11:36] Frame 4 saved (frame_003.jpg, t=66.1s)
|
|
[11:36] [capture-periodic] freeze=6ms shot=141ms unfreeze=6ms saved=True
|
|
[11:39] Node executed (1 total), capturing...
|
|
[11:40] Frame 5 saved (frame_004.jpg, t=69.7s)
|
|
[11:40] [capture-node] freeze=61ms shot=400ms unfreeze=11ms saved=True
|
|
[11:40] Node executed (2 total), capturing...
|
|
[11:40] Frame 6 saved (frame_005.jpg, t=70.5s)
|
|
[11:40] [capture-node] freeze=4ms shot=140ms unfreeze=0ms saved=True
|
|
[11:40] Execution complete (t=70.5s)
|
|
[11:40] Captured 6 unique frames over 70.65s
|
|
[11:40] [debug] iframes: 0
|
|
[11:40] [timing] trigger_3d_previews: 0.0s
|
|
[11:43] Saved high-quality screenshot: scene_seg_interactive_executed.png
|
|
[11:43] [timing] final_screenshot: 0.3s
|
|
[11:43] [5/5] SKIPPED (not in cpu list) video_point_prompt.json
|
|
[11:44] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-0524\dev\windows-portable-cpu\results.json
|
|
[11:44] Model report: 9 files, 3.2 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-0524\dev\windows-portable-cpu\models.json
|
|
[11:44] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\SAM3-0524\dev\windows-portable-cpu\index.html
|
|
[11:44] [EXECUTION] PASSED
|
|
[11:44]
|
|
windows_portable: PASSED
|
|
[11:44] Stopping ComfyUI server...
|