312 lines
29 KiB
Plaintext
312 lines
29 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1943\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, 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, 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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[00:00] 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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[00:05] Downloaded: 50%
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[00:06] 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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[00:11] Using 7z: 7z
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[02:19] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:19] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui
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[02:38] Installing uv into embedded Python...
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[02:38] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[02:42] Installing ComfyUI requirements...
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[02:42] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m uv pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[02:42]
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Installing custom node...
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[02:42] Copying ComfyUI-Sharp to custom_nodes/...
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[02:42] Installing node requirements...
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[02:42] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\requirements.txt
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[02:53]
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Running install.py...
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[02:53] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\install.py
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[02:53]
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[02:53] Installing 1 node dependencies...
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[02:53] Cloning ComfyUI-GeometryPack...
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[02:59] Installing requirements for ComfyUI-GeometryPack...
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[03:03] Running install.py for ComfyUI-GeometryPack...
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[03:05] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[03:05] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[03:05] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[03:05] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[03:05] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[03:05] [comfy-env] Found 2 node config(s):
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[03:05] - geometrypack-nodes <- custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml (python=host)
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[03:05] - sharp-nodes <- custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml (python=host)
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[03:05] [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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[03:07] [comfy-env] GPU: No GPU detected
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[03:07] [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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[03:07] [comfy-env] cuda-wheels: 1 package(s) need a matched (cuda, torch, python) combo: ['cumesh']
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[03:07] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[03:07] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:07] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:07] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[03:07] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[03:08] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[03:08] [comfy-env] geometrypack-nodes: cuda-wheels deferred for post-pixi install (cumesh)
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[03:08] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[03:08] [comfy-env] Installing 2 environment(s):
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[03:08] - geometrypack-nodes (python=host, 14 pypi deps, 1 cuda wheels)
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[03:08] - sharp-nodes (python=host, 10 pypi deps)
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[03:08] [comfy-env] Running `pixi install -e geometrypack-nodes -e sharp-nodes`...
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[05:20] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[05:20] - Scripts/.librsvg-pre-unlink.bat
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[05:20] To enable them, run:
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[05:20] pixi config set --local run-post-link-scripts insecure
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[05:20] More info:
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[05:20] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[05:38] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[05:38] - Scripts/.librsvg-pre-unlink.bat
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[05:38] To enable them, run:
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[05:38] pixi config set --local run-post-link-scripts insecure
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[05:38] More info:
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[05:38] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[06:37] The following environments have been installed: geometrypack-nodes, sharp-nodes.
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[06:37] [comfy-env] geometrypack-nodes: installing cuda-wheels with --no-deps (cumesh)
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[06:37] Using Python 3.13.13 environment at: .pixi\envs\geometrypack-nodes
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[06:38] Resolved 1 package in 703ms
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[06:38] Downloading cumesh (3.8MiB)
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[06:38] Downloaded cumesh
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[06:38] Prepared 1 package in 109ms
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[06:38] Installed 1 package in 32ms
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[06:38] + cumesh==0.0.1+cu130torch2.11 (from https://github.com/PozzettiAndrea/cuda-wheels/releases/download/cumesh-latest/cumesh-0.0.1%2Bcu130torch2.11-cp313-cp313-win_amd64.whl)
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[06:38] [comfy-env] Recorded install hash 289ba018900b -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[06:38] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[06:38]
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[06:38] Installation complete!
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[06:39]
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[06:39] [requirements] Re-installing main package requirements...
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[06:39] Installing requirements for ComfyUI-Sharp...
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[06:39] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[06:39] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[06:39] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[06:39] [comfy-env] Workspace inputs unchanged (hash 289ba018900b) -- skipping install. Delete C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash to force.
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[06:39]
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[06:39] Installation complete!
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[06:39] Installing 1 node dependency(ies)...
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[06:39] ComfyUI-GeometryPack from PozzettiAndrea/ComfyUI-GeometryPack
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[06:39] ComfyUI-GeometryPack already exists, skipping...
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[06:39] Installing validation endpoint...
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[06:39] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[06:39] Running: git clone --depth 1 https://x-access-token:***@github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[06:40] [INSTALL] PASSED
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[06:40]
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[06:40] [3/5] REGISTRATION
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[06:40] ----------------------------------------
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[06:40]
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[DEBUG] server=None, api=None
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[06:40]
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Starting ComfyUI server...
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[06:40] Starting ComfyUI server on port 41889...
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[06:40] Starting ComfyUI server on port 41889...
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[06:40] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1943\server.log
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[06:40] Waiting for server to be ready (timeout: 600s)...
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[06:40] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[06:40] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[07:17] Server responding, waiting for nodes to load...
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[07:37] Server is ready!
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[07:37] Checking for import errors in server logs...
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[07:37] No import errors detected
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[07:37] Found 848 registered nodes
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[07:37] [REGISTRATION] PASSED
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[07:37]
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[07:37] [4/5] INSTANTIATION
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[07:37] ----------------------------------------
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[07:37]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000020D8B019940>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000020D8B01A900>
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[07:37] Testing node constructors...
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[07:40] All 8 node(s) instantiated successfully!
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[07:40] [INSTANTIATION] PASSED
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[07:40]
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[07:40] [5/5] EXECUTION
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[07:40] ----------------------------------------
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[07:40]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x0000020D8B019940>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x0000020D8B01A900>
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[07:40] CPU runner - will execute 2 workflow(s)
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[07:40] Running 3 workflow(s) (all with videos)...
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[07:40] Installing screenshot dependencies (playwright, pillow)...
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[07:45] Packages installed, downloading chromium browser...
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[07:57] Screenshot dependencies installed successfully
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[07:58] Starting headless browser...
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[07:59] Downloading Mesa llvmpipe for Windows...
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[08:03] Copied opengl32.dll to Chromium dir
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[08:04] Copied libgallium_wgl.dll to Chromium dir
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[08:04] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[08:06] [1/3] SKIPPED (not in cpu list) pano.json
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[08:06] Capturing execution frames: sharp_basic.json
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[08:15] Frame 1 saved (frame_000.jpg, t=0.0s)
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[08:15] Validating workflow...
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[08:15] Queuing workflow for execution...
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[08:17] Frame 2 saved (frame_001.jpg, t=2.2s)
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[08:17] [capture-periodic] freeze=8ms shot=124ms unfreeze=4ms saved=True
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[08:19] Frame 3 saved (frame_002.jpg, t=4.5s)
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[08:19] [capture-periodic] freeze=3ms shot=105ms unfreeze=3ms saved=True
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[08:22] [capture-loop] iter=50 t=6.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=24 ram=6.3/16.0GB (40%) swap=0.3/2.9GB (12%) cpu=43% browser_rss=0.72GB
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[08:22] Frame 4 saved (frame_003.jpg, t=6.3s)
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[08:22] [capture-periodic] freeze=28ms shot=210ms unfreeze=6ms saved=True
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[08:25] Frame 5 saved (frame_004.jpg, t=9.5s)
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[08:25] [capture-periodic] freeze=55ms shot=273ms unfreeze=5ms saved=True
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[08:27] Frame 6 saved (frame_005.jpg, t=11.9s)
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[08:27] [capture-periodic] freeze=15ms shot=198ms unfreeze=5ms saved=True
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[08:29] Frame 7 saved (frame_006.jpg, t=14.2s)
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[08:29] [capture-periodic] freeze=4ms shot=114ms unfreeze=4ms saved=True
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[08:30] [capture-loop] iter=100 t=14.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=6.2/16.0GB (39%) swap=0.3/2.9GB (12%) cpu=80% browser_rss=0.74GB
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[08:35] [capture-loop] iter=150 t=20.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=6.2/16.0GB (38%) swap=0.3/2.9GB (12%) cpu=46% browser_rss=0.73GB
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[08:41] [capture-loop] iter=200 t=26.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=7.1/16.0GB (45%) swap=0.3/2.9GB (12%) cpu=62% browser_rss=0.66GB
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[08:47] [capture-loop] iter=250 t=32.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.8/16.0GB (55%) swap=0.3/2.9GB (12%) cpu=84% browser_rss=0.66GB
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[08:54] [capture-loop] iter=300 t=39.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.3/2.9GB (12%) cpu=89% browser_rss=0.65GB
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[09:00] [capture-loop] iter=350 t=45.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.8/16.0GB (55%) swap=0.3/2.9GB (12%) cpu=88% browser_rss=0.65GB
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[09:06] [capture-loop] iter=400 t=51.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=0.4/2.9GB (15%) cpu=87% browser_rss=0.62GB
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[09:12] [capture-loop] iter=450 t=57.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (15%) cpu=77% browser_rss=0.61GB
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[09:18] [capture-loop] iter=500 t=63.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.7/16.0GB (54%) swap=0.4/2.9GB (15%) cpu=77% browser_rss=0.60GB
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[09:24] [capture-loop] iter=550 t=69.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (15%) cpu=77% browser_rss=0.59GB
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[09:30] [capture-loop] iter=600 t=75.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.8/16.0GB (55%) swap=0.4/2.9GB (15%) cpu=78% browser_rss=0.59GB
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[09:36] [capture-loop] iter=650 t=81.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (15%) cpu=81% browser_rss=0.59GB
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[09:42] [capture-loop] iter=700 t=87.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.7/16.0GB (55%) swap=0.4/2.9GB (15%) cpu=79% browser_rss=0.59GB
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[09:49] [capture-loop] iter=750 t=93.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.8/16.0GB (55%) swap=0.4/2.9GB (15%) cpu=90% browser_rss=0.59GB
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[09:55] [capture-loop] iter=800 t=100.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.9/16.0GB (55%) swap=0.4/2.9GB (15%) cpu=92% browser_rss=0.59GB
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[10:01] [capture-loop] iter=850 t=106.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.8/16.0GB (55%) swap=0.4/2.9GB (15%) cpu=87% browser_rss=0.59GB
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[10:07] [capture-loop] iter=900 t=112.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.7/16.0GB (54%) swap=0.4/2.9GB (15%) cpu=83% browser_rss=0.59GB
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[10:13] [capture-loop] iter=950 t=118.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.6/2.9GB (19%) cpu=82% browser_rss=0.59GB
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[10:19] [capture-loop] iter=1000 t=124.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.6/16.0GB (54%) swap=0.6/2.9GB (19%) cpu=82% browser_rss=0.59GB
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[10:25] [capture-loop] iter=1050 t=130.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.6/16.0GB (54%) swap=0.6/2.9GB (19%) cpu=82% browser_rss=0.58GB
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[10:31] [capture-loop] iter=1100 t=136.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.6/16.0GB (54%) swap=0.6/2.9GB (19%) cpu=79% browser_rss=0.58GB
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[10:38] [capture-loop] iter=1150 t=142.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.6/2.9GB (19%) cpu=77% browser_rss=0.58GB
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[10:44] [capture-loop] iter=1200 t=149.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.3/16.0GB (58%) swap=0.6/2.9GB (19%) cpu=75% browser_rss=0.57GB
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[10:50] [capture-loop] iter=1250 t=155.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.5/16.0GB (60%) swap=0.7/2.9GB (23%) cpu=84% browser_rss=0.56GB
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[10:56] [capture-loop] iter=1300 t=161.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=10.2/16.0GB (64%) swap=0.7/2.9GB (26%) cpu=86% browser_rss=0.56GB
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[11:02] [capture-loop] iter=1350 t=167.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=16 ram=11.0/16.0GB (69%) swap=0.8/2.9GB (29%) cpu=77% browser_rss=0.55GB
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[11:08] [capture-loop] iter=1400 t=173.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=11.6/16.0GB (72%) swap=0.8/2.9GB (28%) cpu=86% browser_rss=0.55GB
|
|
[11:14] [capture-loop] iter=1450 t=179.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.6/16.0GB (60%) swap=0.8/2.9GB (28%) cpu=78% browser_rss=0.53GB
|
|
[11:20] [capture-loop] iter=1500 t=185.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.0/16.0GB (56%) swap=0.9/2.9GB (30%) cpu=78% browser_rss=0.52GB
|
|
[11:27] [capture-loop] iter=1550 t=191.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=10.6/16.0GB (67%) swap=0.9/2.9GB (30%) cpu=74% browser_rss=0.52GB
|
|
[11:33] [capture-loop] iter=1600 t=198.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=10.8/16.0GB (68%) swap=0.9/2.9GB (30%) cpu=75% browser_rss=0.51GB
|
|
[11:39] [capture-loop] iter=1650 t=204.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=10.4/16.0GB (65%) swap=0.9/2.9GB (30%) cpu=86% browser_rss=0.50GB
|
|
[11:45] [capture-loop] iter=1700 t=210.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.1/16.0GB (57%) swap=0.9/2.9GB (30%) cpu=84% browser_rss=0.49GB
|
|
[11:51] [capture-loop] iter=1750 t=215.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.9/16.0GB (56%) swap=0.9/2.9GB (30%) cpu=54% browser_rss=0.48GB
|
|
[11:52] Frame 8 saved (frame_007.jpg, t=217.2s)
|
|
[11:52] [capture-periodic] freeze=3ms shot=121ms unfreeze=4ms saved=True
|
|
[11:56] [capture-loop] iter=1800 t=221.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.1/16.0GB (57%) swap=0.9/2.9GB (30%) cpu=31% browser_rss=0.47GB
|
|
[12:02] [capture-loop] iter=1850 t=227.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.1/16.0GB (57%) swap=0.9/2.9GB (30%) cpu=29% browser_rss=0.47GB
|
|
[12:08] [capture-loop] iter=1900 t=233.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.2/16.0GB (58%) swap=0.9/2.9GB (30%) cpu=23% browser_rss=0.47GB
|
|
[12:13] [capture-loop] iter=1950 t=238.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.1/16.0GB (57%) swap=1.0/2.9GB (35%) cpu=25% browser_rss=0.47GB
|
|
[12:19] [capture-loop] iter=2000 t=244.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.2/16.0GB (57%) swap=1.0/2.9GB (35%) cpu=28% browser_rss=0.46GB
|
|
[12:20] Node executed (1 total), capturing...
|
|
[12:20] Frame 9 saved (frame_008.jpg, t=245.6s)
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|
[12:20] [capture-node] freeze=5ms shot=146ms unfreeze=0ms saved=True
|
|
[12:20] Execution complete (t=245.6s)
|
|
[12:20] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[12:22] [3d-wait] Phase 1 done in 1.4s
|
|
[12:22] [3d-wait] Phase 2: iframes=1
|
|
[12:22] [3d-wait] iframe viewer_ready=True (matched 1 console logs)
|
|
[12:22] [3d-wait] Unfrozen in 0.003s, rendering for 5s...
|
|
[12:36] [3d-wait] JS halted via CDP after 14.6s
|
|
[13:19] [3d-wait] Re-frozen in 56.9s
|
|
[13:19] [3d-wait] Total 3D wait: 58.3s
|
|
[13:19] Captured 9 unique frames over 304.18s
|
|
[13:19] [debug] iframes: 1
|
|
[13:19] [debug] iframe[0]: src=http://127.0.0.1:41889/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=1536x1024, rafFrozen=True
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|
[13:19] [timing] trigger_3d_previews: 0.0s
|
|
[13:21] Saved high-quality screenshot: sharp_basic_executed.png
|
|
[13:21] [timing] final_screenshot: 0.3s
|
|
[13:21] Capturing execution frames: sharp_exif.json
|
|
[13:28] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[13:28] Validating workflow...
|
|
[13:28] Queuing workflow for execution...
|
|
[13:30] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[13:30] [capture-periodic] freeze=5ms shot=131ms unfreeze=4ms saved=True
|
|
[13:32] Frame 3 saved (frame_002.jpg, t=4.6s)
|
|
[13:32] [capture-periodic] freeze=5ms shot=125ms unfreeze=4ms saved=True
|
|
[13:34] [capture-loop] iter=50 t=6.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.2/16.0GB (33%) swap=1.0/2.9GB (35%) cpu=85% browser_rss=0.67GB
|
|
[13:35] Frame 4 saved (frame_003.jpg, t=6.8s)
|
|
[13:35] [capture-periodic] freeze=4ms shot=113ms unfreeze=4ms saved=True
|
|
[13:40] [capture-loop] iter=100 t=11.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=6.3/16.0GB (39%) swap=1.0/2.9GB (35%) cpu=43% browser_rss=0.60GB
|
|
[13:45] [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (35%) cpu=53% browser_rss=0.60GB
|
|
[13:52] [capture-loop] iter=200 t=23.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (35%) cpu=81% browser_rss=0.60GB
|
|
[13:58] [capture-loop] iter=250 t=30.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (35%) cpu=79% browser_rss=0.60GB
|
|
[14:04] [capture-loop] iter=300 t=36.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=77% browser_rss=0.60GB
|
|
[14:10] [capture-loop] iter=350 t=42.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=78% browser_rss=0.60GB
|
|
[14:16] [capture-loop] iter=400 t=48.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (34%) cpu=79% browser_rss=0.60GB
|
|
[14:22] [capture-loop] iter=450 t=54.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=79% browser_rss=0.59GB
|
|
[14:29] [capture-loop] iter=500 t=60.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=80% browser_rss=0.59GB
|
|
[14:35] [capture-loop] iter=550 t=67.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=81% browser_rss=0.59GB
|
|
[14:41] [capture-loop] iter=600 t=73.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (34%) cpu=78% browser_rss=0.59GB
|
|
[14:47] [capture-loop] iter=650 t=79.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (34%) cpu=77% browser_rss=0.58GB
|
|
[14:53] [capture-loop] iter=700 t=85.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=78% browser_rss=0.58GB
|
|
[14:59] [capture-loop] iter=750 t=91.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=79% browser_rss=0.58GB
|
|
[15:05] [capture-loop] iter=800 t=97.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=78% browser_rss=0.58GB
|
|
[15:11] [capture-loop] iter=850 t=103.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (34%) cpu=78% browser_rss=0.58GB
|
|
[15:18] [capture-loop] iter=900 t=109.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=27 ram=8.5/16.0GB (53%) swap=1.1/2.9GB (38%) cpu=88% browser_rss=0.59GB
|
|
[15:24] [capture-loop] iter=950 t=116.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.3/16.0GB (52%) swap=1.1/2.9GB (38%) cpu=95% browser_rss=0.59GB
|
|
[15:30] [capture-loop] iter=1000 t=122.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.3/16.0GB (52%) swap=1.1/2.9GB (38%) cpu=76% browser_rss=0.59GB
|
|
[15:36] [capture-loop] iter=1050 t=128.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.6/16.0GB (54%) swap=1.1/2.9GB (38%) cpu=76% browser_rss=0.59GB
|
|
[15:42] [capture-loop] iter=1100 t=134.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=9.2/16.0GB (58%) swap=1.1/2.9GB (38%) cpu=81% browser_rss=0.59GB
|
|
[15:49] [capture-loop] iter=1150 t=140.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=10.6/16.0GB (67%) swap=1.2/2.9GB (42%) cpu=82% browser_rss=0.59GB
|
|
[15:55] [capture-loop] iter=1200 t=147.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.9/16.0GB (62%) swap=1.2/2.9GB (42%) cpu=79% browser_rss=0.59GB
|
|
[16:01] [capture-loop] iter=1250 t=153.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=11.4/16.0GB (72%) swap=1.5/2.9GB (53%) cpu=80% browser_rss=0.59GB
|
|
[16:07] [capture-loop] iter=1300 t=159.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.1/16.0GB (63%) swap=1.5/2.9GB (53%) cpu=83% browser_rss=0.58GB
|
|
[16:13] [capture-loop] iter=1350 t=165.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=12.2/16.0GB (76%) swap=1.6/2.9GB (55%) cpu=81% browser_rss=0.56GB
|
|
[16:20] [capture-loop] iter=1400 t=171.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/16.0GB (59%) swap=1.6/2.9GB (55%) cpu=75% browser_rss=0.54GB
|
|
[16:26] [capture-loop] iter=1450 t=178.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.1/16.0GB (57%) swap=1.6/2.9GB (55%) cpu=76% browser_rss=0.53GB
|
|
[16:32] [capture-loop] iter=1500 t=184.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.0/16.0GB (62%) swap=1.6/2.9GB (55%) cpu=75% browser_rss=0.51GB
|
|
[16:38] [capture-loop] iter=1550 t=190.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=10.1/16.0GB (63%) swap=1.6/2.9GB (55%) cpu=75% browser_rss=0.50GB
|
|
[16:44] [capture-loop] iter=1600 t=196.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.9/16.0GB (56%) swap=1.6/2.9GB (55%) cpu=59% browser_rss=0.50GB
|
|
[16:48] Frame 5 saved (frame_004.jpg, t=199.6s)
|
|
[16:48] [capture-periodic] freeze=5ms shot=150ms unfreeze=4ms saved=True
|
|
[16:50] [capture-loop] iter=1650 t=202.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.7/16.0GB (54%) swap=1.4/2.9GB (48%) cpu=73% browser_rss=0.50GB
|
|
[16:56] [capture-loop] iter=1700 t=208.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.8/16.0GB (55%) swap=1.4/2.9GB (48%) cpu=27% browser_rss=0.49GB
|
|
[17:02] [capture-loop] iter=1750 t=213.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.8/16.0GB (55%) swap=1.4/2.9GB (48%) cpu=25% browser_rss=0.48GB
|
|
[17:07] [capture-loop] iter=1800 t=219.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.9/16.0GB (56%) swap=1.4/2.9GB (48%) cpu=28% browser_rss=0.48GB
|
|
[17:10] Node executed (1 total), capturing...
|
|
[17:11] Frame 6 saved (frame_005.jpg, t=222.7s)
|
|
[17:11] [capture-node] freeze=7ms shot=158ms unfreeze=0ms saved=True
|
|
[17:11] Execution complete (t=222.7s)
|
|
[17:11] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[17:11] [3d-wait] Phase 1 done in 0.1s
|
|
[17:12] [3d-wait] Phase 2: iframes=1
|
|
[17:12] [3d-wait] iframe viewer_ready=True (matched 1 console logs)
|
|
[17:12] [3d-wait] Unfrozen in 0.006s, rendering for 5s...
|
|
[17:31] [3d-wait] JS halted via CDP after 18.5s
|
|
[18:26] [3d-wait] Re-frozen in 73.7s
|
|
[18:26] [3d-wait] Total 3D wait: 75.2s
|
|
[18:26] Captured 6 unique frames over 298.08s
|
|
[18:26] [debug] iframes: 1
|
|
[18:26] [debug] iframe[0]: src=http://127.0.0.1:41889/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=3040x2022, rafFrozen=True
|
|
[18:26] [timing] trigger_3d_previews: 0.0s
|
|
[18:28] Saved high-quality screenshot: sharp_exif_executed.png
|
|
[18:28] [timing] final_screenshot: 0.3s
|
|
[18:30] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1943\dev\windows-portable-cpu\results.json
|
|
[18:30] Model report: 12 files, 2.6 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1943\dev\windows-portable-cpu\models.json
|
|
[18:30] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1943\dev\windows-portable-cpu\index.html
|
|
[18:30] [EXECUTION] PASSED
|
|
[18:30]
|
|
windows_portable: PASSED
|
|
[18:30] Stopping ComfyUI server...
|