333 lines
32 KiB
Plaintext
333 lines
32 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1125\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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[00:03] Downloaded: 10%
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[00:04] Downloaded: 20%
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[00:06] Downloaded: 30%
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[00:07] Downloaded: 40%
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[00:08] Downloaded: 50%
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[00:10] Downloaded: 60%
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[00:11] Downloaded: 70%
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[00:13] Downloaded: 80%
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[00:14] Downloaded: 90%
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[00:15] Downloaded: 100%
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[00:15] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:15] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:15] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:15] Using 7z: 7z
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[02:40] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:40] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui
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[04:54] Installing uv into embedded Python...
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[04:54] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[04:58] Installing ComfyUI requirements...
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[04:58] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\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-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[04:58]
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Installing custom node...
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[04:58] Copying ComfyUI-Sharp to custom_nodes/...
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[04:58] Installing node requirements...
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[04:58] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\requirements.txt
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[05:02]
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Running install.py...
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[05:02] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\install.py
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[05:03]
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[05:03] Installing 1 node dependencies...
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[05:03] Cloning ComfyUI-GeometryPack...
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[05:05] Installing requirements for ComfyUI-GeometryPack...
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[05:07] Running install.py for ComfyUI-GeometryPack...
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[05:09] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[05:09] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[05:09] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[05:09] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[05:09] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[05:09] [comfy-env] Found 2 node config(s):
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[05:09] - geometrypack-nodes <- custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml (python=host)
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[05:09] - sharp-nodes <- custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml (python=host)
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[05:09] [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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[05:11] [comfy-env] GPU: No GPU detected
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[05:11] [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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[05:11] [comfy-env] cuda-wheels: 1 package(s) need a matched (cuda, torch, python) combo: ['cumesh']
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[05:11] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[05:11] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[05:11] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[05:11] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[05:11] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[05:11] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[05:11] [comfy-env] geometrypack-nodes: cuda-wheels deferred for post-pixi install (cumesh)
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[05:11] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[05:11] [comfy-env] Installing 2 environment(s):
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[05:11] - geometrypack-nodes (python=host, 14 pypi deps, 1 cuda wheels)
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[05:11] - sharp-nodes (python=host, 10 pypi deps)
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[05:11] [comfy-env] Running `pixi install -e geometrypack-nodes -e sharp-nodes`...
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[07:58] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[07:58] - Scripts/.librsvg-pre-unlink.bat
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[07:58] To enable them, run:
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[07:58] pixi config set --local run-post-link-scripts insecure
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[07:58] More info:
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[07:58] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[08:17] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[08:17] - Scripts/.librsvg-pre-unlink.bat
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[08:17] To enable them, run:
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[08:17] pixi config set --local run-post-link-scripts insecure
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[08:17] More info:
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[08:17] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[09:40] The following environments have been installed: geometrypack-nodes, sharp-nodes.
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[09:40] [comfy-env] geometrypack-nodes: installing cuda-wheels with --no-deps (cumesh)
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[09:40] Using Python 3.13.13 environment at: .pixi\envs\geometrypack-nodes
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[09:41] Resolved 1 package in 690ms
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[09:41] Downloading cumesh (3.8MiB)
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[09:41] Downloaded cumesh
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[09:41] Prepared 1 package in 153ms
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[09:41] Installed 1 package in 17ms
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[09:41] + 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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[09:41] [comfy-env] Recorded install hash 289ba018900b -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[09:41] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[09:41]
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[09:41] Installation complete!
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[09:42]
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[09:42] [requirements] Re-installing main package requirements...
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[09:42] Installing requirements for ComfyUI-Sharp...
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[09:42] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[09:42] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[09:42] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[09:42] [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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[09:42]
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[09:42] Installation complete!
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[09:42] Installing 1 node dependency(ies)...
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[09:42] ComfyUI-GeometryPack from PozzettiAndrea/ComfyUI-GeometryPack
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[09:42] ComfyUI-GeometryPack already exists, skipping...
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[09:42] Installing validation endpoint...
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[09:42] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[09:42] 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-1125\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[09:43] [INSTALL] PASSED
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[09:43]
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[09:43] [3/5] REGISTRATION
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[09:43] ----------------------------------------
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[09:43]
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[DEBUG] server=None, api=None
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[09:43]
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Starting ComfyUI server...
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[09:43] Starting ComfyUI server on port 41888...
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[09:43] Starting ComfyUI server on port 41888...
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[09:43] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-1125\server.log
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[09:43] Waiting for server to be ready (timeout: 600s)...
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[09:43] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[09:43] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[10:21] Server responding, waiting for nodes to load...
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[10:41] Server is ready!
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[10:41] Checking for import errors in server logs...
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[10:41] No import errors detected
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[10:41] Found 848 registered nodes
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[10:41] [REGISTRATION] PASSED
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[10:41]
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[10:41] [4/5] INSTANTIATION
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[10:41] ----------------------------------------
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[10:41]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000202CEEF4410>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000202CEF2DAC0>
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[10:41] Testing node constructors...
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[10:44] All 8 node(s) instantiated successfully!
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[10:44] [INSTANTIATION] PASSED
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[10:44]
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[10:44] [5/5] EXECUTION
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[10:44] ----------------------------------------
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[10:44]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x00000202CEEF4410>, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x00000202CEF2DAC0>
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[10:44] CPU runner - will execute 2 workflow(s)
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[10:44] Running 3 workflow(s) (all with videos)...
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[10:44] Installing screenshot dependencies (playwright, pillow)...
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[10:47] Packages installed, downloading chromium browser...
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[11:03] Screenshot dependencies installed successfully
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[11:04] Starting headless browser...
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[11:04] Downloading Mesa llvmpipe for Windows...
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[11:08] Copied opengl32.dll to Chromium dir
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[11:08] Copied libgallium_wgl.dll to Chromium dir
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[11:08] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[11:09] [1/3] SKIPPED (not in cpu list) pano.json
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[11:09] Capturing execution frames: sharp_basic.json
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[11:19] Frame 1 saved (frame_000.jpg, t=0.0s)
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[11:19] Validating workflow...
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[11:19] Queuing workflow for execution...
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[11:21] Frame 2 saved (frame_001.jpg, t=2.3s)
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[11:21] [capture-periodic] freeze=5ms shot=163ms unfreeze=5ms saved=True
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[11:23] Frame 3 saved (frame_002.jpg, t=4.6s)
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[11:23] [capture-periodic] freeze=13ms shot=143ms unfreeze=14ms saved=True
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[11:25] [capture-loop] iter=50 t=6.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=5.9/16.0GB (37%) swap=0.4/2.9GB (14%) cpu=66% browser_rss=0.71GB
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[11:28] Frame 4 saved (frame_003.jpg, t=9.2s)
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[11:28] [capture-periodic] freeze=31ms shot=301ms unfreeze=81ms saved=True
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[11:31] Frame 5 saved (frame_004.jpg, t=11.8s)
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[11:31] [capture-periodic] freeze=54ms shot=237ms unfreeze=6ms saved=True
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[11:33] Frame 6 saved (frame_005.jpg, t=14.3s)
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[11:33] [capture-periodic] freeze=32ms shot=347ms unfreeze=132ms saved=True
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[11:35] [capture-loop] iter=100 t=16.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=50 ram=6.9/16.0GB (43%) swap=0.4/2.9GB (14%) cpu=99% browser_rss=0.71GB
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[11:36] Frame 7 saved (frame_006.jpg, t=16.9s)
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[11:36] [capture-periodic] freeze=122ms shot=352ms unfreeze=7ms saved=True
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[11:38] Frame 8 saved (frame_007.jpg, t=19.5s)
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[11:38] [capture-periodic] freeze=4ms shot=137ms unfreeze=4ms saved=True
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[11:40] Frame 9 saved (frame_008.jpg, t=21.7s)
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[11:40] [capture-periodic] freeze=5ms shot=127ms unfreeze=7ms saved=True
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[11:42] [capture-loop] iter=150 t=23.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.8/16.0GB (36%) swap=0.4/2.9GB (14%) cpu=78% browser_rss=0.65GB
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[11:48] [capture-loop] iter=200 t=29.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.8/16.0GB (36%) swap=0.4/2.9GB (14%) cpu=51% browser_rss=0.65GB
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[11:54] [capture-loop] iter=250 t=35.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.4/16.0GB (46%) swap=0.4/2.9GB (14%) cpu=45% browser_rss=0.65GB
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[12:00] [capture-loop] iter=300 t=41.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=58% browser_rss=0.65GB
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[12:06] [capture-loop] iter=350 t=47.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=77% browser_rss=0.65GB
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[12:11] [capture-loop] iter=400 t=52.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=76% browser_rss=0.62GB
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[12:17] [capture-loop] iter=450 t=58.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=21 ram=8.3/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=78% browser_rss=0.62GB
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[12:24] [capture-loop] iter=500 t=65.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=86% browser_rss=0.61GB
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[12:30] [capture-loop] iter=550 t=71.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=11 ram=8.3/16.0GB (52%) swap=0.4/2.9GB (14%) cpu=95% browser_rss=0.61GB
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[12:36] [capture-loop] iter=600 t=77.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (14%) cpu=96% browser_rss=0.61GB
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[12:42] [capture-loop] iter=650 t=83.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (14%) cpu=95% browser_rss=0.60GB
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[12:49] [capture-loop] iter=700 t=90.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=14 ram=8.6/16.0GB (54%) swap=0.4/2.9GB (14%) cpu=94% browser_rss=0.60GB
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[12:55] [capture-loop] iter=750 t=96.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.5/16.0GB (53%) swap=0.5/2.9GB (18%) cpu=95% browser_rss=0.60GB
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[13:01] [capture-loop] iter=800 t=102.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=8.6/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=95% browser_rss=0.59GB
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[13:08] [capture-loop] iter=850 t=109.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=8.6/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=96% browser_rss=0.59GB
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[13:14] [capture-loop] iter=900 t=115.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=20 ram=8.7/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=95% browser_rss=0.59GB
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[13:20] [capture-loop] iter=950 t=121.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=95% browser_rss=0.59GB
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[13:27] [capture-loop] iter=1000 t=128.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.7/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=94% browser_rss=0.59GB
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[13:33] [capture-loop] iter=1050 t=134.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=8.8/16.0GB (55%) swap=0.5/2.9GB (18%) cpu=96% browser_rss=0.59GB
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[13:39] [capture-loop] iter=1100 t=140.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=14 ram=8.7/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=94% browser_rss=0.58GB
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[13:45] [capture-loop] iter=1150 t=146.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.5/2.9GB (18%) cpu=95% browser_rss=0.58GB
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[13:51] [capture-loop] iter=1200 t=152.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=8.5/16.0GB (53%) swap=0.6/2.9GB (22%) cpu=94% browser_rss=0.58GB
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[13:58] [capture-loop] iter=1250 t=159.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=25 ram=8.5/16.0GB (53%) swap=0.6/2.9GB (22%) cpu=94% browser_rss=0.57GB
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[14:04] [capture-loop] iter=1300 t=165.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.5/16.0GB (53%) swap=0.6/2.9GB (22%) cpu=95% browser_rss=0.56GB
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[14:10] [capture-loop] iter=1350 t=171.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=0.6/2.9GB (22%) cpu=80% browser_rss=0.55GB
|
|
[14:16] [capture-loop] iter=1400 t=177.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.5/16.0GB (53%) swap=0.6/2.9GB (22%) cpu=77% browser_rss=0.55GB
|
|
[14:22] [capture-loop] iter=1450 t=183.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=0.7/2.9GB (26%) cpu=75% browser_rss=0.55GB
|
|
[14:28] [capture-loop] iter=1500 t=189.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (53%) swap=0.7/2.9GB (26%) cpu=71% browser_rss=0.55GB
|
|
[14:34] [capture-loop] iter=1550 t=195.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.0/16.0GB (50%) swap=0.7/2.9GB (26%) cpu=72% browser_rss=0.54GB
|
|
[14:40] [capture-loop] iter=1600 t=201.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.1/16.0GB (57%) swap=0.9/2.9GB (30%) cpu=77% browser_rss=0.53GB
|
|
[14:46] [capture-loop] iter=1650 t=207.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=9.3/16.0GB (58%) swap=0.9/2.9GB (30%) cpu=76% browser_rss=0.51GB
|
|
[14:52] [capture-loop] iter=1700 t=213.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.7/16.0GB (60%) swap=1.0/2.9GB (33%) cpu=84% browser_rss=0.50GB
|
|
[14:58] [capture-loop] iter=1750 t=219.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=9.7/16.0GB (60%) swap=1.0/2.9GB (33%) cpu=94% browser_rss=0.49GB
|
|
[15:05] [capture-loop] iter=1800 t=226.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=14 ram=11.4/16.0GB (71%) swap=1.0/2.9GB (33%) cpu=95% browser_rss=0.49GB
|
|
[15:11] [capture-loop] iter=1850 t=232.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=17 ram=11.2/16.0GB (70%) swap=1.1/2.9GB (37%) cpu=96% browser_rss=0.48GB
|
|
[15:17] [capture-loop] iter=1900 t=238.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.6/16.0GB (66%) swap=1.1/2.9GB (40%) cpu=95% browser_rss=0.48GB
|
|
[15:24] [capture-loop] iter=1950 t=245.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=11.6/16.0GB (73%) swap=1.3/2.9GB (44%) cpu=94% browser_rss=0.47GB
|
|
[15:30] [capture-loop] iter=2000 t=251.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.8/16.0GB (55%) swap=1.3/2.9GB (47%) cpu=91% browser_rss=0.46GB
|
|
[15:36] [capture-loop] iter=2050 t=257.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=9.6/16.0GB (60%) swap=1.5/2.9GB (53%) cpu=93% browser_rss=0.45GB
|
|
[15:42] [capture-loop] iter=2100 t=263.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=9.6/16.0GB (60%) swap=1.5/2.9GB (53%) cpu=94% browser_rss=0.44GB
|
|
[15:48] [capture-loop] iter=2150 t=269.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=9.3/16.0GB (58%) swap=1.5/2.9GB (53%) cpu=94% browser_rss=0.43GB
|
|
[15:54] [capture-loop] iter=2200 t=275.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.5/16.0GB (59%) swap=1.5/2.9GB (53%) cpu=93% browser_rss=0.42GB
|
|
[16:00] [capture-loop] iter=2250 t=281.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.5/16.0GB (53%) swap=1.5/2.9GB (53%) cpu=79% browser_rss=0.42GB
|
|
[16:03] Frame 10 saved (frame_009.jpg, t=284.7s)
|
|
[16:03] [capture-periodic] freeze=3ms shot=135ms unfreeze=4ms saved=True
|
|
[16:06] [capture-loop] iter=2300 t=287.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.5/2.9GB (52%) cpu=65% browser_rss=0.42GB
|
|
[16:12] [capture-loop] iter=2350 t=293.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.9/16.0GB (55%) swap=1.5/2.9GB (52%) cpu=58% browser_rss=0.41GB
|
|
[16:13] Node executed (1 total), capturing...
|
|
[16:14] Frame 11 saved (frame_010.jpg, t=295.1s)
|
|
[16:14] [capture-node] freeze=5ms shot=178ms unfreeze=0ms saved=True
|
|
[16:14] Execution complete (t=295.1s)
|
|
[16:14] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[16:14] [3d-wait] Phase 1 done in 0.0s
|
|
[16:14] [3d-wait] Phase 2: iframes=1
|
|
[16:14] [3d-wait] iframe viewer_ready=False (matched 0 console logs)
|
|
[16:14] [3d-wait] Waiting for 'Loaded successfully' console message (timeout=60s)...
|
|
[16:15] [3d-wait] Got 'Loaded successfully' after 1.5s
|
|
[16:16] [3d-wait] Unfrozen in 0.185s, rendering for 5s...
|
|
[16:27] [3d-wait] JS halted via CDP after 11.8s
|
|
[17:01] [3d-wait] Re-frozen in 45.4s
|
|
[17:01] [3d-wait] Total 3D wait: 46.9s
|
|
[17:01] Captured 11 unique frames over 342.21s
|
|
[17:01] [debug] iframes: 1
|
|
[17:01] [debug] iframe[0]: src=http://127.0.0.1:41888/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=1536x1024, rafFrozen=True
|
|
[17:01] [timing] trigger_3d_previews: 0.0s
|
|
[17:03] Saved high-quality screenshot: sharp_basic_executed.png
|
|
[17:03] [timing] final_screenshot: 0.3s
|
|
[17:03] Capturing execution frames: sharp_exif.json
|
|
[17:11] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[17:11] Validating workflow...
|
|
[17:11] Queuing workflow for execution...
|
|
[17:13] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[17:13] [capture-periodic] freeze=5ms shot=141ms unfreeze=5ms saved=True
|
|
[17:15] Frame 3 saved (frame_002.jpg, t=4.6s)
|
|
[17:15] [capture-periodic] freeze=4ms shot=147ms unfreeze=5ms saved=True
|
|
[17:16] [capture-loop] iter=50 t=6.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.3/16.0GB (33%) swap=1.1/2.9GB (37%) cpu=88% browser_rss=0.67GB
|
|
[17:17] Frame 4 saved (frame_003.jpg, t=6.8s)
|
|
[17:17] [capture-periodic] freeze=4ms shot=136ms unfreeze=4ms saved=True
|
|
[17:22] [capture-loop] iter=100 t=12.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=5.3/16.0GB (33%) swap=1.1/2.9GB (36%) cpu=49% browser_rss=0.60GB
|
|
[17:28] [capture-loop] iter=150 t=17.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=7.5/16.0GB (47%) swap=1.1/2.9GB (36%) cpu=32% browser_rss=0.60GB
|
|
[17:34] [capture-loop] iter=200 t=23.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=1.1/2.9GB (36%) cpu=61% browser_rss=0.60GB
|
|
[17:40] [capture-loop] iter=250 t=29.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=1.1/2.9GB (36%) cpu=70% browser_rss=0.59GB
|
|
[17:46] [capture-loop] iter=300 t=36.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=91% browser_rss=0.59GB
|
|
[17:52] [capture-loop] iter=350 t=42.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.60GB
|
|
[17:59] [capture-loop] iter=400 t=48.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=94% browser_rss=0.59GB
|
|
[18:05] [capture-loop] iter=450 t=54.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=91% browser_rss=0.60GB
|
|
[18:11] [capture-loop] iter=500 t=60.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=92% browser_rss=0.60GB
|
|
[18:17] [capture-loop] iter=550 t=66.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.59GB
|
|
[18:23] [capture-loop] iter=600 t=72.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.59GB
|
|
[18:29] [capture-loop] iter=650 t=79.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.58GB
|
|
[18:36] [capture-loop] iter=700 t=85.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=14 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.58GB
|
|
[18:42] [capture-loop] iter=750 t=91.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=7 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.58GB
|
|
[18:48] [capture-loop] iter=800 t=97.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=18 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=92% browser_rss=0.58GB
|
|
[18:54] [capture-loop] iter=850 t=103.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.59GB
|
|
[19:00] [capture-loop] iter=900 t=109.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=1.0/2.9GB (36%) cpu=93% browser_rss=0.59GB
|
|
[19:06] [capture-loop] iter=950 t=115.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.5/16.0GB (53%) swap=1.1/2.9GB (39%) cpu=93% browser_rss=0.59GB
|
|
[19:12] [capture-loop] iter=1000 t=122.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=11 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=93% browser_rss=0.59GB
|
|
[19:19] [capture-loop] iter=1050 t=128.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=94% browser_rss=0.59GB
|
|
[19:25] [capture-loop] iter=1100 t=134.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=93% browser_rss=0.59GB
|
|
[19:31] [capture-loop] iter=1150 t=140.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=14 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=94% browser_rss=0.59GB
|
|
[19:37] [capture-loop] iter=1200 t=147.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=15 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=94% browser_rss=0.59GB
|
|
[19:43] [capture-loop] iter=1250 t=153.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=10 ram=8.5/16.0GB (53%) swap=1.2/2.9GB (40%) cpu=94% browser_rss=0.59GB
|
|
[19:50] [capture-loop] iter=1300 t=159.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.5/16.0GB (53%) swap=1.1/2.9GB (40%) cpu=86% browser_rss=0.59GB
|
|
[19:56] [capture-loop] iter=1350 t=165.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (52%) swap=1.1/2.9GB (40%) cpu=83% browser_rss=0.59GB
|
|
[20:02] [capture-loop] iter=1400 t=171.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=17 ram=8.8/16.0GB (55%) swap=1.3/2.9GB (44%) cpu=84% browser_rss=0.58GB
|
|
[20:08] [capture-loop] iter=1450 t=177.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.0/16.0GB (56%) swap=1.4/2.9GB (49%) cpu=78% browser_rss=0.56GB
|
|
[20:14] [capture-loop] iter=1500 t=183.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=10.0/16.0GB (63%) swap=1.5/2.9GB (53%) cpu=78% browser_rss=0.54GB
|
|
[20:20] [capture-loop] iter=1550 t=189.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.8/16.0GB (62%) swap=1.6/2.9GB (57%) cpu=80% browser_rss=0.53GB
|
|
[20:26] [capture-loop] iter=1600 t=195.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=10.0/16.0GB (62%) swap=1.6/2.9GB (57%) cpu=70% browser_rss=0.51GB
|
|
[20:32] [capture-loop] iter=1650 t=201.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=11.6/16.0GB (72%) swap=1.7/2.9GB (61%) cpu=75% browser_rss=0.50GB
|
|
[20:38] [capture-loop] iter=1700 t=207.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=11.4/16.0GB (71%) swap=1.7/2.9GB (61%) cpu=76% browser_rss=0.50GB
|
|
[20:44] [capture-loop] iter=1750 t=213.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=40 ram=11.3/16.0GB (71%) swap=1.7/2.9GB (61%) cpu=84% browser_rss=0.49GB
|
|
[20:50] [capture-loop] iter=1800 t=219.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.9/16.0GB (56%) swap=1.8/2.9GB (64%) cpu=95% browser_rss=0.48GB
|
|
[20:56] [capture-loop] iter=1850 t=226.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=12 ram=9.8/16.0GB (62%) swap=1.8/2.9GB (64%) cpu=95% browser_rss=0.47GB
|
|
[21:03] [capture-loop] iter=1900 t=232.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=10.0/16.0GB (62%) swap=1.8/2.9GB (64%) cpu=93% browser_rss=0.45GB
|
|
[21:09] [capture-loop] iter=1950 t=238.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.0/16.0GB (63%) swap=1.8/2.9GB (64%) cpu=94% browser_rss=0.45GB
|
|
[21:15] [capture-loop] iter=2000 t=244.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=10.3/16.0GB (64%) swap=1.8/2.9GB (64%) cpu=95% browser_rss=0.44GB
|
|
[21:21] [capture-loop] iter=2050 t=250.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.9/16.0GB (55%) swap=1.8/2.9GB (64%) cpu=83% browser_rss=0.43GB
|
|
[21:24] Frame 5 saved (frame_004.jpg, t=253.6s)
|
|
[21:24] [capture-periodic] freeze=24ms shot=160ms unfreeze=6ms saved=True
|
|
[21:27] [capture-loop] iter=2100 t=256.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.7/16.0GB (55%) swap=1.5/2.9GB (52%) cpu=73% browser_rss=0.45GB
|
|
[21:32] Node executed (1 total), capturing...
|
|
[21:32] Frame 6 saved (frame_005.jpg, t=261.5s)
|
|
[21:32] [capture-node] freeze=5ms shot=165ms unfreeze=5ms saved=True
|
|
[21:33] Execution complete (t=262.2s)
|
|
[21:33] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[21:33] [3d-wait] Phase 1 done in 0.0s
|
|
[21:33] [3d-wait] Phase 2: iframes=1
|
|
[21:33] [3d-wait] iframe viewer_ready=False (matched 0 console logs)
|
|
[21:33] [3d-wait] Waiting for 'Loaded successfully' console message (timeout=60s)...
|
|
[21:34] [3d-wait] Got 'Loaded successfully' after 1.3s
|
|
[21:34] [3d-wait] Unfrozen in 0.300s, rendering for 5s...
|
|
[21:50] [3d-wait] JS halted via CDP after 16.1s
|
|
[22:37] [3d-wait] Re-frozen in 63.1s
|
|
[22:37] [3d-wait] Total 3D wait: 64.5s
|
|
[22:37] Captured 6 unique frames over 326.72s
|
|
[22:37] [debug] iframes: 1
|
|
[22:37] [debug] iframe[0]: src=http://127.0.0.1:41888/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=3040x2022, rafFrozen=True
|
|
[22:37] [timing] trigger_3d_previews: 0.0s
|
|
[22:39] Saved high-quality screenshot: sharp_exif_executed.png
|
|
[22:39] [timing] final_screenshot: 0.3s
|
|
[22:40] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1125\dev\windows-portable-cpu\results.json
|
|
[22:40] Model report: 12 files, 2.6 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1125\dev\windows-portable-cpu\models.json
|
|
[22:40] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-1125\dev\windows-portable-cpu\index.html
|
|
[22:40] [EXECUTION] PASSED
|
|
[22:40]
|
|
windows_portable: PASSED
|
|
[22:40] Stopping ComfyUI server...
|