319 lines
30 KiB
Plaintext
319 lines
30 KiB
Plaintext
[00:00] Crash dump logging enabled: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-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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[00:00] 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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[00:06] Downloaded: 40%
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[00:07] Downloaded: 50%
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[00:08] Downloaded: 60%
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[00:09] Downloaded: 70%
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[00:10] Downloaded: 80%
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[00:12] Downloaded: 90%
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[00:13] Downloaded: 100%
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[00:13] Downloaded to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1.7z
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[00:13] Extracting to cache: C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[00:13] Extracting ComfyUI_portable_v0.21.1.7z...
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[00:13] Using 7z: 7z
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[02:54] Extracted to C:\Users\stduser\.comfy-test\cache\portable\ComfyUI_portable_v0.21.1
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[02:54] Copying from cache to: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui
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[05:16] Installing uv into embedded Python...
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[05:16] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install uv
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[05:20] Installing ComfyUI requirements...
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[05:20] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-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\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\requirements.txt
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[05:20]
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Installing custom node...
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[05:20] Copying ComfyUI-Sharp to custom_nodes/...
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[05:20] Installing node requirements...
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[05:20] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe -m pip install -r D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\requirements.txt
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[05:24]
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Running install.py...
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[05:24] Running: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\python_embeded\python.exe D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Sharp\install.py
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[05:24]
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[05:24] Installing 1 node dependencies...
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[05:24] Cloning ComfyUI-GeometryPack...
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[05:27] Installing requirements for ComfyUI-GeometryPack...
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[05:28] Running install.py for ComfyUI-GeometryPack...
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[05:30] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[05:30] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[05:30] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[05:30] [comfy-env] Workspace: C:\Users\stduser\AppData\Local\Programs\comfy-env
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[05:30] [comfy-env] ComfyUI: D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI
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[05:30] [comfy-env] Found 2 node config(s):
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[05:30] - geometrypack-nodes <- custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml (python=host)
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[05:30] - sharp-nodes <- custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml (python=host)
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[05:30] [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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[05:32] [comfy-env] GPU: No GPU detected
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[05:32] [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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[05:32] [comfy-env] cuda-wheels: 1 package(s) need a matched (cuda, torch, python) combo: ['cumesh']
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[05:32] [comfy-env] cuda-wheels tier 1 (bootstrap): probing cu13.0/torch2.11/cp313
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[05:32] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[05:32] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[05:32] [comfy-env] cuda-wheels combo: cu13.0/torch2.11 (bootstrap matches; per-node envs will pin to this)
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[05:32] [cuda-wheels] Looking up cumesh: cu130 torch2.11 cp313 win_amd64
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[05:32] [cuda-wheels] Found: cumesh-0.0.1+cu130torch2.11-cp313-cp313-win_amd64.whl
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[05:32] [comfy-env] geometrypack-nodes: cuda-wheels deferred for post-pixi install (cumesh)
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[05:32] Generated C:\Users\stduser\AppData\Local\Programs\comfy-env\pixi.toml
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[05:32] [comfy-env] Installing 2 environment(s):
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[05:32] - geometrypack-nodes (python=host, 14 pypi deps, 1 cuda wheels)
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[05:32] - sharp-nodes (python=host, 10 pypi deps)
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[05:32] [comfy-env] Running `pixi install -e geometrypack-nodes -e sharp-nodes`...
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[09:11] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[09:11] - Scripts/.librsvg-pre-unlink.bat
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[09:11] To enable them, run:
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[09:11] pixi config set --local run-post-link-scripts insecure
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[09:11] More info:
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[09:11] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[09:37] WARN Skipped running the post-link scripts because `run-post-link-scripts` = `false`
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[09:37] - Scripts/.librsvg-pre-unlink.bat
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[09:37] To enable them, run:
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[09:37] pixi config set --local run-post-link-scripts insecure
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[09:37] More info:
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[09:37] https://pixi.sh/latest/reference/pixi_configuration/#run-post-link-scripts
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[10:40] The following environments have been installed: geometrypack-nodes, sharp-nodes.
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[10:40] [comfy-env] geometrypack-nodes: installing cuda-wheels with --no-deps (cumesh)
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[10:40] Using Python 3.13.13 environment at: .pixi\envs\geometrypack-nodes
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[10:41] Resolved 1 package in 620ms
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[10:41] Downloading cumesh (3.8MiB)
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[10:41] Downloaded cumesh
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[10:41] Prepared 1 package in 142ms
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[10:41] Installed 1 package in 13ms
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[10:41] + 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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[10:41] [comfy-env] Recorded install hash d2c5021d3600 -> C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash
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[10:41] [comfy-env] Install log: C:\Users\stduser\AppData\Local\Programs\comfy-env\install.log
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[10:41]
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[10:41] Installation complete!
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[10:43]
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[10:43] [requirements] Re-installing main package requirements...
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[10:43] Installing requirements for ComfyUI-Sharp...
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[10:43] [comfy-env] _discover: scanning D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes
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[10:43] [comfy-env] _discover: ComfyUI-GeometryPack -> geometrypack-nodes (custom_nodes\ComfyUI-GeometryPack\nodes\comfy-env.toml)
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[10:43] [comfy-env] _discover: ComfyUI-Sharp -> sharp-nodes (custom_nodes\ComfyUI-Sharp\nodes\comfy-env.toml)
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[10:43] [comfy-env] Workspace inputs unchanged (hash d2c5021d3600) -- skipping install. Delete C:\Users\stduser\AppData\Local\Programs\comfy-env\install.hash to force.
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[10:43]
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[10:43] Installation complete!
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[10:43] Installing 1 node dependency(ies)...
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[10:43] ComfyUI-GeometryPack from PozzettiAndrea/ComfyUI-GeometryPack
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[10:43] ComfyUI-GeometryPack already exists, skipping...
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[10:43] Installing validation endpoint...
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[10:43] Cloning PozzettiAndrea/ComfyUI-validate-endpoint...
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[10:43] Running: git clone --depth 1 https://github.com/PozzettiAndrea/ComfyUI-validate-endpoint.git D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\portable-comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-validate-endpoint
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[10:44] [INSTALL] PASSED
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[10:44]
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[10:44] [3/5] REGISTRATION
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[10:44] ----------------------------------------
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[10:44]
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[DEBUG] server=None, server_url=None, api=None
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[10:44]
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Starting ComfyUI server...
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[10:44] Starting ComfyUI server on port 41890...
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[10:44] Starting ComfyUI server on port 41890...
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[10:44] Server stdout/stderr -> D:\a\comfy-gpu-ci\comfy-gpu-ci\test_workspaces\Sharp-0524\server.log
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[10:44] Waiting for server to be ready (timeout: 600s)...
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[10:44] [ComfyUI:stdout] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[10:44] [ComfyUI:stderr] reader thread died: AttributeError("'NoneType' object has no attribute 'readline'")
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[11:19] Server responding, waiting for nodes to load...
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[11:39] Server is ready!
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[11:39] Checking for import errors in server logs...
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[11:39] No import errors detected
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[11:39] Found 848 registered nodes
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[11:39] [REGISTRATION] PASSED
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[11:39]
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[11:39] [4/5] INSTANTIATION
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[11:39] ----------------------------------------
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[11:39]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000002665A6CD940>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000002665A6CE900>
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[11:39] Testing node constructors...
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[11:41] All 8 node(s) instantiated successfully!
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[11:41] [INSTANTIATION] PASSED
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[11:41]
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[11:41] [5/5] EXECUTION
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[11:41] ----------------------------------------
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[11:41]
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[DEBUG] server=<comfy_test.comfyui.server.ComfyUIServer object at 0x000002665A6CD940>, server_url=None, api=<comfy_test.comfyui.api.ComfyUIAPI object at 0x000002665A6CE900>
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[11:41] CPU runner - will execute 2 workflow(s)
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[11:41] Running 3 workflow(s) (all with videos)...
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[11:41] Installing screenshot dependencies (playwright, pillow)...
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[11:56] Packages installed, downloading chromium browser...
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[12:12] Screenshot dependencies installed successfully
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[12:20] Starting headless browser...
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[12:22] Downloading Mesa llvmpipe for Windows...
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[12:26] Copied opengl32.dll to Chromium dir
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[12:26] Copied libgallium_wgl.dll to Chromium dir
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[12:26] Using Mesa llvmpipe (desktop GL) -- multithreaded CPU rendering
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[12:27] [1/3] SKIPPED (not in cpu list) pano.json
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[12:27] Capturing execution frames: sharp_basic.json
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[12:35] Frame 1 saved (frame_000.jpg, t=0.0s)
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[12:35] Validating workflow...
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[12:35] Queuing workflow for execution...
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[12:38] Frame 2 saved (frame_001.jpg, t=2.3s)
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[12:38] [capture-periodic] freeze=4ms shot=100ms unfreeze=3ms saved=True
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[12:40] Frame 3 saved (frame_002.jpg, t=4.4s)
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[12:40] [capture-periodic] freeze=3ms shot=83ms unfreeze=3ms saved=True
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[12:41] [capture-loop] iter=50 t=5.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=5.6/16.0GB (35%) swap=0.4/2.9GB (13%) cpu=18% browser_rss=0.67GB
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[12:42] Frame 4 saved (frame_003.jpg, t=6.6s)
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[12:42] [capture-periodic] freeze=24ms shot=178ms unfreeze=6ms saved=True
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[12:44] Frame 5 saved (frame_004.jpg, t=8.9s)
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[12:44] [capture-periodic] freeze=21ms shot=205ms unfreeze=13ms saved=True
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[12:47] Frame 6 saved (frame_005.jpg, t=11.3s)
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[12:47] [capture-periodic] freeze=17ms shot=185ms unfreeze=4ms saved=True
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[12:48] [capture-loop] iter=100 t=13.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=7.0/16.0GB (44%) swap=0.4/2.9GB (13%) cpu=83% browser_rss=0.72GB
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[12:49] Frame 7 saved (frame_006.jpg, t=13.6s)
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[12:49] [capture-periodic] freeze=2ms shot=92ms unfreeze=3ms saved=True
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[12:51] Frame 8 saved (frame_007.jpg, t=15.8s)
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[12:51] [capture-periodic] freeze=3ms shot=88ms unfreeze=3ms saved=True
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[12:53] Frame 9 saved (frame_008.jpg, t=17.9s)
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[12:53] [capture-periodic] freeze=5ms shot=109ms unfreeze=4ms saved=True
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[12:54] [capture-loop] iter=150 t=18.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=6.1/16.0GB (38%) swap=0.4/2.9GB (13%) cpu=26% browser_rss=0.74GB
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[12:55] Frame 10 saved (frame_009.jpg, t=20.1s)
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[12:55] [capture-periodic] freeze=2ms shot=87ms unfreeze=4ms saved=True
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[13:00] [capture-loop] iter=200 t=25.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.8/16.0GB (36%) swap=0.4/2.9GB (13%) cpu=34% browser_rss=0.73GB
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[13:07] [capture-loop] iter=250 t=31.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=6.4/16.0GB (40%) swap=0.4/2.9GB (13%) cpu=32% browser_rss=0.65GB
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[13:12] [capture-loop] iter=300 t=37.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.1/16.0GB (51%) swap=0.4/2.9GB (13%) cpu=23% browser_rss=0.65GB
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[13:18] [capture-loop] iter=350 t=42.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=6 ram=8.4/16.0GB (52%) swap=0.4/2.9GB (13%) cpu=68% browser_rss=0.65GB
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[13:24] [capture-loop] iter=400 t=48.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=0.4/2.9GB (13%) cpu=74% browser_rss=0.64GB
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[13:29] [capture-loop] iter=450 t=54.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.4/16.0GB (52%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.62GB
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[13:35] [capture-loop] iter=500 t=60.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=0.4/2.9GB (13%) cpu=75% browser_rss=0.61GB
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[13:41] [capture-loop] iter=550 t=65.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=8 ram=8.4/16.0GB (52%) swap=0.4/2.9GB (13%) cpu=73% browser_rss=0.61GB
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[13:47] [capture-loop] iter=600 t=71.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.4/16.0GB (52%) swap=0.4/2.9GB (13%) cpu=74% browser_rss=0.61GB
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[13:52] [capture-loop] iter=650 t=77.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (51%) swap=0.5/2.9GB (18%) cpu=74% browser_rss=0.60GB
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[13:58] [capture-loop] iter=700 t=82.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=0.5/2.9GB (18%) cpu=72% browser_rss=0.61GB
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[14:04] [capture-loop] iter=750 t=88.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=0.5/2.9GB (18%) cpu=75% browser_rss=0.61GB
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[14:10] [capture-loop] iter=800 t=94.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=75% browser_rss=0.61GB
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[14:15] [capture-loop] iter=850 t=100.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=0.5/2.9GB (18%) cpu=73% browser_rss=0.60GB
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[14:21] [capture-loop] iter=900 t=105.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=72% browser_rss=0.60GB
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[14:27] [capture-loop] iter=950 t=111.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=76% browser_rss=0.60GB
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[14:33] [capture-loop] iter=1000 t=117.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=9 ram=8.4/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=75% browser_rss=0.60GB
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[14:38] [capture-loop] iter=1050 t=123.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.3/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=74% browser_rss=0.60GB
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[14:44] [capture-loop] iter=1100 t=128.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=72% browser_rss=0.59GB
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[14:50] [capture-loop] iter=1150 t=134.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (53%) swap=0.5/2.9GB (18%) cpu=73% browser_rss=0.59GB
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[14:56] [capture-loop] iter=1200 t=140.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=73% browser_rss=0.59GB
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[15:01] [capture-loop] iter=1250 t=146.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (53%) swap=0.5/2.9GB (18%) cpu=75% browser_rss=0.59GB
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[15:07] [capture-loop] iter=1300 t=151.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=0.5/2.9GB (18%) cpu=71% browser_rss=0.59GB
|
|
[15:13] [capture-loop] iter=1350 t=157.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.0/16.0GB (50%) swap=0.6/2.9GB (22%) cpu=68% browser_rss=0.59GB
|
|
[15:18] [capture-loop] iter=1400 t=163.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=0.6/2.9GB (22%) cpu=70% browser_rss=0.57GB
|
|
[15:24] [capture-loop] iter=1450 t=169.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.4/16.0GB (59%) swap=0.6/2.9GB (22%) cpu=75% browser_rss=0.57GB
|
|
[15:30] [capture-loop] iter=1500 t=174.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.7/16.0GB (60%) swap=0.7/2.9GB (26%) cpu=73% browser_rss=0.56GB
|
|
[15:36] [capture-loop] iter=1550 t=180.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=9.9/16.0GB (62%) swap=0.7/2.9GB (26%) cpu=66% browser_rss=0.55GB
|
|
[15:42] [capture-loop] iter=1600 t=186.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=11.6/16.0GB (72%) swap=0.9/2.9GB (30%) cpu=71% browser_rss=0.55GB
|
|
[15:47] [capture-loop] iter=1650 t=192.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.9/16.0GB (68%) swap=0.9/2.9GB (30%) cpu=76% browser_rss=0.54GB
|
|
[15:53] [capture-loop] iter=1700 t=197.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.4/16.0GB (65%) swap=1.0/2.9GB (35%) cpu=69% browser_rss=0.54GB
|
|
[15:59] [capture-loop] iter=1750 t=203.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.6/16.0GB (60%) swap=1.0/2.9GB (34%) cpu=67% browser_rss=0.53GB
|
|
[16:04] [capture-loop] iter=1800 t=209.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.9/16.0GB (62%) swap=1.0/2.9GB (34%) cpu=66% browser_rss=0.53GB
|
|
[16:10] [capture-loop] iter=1850 t=215.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.7/16.0GB (60%) swap=1.0/2.9GB (34%) cpu=66% browser_rss=0.51GB
|
|
[16:16] [capture-loop] iter=1900 t=220.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (34%) cpu=65% browser_rss=0.50GB
|
|
[16:21] [capture-loop] iter=1950 t=226.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.6/16.0GB (54%) swap=1.0/2.9GB (34%) cpu=42% browser_rss=0.50GB
|
|
[16:22] Frame 11 saved (frame_010.jpg, t=226.9s)
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|
[16:22] [capture-periodic] freeze=2ms shot=81ms unfreeze=3ms saved=True
|
|
[16:27] Node executed (1 total), capturing...
|
|
[16:27] Frame 12 saved (frame_011.jpg, t=232.0s)
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|
[16:27] [capture-node] freeze=3ms shot=104ms unfreeze=3ms saved=True
|
|
[16:27] [capture-loop] iter=2000 t=232.2s state={'complete': True, 'error': None, 'executedCount': 1, 'wsState': 1} eval_ms=8 ram=9.2/16.0GB (58%) swap=1.0/2.9GB (34%) cpu=35% browser_rss=0.61GB
|
|
[16:27] Execution complete (t=232.2s)
|
|
[16:27] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[16:28] [3d-wait] Phase 1 done in 0.8s
|
|
[16:28] [3d-wait] Phase 2: iframes=1
|
|
[16:28] [3d-wait] iframe viewer_ready=True (matched 1 console logs)
|
|
[16:28] [3d-wait] Unfrozen in 0.006s, rendering for 5s...
|
|
[16:36] [3d-wait] JS halted via CDP after 7.4s
|
|
[16:58] [3d-wait] Re-frozen in 29.3s
|
|
[16:58] [3d-wait] Total 3D wait: 30.3s
|
|
[16:58] Captured 12 unique frames over 262.58s
|
|
[16:58] [debug] iframes: 1
|
|
[16:58] [debug] iframe[0]: src=http://127.0.0.1:41890/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=1536x1024, rafFrozen=True
|
|
[16:58] [timing] trigger_3d_previews: 0.0s
|
|
[17:01] Saved high-quality screenshot: sharp_basic_executed.png
|
|
[17:01] [timing] final_screenshot: 1.7s
|
|
[17:02] Capturing execution frames: sharp_exif.json
|
|
[17:25] Frame 1 saved (frame_000.jpg, t=0.0s)
|
|
[17:25] Validating workflow...
|
|
[17:25] Queuing workflow for execution...
|
|
[17:27] Frame 2 saved (frame_001.jpg, t=2.3s)
|
|
[17:27] [capture-periodic] freeze=4ms shot=112ms unfreeze=3ms saved=True
|
|
[17:29] Frame 3 saved (frame_002.jpg, t=4.4s)
|
|
[17:29] [capture-periodic] freeze=3ms shot=111ms unfreeze=4ms saved=True
|
|
[17:31] [capture-loop] iter=50 t=5.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.0/16.0GB (31%) swap=1.1/2.9GB (36%) cpu=55% browser_rss=0.65GB
|
|
[17:32] Frame 4 saved (frame_003.jpg, t=6.6s)
|
|
[17:32] [capture-periodic] freeze=3ms shot=108ms unfreeze=3ms saved=True
|
|
[17:36] [capture-loop] iter=100 t=11.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=5.6/16.0GB (35%) swap=1.0/2.9GB (36%) cpu=46% browser_rss=0.59GB
|
|
[17:42] [capture-loop] iter=150 t=17.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=7.4/16.0GB (46%) swap=1.0/2.9GB (36%) cpu=30% browser_rss=0.58GB
|
|
[17:48] [capture-loop] iter=200 t=22.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=58% browser_rss=0.58GB
|
|
[17:53] [capture-loop] iter=250 t=28.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.0/16.0GB (50%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[17:59] [capture-loop] iter=300 t=34.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (50%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[18:05] [capture-loop] iter=350 t=40.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.0/16.0GB (50%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[18:11] [capture-loop] iter=400 t=45.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (50%) swap=1.0/2.9GB (36%) cpu=66% browser_rss=0.58GB
|
|
[18:16] [capture-loop] iter=450 t=51.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (50%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[18:22] [capture-loop] iter=500 t=57.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[18:28] [capture-loop] iter=550 t=62.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[18:34] [capture-loop] iter=600 t=68.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=22 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[18:39] [capture-loop] iter=650 t=74.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[18:45] [capture-loop] iter=700 t=80.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.1/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[18:51] [capture-loop] iter=750 t=85.9s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[18:57] [capture-loop] iter=800 t=91.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[19:02] [capture-loop] iter=850 t=97.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[19:08] [capture-loop] iter=900 t=103.2s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=8.2/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=66% browser_rss=0.58GB
|
|
[19:14] [capture-loop] iter=950 t=108.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=66% browser_rss=0.58GB
|
|
[19:20] [capture-loop] iter=1000 t=114.6s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.4/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[19:25] [capture-loop] iter=1050 t=120.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.58GB
|
|
[19:31] [capture-loop] iter=1100 t=126.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.3/16.0GB (52%) swap=1.0/2.9GB (36%) cpu=68% browser_rss=0.58GB
|
|
[19:37] [capture-loop] iter=1150 t=131.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.2/16.0GB (51%) swap=1.0/2.9GB (36%) cpu=67% browser_rss=0.59GB
|
|
[19:43] [capture-loop] iter=1200 t=137.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.0/16.0GB (56%) swap=1.2/2.9GB (40%) cpu=79% browser_rss=0.59GB
|
|
[19:48] [capture-loop] iter=1250 t=143.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.2/16.0GB (64%) swap=1.2/2.9GB (40%) cpu=85% browser_rss=0.59GB
|
|
[19:54] [capture-loop] iter=1300 t=149.4s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.1/16.0GB (63%) swap=1.3/2.9GB (44%) cpu=81% browser_rss=0.59GB
|
|
[20:00] [capture-loop] iter=1350 t=155.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=11.2/16.0GB (70%) swap=1.4/2.9GB (48%) cpu=76% browser_rss=0.58GB
|
|
[20:06] [capture-loop] iter=1400 t=161.1s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=13 ram=11.1/16.0GB (70%) swap=1.6/2.9GB (55%) cpu=85% browser_rss=0.56GB
|
|
[20:12] [capture-loop] iter=1450 t=167.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=9.5/16.0GB (59%) swap=1.6/2.9GB (55%) cpu=85% browser_rss=0.55GB
|
|
[20:18] [capture-loop] iter=1500 t=172.7s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=8.8/16.0GB (55%) swap=1.6/2.9GB (55%) cpu=75% browser_rss=0.54GB
|
|
[20:23] [capture-loop] iter=1550 t=178.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=5 ram=10.6/16.0GB (66%) swap=1.6/2.9GB (55%) cpu=69% browser_rss=0.53GB
|
|
[20:29] [capture-loop] iter=1600 t=184.3s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=10.3/16.0GB (64%) swap=1.7/2.9GB (59%) cpu=69% browser_rss=0.51GB
|
|
[20:35] [capture-loop] iter=1650 t=190.0s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=3 ram=9.8/16.0GB (61%) swap=1.7/2.9GB (59%) cpu=68% browser_rss=0.51GB
|
|
[20:41] [capture-loop] iter=1700 t=195.8s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.5/16.0GB (53%) swap=1.7/2.9GB (59%) cpu=56% browser_rss=0.50GB
|
|
[20:42] Frame 5 saved (frame_004.jpg, t=197.0s)
|
|
[20:42] [capture-periodic] freeze=3ms shot=107ms unfreeze=3ms saved=True
|
|
[20:46] [capture-loop] iter=1750 t=201.5s state={'complete': False, 'error': None, 'executedCount': 0, 'wsState': 1} eval_ms=4 ram=8.7/16.0GB (54%) swap=1.4/2.9GB (50%) cpu=39% browser_rss=0.50GB
|
|
[20:47] Node executed (1 total), capturing...
|
|
[20:47] Frame 6 saved (frame_005.jpg, t=201.9s)
|
|
[20:47] [capture-node] freeze=3ms shot=108ms unfreeze=0ms saved=True
|
|
[20:47] Execution complete (t=201.9s)
|
|
[20:47] [3d-wait] Phase 1: Waiting for 'Loading 3D Model' text to disappear...
|
|
[20:47] [3d-wait] Phase 1 done in 0.0s
|
|
[20:47] [3d-wait] Phase 2: iframes=1
|
|
[20:47] [3d-wait] iframe viewer_ready=False (matched 0 console logs)
|
|
[20:47] [3d-wait] Waiting for 'Loaded successfully' console message (timeout=60s)...
|
|
[20:48] [3d-wait] Got 'Loaded successfully' after 1.2s
|
|
[20:48] [3d-wait] Unfrozen in 0.158s, rendering for 5s...
|
|
[20:59] [3d-wait] JS halted via CDP after 10.5s
|
|
[21:29] [3d-wait] Re-frozen in 41.1s
|
|
[21:29] [3d-wait] Total 3D wait: 42.3s
|
|
[21:29] Captured 6 unique frames over 244.34s
|
|
[21:29] [debug] iframes: 1
|
|
[21:29] [debug] iframe[0]: src=http://127.0.0.1:41890/extensions/ComfyUI-GeometryPack/viewer_gaussian.html?v=17, canvas=3040x2022, rafFrozen=True
|
|
[21:29] [timing] trigger_3d_previews: 0.0s
|
|
[21:31] Saved high-quality screenshot: sharp_exif_executed.png
|
|
[21:31] [timing] final_screenshot: 0.2s
|
|
[21:33] Results saved to D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-0524\dev\windows-portable-cpu\results.json
|
|
[21:33] Model report: 12 files, 2.6 GB -> D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-0524\dev\windows-portable-cpu\models.json
|
|
[21:33] Saved: D:\a\comfy-gpu-ci\comfy-gpu-ci\comfy-test-logs\Sharp-0524\dev\windows-portable-cpu\index.html
|
|
[21:33] [EXECUTION] PASSED
|
|
[21:33]
|
|
windows_portable: PASSED
|
|
[21:33] Stopping ComfyUI server...
|