72 lines
15 KiB
JSON
72 lines
15 KiB
JSON
{
|
|
"timestamp": "2026-05-20T11:24:42.791488+00:00",
|
|
"platform": "linux",
|
|
"hardware": {
|
|
"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
|
|
"cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz",
|
|
"gpu": "NVIDIA GeForce RTX 3090"
|
|
},
|
|
"commit_hash": "695987087b73232bf85d5fec90579e58e438a16f",
|
|
"run_url": "https://github.com/PozzettiAndrea/comfy-gpu-ci/actions/runs/26154561552",
|
|
"success": false,
|
|
"summary": {
|
|
"total": 3,
|
|
"passed": 1,
|
|
"failed": 1
|
|
},
|
|
"workflows": [
|
|
{
|
|
"name": "pano",
|
|
"status": "skipped",
|
|
"duration_seconds": 0,
|
|
"error": "Not configured for GPU runner",
|
|
"hardware": null
|
|
},
|
|
{
|
|
"name": "sharp_basic",
|
|
"status": "pass",
|
|
"duration_seconds": 216.36,
|
|
"error": null,
|
|
"hardware": {
|
|
"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
|
|
"cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz",
|
|
"gpu": "NVIDIA GeForce RTX 3090"
|
|
},
|
|
"resources": {
|
|
"ram": {
|
|
"peak": 5.69,
|
|
"avg": 1.44
|
|
},
|
|
"total_ram_gb": 31.2,
|
|
"samples": 200,
|
|
"vram": {
|
|
"peak": 13.77,
|
|
"avg": 1.28
|
|
}
|
|
}
|
|
},
|
|
{
|
|
"name": "sharp_exif",
|
|
"status": "fail",
|
|
"duration_seconds": 23.86,
|
|
"error": "Workflow execution failed: {'prompt_id': '9b3392a6-5d16-4dd4-ac2f-ad6d32343705', 'node_id': '7', 'node_type': 'SharpPredict', 'executed': ['2', '9'], 'exception_message': 'Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 3.23 GiB\\nRequested : 576.00 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 43.94 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\nWorker traceback:\\nTraceback (most recent call last):\\n File \"/tmp/comfyui_pvenv_a11oe11y/persistent_worker.py\", line 1762, in main\\n result = method(**inputs)\\n File \"/workspaces/Sharp-1033/ComfyUI/comfy_api/latest/_io.py\", line 1833, in EXECUTE_NORMALIZED\\n to_return = cls.execute(*args, **kwargs)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/utils/_contextlib.py\", line 124, in decorate_context\\n return func(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 184, in execute\\n gaussians = _predict_image_cached(\\n patcher, predictor, image_np, f_px, device,\\n extrinsics=img_extrinsics,\\n intrinsics=img_intrinsics,\\n )\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/predict.py\", line 287, in _predict_image_cached\\n monodepth_output, _ = predictor.encode(image_resized_pt)\\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py\", line 2006, in encode\\n monodepth_output = self.monodepth_model(image)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py\", line 1118, in forward\\n decoder_features = self.monodepth_predictor.decoder(encoder_features)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py\", line 970, in forward\\n features = self.fusions[i](features, features_i)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py\", line 860, in forward\\n x = self.resnet2(x)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/custom_nodes/ComfyUI-Sharp/nodes/sharp/model.py\", line 766, in forward\\n delta_x = self.residual(x)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/container.py\", line 253, in forward\\n input = module(input)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1776, in _wrapped_call_impl\\n return self._call_impl(*args, **kwargs)\\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/module.py\", line 1787, in _call_impl\\n return forward_call(*args, **kwargs)\\n File \"/workspaces/Sharp-1033/ComfyUI/comfy/ops.py\", line 516, in forward\\n return self.forward_comfy_cast_weights(*args, **kwargs)\\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\\n File \"/workspaces/Sharp-1033/ComfyUI/comfy/ops.py\", line 509, in forward_comfy_cast_weights\\n x = self._conv_forward(input, weight, bias)\\n File \"/tmp/comfytest-home/.ce/envs/sharp-nodes/.pixi/envs/default/lib/python3.13/site-packages/torch/nn/modules/conv.py\", line 548, in _conv_forward\\n return F.conv2d(\\n ~~~~~~~~^\\n input, weight, bias, self.stride, self.padding, self.dilation, self.groups\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n )\\n ^\\ntorch.OutOfMemoryError: Allocation on device 0 would exceed allowed memory. (out of memory)\\nCurrently allocated : 3.23 GiB\\nRequested : 576.00 MiB\\nDevice limit : 23.56 GiB\\nFree (according to CUDA): 43.94 MiB\\nPyTorch limit (set by user-supplied memory fraction)\\n : 17179869184.00 GiB\\n\\n', 'exception_type': 'comfy_env.isolation.workers.base.WorkerError', 'traceback': [' File \"/workspaces/Sharp-1033/ComfyUI/execution.py\", line 535, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/Sharp-1033/ComfyUI/execution.py\", line 335, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n', ' File \"/workspaces/Sharp-1033/ComfyUI/execution.py\", line 309, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n', ' File \"/workspaces/Sharp-1033/ComfyUI/execution.py\", line 297, in process_inputs\\n result = f(**inputs)\\n', ' File \"/workspaces/Sharp-1033/.venv/lib/python3.13/site-packages/comfy_env/isolation/metadata.py\", line 560, in proxy\\n result = worker.call_method(\\n module_name=mod,\\n ...<4 lines>...\\n timeout=600.0,\\n )\\n', ' File \"/workspaces/Sharp-1033/.venv/lib/python3.13/site-packages/comfy_env/isolation/workers/subprocess.py\", line 674, in call_method\\n raise WorkerError(\\n ...<2 lines>...\\n )\\n'], 'current_inputs': {'focal_length_mm': [20], 'output_prefix': ['sharp'], 'model': [\"{'model_path': '/workspaces/Sharp-1033/ComfyUI/models/sharp/sharp_2572gikvuh.pt', 'precision': 'auto', 'dtype': 'bf16'}\"], 'image': ['tensor([[[[0.2157, 0.1647, 0.1569],\\n [0.2275, 0.1608, 0.1608],\\n [0.2275, 0.1647, 0.1529],\\n ...,\\n [0.4471, 0.4745, 0.4863],\\n [0.4510, 0.4745, 0.4863],\\n [0.4431, 0.4745, 0.4745]],\\n\\n [[0.2196, 0.1686, 0.1569],\\n [0.2314, 0.1647, 0.1608],\\n [0.2353, 0.1647, 0.1647],\\n ...,\\n [0.4549, 0.4784, 0.4706],\\n [0.4549, 0.4706, 0.4784],\\n [0.4431, 0.4706, 0.4667]],\\n\\n [[0.2314, 0.1725, 0.1569],\\n [0.2510, 0.1725, 0.1608],\\n [0.2392, 0.1725, 0.1686],\\n ...,\\n [0.4588, 0.4745, 0.4627],\\n [0.4510, 0.4745, 0.4667],\\n [0.4471, 0.4706, 0.4627]],\\n\\n ...,\\n\\n [[0.1569, 0.1647, 0.1843],\\n [0.1647, 0.1725, 0.1882],\\n [0.1490, 0.1686, 0.1922],\\n ...,\\n [0.1020, 0.1137, 0.1373],\\n [0.1137, 0.1176, 0.1412],\\n [0.0863, 0.1176, 0.1373]],\\n\\n [[0.1569, 0.1686, 0.1804],\\n [0.1569, 0.1647, 0.1961],\\n [0.1490, 0.1647, 0.1961],\\n ...,\\n [0.1059, 0.1216, 0.1294],\\n [0.1176, 0.1216, 0.1333],\\n [0.1059, 0.1137, 0.1373]],\\n\\n [[0.1608, 0.1686, 0.1843],\\n [0.1608, 0.1686, 0.1882],\\n [0.1569, 0.1686, 0.1882],\\n ...,\\n [0.1059, 0.1176, 0.1333],\\n [0.1137, 0.1176, 0.1333],\\n [0.1333, 0.1176, 0.1333]]]])'], 'prompt': [\"{'2': {'inputs': {'precision': 'auto'}, 'class_type': 'LoadSharpModel', '_meta': {'title': '(Down)Load SHARP Model'}}, '7': {'inputs': {'focal_length_mm': ['9', 2], 'output_prefix': 'sharp', 'model': ['2', 0], 'image': ['9', 0]}, 'class_type': 'SharpPredict', '_meta': {'title': 'SHARP Predict (Image to PLY)'}}, '8': {'inputs': {'preview_gaussian': '', 'ply_path': ['7', 0], 'extrinsics': ['7', 1], 'intrinsics': ['7', 2]}, 'class_type': 'GeomPackPreviewGaussian', '_meta': {'title': 'Preview Gaussian'}}, '9': {'inputs': {'image': 'eth3d.png', 'default_focal_mm': 30.0}, 'class_type': 'LoadImageWithExif', '_meta': {'title': 'Load Image with EXIF (Focal Length)'}}}\"], 'extra_pnginfo': [\"{'workflow': {'id': 'sharp-basic-workflow', 'revision': 0, 'last_node_id': 10, 'last_link_id': 21, 'nodes': [{'id': 2, 'type': 'LoadSharpModel', 'pos': [-150, -400], 'size': [270, 106.65625], 'flags': {}, 'order': 0, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'model_config', 'type': 'SHARP_MODEL_CONFIG', 'links': [11]}], 'properties': {'Node name for S&R': 'LoadSharpModel', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': '9f1b9c726e2cfc0118866c3df783e7f6bc895226'}, 'widgets_values': ['auto']}, {'id': 9, 'type': 'LoadImageWithExif', 'pos': [-208.74978010739324, -99.02778023242435], 'size': [342.28125, 420], 'flags': {}, 'order': 1, 'mode': 0, 'inputs': [], 'outputs': [{'name': 'image', 'type': 'IMAGE', 'links': [19]}, {'name': 'mask', 'type': 'MASK', 'links': None}, {'name': 'focal_length_mm', 'type': 'FLOAT', 'links': [20]}], 'properties': {'Node name for S&R': 'LoadImageWithExif', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': ['eth3d.png', 30, 'image']}, {'id': 7, 'type': 'SharpPredict', 'pos': [226.15696022727278, -245.70490056818184], 'size': [298.890625, 212], 'flags': {}, 'order': 2, 'mode': 0, 'inputs': [{'name': 'model', 'type': 'SHARP_MODEL_CONFIG', 'link': 11}, {'name': 'image', 'type': 'IMAGE', 'link': 19}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': None}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': None}, {'name': 'focal_length_mm', 'shape': 7, 'type': 'FLOAT', 'widget': {'name': 'focal_length_mm'}, 'link': 20}], 'outputs': [{'name': 'ply_path', 'type': 'STRING', 'links': [16]}, {'name': 'extrinsics', 'type': 'EXTRINSICS', 'links': [17]}, {'name': 'intrinsics', 'type': 'INTRINSICS', 'links': [18]}], 'properties': {'Node name for S&R': 'SharpPredict', 'aux_id': 'PozzettiAndrea/ComfyUI-Sharp', 'ver': 'c69751a59b587c3b83d0e37cfe2bab3bc838574a'}, 'widgets_values': [30, 'sharp']}, {'id': 8, 'type': 'GeomPackPreviewGaussian', 'pos': [641.9426914835157, -275.49795068697], 'size': [512, 658], 'flags': {}, 'order': 3, 'mode': 0, 'inputs': [{'name': 'ply_path', 'type': 'STRING', 'link': 16}, {'name': 'extrinsics', 'shape': 7, 'type': 'EXTRINSICS', 'link': 17}, {'name': 'intrinsics', 'shape': 7, 'type': 'INTRINSICS', 'link': 18}], 'outputs': [], 'properties': {'Node name for S&R': 'GeomPackPreviewGaussian', 'aux_id': 'PozzettiAndrea/ComfyUI-GeometryPack', 'ver': 'df6bf3d73d0dda9c6ad7428eb58a00dc8cbaf6ed', 'cnr_id': 'comfyui-geometrypack'}, 'widgets_values': ['']}], 'links': [[11, 2, 0, 7, 0, 'SHARP_MODEL'], [16, 7, 0, 8, 0, 'STRING'], [17, 7, 1, 8, 1, 'EXTRINSICS'], [18, 7, 2, 8, 2, 'INTRINSICS'], [19, 9, 0, 7, 1, 'IMAGE'], [20, 9, 2, 7, 4, 'FLOAT']], 'groups': [], 'config': {}, 'extra': {'ds': {'scale': 1.1, 'offset': [292.8560303656579, 525.3669699599554]}, 'workflowRendererVersion': 'LG', 'frontendVersion': '1.43.18'}, 'version': 0.4}}\"]}, 'current_outputs': ['2', '9', '8', '7'], 'timestamp': 1779276282312}\n\nDetails:\nWorkflow: /node/ComfyUI-Sharp/workflows/sharp_exif.json\nNode error: SharpPredict",
|
|
"hardware": {
|
|
"os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.35",
|
|
"cpu": "Intel(R) Xeon(R) CPU E5-2697 v4 @ 2.30GHz",
|
|
"gpu": "NVIDIA GeForce RTX 3090"
|
|
},
|
|
"resources": {
|
|
"ram": {
|
|
"peak": 4.66,
|
|
"avg": 1.66
|
|
},
|
|
"total_ram_gb": 31.2,
|
|
"samples": 24,
|
|
"vram": {
|
|
"peak": 5.07,
|
|
"avg": 0.98
|
|
}
|
|
}
|
|
}
|
|
]
|
|
} |