starting build "e5c90217-634d-42c3-8dec-e0f481c85235"

FETCHSOURCE
From https://github.com/Robopipe/Studio
 * branch            298c59b8938957105f19627c3eb1efc4d5c86f79 -> FETCH_HEAD
HEAD is now at 298c59b Added support for MuSGD optimizer
GitCommit:
298c59b8938957105f19627c3eb1efc4d5c86f79
BUILD
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Step #0: Status: Downloaded newer image for europe-west4-docker.pkg.dev/io-robopipe-dev/robopipe-staging-docker/ml-yolo:latest
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Starting Step #1
Step #1: Already have image (with digest): gcr.io/cloud-builders/docker
Step #1: #1 [internal] load build definition from Dockerfile
Step #1: #1 sha256:529fd08b239a35528b367f9c290f3725733f10f5488102bb4677a164f9db5867
Step #1: #1 transferring dockerfile: 7.70kB 0.0s done
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Step #1: #2 [internal] load .dockerignore
Step #1: #2 sha256:8e66d56555c5c93db5009b11dc1119028719a9582c98c9aa2fb3644d844a6d7b
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Step #1: #5 [ 1/14] FROM docker.io/library/python:3.10-slim@sha256:70f65c721aaddfb22b20ed6ec12606c59d9592493c5fcb6639f3d0e8ba3fbc10
Step #1: #5 sha256:a5c50845795e32d27a46195311c675bd521c88443ae72ae94d577ace7925dee6
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Step #1: 
Step #1: #4 importing cache manifest from europe-west4-docker.pkg.dev/io-robopipe-dev/robopipe-staging-docker/ml-yolo:latest
Step #1: #4 sha256:e856c36aa80659b5e6a6b0bb0903a16f122fdb5eebf48346006605947b21283c
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Step #1: #9 [internal] load build context
Step #1: #9 sha256:65e6a2b37efc1a4fdc0386fe1dd27e09557a8d6061b9dcae1766391f98f8946b
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Step #1: #6 [ 2/14] WORKDIR /app
Step #1: #6 sha256:bec9dd23adb6b2690d548f5056e625f7a099fc2a25120b17fe51a7d24b1a7342
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Step #1: 
Step #1: #7 [ 3/14] RUN apt-get update && apt-get install -y --no-install-recommends     build-essential     cmake     libgl1     libglib2.0-0     libsm6     libxext6     libxrender1     curl     git     && rm -rf /var/lib/apt/lists/*
Step #1: #7 sha256:26972414cc1f5379620ce400ab591633a8ae454e1fc5c6e7d8c866ddbb6b9b0e
Step #1: #7 CACHED
Step #1: 
Step #1: #8 [ 4/14] RUN pip install --no-cache-dir --upgrade pip
Step #1: #8 sha256:0d688a08354b790051dd5d00c4aab4bd6c077ec67f82ccafc262eadb19fe3fad
Step #1: #8 CACHED
Step #1: 
Step #1: #10 [ 5/14] COPY requirements.txt .
Step #1: #10 sha256:93d19655d5d7b22b3d9b7bea805fae29fad1b1265f70a6e2e09ad5a868091b95
Step #1: #10 DONE 0.0s
Step #1: 
Step #1: #11 [ 6/14] RUN pip install --no-cache-dir --timeout=120 --retries=5 -r requirements.txt
Step #1: #11 sha256:615bcb80f9d21db2580678610680f4d023ed55be5869acf5829db08f2b03d84f
Step #1: #11 1.392 Collecting hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8 (from -r requirements.txt (line 56))
Step #1: #11 1.393   Cloning https://github.com/luxonis/hubai-sdk.git (to revision e5e64a92a7b167610c41ecbba48def2abd3620c8) to /tmp/pip-install-m6yr7qnh/hubai-sdk_d142edda88c64c65a76b7b9d1fc6eaf3
Step #1: #11 1.420   Running command git clone --filter=blob:none --quiet https://github.com/luxonis/hubai-sdk.git /tmp/pip-install-m6yr7qnh/hubai-sdk_d142edda88c64c65a76b7b9d1fc6eaf3
Step #1: #11 2.079   Running command git rev-parse -q --verify 'sha^e5e64a92a7b167610c41ecbba48def2abd3620c8'
Step #1: #11 2.083   Running command git fetch -q https://github.com/luxonis/hubai-sdk.git e5e64a92a7b167610c41ecbba48def2abd3620c8
Step #1: #11 2.218   Running command git checkout -q e5e64a92a7b167610c41ecbba48def2abd3620c8
Step #1: #11 2.364   Resolved https://github.com/luxonis/hubai-sdk.git to commit e5e64a92a7b167610c41ecbba48def2abd3620c8
Step #1: #11 2.370   Installing build dependencies: started
Step #1: #11 3.527   Installing build dependencies: finished with status 'done'
Step #1: #11 3.529   Getting requirements to build wheel: started
Step #1: #11 4.165   Getting requirements to build wheel: finished with status 'done'
Step #1: #11 4.167   Preparing metadata (pyproject.toml): started
Step #1: #11 4.446   Preparing metadata (pyproject.toml): finished with status 'done'
Step #1: #11 4.576 Collecting fastapi==0.115.5 (from -r requirements.txt (line 7))
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Step #1: #11 5.077 Collecting torch==2.8.0 (from -r requirements.txt (line 26))
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Step #1: #11 5.155 Collecting torchvision==0.23.0 (from -r requirements.txt (line 27))
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Step #1: #11 5.235 Collecting onnx==1.16.2 (from -r requirements.txt (line 47))
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Step #1: #11 5.310 Collecting onnxsim==0.4.36 (from -r requirements.txt (line 48))
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Step #1: #11 5.341 Collecting onnxslim==0.1.91 (from -r requirements.txt (line 49))
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Step #1: #11 5.433 Collecting onnxruntime==1.23.0 (from -r requirements.txt (line 50))
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Step #1: #11 5.455 Collecting luxonis-ml>=0.8.0 (from -r requirements.txt (line 57))
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Step #1: #11 5.511 Collecting requests==2.32.3 (from -r requirements.txt (line 60))
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Step #1: #11 5.537 Collecting httpx==0.28.1 (from -r requirements.txt (line 61))
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Step #1: #11 5.561 Collecting python-dotenv==1.0.1 (from -r requirements.txt (line 64))
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Step #1: #11 5.617 Collecting PyYAML==6.0.2 (from -r requirements.txt (line 65))
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Step #1: #11 5.705 Collecting opencv-python==4.11.0.86 (from -r requirements.txt (line 68))
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Step #1: #11 5.951 Collecting pillow==12.0.0 (from -r requirements.txt (line 69))
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Step #1: #11 6.283 Collecting numpy==1.26.4 (from -r requirements.txt (line 70))
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Step #1: #11 6.335 Collecting keyring (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
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Step #1: #11 6.378 Collecting cyclopts (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.383   Downloading cyclopts-4.15.0-py3-none-any.whl.metadata (12 kB)
Step #1: #11 6.401 Collecting loguru (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.409   Downloading loguru-0.7.3-py3-none-any.whl.metadata (22 kB)
Step #1: #11 6.462 Collecting rich (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.468   Downloading rich-15.0.0-py3-none-any.whl.metadata (18 kB)
Step #1: #11 6.488 Collecting packaging (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.493   Downloading packaging-26.2-py3-none-any.whl.metadata (3.5 kB)
Step #1: #11 6.597 Collecting psutil (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.603   Downloading psutil-7.2.2-cp36-abi3-manylinux2010_x86_64.manylinux_2_12_x86_64.manylinux_2_28_x86_64.whl.metadata (22 kB)
Step #1: #11 6.661 Collecting posthog (from hubai-sdk @ git+https://github.com/luxonis/hubai-sdk.git@e5e64a92a7b167610c41ecbba48def2abd3620c8->-r requirements.txt (line 56))
Step #1: #11 6.668   Downloading posthog-7.15.3-py3-none-any.whl.metadata (4.6 kB)
Step #1: #11 6.702 Collecting starlette<0.42.0,>=0.40.0 (from fastapi==0.115.5->-r requirements.txt (line 7))
Step #1: #11 6.707   Downloading starlette-0.41.3-py3-none-any.whl.metadata (6.0 kB)
Step #1: #11 6.732 Collecting typing-extensions>=4.8.0 (from fastapi==0.115.5->-r requirements.txt (line 7))
Step #1: #11 6.737   Downloading typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)
Step #1: #11 6.747 Collecting annotated-types>=0.6.0 (from pydantic==2.10.5->-r requirements.txt (line 9))
Step #1: #11 6.753   Downloading annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)
Step #1: #11 7.796 Collecting pydantic-core==2.27.2 (from pydantic==2.10.5->-r requirements.txt (line 9))
Step #1: #11 7.817   Downloading pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Step #1: #11 7.839 Collecting click>=7.0 (from uvicorn==0.32.1->-r requirements.txt (line 8))
Step #1: #11 7.844   Downloading click-8.4.1-py3-none-any.whl.metadata (2.6 kB)
Step #1: #11 7.855 Collecting h11>=0.8 (from uvicorn==0.32.1->-r requirements.txt (line 8))
Step #1: #11 7.860   Downloading h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)
Step #1: #11 8.056 Collecting matplotlib>=3.3.0 (from ultralytics==8.4.53->-r requirements.txt (line 25))
Step #1: #11 8.062   Downloading matplotlib-3.10.9-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (52 kB)
Step #1: #11 8.293 Collecting scipy>=1.4.1 (from ultralytics==8.4.53->-r requirements.txt (line 25))
Step #1: #11 8.299   Downloading scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
Step #1: #11 8.476 Collecting polars>=0.20.0 (from ultralytics==8.4.53->-r requirements.txt (line 25))
Step #1: #11 8.480   Downloading polars-1.41.0-py3-none-any.whl.metadata (10 kB)
Step #1: #11 8.508 Collecting ultralytics-thop>=2.0.18 (from ultralytics==8.4.53->-r requirements.txt (line 25))
Step #1: #11 8.513   Downloading ultralytics_thop-2.0.19-py3-none-any.whl.metadata (14 kB)
Step #1: #11 8.539 Collecting filelock (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.544   Downloading filelock-3.29.0-py3-none-any.whl.metadata (2.0 kB)
Step #1: #11 8.563 Collecting sympy>=1.13.3 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.568   Downloading sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
Step #1: #11 8.593 Collecting networkx (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.598   Downloading networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)
Step #1: #11 8.620 Collecting jinja2 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.625   Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
Step #1: #11 8.651 Collecting fsspec (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.658   Downloading fsspec-2026.4.0-py3-none-any.whl.metadata (10 kB)
Step #1: #11 8.705 Collecting nvidia-cuda-nvrtc-cu12==12.8.93 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.710   Downloading nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Step #1: #11 8.722 Collecting nvidia-cuda-runtime-cu12==12.8.90 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.727   Downloading nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Step #1: #11 8.740 Collecting nvidia-cuda-cupti-cu12==12.8.90 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.744   Downloading nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Step #1: #11 8.762 Collecting nvidia-cudnn-cu12==9.10.2.21 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.767   Downloading nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Step #1: #11 8.780 Collecting nvidia-cublas-cu12==12.8.4.1 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.785   Downloading nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Step #1: #11 8.799 Collecting nvidia-cufft-cu12==11.3.3.83 (from torch==2.8.0->-r requirements.txt (line 26))
Step #1: #11 8.804   Downloading nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Step #1: #11 8.816 Collecting nvidia-curand-cu12==10.3.9.90 (from torch==2.8.0->-r requirements.txt (line 26))
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Step #1: #15 26.57 Downloading tqdm-4.67.3-py3-none-any.whl (78 kB)
Step #1: #15 28.12 Building wheels for collected packages: wget
Step #1: #15 28.12   Building wheel for wget (pyproject.toml): started
Step #1: #15 28.43   Building wheel for wget (pyproject.toml): finished with status 'done'
Step #1: #15 28.43   Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9685 sha256=05faede231b7f24d972f12d714ce354cff46958e1fc2d80b8e46692b19eacaa5
Step #1: #15 28.43   Stored in directory: /tmp/pip-ephem-wheel-cache-59_ew46x/wheels/8b/f1/7f/5c94f0a7a505ca1c81cd1d9208ae2064675d97582078e6c769
Step #1: #15 28.43 Successfully built wget
Step #1: #15 29.04 Installing collected packages: wget, simsimd, mpmath, flatbuffers, zipp, wrapt, urllib3, typing-extensions, tqdm, tomli, sympy, stringzilla, soupsieve, six, shellingham, semver, PyYAML, python-dotenv, PySocks, pyparsing, pygments, pycparser, pyasn1, psutil, protobuf, propcache, polars, Pillow, packaging, ordered-set, oauthlib, numpy, more-itertools, mdurl, loguru, kiwisolver, jmespath, jeepney, idna, humanfriendly, google-crc32c, fsspec, frozenlist, fonttools, filelock, docutils, docstring-parser, defusedxml, decorator, cycler, click, charset_normalizer, certifi, bidict, backports.tarfile, attrs, async-timeout, annotated-types, annotated-doc, aioitertools, aiohappyeyeballs, typing-inspection, typeguard, scipy, requests, python-dateutil, pydantic-core, pycocotools, pyasn1-modules, pyarrow, proto-plus, pillow-heif, opencv-python-headless, opencv-python, multidict, ml_dtypes, markdown-it-py, jaraco.functools, jaraco.context, jaraco.classes, importlib_metadata, grpcio, googleapis-common-protos, google-resumable-media, contourpy, coloredlogs, cffi, beautifulsoup4, aiosignal, yarl, rich, requests-oauthlib, pydantic, onnxruntime, onnx, matplotlib, grpcio-status, docker, cryptography, botocore, albucore, typer, SecretStorage, rich-rst, pydantic-settings, pydantic-extra-types, onnxsim, onnx_graphsurgeon, grpc-google-iam-v1, google-auth, gdown, albumentations, aiohttp, keyring, google-auth-oauthlib, google-api-core, cyclopts, aiobotocore, s3fs, luxonis-ml, google-cloud-core, google-cloud-storage-control, google-cloud-storage, gcsfs, modelconv
Step #1: #15 69.00 
Step #1: #15 69.03 Successfully installed Pillow-12.2.0 PySocks-1.7.1 PyYAML-6.0.3 SecretStorage-3.5.0 aiobotocore-2.17.0 aiohappyeyeballs-2.6.2 aiohttp-3.13.5 aioitertools-0.13.0 aiosignal-1.4.0 albucore-0.0.24 albumentations-2.0.8 annotated-doc-0.0.4 annotated-types-0.7.0 async-timeout-5.0.1 attrs-26.1.0 backports.tarfile-1.2.0 beautifulsoup4-4.14.3 bidict-0.23.1 botocore-1.35.93 certifi-2026.5.20 cffi-2.0.0 charset_normalizer-3.4.7 click-8.4.1 coloredlogs-15.0.1 contourpy-1.3.2 cryptography-48.0.0 cycler-0.12.1 cyclopts-4.8.0 decorator-5.3.1 defusedxml-0.7.1 docker-7.1.0 docstring-parser-0.18.0 docutils-0.22.4 filelock-3.29.0 flatbuffers-25.12.19 fonttools-4.63.0 frozenlist-1.8.0 fsspec-2026.1.0 gcsfs-2026.1.0 gdown-4.7.3 google-api-core-2.30.3 google-auth-2.53.0 google-auth-oauthlib-1.4.0 google-cloud-core-2.6.0 google-cloud-storage-3.10.1 google-cloud-storage-control-1.11.0 google-crc32c-1.8.0 google-resumable-media-2.9.0 googleapis-common-protos-1.75.0 grpc-google-iam-v1-0.14.4 grpcio-1.80.0 grpcio-status-1.80.0 humanfriendly-10.0 idna-3.16 importlib_metadata-9.0.0 jaraco.classes-3.4.0 jaraco.context-6.1.2 jaraco.functools-4.5.0 jeepney-0.9.0 jmespath-1.1.0 keyring-25.7.0 kiwisolver-1.5.0 loguru-0.7.3 luxonis-ml-0.8.5 markdown-it-py-4.2.0 matplotlib-3.10.9 mdurl-0.1.2 ml_dtypes-0.5.4 modelconv-0.5.3 more-itertools-11.1.0 mpmath-1.3.0 multidict-6.7.1 numpy-1.26.4 oauthlib-3.3.1 onnx-1.21.0 onnx_graphsurgeon-0.6.1 onnxruntime-1.23.2 onnxsim-0.6.3 opencv-python-4.11.0.86 opencv-python-headless-4.11.0.86 ordered-set-4.1.0 packaging-26.2 pillow-heif-0.21.0 polars-0.20.31 propcache-0.5.2 proto-plus-1.28.0 protobuf-6.33.6 psutil-7.2.2 pyarrow-17.0.0 pyasn1-0.6.3 pyasn1-modules-0.4.2 pycocotools-2.0.11 pycparser-3.0 pydantic-2.13.4 pydantic-core-2.46.4 pydantic-extra-types-2.11.1 pydantic-settings-2.14.1 pygments-2.20.0 pyparsing-3.3.2 python-dateutil-2.9.0.post0 python-dotenv-1.2.2 requests-2.34.2 requests-oauthlib-2.0.0 rich-13.9.4 rich-rst-1.3.2 s3fs-2026.1.0 scipy-1.15.3 semver-3.0.4 shellingham-1.5.4 simsimd-6.5.16 six-1.17.0 soupsieve-2.8.4 stringzilla-4.6.1 sympy-1.14.0 tomli-2.4.1 tqdm-4.67.3 typeguard-4.5.2 typer-0.25.1 typing-extensions-4.15.0 typing-inspection-0.4.2 urllib3-2.7.0 wget-3.2 wrapt-1.17.3 yarl-1.24.2 zipp-4.1.0
Step #1: #15 DONE 70.5s
Step #1: 
Step #1: #16 [11/14] RUN cd /app && for v in     yolo11n yolo11s yolo11m yolo11l yolo11x     yolo11n-seg yolo11s-seg yolo11m-seg yolo11l-seg yolo11x-seg     ; do     curl -fL --retry 3 -o ${v}.pt         https://github.com/ultralytics/assets/releases/download/v8.3.0/${v}.pt;     done
Step #1: #16 sha256:2ed6e57170a04e7115a0e7533dd57a7080b4700ca50f7256cba2c833e8f8ea9b
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Step #1: #16 0.784 
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Step #1: #16 0.799   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 0.799                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 0.799 
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Step #1: #16 1.085 
100 38.7M  100 38.7M    0     0   135M      0 --:--:-- --:--:-- --:--:--  135M
Step #1: #16 1.100   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 1.100                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 1.100 
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Step #1: #16 1.355 
100 49.0M  100 49.0M    0     0   191M      0 --:--:-- --:--:-- --:--:--  191M
Step #1: #16 1.371   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 1.371                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 1.371 
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Step #1: #16 1.969 
100  109M  100  109M    0     0   182M      0 --:--:-- --:--:-- --:--:--  182M
Step #1: #16 1.985   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 1.985                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 1.985 
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Step #1: #16 2.136 
 58 6037k   58 3529k    0     0  22.7M      0 --:--:-- --:--:-- --:--:-- 22.7M
100 6037k  100 6037k    0     0  37.1M      0 --:--:-- --:--:-- --:--:--  349M
Step #1: #16 2.158   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 2.158                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 2.158 
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Step #1: #16 2.388 
100 19.7M  100 19.7M    0     0  85.8M      0 --:--:-- --:--:-- --:--:-- 85.8M
Step #1: #16 2.403   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 2.404                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 2.404 
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Step #1: #16 2.740 
100 43.2M  100 43.2M    0     0   128M      0 --:--:-- --:--:-- --:--:--  128M
Step #1: #16 2.754   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 2.754                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 2.755 
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Step #1: #16 3.134 
100 53.4M  100 53.4M    0     0   140M      0 --:--:-- --:--:-- --:--:--  140M
Step #1: #16 3.152   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #16 3.152                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #16 3.152 
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Step #1: #16 3.741 
100  119M  100  119M    0     0   202M      0 --:--:-- --:--:-- --:--:--  202M
Step #1: #16 DONE 5.1s
Step #1: 
Step #1: #17 [12/14] RUN cd /app && for v in     yolo26n yolo26s yolo26m yolo26l yolo26x     yolo26n-seg yolo26s-seg yolo26m-seg yolo26l-seg yolo26x-seg     ; do     curl -fL --retry 3 -o ${v}.pt         https://github.com/ultralytics/assets/releases/download/v8.4.0/${v}.pt;     done
Step #1: #17 sha256:a8068796b1f6f6b0a33fe4f13e42f69da08dce3d0f0a6a12db398957cdd225f7
Step #1: #17 0.435   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 0.435                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 0.435 
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Step #1: #17 0.576 
100 5414k  100 5414k    0     0  37.5M      0 --:--:-- --:--:-- --:--:-- 37.5M
Step #1: #17 0.592   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 0.592                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 0.592 
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Step #1: #17 0.804 
100 19.4M  100 19.4M    0     0  92.0M      0 --:--:-- --:--:-- --:--:-- 92.0M
Step #1: #17 0.819   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 0.819                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 0.819 
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Step #1: #17 1.016 
 13 42.2M   13 5885k    0     0  29.1M      0  0:00:01 --:--:--  0:00:01 29.1M
100 42.2M  100 42.2M    0     0   125M      0 --:--:-- --:--:-- --:--:--  260M
Step #1: #17 1.172   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 1.172                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 1.172 
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Step #1: #17 1.535 
100 50.7M  100 50.7M    0     0   139M      0 --:--:-- --:--:-- --:--:--  139M
Step #1: #17 1.550   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 1.550                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 1.551 
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Step #1: #17 2.014 
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100  113M  100  113M    0     0   171M      0 --:--:-- --:--:-- --:--:--  188M
Step #1: #17 2.226   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 2.226                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 2.226 
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Step #1: #17 2.370 
100 6562k  100 6562k    0     0  44.6M      0 --:--:-- --:--:-- --:--:-- 44.6M
Step #1: #17 2.386   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 2.386                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 2.386 
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Step #1: #17 2.649 
100 22.3M  100 22.3M    0     0  84.9M      0 --:--:-- --:--:-- --:--:-- 84.9M
Step #1: #17 2.666   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 2.666                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 2.666 
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Step #1: #17 3.014 
 82 52.2M   82 43.2M    0     0   124M      0 --:--:-- --:--:-- --:--:--  124M
100 52.2M  100 52.2M    0     0   126M      0 --:--:-- --:--:-- --:--:--  142M
Step #1: #17 3.095   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 3.095                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 3.095 
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Step #1: #17 3.486 
100 60.7M  100 60.7M    0     0   155M      0 --:--:-- --:--:-- --:--:--  155M
Step #1: #17 3.501   % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
Step #1: #17 3.501                                  Dload  Upload   Total   Spent    Left  Speed
Step #1: #17 3.501 
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Step #1: #17 4.015 
 67  135M   67 91.8M    0     0   178M      0 --:--:-- --:--:-- --:--:--  178M
100  135M  100  135M    0     0   181M      0 --:--:-- --:--:-- --:--:--  188M
Step #1: #17 DONE 5.0s
Step #1: 
Step #1: #18 [13/14] COPY app/ ./app/
Step #1: #18 sha256:3b1140cd1b8b03f85f9b5fe6cdfbeadbce3e7aadcdae9aa1f48493b7cdfdc866
Step #1: #18 DONE 0.0s
Step #1: 
Step #1: #19 [14/14] RUN mkdir -p /app/export /app/dataset
Step #1: #19 sha256:2919aa2988fb801ac26c59643798611f445bc7858b88a1fb73746cd437c7f8a9
Step #1: #19 DONE 0.4s
Step #1: 
Step #1: #20 exporting to image
Step #1: #20 sha256:e8c613e07b0b7ff33893b694f7759a10d42e180f2b4dc349fb57dc6b71dcab00
Step #1: #20 exporting layers done
Step #1: #20 writing image sha256:af944efd3863b3c1924e5ddc8c4d8757c9ee0b860ce41653a97b9690c6f82442 done
Step #1: #20 naming to europe-west4-docker.pkg.dev/io-robopipe-dev/robopipe-staging-docker/ml-yolo:298c59b done
Step #1: #20 naming to europe-west4-docker.pkg.dev/io-robopipe-dev/robopipe-staging-docker/ml-yolo:latest done
Step #1: #20 DONE 0.0s
Step #1: 
Step #1: #21 exporting cache
Step #1: #21 sha256:2700d4ef94dee473593c5c614b55b2dedcca7893909811a8f2b48291a1f581e4
Step #1: #21 preparing build cache for export done
Step #1: #21 DONE 0.0s
Finished Step #1
Starting Step #2
Step #2: Already have image (with digest): gcr.io/cloud-builders/docker
Step #2: The push refers to repository [europe-west4-docker.pkg.dev/io-robopipe-dev/robopipe-staging-docker/ml-yolo]
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Step #2: 298c59b: digest: sha256:c823653f961ba087ab06019503e163aedb824e8c7a1c4e01384c52657932d38b size: 3906
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Step #2: latest: digest: sha256:c823653f961ba087ab06019503e163aedb824e8c7a1c4e01384c52657932d38b size: 3906
Finished Step #2
PUSH
DONE