cd layers && make
make[1]: Entering directory '/src/layers'
make[2]: Entering directory '/src/layers/layer5_python3_ia'
if test "MFEXT" = "MFEXT" -a "1" != "1"; then cat .layerapi2_label |/src/adm/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.layerapi2_label; else cat .layerapi2_label |/opt/metwork-mfext-master/bin/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.layerapi2_label; fi
if test "MFEXT" = "MFEXT" -a "1" != "1"; then cat .system_dependencies |/src/adm/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.system_dependencies; else cat .system_dependencies |/opt/metwork-mfext-master/bin/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.system_dependencies; fi
if test "MFEXT" = "MFEXT" -a "1" != "1"; then cat .layerapi2_dependencies |/src/adm/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.layerapi2_dependencies; else cat .layerapi2_dependencies |/opt/metwork-mfext-master/bin/envtpl --reduce-multi-blank-lines >/opt/metwork-mfext-master/opt/python3_ia/.layerapi2_dependencies; fi
_cache_logic_before_layer.sh "/opt/metwork-mfext-master/opt/python3_ia" "python3_ia"
/etc/buildimage_hash: b9099403b6c4a5410f62af35f5740468
/src/adm/root.mk md5sum hash: 250da484d2cf5296b6d10e69128cb1be
core@mfext layer (dependency) hash (from cache): 794f20327ce7e3bd846d545a71138523
python3@mfext layer (dependency) hash (from cache): 64154a639db57ecd69ede0ae7baa9339
python3_core@mfext layer (dependency) hash (from cache): e0325496c3a1224f16cac8e80a7d7a6c
python3_scientific@mfext layer (dependency) hash (from cache): 497a568d8e7f21f8780c0af5285baac1
root@mfext layer (dependency) hash (from cache): d7552646d67e521cd0a6528e75cbc66d
scientific@mfext layer (dependency) hash (from cache): 0bcfa328a62f78e873ddcc91b9c7327c
scientific_core@mfext layer (dependency) hash (from cache): 42feed8820b3e7e9864e2e891851a09c
source hash: 2a931dd69d4db94e5b3aeffe7fe513b6
cache missed (/buildcache/mfext_cache_layer_python3_ia_adc78f079b796a5912911902ad49abd7.tar)
if ! test -f cache/hit; then \
	for SUBDIR in 0500_extra_packages; do \
		OLDPWD=`pwd`; \
		cd $SUBDIR || exit 1; \
		make all || exit 1; \
		cd ${OLDPWD}; \
	done ; \
	chmod -R a+rX,g-w,o-w,u+w /opt/metwork-mfext-master/opt/python3_ia ; \
fi
make[3]: Entering directory '/src/layers/layer5_python3_ia/0500_extra_packages'
layer_wrapper --empty-env --empty-env-keeps=LANG,PATH,LAYERAPI2_LAYERS_PATH,PYTHON3_SHORT_VERSION,FORCED_PATHS,BUILDCACHE --force-prepend --layers=python3_scientific@mfext,python3_ia@mfext -- scl enable gcc-toolset-11 -- make -f Makefile.mk all
for REQ in requirements3.txt; do if test -s ${REQ}; then download_compile_requirements ${REQ} || { echo "ERROR WITH download_compile_requirements ${REQ}"; exit 1; }; fi; done
[DEBUG]: loading tempolayer430[/src/layers/layer5_python3_ia/0500_extra_packages/tempolayer430]
Collecting absl-py==2.2.2 (from -r requirements3.txt (line 1))
  Downloading absl_py-2.2.2-py3-none-any.whl.metadata (2.6 kB)
Collecting annotated-doc==0.0.4 (from -r requirements3.txt (line 2))
  Downloading annotated_doc-0.0.4.tar.gz (7.3 kB)
  Installing build dependencies: started
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  Getting requirements to build wheel: finished with status 'done'
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Collecting antlr4_python3_runtime==4.9.3 (from -r requirements3.txt (line 3))
  Downloading antlr4-python3-runtime-4.9.3.tar.gz (117 kB)
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Collecting astunparse==1.6.3 (from -r requirements3.txt (line 4))
  Downloading astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)
Collecting axial_attention==0.6.1 (from -r requirements3.txt (line 5))
  Downloading axial_attention-0.6.1.tar.gz (6.7 kB)
  Installing build dependencies: started
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Collecting bitsandbytes==0.49.1 (from -r requirements3.txt (line 6))
  Downloading bitsandbytes-0.49.1-py3-none-manylinux_2_24_x86_64.whl.metadata (10 kB)
Collecting cuda-bindings==12.9.4 (from -r requirements3.txt (line 7))
  Downloading cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (2.6 kB)
Collecting cuda-pathfinder==1.1.0 (from -r requirements3.txt (line 8))
  Downloading cuda_pathfinder-1.1.0-py3-none-any.whl.metadata (2.3 kB)
Collecting dataclasses_json==0.6.7 (from -r requirements3.txt (line 9))
  Downloading dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
Collecting diffusers==0.33.1 (from -r requirements3.txt (line 10))
  Downloading diffusers-0.33.1.tar.gz (2.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 12.4 MB/s  0:00:00
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Collecting dm-tree==0.1.9 (from -r requirements3.txt (line 11))
  Downloading dm_tree-0.1.9.tar.gz (35 kB)
  Installing build dependencies: started
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Collecting einops==0.8.1 (from -r requirements3.txt (line 12))
  Downloading einops-0.8.1.tar.gz (54 kB)
  Installing build dependencies: started
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Collecting flatbuffers==25.2.10 (from -r requirements3.txt (line 13))
  Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
Collecting google-auth==2.41.1 (from -r requirements3.txt (line 14))
  Downloading google_auth-2.41.1-py2.py3-none-any.whl.metadata (6.6 kB)
Collecting google-auth-oauthlib==1.2.2 (from -r requirements3.txt (line 15))
  Downloading google_auth_oauthlib-1.2.2-py3-none-any.whl.metadata (2.7 kB)
Collecting google-pasta==0.2.0 (from -r requirements3.txt (line 16))
  Downloading google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)
Collecting grpcio==1.76.0 (from -r requirements3.txt (line 17))
  Downloading grpcio-1.76.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (3.7 kB)
Collecting hf_xet==1.4.3 (from -r requirements3.txt (line 18))
  Downloading hf_xet-1.4.3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (4.9 kB)
Collecting huggingface_hub==1.5.0 (from -r requirements3.txt (line 19))
  Downloading huggingface_hub-1.5.0.tar.gz (695 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 695.9/695.9 kB 49.2 MB/s  0:00:00
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Collecting hydra-core==1.3.2 (from -r requirements3.txt (line 20))
  Downloading hydra_core-1.3.2-py3-none-any.whl.metadata (5.5 kB)
Collecting jsonargparse==4.46.0 (from -r requirements3.txt (line 21))
  Downloading jsonargparse-4.46.0.tar.gz (222 kB)
  Installing build dependencies: started
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Collecting jsonnet==0.21.0 (from -r requirements3.txt (line 22))
  Downloading jsonnet-0.21.0.tar.gz (461 kB)
  Installing build dependencies: started
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Collecting keras==3.13.2 (from -r requirements3.txt (line 23))
  Downloading keras-3.13.2-py3-none-any.whl.metadata (6.3 kB)
Collecting libclang==18.1.1 (from -r requirements3.txt (line 24))
  Downloading libclang-18.1.1-py2.py3-none-manylinux2010_x86_64.whl.metadata (5.2 kB)
Collecting lightning==2.6.1 (from -r requirements3.txt (line 25))
  Downloading lightning-2.6.1.tar.gz (663 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 663.2/663.2 kB 50.5 MB/s  0:00:00
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Collecting lightning-utilities==0.15.3 (from -r requirements3.txt (line 26))
  Downloading lightning_utilities-0.15.3.tar.gz (33 kB)
  Installing build dependencies: started
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Collecting lit==18.1.8 (from -r requirements3.txt (line 27))
  Downloading lit-18.1.8.tar.gz (161 kB)
  Installing build dependencies: started
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  Getting requirements to build wheel: started
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Collecting marshmallow==3.26.2 (from -r requirements3.txt (line 28))
  Downloading marshmallow-3.26.2.tar.gz (222 kB)
  Installing build dependencies: started
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Collecting mfai==6.3.0 (from -r requirements3.txt (line 29))
  Downloading mfai-6.3.0.tar.gz (733 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 733.1/733.1 kB 24.8 MB/s  0:00:00
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Collecting ml-dtypes==0.5.4 (from -r requirements3.txt (line 30))
  Downloading ml_dtypes-0.5.4.tar.gz (692 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 692.3/692.3 kB 53.5 MB/s  0:00:00
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Collecting monai==1.5.2 (from -r requirements3.txt (line 31))
  Downloading monai-1.5.2.tar.gz (1.7 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 13.9 MB/s  0:00:00
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Collecting mpmath==1.3.0 (from -r requirements3.txt (line 32))
  Using cached mpmath-1.3.0-py3-none-any.whl
Collecting namex==0.0.9 (from -r requirements3.txt (line 33))
  Downloading namex-0.0.9.tar.gz (6.6 kB)
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Collecting nvidia-cublas-cu12==12.8.4.1 (from -r requirements3.txt (line 34))
  Using cached nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-cupti-cu12==12.8.90 (from -r requirements3.txt (line 35))
  Using cached nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.8.93 (from -r requirements3.txt (line 36))
  Using cached nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cuda-runtime-cu12==12.8.90 (from -r requirements3.txt (line 37))
  Using cached nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cudnn-cu12==9.10.2.21 (from -r requirements3.txt (line 38))
  Using cached nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cufft-cu12==11.3.3.83 (from -r requirements3.txt (line 39))
  Using cached nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cufile-cu12==1.13.1.3 (from -r requirements3.txt (line 40))
  Using cached nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-curand-cu12==10.3.9.90 (from -r requirements3.txt (line 41))
  Using cached nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-cusolver-cu12==11.7.3.90 (from -r requirements3.txt (line 42))
  Using cached nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparse-cu12==12.5.8.93 (from -r requirements3.txt (line 43))
  Using cached nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-cusparselt-cu12==0.7.1 (from -r requirements3.txt (line 44))
  Using cached nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl.metadata (7.0 kB)
Collecting nvidia-nccl-cu12==2.27.5 (from -r requirements3.txt (line 45))
  Using cached nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.0 kB)
Collecting nvidia-nvjitlink-cu12==12.8.93 (from -r requirements3.txt (line 46))
  Using cached nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl.metadata (1.7 kB)
Collecting nvidia-nvshmem-cu12==3.4.5 (from -r requirements3.txt (line 47))
  Using cached nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (2.1 kB)
Collecting nvidia-nvtx-cu12==12.8.90 (from -r requirements3.txt (line 48))
  Using cached nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.8 kB)
Collecting oauthlib==3.2.2 (from -r requirements3.txt (line 49))
  Downloading oauthlib-3.2.2-py3-none-any.whl.metadata (7.5 kB)
Collecting omegaconf==2.3.0 (from -r requirements3.txt (line 50))
  Downloading omegaconf-2.3.0-py3-none-any.whl.metadata (3.9 kB)
Collecting onnx==1.21.0 (from -r requirements3.txt (line 51))
  Downloading onnx-1.21.0-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.5 kB)
Collecting onnxruntime==1.24.4 (from -r requirements3.txt (line 52))
  Downloading onnxruntime-1.24.4-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (5.2 kB)
Collecting onnxscript==0.2.5 (from -r requirements3.txt (line 53))
  Downloading onnxscript-0.2.5-py3-none-any.whl.metadata (15 kB)
Collecting opt-einsum==3.4.0 (from -r requirements3.txt (line 54))
  Downloading opt_einsum-3.4.0-py3-none-any.whl.metadata (6.3 kB)
Collecting optree==0.18.0 (from -r requirements3.txt (line 55))
  Downloading optree-0.18.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (34 kB)
Collecting pytorch-lightning==2.6.1 (from -r requirements3.txt (line 56))
  Downloading pytorch_lightning-2.6.1-py3-none-any.whl.metadata (21 kB)
Collecting requests-oauthlib==2.0.0 (from -r requirements3.txt (line 57))
  Downloading requests_oauthlib-2.0.0-py2.py3-none-any.whl.metadata (11 kB)
Collecting rsa==4.9 (from -r requirements3.txt (line 58))
  Downloading rsa-4.9-py3-none-any.whl.metadata (4.2 kB)
Collecting safetensors==0.6.2 (from -r requirements3.txt (line 59))
  Downloading safetensors-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
Collecting segmentation_models_pytorch==0.5.0 (from -r requirements3.txt (line 60))
  Downloading segmentation_models_pytorch-0.5.0.tar.gz (105 kB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting sentencepiece==0.2.1 (from -r requirements3.txt (line 61))
  Downloading sentencepiece-0.2.1.tar.gz (3.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 22.8 MB/s  0:00:00
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Collecting sympy==1.14.0 (from -r requirements3.txt (line 62))
  Using cached sympy-1.14.0-py3-none-any.whl
Collecting tabulate==0.9.0 (from -r requirements3.txt (line 63))
  Downloading tabulate-0.9.0.tar.gz (81 kB)
  Installing build dependencies: started
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  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting tensorboard==2.20.0 (from -r requirements3.txt (line 64))
  Downloading tensorboard-2.20.0-py3-none-any.whl.metadata (1.8 kB)
Collecting tensorboard-data-server==0.7.2 (from -r requirements3.txt (line 65))
  Downloading tensorboard_data_server-0.7.2-py3-none-any.whl.metadata (1.1 kB)
Collecting tensorboardx==2.6.5 (from -r requirements3.txt (line 66))
  Downloading tensorboardx-2.6.5.tar.gz (4.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.8/4.8 MB 11.1 MB/s  0:00:00
  Installing build dependencies: started
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  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
  Preparing metadata (pyproject.toml): started
  Preparing metadata (pyproject.toml): finished with status 'done'
Collecting tensorflow==2.20.0 (from -r requirements3.txt (line 67))
  Downloading tensorflow-2.20.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.5 kB)
Collecting tensorflow-hub==0.16.1 (from -r requirements3.txt (line 68))
  Downloading tensorflow_hub-0.16.1-py2.py3-none-any.whl.metadata (1.3 kB)
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Collecting tiktoken==0.12.0 (from -r requirements3.txt (line 70))
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Collecting timm==1.0.22 (from -r requirements3.txt (line 71))
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Collecting tokenizers==0.22.2 (from -r requirements3.txt (line 72))
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Collecting torch==2.10.0 (from -r requirements3.txt (line 73))
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Collecting torchmetrics==1.9.0 (from -r requirements3.txt (line 74))
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Collecting torchvision==0.25.0 (from -r requirements3.txt (line 75))
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Collecting torch-geometric==2.7.0 (from -r requirements3.txt (line 76))
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Collecting transformers==5.3.0 (from -r requirements3.txt (line 77))
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  Using cached triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.7 kB)
Collecting typeshed-client==2.8.2 (from -r requirements3.txt (line 79))
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Collecting wheel<1.0,>=0.23.0 (from astunparse==1.6.3->-r requirements3.txt (line 4))
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Collecting six<2.0,>=1.6.1 (from astunparse==1.6.3->-r requirements3.txt (line 4))
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Collecting numpy>=1.17 (from bitsandbytes==0.49.1->-r requirements3.txt (line 6))
  Downloading numpy-2.4.2.tar.gz (20.7 MB)
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Collecting packaging>=20.9 (from bitsandbytes==0.49.1->-r requirements3.txt (line 6))
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Collecting filelock (from torch==2.10.0->-r requirements3.txt (line 73))
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Collecting typing-extensions>=4.10.0 (from torch==2.10.0->-r requirements3.txt (line 73))
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Collecting setuptools (from torch==2.10.0->-r requirements3.txt (line 73))
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Collecting networkx>=2.5.1 (from torch==2.10.0->-r requirements3.txt (line 73))
  Downloading networkx-3.4.2.tar.gz (2.2 MB)
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Collecting jinja2 (from torch==2.10.0->-r requirements3.txt (line 73))
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Collecting fsspec>=0.8.5 (from torch==2.10.0->-r requirements3.txt (line 73))
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Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7->-r requirements3.txt (line 9))
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Collecting importlib_metadata (from diffusers==0.33.1->-r requirements3.txt (line 10))
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Collecting regex!=2019.12.17 (from diffusers==0.33.1->-r requirements3.txt (line 10))
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Collecting requests (from diffusers==0.33.1->-r requirements3.txt (line 10))
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Collecting Pillow (from diffusers==0.33.1->-r requirements3.txt (line 10))
  Downloading pillow-12.2.0.tar.gz (47.0 MB)
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Collecting attrs>=18.2.0 (from dm-tree==0.1.9->-r requirements3.txt (line 11))
  Downloading attrs-25.1.0.tar.gz (810 kB)
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Collecting wrapt>=1.11.2 (from dm-tree==0.1.9->-r requirements3.txt (line 11))
  Downloading wrapt-2.1.1.tar.gz (81 kB)
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Collecting cachetools<7.0,>=2.0.0 (from google-auth==2.41.1->-r requirements3.txt (line 14))
  Downloading cachetools-6.1.0.tar.gz (30 kB)
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Collecting pyasn1-modules>=0.2.1 (from google-auth==2.41.1->-r requirements3.txt (line 14))
  Downloading pyasn1_modules-0.4.1.tar.gz (310 kB)
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Collecting pyasn1>=0.1.3 (from rsa==4.9->-r requirements3.txt (line 58))
  Downloading pyasn1-0.6.3.tar.gz (148 kB)
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Collecting httpx<1,>=0.23.0 (from huggingface_hub==1.5.0->-r requirements3.txt (line 19))
  Downloading httpx-0.28.1.tar.gz (141 kB)
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Collecting pyyaml>=5.1 (from huggingface_hub==1.5.0->-r requirements3.txt (line 19))
  Downloading pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.4 kB)
Collecting tqdm>=4.42.1 (from huggingface_hub==1.5.0->-r requirements3.txt (line 19))
  Downloading tqdm-4.67.1.tar.gz (169 kB)
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Collecting typer (from huggingface_hub==1.5.0->-r requirements3.txt (line 19))
  Downloading typer-0.16.0.tar.gz (102 kB)
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Collecting rich (from keras==3.13.2->-r requirements3.txt (line 23))
  Downloading rich-14.2.0-py3-none-any.whl.metadata (18 kB)
Collecting h5py (from keras==3.13.2->-r requirements3.txt (line 23))
  Downloading h5py-3.13.0.tar.gz (414 kB)
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Collecting pandas>=2.2.3 (from mfai==6.3.0->-r requirements3.txt (line 29))
  Downloading pandas-2.3.3.tar.gz (4.5 MB)
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Collecting scipy>=1.14.1 (from mfai==6.3.0->-r requirements3.txt (line 29))
  Downloading scipy-1.17.0.tar.gz (30.4 MB)
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Collecting protobuf>=4.25.1 (from onnx==1.21.0->-r requirements3.txt (line 51))
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Collecting markdown>=2.6.8 (from tensorboard==2.20.0->-r requirements3.txt (line 64))
  Downloading markdown-3.10.2.tar.gz (368 kB)
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Collecting werkzeug>=1.0.1 (from tensorboard==2.20.0->-r requirements3.txt (line 64))
  Downloading werkzeug-3.1.6.tar.gz (864 kB)
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Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 (from tensorflow==2.20.0->-r requirements3.txt (line 67))
  Using cached gast-0.6.0-py3-none-any.whl
Collecting termcolor>=1.1.0 (from tensorflow==2.20.0->-r requirements3.txt (line 67))
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Collecting aiohttp (from torch-geometric==2.7.0->-r requirements3.txt (line 76))
  Downloading aiohttp-3.13.5.tar.gz (7.9 MB)
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Collecting psutil>=5.8.0 (from torch-geometric==2.7.0->-r requirements3.txt (line 76))
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Collecting pyparsing (from torch-geometric==2.7.0->-r requirements3.txt (line 76))
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Collecting xxhash (from torch-geometric==2.7.0->-r requirements3.txt (line 76))
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Collecting importlib_resources>=1.4.0 (from typeshed-client==2.8.2->-r requirements3.txt (line 79))
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Collecting anyio (from httpx<1,>=0.23.0->huggingface_hub==1.5.0->-r requirements3.txt (line 19))
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Collecting certifi (from httpx<1,>=0.23.0->huggingface_hub==1.5.0->-r requirements3.txt (line 19))
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Collecting httpcore==1.* (from httpx<1,>=0.23.0->huggingface_hub==1.5.0->-r requirements3.txt (line 19))
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Downloading rich-14.2.0-py3-none-any.whl (243 kB)
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Building wheels for collected packages: annotated-doc, antlr4_python3_runtime, axial_attention, marshmallow, diffusers, dm-tree, einops, huggingface_hub, jsonargparse, jsonnet, lightning, lightning-utilities, torchmetrics, lit, mfai, monai, ml-dtypes, namex, segmentation_models_pytorch, sentencepiece, tabulate, tensorboardx, tf-keras, tiktoken, timm, tokenizers, torch-geometric, transformers, typeshed-client, cachetools, fsspec, httpx, httpcore, numpy, packaging, requests, charset_normalizer, idna, six, tqdm, typing-inspect, urllib3, wheel, aiohttp, multidict, yarl, aiosignal, attrs, certifi, filelock, frozenlist, h11, h5py, importlib_resources, markdown, mypy_extensions, networkx, pandas, Pillow, propcache, psutil, pyasn1, pyasn1-modules, python-dateutil, pytz, regex, scipy, setuptools, termcolor, tzdata, werkzeug, markupsafe, wrapt, anyio, sniffio, importlib_metadata, zipp, matplotlib, pygments, contourpy, cycler, docstring-parser, fonttools, kiwisolver, markdown-it-py, mdurl, pyparsing, typer, click, shellingham, xxhash
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Successfully built annotated-doc antlr4_python3_runtime axial_attention marshmallow diffusers dm-tree einops huggingface_hub jsonargparse jsonnet lightning lightning-utilities torchmetrics lit mfai monai ml-dtypes namex segmentation_models_pytorch sentencepiece tabulate tensorboardx tf-keras tiktoken timm tokenizers torch-geometric transformers typeshed-client cachetools fsspec httpx httpcore numpy packaging requests charset_normalizer idna six tqdm typing-inspect urllib3 wheel aiohttp multidict yarl aiosignal attrs certifi filelock frozenlist h11 h5py importlib_resources markdown mypy_extensions networkx pandas Pillow propcache psutil pyasn1 pyasn1-modules python-dateutil pytz regex scipy setuptools termcolor tzdata werkzeug markupsafe wrapt anyio sniffio importlib_metadata zipp matplotlib pygments contourpy cycler docstring-parser fonttools kiwisolver markdown-it-py mdurl pyparsing typer click shellingham xxhash
if test -d ../../download_archive; then cp -Rf src/* ../../download_archive/ 2>/dev/null; fi
mkdir -p /opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages
for REQ in requirements3.txt; do if test -s ${REQ}; then install_requirements /opt/metwork-mfext-master/opt/python3_ia ${REQ} ./src || { echo "ERROR WITH install_requirements ${REQ} /opt/metwork-mfext-master/opt/python3_ia ${REQ} ./src"; exit 1; }; fi; done
[DEBUG]: layer python3_ia@mfext[/opt/metwork-mfext-master/opt/python3_ia] is already loaded
Looking in links: ./src
Processing ./src/absl_py-2.2.2-py3-none-any.whl (from -r requirements3.txt.tmp (line 1))
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Installing collected packages: nvidia-cusparselt-cu12, namex, mpmath, lit, libclang, jsonnet, flatbuffers, antlr4_python3_runtime, typeshed-client, triton, tensorboardx, tensorboard-data-server, tabulate, sympy, sentencepiece, safetensors, rsa, optree, opt-einsum, omegaconf, oauthlib, nvidia-nvtx-cu12, nvidia-nvshmem-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, ml-dtypes, marshmallow, lightning-utilities, jsonargparse, hf_xet, grpcio, google-pasta, einops, cuda-pathfinder, annotated-doc, absl-py, tiktoken, tensorboard, requests-oauthlib, onnxruntime, onnx, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, hydra-core, google-auth, dm-tree, dataclasses_json, cuda-bindings, astunparse, torch-geometric, onnxscript, nvidia-cusolver-cu12, keras, google-auth-oauthlib, torch, tensorflow, huggingface_hub, torchvision, torchmetrics, tokenizers, tf-keras, monai, diffusers, bitsandbytes, axial_attention, transformers, timm, tensorflow-hub, pytorch-lightning, segmentation_models_pytorch, lightning, mfai

Successfully installed absl-py-2.2.2 annotated-doc-0.0.4 antlr4_python3_runtime-4.9.3 astunparse-1.6.3 axial_attention-0.6.1 bitsandbytes-0.49.1 cuda-bindings-12.9.4 cuda-pathfinder-1.1.0 dataclasses_json-0.6.7 diffusers-0.33.1 dm-tree-0.1.9 einops-0.8.1 flatbuffers-25.2.10 google-auth-2.41.1 google-auth-oauthlib-1.2.2 google-pasta-0.2.0 grpcio-1.76.0 hf_xet-1.4.3 huggingface_hub-1.5.0 hydra-core-1.3.2 jsonargparse-4.46.0 jsonnet-0.21.0 keras-3.13.2 libclang-18.1.1 lightning-2.6.1 lightning-utilities-0.15.3 lit-18.1.8 marshmallow-3.26.2 mfai-6.3.0 ml-dtypes-0.5.4 monai-1.5.2 mpmath-1.3.0 namex-0.0.9 nvidia-cublas-cu12-12.8.4.1 nvidia-cuda-cupti-cu12-12.8.90 nvidia-cuda-nvrtc-cu12-12.8.93 nvidia-cuda-runtime-cu12-12.8.90 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.3.83 nvidia-cufile-cu12-1.13.1.3 nvidia-curand-cu12-10.3.9.90 nvidia-cusolver-cu12-11.7.3.90 nvidia-cusparse-cu12-12.5.8.93 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.5 nvidia-nvjitlink-cu12-12.8.93 nvidia-nvshmem-cu12-3.4.5 nvidia-nvtx-cu12-12.8.90 oauthlib-3.2.2 omegaconf-2.3.0 onnx-1.21.0 onnxruntime-1.24.4 onnxscript-0.2.5 opt-einsum-3.4.0 optree-0.18.0 pytorch-lightning-2.6.1 requests-oauthlib-2.0.0 rsa-4.9 safetensors-0.6.2 segmentation_models_pytorch-0.5.0 sentencepiece-0.2.1 sympy-1.14.0 tabulate-0.9.0 tensorboard-2.20.0 tensorboard-data-server-0.7.2 tensorboardx-2.6.5 tensorflow-2.20.0 tensorflow-hub-0.16.1 tf-keras-2.20.1 tiktoken-0.12.0 timm-1.0.22 tokenizers-0.22.2 torch-2.10.0 torch-geometric-2.7.0 torchmetrics-1.9.0 torchvision-0.25.0 transformers-5.3.0 triton-3.6.0 typeshed-client-2.8.2
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
if ! test -d /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages; then mkdir -p /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages; fi
if test -f /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt; then cat /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt requirements3.txt |sort |uniq |sed 's/^-e git.*egg=\(.*\)$/\1/g' >/opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt.tmp; mv /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt.tmp /opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt; else cat requirements3.txt |sort |uniq |sed 's/^-e git.*egg=\(.*\)$/\1/g' >/opt/metwork-mfext-master/opt/python3_ia/lib/python3.13/site-packages/requirements3.txt ;fi
IFS=$'\n' ; for REQ in `cat requirements3.txt |sort |uniq| grep -v "\["`; do _pip_package_to_yaml.sh "${REQ}" "/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages" || { echo "ERROR WITH _pip_package_to_yaml.sh ${REQ} /opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages"; exit 1; } done
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/absl-py.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/annotated-doc.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/antlr4-python3-runtime.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/astunparse.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/axial_attention.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/bitsandbytes.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/cuda-bindings.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/cuda-pathfinder.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/dataclasses-json.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/diffusers.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/dm-tree.yaml is ready
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/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/flatbuffers.yaml is ready
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/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/marshmallow.yaml is ready
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/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tensorboard.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tensorboardX.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tensorflow-hub.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tensorflow.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tf_keras.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tiktoken.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/timm.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/tokenizers.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/torch-geometric.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/torch.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/torchmetrics.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/torchvision.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/transformers.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/triton.yaml is ready
/opt/metwork-mfext-master/opt/python3_ia/share/metwork_packages/typeshed_client.yaml is ready
make[3]: Leaving directory '/src/layers/layer5_python3_ia/0500_extra_packages'
if test "1" = "1"; then echo python3_ia > /opt/metwork-mfext-master/opt/python3_ia/.mfextaddon; fi
_layer_dhash "python3_ia@mfext" >/opt/metwork-mfext-master/opt/python3_ia/.dhash
if ! test -f cache/hit; then \
	_check_layers_hash >/dev/null ; \
fi
_cache_logic_after_layer.sh "/opt/metwork-mfext-master/opt/python3_ia"
cache: /buildcache/mfext_cache_layer_python3_ia_adc78f079b796a5912911902ad49abd7.tar created
make[2]: Leaving directory '/src/layers/layer5_python3_ia'
make[1]: Leaving directory '/src/layers'
if test "1" != "1"; then _layer_dhash root@mfext >/opt/metwork-mfext-master/.dhash; fi
layer_wrapper --layers=python3_devtools@mfext -- _yaml_to_md.py ALL >.metwork-framework/components.md