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Solving dependencies |
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Installing conda packages |
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Empty environment created at prefix: /scratch/yuqian_fu/micromamba/envs/auto-uvqtxnlanqi3 |
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error libmamba Could not lock non-existing path '/scratch/yuqian_fu/micromamba/pkgs' |
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Transaction |
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Prefix: /scratch/yuqian_fu/micromamba/envs/auto-uvqtxnlanqi3 |
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No specs added or removed. |
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Package Version Build Channel Size |
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Install: |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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+ _libgcc_mutex 0.1 conda_forge conda-forge |
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+ _openmp_mutex 4.5 2_kmp_llvm conda-forge |
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+ blas 2.116 mkl conda-forge |
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+ blas-devel 3.9.0 16_linux64_mkl conda-forge |
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+ brotli-python 1.1.0 py311hb755f60_1 conda-forge |
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+ bzip2 1.0.8 h4bc722e_7 conda-forge |
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|
+ ca-certificates 2024.7.4 hbcca054_0 conda-forge |
|
|
+ certifi 2024.7.4 pyhd8ed1ab_0 conda-forge |
|
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+ cffi 1.16.0 py311hb3a22ac_0 conda-forge |
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+ charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge |
|
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+ click 8.1.7 unix_pyh707e725_0 conda-forge |
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+ cuda-cudart 12.1.105 0 nvidia |
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+ cuda-cupti 12.1.105 0 /work/conda/cache/nvidia |
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+ cuda-libraries 12.1.0 0 nvidia |
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+ cuda-nvrtc 12.1.105 0 /work/conda/cache/nvidia |
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+ cuda-nvtx 12.1.105 0 nvidia |
|
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+ cuda-opencl 12.5.39 0 nvidia |
|
|
+ cuda-runtime 12.1.0 0 nvidia |
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+ cuda-version 12.5 3 nvidia |
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|
+ ffmpeg 4.3 hf484d3e_0 /work/conda/cache/pytorch |
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+ filelock 3.15.4 pyhd8ed1ab_0 conda-forge |
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|
+ freetype 2.12.1 h267a509_2 conda-forge |
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|
+ gmp 6.3.0 hac33072_2 conda-forge |
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+ gmpy2 2.1.5 py311hc4f1f91_1 conda-forge |
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+ gnutls 3.6.13 h85f3911_1 /work/conda/cache/conda-forge |
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|
+ h2 4.1.0 pyhd8ed1ab_0 conda-forge |
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+ hpack 4.0.0 pyh9f0ad1d_0 conda-forge |
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+ hyperframe 6.0.1 pyhd8ed1ab_0 conda-forge |
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+ icu 73.2 h59595ed_0 /work/conda/cache/conda-forge |
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+ idna 3.7 pyhd8ed1ab_0 conda-forge |
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+ jinja2 3.1.4 pyhd8ed1ab_0 conda-forge |
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+ jpeg 9e h166bdaf_2 conda-forge |
|
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+ lame 3.100 h166bdaf_1003 conda-forge |
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+ lcms2 2.15 hfd0df8a_0 conda-forge |
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+ ld_impl_linux-64 2.40 hf3520f5_7 conda-forge |
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+ lerc 4.0.0 h27087fc_0 conda-forge |
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+ libblas 3.9.0 16_linux64_mkl conda-forge |
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+ libcblas 3.9.0 16_linux64_mkl conda-forge |
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+ libcublas 12.1.0.26 0 /work/conda/cache/nvidia |
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+ libcufft 11.0.2.4 0 /work/conda/cache/nvidia |
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+ libcufile 1.10.1.7 0 nvidia |
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+ libcurand 10.3.6.82 0 nvidia |
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+ libcusolver 11.4.4.55 0 /work/conda/cache/nvidia |
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+ libcusparse 12.0.2.55 0 /work/conda/cache/nvidia |
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+ libdeflate 1.17 h0b41bf4_0 conda-forge |
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+ libexpat 2.6.2 h59595ed_0 conda-forge |
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+ libffi 3.4.2 h7f98852_5 conda-forge |
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+ libgcc-ng 14.1.0 h77fa898_0 conda-forge |
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+ libgfortran-ng 14.1.0 h69a702a_0 conda-forge |
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+ libgfortran5 14.1.0 hc5f4f2c_0 /work/conda/cache/conda-forge |
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+ libhwloc 2.11.1 default_hecaa2ac_1000 conda-forge |
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+ libiconv 1.17 hd590300_2 conda-forge |
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+ libjpeg-turbo 2.0.0 h9bf148f_0 pytorch |
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+ liblapack 3.9.0 16_linux64_mkl conda-forge |
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+ liblapacke 3.9.0 16_linux64_mkl conda-forge |
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+ libnpp 12.0.2.50 0 /work/conda/cache/nvidia |
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+ libnsl 2.0.1 hd590300_0 conda-forge |
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+ libnvjitlink 12.1.105 0 /work/conda/cache/nvidia |
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+ libnvjpeg 12.1.1.14 0 /work/conda/cache/nvidia |
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+ libpng 1.6.43 h2797004_0 conda-forge |
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+ libsqlite 3.46.0 hde9e2c9_0 conda-forge |
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+ libstdcxx-ng 14.1.0 hc0a3c3a_0 /work/conda/cache/conda-forge |
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+ libtiff 4.5.0 h6adf6a1_2 conda-forge |
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+ libuuid 2.38.1 h0b41bf4_0 conda-forge |
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+ libwebp-base 1.4.0 hd590300_0 conda-forge |
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+ libxcb 1.13 h7f98852_1004 conda-forge |
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+ libxcrypt 4.4.36 hd590300_1 conda-forge |
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+ libxml2 2.12.7 hc051c1a_1 conda-forge |
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+ libzlib 1.2.13 h4ab18f5_6 conda-forge |
|
|
+ llvm-openmp 15.0.7 h0cdce71_0 /work/conda/cache/conda-forge |
|
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+ markupsafe 2.1.5 py311h459d7ec_0 conda-forge |
|
|
+ mkl 2022.1.0 h84fe81f_915 /work/conda/cache/conda-forge |
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|
+ mkl-devel 2022.1.0 ha770c72_916 conda-forge |
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|
+ mkl-include 2022.1.0 h84fe81f_915 conda-forge |
|
|
+ mpc 1.3.1 hfe3b2da_0 conda-forge |
|
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+ mpfr 4.2.1 h9458935_1 conda-forge |
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|
+ mpmath 1.3.0 pyhd8ed1ab_0 conda-forge |
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|
+ ncurses 6.5 h59595ed_0 conda-forge |
|
|
+ nettle 3.6 he412f7d_0 /work/conda/cache/conda-forge |
|
|
+ networkx 3.3 pyhd8ed1ab_1 /work/conda/cache/conda-forge |
|
|
+ numpy 2.0.0 py311h1461c94_0 conda-forge |
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+ openh264 2.1.1 h780b84a_0 /work/conda/cache/conda-forge |
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+ openjpeg 2.5.0 hfec8fc6_2 conda-forge |
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|
+ openssl 3.3.1 h4bc722e_2 conda-forge |
|
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+ pandas 2.2.2 py311h14de704_1 conda-forge |
|
|
+ pillow 9.4.0 py311h50def17_1 /work/conda/cache/conda-forge |
|
|
+ pip 24.0 pyhd8ed1ab_0 /work/conda/cache/conda-forge |
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+ pthread-stubs 0.4 h36c2ea0_1001 conda-forge |
|
|
+ pycparser 2.22 pyhd8ed1ab_0 conda-forge |
|
|
+ pysocks 1.7.1 pyha2e5f31_6 conda-forge |
|
|
+ python 3.11.9 hb806964_0_cpython /work/conda/cache/conda-forge |
|
|
+ python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge |
|
|
+ python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge |
|
|
+ python_abi 3.11 4_cp311 conda-forge |
|
|
+ pytorch 2.3.1 py3.11_cuda12.1_cudnn8.9.2_0 /work/conda/cache/pytorch |
|
|
+ pytorch-cuda 12.1 ha16c6d3_5 pytorch |
|
|
+ pytorch-mutex 1.0 cuda pytorch |
|
|
+ pytz 2024.1 pyhd8ed1ab_0 conda-forge |
|
|
+ pyyaml 6.0.1 py311h459d7ec_1 conda-forge |
|
|
+ readline 8.2 h8228510_1 conda-forge |
|
|
+ requests 2.32.3 pyhd8ed1ab_0 conda-forge |
|
|
+ setuptools 71.0.1 pyhd8ed1ab_0 conda-forge |
|
|
+ six 1.16.0 pyh6c4a22f_0 conda-forge |
|
|
+ sympy 1.13.0 pypyh2585a3b_103 conda-forge |
|
|
+ tbb 2021.12.0 h434a139_3 conda-forge |
|
|
+ tk 8.6.13 noxft_h4845f30_101 /work/conda/cache/conda-forge |
|
|
+ torchtriton 2.3.1 py311 /work/conda/cache/pytorch |
|
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+ torchvision 0.18.1 py311_cu121 /work/conda/cache/pytorch |
|
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+ typing_extensions 4.12.2 pyha770c72_0 conda-forge |
|
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+ tzdata 2024a h0c530f3_0 conda-forge |
|
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+ urllib3 2.2.2 pyhd8ed1ab_1 conda-forge |
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+ wheel 0.43.0 pyhd8ed1ab_1 conda-forge |
|
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+ xorg-libxau 1.0.11 hd590300_0 conda-forge |
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+ xorg-libxdmcp 1.1.3 h516909a_0 conda-forge |
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+ xz 5.2.6 h166bdaf_0 conda-forge |
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+ yaml 0.2.5 h7f98852_2 conda-forge |
|
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+ zlib 1.2.13 h4ab18f5_6 conda-forge |
|
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+ zstandard 0.23.0 py311h5cd10c7_0 conda-forge |
|
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+ zstd 1.5.6 ha6fb4c9_0 conda-forge |
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Summary: |
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Install: 119 packages |
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Total download: 0 B |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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Transaction starting |
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Linking libcublas-12.1.0.26-0 |
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Linking libcufft-11.0.2.4-0 |
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Linking libcusolver-11.4.4.55-0 |
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Linking libcusparse-12.0.2.55-0 |
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Linking libnpp-12.0.2.50-0 |
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Linking libnvjitlink-12.1.105-0 |
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Linking cuda-cudart-12.1.105-0 |
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Linking cuda-nvrtc-12.1.105-0 |
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Linking libnvjpeg-12.1.1.14-0 |
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Linking cuda-cupti-12.1.105-0 |
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Linking cuda-nvtx-12.1.105-0 |
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Linking pytorch-mutex-1.0-cuda |
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Linking _libgcc_mutex-0.1-conda_forge |
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Linking mkl-include-2022.1.0-h84fe81f_915 |
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Linking python_abi-3.11-4_cp311 |
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Linking ld_impl_linux-64-2.40-hf3520f5_7 |
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Linking ca-certificates-2024.7.4-hbcca054_0 |
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Linking libgcc-ng-14.1.0-h77fa898_0 |
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Linking libzlib-1.2.13-h4ab18f5_6 |
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Linking llvm-openmp-15.0.7-h0cdce71_0 |
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Linking _openmp_mutex-4.5-2_kmp_llvm |
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Linking xorg-libxdmcp-1.1.3-h516909a_0 |
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Linking pthread-stubs-0.4-h36c2ea0_1001 |
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Linking xorg-libxau-1.0.11-hd590300_0 |
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Linking libwebp-base-1.4.0-hd590300_0 |
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Linking libdeflate-1.17-h0b41bf4_0 |
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Linking jpeg-9e-h166bdaf_2 |
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Linking libffi-3.4.2-h7f98852_5 |
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Linking tk-8.6.13-noxft_h4845f30_101 |
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Linking openssl-3.3.1-h4bc722e_2 |
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Linking libxcrypt-4.4.36-hd590300_1 |
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Linking libsqlite-3.46.0-hde9e2c9_0 |
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Linking yaml-0.2.5-h7f98852_2 |
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Linking ncurses-6.5-h59595ed_0 |
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Linking libgfortran5-14.1.0-hc5f4f2c_0 |
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Linking lame-3.100-h166bdaf_1003 |
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Linking nettle-3.6-he412f7d_0 |
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Linking zlib-1.2.13-h4ab18f5_6 |
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Linking libstdcxx-ng-14.1.0-hc0a3c3a_0 |
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Linking libiconv-1.17-hd590300_2 |
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Linking bzip2-1.0.8-h4bc722e_7 |
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Linking libpng-1.6.43-h2797004_0 |
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Linking xz-5.2.6-h166bdaf_0 |
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Linking libuuid-2.38.1-h0b41bf4_0 |
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Linking libnsl-2.0.1-hd590300_0 |
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Linking libexpat-2.6.2-h59595ed_0 |
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Linking libxcb-1.13-h7f98852_1004 |
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Linking readline-8.2-h8228510_1 |
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Linking libgfortran-ng-14.1.0-h69a702a_0 |
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Linking icu-73.2-h59595ed_0 |
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Linking zstd-1.5.6-ha6fb4c9_0 |
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Linking lerc-4.0.0-h27087fc_0 |
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Linking openh264-2.1.1-h780b84a_0 |
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Linking gnutls-3.6.13-h85f3911_1 |
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Linking gmp-6.3.0-hac33072_2 |
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Linking freetype-2.12.1-h267a509_2 |
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Linking libxml2-2.12.7-hc051c1a_1 |
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Linking libtiff-4.5.0-h6adf6a1_2 |
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Linking mpfr-4.2.1-h9458935_1 |
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Linking libhwloc-2.11.1-default_hecaa2ac_1000 |
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Linking openjpeg-2.5.0-hfec8fc6_2 |
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Linking lcms2-2.15-hfd0df8a_0 |
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Linking mpc-1.3.1-hfe3b2da_0 |
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Linking tbb-2021.12.0-h434a139_3 |
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Linking mkl-2022.1.0-h84fe81f_915 |
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Linking mkl-devel-2022.1.0-ha770c72_916 |
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Linking libblas-3.9.0-16_linux64_mkl |
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Linking liblapack-3.9.0-16_linux64_mkl |
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Linking libcblas-3.9.0-16_linux64_mkl |
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Linking liblapacke-3.9.0-16_linux64_mkl |
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Linking blas-devel-3.9.0-16_linux64_mkl |
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Linking blas-2.116-mkl |
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Linking cuda-version-12.5-3 |
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Linking tzdata-2024a-h0c530f3_0 |
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Linking libjpeg-turbo-2.0.0-h9bf148f_0 |
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warning libmamba [libjpeg-turbo-2.0.0-h9bf148f_0] The following files were already present in the environment: |
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- bin/cjpeg |
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- bin/djpeg |
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- bin/jpegtran |
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- bin/rdjpgcom |
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- bin/wrjpgcom |
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- include/jconfig.h |
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- include/jerror.h |
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- include/jmorecfg.h |
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- include/jpeglib.h |
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- lib/libjpeg.a |
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- lib/libjpeg.so |
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- lib/pkgconfig/libjpeg.pc |
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- share/man/man1/cjpeg.1 |
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- share/man/man1/djpeg.1 |
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- share/man/man1/jpegtran.1 |
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- share/man/man1/rdjpgcom.1 |
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- share/man/man1/wrjpgcom.1 |
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Linking ffmpeg-4.3-hf484d3e_0 |
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Linking libcurand-10.3.6.82-0 |
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Linking libcufile-1.10.1.7-0 |
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Linking cuda-opencl-12.5.39-0 |
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Linking cuda-libraries-12.1.0-0 |
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Linking cuda-runtime-12.1.0-0 |
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Linking python-3.11.9-hb806964_0_cpython |
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Linking pytorch-cuda-12.1-ha16c6d3_5 |
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Linking wheel-0.43.0-pyhd8ed1ab_1 |
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Linking setuptools-71.0.1-pyhd8ed1ab_0 |
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Linking pip-24.0-pyhd8ed1ab_0 |
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Linking pycparser-2.22-pyhd8ed1ab_0 |
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Linking six-1.16.0-pyh6c4a22f_0 |
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Linking hyperframe-6.0.1-pyhd8ed1ab_0 |
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Linking pytz-2024.1-pyhd8ed1ab_0 |
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Linking python-tzdata-2024.1-pyhd8ed1ab_0 |
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Linking charset-normalizer-3.3.2-pyhd8ed1ab_0 |
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Linking hpack-4.0.0-pyh9f0ad1d_0 |
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Linking pysocks-1.7.1-pyha2e5f31_6 |
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Linking idna-3.7-pyhd8ed1ab_0 |
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Linking certifi-2024.7.4-pyhd8ed1ab_0 |
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Linking mpmath-1.3.0-pyhd8ed1ab_0 |
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Linking typing_extensions-4.12.2-pyha770c72_0 |
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Linking networkx-3.3-pyhd8ed1ab_1 |
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Linking filelock-3.15.4-pyhd8ed1ab_0 |
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Linking click-8.1.7-unix_pyh707e725_0 |
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Linking python-dateutil-2.9.0-pyhd8ed1ab_0 |
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Linking h2-4.1.0-pyhd8ed1ab_0 |
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Linking brotli-python-1.1.0-py311hb755f60_1 |
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Linking markupsafe-2.1.5-py311h459d7ec_0 |
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Linking gmpy2-2.1.5-py311hc4f1f91_1 |
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Linking pyyaml-6.0.1-py311h459d7ec_1 |
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Linking pillow-9.4.0-py311h50def17_1 |
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Linking numpy-2.0.0-py311h1461c94_0 |
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Linking cffi-1.16.0-py311hb3a22ac_0 |
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Linking pandas-2.2.2-py311h14de704_1 |
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Linking zstandard-0.23.0-py311h5cd10c7_0 |
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Linking jinja2-3.1.4-pyhd8ed1ab_0 |
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Linking sympy-1.13.0-pypyh2585a3b_103 |
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Linking urllib3-2.2.2-pyhd8ed1ab_1 |
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Linking requests-2.32.3-pyhd8ed1ab_0 |
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Linking pytorch-2.3.1-py3.11_cuda12.1_cudnn8.9.2_0 |
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Linking torchtriton-2.3.1-py311 |
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Linking torchvision-0.18.1-py311_cu121 |
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Transaction finished |
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To activate this environment, use: |
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mamba activate auto-uvqtxnlanqi3 |
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Or to execute a single command in this environment, use: |
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mamba run -n auto-uvqtxnlanqi3 mycommand |
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Installing pip packages |
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WARNING: The candidate selected for download or install is a yanked version: 'opencv-python' candidate (version 4.5.5.62 at https: |
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Reason for being yanked: deprecated, use 4.5.5.64 |
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run_my_joint_test.sh: line 33: randn}_str3_WithStyleAttackExp1_onlyblock2: command not found |
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slurmstepd: error: *** STEP 66539.0 ON gcp-us-1 CANCELLED AT 2024-07-21T15:44:21 DUE TO TIME LIMIT *** |
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slurmstepd: error: *** JOB 66539 ON gcp-us-1 CANCELLED AT 2024-07-21T15:44:21 DUE TO TIME LIMIT *** |
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srun: Job step aborted: Waiting up to 32 seconds for job step to finish. |
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