FROM mambaorg/micromamba:1.5.10-noble
ENV CONDA_OVERRIDE_CUDA=12
COPY --chown=$MAMBA_USER:$MAMBA_USER conda.yml /tmp/conda.yml
RUN micromamba install -y -n base -f /tmp/conda.yml \
&& micromamba install -y -n base conda-forge::procps-ng \
&& micromamba env export --name base --explicit > environment.lock \
&& echo ">> CONDA_LOCK_START" \
&& cat environment.lock \
&& echo "<< CONDA_LOCK_END" \
&& micromamba clean -a -y
USER root
ENV PATH="$MAMBA_ROOT_PREFIX/bin:$PATH"
#1 [internal] load build definition from Containerfile
#1 transferring dockerfile: 542B 0.0s done
#1 DONE 0.1s
#2 [internal] load metadata for docker.io/mambaorg/micromamba:1.5.10-noble
#2 DONE 1.1s
#3 [internal] load .dockerignore
#3 transferring context: 2B done
#3 DONE 0.0s
#4 [internal] load build context
#4 DONE 0.0s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 resolve docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca 0.0s done
#5 DONE 0.0s
#6 [auth] sharing credentials for 195996028523.dkr.ecr.eu-west-1.amazonaws.com
#6 DONE 0.0s
#7 importing cache manifest from 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:594b9b9db2065574
#7 ERROR: failed to configure registry cache importer: 195996028523.dkr.ecr.eu-west-1.amazonaws.com/wave/build/cache:594b9b9db2065574: not found
#4 [internal] load build context
#4 transferring context: 203B done
#4 DONE 0.1s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 DONE 0.2s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9 346B / 346B 0.1s done
#5 sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07 686B / 686B 0.2s done
#5 sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 0B / 648B 0.2s
#5 sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 0B / 217B 0.2s
#5 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0B / 32B 0.2s
#5 sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 648B / 648B 0.3s done
#5 sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 217B / 217B 0.3s done
#5 sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 32B / 32B 0.2s done
#5 sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578 4.08kB / 4.08kB 0.1s done
#5 sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764 284B / 284B 0.1s done
#5 sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9 524B / 524B 0.1s done
#5 sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18 126.56kB / 126.56kB 0.1s done
#5 sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 0B / 6.20MB 0.2s
#5 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 0B / 29.75MB 0.2s
#5 sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 6.20MB / 6.20MB 0.3s done
#5 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 14.68MB / 29.75MB 0.3s
#5 sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 29.75MB / 29.75MB 0.4s done
#5 extracting sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6
#5 extracting sha256:dafa2b0c44d2cfb0be6721f079092ddf15dc8bc537fb07fe7c3264c15cb2e8e6 0.9s done
#5 extracting sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18
#5 extracting sha256:dec6b097362e7c8d80e31302367f54d610b0e84d5c9cd5ccd300729608a54b18 0.3s done
#5 DONE 2.2s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733
#5 extracting sha256:f88da01cff0bc1129f1ae80576be8f3f715d1d3394d6ba35a93aa77f9a115733 0.4s done
#5 DONE 2.6s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.3s done
#5 DONE 2.9s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9
#5 extracting sha256:92dc97a3ef369828f8d35d2242b165660dada3e3496ceef9ccb9ac3290e82bf9 0.3s done
#5 DONE 3.2s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764
#5 extracting sha256:403f74b0f85e9834f9d27943e5e2d26d191e619160f5477ad99adc52a4122764 0.3s done
#5 DONE 3.5s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578
#5 extracting sha256:10b8c00c10a554f94856546f418480a7d9c8136644c0fb97c725046bd6fdb578 0.3s done
#5 DONE 3.8s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1 0.3s done
#5 DONE 4.0s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2
#5 extracting sha256:17dc7ea432cc5ad24408dee199f29d0cdad597274cb11bd37352261849c241b2 0.3s done
#5 DONE 4.3s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07
#5 extracting sha256:bb36d6c3110d8825cd64743566e94bb2a65c4c898a8a0cd05569cbcb5689af07 0.3s done
#5 extracting sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2
#5 extracting sha256:0ea1a16bbe82e9a9906f98df703f99bb84f50b7a973057784bce54a4275781b2 0.3s done
#5 DONE 4.9s
#5 [1/3] FROM docker.io/mambaorg/micromamba:1.5.10-noble@sha256:a0a4da2d5315f0d5b9d98196f2e9ecf50152c750bed4023bb127baade7e8faca
#5 extracting sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9
#5 extracting sha256:030a47592a0a4d4536afb78188ecab3ff9fa7ee5771b2f6a5ee0d8ed139729e9 0.3s done
#5 DONE 5.2s
#8 [2/3] COPY --chown=mambauser:mambauser conda.yml /tmp/conda.yml
#8 DONE 0.3s
#9 [3/3] RUN micromamba install -y -n base -f /tmp/conda.yml && micromamba install -y -n base conda-forge::procps-ng && micromamba env export --name base --explicit > environment.lock && echo ">> CONDA_LOCK_START" && cat environment.lock && echo "<< CONDA_LOCK_END" && micromamba clean -a -y
#9 149.9
#9 149.9 Transaction
#9 149.9
#9 149.9 Prefix: /opt/conda
#9 149.9
#9 149.9 Updating specs:
#9 149.9
#9 149.9 - pytorch
#9 149.9 - torchvision
#9 149.9 - torchaudio
#9 149.9 - pytorch-cuda=12.4
#9 149.9 - jaxlib==0.4.31[build=cuda12*]
#9 149.9 - scvi-tools=1.2.2
#9 149.9
#9 149.9
#9 149.9 Package Version Build Channel Size
#9 149.9 ─────────────────────────────────────────────────────────────────────────────────────────────────────────────
#9 149.9 Install:
#9 149.9 ─────────────────────────────────────────────────────────────────────────────────────────────────────────────
#9 149.9
#9 149.9 + pytorch-mutex 1.0 cuda pytorch 3kB
#9 149.9 + _libgcc_mutex 0.1 conda_forge conda-forge 3kB
#9 149.9 + python_abi 3.12 5_cp312 conda-forge 6kB
#9 149.9 + ld_impl_linux-64 2.43 h712a8e2_2 conda-forge 669kB
#9 149.9 + ca-certificates 2024.12.14 hbcca054_0 conda-forge 157kB
#9 149.9 + libglvnd 1.7.0 ha4b6fd6_2 conda-forge 132kB
#9 149.9 + libgomp 14.2.0 h77fa898_1 conda-forge 461kB
#9 149.9 + libzlib 1.3.1 hb9d3cd8_2 conda-forge 61kB
#9 149.9 + llvm-openmp 15.0.7 h0cdce71_0 conda-forge 3MB
#9 149.9 + _openmp_mutex 4.5 2_kmp_llvm conda-forge 6kB
#9 149.9 + libgcc 14.2.0 h77fa898_1 conda-forge 849kB
#9 149.9 + libegl 1.7.0 ha4b6fd6_2 conda-forge 45kB
#9 149.9 + xorg-libice 1.1.2 hb9d3cd8_0 conda-forge 59kB
#9 149.9 + libbrotlicommon 1.1.0 hb9d3cd8_2 conda-forge 69kB
#9 149.9 + c-ares 1.34.4 hb9d3cd8_0 conda-forge 206kB
#9 149.9 + xorg-libxau 1.0.12 hb9d3cd8_0 conda-forge 15kB
#9 149.9 + xorg-libxdmcp 1.1.5 hb9d3cd8_0 conda-forge 20kB
#9 149.9 + pthread-stubs 0.4 hb9d3cd8_1002 conda-forge 8kB
#9 149.9 + libdeflate 1.23 h4ddbbb0_0 conda-forge 72kB
#9 149.9 + libsqlite 3.47.2 hee588c1_0 conda-forge 874kB
#9 149.9 + libgfortran5 14.2.0 hd5240d6_1 conda-forge 1MB
#9 149.9 + openssl 3.4.0 h7b32b05_1 conda-forge 3MB
#9 149.9 + libwebp-base 1.5.0 h851e524_0 conda-forge 430kB
#9 149.9 + libpng 1.6.45 h943b412_0 conda-forge 289kB
#9 149.9 + libstdcxx 14.2.0 hc0a3c3a_1 conda-forge 4MB
#9 149.9 + libgcc-ng 14.2.0 h69a702a_1 conda-forge 54kB
#9 149.9 + liblzma 5.6.3 hb9d3cd8_1 conda-forge 111kB
#9 149.9 + libexpat 2.6.4 h5888daf_0 conda-forge 73kB
#9 149.9 + libbrotlienc 1.1.0 hb9d3cd8_2 conda-forge 282kB
#9 149.9 + libbrotlidec 1.1.0 hb9d3cd8_2 conda-forge 33kB
#9 149.9 + libxcb 1.17.0 h8a09558_0 conda-forge 396kB
#9 149.9 + libgfortran 14.2.0 h69a702a_1 conda-forge 54kB
#9 149.9 + libssh2 1.11.1 hf672d98_0 conda-forge 304kB
#9 149.9 + pixman 0.44.2 h29eaf8c_0 conda-forge 381kB
#9 149.9 + libsanitizer 12.4.0 h46f95d5_1 conda-forge 4MB
#9 149.9 + opencl-headers 2024.10.24 h5888daf_0 conda-forge 54kB
#9 149.9 + openh264 2.5.0 hf92e6e3_0 conda-forge 728kB
#9 149.9 + snappy 1.2.1 h8bd8927_1 conda-forge 43kB
#9 149.9 + lz4-c 1.10.0 h5888daf_1 conda-forge 167kB
#9 149.9 + libstdcxx-ng 14.2.0 h4852527_1 conda-forge 54kB
#9 149.9 + svt-av1 2.3.0 h5888daf_0 conda-forge 3MB
#9 149.9 + fribidi 1.0.10 h36c2ea0_0 conda-forge 114kB
#9 149.9 + libpciaccess 0.18 hd590300_0 conda-forge 28kB
#9 149.9 + x264 1!164.3095 h166bdaf_2 conda-forge 898kB
#9 149.9 + libopus 1.3.1 h7f98852_1 conda-forge 261kB
#9 149.9 + libiconv 1.17 hd590300_2 conda-forge 706kB
#9 149.9 + lame 3.100 h166bdaf_1003 conda-forge 508kB
#9 149.9 + libev 4.33 hd590300_2 conda-forge 113kB
#9 149.9 + freetype 2.12.1 h267a509_2 conda-forge 635kB
#9 149.9 + tk 8.6.13 noxft_h4845f30_101 conda-forge 3MB
#9 149.9 + libxcrypt 4.4.36 hd590300_1 conda-forge 100kB
#9 149.9 + libffi 3.4.2 h7f98852_5 conda-forge 58kB
#9 149.9 + yaml 0.2.5 h7f98852_2 conda-forge 89kB
#9 149.9 + ncurses 6.5 he02047a_1 conda-forge 889kB
#9 149.9 + rav1e 0.6.6 he8a937b_2 conda-forge 15MB
#9 149.9 + libjpeg-turbo 3.0.0 hd590300_1 conda-forge 619kB
#9 149.9 + keyutils 1.6.1 h166bdaf_0 conda-forge 118kB
#9 149.9 + dav1d 1.2.1 hd590300_0 conda-forge 760kB
#9 149.9 + bzip2 1.0.8 h4bc722e_7 conda-forge 253kB
#9 149.9 + libuuid 2.38.1 h0b41bf4_0 conda-forge 34kB
#9 149.9 + libnsl 2.0.1 hd590300_0 conda-forge 33kB
#9 149.9 + xz-tools 5.6.3 hb9d3cd8_1 conda-forge 90kB
#9 149.9 + xz-gpl-tools 5.6.3 hbcc6ac9_1 conda-forge 33kB
#9 149.9 + liblzma-devel 5.6.3 hb9d3cd8_1 conda-forge 377kB
#9 149.9 + brotli-bin 1.1.0 hb9d3cd8_2 conda-forge 19kB
#9 149.9 + xorg-libx11 1.8.10 h4f16b4b_1 conda-forge 838kB
#9 149.9 + ocl-icd 2.3.2 hb9d3cd8_2 conda-forge 95kB
#9 149.9 + libaec 1.1.3 h59595ed_0 conda-forge 35kB
#9 149.9 + graphite2 1.3.13 h59595ed_1003 conda-forge 97kB
#9 149.9 + icu 75.1 he02047a_0 conda-forge 12MB
#9 149.9 + x265 3.5 h924138e_3 conda-forge 3MB
#9 149.9 + gmp 6.3.0 hac33072_2 conda-forge 460kB
#9 149.9 + libllvm14 14.0.6 hcd5def8_4 conda-forge 31MB
#9 149.9 + qhull 2020.2 h434a139_5 conda-forge 553kB
#9 149.9 + lerc 4.0.0 h27087fc_0 conda-forge 282kB
#9 149.9 + pugixml 1.14 h59595ed_0 conda-forge 115kB
#9 149.9 + libvpx 1.14.1 hac33072_0 conda-forge 1MB
#9 149.9 + libabseil 20240116.2 cxx17_he02047a_1 conda-forge 1MB
#9 149.9 + zstd 1.5.6 ha6fb4c9_0 conda-forge 555kB
#9 149.9 + aom 3.9.1 hac33072_0 conda-forge 3MB
#9 149.9 + libdrm 2.4.124 hb9d3cd8_0 conda-forge 243kB
#9 149.9 + libnghttp2 1.64.0 h161d5f1_0 conda-forge 648kB
#9 149.9 + wayland 1.23.1 h3e06ad9_0 conda-forge 322kB
#9 149.9 + libedit 3.1.20240808 pl5321h7949ede_0 conda-forge 135kB
#9 149.9 + readline 8.2 h8228510_1 conda-forge 281kB
#9 149.9 + pcre2 10.44 hba22ea6_2 conda-forge 952kB
#9 149.9 + xorg-libsm 1.2.5 he73a12e_0 conda-forge 27kB
#9 149.9 + fontconfig 2.15.0 h7e30c49_1 conda-forge 266kB
#9 149.9 + xz 5.6.3 hbcc6ac9_1 conda-forge 23kB
#9 149.9 + brotli 1.1.0 hb9d3cd8_2 conda-forge 19kB
#9 149.9 + xorg-libxrender 0.9.12 hb9d3cd8_0 conda-forge 33kB
#9 149.9 + libglx 1.7.0 ha4b6fd6_2 conda-forge 76kB
#9 149.9 + xorg-libxfixes 6.0.1 hb9d3cd8_0 conda-forge 20kB
#9 149.9 + xorg-libxext 1.3.6 hb9d3cd8_0 conda-forge 50kB
#9 149.9 + libxml2 2.13.5 h8d12d68_1 conda-forge 691kB
#9 149.9 + mpfr 4.2.1 h90cbb55_3 conda-forge 635kB
#9 149.9 + libre2-11 2023.09.01 h5a48ba9_2 conda-forge 233kB
#9 149.9 + libprotobuf 4.25.3 hd5b35b9_1 conda-forge 3MB
#9 149.9 + libtiff 4.7.0 hd9ff511_3 conda-forge 428kB
#9 149.9 + blosc 1.21.6 he440d0b_1 conda-forge 48kB
#9 149.9 + libavif16 1.1.1 h1909e37_2 conda-forge 116kB
#9 149.9 + krb5 1.21.3 h659f571_0 conda-forge 1MB
#9 149.9 + libglib 2.82.2 h2ff4ddf_0 conda-forge 4MB
#9 149.9 + libgl 1.7.0 ha4b6fd6_2 conda-forge 135kB
#9 149.9 + libhwloc 2.11.2 default_h0d58e46_1001 conda-forge 2MB
#9 149.9 + mpc 1.3.1 h24ddda3_1 conda-forge 117kB
#9 149.9 + re2 2023.09.01 h7f4b329_2 conda-forge 27kB
#9 149.9 + openjpeg 2.5.3 h5fbd93e_0 conda-forge 343kB
#9 149.9 + lcms2 2.16 hb7c19ff_0 conda-forge 245kB
#9 149.9 + libcurl 8.11.1 h332b0f4_0 conda-forge 423kB
#9 149.9 + gdk-pixbuf 2.42.12 hb9ae30d_0 conda-forge 528kB
#9 149.9 + tbb 2021.13.0 hceb3a55_1 conda-forge 176kB
#9 149.9 + libgrpc 1.62.2 h15f2491_0 conda-forge 7MB
#9 149.9 + hdf5 1.14.4 nompi_h2d575fe_105 conda-forge 4MB
#9 149.9 + libopenvino 2024.4.0 hac27bb2_0 conda-forge 5MB
#9 149.9 + mkl 2022.2.1 h84fe81f_16997 conda-forge 165MB
#9 149.9 + libopenvino-auto-batch-plugin 2024.4.0 h4d9b6c2_0 conda-forge 111kB
#9 149.9 + libopenvino-auto-plugin 2024.4.0 h4d9b6c2_0 conda-forge 236kB
#9 149.9 + libopenvino-hetero-plugin 2024.4.0 h3f63f65_0 conda-forge 197kB
#9 149.9 + libopenvino-intel-cpu-plugin 2024.4.0 hac27bb2_0 conda-forge 12MB
#9 149.9 + libopenvino-intel-gpu-plugin 2024.4.0 hac27bb2_0 conda-forge 9MB
#9 149.9 + libopenvino-intel-npu-plugin 2024.4.0 hac27bb2_0 conda-forge 798kB
#9 149.9 + libopenvino-ir-frontend 2024.4.0 h3f63f65_0 conda-forge 203kB
#9 149.9 + libopenvino-pytorch-frontend 2024.4.0 h5888daf_0 conda-forge 1MB
#9 149.9 + libopenvino-tensorflow-lite-frontend 2024.4.0 h5888daf_0 conda-forge 466kB
#9 149.9 + libopenvino-tensorflow-frontend 2024.4.0 h358ae18_0 conda-forge 1MB
#9 149.9 + libopenvino-paddle-frontend 2024.4.0 h56242b0_0 conda-forge 656kB
#9 149.9 + libopenvino-onnx-frontend 2024.4.0 h56242b0_0 conda-forge 2MB
#9 149.9 + blas 1.0 mkl conda-forge 1kB
#9 149.9 + libblas 3.9.0 16_linux64_mkl conda-forge 13kB
#9 149.9 + libcblas 3.9.0 16_linux64_mkl conda-forge 13kB
#9 149.9 + liblapack 3.9.0 16_linux64_mkl conda-forge 13kB
#9 149.9 + pybind11-abi 4 hd8ed1ab_3 conda-forge 10kB
#9 149.9 + font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge 397kB
#9 149.9 + font-ttf-inconsolata 3.000 h77eed37_0 conda-forge 97kB
#9 149.9 + font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge 701kB
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#9 149.9 + cuda-version 12.6 3 nvidia 17kB
#9 149.9 + cuda-cudart_linux-64 12.6.77 0 nvidia 183kB
#9 149.9 + cuda-cudart-static_linux-64 12.6.77 0 nvidia 757kB
#9 149.9 + cuda-cccl_linux-64 12.6.77 0 nvidia 1MB
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#9 149.9 + cuda-nvvm-dev_linux-64 12.6.20 0 nvidia 17kB
#9 149.9 + cuda-crt-dev_linux-64 12.6.20 0 nvidia 81kB
#9 149.9 + cuda-cudart-dev_linux-64 12.6.77 0 nvidia 361kB
#9 149.9 + cuda-nvcc-dev_linux-64 12.6.20 0 nvidia 14MB
#9 149.9 + python 3.12.8 h9e4cc4f_1_cpython conda-forge 32MB
#9 149.9 + libva 2.22.0 h8a09558_1 conda-forge 218kB
#9 149.9 + binutils_impl_linux-64 2.43 h4bf12b8_2 conda-forge 6MB
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#9 149.9 + gcc_impl_linux-64 12.4.0 hb2e57f8_1 conda-forge 62MB
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#9 149.9 + gxx_linux-64 12.4.0 h8489865_7 conda-forge 30kB
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#9 149.9 + ffmpeg 7.1.0 gpl_hc87f87a_105 conda-forge 10MB
#9 149.9 + libnvfatbin 12.6.77 0 nvidia 802kB
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#9 149.9 + cuda-opencl 12.6.77 0 nvidia 26kB
#9 149.9 + cudnn 9.3.0.75 cuda12.6 nvidia 402MB
#9 149.9 + cuda-nvvm-tools 12.6.20 0 nvidia 13MB
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#9 149.9 + cuda-nvvm-impl 12.6.20 0 nvidia 9MB
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#9 149.9 + cuda-nvcc-tools 12.6.20 0 nvidia 28MB
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#9 149.9 + cuda-cudart-dev 12.4.127 0 nvidia 423kB
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#9 149.9 + cuda-nvcc_linux-64 12.6.20 0 nvidia 20kB
#9 149.9 + cuda-nvcc 12.6.20 0 nvidia 17kB
#9 149.9 + wheel 0.45.1 pyhd8ed1ab_1 conda-forge 63kB
#9 149.9 + setuptools 75.8.0 pyhff2d567_0 conda-forge 776kB
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#9 149.9 + pytz 2024.1 pyhd8ed1ab_0 conda-forge 189kB
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#9 149.9 + exceptiongroup 1.2.2 pyhd8ed1ab_1 conda-forge 20kB
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#9 149.9 + zipp 3.21.0 pyhd8ed1ab_1 conda-forge 22kB
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#9 149.9 + absl-py 2.1.0 pyhd8ed1ab_1 conda-forge 107kB
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#9 149.9 + markdown-it-py 3.0.0 pyhd8ed1ab_1 conda-forge 64kB
#9 149.9 + python-dateutil 2.9.0.post0 pyhff2d567_1 conda-forge 223kB
#9 149.9 + multipledispatch 0.6.0 pyhd8ed1ab_1 conda-forge 17kB
#9 149.9 + docrep 0.3.2 pyh44b312d_0 conda-forge 19kB
#9 149.9 + opt-einsum 3.4.0 hd8ed1ab_1 conda-forge 7kB
#9 149.9 + lightning-utilities 0.11.9 pyhd8ed1ab_1 conda-forge 29kB
#9 149.9 + typing-extensions 4.12.2 hd8ed1ab_1 conda-forge 10kB
#9 149.9 + markdown 3.6 pyhd8ed1ab_0 conda-forge 78kB
#9 149.9 + rich 13.9.4 pyhd8ed1ab_1 conda-forge 186kB
#9 149.9 + pytorch-cuda 12.4 hc786d27_7 pytorch 7kB
#9 149.9 + unicodedata2 15.1.0 py312h66e93f0_1 conda-forge 369kB
#9 149.9 + brotli-python 1.1.0 py312h2ec8cdc_2 conda-forge 350kB
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#9 149.9 + gmpy2 2.1.5 py312h7201bc8_3 conda-forge 210kB
#9 149.9 + tensorboard-data-server 0.7.0 py312hda17c39_2 conda-forge 4MB
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#9 149.9 + pillow 11.1.0 py312h80c1187_0 conda-forge 43MB
#9 149.9 + msgpack-python 1.1.0 py312h68727a3_0 conda-forge 105kB
#9 149.9 + pyyaml 6.0.2 py312h66e93f0_1 conda-forge 207kB
#9 149.9 + numpy 1.26.4 py312heda63a1_0 conda-forge 7MB
#9 149.9 + grpcio 1.62.2 py312hb06c811_0 conda-forge 1MB
#9 149.9 + cffi 1.17.1 py312h06ac9bb_0 conda-forge 294kB
#9 149.9 + openpyxl 3.1.5 py312h710cb58_1 conda-forge 696kB
#9 149.9 + fonttools 4.55.3 py312h178313f_1 conda-forge 3MB
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#9 149.9 + ml_dtypes 0.5.1 py312hf9745cd_0 conda-forge 291kB
#9 149.9 + pandas 2.2.3 py312hf9745cd_1 conda-forge 15MB
#9 149.9 + scipy 1.15.0 py312h180e4f1_1 conda-forge 19MB
#9 149.9 + numba 0.60.0 py312h83e6fd3_0 conda-forge 6MB
#9 149.9 + zstandard 0.23.0 py312hef9b889_1 conda-forge 420kB
#9 149.9 + matplotlib-base 3.10.0 py312hd3ec401_0 conda-forge 8MB
#9 149.9 + tensorstore 0.1.65 py312h5dbb109_1 conda-forge 8MB
#9 149.9 + scikit-learn 1.6.1 py312h7a48858_0 conda-forge 11MB
#9 149.9 + jaxlib 0.4.31 cuda120py312h3995614_201 conda-forge 94MB
#9 149.9 + werkzeug 3.1.3 pyhd8ed1ab_1 conda-forge 244kB
#9 149.9 + jinja2 3.1.5 pyhd8ed1ab_0 conda-forge 113kB
#9 149.9 + sympy 1.13.3 pyh2585a3b_105 conda-forge 5MB
#9 149.9 + ml-collections 1.0.0 pyh29332c3_0 conda-forge 62kB
#9 149.9 + xarray 2025.1.1 pyhd8ed1ab_0 conda-forge 834kB
#9 149.9 + anndata 0.11.2 pyhd8ed1ab_0 conda-forge 113kB
#9 149.9 + sparse 0.15.4 pyh267e887_1 conda-forge 98kB
#9 149.9 + urllib3 2.3.0 pyhd8ed1ab_0 conda-forge 100kB
#9 149.9 + jax 0.4.31 pyhd8ed1ab_2 conda-forge 1MB
#9 149.9 + tensorboard 2.18.0 pyhd8ed1ab_1 conda-forge 5MB
#9 149.9 + mudata 0.3.1 pyhd8ed1ab_1 conda-forge 41kB
#9 149.9 + requests 2.32.3 pyhd8ed1ab_1 conda-forge 59kB
#9 149.9 + orbax-checkpoint 0.6.4 pyhd8ed1ab_1 conda-forge 165kB
#9 149.9 + chex 0.1.88 pyhd8ed1ab_1 conda-forge 79kB
#9 149.9 + numpyro 0.16.1 pyhd8ed1ab_1 conda-forge 257kB
#9 149.9 + optax 0.2.3 pyhd8ed1ab_0 conda-forge 177kB
#9 149.9 + flax 0.10.2 pyhd8ed1ab_0 conda-forge 270kB
#9 149.9 + pytorch 2.4.0 py3.12_cuda12.4_cudnn9.1.0_0 pytorch 1GB
#9 149.9 + torchtriton 3.0.0 py312 pytorch 245MB
#9 149.9 + torchaudio 2.4.0 py312_cu124 pytorch 7MB
#9 149.9 + torchvision 0.19.0 py312_cu124 pytorch 9MB
#9 149.9 + torchmetrics 1.6.1 pyhd8ed1ab_0 conda-forge 371kB
#9 149.9 + pyro-ppl 1.9.1 pyhd8ed1ab_1 conda-forge 464kB
#9 149.9 + pytorch-lightning 2.5.0.post0 pyh101cb37_0 conda-forge 447kB
#9 149.9 + lightning 2.5.0.post0 pyhd8ed1ab_0 conda-forge 449kB
#9 149.9 + scvi-tools 1.2.2.post2 pyhd8ed1ab_2 conda-forge 270kB
#9 149.9
#9 149.9 Summary:
#9 149.9
#9 149.9 Install: 305 packages
#9 149.9
#9 149.9 Total download: 4GB
#9 149.9
#9 149.9 ─────────────────────────────────────────────────────────────────────────────────────────────────────────────
#9 149.9
#9 149.9
#9 149.9
#9 149.9 Transaction starting
#9 368.0
#9 370.3
#9 371.3 By downloading and using the cuDNN conda packages, you accept the terms and conditions of the NVIDIA cuDNN EULA -
#9 371.3 https://docs.nvidia.com/deeplearning/cudnn/sla/index.html
#9 371.3
#9 372.6 warning libmamba [docrep-0.3.2-pyh44b312d_0] The following files were already present in the environment:
#9 372.6 - LICENSE
#9 379.7
#9 379.7 Transaction finished
#9 379.7
#9 379.7 To activate this environment, use:
#9 379.7
#9 379.7 micromamba activate base
#9 379.7
#9 379.7 Or to execute a single command in this environment, use:
#9 379.7
#9 379.7 micromamba run -n base mycommand
#9 379.7
#9 379.8 conda-forge/linux-64 Using cache
#9 379.8 conda-forge/noarch Using cache
#9 382.5
#9 382.5 Pinned packages:
#9 382.5 - python 3.12.*
#9 382.5
#9 400.6
#9 400.6 Transaction
#9 400.6
#9 400.6 Prefix: /opt/conda
#9 400.6
#9 400.6 Updating specs:
#9 400.6
#9 400.6 - conda-forge::procps-ng
#9 400.6
#9 400.6
#9 400.6 Package Version Build Channel Size
#9 400.6 ───────────────────────────────────────────────────────────
#9 400.6 Install:
#9 400.6 ───────────────────────────────────────────────────────────
#9 400.6
#9 400.6 + procps-ng 4.0.4 haa1a288_0 conda-forge 551kB
#9 400.6
#9 400.6 Summary:
#9 400.6
#9 400.6 Install: 1 packages
#9 400.6
#9 400.6 Total download: 551kB
#9 400.6
#9 400.6 ───────────────────────────────────────────────────────────
#9 400.6
#9 400.6
#9 400.6
#9 400.6 Transaction starting
#9 401.4
#9 401.4 Transaction finished
#9 401.4
#9 401.4 To activate this environment, use:
#9 401.4
#9 401.4 micromamba activate base
#9 401.4
#9 401.4 Or to execute a single command in this environment, use:
#9 401.4
#9 401.4 micromamba run -n base mycommand
#9 401.4
#9 401.9 Collect information..
#9 401.9 Cleaning index cache..
#9 402.0 Cleaning lock files..
#9 402.0 Package file Size
#9 402.0 ───────────────────────────────────────────────────────────────────────────
#9 402.0 /opt/conda/pkgs
#9 402.0 ───────────────────────────────────────────────────────────────────────────
#9 402.0
#9 402.0 _libgcc_mutex-0.1-conda_forge.tar.bz2 3kB
#9 402.0 _openmp_mutex-4.5-2_kmp_llvm.tar.bz2 6kB
#9 402.0 absl-py-2.1.0-pyhd8ed1ab_1.conda 107kB
#9 402.0 anndata-0.11.2-pyhd8ed1ab_0.conda 113kB
#9 402.0 aom-3.9.1-hac33072_0.conda 3MB
#9 402.0 array-api-compat-1.10.0-pyhd8ed1ab_0.conda 38kB
#9 402.0 binutils_impl_linux-64-2.43-h4bf12b8_2.conda 6MB
#9 402.0 binutils_linux-64-2.43-h4852527_2.conda 35kB
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#9 402.0 brotli-1.1.0-hb9d3cd8_2.conda 19kB
#9 402.0 brotli-bin-1.1.0-hb9d3cd8_2.conda 19kB
#9 402.0 brotli-python-1.1.0-py312h2ec8cdc_2.conda 350kB
#9 402.0 bzip2-1.0.8-h4bc722e_7.conda 253kB
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#9 402.0 ca-certificates-2024.12.14-hbcca054_0.conda 157kB
#9 402.0 cached-property-1.5.2-hd8ed1ab_1.tar.bz2 4kB
#9 402.0 cached_property-1.5.2-pyha770c72_1.tar.bz2 11kB
#9 402.0 cairo-1.18.2-h3394656_1.conda 979kB
#9 402.0 certifi-2024.12.14-pyhd8ed1ab_0.conda 162kB
#9 402.0 cffi-1.17.1-py312h06ac9bb_0.conda 294kB
#9 402.0 charset-normalizer-3.4.1-pyhd8ed1ab_0.conda 47kB
#9 402.0 chex-0.1.88-pyhd8ed1ab_1.conda 79kB
#9 402.0 colorama-0.4.6-pyhd8ed1ab_1.conda 27kB
#9 402.0 contourpy-1.3.1-py312h68727a3_0.conda 276kB
#9 402.0 cpython-3.12.8-py312hd8ed1ab_1.conda 45kB
#9 402.0 cuda-cccl-12.6.77-0.conda 17kB
#9 402.0 cuda-cccl_linux-64-12.6.77-0.conda 1MB
#9 402.0 cuda-crt-dev_linux-64-12.6.20-0.tar.bz2 81kB
#9 402.0 cuda-crt-tools-12.6.20-0.tar.bz2 19kB
#9 402.0 cuda-cudart-12.4.127-0.tar.bz2 203kB
#9 402.0 cuda-cudart-dev-12.4.127-0.tar.bz2 423kB
#9 402.0 cuda-cudart-dev_linux-64-12.6.77-0.conda 361kB
#9 402.0 cuda-cudart-static_linux-64-12.6.77-0.conda 757kB
#9 402.0 cuda-cudart_linux-64-12.6.77-0.conda 183kB
#9 402.0 cuda-cupti-12.4.127-0.tar.bz2 17MB
#9 402.0 cuda-driver-dev_linux-64-12.6.77-0.conda 31kB
#9 402.0 cuda-libraries-12.4.1-0.tar.bz2 2kB
#9 402.0 cuda-nvcc-12.6.20-0.tar.bz2 17kB
#9 402.0 cuda-nvcc-dev_linux-64-12.6.20-0.tar.bz2 14MB
#9 402.0 cuda-nvcc-impl-12.6.20-0.tar.bz2 18kB
#9 402.0 cuda-nvcc-tools-12.6.20-0.tar.bz2 28MB
#9 402.0 cuda-nvcc_linux-64-12.6.20-0.tar.bz2 20kB
#9 402.0 cuda-nvrtc-12.4.127-0.tar.bz2 22MB
#9 402.0 cuda-nvtx-12.4.127-0.tar.bz2 59kB
#9 402.0 cuda-nvvm-dev_linux-64-12.6.20-0.tar.bz2 17kB
#9 402.0 cuda-nvvm-impl-12.6.20-0.tar.bz2 9MB
#9 402.0 cuda-nvvm-tools-12.6.20-0.tar.bz2 13MB
#9 402.0 cuda-opencl-12.6.77-0.conda 26kB
#9 402.0 cuda-runtime-12.4.1-0.tar.bz2 2kB
#9 402.0 cuda-version-12.6-3.conda 17kB
#9 402.0 cudnn-9.3.0.75-cuda12.6.conda 402MB
#9 402.0 cycler-0.12.1-pyhd8ed1ab_1.conda 13kB
#9 402.0 dav1d-1.2.1-hd590300_0.conda 760kB
#9 402.0 docrep-0.3.2-pyh44b312d_0.tar.bz2 19kB
#9 402.0 et_xmlfile-2.0.0-pyhd8ed1ab_1.conda 22kB
#9 402.0 etils-1.10.0-pyhd8ed1ab_1.conda 784kB
#9 402.0 exceptiongroup-1.2.2-pyhd8ed1ab_1.conda 20kB
#9 402.0 ffmpeg-7.1.0-gpl_hc87f87a_105.conda 10MB
#9 402.0 filelock-3.16.1-pyhd8ed1ab_1.conda 17kB
#9 402.0 flax-0.10.2-pyhd8ed1ab_0.conda 270kB
#9 402.0 font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2 397kB
#9 402.0 font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2 97kB
#9 402.0 font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2 701kB
#9 402.0 font-ttf-ubuntu-0.83-h77eed37_3.conda 2MB
#9 402.0 fontconfig-2.15.0-h7e30c49_1.conda 266kB
#9 402.0 fonts-conda-ecosystem-1-0.tar.bz2 4kB
#9 402.0 fonts-conda-forge-1-0.tar.bz2 4kB
#9 402.0 fonttools-4.55.3-py312h178313f_1.conda 3MB
#9 402.0 freetype-2.12.1-h267a509_2.conda 635kB
#9 402.0 fribidi-1.0.10-h36c2ea0_0.tar.bz2 114kB
#9 402.0 fsspec-2024.12.0-pyhd8ed1ab_0.conda 138kB
#9 402.0 gcc_impl_linux-64-12.4.0-hb2e57f8_1.conda 62MB
#9 402.0 gcc_linux-64-12.4.0-h6b7512a_7.conda 32kB
#9 402.0 gdk-pixbuf-2.42.12-hb9ae30d_0.conda 528kB
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#9 402.0
#9 402.0 /home/mambauser/.mamba/pkgs
#9 402.0 ───────────────────────────────────────────────────────────────────────────
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#9 402.0
#9 402.0 Total size: 4GB
#9 402.0 Cleaning tarballs..
#9 402.3 Cleaning packages..
#9 DONE 402.3s
#10 exporting to image
#10 exporting layers
#10 exporting layers 450.1s done
#10 exporting manifest sha256:7432a323c86c33d7b32d1d76e1b9e1fc4408973d20fb8a68b1f83fd0c5db814b done
#10 exporting config sha256:ee10b36f362c691195c890b1b8efe92d6bef6930003c653e8a3452b81e3b971c done
#10 pushing layers
