|
|
| === TERMS OF SERVICE AND LICENSING AGREEMENTS === |
|
|
| Creating conda environment 'behavior'... |
| ✓ Conda TOS auto-acceptance enabled |
| By accessing https://repo.anaconda.com/pkgs/main with auto acceptance enabled |
| (auto_accept_tos=True) for this repository you acknowledge and agree to the |
| Terms of Service: |
| ANACONDA TERMS OF SERVICE |
| Effective Date: July 15, 2025 |
|
|
| See https://anaconda.com/legal/terms/terms-of-service |
| By accessing https://repo.anaconda.com/pkgs/r with auto acceptance enabled |
| (auto_accept_tos=True) for this repository you acknowledge and agree to the |
| Terms of Service: |
| ANACONDA TERMS OF SERVICE |
| Effective Date: July 15, 2025 |
|
|
| See https://anaconda.com/legal/terms/terms-of-service |
| 2 channel Terms of Service accepted |
| Retrieving notices: ...working... done |
| Channels: |
| - conda-forge |
| - defaults |
| Platform: linux-64 |
| Collecting package metadata (repodata.json): ...working... done |
| Solving environment: ...working... done |
|
|
| |
|
|
| environment location: /workspace/miniconda3/envs/behavior |
|
|
| added / updated specs: |
| - pip |
| - python=3.11 |
| - setuptools[version='>=71,<81'] |
| - wheel |
|
|
|
|
| The following packages will be downloaded: |
|
|
| package | build |
| ---------------------------|----------------- |
| _openmp_mutex-4.5 | 20_gnu 28 KB conda-forge |
| bzip2-1.0.8 | hda65f42_10 252 KB conda-forge |
| ca-certificates-2026.7.22 | hbd8a1cb_0 129 KB conda-forge |
| icu-78.3 | py310h44b86e0_2 13.8 MB conda-forge |
| ld_impl_linux-64-2.46.1 |default_hbd61a6d_102 728 KB conda-forge |
| libexpat-2.8.1 | hecca717_1 76 KB conda-forge |
| libffi-3.7.0 | h81df57d_1 66 KB conda-forge |
| libgcc-16.2.0 | ha9f2e26_4 1.0 MB conda-forge |
| libgomp-16.2.0 | he0feb66_4 625 KB conda-forge |
| liblzma-5.8.3 | hb03c661_1 110 KB conda-forge |
| libnsl-2.0.1 | hb9d3cd8_1 33 KB conda-forge |
| libsqlite-3.53.4 | h13e7031_1 952 KB conda-forge |
| libstdcxx-16.2.0 | h934c35e_4 6.3 MB conda-forge |
| libuuid-2.42.2 | h5347b49_0 39 KB conda-forge |
| libxcrypt-4.4.38 | h280c20c_0 100 KB conda-forge |
| libzlib-1.3.2 | h25fd6f3_3 62 KB conda-forge |
| ncurses-6.6 | hdb14827_1 890 KB conda-forge |
| openssl-3.6.4 | h781a0a9_0 3.1 MB conda-forge |
| packaging-26.3 | pyhc364b38_0 114 KB conda-forge |
| pip-26.2.1 | pyh8b19718_0 1.1 MB conda-forge |
| python-3.11.16 |h8ab3286_0_cpython 29.5 MB conda-forge |
| readline-8.3 | hd6e31c0_1 341 KB conda-forge |
| setuptools-80.10.2 | pyh332efcf_0 663 KB conda-forge |
| tk-8.6.13 | noxft_h1df4ec4_4 3.4 MB conda-forge |
| tzdata-2026c | h151e31d_0 116 KB conda-forge |
| wheel-0.48.0 | pyhd8ed1ab_0 34 KB conda-forge |
| zstd-1.5.7 | hb78ec9c_7 587 KB conda-forge |
| ------------------------------------------------------------ |
| Total: 64.0 MB |
|
|
| The following NEW packages will be INSTALLED: |
|
|
| _openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-20_gnu |
| bzip2 conda-forge/linux-64::bzip2-1.0.8-hda65f42_10 |
| ca-certificates conda-forge/noarch::ca-certificates-2026.7.22-hbd8a1cb_0 |
| icu conda-forge/linux-64::icu-78.3-py310h44b86e0_2 |
| ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.46.1-default_hbd61a6d_102 |
| libexpat conda-forge/linux-64::libexpat-2.8.1-hecca717_1 |
| libffi conda-forge/linux-64::libffi-3.7.0-h81df57d_1 |
| libgcc conda-forge/linux-64::libgcc-16.2.0-ha9f2e26_4 |
| libgomp conda-forge/linux-64::libgomp-16.2.0-he0feb66_4 |
| liblzma conda-forge/linux-64::liblzma-5.8.3-hb03c661_1 |
| libnsl conda-forge/linux-64::libnsl-2.0.1-hb9d3cd8_1 |
| libsqlite conda-forge/linux-64::libsqlite-3.53.4-h13e7031_1 |
| libstdcxx conda-forge/linux-64::libstdcxx-16.2.0-h934c35e_4 |
| libuuid conda-forge/linux-64::libuuid-2.42.2-h5347b49_0 |
| libxcrypt conda-forge/linux-64::libxcrypt-4.4.38-h280c20c_0 |
| libzlib conda-forge/linux-64::libzlib-1.3.2-h25fd6f3_3 |
| ncurses conda-forge/linux-64::ncurses-6.6-hdb14827_1 |
| openssl conda-forge/linux-64::openssl-3.6.4-h781a0a9_0 |
| packaging conda-forge/noarch::packaging-26.3-pyhc364b38_0 |
| pip conda-forge/noarch::pip-26.2.1-pyh8b19718_0 |
| python conda-forge/linux-64::python-3.11.16-h8ab3286_0_cpython |
| readline conda-forge/linux-64::readline-8.3-hd6e31c0_1 |
| setuptools conda-forge/noarch::setuptools-80.10.2-pyh332efcf_0 |
| tk conda-forge/linux-64::tk-8.6.13-noxft_h1df4ec4_4 |
| tzdata conda-forge/noarch::tzdata-2026c-h151e31d_0 |
| wheel conda-forge/noarch::wheel-0.48.0-pyhd8ed1ab_0 |
| zstd conda-forge/linux-64::zstd-1.5.7-hb78ec9c_7 |
|
|
|
|
|
|
| Downloading and Extracting Packages: ...working... done |
| Preparing transaction: ...working... done |
| Verifying transaction: ...working... done |
| Executing transaction: ...working... done |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
|
|
| Channel "defaults" has the following notices: |
| [info] -- Thu Aug 6 00:00:00 2026 |
| main-x (Anaconda's new authenticated channel) is now generally available, with thousands of additional packages from our secure supply chain. Get started at: https://anaconda.com/docs/getting-started/main-x?utm_source=channel_notices |
| |
| WARNING conda.conda_pypi.main:notify_externally_managed_future(156): |
| Did you know? You can install many PyPI packages with conda |
| using the conda-pypi beta. Get started: |
| https://docs.conda.io/projects/conda/en/stable/new-features.html |
| |
| Installing PyTorch with CUDA 12.8 support... |
| Looking in indexes: https://download.pytorch.org/whl/cu128 |
| Collecting torch==2.7.0 |
| Using cached torch-2.7.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (29 kB) |
| Collecting torchvision==0.22.0 |
| Using cached torchvision-0.22.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (6.1 kB) |
| Collecting torchaudio==2.7.0 |
| Using cached torchaudio-2.7.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (6.6 kB) |
| Collecting torchcodec==0.5 |
| Using cached torchcodec-0.5%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl.metadata (10 kB) |
| Collecting filelock (from torch==2.7.0) |
| Using cached filelock-3.32.3-py3-none-any.whl.metadata (2.0 kB) |
| Collecting typing-extensions>=4.10.0 (from torch==2.7.0) |
| Using cached typing_extensions-4.16.0-py3-none-any.whl.metadata (3.3 kB) |
| Collecting sympy>=1.13.3 (from torch==2.7.0) |
| Using cached sympy-1.14.0-py3-none-any.whl.metadata (12 kB) |
| Collecting networkx (from torch==2.7.0) |
| Using cached networkx-3.6.1-py3-none-any.whl.metadata (6.8 kB) |
| Collecting jinja2 (from torch==2.7.0) |
| Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB) |
| Collecting fsspec (from torch==2.7.0) |
| Using cached fsspec-2026.7.0-py3-none-any.whl.metadata (10 kB) |
| Collecting nvidia-cuda-nvrtc-cu12==12.8.61 (from torch==2.7.0) |
| Downloading nvidia_cuda_nvrtc_cu12-12.8.61-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (88.0 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.0/88.0 MB 294.0 MB/s 0:00:00 |
| Collecting nvidia-cuda-runtime-cu12==12.8.57 (from torch==2.7.0) |
| Downloading nvidia_cuda_runtime_cu12-12.8.57-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (954 kB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 954.8/954.8 kB 394.4 MB/s 0:00:00 |
| Collecting nvidia-cuda-cupti-cu12==12.8.57 (from torch==2.7.0) |
| Downloading nvidia_cuda_cupti_cu12-12.8.57-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (10.2 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10.2/10.2 MB 405.2 MB/s 0:00:00 |
| Collecting nvidia-cudnn-cu12==9.7.1.26 (from torch==2.7.0) |
| Downloading nvidia_cudnn_cu12-9.7.1.26-py3-none-manylinux_2_27_x86_64.whl (726.9 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 726.9/726.9 MB 325.0 MB/s 0:00:02 |
| Collecting nvidia-cublas-cu12==12.8.3.14 (from torch==2.7.0) |
| Downloading nvidia_cublas_cu12-12.8.3.14-py3-none-manylinux_2_27_x86_64.whl (609.6 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 609.6/609.6 MB 323.9 MB/s 0:00:01 |
| Collecting nvidia-cufft-cu12==11.3.3.41 (from torch==2.7.0) |
| Downloading nvidia_cufft_cu12-11.3.3.41-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (193.1 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 193.1/193.1 MB 336.1 MB/s 0:00:00 |
| Collecting nvidia-curand-cu12==10.3.9.55 (from torch==2.7.0) |
| Downloading nvidia_curand_cu12-10.3.9.55-py3-none-manylinux_2_27_x86_64.whl (63.6 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 63.6/63.6 MB 290.7 MB/s 0:00:00 |
| Collecting nvidia-cusolver-cu12==11.7.2.55 (from torch==2.7.0) |
| Downloading nvidia_cusolver_cu12-11.7.2.55-py3-none-manylinux_2_27_x86_64.whl (260.4 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 260.4/260.4 MB 326.9 MB/s 0:00:00 |
| Collecting nvidia-cusparse-cu12==12.5.7.53 (from torch==2.7.0) |
| Downloading nvidia_cusparse_cu12-12.5.7.53-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (292.1 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 292.1/292.1 MB 336.6 MB/s 0:00:00 |
| Collecting nvidia-cusparselt-cu12==0.6.3 (from torch==2.7.0) |
| Downloading nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl (156.8 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 156.8/156.8 MB 338.5 MB/s 0:00:00 |
| Collecting nvidia-nccl-cu12==2.26.2 (from torch==2.7.0) |
| Downloading nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (201.3 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 201.3/201.3 MB 336.4 MB/s 0:00:00 |
| Collecting nvidia-nvtx-cu12==12.8.55 (from torch==2.7.0) |
| Downloading nvidia_nvtx_cu12-12.8.55-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89 kB) |
| Collecting nvidia-nvjitlink-cu12==12.8.61 (from torch==2.7.0) |
| Downloading nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl (39.2 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 39.2/39.2 MB 120.3 MB/s 0:00:00 |
| Collecting nvidia-cufile-cu12==1.13.0.11 (from torch==2.7.0) |
| Downloading nvidia_cufile_cu12-1.13.0.11-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.2 MB) |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 303.2 MB/s 0:00:00 |
| Collecting triton==3.3.0 (from torch==2.7.0) |
| Using cached triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (1.5 kB) |
| Collecting numpy (from torchvision==0.22.0) |
| Using cached numpy-2.4.6-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (6.6 kB) |
| Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.22.0) |
| Using cached pillow-12.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (9.1 kB) |
| Requirement already satisfied: setuptools>=40.8.0 in /workspace/miniconda3/envs/behavior/lib/python3.11/site-packages (from triton==3.3.0->torch==2.7.0) (80.10.2) |
| Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch==2.7.0) |
| Using cached mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB) |
| Collecting MarkupSafe>=2.0 (from jinja2->torch==2.7.0) |
| Using cached markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.7 kB) |
| Using cached torch-2.7.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl (1097.8 MB) |
| Using cached torchvision-0.22.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl (8.7 MB) |
| Using cached torchaudio-2.7.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl (3.9 MB) |
| Using cached torchcodec-0.5%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl (1.5 MB) |
| Using cached triton-3.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (156.5 MB) |
| Using cached pillow-12.3.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (6.9 MB) |
| Using cached sympy-1.14.0-py3-none-any.whl (6.3 MB) |
| Using cached mpmath-1.3.0-py3-none-any.whl (536 kB) |
| Using cached typing_extensions-4.16.0-py3-none-any.whl (45 kB) |
| Using cached filelock-3.32.3-py3-none-any.whl (98 kB) |
| Using cached fsspec-2026.7.0-py3-none-any.whl (206 kB) |
| Using cached jinja2-3.1.6-py3-none-any.whl (134 kB) |
| Using cached markupsafe-3.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (22 kB) |
| Using cached networkx-3.6.1-py3-none-any.whl (2.1 MB) |
| Using cached numpy-2.4.6-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (16.9 MB) |
| Installing collected packages: nvidia-cusparselt-cu12, mpmath, typing-extensions, triton, torchcodec, sympy, pillow, nvidia-nvtx-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, numpy, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch, torchvision, torchaudio |
| |
