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=== 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
## Package Plan ##
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
#
# To activate this environment, use
#
# $ conda activate behavior
#
# To deactivate an active environment, use
#
# $ conda deactivate
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)
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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)
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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)
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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
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