Impossible to install pytorch with tegra support on pixi #5657
Description
Checks
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pixi, using
pixi --version.
Reproducible example
Commands I ran and their output:
straversaro@gblaptop0007:~/orinpixitest$ pixi list
Error: × failed to solve requirements of environment 'default' for platform 'linux-aarch64'
├─▶ × failed to solve the environment
│
╰─▶ Cannot solve the request because of: pytorch-gpu * cannot be installed because there are no viable options:
├─ pytorch-gpu 2.10.0 would require
│ └─ pytorch ==2.10.0 cuda*_generic*203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.10.0 | 2.10.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.10.0 | 2.10.0 would require
│ └─ pytorch ==2.10.0 cuda*_generic*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.10.0 | 2.10.0 would require
│ └─ pytorch ==2.10.0 cuda*_generic*201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.10.0 would require
│ └─ pytorch ==2.10.0 cuda*_generic*200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.10.0 | 2.10.0 | 2.10.0 | 2.10.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*205, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.9.1 would require
│ └─ pytorch ==2.9.1 cuda*_generic*200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.9.1 | 2.9.1 | 2.9.1 | 2.9.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.8.0 would require
│ └─ pytorch ==2.8.0 cuda*_generic*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.8.0 | 2.8.0 | 2.8.0 | 2.8.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.8.0 would require
│ └─ pytorch ==2.8.0 cuda*_generic*201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.8.0 | 2.8.0 | 2.8.0 | 2.8.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.8.0 would require
│ └─ pytorch ==2.8.0 cuda*_generic*200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.8.0 | 2.8.0 | 2.8.0 | 2.8.0 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.7.1 would require
│ └─ pytorch ==2.7.1 cuda*_generic*204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.7.1 would require
│ └─ pytorch ==2.7.1 cuda*_generic*203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.7.1 would require
│ └─ pytorch ==2.7.1 cuda*_generic*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
├─ pytorch-gpu 2.7.1 would require
│ └─ pytorch ==2.7.1 cuda*_generic*201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 would require
│ └─ arm-variant * sbsa, for which no candidates were found.
└─ pytorch-gpu 2.7.1 would require
└─ pytorch ==2.7.1 cuda*_generic*200, which cannot be installed because there are no viable options:
└─ pytorch 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 | 2.7.1 would require
└─ cudnn >=9.10.1.4,<10.0a0, which cannot be installed because there are no viable options:
└─ cudnn 9.10.1.4 | 9.10.1.4 | 9.10.1.4 | 9.10.2.21 | 9.10.2.21 | 9.10.2.21 | 9.12.0.46 | 9.13.0.50 | 9.13.1.26 | 9.14.0.64 | 9.15.0.58 | 9.15.1.9 | 9.16.0.29
| 9.17.0.29 | 9.17.1.4 | 9.18.0.77 | 9.18.1.3 | 9.19.0.56 | 9.19.1.2 | 9.20.0.48 would require
└─ arm-variant * sbsa, for which no candidates were found.
The following packages are incompatible
├─ arm-variant * *tegra* can be installed with any of the following options:
│ └─ arm-variant 1.0.0 | 1.1.0 | 1.2.0 | 1.2.0
└─ pytorch-gpu * cannot be installed because there are no viable options:
├─ pytorch-gpu 2.7.0 would require
│ └─ pytorch ==2.7.0 cuda*_generic*200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.7.0 | 2.7.0 | 2.7.0 | 2.7.0 | 2.7.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.6.0 would require
│ └─ pytorch ==2.6.0 cuda*_generic*204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.6.0 would require
│ └─ pytorch ==2.6.0 cuda*_generic*203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.6.0 would require
│ └─ pytorch ==2.6.0 cuda*_generic*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.6.0 would require
│ └─ pytorch ==2.6.0 cuda*_generic*201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.6.0 would require
│ └─ pytorch ==2.6.0 cuda*_generic*200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 | 2.6.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*217, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*216, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*215, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*213, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*212, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*211, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*210, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*209, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*208, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*_generic*207, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*206, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*205, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 | 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 | 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda*202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 | 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda126_py310h90e4772_201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.5.1 would require
│ └─ pytorch ==2.5.1 cuda120_py310h8c2c940_200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.5.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda*_generic*206, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 | 2.4.1 | 2.4.1 | 2.4.1 | 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py313hc28ba36_205, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py313h0663647_204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py311h315e626_203, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py311h493d65e_202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py313h7d4f60b_201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.1 would require
│ └─ pytorch ==2.4.1 cuda120_py311hbc361a1_200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.0 would require
│ └─ pytorch ==2.4.0 cuda120_py311h8b6455b_202, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.4.0 would require
│ └─ pytorch ==2.4.0 cuda120_py312haadfe8f_200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.4.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.3.1 would require
│ └─ pytorch ==2.3.1 cuda120_py39h4684420_200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.3.1 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.3.0 would require
│ └─ pytorch ==2.3.0 cuda120_py38h2059f03_201, which cannot be installed because there are no viable options:
│ └─ pytorch 2.3.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.3.0 would require
│ └─ pytorch ==2.3.0 cuda120_py312h09c8c2e_200, which cannot be installed because there are no viable options:
│ └─ pytorch 2.3.0 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
├─ pytorch-gpu 2.1.2 would require
│ └─ pytorch ==2.1.2 cuda120_py38hca0abb7_204, which cannot be installed because there are no viable options:
│ └─ pytorch 2.1.2 would constrain
│ └─ arm-variant * sbsa, which conflicts with any installable versions previously reported
└─ pytorch-gpu 2.1.2 would require
└─ pytorch ==2.1.2 cuda120_py310h13b6a1d_203, which cannot be installed because there are no viable options:
└─ pytorch 2.1.2 would constrain
└─ arm-variant * sbsa, which conflicts with any installable versions previously reportedpixi.toml/pyproject.toml file that reproduces my issue:
[workspace]
authors = ["Orin User <orin@ilovetegra.com>"]
channels = ["conda-forge"]
name = "test-cuda-orin"
platforms = ["linux-aarch64"]
version = "0.1.0"
[system-requirements]
cuda = "12.0"
[tasks]
[dependencies]
pytorch-gpu = "*"
arm-variant = {version = "*", build = "*tegra*" }pixi info output:
straversaro@gblaptop0007:~/orinpixitest$ pixi info
System
------------
Pixi version: 0.65.0
TLS backend: rustls
Platform: linux-64
Virtual packages: __unix=0=0
: __linux=6.6.87.2=0
: __glibc=2.39=0
: __cuda=12.8=0
: __archspec=1=skylake
Cache dir: /home/straversaro/.cache/rattler/cache
Auth storage: /home/straversaro/.rattler/credentials.json
Config locations: /home/straversaro/.pixi/config.toml
Global
------------
Bin dir: /home/straversaro/.pixi/bin
Environment dir: /home/straversaro/.pixi/envs
Manifest dir: /home/straversaro/.pixi/manifests/pixi-global.toml
Workspace
------------
Name: test-cuda-orin
Version: 0.1.0
Manifest file: /home/straversaro/orinpixitest/pixi.toml
Last updated: 11-03-2026 18:19:08
Environments
------------
Environment: default
Features: default
Channels: conda-forge
Dependency count: 2
Dependencies: pytorch-gpu, arm-variant
Target platforms: linux-aarch64
Prefix location: /home/straversaro/orinpixitest/.pixi/envs/default
System requirements: cuda = "12.0"
Other files (e.g. script files, source files, etc.):
Issue description
If I try to install a tegra-compatible PyTorch with GPU acceleration, it fails, see the reproducible example.
If I try to use conda, both with mamba or rattler solver, it works fine:
straversaro@gblaptop0007:~/orinpixitest$ CONDA_SUBDIR=linux-aarch64 conda create -n torchorin -c conda-forge pytorch-gpu="*" arm-variant=*=*tegra* --dry-run
Channels:
- conda-forge
Platform: linux-aarch64
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/straversaro/.pixi/envs/conda/envs/torchorin
added / updated specs:
- arm-variant[build=*tegra*]
- pytorch-gpu
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-4.5 | 7_kmp_llvm 8 KB conda-forge
arm-variant-1.2.0 | tegra 7 KB conda-forge
attr-2.5.1 | h4e544f5_1 73 KB conda-forge
bzip2-1.0.8 | h4777abc_9 188 KB conda-forge
cpython-3.14.3 |py314hd8ed1ab_101 49 KB conda-forge
cuda-crt-tools-12.9.86 | h465204a_2 28 KB conda-forge
cuda-cudart-12.9.79 | h7eb75c5_0 23 KB conda-forge
cuda-cudart_linux-aarch64-12.9.79| h7eb75c5_0 223 KB conda-forge
cuda-cuobjdump-12.9.82 | h9644686_1 234 KB conda-forge
cuda-cupti-12.9.79 | hb201e23_1 1.6 MB conda-forge
cuda-nvcc-tools-12.9.86 | h32d051c_2 23.1 MB conda-forge
cuda-nvdisasm-12.9.88 | h9644686_1 5.2 MB conda-forge
cuda-nvrtc-12.9.86 | hb5c4d24_1 33.6 MB conda-forge
cuda-nvtx-12.9.79 | h3fecd93_1 30 KB conda-forge
cuda-nvvm-tools-12.9.86 | hdaeda20_2 25.5 MB conda-forge
filelock-3.25.1 | pyhd8ed1ab_0 25 KB conda-forge
fmt-12.1.0 | h20c602a_0 193 KB conda-forge
gmp-6.3.0 | h0a1ffab_2 408 KB conda-forge
gmpy2-2.3.0 | py314h887ad84_1 240 KB conda-forge
icu-78.2 | hcab7f73_0 12.3 MB conda-forge
ld_impl_linux-aarch64-2.45.1|default_h1979696_101 855 KB conda-forge
libabseil-20260107.1 | cxx17_h6983b43_0 1.3 MB conda-forge
libblas-3.11.0 |5_haddc8a3_openblas 18 KB conda-forge
libcap-2.77 | h68e9139_0 106 KB conda-forge
libcblas-3.11.0 |5_hd72aa62_openblas 18 KB conda-forge
libcublas-12.9.1.4 | hb5c4d24_1 231.3 MB conda-forge
libcudnn-9.10.2.21 | hc3efb29_0 532.5 MB conda-forge
libcudss-0.7.1.4 | h371795b_1 18.8 MB conda-forge
libcufft-11.4.1.4 | hb5c4d24_1 154.9 MB conda-forge
libcufile-1.14.1.1 | h0fd89bd_1 875 KB conda-forge
libcurand-10.3.10.19 | hb5c4d24_1 38.6 MB conda-forge
libcusolver-11.7.5.82 | hb5c4d24_2 68.4 MB conda-forge
libcusparse-12.5.10.65 | hb5c4d24_2 65.2 MB conda-forge
libexpat-2.7.4 | hfae3067_0 75 KB conda-forge
libffi-3.5.2 | h376a255_0 55 KB conda-forge
libgcc-15.2.0 | h8acb6b2_18 608 KB conda-forge
libgcc-ng-15.2.0 | he9431aa_18 27 KB conda-forge
libgfortran-15.2.0 | he9431aa_18 27 KB conda-forge
libgfortran5-15.2.0 | h1b7bec0_18 1.4 MB conda-forge
liblapack-3.11.0 |5_h88aeb00_openblas 18 KB conda-forge
liblzma-5.8.2 | he30d5cf_0 123 KB conda-forge
libmagma-2.9.0 | h7537c71_6 189.3 MB conda-forge
libmpdec-4.0.0 | he30d5cf_1 111 KB conda-forge
libnl-3.11.0 | h86ecc28_0 751 KB conda-forge
libnvjitlink-12.9.86 | hb5c4d24_2 30.8 MB conda-forge
libopenblas-0.3.30 |openmp_h1a8b088_4 4.7 MB conda-forge
libprotobuf-6.33.5 | h1f88751_0 3.3 MB conda-forge
libsqlite-3.52.0 | h10b116e_0 930 KB conda-forge
libstdcxx-15.2.0 | hef695bb_18 5.3 MB conda-forge
libstdcxx-ng-15.2.0 | hdbbeba8_18 27 KB conda-forge
libsystemd0-259.3 | h8c5a66d_0 728 KB conda-forge
libtorch-2.10.0 |cuda129_generic_h7afb610_203 362.7 MB conda-forge
libudev1-259.3 | h8c5a66d_0 436 KB conda-forge
libuuid-2.41.3 | h1022ec0_0 42 KB conda-forge
libuv-1.51.0 | he30d5cf_1 614 KB conda-forge
libzlib-1.3.1 | h86ecc28_2 65 KB conda-forge
llvm-openmp-22.1.0 | he40846f_0 5.6 MB conda-forge
markupsafe-3.0.3 | py314hb76de3f_1 27 KB conda-forge
mpc-1.3.1 | h783934e_1 130 KB conda-forge
mpfr-4.2.1 | h2305555_3 1.8 MB conda-forge
mpmath-1.3.0 | pyhd8ed1ab_1 429 KB conda-forge
nccl-2.29.3.1 | h9afdbb6_0 74.6 MB conda-forge
ncurses-6.5 | ha32ae93_3 904 KB conda-forge
nomkl-1.0 | h5ca1d4c_0 4 KB conda-forge
numpy-2.4.2 | py314haac167e_1 7.6 MB conda-forge
openssl-3.6.1 | h546c87b_1 3.5 MB conda-forge
optree-0.19.0 | py314hd7d8586_0 457 KB conda-forge
pybind11-3.0.1 | pyh7a1b43c_0 227 KB conda-forge
pybind11-global-3.0.1 | pyhc7ab6ef_0 224 KB conda-forge
python-3.14.3 |hb06a95a_101_cp314 35.6 MB conda-forge
pytorch-2.10.0 |cuda129_generic_py314_hc9d7295_203 24.0 MB conda-forge
pytorch-gpu-2.10.0 |cuda129_generic_h038ea1a_203 52 KB conda-forge
rdma-core-61.0 | h1f0f388_0 1.3 MB conda-forge
readline-8.3 | hb682ff5_0 349 KB conda-forge
sleef-3.9.0 | h5bb93e2_0 1.1 MB conda-forge
tk-8.6.13 |noxft_h0dc03b3_103 3.2 MB conda-forge
triton-3.6.0 |cuda129py314h2e77090_1 233.3 MB conda-forge
zstd-1.5.7 | h85ac4a6_6 600 KB conda-forge
------------------------------------------------------------
Total: 2.16 GB
The following NEW packages will be INSTALLED:
_openmp_mutex conda-forge/linux-aarch64::_openmp_mutex-4.5-7_kmp_llvm
arm-variant conda-forge/noarch::arm-variant-1.2.0-tegra
attr conda-forge/linux-aarch64::attr-2.5.1-h4e544f5_1
bzip2 conda-forge/linux-aarch64::bzip2-1.0.8-h4777abc_9
ca-certificates conda-forge/noarch::ca-certificates-2026.2.25-hbd8a1cb_0
cpython conda-forge/noarch::cpython-3.14.3-py314hd8ed1ab_101
cuda-crt-tools conda-forge/linux-aarch64::cuda-crt-tools-12.9.86-h465204a_2
cuda-cudart conda-forge/linux-aarch64::cuda-cudart-12.9.79-h7eb75c5_0
cuda-cudart_linux~ conda-forge/noarch::cuda-cudart_linux-aarch64-12.9.79-h7eb75c5_0
cuda-cuobjdump conda-forge/linux-aarch64::cuda-cuobjdump-12.9.82-h9644686_1
cuda-cupti conda-forge/linux-aarch64::cuda-cupti-12.9.79-hb201e23_1
cuda-nvcc-tools conda-forge/linux-aarch64::cuda-nvcc-tools-12.9.86-h32d051c_2
cuda-nvdisasm conda-forge/linux-aarch64::cuda-nvdisasm-12.9.88-h9644686_1
cuda-nvrtc conda-forge/linux-aarch64::cuda-nvrtc-12.9.86-hb5c4d24_1
cuda-nvtx conda-forge/linux-aarch64::cuda-nvtx-12.9.79-h3fecd93_1
cuda-nvvm-tools conda-forge/linux-aarch64::cuda-nvvm-tools-12.9.86-hdaeda20_2
cuda-version conda-forge/noarch::cuda-version-12.9-h4f385c5_3
filelock conda-forge/noarch::filelock-3.25.1-pyhd8ed1ab_0
fmt conda-forge/linux-aarch64::fmt-12.1.0-h20c602a_0
fsspec conda-forge/noarch::fsspec-2026.2.0-pyhd8ed1ab_0
gmp conda-forge/linux-aarch64::gmp-6.3.0-h0a1ffab_2
gmpy2 conda-forge/linux-aarch64::gmpy2-2.3.0-py314h887ad84_1
icu conda-forge/linux-aarch64::icu-78.2-hcab7f73_0
jinja2 conda-forge/noarch::jinja2-3.1.6-pyhcf101f3_1
ld_impl_linux-aar~ conda-forge/linux-aarch64::ld_impl_linux-aarch64-2.45.1-default_h1979696_101
libabseil conda-forge/linux-aarch64::libabseil-20260107.1-cxx17_h6983b43_0
libblas conda-forge/linux-aarch64::libblas-3.11.0-5_haddc8a3_openblas
libcap conda-forge/linux-aarch64::libcap-2.77-h68e9139_0
libcblas conda-forge/linux-aarch64::libcblas-3.11.0-5_hd72aa62_openblas
libcublas conda-forge/linux-aarch64::libcublas-12.9.1.4-hb5c4d24_1
libcudnn conda-forge/linux-aarch64::libcudnn-9.10.2.21-hc3efb29_0
libcudss conda-forge/linux-aarch64::libcudss-0.7.1.4-h371795b_1
libcufft conda-forge/linux-aarch64::libcufft-11.4.1.4-hb5c4d24_1
libcufile conda-forge/linux-aarch64::libcufile-1.14.1.1-h0fd89bd_1
libcurand conda-forge/linux-aarch64::libcurand-10.3.10.19-hb5c4d24_1
libcusolver conda-forge/linux-aarch64::libcusolver-11.7.5.82-hb5c4d24_2
libcusparse conda-forge/linux-aarch64::libcusparse-12.5.10.65-hb5c4d24_2
libexpat conda-forge/linux-aarch64::libexpat-2.7.4-hfae3067_0
libffi conda-forge/linux-aarch64::libffi-3.5.2-h376a255_0
libgcc conda-forge/linux-aarch64::libgcc-15.2.0-h8acb6b2_18
libgcc-ng conda-forge/linux-aarch64::libgcc-ng-15.2.0-he9431aa_18
libgfortran conda-forge/linux-aarch64::libgfortran-15.2.0-he9431aa_18
libgfortran5 conda-forge/linux-aarch64::libgfortran5-15.2.0-h1b7bec0_18
liblapack conda-forge/linux-aarch64::liblapack-3.11.0-5_h88aeb00_openblas
liblzma conda-forge/linux-aarch64::liblzma-5.8.2-he30d5cf_0
libmagma conda-forge/linux-aarch64::libmagma-2.9.0-h7537c71_6
libmpdec conda-forge/linux-aarch64::libmpdec-4.0.0-he30d5cf_1
libnl conda-forge/linux-aarch64::libnl-3.11.0-h86ecc28_0
libnvjitlink conda-forge/linux-aarch64::libnvjitlink-12.9.86-hb5c4d24_2
libopenblas conda-forge/linux-aarch64::libopenblas-0.3.30-openmp_h1a8b088_4
libprotobuf conda-forge/linux-aarch64::libprotobuf-6.33.5-h1f88751_0
libsqlite conda-forge/linux-aarch64::libsqlite-3.52.0-h10b116e_0
libstdcxx conda-forge/linux-aarch64::libstdcxx-15.2.0-hef695bb_18
libstdcxx-ng conda-forge/linux-aarch64::libstdcxx-ng-15.2.0-hdbbeba8_18
libsystemd0 conda-forge/linux-aarch64::libsystemd0-259.3-h8c5a66d_0
libtorch conda-forge/linux-aarch64::libtorch-2.10.0-cuda129_generic_h7afb610_203
libudev1 conda-forge/linux-aarch64::libudev1-259.3-h8c5a66d_0
libuuid conda-forge/linux-aarch64::libuuid-2.41.3-h1022ec0_0
libuv conda-forge/linux-aarch64::libuv-1.51.0-he30d5cf_1
libzlib conda-forge/linux-aarch64::libzlib-1.3.1-h86ecc28_2
llvm-openmp conda-forge/linux-aarch64::llvm-openmp-22.1.0-he40846f_0
markupsafe conda-forge/linux-aarch64::markupsafe-3.0.3-py314hb76de3f_1
mpc conda-forge/linux-aarch64::mpc-1.3.1-h783934e_1
mpfr conda-forge/linux-aarch64::mpfr-4.2.1-h2305555_3
mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_1
nccl conda-forge/linux-aarch64::nccl-2.29.3.1-h9afdbb6_0
ncurses conda-forge/linux-aarch64::ncurses-6.5-ha32ae93_3
networkx conda-forge/noarch::networkx-3.6.1-pyhcf101f3_0
nomkl conda-forge/noarch::nomkl-1.0-h5ca1d4c_0
numpy conda-forge/linux-aarch64::numpy-2.4.2-py314haac167e_1
openssl conda-forge/linux-aarch64::openssl-3.6.1-h546c87b_1
optree conda-forge/linux-aarch64::optree-0.19.0-py314hd7d8586_0
pip conda-forge/noarch::pip-26.0.1-pyh145f28c_0
pybind11 conda-forge/noarch::pybind11-3.0.1-pyh7a1b43c_0
pybind11-abi conda-forge/noarch::pybind11-abi-11-hc364b38_1
pybind11-global conda-forge/noarch::pybind11-global-3.0.1-pyhc7ab6ef_0
python conda-forge/linux-aarch64::python-3.14.3-hb06a95a_101_cp314
python_abi conda-forge/noarch::python_abi-3.14-8_cp314
pytorch conda-forge/linux-aarch64::pytorch-2.10.0-cuda129_generic_py314_hc9d7295_203
pytorch-gpu conda-forge/linux-aarch64::pytorch-gpu-2.10.0-cuda129_generic_h038ea1a_203
rdma-core conda-forge/linux-aarch64::rdma-core-61.0-h1f0f388_0
readline conda-forge/linux-aarch64::readline-8.3-hb682ff5_0
setuptools conda-forge/noarch::setuptools-82.0.1-pyh332efcf_0
sleef conda-forge/linux-aarch64::sleef-3.9.0-h5bb93e2_0
sympy conda-forge/noarch::sympy-1.14.0-pyh2585a3b_106
tk conda-forge/linux-aarch64::tk-8.6.13-noxft_h0dc03b3_103
triton conda-forge/linux-aarch64::triton-3.6.0-cuda129py314h2e77090_1
typing-extensions conda-forge/noarch::typing-extensions-4.15.0-h396c80c_0
typing_extensions conda-forge/noarch::typing_extensions-4.15.0-pyhcf101f3_0
tzdata conda-forge/noarch::tzdata-2025c-hc9c84f9_1
zstd conda-forge/linux-aarch64::zstd-1.5.7-h85ac4a6_6
DryRunExit: Dry run. Exiting.
straversaro@gblaptop0007:~/orinpixitest$ CONDA_SUBDIR=linux-aarch64 conda create --solver=rattler -n torchorin -c conda-forge pytorch-gpu="*" arm-variant=*=*tegra* --dry-run
Channel: conda-forge
Platform: linux-aarch64
Target prefix: <dry run>
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/straversaro/.pixi/envs/conda/envs/torchorin
added / updated specs:
- arm-variant[build=*tegra*]
- pytorch-gpu
The following packages will be downloaded:
package | build
---------------------------|-----------------
_openmp_mutex-4.5 | 7_kmp_llvm 8 KB conda-forge
arm-variant-1.2.0 | tegra 7 KB conda-forge
attr-2.5.1 | h4e544f5_1 73 KB conda-forge
bzip2-1.0.8 | h4777abc_9 188 KB conda-forge
cpython-3.14.3 |py314hd8ed1ab_101 49 KB conda-forge
cuda-crt-tools-12.9.86 | h465204a_2 28 KB conda-forge
cuda-cudart-12.9.79 | h7eb75c5_0 23 KB conda-forge
cuda-cudart_linux-aarch64-12.9.79| h7eb75c5_0 223 KB conda-forge
cuda-cuobjdump-12.9.82 | h9644686_1 234 KB conda-forge
cuda-cupti-12.9.79 | hb201e23_1 1.6 MB conda-forge
cuda-nvcc-tools-12.9.86 | h32d051c_2 23.1 MB conda-forge
cuda-nvdisasm-12.9.88 | h9644686_1 5.2 MB conda-forge
cuda-nvrtc-12.9.86 | hb5c4d24_1 33.6 MB conda-forge
cuda-nvtx-12.9.79 | h3fecd93_1 30 KB conda-forge
cuda-nvvm-tools-12.9.86 | hdaeda20_2 25.5 MB conda-forge
filelock-3.25.1 | pyhd8ed1ab_0 25 KB conda-forge
fmt-12.1.0 | h20c602a_0 193 KB conda-forge
gmp-6.3.0 | h0a1ffab_2 408 KB conda-forge
gmpy2-2.3.0 | py314h887ad84_1 240 KB conda-forge
icu-78.2 | hcab7f73_0 12.3 MB conda-forge
ld_impl_linux-aarch64-2.45.1|default_h1979696_101 855 KB conda-forge
libabseil-20260107.1 | cxx17_h6983b43_0 1.3 MB conda-forge
libblas-3.11.0 |5_haddc8a3_openblas 18 KB conda-forge
libcap-2.77 | h68e9139_0 106 KB conda-forge
libcblas-3.11.0 |5_hd72aa62_openblas 18 KB conda-forge
libcublas-12.9.1.4 | hb5c4d24_1 231.3 MB conda-forge
libcudnn-9.10.2.21 | hc3efb29_0 532.5 MB conda-forge
libcudss-0.7.1.4 | h371795b_1 18.8 MB conda-forge
libcufft-11.4.1.4 | hb5c4d24_1 154.9 MB conda-forge
libcufile-1.14.1.1 | h0fd89bd_1 875 KB conda-forge
libcurand-10.3.10.19 | hb5c4d24_1 38.6 MB conda-forge
libcusolver-11.7.5.82 | hb5c4d24_2 68.4 MB conda-forge
libcusparse-12.5.10.65 | hb5c4d24_2 65.2 MB conda-forge
libexpat-2.7.4 | hfae3067_0 75 KB conda-forge
libffi-3.5.2 | h376a255_0 55 KB conda-forge
libgcc-15.2.0 | h8acb6b2_18 608 KB conda-forge
libgcc-ng-15.2.0 | he9431aa_18 27 KB conda-forge
libgfortran-15.2.0 | he9431aa_18 27 KB conda-forge
libgfortran5-15.2.0 | h1b7bec0_18 1.4 MB conda-forge
liblapack-3.11.0 |5_h88aeb00_openblas 18 KB conda-forge
liblzma-5.8.2 | he30d5cf_0 123 KB conda-forge
libmagma-2.9.0 | h7537c71_6 189.3 MB conda-forge
libmpdec-4.0.0 | he30d5cf_1 111 KB conda-forge
libnl-3.11.0 | h86ecc28_0 751 KB conda-forge
libnvjitlink-12.9.86 | hb5c4d24_2 30.8 MB conda-forge
libopenblas-0.3.30 |openmp_h1a8b088_4 4.7 MB conda-forge
libprotobuf-6.33.5 | h1f88751_0 3.3 MB conda-forge
libsqlite-3.52.0 | h10b116e_0 930 KB conda-forge
libstdcxx-15.2.0 | hef695bb_18 5.3 MB conda-forge
libstdcxx-ng-15.2.0 | hdbbeba8_18 27 KB conda-forge
libsystemd0-259.3 | h8c5a66d_0 728 KB conda-forge
libtorch-2.10.0 |cuda129_generic_h7afb610_203 362.7 MB conda-forge
libudev1-259.3 | h8c5a66d_0 436 KB conda-forge
libuuid-2.41.3 | h1022ec0_0 42 KB conda-forge
libuv-1.51.0 | he30d5cf_1 614 KB conda-forge
libzlib-1.3.1 | h86ecc28_2 65 KB conda-forge
llvm-openmp-22.1.0 | he40846f_0 5.6 MB conda-forge
markupsafe-3.0.3 | py314hb76de3f_1 27 KB conda-forge
mpc-1.3.1 | h783934e_1 130 KB conda-forge
mpfr-4.2.1 | h2305555_3 1.8 MB conda-forge
mpmath-1.3.0 | pyhd8ed1ab_1 429 KB conda-forge
nccl-2.29.3.1 | h9afdbb6_0 74.6 MB conda-forge
ncurses-6.5 | ha32ae93_3 904 KB conda-forge
nomkl-1.0 | h5ca1d4c_0 4 KB conda-forge
numpy-2.4.2 | py314haac167e_1 7.6 MB conda-forge
openssl-3.6.1 | h546c87b_1 3.5 MB conda-forge
optree-0.19.0 | py314hd7d8586_0 457 KB conda-forge
pybind11-3.0.1 | pyh7a1b43c_0 227 KB conda-forge
pybind11-global-3.0.1 | pyhc7ab6ef_0 224 KB conda-forge
python-3.14.3 |hb06a95a_101_cp314 35.6 MB conda-forge
pytorch-2.10.0 |cuda129_generic_py314_hc9d7295_203 24.0 MB conda-forge
pytorch-gpu-2.10.0 |cuda129_generic_h038ea1a_203 52 KB conda-forge
rdma-core-61.0 | h1f0f388_0 1.3 MB conda-forge
readline-8.3 | hb682ff5_0 349 KB conda-forge
sleef-3.9.0 | h5bb93e2_0 1.1 MB conda-forge
tk-8.6.13 |noxft_h0dc03b3_103 3.2 MB conda-forge
triton-3.6.0 |cuda129py314h2e77090_1 233.3 MB conda-forge
zstd-1.5.7 | h85ac4a6_6 600 KB conda-forge
------------------------------------------------------------
Total: 2.16 GB
The following NEW packages will be INSTALLED:
_openmp_mutex conda-forge/linux-aarch64::_openmp_mutex-4.5-7_kmp_llvm
arm-variant conda-forge/noarch::arm-variant-1.2.0-tegra
attr conda-forge/linux-aarch64::attr-2.5.1-h4e544f5_1
bzip2 conda-forge/linux-aarch64::bzip2-1.0.8-h4777abc_9
ca-certificates conda-forge/noarch::ca-certificates-2026.2.25-hbd8a1cb_0
cpython conda-forge/noarch::cpython-3.14.3-py314hd8ed1ab_101
cuda-crt-tools conda-forge/linux-aarch64::cuda-crt-tools-12.9.86-h465204a_2
cuda-cudart conda-forge/linux-aarch64::cuda-cudart-12.9.79-h7eb75c5_0
cuda-cudart_linux~ conda-forge/noarch::cuda-cudart_linux-aarch64-12.9.79-h7eb75c5_0
cuda-cuobjdump conda-forge/linux-aarch64::cuda-cuobjdump-12.9.82-h9644686_1
cuda-cupti conda-forge/linux-aarch64::cuda-cupti-12.9.79-hb201e23_1
cuda-nvcc-tools conda-forge/linux-aarch64::cuda-nvcc-tools-12.9.86-h32d051c_2
cuda-nvdisasm conda-forge/linux-aarch64::cuda-nvdisasm-12.9.88-h9644686_1
cuda-nvrtc conda-forge/linux-aarch64::cuda-nvrtc-12.9.86-hb5c4d24_1
cuda-nvtx conda-forge/linux-aarch64::cuda-nvtx-12.9.79-h3fecd93_1
cuda-nvvm-tools conda-forge/linux-aarch64::cuda-nvvm-tools-12.9.86-hdaeda20_2
cuda-version conda-forge/noarch::cuda-version-12.9-h4f385c5_3
filelock conda-forge/noarch::filelock-3.25.1-pyhd8ed1ab_0
fmt conda-forge/linux-aarch64::fmt-12.1.0-h20c602a_0
fsspec conda-forge/noarch::fsspec-2026.2.0-pyhd8ed1ab_0
gmp conda-forge/linux-aarch64::gmp-6.3.0-h0a1ffab_2
gmpy2 conda-forge/linux-aarch64::gmpy2-2.3.0-py314h887ad84_1
icu conda-forge/linux-aarch64::icu-78.2-hcab7f73_0
jinja2 conda-forge/noarch::jinja2-3.1.6-pyhcf101f3_1
ld_impl_linux-aar~ conda-forge/linux-aarch64::ld_impl_linux-aarch64-2.45.1-default_h1979696_101
libabseil conda-forge/linux-aarch64::libabseil-20260107.1-cxx17_h6983b43_0
libblas conda-forge/linux-aarch64::libblas-3.11.0-5_haddc8a3_openblas
libcap conda-forge/linux-aarch64::libcap-2.77-h68e9139_0
libcblas conda-forge/linux-aarch64::libcblas-3.11.0-5_hd72aa62_openblas
libcublas conda-forge/linux-aarch64::libcublas-12.9.1.4-hb5c4d24_1
libcudnn conda-forge/linux-aarch64::libcudnn-9.10.2.21-hc3efb29_0
libcudss conda-forge/linux-aarch64::libcudss-0.7.1.4-h371795b_1
libcufft conda-forge/linux-aarch64::libcufft-11.4.1.4-hb5c4d24_1
libcufile conda-forge/linux-aarch64::libcufile-1.14.1.1-h0fd89bd_1
libcurand conda-forge/linux-aarch64::libcurand-10.3.10.19-hb5c4d24_1
libcusolver conda-forge/linux-aarch64::libcusolver-11.7.5.82-hb5c4d24_2
libcusparse conda-forge/linux-aarch64::libcusparse-12.5.10.65-hb5c4d24_2
libexpat conda-forge/linux-aarch64::libexpat-2.7.4-hfae3067_0
libffi conda-forge/linux-aarch64::libffi-3.5.2-h376a255_0
libgcc conda-forge/linux-aarch64::libgcc-15.2.0-h8acb6b2_18
libgcc-ng conda-forge/linux-aarch64::libgcc-ng-15.2.0-he9431aa_18
libgfortran conda-forge/linux-aarch64::libgfortran-15.2.0-he9431aa_18
libgfortran5 conda-forge/linux-aarch64::libgfortran5-15.2.0-h1b7bec0_18
liblapack conda-forge/linux-aarch64::liblapack-3.11.0-5_h88aeb00_openblas
liblzma conda-forge/linux-aarch64::liblzma-5.8.2-he30d5cf_0
libmagma conda-forge/linux-aarch64::libmagma-2.9.0-h7537c71_6
libmpdec conda-forge/linux-aarch64::libmpdec-4.0.0-he30d5cf_1
libnl conda-forge/linux-aarch64::libnl-3.11.0-h86ecc28_0
libnvjitlink conda-forge/linux-aarch64::libnvjitlink-12.9.86-hb5c4d24_2
libopenblas conda-forge/linux-aarch64::libopenblas-0.3.30-openmp_h1a8b088_4
libprotobuf conda-forge/linux-aarch64::libprotobuf-6.33.5-h1f88751_0
libsqlite conda-forge/linux-aarch64::libsqlite-3.52.0-h10b116e_0
libstdcxx conda-forge/linux-aarch64::libstdcxx-15.2.0-hef695bb_18
libstdcxx-ng conda-forge/linux-aarch64::libstdcxx-ng-15.2.0-hdbbeba8_18
libsystemd0 conda-forge/linux-aarch64::libsystemd0-259.3-h8c5a66d_0
libtorch conda-forge/linux-aarch64::libtorch-2.10.0-cuda129_generic_h7afb610_203
libudev1 conda-forge/linux-aarch64::libudev1-259.3-h8c5a66d_0
libuuid conda-forge/linux-aarch64::libuuid-2.41.3-h1022ec0_0
libuv conda-forge/linux-aarch64::libuv-1.51.0-he30d5cf_1
libzlib conda-forge/linux-aarch64::libzlib-1.3.1-h86ecc28_2
llvm-openmp conda-forge/linux-aarch64::llvm-openmp-22.1.0-he40846f_0
markupsafe conda-forge/linux-aarch64::markupsafe-3.0.3-py314hb76de3f_1
mpc conda-forge/linux-aarch64::mpc-1.3.1-h783934e_1
mpfr conda-forge/linux-aarch64::mpfr-4.2.1-h2305555_3
mpmath conda-forge/noarch::mpmath-1.3.0-pyhd8ed1ab_1
nccl conda-forge/linux-aarch64::nccl-2.29.3.1-h9afdbb6_0
ncurses conda-forge/linux-aarch64::ncurses-6.5-ha32ae93_3
networkx conda-forge/noarch::networkx-3.6.1-pyhcf101f3_0
nomkl conda-forge/noarch::nomkl-1.0-h5ca1d4c_0
numpy conda-forge/linux-aarch64::numpy-2.4.2-py314haac167e_1
openssl conda-forge/linux-aarch64::openssl-3.6.1-h546c87b_1
optree conda-forge/linux-aarch64::optree-0.19.0-py314hd7d8586_0
pybind11 conda-forge/noarch::pybind11-3.0.1-pyh7a1b43c_0
pybind11-abi conda-forge/noarch::pybind11-abi-11-hc364b38_1
pybind11-global conda-forge/noarch::pybind11-global-3.0.1-pyhc7ab6ef_0
python conda-forge/linux-aarch64::python-3.14.3-hb06a95a_101_cp314
python_abi conda-forge/noarch::python_abi-3.14-8_cp314
pytorch conda-forge/linux-aarch64::pytorch-2.10.0-cuda129_generic_py314_hc9d7295_203
pytorch-gpu conda-forge/linux-aarch64::pytorch-gpu-2.10.0-cuda129_generic_h038ea1a_203
rdma-core conda-forge/linux-aarch64::rdma-core-61.0-h1f0f388_0
readline conda-forge/linux-aarch64::readline-8.3-hb682ff5_0
setuptools conda-forge/noarch::setuptools-82.0.1-pyh332efcf_0
sleef conda-forge/linux-aarch64::sleef-3.9.0-h5bb93e2_0
sympy conda-forge/noarch::sympy-1.14.0-pyh2585a3b_106
tk conda-forge/linux-aarch64::tk-8.6.13-noxft_h0dc03b3_103
triton conda-forge/linux-aarch64::triton-3.6.0-cuda129py314h2e77090_1
typing-extensions conda-forge/noarch::typing-extensions-4.15.0-h396c80c_0
typing_extensions conda-forge/noarch::typing_extensions-4.15.0-pyhcf101f3_0
tzdata conda-forge/noarch::tzdata-2025c-hc9c84f9_1
zstd conda-forge/linux-aarch64::zstd-1.5.7-h85ac4a6_6
DryRunExit: Dry run. Exiting
Expected behavior
That the package was installed fine.