mkj
January 7, 2025, 11:01am
1
I have an Apple Mac M1 Pro with some pre-existing conda environments running tensor flow, torch, etc using the arm64 architecture.
When I follow the instructions to install TB as a new environment tbp.monty the installation is not correct - it installs/uses the x86 version of numpy and hence everything fails. I am sure that there is some easy fix but I have not found it.
As a side note none of my other environments require the use of the ‘subdir osx-64’ at all and they correctly use the arm64 versions.
Any advice gratefully received.
Hi @mkj ,
Welcome!. Thank you for trying to install Monty, and I apologize that it isn’t working.
There are a few reasons why an osx-64
installation may not be working on an M1 Pro:
If you see “Bad CPU type in executable,” that could be due to running commands from a shell other than zsh
, which can be verified by inspecting the output of echo $SHELL
.
Assuming you are already running zsh
, the next option may be to verify that your Mac has Rosetta installed to emulate Intel instructions. I believe the command to install Rosetta on a Mac is softwareupdate --install-rosetta
.
Would you please share the error you see?
mkj
January 7, 2025, 2:24pm
3
Tristan
Thanks for your email:
I can confirm that I am using zsh
According to this ‘/usr/bin/pgrep -q oahd && echo Yes || echo No’ I do have rosetta installed and running
The error that I get is from numpy not working:
from numpy.core._multiarray_umath import (
E ImportError: dlopen(/opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/core/_multiarray_umath.cpython-38-darwin.so, 0x0002): Library not loaded: @rpath /libcblas.3.dylib
E Referenced from: /opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/core/_multiarray_umath.cpython-38-darwin.so
E Reason: tried: ‘/opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/core/…/…/…/…/libcblas.3.dylib’ (mach-o file, but is an incompatible architecture (have ‘x86_64’, need ‘arm64e’ or ‘arm64’)), ‘/opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/core/…/…/…/…/libcblas.3.dylib’ (mach-o file, but is an incompatible architecture (have ‘x86_64’, need ‘arm64e’ or ‘arm64’)), ‘/opt/miniconda3/envs/tbp.monty/bin/…/lib/libcblas.3.dylib’ (mach-o file, but is an incompatible architecture (have ‘x86_64’, need ‘arm64e’ or ‘arm64’)), ‘/opt/miniconda3/envs/tbp.monty/bin/…/lib/libcblas.3.dylib’ (mach-o file, but is an incompatible architecture (have ‘x86_64’, need ‘arm64e’ or ‘arm64’)), ‘/usr/local/lib/libcblas.3.dylib’ (no such file), ‘/usr/lib/libcblas.3.dylib’ (no such file, not in dyld cache)
During handling of the above exception, another exception occurred:
/opt/miniconda3/envs/tbp.monty/lib/python3.8/importlib/init .py:127: in import_module
return _bootstrap._gcd_import(name[level:], package, level)
tests/unit/frameworks/actions/fakes/actuator_test.py:13: in
from tests.unit.frameworks.actions.fakes.actuator import FakeActuator
tests/unit/frameworks/actions/fakes/actuator.py:11: in
from tbp.monty.frameworks.actions.actions import (
src/tbp/monty/frameworks/actions/actions.py:17: in
from numpy import ndarray
/opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/init .py:141: in
from . import core
/opt/miniconda3/envs/tbp.monty/lib/python3.8/site-packages/numpy/core/init .py:49: in
raise ImportError(msg)
Thank you for sharing the error. What is the output of conda info
?
mkj
January 7, 2025, 2:47pm
5
active environment : None
shell level : 0
user config file : /Users/mkjackson/.condarc
populated config files : /Users/mkjackson/.condarc
conda version : 24.7.1
conda-build version : not installed
python version : 3.12.4.final.0
solver : libmamba (default)
virtual packages : __archspec=1=m1
__conda=24.7.1=0
__osx=15.2=0
__unix=0=0
base environment : /opt/miniconda3 (writable)
conda av data dir : /opt/miniconda3/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/anaconda-fusion/osx-arm64
https://conda.anaconda.org/anaconda-fusion/osx-64
https://conda.anaconda.org/anaconda-fusion/noarch
https://repo.anaconda.com/pkgs/main/osx-arm64
https://repo.anaconda.com/pkgs/main/osx-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/osx-arm64
https://repo.anaconda.com/pkgs/r/osx-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/miniconda3/pkgs
/Users/mkjackson/.conda/pkgs
envs directories : /opt/miniconda3/envs
/Users/mkjackson/.conda/envs
platform : osx-arm64
user-agent : conda/24.7.1 requests/2.32.2 CPython/3.12.4 Darwin/24.2.0 OSX/15.2 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.8 aau/0.4.4 c/. s/. e/.
UID:GID : 501:20
netrc file : None
offline mode : False
Thank you,
Would you activate the tbp.monty
environment and provide the conda info
output for that environment?
mkj
January 7, 2025, 2:58pm
7
active environment : tbp.monty
active env location : /opt/miniconda3/envs/tbp.monty
shell level : 1
user config file : /Users/mkjackson/.condarc
populated config files : /Users/mkjackson/.condarc
/opt/miniconda3/envs/tbp.monty/.condarc
conda version : 24.7.1
conda-build version : not installed
python version : 3.12.4.final.0
solver : libmamba (default)
virtual packages : __archspec=1=x86_64
__conda=24.7.1=0
__osx=15.2=0
__unix=0=0
base environment : /opt/miniconda3 (writable)
conda av data dir : /opt/miniconda3/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/anaconda-fusion/osx-arm64
https://conda.anaconda.org/anaconda-fusion/osx-64
https://conda.anaconda.org/anaconda-fusion/noarch
https://repo.anaconda.com/pkgs/main/osx-arm64
https://repo.anaconda.com/pkgs/main/osx-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/osx-arm64
https://repo.anaconda.com/pkgs/r/osx-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/miniconda3/pkgs
/Users/mkjackson/.conda/pkgs
envs directories : /opt/miniconda3/envs
/Users/mkjackson/.conda/envs
platform : osx-64
user-agent : conda/24.7.1 requests/2.32.2 CPython/3.12.4 Darwin/24.2.0 OSX/15.2 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.8 aau/0.4.4 c/. s/. e/.
UID:GID : 501:20
netrc file : None
offline mode : False
mkj
January 8, 2025, 10:18am
8
I tried commenting out the mkl<2022 line which then loaded the same blas libraries as a working environment (with python 3.8 and numpy) but that still gave the same error. It may be there is some other dependency further down the chain which I haven’t appreciated.
mkj
January 8, 2025, 10:24am
9
I ran ‘conda list’ on the standard (non-working on my machine) monty install and got the following:
# packages in environment at /opt/miniconda3/envs/tbp.monty:
#
# Name Version Build Channel
annotated-types 0.7.0 pypi_0 pypi
aom 3.9.1 h7bae524_0 conda-forge
attrs 24.2.0 py38hca03da5_0
blas 2.112 mkl conda-forge
blas-devel 3.9.0 12_osx64_mkl conda-forge
brotli 1.0.9 h80987f9_9
brotli-bin 1.0.9 h80987f9_9
brotli-python 1.0.9 py38h313beb8_8
bzip2 1.0.8 h80987f9_6
c-ares 1.34.4 h5505292_0 conda-forge
ca-certificates 2024.11.26 hca03da5_0
cairo 1.18.2 h6a3b0d2_1 conda-forge
certifi 2024.8.30 py38hca03da5_0
charset-normalizer 3.3.2 pyhd3eb1b0_0
click 8.1.8 pypi_0 pypi
cmake 3.31.2 ha25475f_1 conda-forge
contourpy 1.0.5 py38h525c30c_0
coverage 7.6.1 pypi_0 pypi
cycler 0.11.0 pyhd3eb1b0_0
dav1d 1.2.1 h80987f9_0
deptry 0.20.0 pypi_0 pypi
docker-pycreds 0.4.0 pypi_0 pypi
eval-type-backport 0.2.2 pypi_0 pypi
execnet 2.1.1 pypi_0 pypi
ffmpeg 7.1.0 gpl_h705e2fc_101 conda-forge
font-ttf-dejavu-sans-mono 2.37 hd3eb1b0_0
font-ttf-inconsolata 2.001 hcb22688_0
font-ttf-source-code-pro 2.030 hd3eb1b0_0
font-ttf-ubuntu 0.83 h8b1ccd4_0
fontconfig 2.15.0 h1383a14_1 conda-forge
fonts-anaconda 1 h8fa9717_0
fonts-conda-ecosystem 1 hd3eb1b0_0
fonttools 4.51.0 py38h80987f9_0
freetype 2.12.1 hadb7bae_2 conda-forge
fribidi 1.0.10 h1a28f6b_0
gitdb 4.0.7 pyhd3eb1b0_0
gitpython 3.1.43 py38hca03da5_0
gmp 6.3.0 h7bae524_2 conda-forge
graphite2 1.3.14 hc377ac9_1
habitat-sim 0.2.2 pypi_0 pypi
habitat-sim-mutex 1.0 display_bullet aihabitat
harfbuzz 9.0.0 h997cde5_1 conda-forge
icu 75.1 hfee45f7_0 conda-forge
idna 3.7 py38hca03da5_0
imageio 2.33.1 py38hca03da5_0
imageio-ffmpeg 0.5.1 pyhd8ed1ab_0 conda-forge
importlib-metadata 8.5.0 pyha770c72_0 conda-forge
importlib_metadata 8.5.0 hd3eb1b0_0
importlib_resources 6.4.0 py38hca03da5_0
iniconfig 2.0.0 pypi_0 pypi
jinja2 3.1.4 py38hca03da5_0
joblib 1.4.2 py38hca03da5_0
jpeg 9e h80987f9_3
kiwisolver 1.4.4 py38h313beb8_0
krb5 1.21.3 hf3e1bf2_0
lame 3.100 h1a28f6b_0
lazy-loader 0.4 pypi_0 pypi
lcms2 2.15 h481adae_0 conda-forge
lerc 4.0.0 h313beb8_0
libabseil 20240722.0 cxx17_h07bc746_4 conda-forge
libass 0.17.3 hf20b609_0 conda-forge
libblas 3.9.0 12_osx64_mkl conda-forge
libbrotlicommon 1.0.9 h80987f9_9
libbrotlidec 1.0.9 h80987f9_9
libbrotlienc 1.0.9 h80987f9_9
libcblas 3.9.0 12_osx64_mkl conda-forge
libcurl 8.11.1 h73640d1_0 conda-forge
libcxx 19.1.6 ha82da77_1 conda-forge
libdeflate 1.17 h80987f9_1
libedit 3.1.20230828 h80987f9_0
libev 4.33 h1a28f6b_1
libexpat 2.6.4 h286801f_0 conda-forge
libffi 3.4.4 hca03da5_1
libgfortran 5.0.0 13_2_0_hd922786_3 conda-forge
libgfortran5 13.2.0 hf226fd6_3 conda-forge
libglib 2.82.2 h07bd6cf_0 conda-forge
libhwloc 2.11.2 default_hbce5d74_1001 conda-forge
libiconv 1.17 h0d3ecfb_2 conda-forge
libidn2 2.3.4 h80987f9_0
libintl 0.22.5 h8414b35_3 conda-forge
liblapack 3.9.0 12_osx64_mkl conda-forge
liblapacke 3.9.0 12_osx64_mkl conda-forge
libllvm14 14.0.6 hd1a9a77_4 conda-forge
liblzma 5.6.3 h39f12f2_1 conda-forge
libnghttp2 1.64.0 h6d7220d_0 conda-forge
libopenvino 2024.4.0 hbfeda7a_2 conda-forge
libopenvino-arm-cpu-plugin 2024.4.0 hbfeda7a_2 conda-forge
libopenvino-auto-batch-plugin 2024.4.0 hf276634_2 conda-forge
libopenvino-auto-plugin 2024.4.0 hf276634_2 conda-forge
libopenvino-hetero-plugin 2024.4.0 h03892cd_2 conda-forge
libopenvino-ir-frontend 2024.4.0 h03892cd_2 conda-forge
libopenvino-onnx-frontend 2024.4.0 h7f5a098_2 conda-forge
libopenvino-paddle-frontend 2024.4.0 h7f5a098_2 conda-forge
libopenvino-pytorch-frontend 2024.4.0 h5833ebf_2 conda-forge
libopenvino-tensorflow-frontend 2024.4.0 h9d544f2_2 conda-forge
libopenvino-tensorflow-lite-frontend 2024.4.0 h5833ebf_2 conda-forge
libopus 1.3.1 h80987f9_1
libpng 1.6.44 hc14010f_0 conda-forge
libprotobuf 5.28.2 h8f0b736_0 conda-forge
libsqlite 3.47.2 h3f77e49_0 conda-forge
libssh2 1.11.1 h9cc3647_0 conda-forge
libtiff 4.5.0 h5dffbdd_2 conda-forge
libunistring 0.9.10 h1a28f6b_0
libuv 1.49.2 h7ab814d_0 conda-forge
libvpx 1.14.1 h7bae524_0 conda-forge
libwebp-base 1.3.2 h80987f9_1
libxcb 1.13 h9b22ae9_1004 conda-forge
libxml2 2.13.5 h178c5d8_1 conda-forge
libzlib 1.3.1 h8359307_2 conda-forge
llvm-openmp 14.0.6 hc6e5704_0
llvmlite 0.41.0 py38h514c7bf_0
markupsafe 2.1.3 py38h80987f9_0
matplotlib 3.7.1 py38hca03da5_1
matplotlib-base 3.7.1 py38h78102c4_1
mkl 2021.4.0 h89fa619_689 conda-forge
mkl-devel 2021.4.0 h694c41f_690 conda-forge
mkl-include 2021.4.0 hf224eb6_689 conda-forge
mpmath 1.3.0 pypi_0 pypi
mypy 1.11.2 pypi_0 pypi
mypy-extensions 1.0.0 pypi_0 pypi
ncurses 6.5 h7bae524_1 conda-forge
networkx 3.1 pypi_0 pypi
numba 0.58.1 py38h313beb8_0
numpy 1.24.4 py38ha84db1f_0 conda-forge
openh264 2.4.1 hebf3989_0 conda-forge
openjpeg 2.5.2 h54b8e55_0
openssl 3.4.0 h81ee809_1 conda-forge
packaging 24.1 py38hca03da5_0
pandas 2.0.3 pypi_0 pypi
pcre2 10.44 h297a79d_2 conda-forge
pillow 9.4.0 py38h1bb68ce_1 conda-forge
pip 24.2 py38hca03da5_0
pixman 0.44.2 h2f9eb0b_0 conda-forge
platformdirs 3.10.0 py38hca03da5_0
pluggy 1.5.0 pypi_0 pypi
pooch 1.7.0 py38hca03da5_0
protobuf 5.29.2 pypi_0 pypi
psutil 6.1.1 pypi_0 pypi
pthread-stubs 0.3 h1a28f6b_1
pugixml 1.14 h13dd4ca_0 conda-forge
py 1.11.0 pypi_0 pypi
pydantic 2.10.4 pypi_0 pypi
pydantic-core 2.27.2 pypi_0 pypi
pyg 2.1.0 py38_torch_1.11.0_cpu pyg
pyparsing 3.1.2 py38hca03da5_0
pysocks 1.7.1 py38hca03da5_0
pytest 7.1.1 pypi_0 pypi
pytest-cov 3.0.0 pypi_0 pypi
pytest-forked 1.6.0 pypi_0 pypi
pytest-xdist 2.5.0 pypi_0 pypi
python 3.8.20 h7d35d02_2_cpython conda-forge
python-dateutil 2.9.0post0 py38hca03da5_2
python_abi 3.8 5_cp38 conda-forge
pytorch 1.11.0 py3.8_0 pytorch
pytorch-cluster 1.6.0 py38_torch_1.11.0_cpu pyg
pytorch-scatter 2.0.9 py38_torch_1.11.0_cpu pyg
pytorch-sparse 0.6.15 py38_torch_1.11.0_cpu pyg
pytz 2024.2 pypi_0 pypi
pywavelets 1.4.1 pypi_0 pypi
pyyaml 6.0.2 pypi_0 pypi
quaternion 2023.0.3 py38hd97cf01_0 conda-forge
readline 8.2 h1a28f6b_0
requests 2.32.3 py38hca03da5_0
rhash 1.4.5 h7ab814d_0 conda-forge
ruff 0.7.1 pypi_0 pypi
scikit-image 0.21.0 pypi_0 pypi
scikit-learn 1.3.2 pypi_0 pypi
scipy 1.10.1 py38h038e806_3 conda-forge
sentry-sdk 2.19.2 pypi_0 pypi
setproctitle 1.3.4 pypi_0 pypi
setuptools 75.1.0 py38hca03da5_0
six 1.16.0 pyhd3eb1b0_1
smmap 3.0.5 pyhd3eb1b0_0
snappy 1.2.1 h313beb8_0
svt-av1 2.2.1 ha39b806_0 conda-forge
sympy 1.13.3 pypi_0 pypi
tbb 2021.13.0 h8149167_1 conda-forge
tbp-monty 0.0.0 pypi_0 pypi
threadpoolctl 3.5.0 py38h33ce5c2_0
tifffile 2023.7.10 pypi_0 pypi
tk 8.6.13 h5083fa2_1 conda-forge
tomli 2.2.1 pypi_0 pypi
torchvision 0.12.0 py38_cpu pytorch
tornado 6.4.1 py38h80987f9_0
tqdm 4.66.5 py38h33ce5c2_0
typing-extensions 4.12.2 pypi_0 pypi
tzdata 2024.2 pypi_0 pypi
unicodedata2 15.1.0 py38h80987f9_0
urllib3 2.2.3 py38hca03da5_0
wandb 0.19.1 pypi_0 pypi
wget 1.21.4 he2df1f1_0 conda-forge
wheel 0.44.0 py38hca03da5_0
withbullet 2.0 0 aihabitat
x264 1!164.3095 h57fd34a_2 conda-forge
x265 3.5 hbc6ce65_3 conda-forge
xorg-libxau 1.0.12 h5505292_0 conda-forge
xorg-libxdmcp 1.1.5 hd74edd7_0 conda-forge
xz 5.4.6 h80987f9_1
zipp 3.20.2 py38hca03da5_0
zlib 1.3.1 h8359307_2 conda-forge
zstd 1.5.6 hb46c0d2_0 conda-forge
The conda info
output looks similar to mine, I don’t see an issue with it.
The conda list
output looks different from what I have. I have a lot less things coming from conda-forge
, for example.
# packages in environment at /opt/anaconda3/envs/tbp.monty:
#
# Name Version Build Channel
attrs 24.2.0 py38hecd8cb5_0
blas 1.0 mkl
brotli 1.0.9 h6c40b1e_8
brotli-bin 1.0.9 h6c40b1e_8
brotli-python 1.0.9 py38hcec6c5f_8
bzip2 1.0.8 h6c40b1e_6
c-ares 1.19.1 h6c40b1e_0
ca-certificates 2024.9.24 hecd8cb5_0
certifi 2024.8.30 py38hecd8cb5_0
charset-normalizer 3.3.2 pyhd3eb1b0_0
click 8.1.7 pypi_0 pypi
cmake 3.26.4 hbb7d193_0
contourpy 1.0.5 py38haf03e11_0
coverage 7.6.1 pypi_0 pypi
cycler 0.11.0 pyhd3eb1b0_0
deptry 0.20.0 pypi_0 pypi
docker-pycreds 0.4.0 pypi_0 pypi
execnet 2.1.1 pypi_0 pypi
expat 2.6.3 h6d0c2b6_0
ffmpeg 4.3 h0a44026_0 pytorch
fonttools 4.51.0 py38h6c40b1e_0
freetype 2.12.1 hd8bbffd_0
gettext 0.21.0 h4e8c18a_2
gitdb 4.0.7 pyhd3eb1b0_0
gitpython 3.1.43 py38hecd8cb5_0
gmp 6.2.1 he9d5cce_3
gnutls 3.6.15 hed9c0bf_0
habitat-sim 0.2.2 pypi_0 pypi
habitat-sim-mutex 1.0 display_bullet aihabitat
icu 73.1 hcec6c5f_0
idna 3.7 py38hecd8cb5_0
imageio 2.33.1 py38hecd8cb5_0
imageio-ffmpeg 0.5.1 pyhd8ed1ab_0 conda-forge
importlib-metadata 8.5.0 pyha770c72_0 conda-forge
importlib_metadata 8.5.0 hd3eb1b0_0
importlib_resources 6.4.0 py38hecd8cb5_0
iniconfig 2.0.0 pypi_0 pypi
intel-openmp 2021.4.0 hecd8cb5_3538
jinja2 3.1.4 py38hecd8cb5_0
joblib 1.4.2 py38hecd8cb5_0
jpeg 9e h46256e1_3
kiwisolver 1.4.4 py38hcec6c5f_0
krb5 1.20.1 h428f121_1
lame 3.100 h1de35cc_0
lazy-loader 0.4 pypi_0 pypi
lcms2 2.12 hf1fd2bf_0
lerc 3.0 he9d5cce_0
libbrotlicommon 1.0.9 h6c40b1e_8
libbrotlidec 1.0.9 h6c40b1e_8
libbrotlienc 1.0.9 h6c40b1e_8
libcurl 8.9.1 h3a17b82_0
libcxx 14.0.6 h9765a3e_0
libdeflate 1.17 hb664fd8_1
libedit 3.1.20230828 h6c40b1e_0
libev 4.33 h9ed2024_1
libffi 3.4.4 hecd8cb5_1
libgfortran 5.0.0 11_3_0_hecd8cb5_28
libgfortran5 11.3.0 h9dfd629_28
libiconv 1.16 h6c40b1e_3
libidn2 2.3.4 h6c40b1e_0
libllvm14 14.0.6 h26321d7_4
libnghttp2 1.57.0 h9beae6a_0
libpng 1.6.39 h6c40b1e_0
libssh2 1.11.0 hf20ceda_0
libtasn1 4.19.0 h6c40b1e_0
libtiff 4.5.1 hcec6c5f_0
libunistring 0.9.10 h9ed2024_0
libuv 1.48.0 h46256e1_0
libwebp-base 1.3.2 h46256e1_1
libxml2 2.13.5 h6070cd6_0
llvm-openmp 14.0.6 h0dcd299_0
llvmlite 0.41.0 py38hfff2838_0
lz4-c 1.9.4 hcec6c5f_1
markupsafe 2.1.3 py38h6c40b1e_0
matplotlib 3.7.1 py38hecd8cb5_1
matplotlib-base 3.7.1 py38hda11e5a_1
mkl 2021.4.0 hecd8cb5_637
mkl-service 2.4.0 py38h9ed2024_0
mkl_fft 1.3.1 py38h4ab4a9b_0
mkl_random 1.2.2 py38hb2f4e1b_0
mpmath 1.3.0 pypi_0 pypi
mypy 1.11.2 pypi_0 pypi
mypy-extensions 1.0.0 pypi_0 pypi
ncurses 6.4 hcec6c5f_0
nettle 3.7.3 h230ac6f_1
networkx 3.1 pypi_0 pypi
numba 0.58.1 py38hcec6c5f_0
numpy 1.24.3 py38he696674_0
numpy-base 1.24.3 py38h9cd3388_0
openh264 2.1.1 h8346a28_0
openjpeg 2.5.2 hbf2204d_0
openssl 3.0.15 h46256e1_0
packaging 24.1 py38hecd8cb5_0
pandas 2.0.3 pypi_0 pypi
pillow 10.4.0 py38h46256e1_0
pip 24.2 py38hecd8cb5_0
platformdirs 3.10.0 py38hecd8cb5_0
pluggy 1.5.0 pypi_0 pypi
pooch 1.7.0 py38hecd8cb5_0
protobuf 5.29.0 pypi_0 pypi
psutil 6.1.0 pypi_0 pypi
py 1.11.0 pypi_0 pypi
pyg 2.1.0 py38_torch_1.11.0_cpu pyg
pyparsing 3.1.2 py38hecd8cb5_0
pysocks 1.7.1 py38_1
pytest 7.1.1 pypi_0 pypi
pytest-cov 3.0.0 pypi_0 pypi
pytest-forked 1.6.0 pypi_0 pypi
pytest-xdist 2.5.0 pypi_0 pypi
python 3.8.20 hce00570_0
python-dateutil 2.9.0post0 py38hecd8cb5_2
python_abi 3.8 2_cp38 conda-forge
pytorch 1.11.0 py3.8_0 pytorch
pytorch-cluster 1.6.0 py38_torch_1.11.0_cpu pyg
pytorch-scatter 2.0.9 py38_torch_1.11.0_cpu pyg
pytorch-sparse 0.6.15 py38_torch_1.11.0_cpu pyg
pytz 2024.2 pypi_0 pypi
pywavelets 1.4.1 pypi_0 pypi
pyyaml 6.0.2 pypi_0 pypi
quaternion 2023.0.3 py38h7092abf_0 conda-forge
readline 8.2 hca72f7f_0
requests 2.32.3 py38hecd8cb5_0
rhash 1.4.3 h04015c4_0
ruff 0.7.1 pypi_0 pypi
scikit-image 0.21.0 pypi_0 pypi
scikit-learn 1.3.2 pypi_0 pypi
scipy 1.10.0 py38h91c6ef4_1
sentry-sdk 2.19.0 pypi_0 pypi
setproctitle 1.3.4 pypi_0 pypi
setuptools 75.1.0 py38hecd8cb5_0
six 1.16.0 pyhd3eb1b0_1
smmap 3.0.5 pyhd3eb1b0_0
sqlite 3.45.3 h6c40b1e_0
sympy 1.13.3 pypi_0 pypi
tbb 2021.8.0 ha357a0b_0
tbp-monty 0.0.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tifffile 2023.7.10 pypi_0 pypi
tk 8.6.14 h4d00af3_0
tomli 2.2.1 pypi_0 pypi
torchvision 0.12.0 py38_cpu pytorch
tornado 6.4.1 py38h46256e1_0
tqdm 4.66.5 py38h20db666_0
typing_extensions 4.11.0 py38hecd8cb5_0
tzdata 2024.2 pypi_0 pypi
unicodedata2 15.1.0 py38h6c40b1e_0
urllib3 2.2.3 py38hecd8cb5_0
wandb 0.18.7 pypi_0 pypi
wget 1.24.5 h3a17b82_0
wheel 0.44.0 py38hecd8cb5_0
withbullet 2.0 0 aihabitat
xz 5.4.6 h6c40b1e_1
zipp 3.20.2 py38hecd8cb5_0
zlib 1.2.13 h4b97444_1
zstd 1.5.6 h138b38a_0
mkj
January 11, 2025, 11:09am
11
I don’t seem to be having much luck:
I tried installing on my PC and that failed saying that it couldn’t find either the wget or aihabitat packages despite my MAC install finding both. I am based in the UK so I wonder if there is some weird interaction geographically.
I did manage to get numpy to work but had to change the PyTorch version - which then broke other things.