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HIPS / autograd

Efficiently computes derivatives of NumPy code.
MIT License
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error importing autograd: "module 'numpy' has no attribute 'msort'" #625

Closed Garren-H closed 3 months ago

Garren-H commented 3 months ago

Hi all

I have recently installed autograd through conda using the conda-forge channel. I have run into an issue that numpy has no attribute msort. Any help with this would be much appreciated

Conda list output Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge asttokens 2.4.1 pyhd8ed1ab_0 conda-forge autograd 1.6.2 pyhd8ed1ab_0 conda-forge bzip2 1.0.8 h4bc722e_7 conda-forge ca-certificates 2024.7.4 hbcca054_0 conda-forge comm 0.2.2 pyhd8ed1ab_0 conda-forge debugpy 1.8.2 py312h7070661_0 conda-forge decorator 5.1.1 pyhd8ed1ab_0 conda-forge exceptiongroup 1.2.2 pyhd8ed1ab_0 conda-forge executing 2.0.1 pyhd8ed1ab_0 conda-forge future 1.0.0 pyhd8ed1ab_0 conda-forge importlib-metadata 8.2.0 pyha770c72_0 conda-forge importlib_metadata 8.2.0 hd8ed1ab_0 conda-forge ipykernel 6.29.5 pyh3099207_0 conda-forge ipython 8.26.0 pyh707e725_0 conda-forge jedi 0.19.1 pyhd8ed1ab_0 conda-forge jupyter_client 8.6.2 pyhd8ed1ab_0 conda-forge jupyter_core 5.7.2 py312h7900ff3_0 conda-forge keyutils 1.6.1 h166bdaf_0 conda-forge krb5 1.21.3 h659f571_0 conda-forge ld_impl_linux-64 2.40 hf3520f5_7 conda-forge libblas 3.9.0 23_linux64_openblas conda-forge libcblas 3.9.0 23_linux64_openblas conda-forge libedit 3.1.20191231 he28a2e2_2 conda-forge libexpat 2.6.2 h59595ed_0 conda-forge libffi 3.4.2 h7f98852_5 conda-forge libgcc-ng 14.1.0 h77fa898_0 conda-forge libgfortran-ng 14.1.0 h69a702a_0 conda-forge libgfortran5 14.1.0 hc5f4f2c_0 conda-forge libgomp 14.1.0 h77fa898_0 conda-forge liblapack 3.9.0 23_linux64_openblas conda-forge libnsl 2.0.1 hd590300_0 conda-forge libopenblas 0.3.27 pthreads_hac2b453_1 conda-forge libsodium 1.0.18 h36c2ea0_1 conda-forge libsqlite 3.46.0 hde9e2c9_0 conda-forge libstdcxx-ng 14.1.0 hc0a3c3a_0 conda-forge libuuid 2.38.1 h0b41bf4_0 conda-forge libxcrypt 4.4.36 hd590300_1 conda-forge libzlib 1.3.1 h4ab18f5_1 conda-forge matplotlib-inline 0.1.7 pyhd8ed1ab_0 conda-forge ncurses 6.5 h59595ed_0 conda-forge nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge numpy 2.0.1 py312h1103770_0 conda-forge openssl 3.3.1 h4bc722e_2 conda-forge packaging 24.1 pyhd8ed1ab_0 conda-forge parso 0.8.4 pyhd8ed1ab_0 conda-forge pexpect 4.9.0 pyhd8ed1ab_0 conda-forge pickleshare 0.7.5 py_1003 conda-forge pip 24.0 pyhd8ed1ab_0 conda-forge platformdirs 4.2.2 pyhd8ed1ab_0 conda-forge prompt-toolkit 3.0.47 pyha770c72_0 conda-forge psutil 6.0.0 py312h9a8786e_0 conda-forge ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge pure_eval 0.2.3 pyhd8ed1ab_0 conda-forge pygments 2.18.0 pyhd8ed1ab_0 conda-forge python 3.12.4 h194c7f8_0_cpython conda-forge python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge python_abi 3.12 4_cp312 conda-forge pyzmq 26.0.3 py312h8fd38d8_0 conda-forge readline 8.2 h8228510_1 conda-forge scipy 1.14.0 py312hc2bc53b_1 conda-forge setuptools 71.0.4 pyhd8ed1ab_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge stack_data 0.6.2 pyhd8ed1ab_0 conda-forge tk 8.6.13 noxft_h4845f30_101 conda-forge tornado 6.4.1 py312h9a8786e_0 conda-forge traitlets 5.14.3 pyhd8ed1ab_0 conda-forge typing_extensions 4.12.2 pyha770c72_0 conda-forge tzdata 2024a h0c530f3_0 conda-forge wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge wheel 0.43.0 pyhd8ed1ab_1 conda-forge xz 5.2.6 h166bdaf_0 conda-forge zeromq 4.3.5 h75354e8_4 conda-forge zipp 3.19.2 pyhd8ed1ab_0 conda-forge
fjosw commented 3 months ago

Hey @Garren-H, autograd is currently not compatible with the recent numpy 2 release. We are working towards a new, numpy 2 compatible, version, see https://github.com/HIPS/autograd/pull/618. If you want to use autograd before that, you could downgrade numpy to a version <2.0.

Garren-H commented 3 months ago

Thank you for the response. This worked.