From 1e75e361b0d5ebbbc9b5cf072625da55968d00e5 Mon Sep 17 00:00:00 2001 From: Han Yang Date: Wed, 27 Nov 2024 16:45:15 +0800 Subject: [PATCH] update github workflows and update installation instruction in readme (#21) * update github workflows and update installation instruction in readme * update ubuntu runner versions * update the minimal test in readme * run workflows on multiple ubuntu versions * only test on latest ubuntu * update installation instruction * update pyproject * update mattersim banner * update mattersim banner --------- Co-authored-by: Han Yang --- README.md | 21 +++++++++++++-------- docs/_static/mattersim-banner.jpg | Bin 62552 -> 0 bytes docs/_static/mattersim-banner.png | Bin 0 -> 335527 bytes pyproject.toml | 2 +- 4 files changed, 14 insertions(+), 9 deletions(-) delete mode 100644 docs/_static/mattersim-banner.jpg create mode 100644 docs/_static/mattersim-banner.png diff --git a/README.md b/README.md index a9702d5..fbd212c 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@

- MatterSim logo + MatterSim logo

@@ -18,13 +18,13 @@ MatterSim is a deep learning atomistic model across elements, temperatures and p ## Installation ### Install from source code -Requirements: -- Python == 3.9 +> [!WARNING] +> We strongly recommend that users install MatterSim using [mamba or micromamba](https://mamba.readthedocs.io/en/latest/index.html), because *conda* can be significantly slower when resolving the dependencies in environment.yaml. To install the package, run the following command under the root of the folder: ```bash -conda env create -f environment.yaml -conda activate mattersim +mamba env create -f environment.yaml +mamba activate mattersim pip install -e . python setup.py build_ext --inplace ``` @@ -32,13 +32,18 @@ python setup.py build_ext --inplace ## Usage ### A minimal test ```python +import torch +from ase.build import bulk from mattersim.forcefield.potential import Potential from mattersim.datasets.utils.build import build_dataloader -potential = Potential.load(load_path="/path/to/checkpoint", device="cuda:0") -from ase.build import bulk +device = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu" +print(f"Running MatterSim on {device}") + +potential = Potential.load(load_path="pretrained_models/mattersim-v1.0.0-1M.pth", device=device) si = bulk("Si", "diamond", a=5.43) -dataloader = build_dataloader([si], only_inference=True, model_type=model_name) +dataloader = build_dataloader([si], only_inference=True) + predictions = potential.predict_properties(dataloader, include_forces=True, include_stresses=True) print(predictions) ``` diff --git a/docs/_static/mattersim-banner.jpg b/docs/_static/mattersim-banner.jpg deleted file mode 100644 index 56640cf1834fbce4998d66510836c790c3be264a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 62552 zcmeFa1yoht)-b%!Idr#lN(df88U#^Vy1PrHyF*lvE&-Jg>5!CCNhxVb=@gKXP65At z&_{jld+&Y!|9hT0#y`e?*TBu(Yt347%{kXxdvEpI=(jmQQPR`e5&#qw09F71&;S^O z96$yk2>9n3gyJVG1YrSS7yVH1if9<8fdIga_wzT{^=$(XQ@-Qi>fmz6!I74mof8na zC98mhfIg=%lH#;3AkuG4LGWPYVn)CqTt=Ce z_RnMg>m9zCqq8e$5@isR+uXv%41^zmu&sxyBcgu`go#XT5HJ)80Xu^Vf-orpw)zfV zy}fhJ9~2w2cfg0xt%!zZUNy(?rs(!43h`pV0UW^4-g&#;mfvecGe(#1j0mi z7A7tLfP{tUceOCP1HzmjjODDZDh|Te!G*-K`VBVy4R*Eg1oZ>}aR)~)XKSlFuCy#> zS7^Be1qEnjEIe#2TwUSHCT2D!&gQh@4t9c3m|uOSPXVC%Apnq$|LVJ( z4gk0h0HCVxxA~AD{N;|TtD_JHhlhs;yS0TGJHntp+y9F26Z2mKzsX}q$opwKS_unF 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