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b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt @@ -1,17 +1,17 @@ -2024-05-13 01:51:15 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem +2024-05-13 17:26:01 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. warnings.warn( -2024-05-13 01:51:17 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. -2024-05-13 01:51:17 (INFO): amp: true +2024-05-13 17:26:03 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. +2024-05-13 17:26:03 (INFO): amp: true cmd: - checkpoint_dir: fine-tuning/checkpoints/2024-05-13-01-50-56-ft-oxides - commit: 06869ab + checkpoint_dir: fine-tuning/checkpoints/2024-05-13-17-25-20-ft-oxides + commit: db148bb identifier: ft-oxides - logs_dir: fine-tuning/logs/tensorboard/2024-05-13-01-50-56-ft-oxides + logs_dir: fine-tuning/logs/tensorboard/2024-05-13-17-25-20-ft-oxides print_every: 10 - results_dir: fine-tuning/results/2024-05-13-01-50-56-ft-oxides + results_dir: fine-tuning/results/2024-05-13-17-25-20-ft-oxides seed: 0 - timestamp_id: 2024-05-13-01-50-56-ft-oxides + timestamp_id: 2024-05-13-17-25-20-ft-oxides dataset: a2g_args: r_energy: true @@ -142,34 +142,34 @@ val_dataset: r_forces: true src: val.db -2024-05-13 01:51:17 (INFO): Loading dataset: ase_db -2024-05-13 01:51:17 (INFO): rank: 0: Sampler created... -2024-05-13 01:51:17 (INFO): Batch balancing is disabled for single GPU training. -2024-05-13 01:51:17 (INFO): rank: 0: Sampler created... -2024-05-13 01:51:17 (INFO): Batch balancing is disabled for single GPU training. -2024-05-13 01:51:17 (INFO): rank: 0: Sampler created... -2024-05-13 01:51:17 (INFO): Batch balancing is disabled for single GPU training. -2024-05-13 01:51:17 (INFO): Loading model: gemnet_oc -2024-05-13 01:51:17 (WARNING): Unrecognized arguments: ['symmetric_edge_symmetrization'] -2024-05-13 01:51:19 (INFO): Loaded GemNetOC with 38864438 parameters. -2024-05-13 01:51:19 (WARNING): Model gradient logging to tensorboard not yet supported. -2024-05-13 01:51:19 (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated. -2024-05-13 01:51:20 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gnoc_oc22_oc20_all_s2ef.pt -2024-05-13 01:51:20 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. +2024-05-13 17:26:03 (INFO): Loading dataset: ase_db +2024-05-13 17:26:03 (INFO): rank: 0: Sampler created... +2024-05-13 17:26:03 (INFO): Batch balancing is disabled for single GPU training. +2024-05-13 17:26:03 (INFO): rank: 0: Sampler created... +2024-05-13 17:26:03 (INFO): Batch balancing is disabled for single GPU training. +2024-05-13 17:26:03 (INFO): rank: 0: Sampler created... +2024-05-13 17:26:03 (INFO): Batch balancing is disabled for single GPU training. +2024-05-13 17:26:03 (INFO): Loading model: gemnet_oc +2024-05-13 17:26:03 (WARNING): Unrecognized arguments: ['symmetric_edge_symmetrization'] +2024-05-13 17:26:06 (INFO): Loaded GemNetOC with 38864438 parameters. +2024-05-13 17:26:06 (WARNING): Model gradient logging to tensorboard not yet supported. +2024-05-13 17:26:06 (WARNING): Using `weight_decay` from `optim` instead of `optim.optimizer_params`.Please update your config to use `optim.optimizer_params.weight_decay`.`optim.weight_decay` will soon be deprecated. +2024-05-13 17:26:06 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gnoc_oc22_oc20_all_s2ef.pt +2024-05-13 17:26:06 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() storage = elem.storage()._new_shared(numel) /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch_geometric/data/collate.py:145: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() storage = elem.storage()._new_shared(numel) /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/amp/autocast_mode.py:250: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling warnings.warn( -2024-05-13 01:51:43 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.77e+00, forcesx_mae: 4.11e-02, forcesy_mae: 3.63e-02, forcesz_mae: 5.26e-02, forces_mae: 4.33e-02, forces_cosine_similarity: 8.24e-02, forces_magnitude_error: 7.42e-02, loss: 6.86e+00, lr: 5.00e-04, epoch: 1.69e-01, step: 1.00e+01 -2024-05-13 01:51:44 (INFO): Evaluating on val. +2024-05-13 17:26:29 (INFO): energy_forces_within_threshold: 0.00e+00, energy_mae: 6.77e+00, forcesx_mae: 4.11e-02, forcesy_mae: 3.63e-02, forcesz_mae: 5.26e-02, forces_mae: 4.33e-02, forces_cosine_similarity: 8.24e-02, forces_magnitude_error: 7.42e-02, loss: 6.86e+00, lr: 5.00e-04, epoch: 1.69e-01, step: 1.00e+01 +2024-05-13 17:26:29 (INFO): Evaluating on val. device 0: 0%| | 0/2 [00:00 main() diff --git a/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt index b98e7a9f5..9e70df92c 100644 --- a/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt +++ b/_downloads/819e10305ddd6839cd7da05935b17060/mass-inference.txt @@ -1,17 +1,17 @@ -2024-05-13 01:54:07 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem +2024-05-13 17:28:47 (INFO): Project root: /home/runner/work/fairchem/fairchem/src/fairchem /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. warnings.warn( -2024-05-13 01:54:08 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. -2024-05-13 01:54:08 (INFO): amp: true +2024-05-13 17:28:48 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. +2024-05-13 17:28:48 (INFO): amp: true cmd: - checkpoint_dir: ./checkpoints/2024-05-13-01-55-12 - commit: 06869ab + checkpoint_dir: ./checkpoints/2024-05-13-17-29-36 + commit: db148bb identifier: '' - logs_dir: ./logs/tensorboard/2024-05-13-01-55-12 + logs_dir: ./logs/tensorboard/2024-05-13-17-29-36 print_every: 10 - results_dir: ./results/2024-05-13-01-55-12 + results_dir: ./results/2024-05-13-17-29-36 seed: 0 - timestamp_id: 2024-05-13-01-55-12 + timestamp_id: 2024-05-13-17-29-36 dataset: a2g_args: r_energy: false @@ -121,25 +121,25 @@ test_dataset: trainer: ocp val_dataset: null -2024-05-13 01:54:08 (INFO): Loading dataset: ase_db -2024-05-13 01:54:08 (INFO): rank: 0: Sampler created... -2024-05-13 01:54:08 (INFO): Batch balancing is disabled for single GPU training. -2024-05-13 01:54:08 (INFO): rank: 0: Sampler created... -2024-05-13 01:54:08 (INFO): Batch balancing is disabled for single GPU training. -2024-05-13 01:54:08 (INFO): Loading model: gemnet_t -2024-05-13 01:54:10 (INFO): Loaded GemNetT with 31671825 parameters. -2024-05-13 01:54:10 (WARNING): Model gradient logging to tensorboard not yet supported. -2024-05-13 01:54:10 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt -2024-05-13 01:54:11 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. -2024-05-13 01:54:11 (WARNING): Scale factor comment not found in model -2024-05-13 01:54:11 (INFO): Predicting on test. +2024-05-13 17:28:48 (INFO): Loading dataset: ase_db +2024-05-13 17:28:48 (INFO): rank: 0: Sampler created... +2024-05-13 17:28:48 (INFO): Batch balancing is disabled for single GPU training. +2024-05-13 17:28:48 (INFO): rank: 0: Sampler created... +2024-05-13 17:28:48 (INFO): Batch balancing is disabled for single GPU training. +2024-05-13 17:28:48 (INFO): Loading model: gemnet_t +2024-05-13 17:28:50 (INFO): Loaded GemNetT with 31671825 parameters. +2024-05-13 17:28:50 (WARNING): Model gradient logging to tensorboard not yet supported. +2024-05-13 17:28:50 (INFO): Loading checkpoint from: /tmp/ocp_checkpoints/gndt_oc22_all_s2ef.pt +2024-05-13 17:28:50 (INFO): Overwriting scaling factors with those loaded from checkpoint. If you're generating predictions with a pretrained checkpoint, this is the correct behavior. To disable this, delete `scale_dict` from the checkpoint. +2024-05-13 17:28:50 (WARNING): Scale factor comment not found in model +2024-05-13 17:28:50 (INFO): Predicting on test. device 0: 0%| | 0/3 [00:006A9j*4jCBJ1=}c^~cHIR`2@dc-idy*YbHSrH1vn+kXF& zL~W8De_|9eSFw(7_ zU08liWa+EIUw*;$lZVHe)mWp&$L8NEmMwj??+0(L$Mc<>oYGNpp?;yEpgnlO+qCCaH`9-Z($IWmJJaR(i;b++^r-R8TepI=vEFPq+!p2>d=F^W z_Z@t&w#$)*W@ka)lkQCwB7flZBB)1NT3cH?OmO{r4}yc^fBdkbiZ0LGPo7w)aKBP}2CnY5{cG7W(i;Hup#s|m-3x}Cf5=)z#oBMq5vCSf)qRM&Ktz5aX zw4|h@&zg3F?-m-G7CIy6&W$tcX=vzv4QB5a##II!__fytO!^6XhSFdIrw*CIhj#}TC zKA&yVU7KO9dGqE?4GPO)+i0Ihj}lzB95{bzuJc=0S7eGod8}@M+hLoodvStmU&c=E(h?ULQs!ex6|SsPwmyM8^PJWees@y3l`=Ej>X&u3YMsV1C%u|L$M z`t2QTVT(N#Bf}rU3&q#a3|N(Tv#34VCqu`;5FMiw6>In*P)bgY(pwiNaOwST{jCKH zk@{KL+4zxcpzxLF*REZ&o&2G@epR&j7 z;b(R@o?N??o9kIG*33e`V#H#NQN^;O%eIMLeTg%cVevWE;&V=nb!S2)sFT5+H%{E$A5lG zuDLXj_32@|Jl82}o8Gc0Yzfn`-nzebKaCAvRjxrWPSwh-9~fB)VrOiNk$vD;MVR_fel)*hq%PfJ%_s)=tLi?Y_> 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a/_sources/autoapi/ocpneb/core/autoframe/index.rst +++ b/_sources/autoapi/ocpneb/core/autoframe/index.rst @@ -115,7 +115,7 @@ Functions -.. py:class:: AutoFrameDissociation(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, reactant_system: ase.Atoms, product1_systems: list, product1_energies: list, product2_systems: list, product2_energies: list, r_product1_max: float = None, r_product2_max: float = None, r_product2_min: float = None) +.. py:class:: AutoFrameDissociation(reaction: ocpneb.core.Reaction, reactant_system: ase.Atoms, product1_systems: list, product1_energies: list, product2_systems: list, product2_energies: list, r_product1_max: float = None, r_product2_max: float = None, r_product2_min: float = None) Bases: :py:obj:`AutoFrame` @@ -213,7 +213,7 @@ Functions -.. py:class:: AutoFrameTransfer(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, reactant1_systems: list, reactant2_systems: list, reactant1_energies: list, reactant2_energies: list, product1_systems: list, product1_energies: list, product2_systems: list, product2_energies: list, r_traverse_max: float, r_react_max: float, r_react_min: float) +.. py:class:: AutoFrameTransfer(reaction: ocpneb.core.Reaction, reactant1_systems: list, reactant2_systems: list, reactant1_energies: list, reactant2_energies: list, product1_systems: list, product1_energies: list, product2_systems: list, product2_energies: list, r_traverse_max: float, r_react_max: float, r_react_min: float) Bases: :py:obj:`AutoFrame` @@ -270,7 +270,7 @@ Functions -.. py:class:: AutoFrameDesorption(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, reactant_systems: list, reactant_energies: list, z_desorption: float) +.. py:class:: AutoFrameDesorption(reaction: ocpneb.core.Reaction, reactant_systems: list, reactant_energies: list, z_desorption: float) Bases: :py:obj:`AutoFrame` @@ -303,7 +303,7 @@ Functions -.. py:function:: interpolate_and_correct_frames(initial: ase.Atoms, final: ase.Atoms, n_frames: int, reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, map_idx: int) +.. py:function:: interpolate_and_correct_frames(initial: ase.Atoms, final: ase.Atoms, n_frames: int, reaction: ocpneb.core.Reaction, map_idx: int) Given the initial and final frames, perform the following: (1) Unwrap the final frame if it is wrapped around the cell @@ -316,7 +316,7 @@ Functions :param n_frames: The desired number of frames for the NEB (not including initial and final) :type n_frames: int :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param map_idx: the index of the mapping to use for the final frame :type map_idx: int @@ -338,7 +338,7 @@ Functions :rtype: (ase.Atoms) -.. py:function:: traverse_adsorbate_transfer(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms, edge_list_final: list) +.. py:function:: traverse_adsorbate_transfer(reaction: ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms, edge_list_final: list) Traverse reactant 1, reactant 2, product 1 and product 2 in a depth first search of the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures @@ -346,7 +346,7 @@ Functions and avoids accidental bond breaking events over pbc. :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param initial: the initial frame of the NEB :type initial: ase.Atoms :param final: the proposed final frame of the NEB to be corrected @@ -364,7 +364,7 @@ Functions :rtype: (ase.Atoms) -.. py:function:: traverse_adsorbate_dissociation(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms, edge_list_final: int) +.. py:function:: traverse_adsorbate_dissociation(reaction: ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms, edge_list_final: int) Traverse reactant 1, product 1 and product 2 in a depth first search of the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures @@ -372,7 +372,7 @@ Functions and avoids accidental bond breaking events over pbc. :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param initial: the initial frame of the NEB :type initial: ase.Atoms :param final: the proposed final frame of the NEB to be corrected @@ -390,7 +390,7 @@ Functions :rtype: (ase.Atoms) -.. py:function:: traverse_adsorbate_desorption(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms) +.. py:function:: traverse_adsorbate_desorption(reaction: ocpneb.core.Reaction, initial: ase.Atoms, final: ase.Atoms, initial_tiled: ase.Atoms, final_tiled: ase.Atoms) Traverse reactant 1 and product 1 in a depth first search of the bond graph. Unwrap the atoms to minimize the distance over the bonds. This ensures @@ -398,7 +398,7 @@ Functions and avoids accidental bond breaking events over pbc. :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param initial: the initial frame of the NEB :type initial: ase.Atoms :param final: the proposed final frame of the NEB to be corrected @@ -416,14 +416,14 @@ Functions :rtype: (ase.Atoms) -.. py:function:: get_product2_idx(reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, edge_list_final: list, traversal_rxt1_final: list) +.. py:function:: get_product2_idx(reaction: ocpneb.core.Reaction, edge_list_final: list, traversal_rxt1_final: list) For dissociation only. Use the information about the initial edge list and final edge list to determine which atom in product 2 lost a bond in the reaction and use this as the binding index for traversal in `traverse_adsorbate_dissociation`. :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param edge_list_final: the edge list of the final frame corrected with mapping idx changes :type edge_list_final: list @@ -459,7 +459,7 @@ Functions :rtype: (ase.Atoms) -.. py:function:: unwrap_atoms(initial: ase.Atoms, final: ase.Atoms, reaction: fairchem.applications.CatTSunami.ocpneb.core.Reaction, map_idx: int) +.. py:function:: unwrap_atoms(initial: ase.Atoms, final: ase.Atoms, reaction: ocpneb.core.Reaction, map_idx: int) Make corrections to the final frame so it is no longer wrapped around the cell, if it has jumpped over the pbc. Ensure that for each adsorbate moity, absolute bond distances @@ -473,7 +473,7 @@ Functions :param final: the final atoms object to be corrected :type final: ase.Atoms :param reaction: the reaction object which provides pertinent info - :type reaction: Reaction + :type reaction: ocpneb.core.Reaction :param map_idx: the index of the mapping to use for the final frame :type map_idx: int diff --git a/_sources/autoapi/ocpneb/index.rst b/_sources/autoapi/ocpneb/index.rst deleted file mode 100644 index 1b7f58e18..000000000 --- a/_sources/autoapi/ocpneb/index.rst +++ /dev/null @@ -1,16 +0,0 @@ -:py:mod:`ocpneb` -================ - -.. py:module:: ocpneb - - -Subpackages ------------ -.. toctree:: - :titlesonly: - :maxdepth: 3 - - core/index.rst - databases/index.rst - - diff --git a/_sources/index.md b/_sources/index.md index 9c451395c..7bb4ffef9 100644 --- a/_sources/index.md +++ b/_sources/index.md @@ -17,10 +17,10 @@ this repo: * [Open Catalyst Project (OCP)](https://opencatalystproject.org/) * [Open Direct Air Capture (OpenDAC)](https://open-dac.github.io/) -```{note} +:::{note} We re-organized and rebranded the repository in 2024 (previously the `fairchem` repo) to reflect the increasingly general usability of these models beyond catalysis, including things like direct air capture. -``` +::: ### Datasets in `fairchem`: `fairchem` provides training and evaluation code for tasks and models that take arbitrary diff --git a/_sources/tutorials/cattsunami_walkthrough.md b/_sources/tutorials/cattsunami_walkthrough.md index 6a2a0ce17..625faa2a1 100644 --- a/_sources/tutorials/cattsunami_walkthrough.md +++ b/_sources/tutorials/cattsunami_walkthrough.md @@ -14,24 +14,24 @@ kernelspec: # CatTSunami tutorial ```{code-cell} ipython3 -from fairchem.applications.ocpneb.core.reaction import Reaction +from ocpneb.core.reaction import Reaction from fairchem.data.oc.core import Slab, Adsorbate, Bulk, AdsorbateSlabConfig from fairchem.core.common.relaxation.ase_utils import OCPCalculator from ase.optimize import BFGS from x3dase.visualize import view_x3d_n from ase.io import read from x3dase.x3d import X3D -from fairchem.applications.ocpneb.databases import DISSOCIATION_REACTION_DB_PATH +from ocpneb.databases import DISSOCIATION_REACTION_DB_PATH from fairchem.data.oc.databases.pkls import ADSORBATES_PKL_PATH, BULK_PKL_PATH from fairchem.core.models.model_registry import model_name_to_local_file import matplotlib.pyplot as plt -from fairchem.applications.ocpneb.core.autoframe import AutoFrameDissociation -from fairchem.applications.ocpneb.core import OCPNEB +from ocpneb.core.autoframe import AutoFrameDissociation +from ocpneb.core import OCPNEB from ase.io import read #Optional from IPython.display import Image -from x3dase.x3d import X3D +from x3dase.x3d import X3D ``` ## Do enumerations in an AdsorbML style for CH dissociation on Ru (001) @@ -81,7 +81,7 @@ calc = OCPCalculator(checkpoint_path = CHECKPOINT_PATH, cpu = cpu) There are 2 options for how to do this. 1. Using `OCPCalculator` as the calculator within the ASE framework 2. By writing objects to lmdb and relaxing them using `main.py` in the ocp repo - + (1) is really only adequate for small stuff and it is what I will show here, but if you plan to run many relaxations, you should definitely use (2). More details about writing lmdbs has been provided [here](https://github.com/Open-Catalyst-Project/ocp/blob/main/tutorials/lmdb_dataset_creation.ipynb) - follow the IS2RS/IS2RE instructions. And more information about running relaxations once the lmdb has been written is [here](https://github.com/Open-Catalyst-Project/ocp/blob/main/TRAIN.md#initial-structure-to-relaxed-structure-is2rs). You need to provide the calculator with a path to a model checkpoint file. That can be downloaded [here](../core/model_checkpoints) @@ -170,7 +170,7 @@ Here we use the custom child class we created to run NEB relaxations using ML. T # conv = optimizer.run(fmax=fmax, steps=300) # if conv: # converged_idxs.append(idx) - + # print(converged_idxs) ``` diff --git a/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html b/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html index b50aaa1e0..8b73503e7 100644 --- a/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html +++ b/autoapi/adsorbml/2023_neurips_challenge/challenge_eval/index.html @@ -384,24 +384,14 @@
  • -
  • ocpneb -
  • -
  • ocpapi
  • data.om