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planemo upload for repository https://github.com/galaxycomputationalchemistry/galaxy-tools-compchem/tree/master/tools/biobb_pytorch commit 891dd7da50f0a362969b9fb1cf8db9171b04f78a
author | chemteam |
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date | Thu, 05 Dec 2024 17:20:02 +0000 |
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<tool id="biobb_pytorch_apply_mdae" name="ApplyMdae" version="@TOOL_VERSION@" profile="22.05"> <description>Apply a Molecular Dynamics AutoEncoder (MDAE) PyTorch model.</description> <macros> <token name="@TOOL_VERSION@">4.2.1</token> </macros> <requirements> <requirement type="package" version="@TOOL_VERSION@">biobb_pytorch</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ ln -s '$input_data_npy_path' ./input_data_npy_path.$input_data_npy_path.ext && ln -s '$input_model_pth_path' ./input_model_pth_path.pth && #if $config_json: ln -s '$config_json' ./config_json.$config_json.ext && #end if apply_mdae #if $config_json: --config ./config_json.$config_json.ext #end if --input_data_npy_path ./input_data_npy_path.$input_data_npy_path.ext --input_model_pth_path ./input_model_pth_path.pth #if $output_latent_space_npy_path: --output_latent_space_npy_path ./output_latent_space_npy_path.npy #end if --output_reconstructed_data_npy_path ./output_reconstructed_data_npy_path.npy ; ]]> </command> <inputs> <param name="input_data_npy_path" type="data" format="npy" optional="False" label="Input NPY file" help="Input data file"/> <param name="input_model_pth_path" type="data" format="pth" optional="False" label="Input PTH file" help="Input model file"/> <param name="config_json" type="data" format="json" optional="True" label="Configuration file" help="File containing tool settings"/> </inputs> <outputs> <data format="npy" name="output_reconstructed_data_npy_path" from_work_dir="output_reconstructed_data_npy_path.npy" label="output_reconstructed_data_npy_path" /> <data format="npy" name="output_latent_space_npy_path" from_work_dir="output_latent_space_npy_path.npy" label="output_latent_space_npy_path" /> </outputs> <tests> <test> <param name="config_json" value="config_apply_mdae.json" ftype="json" /> <param name="input_data_npy_path" value="train_mdae_traj.npy" ftype="npy" /> <param name="input_model_pth_path" value="ref_output_model.pth" /> <output name="output_reconstructed_data_npy_path" ftype="npy"> <assert_contents> <has_size value="123k" delta="50k"/> </assert_contents> </output> <output name="output_latent_space_npy_path" ftype="npy"> <assert_contents> <has_size value="928" delta="200"/> </assert_contents> </output> </test> </tests> <help> .. class:: infomark Check the syntax for the tool parameters at the original library documentation: https://biobb-pytorch.readthedocs.io/en/latest </help> <citations> <citation type="bibtex"> @misc{githubbiobb, author = {Andrio P, Bayarri, G., Hospital A, Gelpi JL}, year = {2019-21}, title = {biobb: BioExcel building blocks }, publisher = {GitHub}, journal = {GitHub repository}, url = {https://github.com/bioexcel/biobb_pytorch}, } </citation> <citation type="doi">10.1038/s41597-019-0177-4</citation> </citations> </tool>