diff --git a/deepof_experiments.smk b/deepof_experiments.smk index 539a38ddf2bec207a07759ad16594ede5e02de2c..430ae3daf7319d2bff5bb9543113696ca8feafa9 100644 --- a/deepof_experiments.smk +++ b/deepof_experiments.smk @@ -11,7 +11,9 @@ Plot rule graph: snakemake --snakefile deepof_experiments.smk --forceall --ruleg """ +import os +outpath = "/u/lucasmir/DLC/DLC_autoencoders/DeepOF/deepof/logs/" losses = ["ELBO", "MMD", "ELBO+MMD"] encodings = [2, 4, 6, 8, 12, 16] @@ -19,7 +21,7 @@ encodings = [2, 4, 6, 8, 12, 16] rule deepof_experiments: input: expand( - "/u/lucasmir/DLC/DLC_autoencoders/DeepOF/deepof/GMVAE_loss={loss}_encoding={encs}_final_weights.h5", + "/u/lucasmir/DLC/DLC_autoencoders/DeepOF/deepof/logs/dimension_and_loss_experiments/trained_weights/GMVAE_loss={loss}_encoding={encs}_final_weights.h5", loss=losses, encs=encodings, ), @@ -29,9 +31,14 @@ rule explore_encoding_dimension_and_loss_function: input: data_path="/u/lucasmir/DLC/DLC_models/deepof_single_topview/", output: - trained_models="/u/lucasmir/DLC/DLC_autoencoders/DeepOF/deepof/GMVAE_loss={loss}_encoding={encs}_final_weights.h5", + trained_models=os.path.join( + outpath, + "dimension_and_loss_experiments/trained_weights/GMVAE_loss={loss}_encoding={encs}_final_weights.h5", + ), shell: - "pipenv run python -m deepof.train_model --train-path {input.data_path} --val-num 10 --components 10 --input-type coords --predictor 0 --variational True --loss {wildcards.loss} --kl-warmup 20 --mmd-warmup 20 --encoding-size {wildcards.encs} --batch-size 256 --window-size 11 --window-step 11 --exclude-bodyparts Tail_base,Tail_1,Tail_2,Tail_tip,Spine_2 --stability-check 3" + "pipenv run python -m deepof.train_model --train-path {input.data_path} --val-num 10 --components 10 --input-type coords --predictor 0 --variational True --loss {wildcards.loss} --kl-warmup 20 --mmd-warmup 20 --encoding-size {wildcards.encs} --batch-size 256 --window-size 11 --window-step 11 --exclude-bodyparts Tail_base,Tail_1,Tail_2,Tail_tip,Spine_2 --stability-check 3 --out-path {}/dimension_and_loss_experiments/trained_weights".format( + outpath + ) # rule explore_number_of_components: