From c3da7f44016759f9b1840abc013d946c9c9fae60 Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Thu, 7 Mar 2024 20:15:44 +0100 Subject: [PATCH 1/7] Review submission cleanup and readme --- 001_adversary.sh | 63 -- 002_bipedalwaker.sh | 53 -- 003_lunarlander.sh | 59 -- LICENSE | 2 +- README.md | 52 +- eval_jobs.sh | 78 -- notebooks/001_cartpole_initial_analysis.ipynb | 661 ---------------- notebooks/scratch.ipynb | 125 --- notebooks/yolo.ipynb | 714 ------------------ record_latents.sh | 52 -- schedule_dreams.sh | 4 +- schedule_specific_jobs_cartpole.sh | 12 +- schedule_specific_jobs_walker.sh | 15 +- scripts/test_env.py | 0 single_job.sh | 58 -- train_jobs.sh | 7 +- walker_500k.sh | 75 -- 17 files changed, 67 insertions(+), 1963 deletions(-) delete mode 100644 001_adversary.sh delete mode 100644 002_bipedalwaker.sh delete mode 100644 003_lunarlander.sh delete mode 100644 eval_jobs.sh delete mode 100644 notebooks/001_cartpole_initial_analysis.ipynb delete mode 100644 notebooks/scratch.ipynb delete mode 100644 notebooks/yolo.ipynb delete mode 100644 record_latents.sh create mode 100644 scripts/test_env.py delete mode 100755 single_job.sh delete mode 100644 walker_500k.sh diff --git a/001_adversary.sh b/001_adversary.sh deleted file mode 100644 index 61f1a82..0000000 --- a/001_adversary.sh +++ /dev/null @@ -1,63 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-119 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_vayuu -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_dmc_walker" "carl_classic_cartpole") -seeds=("0" "42" "1337" "13" "71" "1994" "1997" "908" "2102" "3") -schemes=("enc_img_dec_img_pgm_ctx_adv" "enc_obs_dec_obs_pgm_ctx_adv") -contexts=("single_0" "single_1" "double_box") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} - -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - -if [ "$scheme" == "enc_obs_dec_obs_default" ]; then - scheme="enc_obs_dec_obs" - context="default" -fi - -group_name="${task}_${context}_${scheme}_normalized" - -if [ "$task" == "carl_dmc_walker" ]; then - steps=100000 -else - steps=50000 -fi - -python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 0 --run.steps $steps --wandb.project "" -python -m contextual_mbrl.dreamer.eval --logdir logs/$group_name/$seed -python -m contextual_mbrl.dreamer.record_latents --logdir logs/$group_name/$seed - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/002_bipedalwaker.sh b/002_bipedalwaker.sh deleted file mode 100644 index 144ea50..0000000 --- a/002_bipedalwaker.sh +++ /dev/null @@ -1,53 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-4 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_indra -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_box2d_bipedal_walker") -seeds=("0" "42" "1337" "13" "71") -schemes=("enc_img_ctx_dec_img_ctx") -contexts=("double_box") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} - -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - -group_name="${task}_${context}_${scheme}_normalized" - - -python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 0 --run.steps 500000 --wandb.project "" -python -m contextual_mbrl.dreamer.eval --logdir logs/$group_name/$seed -python -m contextual_mbrl.dreamer.record_latents --logdir logs/$group_name/$seed - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/003_lunarlander.sh b/003_lunarlander.sh deleted file mode 100644 index f5a559e..0000000 --- a/003_lunarlander.sh +++ /dev/null @@ -1,59 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-24 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_agni -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_box2d_lunar_lander") -seeds=("0" "42" "1337" "13" "71") -schemes=("enc_obs_dec_obs_default" "enc_obs_dec_obs" "enc_obs_ctx_dec_obs_ctx" "enc_obs_dec_obs_pgm_ctx" "enc_obs_dec_obs_pgm_ctx_adv") -contexts=("double_box") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} - -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - -if [ "$scheme" == "enc_obs_dec_obs_default" ]; then - scheme="enc_obs_dec_obs" - context="default" -fi - - -group_name="${task}_${context}_${scheme}_normalized_250k" - - -python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 0 --run.steps 250000 --wandb.project "" -python -m contextual_mbrl.dreamer.eval --logdir logs/$group_name/$seed -python -m contextual_mbrl.dreamer.record_latents --logdir logs/$group_name/$seed - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/LICENSE b/LICENSE index d796090..e1fd273 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ MIT License -Copyright (c) 2023 Sai +Copyright (c) 2023 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/README.md b/README.md index c80556c..675c971 100644 --- a/README.md +++ b/README.md @@ -10,4 +10,54 @@ Install the recommended extensions when you open the project ### Conda -`conda create --name c_mbrl --file environment.yml` \ No newline at end of file +`conda env create --name c_mbrl --file environment.yml` + + +## Experiments + + +### All main experiments + +All our main experiments can be replicated by running `sbatch train_jobs.sh` with slurm. To replicate individual experiments, you have to select one for each of the 4 main options. +*Task*: `carl_classic_cartpole`/`carl_dmc_walker` +*Modality*: `img` for pixel modality and `obs` for featurized modality +*Method*: +`enc_{$modality}_dec_{$modality}_pgm_ctx` is the cRSSM setting +`enc_{$modality}_dec_{$modality}` is the hidden-context setting +`enc_{$modality}_ctx_dec_{$modality}_ctx` is the concat-context setting +*Training context*: +`default`: Only on default context (makes sense to pair only with the hidden-context setting) +`single_0`: vary the first context (gravity for cartpole and walker) +`single_0`: vary the second context (length for cartpole and actuator strength for walker) + +Then run the following with your preferred settings and seeds. +``` bash + +python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $training_context --seed $seed --logdir logs/$experiment_name/$seed --wandb.project '' --run.steps $steps +python -m contextual_mbrl.dreamer.eval --logdir logs/$experiment_name/$seed +``` + +### Dreams +The extrapolated and counterfactual dreams of the trained cartpole models can be obtained using `schedule_dreams.sh`. For individual recording of the dreams for a given context id (refer `envs.py` for context id to context mapping for different environments) for a given experiment run, +```bash +python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 +``` +Use the `counterfactual_ctx` flag to provide counterfactual value and record dreams in different true contexts conditioning on this counterfactual value. +```bash +python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 --counterfactual_ctx 1.0 +``` + +### Experts and random policy + +To train the experts, evaluate their mean returns and evaluate the models, run `schedule_specific_jobs_carpole/walker.sh`. + +An example to train cartpole export in gravity 17.64 and length 0.9 is +``` +python -m contextual_mbrl.dreamer.train --configs carl enc_obs_dec_obs --task carl_classic_cartpole --env.carl.context specific_0-17.64_1-0.9 --seed 0 --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 --wandb.project '' --run.steps 50000 +python -m contextual_mbrl.dreamer.eval --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 +python -m contextual_mbrl.dreamer.eval --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 --random_policy True +``` + +## Results + +The figures can be plotted from the evaluations for all experiments using the notebooks `plot_analysis.ipynb` and `plot_analysis_rliable.ipynb` \ No newline at end of file diff --git a/eval_jobs.sh b/eval_jobs.sh deleted file mode 100644 index 39fc65f..0000000 --- a/eval_jobs.sh +++ /dev/null @@ -1,78 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-44 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_eval_fin -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -folders=( - "logs/carl_dmc_walker_single_1_enc_obs_dec_obs_normalized/2102" - "logs/carl_dmc_walker_single_1_enc_obs_dec_obs_normalized/3" - "logs/carl_dmc_walker_single_0_enc_img_dec_img_normalized/908" - "logs/carl_dmc_walker_single_0_enc_img_dec_img_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_img_dec_img_normalized/3" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_normalized/908" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_normalized/2102" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_normalized/3" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_pgm_ctx_normalized/908" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_single_1_enc_img_dec_img_pgm_ctx_normalized/3" - "logs/carl_dmc_walker_single_1_enc_obs_dec_obs_pgm_ctx_normalized/908" - "logs/carl_dmc_walker_single_1_enc_obs_dec_obs_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_img_dec_img_pgm_ctx_normalized/13" - "logs/carl_dmc_walker_single_0_enc_img_dec_img_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_obs_dec_obs_pgm_ctx_normalized/1337" - "logs/carl_dmc_walker_double_box_enc_obs_dec_obs_pgm_ctx_normalized/908" - "logs/carl_dmc_walker_double_box_enc_obs_dec_obs_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_obs_dec_obs_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_obs_dec_obs_normalized/3" - "logs/carl_dmc_walker_double_box_enc_img_ctx_dec_img_ctx_normalized/908" - "logs/carl_dmc_walker_double_box_enc_img_ctx_dec_img_ctx_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_obs_ctx_dec_obs_ctx_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_obs_ctx_dec_obs_ctx_normalized/3" - "logs/carl_dmc_walker_single_0_enc_obs_dec_obs_pgm_ctx_normalized/908" - "logs/carl_dmc_walker_single_0_enc_obs_dec_obs_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_obs_dec_obs_pgm_ctx_normalized/3" - "logs/carl_dmc_walker_double_box_enc_img_dec_img_normalized/908" - "logs/carl_dmc_walker_double_box_enc_img_dec_img_normalized/2102" - "logs/carl_dmc_walker_double_box_enc_img_dec_img_normalized/3" - "logs/carl_dmc_walker_double_box_enc_img_dec_img_pgm_ctx_normalized/908" - "logs/carl_dmc_walker_double_box_enc_img_dec_img_pgm_ctx_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_obs_dec_obs_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_obs_dec_obs_normalized/3" - "logs/carl_dmc_walker_single_0_enc_obs_ctx_dec_obs_ctx_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_obs_ctx_dec_obs_ctx_normalized/3" - "logs/carl_dmc_walker_single_1_enc_obs_ctx_dec_obs_ctx_normalized/2102" - "logs/carl_dmc_walker_single_1_enc_obs_ctx_dec_obs_ctx_normalized/3" - "logs/carl_dmc_walker_single_0_enc_img_ctx_dec_img_ctx_normalized/42" - "logs/carl_dmc_walker_single_0_enc_img_ctx_dec_img_ctx_normalized/908" - "logs/carl_dmc_walker_single_0_enc_img_ctx_dec_img_ctx_normalized/2102" - "logs/carl_dmc_walker_single_0_enc_img_ctx_dec_img_ctx_normalized/3" - "logs/carl_dmc_walker_single_1_enc_img_ctx_dec_img_ctx_normalized/908" - "logs/carl_dmc_walker_single_1_enc_img_ctx_dec_img_ctx_normalized/2102" - "logs/carl_dmc_walker_single_1_enc_img_ctx_dec_img_ctx_normalized/3" -) - -folder = ${folders[${SLURM_ARRAY_TASK_ID}]} - -python -m contextual_mbrl.dreamer.eval --logdir $folder --jax.policy_devices 0 --jax.train_devices 0 - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/notebooks/001_cartpole_initial_analysis.ipynb b/notebooks/001_cartpole_initial_analysis.ipynb deleted file mode 100644 index d68fe3a..0000000 --- a/notebooks/001_cartpole_initial_analysis.ipynb +++ /dev/null @@ -1,661 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import json\n", - "import sys\n", - "import os\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import argparse\n", - "from scipy.stats import sem\n", - "from pathlib import Path\n", - "\n", - "logdir = Path(\"../logs\") \n", - "\n", - "\n", - "for exp_path in logdir.iterdir():\n", - " experiment = exp_path.name\n", - " if experiment != \"carl_classic_cartpole_single_0_enc_img_ctx_dec_img_ctx_100k\":\n", - " continue\n", - "\n", - " gravity_to_seed_to_return = {}\n", - " gravity_to_context = {}\n", - " for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - " with (seed_path / \"eval.jsonl\").open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric\"]]\n", - " for line in lines:\n", - " gravity = line['context'].get('gravity', 9.8)\n", - " if gravity not in gravity_to_seed_to_return:\n", - " gravity_to_seed_to_return[gravity] = {}\n", - " gravity_to_seed_to_return[gravity][seed] = float(line['return'])\n", - " gravity_to_context[gravity] = line['context_distribution']\n", - "\n", - "\n", - " # Plotting\n", - " x = []\n", - " y = []\n", - " y_max = []\n", - " yerr = []\n", - " colors = []\n", - " for gravity in gravity_to_seed_to_return:\n", - " x.append(gravity)\n", - " y.append(np.mean([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]))\n", - " y_max.append(np.max([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]))\n", - " yerr.append(np.std([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]) / np.sqrt(len(gravity_to_seed_to_return[gravity])))\n", - " if gravity in gravity_to_context and gravity_to_context[gravity] == \"interpolate\":\n", - " colors.append('green')\n", - " else:\n", - " colors.append('red')\n", - " \n", - " # sort x, y, yerr, colors by x\n", - " x, y, yerr, colors = zip(*sorted(zip(x, y, yerr, colors)))\n", - " plt.errorbar(x, y, yerr=yerr, ecolor=colors)\n", - " plt.scatter(x, y, color=colors, marker='o', s=100)\n", - " # plot max as a dotted line\n", - " plt.plot(x, y_max, linestyle='dotted', color='black')\n", - "\n", - " # Add legend and labels\n", - " plt.legend()\n", - " plt.xlabel('gravity')\n", - " plt.ylabel('return')\n", - " plt.title(f'Gravity vs Return - {experiment})')\n", - "\n", - " # legend with green as \"interpolate\" and red as \"extrapolate\"\n", - " import matplotlib.patches as mpatches\n", - " green_patch = mpatches.Patch(color='green', label='interpolate')\n", - " red_patch = mpatches.Patch(color='red', label='extrapolate')\n", - " plt.legend(handles=[green_patch, red_patch])\n", - "\n", - " # Show the plot\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import json\n", - "import sys\n", - "import os\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import argparse\n", - "from scipy.stats import sem\n", - "from pathlib import Path\n", - "\n", - "logdir = Path(\"../logs\") \n", - "\n", - "\n", - "for exp_path in logdir.iterdir():\n", - " experiment = exp_path.name\n", - " if experiment not in [\"carl_classic_cartpole_single_0_enc_img_dec_img_50k\", \"carl_classic_cartpole_single_0_enc_img_ctx_dec_img_ctx_50k\", \"carl_classic_cartpole_single_0_enc_obs_dec_obs_50k\", \"carl_classic_cartpole_single_0_enc_obs_ctx_dec_obs_ctx_50k\"]:\n", - " continue\n", - "\n", - " gravity_to_seed_to_return = {}\n", - " gravity_to_context = {}\n", - " for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - " with (seed_path / \"eval.jsonl\").open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric']]\n", - " for line in lines:\n", - " gravity = line['context'].get('gravity', 9.8)\n", - " if gravity not in gravity_to_seed_to_return:\n", - " gravity_to_seed_to_return[gravity] = {}\n", - " gravity_to_seed_to_return[gravity][seed] = float(line['return'])\n", - " gravity_to_context[gravity] = line['context_distribution']\n", - "\n", - "\n", - " # Plotting\n", - " x = []\n", - " y = []\n", - " y_max = []\n", - " yerr = []\n", - " colors = []\n", - " for gravity in gravity_to_seed_to_return:\n", - " x.append(gravity)\n", - " y.append(np.mean([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]))\n", - " y_max.append(np.max([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]))\n", - " yerr.append(np.std([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]) / np.sqrt(len(gravity_to_seed_to_return[gravity])))\n", - " if gravity in gravity_to_context and gravity_to_context[gravity] == \"interpolate\":\n", - " colors.append('green')\n", - " else:\n", - " colors.append('red')\n", - " \n", - " # sort x, y, yerr, colors by x\n", - " x, y, yerr, colors = zip(*sorted(zip(x, y, yerr, colors)))\n", - " plt.errorbar(x, y, yerr=yerr, ecolor=colors)\n", - " plt.scatter(x, y, color=colors, marker='o', s=100)\n", - " # plot max as a dotted line\n", - " plt.plot(x, y_max, linestyle='dotted', color='black')\n", - "\n", - " # Add legend and labels\n", - " plt.legend()\n", - " plt.xlabel('gravity')\n", - " plt.ylabel('return')\n", - " plt.title(f'Gravity vs Return - {experiment})')\n", - "\n", - " # legend with green as \"interpolate\" and red as \"extrapolate\"\n", - " import matplotlib.patches as mpatches\n", - " green_patch = mpatches.Patch(color='green', label='interpolate')\n", - " red_patch = mpatches.Patch(color='red', label='extrapolate')\n", - " plt.legend(handles=[green_patch, red_patch])\n", - "\n", - " # Show the plot\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import json\n", - "import sys\n", - "import os\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import argparse\n", - "from scipy.stats import sem\n", - "from pathlib import Path\n", - "\n", - "logdir = Path(\"../logs\") \n", - "\n", - "\n", - "for exp_path in logdir.iterdir():\n", - " experiment = exp_path.name\n", - " if experiment not in [\"carl_classic_cartpole_single_0_enc_img_dec_img_50k\", \"carl_classic_cartpole_single_0_enc_img_ctx_dec_img_ctx_50k\", \"carl_classic_cartpole_single_0_enc_obs_dec_obs_50k\", \"carl_classic_cartpole_single_0_enc_obs_ctx_dec_obs_ctx_50k\"]:\n", - " continue\n", - "\n", - " gravity_to_seed_to_return = {}\n", - " gravity_to_context = {}\n", - " for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - " with (seed_path / \"eval.jsonl\").open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric']]\n", - " for line in lines:\n", - " gravity = line['context'].get('gravity', 9.8)\n", - " if gravity not in gravity_to_seed_to_return:\n", - " gravity_to_seed_to_return[gravity] = {}\n", - " gravity_to_seed_to_return[gravity][seed] = float(line['return'])\n", - " gravity_to_context[gravity] = line['context_distribution']\n", - "\n", - "\n", - " # Plotting\n", - " x = []\n", - " y = []\n", - " colors = []\n", - " for gravity in gravity_to_seed_to_return:\n", - " x.append(gravity)\n", - " y.append(np.array([gravity_to_seed_to_return[gravity][seed] for seed in gravity_to_seed_to_return[gravity]]))\n", - " if gravity in gravity_to_context and gravity_to_context[gravity] == \"interpolate\":\n", - " colors.append('green')\n", - " else:\n", - " colors.append('red')\n", - " \n", - " # sort x, y, yerr, colors by x\n", - " x, y, colors = zip(*sorted(zip(x, y, colors)))\n", - " plt.violinplot(y, x, showmeans=True, showextrema=True, showmedians=True)\n", - "\n", - " # Add legend and labels\n", - " plt.xlabel('gravity')\n", - " plt.ylabel('return')\n", - " plt.title(f'Gravity vs Return - {experiment})')\n", - "\n", - " # legend with green as \"interpolate\" and red as \"extrapolate\"\n", - " import matplotlib.patches as mpatches\n", - " green_patch = mpatches.Patch(color='green', label='interpolate')\n", - " red_patch = mpatches.Patch(color='red', label='extrapolate')\n", - " plt.legend(handles=[green_patch, red_patch])\n", - "\n", - " # Show the plot\n", - " plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "import sys\n", - "import os\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import argparse\n", - "from scipy.stats import sem\n", - "from pathlib import Path\n", - "from contextual_mbrl.dreamer.envs import _TASK2CONTEXTS\n", - "logdir = Path(\"../logs\") \n", - "\n", - "t_step = \"50k\"\n", - "tasks = [\"classic_cartpole\"]\n", - "train_settings = [\"default\", \"single\"] # default context, varying single context in a interpolation range \n", - "contexts = [0, 1]\n", - "modalities = [\"obs\", \"img\"]\n", - "\n", - "task = tasks[0]\n", - "train_setting = train_settings[0]\n", - "context_idx = contexts[0]\n", - "modality = modalities[0]\n", - "\n", - "train_setting_full = \"default\" if train_setting == \"default\" else f\"{train_setting}_{context_idx}\"\n", - "\n", - "experiments = [\n", - " logdir / f\"carl_{task}_{train_setting_full}_enc_{modality}_dec_{modality}_{t_step}\", \n", - " logdir / f\"carl_{task}_{train_setting_full}_enc_{modality}_ctx_dec_{modality}_ctx_{t_step}\"\n", - "] \n", - "\n", - "\n", - "context_name = _TASK2CONTEXTS[task][context_idx][\"context\"]\n", - "data = {\n", - " \"context_val\": [],\n", - " \"input\": [],\n", - " \"return\": [],\n", - " \"dist\": []\n", - "}\n", - "\n", - "\n", - "\n", - "for exp_path in experiments:\n", - " experiment = exp_path.name\n", - " inp = \"with_ctx\" if \"ctx\" in experiment else \"without_ctx\"\n", - " for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - " eval_file = seed_path / \"eval.jsonl\"\n", - " if not eval_file.exists():\n", - " continue\n", - " with eval_file.open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric']]\n", - " for line in lines:\n", - " if context_name in line[\"ctx\"][\"changed\"] or len(line[\"ctx\"][\"changed\"]) == 0:\n", - " ctx_value = line['ctx'][\"context\"][context_name]\n", - " ret = float(line['return'])\n", - " dist = line['ctx'][\"dist\"]\n", - " data[\"context_val\"].append(ctx_value)\n", - " data[\"input\"].append(inp)\n", - " data[\"return\"].append(ret)\n", - " data[\"dist\"].append(dist)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "df = pd.DataFrame.from_dict(data)\n", - "\n", - "interpolate_vals = df[df[\"dist\"] == \"interpolate\"][\"context_val\"]\n", - "interpolate_range = interpolate_vals.min(), interpolate_vals.max()\n", - "if interpolate_range[0] == interpolate_range[1]:\n", - " interpolate_range = interpolate_range[0] - 0.1, interpolate_range[1] + 0.1" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import seaborn as sns\n", - "plt.figure(figsize=(25,15))\n", - "sns.violinplot(data=df, x=\"context_val\", y=\"return\", hue=\"input\", split=True, cut=0, native_scale=True, density_norm=\"width\", width=0.5)\n", - "# in the interpolate range, set the background color to green\n", - "plt.axvspan(interpolate_range[0], interpolate_range[1], facecolor='g', alpha=0.1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import json\n", - "import sys\n", - "import os\n", - "import glob\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import argparse\n", - "from scipy.stats import sem\n", - "from pathlib import Path\n", - "from contextual_mbrl.dreamer.envs import _TASK2CONTEXTS, _TASK2ENV\n", - "from collections import defaultdict\n", - "logdir = Path(\"../logs\") \n", - "\n", - "t_step = \"50k\"\n", - "tasks = [\"classic_cartpole\"]\n", - "modalities = [\"obs\", \"img\"]\n", - "\n", - "task = tasks[0]\n", - "modality = modalities[0]\n", - "\n", - "exp_path = logdir / f\"carl_{task}_double_box_enc_{modality}_dec_{modality}_{t_step}\"\n", - "\n", - "data = defaultdict(list)\n", - "\n", - "\n", - "ctx_0 = _TASK2CONTEXTS[task][0][\"context\"]\n", - "ctx_1 = _TASK2CONTEXTS[task][1][\"context\"]\n", - "\n", - "env = _TASK2ENV[task]\n", - "ctx_0_default = env.get_default_context()[ctx_0]\n", - "ctx_1_default = env.get_default_context()[ctx_1]\n", - "interpolation_range_0_pct = _TASK2CONTEXTS[task][0][\"interpolate\"][0]\n", - "interpolation_range_1_pct = _TASK2CONTEXTS[task][1][\"interpolate\"][0]\n", - "interpolate_range_0 = ctx_0_default * interpolation_range_0_pct[0], ctx_0_default * interpolation_range_0_pct[1]\n", - "interpolate_range_1 = ctx_1_default * interpolation_range_1_pct[0], ctx_1_default * interpolation_range_1_pct[1]\n", - "\n", - "experiment = exp_path.name\n", - "inp = \"with_ctx\" if \"ctx\" in experiment else \"without_ctx\"\n", - "for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - " eval_file = seed_path / \"eval.jsonl\"\n", - " if not eval_file.exists():\n", - " continue\n", - " with eval_file.open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric']]\n", - " for line in lines:\n", - " \n", - " ctx_0_value = line['ctx'][\"context\"][ctx_0]\n", - " ctx_1_value = line['ctx'][\"context\"][ctx_1]\n", - " ret = float(line['return'])\n", - " data[(ctx_0_value, ctx_1_value)].append(ret)\n", - "\n", - "# plot 2d ctx1 and ctx2, with the return value as color and std as size\n", - "x = []\n", - "y = []\n", - "c = []\n", - "s = []\n", - "for ctx_0_value, ctx_1_value in data:\n", - " x.append(ctx_0_value)\n", - " y.append(ctx_1_value)\n", - " c.append(np.mean(data[(ctx_0_value, ctx_1_value)]))\n", - " s.append(np.std(data[(ctx_0_value, ctx_1_value)]))\n", - "\n", - "# plot with seaborn\n", - "\n", - "import seaborn as sns\n", - "plt.figure(figsize=(25,15))\n", - "\n", - "# 3d scatter plot with return value as height and std as size, use a white to red color map\n", - "\n", - "sns.scatterplot(x=x, y=y, hue=c, size=s, sizes=(50, 500), legend=False, palette=\"Reds\")\n", - "# plot the legend\n", - "# set background to green in the interpolation range\n", - "plt.axhspan(interpolate_range_1[0], interpolate_range_1[1], facecolor='g', alpha=0.1)\n", - "plt.axvspan(interpolate_range_0[0], interpolate_range_0[1], facecolor='g', alpha=0.1)\n", - "# print the scale for the return color as colorbar\n", - "import matplotlib as mpl\n", - "norm = mpl.colors.Normalize(vmin=min(c), vmax=max(c))\n", - "sm = plt.cm.ScalarMappable(cmap=\"Reds\", norm=norm)\n", - "sm.set_array([])\n", - "\n", - "plt.colorbar(sm, ax=plt.gca(), label=\"return\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "c_mbrl", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/scratch.ipynb b/notebooks/scratch.ipynb deleted file mode 100644 index 42698c1..0000000 --- a/notebooks/scratch.ipynb +++ /dev/null @@ -1,125 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/work/dlclarge1/ramans-cmbrl/contextual_mbrl/logs/carl_dmc_walker_single_0_enc_obs_dec_obs_pgm_ctx_adv_normalized/42\n", - "/work/dlclarge1/ramans-cmbrl/contextual_mbrl/logs/carl_dmc_walker_single_0_enc_obs_dec_obs_pgm_ctx_adv_normalized/908 eval.jsonl has 30 lines\n" - ] - } - ], - "source": [ - "from pathlib import Path\n", - "\n", - "p = Path('/work/dlclarge1/ramans-cmbrl/contextual_mbrl/logs')\n", - "\n", - "# iterate over the directories in path, and in each iterate over subdirectories, list which subdirectories don't have 'checkpoint.ckpt' file\n", - "for d in p.iterdir():\n", - " if d.is_dir() and 'cartpole' in d.name or 'dmc' in d.name:\n", - " if len(list(d.iterdir())) != 10:\n", - " print(d, \"doesn't have 10 subdirectories\")\n", - " continue\n", - " for sd in d.iterdir():\n", - " if sd.is_dir():\n", - " if not (sd / 'checkpoint.ckpt').exists():\n", - " print(sd, \"checkpoint.ckpt doesn't exist\")\n", - " elif not (sd / 'eval.jsonl').exists():\n", - " print(sd)\n", - " else:\n", - " with open(sd / 'eval.jsonl') as f:\n", - " lines = f.readlines()\n", - " if 'cartpole' in str(sd) and len(lines) != 84:\n", - " print(sd, \"eval.jsonl has\", len(lines), \"lines\")\n", - " elif 'walker' in str(sd) and len(lines) != 84:\n", - " print(sd, \"eval.jsonl has\", len(lines), \"lines\")\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "specific_1-0.3\n", - "specific_1-0.5\n", - "specific_1-0.7\n", - "specific_1-0.8\n", - "specific_1-0.9\n", - "specific_1-1.0\n", - "specific_0-17.64_1-0.2\n", - "specific_0-2.45_1-0.2\n", - "specific_0-0.98\n", - "specific_0-2.45\n", - "specific_0-14.7\n", - "specific_0-9.8\n", - "specific_0-4.9\n", - "specific_0-3.92\n", - "specific_0-15.68\n", - "specific_0-19.6\n", - "specific_0-17.64\n", - "specific_1-0.1\n", - "specific_1-0.2\n", - "specific_0-2.45_1-0.9\n", - "specific_0-17.64_1-0.9\n", - "\"specific_1-0.3\" \"specific_1-0.5\" \"specific_1-0.7\" \"specific_1-0.8\" \"specific_1-0.9\" \"specific_1-1.0\" \"specific_0-17.64_1-0.2\" \"specific_0-2.45_1-0.2\" \"specific_0-0.98\" \"specific_0-2.45\" \"specific_0-14.7\" \"specific_0-9.8\" \"specific_0-4.9\" \"specific_0-3.92\" \"specific_0-15.68\" \"specific_0-19.6\" \"specific_0-17.64\" \"specific_1-0.1\" \"specific_1-0.2\" \"specific_0-2.45_1-0.9\" \"specific_0-17.64_1-0.9\"\n" - ] - } - ], - "source": [ - "from pathlib import Path\n", - "\n", - "p = Path('/work/dlclarge1/ramans-cmbrl/contextual_mbrl/logs/specific')\n", - "\n", - "# iterate over the directories in path, and in each iterate over subdirectories, list which subdirectories don't have 'checkpoint.ckpt' file\n", - "exp_prefix = \"carl_classic_cartpole_\"\n", - "exps = []\n", - "for d in p.iterdir():\n", - " if d.is_dir():\n", - " if exp_prefix in d.name:\n", - " n = d.name.split(exp_prefix)[1]\n", - " n = n.split(\"_enc\")[0]\n", - " print(n)\n", - " exps.append(n)\n", - "print(\" \".join([f'\"{n}\"' for n in exps]))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "c_mbrl", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/yolo.ipynb b/notebooks/yolo.ipynb deleted file mode 100644 index 366a903..0000000 --- a/notebooks/yolo.ipynb +++ /dev/null @@ -1,714 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "from collections import defaultdict\n", - "from pathlib import Path\n", - "import json\n", - "from contextual_mbrl.dreamer.envs import _TASK2CONTEXTS, _TASK2ENV\n", - "import numpy as np\n", - "\n", - "\n", - "TASK2MaxReturn = {\n", - " \"classic_cartpole\": 500,\n", - " \"dmc_walker\": 1000\n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from pathlib import Path\n", - "from contextual_mbrl.dreamer.envs import _TASK2CONTEXTS, _TASK2ENV\n", - "from collections import defaultdict\n", - "import numpy as np\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "from matplotlib.patches import Rectangle\n", - "\n", - "\n", - "def plot2d(logdir, save_dir, task, modality, train_mode, ctx, plot_key, exp_suffix):\n", - "\n", - " data = defaultdict(list)\n", - "\n", - " ctx_0 = _TASK2CONTEXTS[task][0][\"context\"]\n", - " ctx_1 = _TASK2CONTEXTS[task][1][\"context\"]\n", - "\n", - " if train_mode == \"default\":\n", - " env = _TASK2ENV[task]\n", - " default_0 = env.get_default_context()[ctx_0]\n", - " default_1 = env.get_default_context()[ctx_1]\n", - " interpolate_range_0 = [default_0, default_0]\n", - " interpolate_range_1 = [default_1, default_1]\n", - " else:\n", - " interpolate_range_0 = _TASK2CONTEXTS[task][0][\"train_range\"]\n", - " interpolate_range_1 = _TASK2CONTEXTS[task][1][\"train_range\"]\n", - "\n", - " if ctx == \"no_ctx\":\n", - " exp_path = logdir / f\"carl_{task}_{train_mode}_enc_{modality}_dec_{modality}_{exp_suffix}\"\n", - " ctx_text = \"No context\"\n", - " elif ctx == \"enc_dec_ctx\":\n", - " exp_path = logdir / f\"carl_{task}_{train_mode}_enc_{modality}_ctx_dec_{modality}_ctx_{exp_suffix}\"\n", - " ctx_text = \"Simple context\"\n", - " elif ctx == \"pgm_ctx\":\n", - " exp_path = logdir / f\"carl_{task}_{train_mode}_enc_{modality}_dec_{modality}_pgm_ctx_{exp_suffix}\"\n", - " ctx_text = \"cRSSM\"\n", - " elif ctx == \"pgm_ctx_adv\":\n", - " exp_path = logdir / f\"carl_{task}_{train_mode}_enc_{modality}_dec_{modality}_pgm_ctx_adv_{exp_suffix}\"\n", - " ctx_text = \"Disentangled cRSSM\"\n", - " else:\n", - " raise ValueError(f\"Unknown ctx {ctx}\")\n", - " modality = \"Featurized obs\" if modality == \"obs\" else \"Pixel obs\"\n", - " seeds = 0\n", - " experiment = exp_path.name\n", - " for seed_path in exp_path.iterdir():\n", - " seed = int(seed_path.name)\n", - "\n", - " eval_file = seed_path / \"eval.jsonl\"\n", - " if not eval_file.exists():\n", - " continue\n", - " seeds += 1\n", - " with eval_file.open() as f:\n", - " lines = f.readlines()\n", - " lines = [json.loads(line) for line in lines if not json.loads(line)['aggregated_context_metric']]\n", - " for line in lines:\n", - " \n", - " ctx_0_value = line['ctx'][\"context\"][ctx_0]\n", - " ctx_1_value = line['ctx'][\"context\"][ctx_1]\n", - " ret = float(line['return'])\n", - " data[(ctx_0_value, ctx_1_value)].append(ret)\n", - "\n", - " print(seeds)\n", - "\n", - " x = []\n", - " y = []\n", - " c = []\n", - " mean_regret = []\n", - " for ctx_0_value, ctx_1_value in data:\n", - " x.append(ctx_0_value)\n", - " y.append(ctx_1_value)\n", - " c.append(np.mean(data[(ctx_0_value, ctx_1_value)]))\n", - "\n", - " ctx_0 = ctx_0.replace(\"_\", \" \").title()\n", - " ctx_1 = ctx_1.replace(\"_\", \" \").title()\n", - "\n", - " df = pd.DataFrame({ctx_0: x, ctx_1: y, \"return\": c})\n", - " df = df.pivot(index=ctx_0, columns=ctx_1, values=\"return\")\n", - " \n", - " # sort the rows descending\n", - " df = df.sort_index(ascending=False)\n", - "\n", - " \n", - " # darker colors for higher values, red color map\n", - " ax = sns.heatmap(df, cmap=sns.cm.rocket_r if plot_key == \"return\" else sns.cm.crest_r, annot=True, fmt=\".0f\")\n", - " \n", - "\n", - " h_index_0 = df.index.searchsorted(interpolate_range_0[0], 'left', df.index.argsort())\n", - " h_index_1 = df.index.searchsorted(interpolate_range_0[1], 'right', df.index.argsort())\n", - "\n", - " v_index_0 = df.columns.searchsorted(interpolate_range_1[0], 'left')\n", - " v_index_1 = df.columns.searchsorted(interpolate_range_1[1], 'right')\n", - " \n", - " ax.add_patch(Rectangle((v_index_0, h_index_0), (v_index_1 - v_index_0), (h_index_1 - h_index_0), fill=False, edgecolor='g', linestyle='--', linewidth=2))\n", - " \n", - " plt.title(f\"{task} - {modality} - {ctx_text} - {plot_key.title()}\")\n", - " \n", - " plt.savefig(save_dir / f\"{task}_{train_mode}_{modality}_{ctx}_{plot_key}.pdf\")\n", - " \n", - " # clear plt\n", - " plt.pause(0.1)\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4\n" - ] - }, - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "exp_suffix = \"normalized\"\n", - "tasks = [\"carl_box2d_bipedal_walker_double_box_enc_img_dec_img_normalized\", \"dmc_walker\"]\n", - "modalities = [\"obs\", \"img\"]\n", - "train_modes = [\"default\", \"double_box\"]\n", - "logdir = Path(\"../logs\") \n", - "\n", - "save_dir = Path(\"./plots_test/\")\n", - "df1 = plot2d(logdir, save_dir, \"box2d_bipedal_walker\", \"img\", \"default\", \"no_ctx\", \"return\", exp_suffix) \n", - "df2 = plot2d(logdir, save_dir, \"box2d_bipedal_walker\", \"img\", \"double_box\", \"pgm_ctx\", \"return\", exp_suffix) \n", - "df3 = plot2d(logdir, save_dir, \"box2d_bipedal_walker\", \"img\", \"double_box\", \"pgm_ctx_adv\", \"return\", exp_suffix) " - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-6.376130087312435\n" - ] - } - ], - "source": [ - "# sum entries in df1 and divide by the number of entries in df1 without NaNs\n", - "print(df1.sum().sum() / df1.count().sum())" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Speed Knee1.02.03.04.05.06.07.08.09.010.011.012.013.014.015.0
Gravity Y
-1.0-118.158862NaN-99.089673-96.035653NaN-66.383612NaNNaN-99.365498-116.336893NaN-115.807688NaNNaN-124.371507
-2.0NaNNaNNaNNaNNaN94.261882NaNNaNNaNNaNNaNNaNNaNNaNNaN
-3.0-87.205738NaN107.849901219.514136NaN242.429626NaNNaN181.311863111.411337NaN64.267267NaNNaN-81.057746
-4.0NaNNaNNaNNaNNaN282.161222NaNNaNNaNNaNNaNNaNNaNNaNNaN
-5.0-74.100066NaN225.729107264.543420NaN300.401605NaNNaN294.911142255.049654NaN222.913078NaNNaN51.962738
-7.0-77.406904NaN237.593978282.084188NaN290.038666NaNNaN286.340879286.144670NaN286.726835NaNNaN12.805154
-8.0NaNNaNNaNNaNNaN272.626688NaNNaNNaNNaNNaNNaNNaNNaNNaN
-9.0NaNNaNNaNNaNNaN282.828315NaNNaNNaNNaNNaNNaNNaNNaNNaN
-10.0-100.14177722.421616221.335817248.685861275.811343281.565010264.639949268.275736238.270168234.145237239.562861223.152938214.546617108.39783578.715810
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-12.0NaNNaNNaNNaNNaN274.285032NaNNaNNaNNaNNaNNaNNaNNaNNaN
-13.0-100.578770NaN74.753899216.079857NaN228.034413NaNNaN198.072147184.309468NaN148.522408NaNNaN147.029664
-15.0-115.980881NaN-46.809153151.339761NaN163.726832NaNNaN141.83747059.220482NaN101.874033NaNNaN40.709539
-16.0NaNNaNNaNNaNNaN102.876110NaNNaNNaNNaNNaNNaNNaNNaNNaN
-17.0-114.658378NaN-80.0724892.067962NaN11.006100NaNNaN34.83700231.289084NaN12.822636NaNNaN-55.183844
-18.0NaNNaNNaNNaNNaN-21.092889NaNNaNNaNNaNNaNNaNNaNNaNNaN
-19.0-113.703714NaN-93.108857-71.867609NaN-64.803871NaNNaN-59.961595-49.407853NaN-55.333447NaNNaN-111.464532
\n", - "
" - ], - "text/plain": [ - "Speed Knee 1.0 2.0 3.0 4.0 5.0 \\\n", - "Gravity Y \n", - "-1.0 -118.158862 NaN -99.089673 -96.035653 NaN \n", - "-2.0 NaN NaN NaN NaN NaN \n", - "-3.0 -87.205738 NaN 107.849901 219.514136 NaN \n", - "-4.0 NaN NaN NaN NaN NaN \n", - "-5.0 -74.100066 NaN 225.729107 264.543420 NaN \n", - "-7.0 -77.406904 NaN 237.593978 282.084188 NaN \n", - "-8.0 NaN NaN NaN NaN NaN \n", - "-9.0 NaN NaN NaN NaN NaN \n", - "-10.0 -100.141777 22.421616 221.335817 248.685861 275.811343 \n", - "-11.0 NaN NaN NaN NaN NaN \n", - "-12.0 NaN NaN NaN NaN NaN \n", - "-13.0 -100.578770 NaN 74.753899 216.079857 NaN \n", - "-15.0 -115.980881 NaN -46.809153 151.339761 NaN \n", - "-16.0 NaN NaN NaN NaN NaN \n", - "-17.0 -114.658378 NaN -80.072489 2.067962 NaN \n", - "-18.0 NaN NaN NaN NaN NaN \n", - "-19.0 -113.703714 NaN -93.108857 -71.867609 NaN \n", - "\n", - "Speed Knee 6.0 7.0 8.0 9.0 10.0 \\\n", - "Gravity Y \n", - "-1.0 -66.383612 NaN NaN -99.365498 -116.336893 \n", - "-2.0 94.261882 NaN NaN NaN NaN \n", - "-3.0 242.429626 NaN NaN 181.311863 111.411337 \n", - "-4.0 282.161222 NaN NaN NaN NaN \n", - "-5.0 300.401605 NaN NaN 294.911142 255.049654 \n", - "-7.0 290.038666 NaN NaN 286.340879 286.144670 \n", - "-8.0 272.626688 NaN NaN NaN NaN \n", - "-9.0 282.828315 NaN NaN NaN NaN \n", - "-10.0 281.565010 264.639949 268.275736 238.270168 234.145237 \n", - "-11.0 277.962605 NaN NaN NaN NaN \n", - "-12.0 274.285032 NaN NaN NaN NaN \n", - "-13.0 228.034413 NaN NaN 198.072147 184.309468 \n", - "-15.0 163.726832 NaN NaN 141.837470 59.220482 \n", - "-16.0 102.876110 NaN NaN NaN NaN \n", - "-17.0 11.006100 NaN NaN 34.837002 31.289084 \n", - "-18.0 -21.092889 NaN NaN NaN NaN \n", - "-19.0 -64.803871 NaN NaN -59.961595 -49.407853 \n", - "\n", - "Speed Knee 11.0 12.0 13.0 14.0 15.0 \n", - "Gravity Y \n", - "-1.0 NaN -115.807688 NaN NaN -124.371507 \n", - "-2.0 NaN NaN NaN NaN NaN \n", - "-3.0 NaN 64.267267 NaN NaN -81.057746 \n", - "-4.0 NaN NaN NaN NaN NaN \n", - "-5.0 NaN 222.913078 NaN NaN 51.962738 \n", - "-7.0 NaN 286.726835 NaN NaN 12.805154 \n", - "-8.0 NaN NaN NaN NaN NaN \n", - "-9.0 NaN NaN NaN NaN NaN \n", - "-10.0 239.562861 223.152938 214.546617 108.397835 78.715810 \n", - "-11.0 NaN NaN NaN NaN NaN \n", - "-12.0 NaN NaN NaN NaN NaN \n", - "-13.0 NaN 148.522408 NaN NaN 147.029664 \n", - "-15.0 NaN 101.874033 NaN NaN 40.709539 \n", - "-16.0 NaN NaN NaN NaN NaN \n", - "-17.0 NaN 12.822636 NaN NaN -55.183844 \n", - "-18.0 NaN NaN NaN NaN NaN \n", - "-19.0 NaN -55.333447 NaN NaN -111.464532 " - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print(df2.sum().sum() / df2.count().sum())\n", - "\n", - "df22 = df2.copy()\n", - "# coloumns where index \n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "115.44114957449861\n" - ] - } - ], - "source": [ - "print(df3.sum().sum() / df3.count().sum())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "c_mbrl", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/record_latents.sh b/record_latents.sh deleted file mode 100644 index 27a393e..0000000 --- a/record_latents.sh +++ /dev/null @@ -1,52 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-79 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_collect_latent -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_classic_cartpole" "carl_dmc_walker") -seeds=("0" "42" "1337" "13" "71") -schemes=("enc_img_dec_img_pgm_ctx" "enc_obs_dec_obs_pgm_ctx" "enc_obs_dec_obs" "enc_img_dec_img") -contexts=("single_0" "single_1") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - - -group_name="${task}_${context}_${scheme}_normalized" -if [ -f "logs/$group_name/$seed/checkpoint.ckpt" ]; then - python -m contextual_mbrl.dreamer.record_latents --logdir logs/$group_name/$seed --jax.policy_devices 0 --jax.train_devices 0 -fi - - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/schedule_dreams.sh b/schedule_dreams.sh index f5eb33f..9214b83 100755 --- a/schedule_dreams.sh +++ b/schedule_dreams.sh @@ -43,7 +43,9 @@ do group_name="${task}_${context}_${scheme}_normalized" if [ -d "logs/$group_name/$seed" ]; then - python -m contextual_mbrl.dreamer.record_cart_length_dreams --logdir logs/$group_name/$seed + python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$group_name/$seed --ctx_id 1 + python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$group_name/$seed --ctx_id 1 --counterfactual_ctx 0.1 + python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$group_name/$seed --ctx_id 1 --counterfactual_ctx 1.0 fi done diff --git a/schedule_specific_jobs_cartpole.sh b/schedule_specific_jobs_cartpole.sh index 5d57b6f..e942c2e 100644 --- a/schedule_specific_jobs_cartpole.sh +++ b/schedule_specific_jobs_cartpole.sh @@ -1,7 +1,7 @@ #!/bin/bash -#SBATCH --array=0-9 -#SBATCH --partition alldlc_gpu-rtx2080 +#SBATCH --array=0-20 +#SBATCH --partition insert_your_partition #SBATCH --job-name CMbRL_specific_cartpole #SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out #SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err @@ -25,11 +25,7 @@ schemes=("enc_obs_dec_obs") # gravity [0.98, 2.45, 3.92, 4.9, 9.8, 14.7, 15.68, 17.64, 19.6] # length [0.1 0.2 0.3 0.5 0.7 0.8 0.9 1.0] # grav, len [(2.45, 0.2), (17.64, 0.2), (17.64, 0.9), (2.45, 0.9)] -# contexts=("specific_0-0.98" "specific_0-2.45" "specific_0-3.92" "specific_0-4.9" "specific_0-9.8" "specific_0-14.7" "specific_0-15.68" "specific_0-17.64" "specific_0-19.6" "specific_1-0.1" "specific_1-0.2" "specific_1-0.3" "specific_1-0.5" "specific_1-0.7" "specific_1-0.8" "specific_1-0.9" "specific_1-1.0") - -#contexts=("specific_0-2.45_1-0.2" "specific_0-17.64_1-0.2" "specific_0-17.64_1-0.9" "specific_0-2.45_1-0.9") - -contexts=("specific_0-2.45_1-0.2" "specific_0-17.64_1-0.9") +contexts=("specific_0-0.98" "specific_0-2.45" "specific_0-3.92" "specific_0-4.9" "specific_0-9.8" "specific_0-14.7" "specific_0-15.68" "specific_0-17.64" "specific_0-19.6" "specific_1-0.1" "specific_1-0.2" "specific_1-0.3" "specific_1-0.5" "specific_1-0.7" "specific_1-0.8" "specific_1-0.9" "specific_1-1.0" "specific_0-2.45_1-0.2" "specific_0-17.64_1-0.2" "specific_0-17.64_1-0.9" "specific_0-2.45_1-0.9") n_tasks=${#tasks[@]} n_seeds=${#seeds[@]} @@ -52,7 +48,7 @@ group_name="${task}_${context}_${scheme}" python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/specific/$group_name/$seed --wandb.project '' --jax.policy_devices 0 --jax.train_devices 1 --run.steps 50000 python -m contextual_mbrl.dreamer.eval --logdir logs/specific/$group_name/$seed - +python -m contextual_mbrl.dreamer.eval --logdir logs/specific/$group_name/$seed --random_policy True end=`date +%s` runtime=$((end-start)) diff --git a/schedule_specific_jobs_walker.sh b/schedule_specific_jobs_walker.sh index 2a32073..98899c3 100755 --- a/schedule_specific_jobs_walker.sh +++ b/schedule_specific_jobs_walker.sh @@ -1,7 +1,7 @@ #!/bin/bash -#SBATCH --array=0-19 -#SBATCH --partition alldlc_gpu-rtx2080 +#SBATCH --array=0-20 +#SBATCH --partition insert_your_partition #SBATCH --job-name CMbRL_specific_walker #SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out #SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err @@ -27,8 +27,7 @@ schemes=("enc_obs_dec_obs") # actuator strength [0.1, 0.3, 0.5, 1.0, 1.5, 1.6, 1.8, 2.0] # grav, strength (2.45, 0.3), (17.64, 0.3), (17.64, 1.8), (2.45, 1.8) -#contexts=("specific_0-0.98" "specific_0-2.45" "specific_0-3.92" "specific_0-4.9" "specific_0-9.81" "specific_0-14.7" "specific_0-15.68" "specific_0-17.64" "specific_0-19.6" "specific_1-0.1" "specific_1-0.3" "specific_1-0.5" "specific_1-1.0" "specific_1-1.5" "specific_1-1.6" "specific_1-1.8" "specific_1-2.0") -contexts=("specific_0-2.45_1-0.3" "specific_0-17.64_1-0.3" "specific_0-17.64_1-1.8" "specific_0-2.45_1-1.8") +contexts=("specific_0-0.98" "specific_0-2.45" "specific_0-3.92" "specific_0-4.9" "specific_0-9.81" "specific_0-14.7" "specific_0-15.68" "specific_0-17.64" "specific_0-19.6" "specific_1-0.1" "specific_1-0.3" "specific_1-0.5" "specific_1-1.0" "specific_1-1.5" "specific_1-1.6" "specific_1-1.8" "specific_1-2.0" "specific_0-2.45_1-0.3" "specific_0-17.64_1-0.3" "specific_0-17.64_1-1.8" "specific_0-2.45_1-1.8") n_tasks=${#tasks[@]} @@ -48,13 +47,9 @@ context=${contexts[$context_index]} group_name="${task}_${context}_${scheme}" -# if logdir is not there train -if [ ! -d logs/specific/$group_name/$seed ]; then - echo "Training $group_name $seed" - python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/specific/$group_name/$seed --jax.policy_devices 0 --jax.train_devices 1 --run.steps 100000 --wandb.project '' -fi - +python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/specific/$group_name/$seed --jax.policy_devices 0 --jax.train_devices 1 --run.steps 500000 --wandb.project '' python -m contextual_mbrl.dreamer.eval --logdir logs/specific/$group_name/$seed +python -m contextual_mbrl.dreamer.eval --logdir logs/specific/$group_name/$seed --random_policy True end=`date +%s` runtime=$((end-start)) diff --git a/scripts/test_env.py b/scripts/test_env.py new file mode 100644 index 0000000..e69de29 diff --git a/single_job.sh b/single_job.sh deleted file mode 100755 index 65cfb82..0000000 --- a/single_job.sh +++ /dev/null @@ -1,58 +0,0 @@ -#!/bin/bash - -#SBATCH --array=0-2 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_array2 -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:2 - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_dmc_walker") -seeds=("0" "13" "71") -#schemes=("enc_obs_dec_obs" "enc_obs_ctx_dec_obs_ctx" "enc_obs_dec_obs_ctx") -schemes=("enc_obs_ctx_dec_obs_ctx") -contexts=("default") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} - -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - -group_name="${task}_${context}_${scheme}_normalized" - -# if the log directory already exists, skip the job -if [ -d "logs/$group_name/$seed" ]; then - echo "Log directory exists, skipping job" - exit 0 -fi - -python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 1 --run.steps 100000 -python -m contextual_mbrl.dreamer.eval --logdir logs/$group_name/$seed - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file diff --git a/train_jobs.sh b/train_jobs.sh index 79f4e72..1888b34 100755 --- a/train_jobs.sh +++ b/train_jobs.sh @@ -1,8 +1,8 @@ #!/bin/bash -#SBATCH --array=0-359 +#SBATCH --array=0-479 #SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_odin +#SBATCH --job-name CMbRL #SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out #SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err #SBATCH --mem 32GB @@ -21,7 +21,7 @@ start=`date +%s` tasks=("carl_classic_cartpole" "carl_dmc_walker") seeds=("0" "42" "1337" "13" "71" "1994" "1997" "908" "2102" "3") -schemes=("enc_obs_dec_obs_default" "enc_img_dec_img_default" "enc_obs_dec_obs" "enc_img_dec_img" "enc_obs_ctx_dec_obs_ctx" "enc_img_ctx_dec_img_ctx" "enc_obs_dec_obs_pgm_ctx" "enc_img_dec_img_pgm_ctx" "enc_obs_dec_obs_pgm_ctx_adv" "enc_img_dec_img_pgm_ctx_adv") +schemes=("enc_obs_dec_obs_default" "enc_img_dec_img_default" "enc_obs_dec_obs" "enc_img_dec_img" "enc_obs_ctx_dec_obs_ctx" "enc_img_ctx_dec_img_ctx" "enc_obs_dec_obs_pgm_ctx" "enc_img_dec_img_pgm_ctx") contexts=("single_0" "single_1" "double_box") n_tasks=${#tasks[@]} @@ -46,7 +46,6 @@ if [ "$scheme" == "enc_obs_dec_obs_default" ]; then if [ "$context" != "single_0" ]; then exit 0 fi - scheme="enc_obs_dec_obs" context="default" elif [ "$scheme" == "enc_img_dec_img_default" ]; then diff --git a/walker_500k.sh b/walker_500k.sh deleted file mode 100644 index 189e723..0000000 --- a/walker_500k.sh +++ /dev/null @@ -1,75 +0,0 @@ -#!/bin/bash - -#SBATCH --array=14-239 -#SBATCH --partition alldlc_gpu-rtx2080 -#SBATCH --job-name CMbRL_odin -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err -#SBATCH --mem 32GB -#SBATCH --ntasks=1 -#SBATCH --cpus-per-task=32 -#SBATCH --ntasks-per-core=1 -#SBATCH --gres=gpu:1 - - -echo "Workingdir: $PWD"; -echo "Started at $(date)"; - -source ~/miniconda3/bin/activate # Adjust to your path of Miniconda installation -conda activate c_mbrl - -start=`date +%s` - -tasks=("carl_dmc_walker") -seeds=("0" "42" "1337" "13" "71" "1994" "1997" "908" "2102" "3") -schemes=("enc_obs_dec_obs_default" "enc_img_dec_img_default" "enc_obs_dec_obs" "enc_img_dec_img" "enc_obs_ctx_dec_obs_ctx" "enc_img_ctx_dec_img_ctx" "enc_obs_dec_obs_pgm_ctx" "enc_img_dec_img_pgm_ctx") -contexts=("single_0" "single_1" "double_box") - -n_tasks=${#tasks[@]} -n_seeds=${#seeds[@]} -n_schemes=${#schemes[@]} -n_contexts=${#contexts[@]} - -task_index=$((${SLURM_ARRAY_TASK_ID} / (n_seeds * n_schemes * n_contexts) % n_tasks)) -seed_index=$((${SLURM_ARRAY_TASK_ID} / (n_schemes * n_contexts) % n_seeds)) -scheme_index=$((${SLURM_ARRAY_TASK_ID} / n_contexts % n_schemes)) -context_index=$((${SLURM_ARRAY_TASK_ID} % n_contexts)) - -task=${tasks[$task_index]} -seed=${seeds[$seed_index]} -scheme=${schemes[$scheme_index]} -context=${contexts[$context_index]} - -group_name="${task}_${context}_${scheme}_500k" - -if [ "$scheme" == "enc_obs_dec_obs_default" ]; then - scheme="enc_obs_dec_obs" - context="default" -elif [ "$scheme" == "enc_img_dec_img_default" ]; then - scheme="enc_img_dec_img" - context="default" -fi - -# start training only if logdir does not exist -# if training dir doesn't exist copy "${task}_${context}_${scheme}_normalized" to the new logdir - -if [ ! -d logs/$group_name/ ]; then - mkdir -p logs/$group_name -fi - -if [ ! -d logs/$group_name/$seed ]; then - python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $context --seed $seed --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 0 --run.steps 500000 --wandb.project '' -fi - -# if eval.jsonl doesn't exist or doesn't have 84 lines -if [ ! -f logs/$group_name/$seed/eval.jsonl ] || [ $(wc -l < logs/$group_name/$seed/eval.jsonl) -ne 84 ]; then - rm logs/$group_name/$seed/eval.jsonl - python -m contextual_mbrl.dreamer.eval --logdir logs/$group_name/$seed -fi - - -end=`date +%s` -runtime=$((end-start)) - -echo Job execution complete. -echo Runtime: $runtime \ No newline at end of file From fc07ae42bc6ad62666c3ee34f5c9e31c1dbf9c6c Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Thu, 7 Mar 2024 20:17:33 +0100 Subject: [PATCH 2/7] Update readme --- README.md | 45 +++++++++++++++++++++++---------------------- 1 file changed, 23 insertions(+), 22 deletions(-) diff --git a/README.md b/README.md index 675c971..ce8593b 100644 --- a/README.md +++ b/README.md @@ -1,48 +1,48 @@ -# contextual_mbrl +# Dreaming of Many Worlds:Learning Contextual World Models Aids Zero-Shot Generalization in Reinforcement Learning -Do world models actually model the world :p ## Setup -### VScode -Install the recommended extensions when you open the project - - ### Conda +First setup a miniconda environment. `conda env create --name c_mbrl --file environment.yml` - ## Experiments - -### All main experiments +### Main experiments All our main experiments can be replicated by running `sbatch train_jobs.sh` with slurm. To replicate individual experiments, you have to select one for each of the 4 main options. -*Task*: `carl_classic_cartpole`/`carl_dmc_walker` -*Modality*: `img` for pixel modality and `obs` for featurized modality -*Method*: -`enc_{$modality}_dec_{$modality}_pgm_ctx` is the cRSSM setting -`enc_{$modality}_dec_{$modality}` is the hidden-context setting -`enc_{$modality}_ctx_dec_{$modality}_ctx` is the concat-context setting -*Training context*: -`default`: Only on default context (makes sense to pair only with the hidden-context setting) -`single_0`: vary the first context (gravity for cartpole and walker) -`single_0`: vary the second context (length for cartpole and actuator strength for walker) - -Then run the following with your preferred settings and seeds. -``` bash +1. **Task** + `carl_classic_cartpole`/`carl_dmc_walker` +2. ***Modality** + `img` for pixel modality and `obs` for featurized modality +3. **Method** + `enc_{$modality}_dec_{$modality}_pgm_ctx` is the cRSSM setting, + `enc_{$modality}_dec_{$modality}` is the hidden-context setting, + `enc_{$modality}_ctx_dec_{$modality}_ctx` is the concat-context setting +4. **Training context** + `default`: Only on default context (makes sense to pair only with the hidden-context setting) + `single_0`: vary the first context (gravity for cartpole and walker) + `single_0`: vary the second context (length for cartpole and actuator strength for walker) + +Then run the following commands your preferred settings and seed to run training followed by evaluation in required context regions. + +``` bash python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --env.carl.context $training_context --seed $seed --logdir logs/$experiment_name/$seed --wandb.project '' --run.steps $steps python -m contextual_mbrl.dreamer.eval --logdir logs/$experiment_name/$seed ``` ### Dreams The extrapolated and counterfactual dreams of the trained cartpole models can be obtained using `schedule_dreams.sh`. For individual recording of the dreams for a given context id (refer `envs.py` for context id to context mapping for different environments) for a given experiment run, + ```bash python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 ``` + Use the `counterfactual_ctx` flag to provide counterfactual value and record dreams in different true contexts conditioning on this counterfactual value. + ```bash python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 --counterfactual_ctx 1.0 ``` @@ -52,6 +52,7 @@ python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$ To train the experts, evaluate their mean returns and evaluate the models, run `schedule_specific_jobs_carpole/walker.sh`. An example to train cartpole export in gravity 17.64 and length 0.9 is + ``` python -m contextual_mbrl.dreamer.train --configs carl enc_obs_dec_obs --task carl_classic_cartpole --env.carl.context specific_0-17.64_1-0.9 --seed 0 --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 --wandb.project '' --run.steps 50000 python -m contextual_mbrl.dreamer.eval --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 From d9fd1b8aeb95263ecc987dd90ade0ca3c06a6f46 Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Thu, 7 Mar 2024 20:31:19 +0100 Subject: [PATCH 3/7] Update the scripts --- train_jobs.sh => 001_main_experiments.sh | 4 ++-- ...ule_specific_jobs_cartpole.sh => 002_cartpole_experts.sh | 6 +++--- schedule_specific_jobs_walker.sh => 003_walker_experts.sh | 6 +++--- schedule_dreams.sh => 004_collect_dreams.sh | 4 ++-- 4 files changed, 10 insertions(+), 10 deletions(-) rename train_jobs.sh => 001_main_experiments.sh (95%) rename schedule_specific_jobs_cartpole.sh => 002_cartpole_experts.sh (93%) rename schedule_specific_jobs_walker.sh => 003_walker_experts.sh (93%) rename schedule_dreams.sh => 004_collect_dreams.sh (93%) diff --git a/train_jobs.sh b/001_main_experiments.sh similarity index 95% rename from train_jobs.sh rename to 001_main_experiments.sh index 1888b34..658d33b 100755 --- a/train_jobs.sh +++ b/001_main_experiments.sh @@ -3,8 +3,8 @@ #SBATCH --array=0-479 #SBATCH --partition alldlc_gpu-rtx2080 #SBATCH --job-name CMbRL -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err +#SBATCH --output logs/slurm/%x-%A-%a.out +#SBATCH --error logs/slurm/%x-%A-%a.err #SBATCH --mem 32GB #SBATCH --ntasks=1 #SBATCH --cpus-per-task=32 diff --git a/schedule_specific_jobs_cartpole.sh b/002_cartpole_experts.sh similarity index 93% rename from schedule_specific_jobs_cartpole.sh rename to 002_cartpole_experts.sh index e942c2e..4f4a1e0 100644 --- a/schedule_specific_jobs_cartpole.sh +++ b/002_cartpole_experts.sh @@ -1,10 +1,10 @@ #!/bin/bash #SBATCH --array=0-20 -#SBATCH --partition insert_your_partition +#SBATCH --partition alldlc_gpu-rtx2080 #SBATCH --job-name CMbRL_specific_cartpole -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err +#SBATCH --output logs/slurm/%x-%A-%a.out +#SBATCH --error logs/slurm/%x-%A-%a.err #SBATCH --mem 32GB #SBATCH --ntasks=1 #SBATCH --cpus-per-task=32 diff --git a/schedule_specific_jobs_walker.sh b/003_walker_experts.sh similarity index 93% rename from schedule_specific_jobs_walker.sh rename to 003_walker_experts.sh index 98899c3..6488fff 100755 --- a/schedule_specific_jobs_walker.sh +++ b/003_walker_experts.sh @@ -1,10 +1,10 @@ #!/bin/bash #SBATCH --array=0-20 -#SBATCH --partition insert_your_partition +#SBATCH --partition alldlc_gpu-rtx2080 #SBATCH --job-name CMbRL_specific_walker -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err +#SBATCH --output logs/slurm/%x-%A-%a.out +#SBATCH --error logs/slurm/%x-%A-%a.err #SBATCH --mem 32GB #SBATCH --ntasks=1 #SBATCH --cpus-per-task=32 diff --git a/schedule_dreams.sh b/004_collect_dreams.sh similarity index 93% rename from schedule_dreams.sh rename to 004_collect_dreams.sh index 9214b83..df49f90 100755 --- a/schedule_dreams.sh +++ b/004_collect_dreams.sh @@ -2,8 +2,8 @@ #SBATCH --partition alldlc_gpu-rtx2080 #SBATCH --job-name CMbRL_array -#SBATCH --output logs/slurm/%x-%A-%a-HelloCluster.out -#SBATCH --error logs/slurm/%x-%A-%a-HelloCluster.err +#SBATCH --output logs/slurm/%x-%A-%a.out +#SBATCH --error logs/slurm/%x-%A-%a.err #SBATCH --mem 32GB #SBATCH --ntasks=1 #SBATCH --cpus-per-task=32 From 8e999bee2b7513306e96b9a4ce568af8c5cef7a1 Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Thu, 7 Mar 2024 20:35:49 +0100 Subject: [PATCH 4/7] update readme again --- README.md | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index ce8593b..e5a56c8 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Dreaming of Many Worlds:Learning Contextual World Models Aids Zero-Shot Generalization in Reinforcement Learning +# Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization in Reinforcement Learning ## Setup @@ -12,11 +12,11 @@ First setup a miniconda environment. ### Main experiments -All our main experiments can be replicated by running `sbatch train_jobs.sh` with slurm. To replicate individual experiments, you have to select one for each of the 4 main options. +All our main experiments can be replicated by running `sbatch 001_main_experiments.sh` with slurm or modify it according to your training environment. To replicate individual experiments, you have to select one for each of the 4 main options. 1. **Task** `carl_classic_cartpole`/`carl_dmc_walker` -2. ***Modality** +2. **Modality** `img` for pixel modality and `obs` for featurized modality 3. **Method** `enc_{$modality}_dec_{$modality}_pgm_ctx` is the cRSSM setting, @@ -34,22 +34,10 @@ python -m contextual_mbrl.dreamer.train --configs carl $scheme --task $task --en python -m contextual_mbrl.dreamer.eval --logdir logs/$experiment_name/$seed ``` -### Dreams -The extrapolated and counterfactual dreams of the trained cartpole models can be obtained using `schedule_dreams.sh`. For individual recording of the dreams for a given context id (refer `envs.py` for context id to context mapping for different environments) for a given experiment run, - -```bash -python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 -``` - -Use the `counterfactual_ctx` flag to provide counterfactual value and record dreams in different true contexts conditioning on this counterfactual value. - -```bash -python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 --counterfactual_ctx 1.0 -``` ### Experts and random policy -To train the experts, evaluate their mean returns and evaluate the models, run `schedule_specific_jobs_carpole/walker.sh`. +To train the experts, evaluate their mean returns and evaluate the models, run `002_cartpole_experts.sh` and `003_walker_experts.sh`. An example to train cartpole export in gravity 17.64 and length 0.9 is @@ -59,6 +47,18 @@ python -m contextual_mbrl.dreamer.eval --logdir logs/specific/carl_classic_cartp python -m contextual_mbrl.dreamer.eval --logdir logs/specific/carl_classic_cartpole_specific_0-17.64_1-0.9/0 --random_policy True ``` +### Dreams +The extrapolated and counterfactual dreams of the trained cartpole models can be obtained using `004_collect_dreams.sh`. For individual recording of the dreams for a given context id (refer `envs.py` for context id to context mapping for different environments) for a given experiment run, + +```bash +python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 +``` + +Use the `counterfactual_ctx` flag to provide counterfactual value and record dreams in different true contexts conditioning on this counterfactual value. + +```bash +python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$seed --ctx_id 1 --counterfactual_ctx 1.0 +``` ## Results The figures can be plotted from the evaluations for all experiments using the notebooks `plot_analysis.ipynb` and `plot_analysis_rliable.ipynb` \ No newline at end of file From 620a4d7a00a3e16f306abb2065dae1b02872ec48 Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Fri, 8 Mar 2024 10:48:07 +0100 Subject: [PATCH 5/7] Fix readme --- README.md | 6 ++++++ readme.md | 5 ----- 2 files changed, 6 insertions(+), 5 deletions(-) delete mode 100755 readme.md diff --git a/README.md b/README.md index e5a56c8..74b9df3 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,12 @@ # Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization in Reinforcement Learning +## Code + +The training and evaluation code for our experiments is at `contextual_mbrl` directory. The `contextual_mbrl/dreamer/envs.py` defines all our context variations for train and eval and `contextual_mbrl/dreamer/configs.yaml` defines all the configurations and hyperparameters for our runs. The `contextual_mbrl/dreamer/record_dreams.py` allows us to record the extrapolated/counterfactual dreams. + +The code in `dreamerv3_compat` is taken from the [fork](https://github.com/Kinds-of-Intelligence-CFI/dreamerv3-compat) which adds gymnasium support to the [official DreamerV3](https://github.com/danijar/dreamerv3) codebase. We changed it to incorporate our cRSSM method. Our changes are localized mainly to `dreamerv3_compat/dreamerv3/nets.py` and `dreamerv3_compat/dreamerv3/agent.py`. + ## Setup ### Conda diff --git a/readme.md b/readme.md deleted file mode 100755 index b6af1fe..0000000 --- a/readme.md +++ /dev/null @@ -1,5 +0,0 @@ -# Setup - -Install `conda env create --name c_mbrl --file environment.yml` - -# Running experiments \ No newline at end of file From 9ec240918f136e90b1ee9bec9772eac56e0bf5c3 Mon Sep 17 00:00:00 2001 From: Sai Date: Fri, 8 Mar 2024 15:39:26 +0100 Subject: [PATCH 6/7] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 74b9df3..128ba78 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization in Reinforcement Learning +# Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization ## Code @@ -67,4 +67,4 @@ python -m contextual_mbrl.dreamer.record_dreams --logdir logs/$experiment_name/$ ``` ## Results -The figures can be plotted from the evaluations for all experiments using the notebooks `plot_analysis.ipynb` and `plot_analysis_rliable.ipynb` \ No newline at end of file +The figures can be plotted from the evaluations for all experiments using the notebooks `plot_analysis.ipynb` and `plot_analysis_rliable.ipynb` From 5b53fa7310a367a7228375819d5b45c5e95ed3fe Mon Sep 17 00:00:00 2001 From: sai-prasanna Date: Fri, 8 Mar 2024 21:28:26 +0100 Subject: [PATCH 7/7] Update removing things and title --- .vscode/extensions.json | 7 - .vscode/launch.json | 70 ------- .vscode/settings.json | 13 -- .../dreamer/record_cart_length_reconstr.py | 181 ------------------ 4 files changed, 271 deletions(-) delete mode 100644 .vscode/extensions.json delete mode 100644 .vscode/launch.json delete mode 100644 .vscode/settings.json delete mode 100644 contextual_mbrl/dreamer/record_cart_length_reconstr.py diff --git a/.vscode/extensions.json b/.vscode/extensions.json deleted file mode 100644 index 3c4174f..0000000 --- a/.vscode/extensions.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "recommendations": [ - "ms-python.black-formatter", - "ms-python.python", - "ms-python.isort", - ] -} \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json deleted file mode 100644 index 3a58a73..0000000 --- a/.vscode/launch.json +++ /dev/null @@ -1,70 +0,0 @@ -{ - // Use IntelliSense to learn about possible attributes. - // Hover to view descriptions of existing attributes. - // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 - - /* # ontextual_mbrl.dreamer.train --configs carl enc_img_ctx_dec_img_ctx --task carl_classic_cartpole --env.carl.context default --seed 10 --logdir logs/$group_name/$seed --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 1 --run.steps 50000 - group_name="carl_classic_cartpole_default_enc_img_ctx_dec_img_ctx" - seed=0 - sys.argv[:1] = ( - f"--configs carl enc_img_ctx_dec_img_ctx --task carl_classic_cartpole --env.carl.context default --seed 10 --logdir logs/{group_name}/{seed} --wandb.group $group_name --jax.policy_devices 0 --jax.train_devices 1 --run.steps 50000" - ).split() - - warnings.filterwarnings("ignore", ".*truncated to dtype int32.*") - warnings.filterwarnings("once", ".*If you want to use these environments.*")*/ - - "version": "0.2.0", - "configurations": [ - { - "name": "Debug Train", - "type": "python", - "request": "launch", - "module": "contextual_mbrl.dreamer.train", - "args": [ - "--configs", - "defaults", - "carl", - "debug", - "--logdir", - "${workspaceFolder}/logs/debug", - ], - "justMyCode": false - }, - { - "name": "Debug Train mine", - "type": "python", - "request": "launch", - "module": "contextual_mbrl.dreamer.train", - "args": [ - "--configs", - "carl", - "enc_img_dec_img", - "add_context", - "debug_gpu", - "--task", - "carl_classic_cartpole", - "--env.carl.context", - "default", - "--seed", - "10", - "--logdir", - "${workspaceFolder}/logs/debug", - "--wandb.project", - "contextual_mbrl", - "--jax.policy_devices", - "0", - "--jax.train_devices", - "0", - ], - "justMyCode": false - }, - { - "name": "Python: Current File", - "type": "python", - "request": "launch", - "program": "${file}", - "console": "integratedTerminal", - "justMyCode": false - } - ] -} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json deleted file mode 100644 index 83c07c4..0000000 --- a/.vscode/settings.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "[python]": { - "editor.defaultFormatter": "ms-python.black-formatter", - "editor.formatOnSave": true, - "editor.codeActionsOnSave": { - "source.organizeImports": "explicit" - }, - }, - "isort.args": [ - "--profile", - "black" - ], -} \ No newline at end of file diff --git a/contextual_mbrl/dreamer/record_cart_length_reconstr.py b/contextual_mbrl/dreamer/record_cart_length_reconstr.py deleted file mode 100644 index 7519568..0000000 --- a/contextual_mbrl/dreamer/record_cart_length_reconstr.py +++ /dev/null @@ -1,181 +0,0 @@ -import logging -import os -import warnings -from collections import defaultdict -from functools import partial - -import cv2 -import dreamerv3 -import jax -import jax.numpy as jnp -import numpy as np -import ruamel.yaml as yaml -from carl.envs.carl_env import CARLEnv -from dreamerv3 import embodied, jaxutils -from dreamerv3 import ninjax as nj -from dreamerv3.embodied.core.logger import _encode_gif - -from contextual_mbrl.dreamer.envs import ( - _TASK2CONTEXTS, - _TASK2ENV, - CARTPOLE_TRAIN_LENGTH_RANGE, - create_wrapped_carl_env, -) -from contextual_mbrl.dreamer.record_dreams import _wrap_dream_agent, generate_envs - -logging.captureWarnings(True) -os.environ["MUJOCO_GL"] = "egl" # use EGL instead of GLFW to render MuJoCo - - -def rollout_cart_length_reconst(agent, env, args, dream_agent_fn, episodes=10): - record_ctx = [] - - def per_episode(ep): - nonlocal agent, record_ctx - batch = {k: np.stack([v], 0) for k, v in ep.items()} - - jax_batch = agent._convert_inps(batch, agent.train_devices) - rng = agent._next_rngs(agent.train_devices) - ret_ctx, _ = dream_agent_fn(agent.varibs, rng, jax_batch) - ret_ctx = agent._convert_mets(ret_ctx, agent.train_devices) - - # Remove normalization of length - ctx = (ret_ctx["ctx"][0] + 1) / 2 * ( - CARTPOLE_TRAIN_LENGTH_RANGE[1] - CARTPOLE_TRAIN_LENGTH_RANGE[0] - ) + CARTPOLE_TRAIN_LENGTH_RANGE[0] - - if np.where(ret_ctx["terminate"] > 0)[0].size > 0: - terminate_idx = np.where(ret_ctx["terminate"] > 0)[0][0] - else: - terminate_idx = len(ret_ctx) - record_ctx.append(ctx[:terminate_idx, 1].mean()) - - driver = embodied.Driver(env) - driver.on_episode(lambda ep, worker: per_episode(ep)) - - checkpoint = embodied.Checkpoint() - checkpoint.agent = agent - checkpoint.load(args.from_checkpoint, keys=["agent"]) - - policy = lambda *args: agent.policy(*args, mode="eval") - driver(policy, episodes=episodes) - return record_ctx - - -def generate_envs(config): - suite, task = config.task.split("_", 1) - assert suite == "carl", suite - assert task == "classic_cartpole", task - assert _TASK2CONTEXTS[task][1]["context"] == "length" - env_cls: CARLEnv = _TASK2ENV[task] - contexts = [] - - for v1 in _TASK2CONTEXTS[task][1]["interpolate_single"]: - c = env_cls.get_default_context() - if ( - config.env.carl.context == "default" - or config.env.carl.context == "single_0" - ) and v1 != c["length"]: - mode = "extrapolate" - else: - mode = "interpolate" - c["length"] = v1 - contexts.append({"context": c, "mode": mode}) - - for v1 in _TASK2CONTEXTS[task][1]["extrapolate_single"]: - c = env_cls.get_default_context() - c["length"] = v1 - mode = "extrapolate" - contexts.append({"context": c, "mode": mode}) - - for context_info in contexts: - envs = [] - ctor = lambda: create_wrapped_carl_env( - env_cls, contexts={0: context_info["context"]}, config=config - ) - ctor = partial(embodied.Parallel, ctor, "process") - envs = [ctor()] - yield embodied.BatchEnv(envs, parallel=True), context_info - - -def main(): - warnings.filterwarnings("ignore", ".*truncated to dtype int32.*") - - warnings.filterwarnings("once", ".*If you want to use these environments.*") - warnings.filterwarnings("module", "carl.*") - - # create argparse with logdir - parsed, other = embodied.Flags(logdir="", ctx_length=-1.0).parse_known() - logdir = embodied.Path(parsed.logdir) - ctx_length = parsed.ctx_length - # load the config from the logdir - config = yaml.YAML(typ="safe").load((logdir / "config.yaml").read()) - config = embodied.Config(config) - # parse the overrides for eval - config = embodied.Flags(config).parse(other) - - checkpoint = logdir / "checkpoint.ckpt" - assert checkpoint.exists(), checkpoint - config = config.update({"run.from_checkpoint": str(checkpoint)}) - - # Just load the step counter from the checkpoint, as there is - # a circular dependency to load the agent. - ckpt = embodied.Checkpoint() - ckpt.step = embodied.Counter() - ckpt.load(checkpoint, keys=["step"]) - step = ckpt._values["step"] - - dream_agent_fn = None - agent = None - ctx_gt_pred = defaultdict(list) - for env, ctx_info in generate_envs(config): - if agent is None: - agent = dreamerv3.Agent(env.obs_space, env.act_space, step, config) - dream_agent_fn = nj.pure(_wrap_dream_agent(agent.agent)) - dream_agent_fn = nj.jit(dream_agent_fn, device=agent.train_devices[0]) - args = embodied.Config( - **config.run, - logdir=config.logdir, - batch_steps=config.batch_size * config.batch_length, - ) - gt = ctx_info["context"]["length"] - ctx_gt_pred[gt] = rollout_cart_length_reconst( - agent, env, args, dream_agent_fn, episodes=5 - ) - env.close() - # scatter plot the ground truth vs predicted length with sns - import matplotlib.pyplot as plt - import pandas as pd - import seaborn as sns - - # Make dataframe with gt vs predicted length, unroll the array - df = pd.DataFrame( - [ - {"gt": gt, "predicted length": pred} - for gt, pred in ctx_gt_pred.items() - for pred in pred - ] - ) - plt.figure(figsize=(20, 10)) - - sns.scatterplot(data=df, x="gt", y="predicted length") - # color the background in training range in green - plt.axvspan( - CARTPOLE_TRAIN_LENGTH_RANGE[0], - CARTPOLE_TRAIN_LENGTH_RANGE[1], - color="green", - alpha=0.1, - ) - - plt.xlabel("ground truth length") - plt.ylabel("predicted length") - plt.title("Ground truth vs Predicted length") - # set y range to start from 0 - plt.ylim(bottom=0) - # show x-ticks - plt.xticks(df["gt"].unique()) - plt.savefig(logdir / "gt_vs_pred_length.pdf") - - -if __name__ == "__main__": - main()