From 87c49a52d15eb16f54ef88c943dbb37fb39d1578 Mon Sep 17 00:00:00 2001 From: PWhiddy Date: Tue, 14 Dec 2021 07:01:22 +0000 Subject: [PATCH] better monitoring and reward upper limit --- VisualizeProgress.ipynb | 204 ++++------------------------- baselines/red_gym_env.py | 10 +- baselines/run_baseline_parallel.py | 2 +- 3 files changed, 36 insertions(+), 180 deletions(-) diff --git a/VisualizeProgress.ipynb b/VisualizeProgress.ipynb index 424bc2b2..a5dbe9db 100644 --- a/VisualizeProgress.ipynb +++ b/VisualizeProgress.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -17,7 +17,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "metadata": { "scrolled": true }, @@ -26,16 +26,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "__pycache__\t\t\t session_2b0dc071\r\n", - "best_12-7\t\t\t session_3c6e719a\r\n", - "final_states\t\t\t session_9311248b\r\n", - "good_run\t\t\t session_9f1fbc1e\r\n", - "grinds_to_level_11_extra_time_14 session_a31f93f2\r\n", - "old_zips\t\t\t session_afe7bb01\r\n", - "red_gym_env.py\t\t\t session_b62d04d2\r\n", - "requirements.txt\t\t session_f07bf8e1\r\n", - "run_baseline.py\t\t\t session_sees_many_poke_and_levels\r\n", - "run_baseline_parallel.py\r\n" + "best_12-7\t\t\t red_gym_env.py\t run_baseline.py\r\n", + "grinds_to_level_11_extra_time_14 requirements.txt\t session_eb0108d3\r\n", + "__pycache__\t\t\t run_baseline_parallel.py session_fe9ae9f0\r\n" ] } ], @@ -45,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -61,35 +54,38 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ - "def plot_runs(all_runs, plot_line=False, use_keys=None, start=0):\n", + "def plot_runs(all_runs, plot_line=False, use_keys=None, start=0, group_runs=1):\n", " \n", " all_runs = all_runs[start:]\n", - " x = np.arange(len(all_runs))\n", + " x = np.arange(len(all_runs)//group_runs)\n", " \n", " def add_plot(y, name, alpha, size, plot_line):\n", - " regr = linear_model.LinearRegression()\n", - " # Optimize linear model\n", - " regr.fit(x.reshape(-1, 1), y.reshape(-1, 1))\n", - "\n", - " # Make predictions using the testing set\n", - " lin_y = regr.predict(x.reshape(-1, 1))\n", - "\n", " plt.scatter(x, y, alpha=alpha, s=size, label=name)\n", " if plot_line:\n", + " regr = linear_model.LinearRegression()\n", + " # Optimize linear model\n", + " regr.fit(x.reshape(-1, 1), y.reshape(-1, 1))\n", + "\n", + " # Make predictions using the testing set\n", + " lin_y = regr.predict(x.reshape(-1, 1))\n", " plt.plot(x, lin_y, linewidth=3)\n", " \n", " # convert list of dictionaries to dictionary of lists\n", " metrics = {m: [run[m] for run in all_runs] for m in all_runs[0].keys()}\n", " metrics['total'] = [sum([v for _,v in run.items()]) for run in all_runs]\n", + " if group_runs:\n", + " for m, dat in metrics.items():\n", + " metrics[m] = np.array(dat).reshape(-1, group_runs).mean(1)\n", " available_keys = metrics.keys()\n", - " print(available_keys)\n", + " print(f'available metrics: {list(available_keys)}')\n", " if use_keys is None:\n", " use_keys = available_keys\n", - " \n", + " \n", + " ## TODO subplot for each metric ## \n", " NUM_COLORS = len(use_keys)\n", " cm = plt.get_cmap('Dark2')\n", " cNorm = colors.Normalize(vmin=0, vmax=NUM_COLORS-1)\n", @@ -103,7 +99,6 @@ " np.array(metrics[m]), m, 1.0, 15.0, plot_line\n", " )\n", " \n", - "\n", " plt.title('Reward over runs PPO')\n", " plt.legend(bbox_to_anchor=(1.04,0.5), loc=\"center left\", borderaxespad=0)\n", " plt.show()" @@ -111,50 +106,20 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "runs loaded: 1\n", - "dict_keys(['all_events', 'seen_poke_count', 'poke_xps', 'poke_levels', 'explore_unique_frames', 'total'])\n" + "runs loaded: 192\n", + "available metrics: ['events', 'seen_poke', 'party_xp', 'levels', 'explore', 'total']\n" ] }, { "data": { - "image/png": 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -167,10 +132,11 @@ ], "source": [ "plot_runs(\n", - " load_run_data('baselines/session_27b1e733'), \n", + " load_run_data('baselines/session_eb0108d3'), \n", " use_keys=None, \n", " plot_line=False,\n", - " start=0\n", + " start=0,\n", + " group_runs=64\n", ")\n" ] }, @@ -181,118 +147,6 @@ "outputs": [], "source": [] }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "64\n" - ] - } - ], - "source": [ - "if load_parallel:\n", - " run_lists = []\n", - " for p in Path(run_path).glob('all_runs_*.json'):\n", - " with open(p, 'r') as f:\n", - " run_lists.append(json.load(f))\n", - " print(len(run_lists))\n", - " all_runs = [val for tup in zip(*run_lists) for val in tup]\n", - "else:\n", - " with open('baselines/all_runs.json', 'r') as f:\n", - " all_runs = json.load(f)" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "all_runs = all_runs[:]" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2304" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(all_runs)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "x = np.arange(len(all_runs))\n", - "y = np.array(all_runs)" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [], - "source": [ - "regr = linear_model.LinearRegression()\n", - "\n", - "# Train the model using the training sets\n", - "regr.fit(x.reshape(-1, 1), y.reshape(-1, 1))\n", - "\n", - "# Make predictions using the testing set\n", - "lin_y = regr.predict(x.reshape(-1, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(x, y, alpha=0.2)\n", - "#plt.plot(x, lin_y, color=\"black\", linewidth=3)\n", - "plt.title('Reward over runs PPO')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": null, @@ -331,7 +185,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.11" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/baselines/red_gym_env.py b/baselines/red_gym_env.py index 52e3126f..6b2c24a3 100644 --- a/baselines/red_gym_env.py +++ b/baselines/red_gym_env.py @@ -70,10 +70,11 @@ def __init__( WindowEvent.RELEASE_BUTTON_B ] + # TODO split up memory for each reward type self.output_shape = (36, 40, 3) self.mem_padding = 2 self.memory_height = 8 - self.col_steps = 16 + self.col_steps = 64 self.output_full = ( self.output_shape[0] + 2 * (self.mem_padding + self.memory_height), self.output_shape[1], @@ -237,10 +238,11 @@ def check_if_done(self): def save_and_print_info(self, done, obs_memory): if self.print_rewards: - print(f'\rstep: {self.step_count:6d}', end='') + prog_string = f'step: {self.step_count:6d}' for key, val in self.progress_reward.items(): - print(f' {key}: {val:6.1f}' - print(f' sum: {self.total_reward:6.1f}', end='', flush=True) + prog_string += f' {key}: {val:6.1f}' + prog_string += f' sum: {self.total_reward:6.1f}' + print(f'\r{prog_string}', end='', flush=True) if self.step_count % 50 == 0: plt.imsave( diff --git a/baselines/run_baseline_parallel.py b/baselines/run_baseline_parallel.py index 905b46be..fddef69a 100644 --- a/baselines/run_baseline_parallel.py +++ b/baselines/run_baseline_parallel.py @@ -36,7 +36,7 @@ def _init(): 'gb_path': '../PokemonRed.gb', 'debug': False, 'sim_frame_dist': 2_000_000.0 } - num_cpu = 40 #46 # Also sets the number of episodes per training iteration + num_cpu = 64 #46 # Also sets the number of episodes per training iteration env = SubprocVecEnv([make_env(i, env_config) for i in range(num_cpu)]) #env_checker.check_env(env) learn_steps = 40