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ray/doc/source/tune/examples/zoopt_example.ipynb
Kai Fricke 803c094534
[air/tuner/docs] Update docs for Tuner() API 2b: Tune examples (ipynb) (#26884) 
This PR updates the Ray AIR/Tune ipynb examples to use the Tuner() API instead of tune.run().

Signed-off-by: Kai Fricke <kai@anyscale.com>
Signed-off-by: Richard Liaw <rliaw@berkeley.edu>
Signed-off-by: Xiaowei Jiang <xwjiang2010@gmail.com>
Signed-off-by: Kai Fricke <coding@kaifricke.com>

Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
Co-authored-by: Xiaowei Jiang <xwjiang2010@gmail.com>
2022-07-24 18:53:57 +01:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "a97c49a9",
"metadata": {},
"source": [
"# Running Tune experiments with ZOOpt\n",
"\n",
"In this tutorial we introduce ZOOpt, while running a simple Ray Tune experiment. Tune’s Search Algorithms integrate with ZOOpt and, as a result, allow you to seamlessly scale up a ZOOpt optimization process - without sacrificing performance.\n",
"\n",
"Zeroth-order optimization (ZOOpt) does not rely on the gradient of the objective function, but instead, learns from samples of the search space. It is suitable for optimizing functions that are nondifferentiable, with many local minima, or even unknown but only testable. Therefore, zeroth-order optimization is commonly referred to as \"derivative-free optimization\" and \"black-box optimization\". In this example we minimize a simple objective to briefly demonstrate the usage of ZOOpt with Ray Tune via `ZOOptSearch`. It's useful to keep in mind that despite the emphasis on machine learning experiments, Ray Tune optimizes any implicit or explicit objective. Here we assume `zoopt==0.4.1` library is installed. To learn more, please refer to the [ZOOpt website](https://github.com/polixir/ZOOpt)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "58fee596",
"metadata": {
"tags": [
"remove-cell"
]
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: zoopt==0.4.1 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (0.4.1)\n",
"Requirement already satisfied: matplotlib in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from zoopt==0.4.1) (3.5.0)\n",
"Requirement already satisfied: numpy in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from zoopt==0.4.1) (1.21.6)\n",
"Requirement already satisfied: cycler>=0.10 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (0.11.0)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (2.8.2)\n",
"Requirement already satisfied: fonttools>=4.22.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (4.28.2)\n",
"Requirement already satisfied: packaging>=20.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (21.3)\n",
"Requirement already satisfied: pillow>=6.2.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (9.1.0)\n",
"Requirement already satisfied: setuptools-scm>=4 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (6.3.2)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (1.3.2)\n",
"Requirement already satisfied: pyparsing>=2.2.1 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from matplotlib->zoopt==0.4.1) (2.4.7)\n",
"Requirement already satisfied: six>=1.5 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from python-dateutil>=2.7->matplotlib->zoopt==0.4.1) (1.16.0)\n",
"Requirement already satisfied: setuptools in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from setuptools-scm>=4->matplotlib->zoopt==0.4.1) (59.5.0)\n",
"Requirement already satisfied: tomli>=1.0.0 in /Users/kai/.pyenv/versions/3.7.7/lib/python3.7/site-packages (from setuptools-scm>=4->matplotlib->zoopt==0.4.1) (1.2.3)\n",
"\u001b[33mWARNING: There was an error checking the latest version of pip.\u001b[0m\u001b[33m\n",
"\u001b[0m"
]
}
],
"source": [
"# !pip install ray[tune]\n",
"!pip install zoopt==0.4.1"
]
},
{
"cell_type": "markdown",
"id": "a9c8a34b",
"metadata": {},
"source": [
"Click below to see all the imports we need for this example.\n",
"You can also launch directly into a Binder instance to run this notebook yourself.\n",
"Just click on the rocket symbol at the top of the navigation."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d05017fe",
"metadata": {
"tags": [
"hide-input"
]
},
"outputs": [],
"source": [
"import time\n",
"\n",
"import ray\n",
"from ray import tune\n",
"from ray.air import session\n",
"from ray.tune.search.zoopt import ZOOptSearch\n",
"from zoopt import ValueType"
]
},
{
"cell_type": "markdown",
"id": "5a41255a",
"metadata": {},
"source": [
"Let's start by defining a simple evaluation function.\n",
"We artificially sleep for a bit (`0.1` seconds) to simulate a long-running ML experiment.\n",
"This setup assumes that we're running multiple `step`s of an experiment and try to tune two hyperparameters,\n",
"namely `width` and `height`, and `activation`."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "61db0806",
"metadata": {},
"outputs": [],
"source": [
"def evaluate(step, width, height):\n",
" time.sleep(0.1)\n",
" return (0.1 + width * step / 100) ** (-1) + height * 0.1"
]
},
{
"cell_type": "markdown",
"id": "a979f791",
"metadata": {},
"source": [
"Next, our ``objective`` function takes a Tune ``config``, evaluates the `score` of your experiment in a training loop,\n",
"and uses `session.report` to report the `score` back to Tune."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3b451a2c",
"metadata": {},
"outputs": [],
"source": [
"def objective(config):\n",
" for step in range(config[\"steps\"]):\n",
" score = evaluate(step, config[\"width\"], config[\"height\"])\n",
" session.report({\"iterations\": step, \"mean_loss\": score})"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ad4f9faf",
"metadata": {
"lines_to_next_cell": 0,
"tags": [
"remove-cell"
]
},
"outputs": [
{
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" <table>\n",
" <tr>\n",
" <td style=\"text-align: left\"><b>Python version:</b></td>\n",
" <td style=\"text-align: left\"><b>3.7.7</b></td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left\"><b>Ray version:</b></td>\n",
" <td style=\"text-align: left\"><b> 3.0.0.dev0</b></td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left\"><b>Dashboard:</b></td>\n",
" <td style=\"text-align: left\"><b><a href=\"http://127.0.0.1:8266\" target=\"_blank\">http://127.0.0.1:8266</a></b></td>\n",
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"RayContext(dashboard_url='127.0.0.1:8266', python_version='3.7.7', ray_version='3.0.0.dev0', ray_commit='{{RAY_COMMIT_SHA}}', address_info={'node_ip_address': '127.0.0.1', 'raylet_ip_address': '127.0.0.1', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-07-22_15-35-29_724425_47582/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-07-22_15-35-29_724425_47582/sockets/raylet', 'webui_url': '127.0.0.1:8266', 'session_dir': '/tmp/ray/session_2022-07-22_15-35-29_724425_47582', 'metrics_export_port': 63508, 'gcs_address': '127.0.0.1:65155', 'address': '127.0.0.1:65155', 'dashboard_agent_listen_port': 52365, 'node_id': 'cecb81f61b8504b3ccfcd881ed1c79c3b7d184be1ba13216cb7e3957'})"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ray.init(configure_logging=False)"
]
},
{
"cell_type": "markdown",
"id": "036e0085",
"metadata": {},
"source": [
"Next we define a search space. The critical assumption is that the optimal hyperparameters live within this space. Yet, if the space is very large, then those hyperparameters may be difficult to find in a short amount of time."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b28469ce",
"metadata": {},
"outputs": [],
"source": [
"search_config = {\n",
" \"steps\": 100,\n",
" \"width\": tune.randint(0, 10),\n",
" \"height\": tune.quniform(-10, 10, 1e-2),\n",
" \"activation\": tune.choice([\"relu, tanh\"])\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "599b1ece",
"metadata": {},
"source": [
"The number of samples is the number of hyperparameter combinations that will be tried out. This Tune run is set to `1000` samples.\n",
"(you can decrease this if it takes too long on your machine)."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "94fcbc63",
"metadata": {},
"outputs": [],
"source": [
"num_samples = 1000"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "33f11052",
"metadata": {
"tags": [
"remove-cell"
]
},
"outputs": [],
"source": [
"# If 1000 samples take too long, you can reduce this number.\n",
"# We override this number here for our smoke tests.\n",
"num_samples = 10"
]
},
{
"cell_type": "markdown",
"id": "c5b47448",
"metadata": {},
"source": [
"Next we define the search algorithm built from `ZOOptSearch`, constrained to a maximum of `8` concurrent trials via ZOOpt's internal `\"parallel_num\"`."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "22c15bc5",
"metadata": {},
"outputs": [],
"source": [
"zoopt_config = {\n",
" \"parallel_num\": 8\n",
"}\n",
"algo = ZOOptSearch(\n",
" algo=\"Asracos\", # only supports ASRacos currently\n",
" budget=num_samples,\n",
" **zoopt_config,\n",
")"
]
},
{
"cell_type": "markdown",
"id": "f5147bec",
"metadata": {},
"source": [
"Finally, we run the experiment to `\"min\"`imize the \"mean_loss\" of the `objective` by searching `search_config` via `algo`, `num_samples` times. This previous sentence is fully characterizes the search problem we aim to solve. With this in mind, notice how efficient it is to execute `tuner.fit()`."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b51e7a31",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Function checkpointing is disabled. This may result in unexpected behavior when using checkpointing features or certain schedulers. To enable, set the train function arguments to be `func(config, checkpoint_dir=None)`.\n"
]
},
{
"data": {
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"== Status ==<br>Current time: 2022-07-22 15:36:05 (running for 00:00:29.94)<br>Memory usage on this node: 11.1/16.0 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/5.39 GiB heap, 0.0/2.0 GiB objects<br>Current best trial: 963faf2a with mean_loss=-0.39843708609271516 and parameters={'steps': 100, 'width': 6, 'height': -5.64, 'activation': 'relu, tanh'}<br>Result logdir: /Users/kai/ray_results/objective_2022-07-22_15-35-34<br>Number of trials: 7/10 (7 TERMINATED)<br><table>\n",
"<thead>\n",
"<tr><th>Trial name </th><th>status </th><th>loc </th><th>activation </th><th style=\"text-align: right;\"> height</th><th style=\"text-align: right;\"> width</th><th style=\"text-align: right;\"> loss</th><th style=\"text-align: right;\"> iter</th><th style=\"text-align: right;\"> total time (s)</th><th style=\"text-align: right;\"> iterations</th><th style=\"text-align: right;\"> neg_mean_loss</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>objective_8c72f588</td><td>TERMINATED</td><td>127.0.0.1:47662</td><td>relu, tanh </td><td style=\"text-align: right;\"> -3.94</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> 9.606 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.9102</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -9.606 </td></tr>\n",
"<tr><td>objective_8e2f11ae</td><td>TERMINATED</td><td>127.0.0.1:47667</td><td>relu, tanh </td><td style=\"text-align: right;\"> -0.68</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 0.0975629</td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7479</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.0975629</td></tr>\n",
"<tr><td>objective_8e30a596</td><td>TERMINATED</td><td>127.0.0.1:47668</td><td>relu, tanh </td><td style=\"text-align: right;\"> -5.84</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> 9.416 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7724</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -9.416 </td></tr>\n",
"<tr><td>objective_8e32324e</td><td>TERMINATED</td><td>127.0.0.1:47669</td><td>relu, tanh </td><td style=\"text-align: right;\"> -2.15</td><td style=\"text-align: right;\"> 3</td><td style=\"text-align: right;\"> 0.110733 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7684</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.110733 </td></tr>\n",
"<tr><td>objective_963faf2a</td><td>TERMINATED</td><td>127.0.0.1:47689</td><td>relu, tanh </td><td style=\"text-align: right;\"> -5.64</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\">-0.398437 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.8267</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> 0.398437 </td></tr>\n",
"<tr><td>objective_96417df0</td><td>TERMINATED</td><td>127.0.0.1:47690</td><td>relu, tanh </td><td style=\"text-align: right;\"> 2.84</td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 0.449563 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.821 </td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.449563 </td></tr>\n",
"<tr><td>objective_96435da0</td><td>TERMINATED</td><td>127.0.0.1:47691</td><td>relu, tanh </td><td style=\"text-align: right;\"> 2.6 </td><td style=\"text-align: right;\"> 6</td><td style=\"text-align: right;\"> 0.425563 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7694</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.425563 </td></tr>\n",
"</tbody>\n",
"</table><br><br>"
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"text": [
"Result for objective_8c72f588:\n",
" date: 2022-07-22_15-35-38\n",
" done: false\n",
" experiment_id: 3eb9bcef55e341b0970abd6c1f97eda7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.606\n",
" neg_mean_loss: -9.606\n",
" node_ip: 127.0.0.1\n",
" pid: 47662\n",
" time_since_restore: 0.10410094261169434\n",
" time_this_iter_s: 0.10410094261169434\n",
" time_total_s: 0.10410094261169434\n",
" timestamp: 1658500538\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 8c72f588\n",
" warmup_time: 0.003092050552368164\n",
" \n",
"Result for objective_8e30a596:\n",
" date: 2022-07-22_15-35-41\n",
" done: false\n",
" experiment_id: d58453075b71453ab615e10ae9713072\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.416\n",
" neg_mean_loss: -9.416\n",
" node_ip: 127.0.0.1\n",
" pid: 47668\n",
" time_since_restore: 0.1051950454711914\n",
" time_this_iter_s: 0.1051950454711914\n",
" time_total_s: 0.1051950454711914\n",
" timestamp: 1658500541\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 8e30a596\n",
" warmup_time: 0.004169940948486328\n",
" \n",
"Result for objective_8e32324e:\n",
" date: 2022-07-22_15-35-41\n",
" done: false\n",
" experiment_id: 22c7ba8baa2644479b661e6d91e5fae8\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.785\n",
" neg_mean_loss: -9.785\n",
" node_ip: 127.0.0.1\n",
" pid: 47669\n",
" time_since_restore: 0.10500001907348633\n",
" time_this_iter_s: 0.10500001907348633\n",
" time_total_s: 0.10500001907348633\n",
" timestamp: 1658500541\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 8e32324e\n",
" warmup_time: 0.004729032516479492\n",
" \n",
"Result for objective_8e2f11ae:\n",
" date: 2022-07-22_15-35-41\n",
" done: false\n",
" experiment_id: c4d325574058491c8af3a0c869f0ebe5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.932\n",
" neg_mean_loss: -9.932\n",
" node_ip: 127.0.0.1\n",
" pid: 47667\n",
" time_since_restore: 0.10310196876525879\n",
" time_this_iter_s: 0.10310196876525879\n",
" time_total_s: 0.10310196876525879\n",
" timestamp: 1658500541\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 8e2f11ae\n",
" warmup_time: 0.0029730796813964844\n",
" \n",
"Result for objective_8c72f588:\n",
" date: 2022-07-22_15-35-43\n",
" done: false\n",
" experiment_id: 3eb9bcef55e341b0970abd6c1f97eda7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 45\n",
" iterations_since_restore: 46\n",
" mean_loss: 9.606\n",
" neg_mean_loss: -9.606\n",
" node_ip: 127.0.0.1\n",
" pid: 47662\n",
" time_since_restore: 5.112913131713867\n",
" time_this_iter_s: 0.10695910453796387\n",
" time_total_s: 5.112913131713867\n",
" timestamp: 1658500543\n",
" timesteps_since_restore: 0\n",
" training_iteration: 46\n",
" trial_id: 8c72f588\n",
" warmup_time: 0.003092050552368164\n",
" \n",
"Result for objective_8e30a596:\n",
" date: 2022-07-22_15-35-46\n",
" done: false\n",
" experiment_id: d58453075b71453ab615e10ae9713072\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 9.416\n",
" neg_mean_loss: -9.416\n",
" node_ip: 127.0.0.1\n",
" pid: 47668\n",
" time_since_restore: 5.1615166664123535\n",
" time_this_iter_s: 0.10595178604125977\n",
" time_total_s: 5.1615166664123535\n",
" timestamp: 1658500546\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 8e30a596\n",
" warmup_time: 0.004169940948486328\n",
" \n",
"Result for objective_8e2f11ae:\n",
" date: 2022-07-22_15-35-46\n",
" done: false\n",
" experiment_id: c4d325574058491c8af3a0c869f0ebe5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.2744657534246575\n",
" neg_mean_loss: -0.2744657534246575\n",
" node_ip: 127.0.0.1\n",
" pid: 47667\n",
" time_since_restore: 5.1498119831085205\n",
" time_this_iter_s: 0.10741090774536133\n",
" time_total_s: 5.1498119831085205\n",
" timestamp: 1658500546\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 8e2f11ae\n",
" warmup_time: 0.0029730796813964844\n",
" \n",
"Result for objective_8e32324e:\n",
" date: 2022-07-22_15-35-46\n",
" done: false\n",
" experiment_id: 22c7ba8baa2644479b661e6d91e5fae8\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.44725165562913916\n",
" neg_mean_loss: -0.44725165562913916\n",
" node_ip: 127.0.0.1\n",
" pid: 47669\n",
" time_since_restore: 5.166383981704712\n",
" time_this_iter_s: 0.1064291000366211\n",
" time_total_s: 5.166383981704712\n",
" timestamp: 1658500546\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 8e32324e\n",
" warmup_time: 0.004729032516479492\n",
" \n",
"Result for objective_8c72f588:\n",
" date: 2022-07-22_15-35-48\n",
" done: false\n",
" experiment_id: 3eb9bcef55e341b0970abd6c1f97eda7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 92\n",
" iterations_since_restore: 93\n",
" mean_loss: 9.606\n",
" neg_mean_loss: -9.606\n",
" node_ip: 127.0.0.1\n",
" pid: 47662\n",
" time_since_restore: 10.156940937042236\n",
" time_this_iter_s: 0.10845208168029785\n",
" time_total_s: 10.156940937042236\n",
" timestamp: 1658500548\n",
" timesteps_since_restore: 0\n",
" training_iteration: 93\n",
" trial_id: 8c72f588\n",
" warmup_time: 0.003092050552368164\n",
" \n",
"Result for objective_8c72f588:\n",
" date: 2022-07-22_15-35-49\n",
" done: true\n",
" experiment_id: 3eb9bcef55e341b0970abd6c1f97eda7\n",
" experiment_tag: 1_activation=relu_tanh,height=-3.9400,steps=100,width=0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 9.606\n",
" neg_mean_loss: -9.606\n",
" node_ip: 127.0.0.1\n",
" pid: 47662\n",
" time_since_restore: 10.910246133804321\n",
" time_this_iter_s: 0.1059122085571289\n",
" time_total_s: 10.910246133804321\n",
" timestamp: 1658500549\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 8c72f588\n",
" warmup_time: 0.003092050552368164\n",
" \n",
"Result for objective_8e2f11ae:\n",
" date: 2022-07-22_15-35-51\n",
" done: false\n",
" experiment_id: c4d325574058491c8af3a0c869f0ebe5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.10621602787456447\n",
" neg_mean_loss: -0.10621602787456447\n",
" node_ip: 127.0.0.1\n",
" pid: 47667\n",
" time_since_restore: 10.211436986923218\n",
" time_this_iter_s: 0.10804891586303711\n",
" time_total_s: 10.211436986923218\n",
" timestamp: 1658500551\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 8e2f11ae\n",
" warmup_time: 0.0029730796813964844\n",
" \n",
"Result for objective_8e32324e:\n",
" date: 2022-07-22_15-35-51\n",
" done: false\n",
" experiment_id: 22c7ba8baa2644479b661e6d91e5fae8\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.12746575342465752\n",
" neg_mean_loss: -0.12746575342465752\n",
" node_ip: 127.0.0.1\n",
" pid: 47669\n",
" time_since_restore: 10.228847980499268\n",
" time_this_iter_s: 0.10761308670043945\n",
" time_total_s: 10.228847980499268\n",
" timestamp: 1658500551\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 8e32324e\n",
" warmup_time: 0.004729032516479492\n",
" \n",
"Result for objective_8e30a596:\n",
" date: 2022-07-22_15-35-51\n",
" done: false\n",
" experiment_id: d58453075b71453ab615e10ae9713072\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 9.416\n",
" neg_mean_loss: -9.416\n",
" node_ip: 127.0.0.1\n",
" pid: 47668\n",
" time_since_restore: 10.231056928634644\n",
" time_this_iter_s: 0.10677409172058105\n",
" time_total_s: 10.231056928634644\n",
" timestamp: 1658500551\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 8e30a596\n",
" warmup_time: 0.004169940948486328\n",
" \n",
"Result for objective_8e2f11ae:\n",
" date: 2022-07-22_15-35-52\n",
" done: true\n",
" experiment_id: c4d325574058491c8af3a0c869f0ebe5\n",
" experiment_tag: 2_activation=relu_tanh,height=-0.6800,steps=100,width=6\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.09756291390728478\n",
" neg_mean_loss: -0.09756291390728478\n",
" node_ip: 127.0.0.1\n",
" pid: 47667\n",
" time_since_restore: 10.747868061065674\n",
" time_this_iter_s: 0.10819792747497559\n",
" time_total_s: 10.747868061065674\n",
" timestamp: 1658500552\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 8e2f11ae\n",
" warmup_time: 0.0029730796813964844\n",
" \n",
"Result for objective_8e32324e:\n",
" date: 2022-07-22_15-35-52\n",
" done: true\n",
" experiment_id: 22c7ba8baa2644479b661e6d91e5fae8\n",
" experiment_tag: 4_activation=relu_tanh,height=-2.1500,steps=100,width=3\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.11073289902280128\n",
" neg_mean_loss: -0.11073289902280128\n",
" node_ip: 127.0.0.1\n",
" pid: 47669\n",
" time_since_restore: 10.768368005752563\n",
" time_this_iter_s: 0.10648989677429199\n",
" time_total_s: 10.768368005752563\n",
" timestamp: 1658500552\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 8e32324e\n",
" warmup_time: 0.004729032516479492\n",
" \n",
"Result for objective_8e30a596:\n",
" date: 2022-07-22_15-35-52\n",
" done: true\n",
" experiment_id: d58453075b71453ab615e10ae9713072\n",
" experiment_tag: 3_activation=relu_tanh,height=-5.8400,steps=100,width=0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 9.416\n",
" neg_mean_loss: -9.416\n",
" node_ip: 127.0.0.1\n",
" pid: 47668\n",
" time_since_restore: 10.7723867893219\n",
" time_this_iter_s: 0.10686278343200684\n",
" time_total_s: 10.7723867893219\n",
" timestamp: 1658500552\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 8e30a596\n",
" warmup_time: 0.004169940948486328\n",
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result for objective_96417df0:\n",
" date: 2022-07-22_15-35-54\n",
" done: false\n",
" experiment_id: e98b245717b4423d8917589cf5d42088\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.284\n",
" neg_mean_loss: -10.284\n",
" node_ip: 127.0.0.1\n",
" pid: 47690\n",
" time_since_restore: 0.10359907150268555\n",
" time_this_iter_s: 0.10359907150268555\n",
" time_total_s: 0.10359907150268555\n",
" timestamp: 1658500554\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 96417df0\n",
" warmup_time: 0.003325939178466797\n",
" \n",
"Result for objective_96435da0:\n",
" date: 2022-07-22_15-35-54\n",
" done: false\n",
" experiment_id: 8680a80a099c452dadd3be44d3457ca5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.26\n",
" neg_mean_loss: -10.26\n",
" node_ip: 127.0.0.1\n",
" pid: 47691\n",
" time_since_restore: 0.10206389427185059\n",
" time_this_iter_s: 0.10206389427185059\n",
" time_total_s: 0.10206389427185059\n",
" timestamp: 1658500554\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 96435da0\n",
" warmup_time: 0.002891063690185547\n",
" \n",
"Result for objective_963faf2a:\n",
" date: 2022-07-22_15-35-54\n",
" done: false\n",
" experiment_id: f28968c2634348c2ae4b0118cc844687\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.436\n",
" neg_mean_loss: -9.436\n",
" node_ip: 127.0.0.1\n",
" pid: 47689\n",
" time_since_restore: 0.10424089431762695\n",
" time_this_iter_s: 0.10424089431762695\n",
" time_total_s: 0.10424089431762695\n",
" timestamp: 1658500554\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 963faf2a\n",
" warmup_time: 0.002835988998413086\n",
" \n",
"Result for objective_96417df0:\n",
" date: 2022-07-22_15-35-59\n",
" done: false\n",
" experiment_id: e98b245717b4423d8917589cf5d42088\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 46\n",
" iterations_since_restore: 47\n",
" mean_loss: 0.6336503496503496\n",
" neg_mean_loss: -0.6336503496503496\n",
" node_ip: 127.0.0.1\n",
" pid: 47690\n",
" time_since_restore: 5.134061098098755\n",
" time_this_iter_s: 0.1091001033782959\n",
" time_total_s: 5.134061098098755\n",
" timestamp: 1658500559\n",
" timesteps_since_restore: 0\n",
" training_iteration: 47\n",
" trial_id: 96417df0\n",
" warmup_time: 0.003325939178466797\n",
" \n",
"Result for objective_96435da0:\n",
" date: 2022-07-22_15-35-59\n",
" done: false\n",
" experiment_id: 8680a80a099c452dadd3be44d3457ca5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.6024657534246576\n",
" neg_mean_loss: -0.6024657534246576\n",
" node_ip: 127.0.0.1\n",
" pid: 47691\n",
" time_since_restore: 5.1902501583099365\n",
" time_this_iter_s: 0.10941314697265625\n",
" time_total_s: 5.1902501583099365\n",
" timestamp: 1658500559\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 96435da0\n",
" warmup_time: 0.002891063690185547\n",
" \n",
"Result for objective_963faf2a:\n",
" date: 2022-07-22_15-35-59\n",
" done: false\n",
" experiment_id: f28968c2634348c2ae4b0118cc844687\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 46\n",
" iterations_since_restore: 47\n",
" mean_loss: -0.21434965034965026\n",
" neg_mean_loss: 0.21434965034965026\n",
" node_ip: 127.0.0.1\n",
" pid: 47689\n",
" time_since_restore: 5.137102127075195\n",
" time_this_iter_s: 0.10854196548461914\n",
" time_total_s: 5.137102127075195\n",
" timestamp: 1658500559\n",
" timesteps_since_restore: 0\n",
" training_iteration: 47\n",
" trial_id: 963faf2a\n",
" warmup_time: 0.002835988998413086\n",
" \n",
"Result for objective_96417df0:\n",
" date: 2022-07-22_15-36-04\n",
" done: false\n",
" experiment_id: e98b245717b4423d8917589cf5d42088\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 93\n",
" iterations_since_restore: 94\n",
" mean_loss: 0.46005633802816903\n",
" neg_mean_loss: -0.46005633802816903\n",
" node_ip: 127.0.0.1\n",
" pid: 47690\n",
" time_since_restore: 10.175445079803467\n",
" time_this_iter_s: 0.10581207275390625\n",
" time_total_s: 10.175445079803467\n",
" timestamp: 1658500564\n",
" timesteps_since_restore: 0\n",
" training_iteration: 94\n",
" trial_id: 96417df0\n",
" warmup_time: 0.003325939178466797\n",
" \n",
"Result for objective_96435da0:\n",
" date: 2022-07-22_15-36-05\n",
" done: false\n",
" experiment_id: 8680a80a099c452dadd3be44d3457ca5\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.4342160278745645\n",
" neg_mean_loss: -0.4342160278745645\n",
" node_ip: 127.0.0.1\n",
" pid: 47691\n",
" time_since_restore: 10.23218584060669\n",
" time_this_iter_s: 0.10732793807983398\n",
" time_total_s: 10.23218584060669\n",
" timestamp: 1658500565\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 96435da0\n",
" warmup_time: 0.002891063690185547\n",
" \n",
"Result for objective_963faf2a:\n",
" date: 2022-07-22_15-36-05\n",
" done: false\n",
" experiment_id: f28968c2634348c2ae4b0118cc844687\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 93\n",
" iterations_since_restore: 94\n",
" mean_loss: -0.38794366197183094\n",
" neg_mean_loss: 0.38794366197183094\n",
" node_ip: 127.0.0.1\n",
" pid: 47689\n",
" time_since_restore: 10.181179761886597\n",
" time_this_iter_s: 0.10726284980773926\n",
" time_total_s: 10.181179761886597\n",
" timestamp: 1658500565\n",
" timesteps_since_restore: 0\n",
" training_iteration: 94\n",
" trial_id: 963faf2a\n",
" warmup_time: 0.002835988998413086\n",
" \n",
"Result for objective_96417df0:\n",
" date: 2022-07-22_15-36-05\n",
" done: true\n",
" experiment_id: e98b245717b4423d8917589cf5d42088\n",
" experiment_tag: 6_activation=relu_tanh,height=2.8400,steps=100,width=6\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.44956291390728476\n",
" neg_mean_loss: -0.44956291390728476\n",
" node_ip: 127.0.0.1\n",
" pid: 47690\n",
" time_since_restore: 10.820996046066284\n",
" time_this_iter_s: 0.10588788986206055\n",
" time_total_s: 10.820996046066284\n",
" timestamp: 1658500565\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 96417df0\n",
" warmup_time: 0.003325939178466797\n",
" \n",
"Result for objective_96435da0:\n",
" date: 2022-07-22_15-36-05\n",
" done: true\n",
" experiment_id: 8680a80a099c452dadd3be44d3457ca5\n",
" experiment_tag: 7_activation=relu_tanh,height=2.6000,steps=100,width=6\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.4255629139072848\n",
" neg_mean_loss: -0.4255629139072848\n",
" node_ip: 127.0.0.1\n",
" pid: 47691\n",
" time_since_restore: 10.769440174102783\n",
" time_this_iter_s: 0.10849618911743164\n",
" time_total_s: 10.769440174102783\n",
" timestamp: 1658500565\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 96435da0\n",
" warmup_time: 0.002891063690185547\n",
" \n",
"Result for objective_963faf2a:\n",
" date: 2022-07-22_15-36-05\n",
" done: true\n",
" experiment_id: f28968c2634348c2ae4b0118cc844687\n",
" experiment_tag: 5_activation=relu_tanh,height=-5.6400,steps=100,width=6\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: -0.39843708609271516\n",
" neg_mean_loss: 0.39843708609271516\n",
" node_ip: 127.0.0.1\n",
" pid: 47689\n",
" time_since_restore: 10.826673984527588\n",
" time_this_iter_s: 0.10800504684448242\n",
" time_total_s: 10.826673984527588\n",
" timestamp: 1658500565\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 963faf2a\n",
" warmup_time: 0.002835988998413086\n",
" \n"
]
}
],
"source": [
"tuner = tune.Tuner(\n",
" objective,\n",
" tune_config=tune.TuneConfig(\n",
" metric=\"mean_loss\",\n",
" mode=\"min\",\n",
" search_alg=algo,\n",
" num_samples=num_samples,\n",
" ),\n",
" param_space=search_config,\n",
")\n",
"results = tuner.fit()"
]
},
{
"cell_type": "markdown",
"id": "8b1080a3",
"metadata": {},
"source": [
"Here are the hyperparamters found to minimize the mean loss of the defined objective."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c2fb0f9c",
"metadata": {
"lines_to_next_cell": 0
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best hyperparameters found were: {'steps': 100, 'width': 6, 'height': -5.64, 'activation': 'relu, tanh'}\n"
]
}
],
"source": [
"print(\"Best hyperparameters found were: \", results.get_best_result().config)"
]
},
{
"cell_type": "markdown",
"id": "48d0547d",
"metadata": {},
"source": [
"## Optional: passing the parameter space into the search algorithm\n",
"\n",
"We can also pass the parameter space ourselves in the following formats: \n",
"- continuous dimensions: (continuous, search_range, precision)\n",
"- discrete dimensions: (discrete, search_range, has_order)\n",
"- grid dimensions: (grid, grid_list)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "00763339",
"metadata": {},
"outputs": [],
"source": [
"space = {\n",
" \"height\": (ValueType.CONTINUOUS, [-10, 10], 1e-2),\n",
" \"width\": (ValueType.DISCRETE, [0, 10], True),\n",
" \"layers\": (ValueType.GRID, [4, 8, 16])\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "54ecd17b",
"metadata": {},
"source": [
"ZOOpt again handles constraining the amount of concurrent trials with `\"parallel_num\"`."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "9ea6d7be",
"metadata": {},
"outputs": [],
"source": [
"zoopt_search_config = {\n",
" \"parallel_num\": 8,\n",
" \"metric\": \"mean_loss\",\n",
" \"mode\": \"min\"\n",
"}\n",
"algo = ZOOptSearch(\n",
" algo=\"Asracos\",\n",
" budget=num_samples,\n",
" dim_dict=space,\n",
" **zoopt_search_config\n",
")"
]
},
{
"cell_type": "markdown",
"id": "b0b0be8b",
"metadata": {},
"source": [
"This time we pass only `\"steps\"` and `\"activation\"` to the Tune `config` because `\"height\"` and `\"width\"` have been passed into `ZOOptSearch` to create the `search_algo`. \n",
"Again, we run the experiment to `\"min\"`imize the \"mean_loss\" of the `objective` by searching `search_config` via `algo`, `num_samples` times."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "7995ede5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"== Status ==<br>Current time: 2022-07-22 15:36:35 (running for 00:00:29.76)<br>Memory usage on this node: 8.2/16.0 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/16 CPUs, 0/0 GPUs, 0.0/5.39 GiB heap, 0.0/2.0 GiB objects<br>Current best trial: a7fcf02e with mean_loss=-0.7457524893314368 and parameters={'steps': 100, 'height': -8.88, 'width': 7, 'layers': 16}<br>Result logdir: /Users/kai/ray_results/objective_2022-07-22_15-36-05<br>Number of trials: 10/10 (10 TERMINATED)<br><table>\n",
"<thead>\n",
"<tr><th>Trial name </th><th>status </th><th>loc </th><th style=\"text-align: right;\"> height</th><th style=\"text-align: right;\"> layers</th><th style=\"text-align: right;\"> width</th><th style=\"text-align: right;\"> loss</th><th style=\"text-align: right;\"> iter</th><th style=\"text-align: right;\"> total time (s)</th><th style=\"text-align: right;\"> iterations</th><th style=\"text-align: right;\"> neg_mean_loss</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"<tr><td>objective_9e64c92e</td><td>TERMINATED</td><td>127.0.0.1:47713</td><td style=\"text-align: right;\"> -8.08</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 0</td><td style=\"text-align: right;\"> 9.192 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7118</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -9.192 </td></tr>\n",
"<tr><td>objective_9ff31930</td><td>TERMINATED</td><td>127.0.0.1:47718</td><td style=\"text-align: right;\"> 0.38</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 0.180248 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7315</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.180248 </td></tr>\n",
"<tr><td>objective_9ff47d0c</td><td>TERMINATED</td><td>127.0.0.1:47719</td><td style=\"text-align: right;\"> 5.09</td><td style=\"text-align: right;\"> 4</td><td style=\"text-align: right;\"> 10</td><td style=\"text-align: right;\"> 0.609 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7924</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.609 </td></tr>\n",
"<tr><td>objective_9ff5c2b6</td><td>TERMINATED</td><td>127.0.0.1:47720</td><td style=\"text-align: right;\"> 5.26</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 1</td><td style=\"text-align: right;\"> 1.44343 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7868</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -1.44343 </td></tr>\n",
"<tr><td>objective_a7f414d6</td><td>TERMINATED</td><td>127.0.0.1:47737</td><td style=\"text-align: right;\"> 0.38</td><td style=\"text-align: right;\"> 4</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 0.180248 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7232</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.180248 </td></tr>\n",
"<tr><td>objective_a7f5c682</td><td>TERMINATED</td><td>127.0.0.1:47738</td><td style=\"text-align: right;\"> -2.38</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\">-0.0957525</td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7337</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> 0.0957525</td></tr>\n",
"<tr><td>objective_a7f7c162</td><td>TERMINATED</td><td>127.0.0.1:47739</td><td style=\"text-align: right;\"> 0.38</td><td style=\"text-align: right;\"> 8</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 0.180248 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7452</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.180248 </td></tr>\n",
"<tr><td>objective_a7f96fda</td><td>TERMINATED</td><td>127.0.0.1:47740</td><td style=\"text-align: right;\"> 0.38</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 4</td><td style=\"text-align: right;\"> 0.284305 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7079</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.284305 </td></tr>\n",
"<tr><td>objective_a7fb1844</td><td>TERMINATED</td><td>127.0.0.1:47741</td><td style=\"text-align: right;\"> 0.38</td><td style=\"text-align: right;\"> 8</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\"> 0.180248 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7157</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> -0.180248 </td></tr>\n",
"<tr><td>objective_a7fcf02e</td><td>TERMINATED</td><td>127.0.0.1:47742</td><td style=\"text-align: right;\"> -8.88</td><td style=\"text-align: right;\"> 16</td><td style=\"text-align: right;\"> 7</td><td style=\"text-align: right;\">-0.745752 </td><td style=\"text-align: right;\"> 100</td><td style=\"text-align: right;\"> 10.7305</td><td style=\"text-align: right;\"> 99</td><td style=\"text-align: right;\"> 0.745752 </td></tr>\n",
"</tbody>\n",
"</table><br><br>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result for objective_9e64c92e:\n",
" date: 2022-07-22_15-36-08\n",
" done: false\n",
" experiment_id: fafb7d88360d408286e616de3dcd4407\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.192\n",
" neg_mean_loss: -9.192\n",
" node_ip: 127.0.0.1\n",
" pid: 47713\n",
" time_since_restore: 0.1042020320892334\n",
" time_this_iter_s: 0.1042020320892334\n",
" time_total_s: 0.1042020320892334\n",
" timestamp: 1658500568\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 9e64c92e\n",
" warmup_time: 0.0030999183654785156\n",
" \n",
"Result for objective_9ff47d0c:\n",
" date: 2022-07-22_15-36-11\n",
" done: false\n",
" experiment_id: de33a45d0c344d3aa344d8cff20b6c37\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.509\n",
" neg_mean_loss: -10.509\n",
" node_ip: 127.0.0.1\n",
" pid: 47719\n",
" time_since_restore: 0.10373878479003906\n",
" time_this_iter_s: 0.10373878479003906\n",
" time_total_s: 0.10373878479003906\n",
" timestamp: 1658500571\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 9ff47d0c\n",
" warmup_time: 0.003734111785888672\n",
" \n",
"Result for objective_9ff31930:\n",
" date: 2022-07-22_15-36-11\n",
" done: false\n",
" experiment_id: 404b066d5e154070b5a3f6f6ef3acb33\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.038\n",
" neg_mean_loss: -10.038\n",
" node_ip: 127.0.0.1\n",
" pid: 47718\n",
" time_since_restore: 0.10415983200073242\n",
" time_this_iter_s: 0.10415983200073242\n",
" time_total_s: 0.10415983200073242\n",
" timestamp: 1658500571\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 9ff31930\n",
" warmup_time: 0.0033788681030273438\n",
" \n",
"Result for objective_9ff5c2b6:\n",
" date: 2022-07-22_15-36-11\n",
" done: false\n",
" experiment_id: aeb7cb0b0c7c4f6692d47dcd1fe36462\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.526\n",
" neg_mean_loss: -10.526\n",
" node_ip: 127.0.0.1\n",
" pid: 47720\n",
" time_since_restore: 0.10468196868896484\n",
" time_this_iter_s: 0.10468196868896484\n",
" time_total_s: 0.10468196868896484\n",
" timestamp: 1658500571\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: 9ff5c2b6\n",
" warmup_time: 0.0027132034301757812\n",
" \n",
"Result for objective_9e64c92e:\n",
" date: 2022-07-22_15-36-13\n",
" done: false\n",
" experiment_id: fafb7d88360d408286e616de3dcd4407\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 9.192\n",
" neg_mean_loss: -9.192\n",
" node_ip: 127.0.0.1\n",
" pid: 47713\n",
" time_since_restore: 5.111851215362549\n",
" time_this_iter_s: 0.10771799087524414\n",
" time_total_s: 5.111851215362549\n",
" timestamp: 1658500573\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 9e64c92e\n",
" warmup_time: 0.0030999183654785156\n",
" \n",
"Result for objective_9ff47d0c:\n",
" date: 2022-07-22_15-36-16\n",
" done: false\n",
" experiment_id: de33a45d0c344d3aa344d8cff20b6c37\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.7173333333333334\n",
" neg_mean_loss: -0.7173333333333334\n",
" node_ip: 127.0.0.1\n",
" pid: 47719\n",
" time_since_restore: 5.179923057556152\n",
" time_this_iter_s: 0.12629103660583496\n",
" time_total_s: 5.179923057556152\n",
" timestamp: 1658500576\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 9ff47d0c\n",
" warmup_time: 0.003734111785888672\n",
" \n",
"Result for objective_9ff31930:\n",
" date: 2022-07-22_15-36-16\n",
" done: false\n",
" experiment_id: 404b066d5e154070b5a3f6f6ef3acb33\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.3329852507374631\n",
" neg_mean_loss: -0.3329852507374631\n",
" node_ip: 127.0.0.1\n",
" pid: 47718\n",
" time_since_restore: 5.155292749404907\n",
" time_this_iter_s: 0.10897374153137207\n",
" time_total_s: 5.155292749404907\n",
" timestamp: 1658500576\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 9ff31930\n",
" warmup_time: 0.0033788681030273438\n",
" \n",
"Result for objective_9ff5c2b6:\n",
" date: 2022-07-22_15-36-16\n",
" done: false\n",
" experiment_id: aeb7cb0b0c7c4f6692d47dcd1fe36462\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 2.2803859649122806\n",
" neg_mean_loss: -2.2803859649122806\n",
" node_ip: 127.0.0.1\n",
" pid: 47720\n",
" time_since_restore: 5.177261829376221\n",
" time_this_iter_s: 0.10725784301757812\n",
" time_total_s: 5.177261829376221\n",
" timestamp: 1658500576\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: 9ff5c2b6\n",
" warmup_time: 0.0027132034301757812\n",
" \n",
"Result for objective_9e64c92e:\n",
" date: 2022-07-22_15-36-18\n",
" done: false\n",
" experiment_id: fafb7d88360d408286e616de3dcd4407\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 9.192\n",
" neg_mean_loss: -9.192\n",
" node_ip: 127.0.0.1\n",
" pid: 47713\n",
" time_since_restore: 10.170606136322021\n",
" time_this_iter_s: 0.10434508323669434\n",
" time_total_s: 10.170606136322021\n",
" timestamp: 1658500578\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 9e64c92e\n",
" warmup_time: 0.0030999183654785156\n",
" \n",
"Result for objective_9e64c92e:\n",
" date: 2022-07-22_15-36-19\n",
" done: true\n",
" experiment_id: fafb7d88360d408286e616de3dcd4407\n",
" experiment_tag: 1_height=-8.0800,layers=16,steps=100,width=0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 9.192\n",
" neg_mean_loss: -9.192\n",
" node_ip: 127.0.0.1\n",
" pid: 47713\n",
" time_since_restore: 10.711803197860718\n",
" time_this_iter_s: 0.10728001594543457\n",
" time_total_s: 10.711803197860718\n",
" timestamp: 1658500579\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 9e64c92e\n",
" warmup_time: 0.0030999183654785156\n",
" \n",
"Result for objective_9ff31930:\n",
" date: 2022-07-22_15-36-21\n",
" done: false\n",
" experiment_id: 404b066d5e154070b5a3f6f6ef3acb33\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.18770059880239523\n",
" neg_mean_loss: -0.18770059880239523\n",
" node_ip: 127.0.0.1\n",
" pid: 47718\n",
" time_since_restore: 10.197859048843384\n",
" time_this_iter_s: 0.10710310935974121\n",
" time_total_s: 10.197859048843384\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 9ff31930\n",
" warmup_time: 0.0033788681030273438\n",
" \n",
"Result for objective_9ff47d0c:\n",
" date: 2022-07-22_15-36-21\n",
" done: false\n",
" experiment_id: de33a45d0c344d3aa344d8cff20b6c37\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.6142631578947368\n",
" neg_mean_loss: -0.6142631578947368\n",
" node_ip: 127.0.0.1\n",
" pid: 47719\n",
" time_since_restore: 10.256150722503662\n",
" time_this_iter_s: 0.11135077476501465\n",
" time_total_s: 10.256150722503662\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 9ff47d0c\n",
" warmup_time: 0.003734111785888672\n",
" \n",
"Result for objective_9ff5c2b6:\n",
" date: 2022-07-22_15-36-21\n",
" done: false\n",
" experiment_id: aeb7cb0b0c7c4f6692d47dcd1fe36462\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 1.4875384615384615\n",
" neg_mean_loss: -1.4875384615384615\n",
" node_ip: 127.0.0.1\n",
" pid: 47720\n",
" time_since_restore: 10.24931287765503\n",
" time_this_iter_s: 0.10830807685852051\n",
" time_total_s: 10.24931287765503\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: 9ff5c2b6\n",
" warmup_time: 0.0027132034301757812\n",
" \n",
"Result for objective_9ff31930:\n",
" date: 2022-07-22_15-36-21\n",
" done: true\n",
" experiment_id: 404b066d5e154070b5a3f6f6ef3acb33\n",
" experiment_tag: 2_height=0.3800,layers=16,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.18024751066856332\n",
" neg_mean_loss: -0.18024751066856332\n",
" node_ip: 127.0.0.1\n",
" pid: 47718\n",
" time_since_restore: 10.731510877609253\n",
" time_this_iter_s: 0.1073448657989502\n",
" time_total_s: 10.731510877609253\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 9ff31930\n",
" warmup_time: 0.0033788681030273438\n",
" \n",
"Result for objective_9ff47d0c:\n",
" date: 2022-07-22_15-36-21\n",
" done: true\n",
" experiment_id: de33a45d0c344d3aa344d8cff20b6c37\n",
" experiment_tag: 3_height=5.0900,layers=4,steps=100,width=10\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.609\n",
" neg_mean_loss: -0.609\n",
" node_ip: 127.0.0.1\n",
" pid: 47719\n",
" time_since_restore: 10.792427778244019\n",
" time_this_iter_s: 0.10576391220092773\n",
" time_total_s: 10.792427778244019\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 9ff47d0c\n",
" warmup_time: 0.003734111785888672\n",
" \n",
"Result for objective_9ff5c2b6:\n",
" date: 2022-07-22_15-36-21\n",
" done: true\n",
" experiment_id: aeb7cb0b0c7c4f6692d47dcd1fe36462\n",
" experiment_tag: 4_height=5.2600,layers=16,steps=100,width=1\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 1.4434311926605505\n",
" neg_mean_loss: -1.4434311926605505\n",
" node_ip: 127.0.0.1\n",
" pid: 47720\n",
" time_since_restore: 10.786811828613281\n",
" time_this_iter_s: 0.10388994216918945\n",
" time_total_s: 10.786811828613281\n",
" timestamp: 1658500581\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: 9ff5c2b6\n",
" warmup_time: 0.0027132034301757812\n",
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result for objective_a7fb1844:\n",
" date: 2022-07-22_15-36-24\n",
" done: false\n",
" experiment_id: 668080a52a3f4c4fad2258177b1fb755\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.038\n",
" neg_mean_loss: -10.038\n",
" node_ip: 127.0.0.1\n",
" pid: 47741\n",
" time_since_restore: 0.10408973693847656\n",
" time_this_iter_s: 0.10408973693847656\n",
" time_total_s: 0.10408973693847656\n",
" timestamp: 1658500584\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7fb1844\n",
" warmup_time: 0.004377126693725586\n",
" \n",
"Result for objective_a7f5c682:\n",
" date: 2022-07-22_15-36-24\n",
" done: false\n",
" experiment_id: 4449a3ef690c4b76a0cfbf7c4de7df43\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.762\n",
" neg_mean_loss: -9.762\n",
" node_ip: 127.0.0.1\n",
" pid: 47738\n",
" time_since_restore: 0.10507631301879883\n",
" time_this_iter_s: 0.10507631301879883\n",
" time_total_s: 0.10507631301879883\n",
" timestamp: 1658500584\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7f5c682\n",
" warmup_time: 0.003899097442626953\n",
" \n",
"Result for objective_a7f414d6:\n",
" date: 2022-07-22_15-36-24\n",
" done: false\n",
" experiment_id: 20575f602c234dd7a167a93ff353299b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.038\n",
" neg_mean_loss: -10.038\n",
" node_ip: 127.0.0.1\n",
" pid: 47737\n",
" time_since_restore: 0.10182499885559082\n",
" time_this_iter_s: 0.10182499885559082\n",
" time_total_s: 0.10182499885559082\n",
" timestamp: 1658500584\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7f414d6\n",
" warmup_time: 0.0046689510345458984\n",
" \n",
"Result for objective_a7f7c162:\n",
" date: 2022-07-22_15-36-24\n",
" done: false\n",
" experiment_id: f4b185b58be045f594bf127addecbace\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.038\n",
" neg_mean_loss: -10.038\n",
" node_ip: 127.0.0.1\n",
" pid: 47739\n",
" time_since_restore: 0.10427188873291016\n",
" time_this_iter_s: 0.10427188873291016\n",
" time_total_s: 0.10427188873291016\n",
" timestamp: 1658500584\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7f7c162\n",
" warmup_time: 0.004554033279418945\n",
" \n",
"Result for objective_a7fcf02e:\n",
" date: 2022-07-22_15-36-24\n",
" done: false\n",
" experiment_id: 5646116e3b69493b920c031d27eeb11b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 9.112\n",
" neg_mean_loss: -9.112\n",
" node_ip: 127.0.0.1\n",
" pid: 47742\n",
" time_since_restore: 0.10358119010925293\n",
" time_this_iter_s: 0.10358119010925293\n",
" time_total_s: 0.10358119010925293\n",
" timestamp: 1658500584\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7fcf02e\n",
" warmup_time: 0.003072977066040039\n",
" \n",
"Result for objective_a7f96fda:\n",
" date: 2022-07-22_15-36-25\n",
" done: false\n",
" experiment_id: 1983d487678f485a8a8ae7da4b7495a0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 0\n",
" iterations_since_restore: 1\n",
" mean_loss: 10.038\n",
" neg_mean_loss: -10.038\n",
" node_ip: 127.0.0.1\n",
" pid: 47740\n",
" time_since_restore: 0.10406088829040527\n",
" time_this_iter_s: 0.10406088829040527\n",
" time_total_s: 0.10406088829040527\n",
" timestamp: 1658500585\n",
" timesteps_since_restore: 0\n",
" training_iteration: 1\n",
" trial_id: a7f96fda\n",
" warmup_time: 0.0031909942626953125\n",
" \n",
"Result for objective_a7fb1844:\n",
" date: 2022-07-22_15-36-29\n",
" done: false\n",
" experiment_id: 668080a52a3f4c4fad2258177b1fb755\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.3329852507374631\n",
" neg_mean_loss: -0.3329852507374631\n",
" node_ip: 127.0.0.1\n",
" pid: 47741\n",
" time_since_restore: 5.134153842926025\n",
" time_this_iter_s: 0.10844898223876953\n",
" time_total_s: 5.134153842926025\n",
" timestamp: 1658500589\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7fb1844\n",
" warmup_time: 0.004377126693725586\n",
" \n",
"Result for objective_a7f5c682:\n",
" date: 2022-07-22_15-36-29\n",
" done: false\n",
" experiment_id: 4449a3ef690c4b76a0cfbf7c4de7df43\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.05698525073746313\n",
" neg_mean_loss: -0.05698525073746313\n",
" node_ip: 127.0.0.1\n",
" pid: 47738\n",
" time_since_restore: 5.151050090789795\n",
" time_this_iter_s: 0.10810613632202148\n",
" time_total_s: 5.151050090789795\n",
" timestamp: 1658500589\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7f5c682\n",
" warmup_time: 0.003899097442626953\n",
" \n",
"Result for objective_a7fcf02e:\n",
" date: 2022-07-22_15-36-29\n",
" done: false\n",
" experiment_id: 5646116e3b69493b920c031d27eeb11b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: -0.593014749262537\n",
" neg_mean_loss: 0.593014749262537\n",
" node_ip: 127.0.0.1\n",
" pid: 47742\n",
" time_since_restore: 5.1300742626190186\n",
" time_this_iter_s: 0.10815715789794922\n",
" time_total_s: 5.1300742626190186\n",
" timestamp: 1658500589\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7fcf02e\n",
" warmup_time: 0.003072977066040039\n",
" \n",
"Result for objective_a7f414d6:\n",
" date: 2022-07-22_15-36-29\n",
" done: false\n",
" experiment_id: 20575f602c234dd7a167a93ff353299b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.3329852507374631\n",
" neg_mean_loss: -0.3329852507374631\n",
" node_ip: 127.0.0.1\n",
" pid: 47737\n",
" time_since_restore: 5.151458024978638\n",
" time_this_iter_s: 0.10657620429992676\n",
" time_total_s: 5.151458024978638\n",
" timestamp: 1658500589\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7f414d6\n",
" warmup_time: 0.0046689510345458984\n",
" \n",
"Result for objective_a7f7c162:\n",
" date: 2022-07-22_15-36-29\n",
" done: false\n",
" experiment_id: f4b185b58be045f594bf127addecbace\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.3329852507374631\n",
" neg_mean_loss: -0.3329852507374631\n",
" node_ip: 127.0.0.1\n",
" pid: 47739\n",
" time_since_restore: 5.154465675354004\n",
" time_this_iter_s: 0.1063377857208252\n",
" time_total_s: 5.154465675354004\n",
" timestamp: 1658500589\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7f7c162\n",
" warmup_time: 0.004554033279418945\n",
" \n",
"Result for objective_a7f96fda:\n",
" date: 2022-07-22_15-36-30\n",
" done: false\n",
" experiment_id: 1983d487678f485a8a8ae7da4b7495a0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 47\n",
" iterations_since_restore: 48\n",
" mean_loss: 0.5430505050505051\n",
" neg_mean_loss: -0.5430505050505051\n",
" node_ip: 127.0.0.1\n",
" pid: 47740\n",
" time_since_restore: 5.135071039199829\n",
" time_this_iter_s: 0.10689830780029297\n",
" time_total_s: 5.135071039199829\n",
" timestamp: 1658500590\n",
" timesteps_since_restore: 0\n",
" training_iteration: 48\n",
" trial_id: a7f96fda\n",
" warmup_time: 0.0031909942626953125\n",
" \n",
"Result for objective_a7fb1844:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: 668080a52a3f4c4fad2258177b1fb755\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.18770059880239523\n",
" neg_mean_loss: -0.18770059880239523\n",
" node_ip: 127.0.0.1\n",
" pid: 47741\n",
" time_since_restore: 10.180493831634521\n",
" time_this_iter_s: 0.10809183120727539\n",
" time_total_s: 10.180493831634521\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7fb1844\n",
" warmup_time: 0.004377126693725586\n",
" \n",
"Result for objective_a7f414d6:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: 20575f602c234dd7a167a93ff353299b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.18770059880239523\n",
" neg_mean_loss: -0.18770059880239523\n",
" node_ip: 127.0.0.1\n",
" pid: 47737\n",
" time_since_restore: 10.188506126403809\n",
" time_this_iter_s: 0.10684013366699219\n",
" time_total_s: 10.188506126403809\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7f414d6\n",
" warmup_time: 0.0046689510345458984\n",
" \n",
"Result for objective_a7f5c682:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: 4449a3ef690c4b76a0cfbf7c4de7df43\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: -0.08829940119760477\n",
" neg_mean_loss: 0.08829940119760477\n",
" node_ip: 127.0.0.1\n",
" pid: 47738\n",
" time_since_restore: 10.20038390159607\n",
" time_this_iter_s: 0.10745882987976074\n",
" time_total_s: 10.20038390159607\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7f5c682\n",
" warmup_time: 0.003899097442626953\n",
" \n",
"Result for objective_a7f7c162:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: f4b185b58be045f594bf127addecbace\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.18770059880239523\n",
" neg_mean_loss: -0.18770059880239523\n",
" node_ip: 127.0.0.1\n",
" pid: 47739\n",
" time_since_restore: 10.203772783279419\n",
" time_this_iter_s: 0.1077718734741211\n",
" time_total_s: 10.203772783279419\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7f7c162\n",
" warmup_time: 0.004554033279418945\n",
" \n",
"Result for objective_a7fcf02e:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: 5646116e3b69493b920c031d27eeb11b\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: -0.738299401197605\n",
" neg_mean_loss: 0.738299401197605\n",
" node_ip: 127.0.0.1\n",
" pid: 47742\n",
" time_since_restore: 10.187027215957642\n",
" time_this_iter_s: 0.10881304740905762\n",
" time_total_s: 10.187027215957642\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7fcf02e\n",
" warmup_time: 0.003072977066040039\n",
" \n",
"Result for objective_a7f96fda:\n",
" date: 2022-07-22_15-36-35\n",
" done: false\n",
" experiment_id: 1983d487678f485a8a8ae7da4b7495a0\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 94\n",
" iterations_since_restore: 95\n",
" mean_loss: 0.29706735751295343\n",
" neg_mean_loss: -0.29706735751295343\n",
" node_ip: 127.0.0.1\n",
" pid: 47740\n",
" time_since_restore: 10.170713901519775\n",
" time_this_iter_s: 0.10522603988647461\n",
" time_total_s: 10.170713901519775\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 95\n",
" trial_id: a7f96fda\n",
" warmup_time: 0.0031909942626953125\n",
" \n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Result for objective_a7fb1844:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: 668080a52a3f4c4fad2258177b1fb755\n",
" experiment_tag: 9_height=0.3800,layers=8,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.18024751066856332\n",
" neg_mean_loss: -0.18024751066856332\n",
" node_ip: 127.0.0.1\n",
" pid: 47741\n",
" time_since_restore: 10.715673923492432\n",
" time_this_iter_s: 0.10643696784973145\n",
" time_total_s: 10.715673923492432\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7fb1844\n",
" warmup_time: 0.004377126693725586\n",
" \n",
"Result for objective_a7f414d6:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: 20575f602c234dd7a167a93ff353299b\n",
" experiment_tag: 5_height=0.3800,layers=4,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.18024751066856332\n",
" neg_mean_loss: -0.18024751066856332\n",
" node_ip: 127.0.0.1\n",
" pid: 47737\n",
" time_since_restore: 10.723177909851074\n",
" time_this_iter_s: 0.1052548885345459\n",
" time_total_s: 10.723177909851074\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7f414d6\n",
" warmup_time: 0.0046689510345458984\n",
" \n",
"Result for objective_a7f5c682:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: 4449a3ef690c4b76a0cfbf7c4de7df43\n",
" experiment_tag: 6_height=-2.3800,layers=16,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: -0.09575248933143668\n",
" neg_mean_loss: 0.09575248933143668\n",
" node_ip: 127.0.0.1\n",
" pid: 47738\n",
" time_since_restore: 10.733658075332642\n",
" time_this_iter_s: 0.10680294036865234\n",
" time_total_s: 10.733658075332642\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7f5c682\n",
" warmup_time: 0.003899097442626953\n",
" \n",
"Result for objective_a7f7c162:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: f4b185b58be045f594bf127addecbace\n",
" experiment_tag: 7_height=0.3800,layers=8,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.18024751066856332\n",
" neg_mean_loss: -0.18024751066856332\n",
" node_ip: 127.0.0.1\n",
" pid: 47739\n",
" time_since_restore: 10.745207786560059\n",
" time_this_iter_s: 0.10880804061889648\n",
" time_total_s: 10.745207786560059\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7f7c162\n",
" warmup_time: 0.004554033279418945\n",
" \n",
"Result for objective_a7fcf02e:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: 5646116e3b69493b920c031d27eeb11b\n",
" experiment_tag: 10_height=-8.8800,layers=16,steps=100,width=7\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: -0.7457524893314368\n",
" neg_mean_loss: 0.7457524893314368\n",
" node_ip: 127.0.0.1\n",
" pid: 47742\n",
" time_since_restore: 10.730549097061157\n",
" time_this_iter_s: 0.11018085479736328\n",
" time_total_s: 10.730549097061157\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7fcf02e\n",
" warmup_time: 0.003072977066040039\n",
" \n",
"Result for objective_a7f96fda:\n",
" date: 2022-07-22_15-36-35\n",
" done: true\n",
" experiment_id: 1983d487678f485a8a8ae7da4b7495a0\n",
" experiment_tag: 8_height=0.3800,layers=16,steps=100,width=4\n",
" hostname: Kais-MacBook-Pro.local\n",
" iterations: 99\n",
" iterations_since_restore: 100\n",
" mean_loss: 0.2843054187192119\n",
" neg_mean_loss: -0.2843054187192119\n",
" node_ip: 127.0.0.1\n",
" pid: 47740\n",
" time_since_restore: 10.707929849624634\n",
" time_this_iter_s: 0.10735177993774414\n",
" time_total_s: 10.707929849624634\n",
" timestamp: 1658500595\n",
" timesteps_since_restore: 0\n",
" training_iteration: 100\n",
" trial_id: a7f96fda\n",
" warmup_time: 0.0031909942626953125\n",
" \n"
]
}
],
"source": [
"tuner = tune.Tuner(\n",
" objective,\n",
" tune_config=tune.TuneConfig(\n",
" metric=\"mean_loss\",\n",
" mode=\"min\",\n",
" search_alg=algo,\n",
" num_samples=num_samples,\n",
" ),\n",
" param_space={\"steps\": 100},\n",
")\n",
"results = tuner.fit()"
]
},
{
"cell_type": "markdown",
"id": "01e3b036",
"metadata": {},
"source": [
"Here are the hyperparamters found to minimize the mean loss of the defined objective."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "c11178dd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Best hyperparameters found were: {'steps': 100, 'height': -8.88, 'width': 7, 'layers': 16}\n"
]
}
],
"source": [
"print(\"Best hyperparameters found were: \", results.get_best_result().config)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "23eab59f",
"metadata": {
"tags": [
"remove-cell"
]
},
"outputs": [],
"source": [
"ray.shutdown()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.7.7"
},
"orphan": true
},
"nbformat": 4,
"nbformat_minor": 5
}
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