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add debug, vs multithread

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This commit is contained in:
wassname
2018-01-19 12:08:49 +08:00
parent 201fa2400f
commit adcafeada3
2 changed files with 519 additions and 33 deletions
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trying_ddpg_with_implicit_dynamics.ipynb
+157 -33
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@@ -5,9 +5,10 @@
"execution_count": 1,
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"end_time": "2018-01-19T02:03:04.176331Z",
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},
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},
"outputs": [],
"source": [
@@ -21,8 +22,8 @@
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-18T08:48:06.842630Z",
"start_time": "2018-01-18T08:48:06.490286Z"
"end_time": "2018-01-19T02:03:04.586375Z",
"start_time": "2018-01-19T02:03:04.178204Z"
}
},
"outputs": [
@@ -45,8 +46,8 @@
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-18T08:48:06.881370Z",
"start_time": "2018-01-18T08:48:06.844048Z"
"end_time": "2018-01-19T02:03:04.627472Z",
"start_time": "2018-01-19T02:03:04.587944Z"
},
"scrolled": true
},
@@ -56,32 +57,30 @@
"text/plain": [
"['ddpg/train.py',\n",
" '--logdir',\n",
" './outputs/logs_ddpg',\n",
" './outputs/logs_ddpg2',\n",
" '--num-threads',\n",
" '1',\n",
" '--ddpg-wrapper',\n",
" '--skip-frames',\n",
" '5',\n",
" '--fail-reward',\n",
" '-0.2',\n",
" '3',\n",
" '--reward-scale',\n",
" '1',\n",
" '--flip-state-action',\n",
" '0.001',\n",
" '--actor-layers',\n",
" '64-64',\n",
" '64-64-64',\n",
" '--actor-layer-norm',\n",
" '--actor-parameters-noise',\n",
" '--actor-lr',\n",
" '0.001',\n",
" '--actor-lr-end',\n",
" '0.00001',\n",
" '0.000001',\n",
" '--dynamics-lr',\n",
" '0.0001',\n",
" '--dynamics-lr-end',\n",
" '0.0000001',\n",
" '--critic-layers',\n",
" '64-32',\n",
" '--critic-layer-norm',\n",
" '--critic-lr',\n",
" '0.002',\n",
" '--critic-lr-end',\n",
" '0.00001',\n",
" '0.000001',\n",
" '--initial-epsilon',\n",
" '0.5',\n",
" '--final-epsilon',\n",
@@ -96,18 +95,24 @@
}
],
"source": [
"os.sys.argv=\"ddpg/train.py --logdir ./outputs/logs_ddpg --num-threads 1 --ddpg-wrapper --skip-frames 5 --fail-reward -0.2 --reward-scale 1 --flip-state-action --actor-layers 64-64 --actor-layer-norm --actor-parameters-noise --actor-lr 0.001 --actor-lr-end 0.00001 --critic-layers 64-32 --critic-layer-norm --critic-lr 0.002 --critic-lr-end 0.00001 --initial-epsilon 0.5 --final-epsilon 0.001 --tau 0.0001\".split(\" \")\n",
"os.sys.argv=\"ddpg/train.py --logdir ./outputs/logs_ddpg2 \\\n",
"--num-threads 3 --num-train-threads 3 \\\n",
"--reward-scale 0.001 \\\n",
"--actor-layers 64-64-64 --actor-layer-norm --actor-parameters-noise --actor-lr 0.001 --actor-lr-end 0.000001 \\\n",
"--dynamics-lr 0.0001 --dynamics-lr-end 0.0000001 \\\n",
"--critic-layers 64-32 --critic-layer-norm --critic-lr 0.002 --critic-lr-end 0.000001 \\\n",
"--initial-epsilon 0.5 --final-epsilon 0.001 --tau 0.0001\".split(\" \")\n",
"os.sys.argv"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-18T08:49:02.648421Z",
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"start_time": "2018-01-19T02:03:03.852Z"
},
"collapsed": true
},
"outputs": [],
"source": [
@@ -119,7 +124,7 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"start_time": "2018-01-18T08:49:03.555Z"
"start_time": "2018-01-19T02:03:03.855Z"
},
"scrolled": true
},
@@ -128,9 +133,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"[2018-01-18 16:49:08,700] Making new env: Pendulum-v0\n",
"[2018-01-18 16:49:08,777] Making new env: Pendulum-v0\n",
"[2018-01-18 16:49:08,780] Making new env: Pendulum-v0\n"
"[2018-01-19 10:03:05,421] Making new env: Pendulum-v0\n"
]
},
{
@@ -148,6 +151,10 @@
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
")\n",
@@ -163,13 +170,17 @@
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
" (policy_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): Linear (64 -> 1)\n",
" (act_0): Tanh ()\n",
" (act_0): ELU (alpha=1.0)\n",
" )\n",
" )\n",
")\n",
@@ -185,6 +196,10 @@
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
@@ -202,16 +217,123 @@
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
" (value_net): Linear (65 -> 3)\n",
" (value_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): Linear (65 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" )\n",
" )\n",
" (value_net2): Linear (64 -> 3)\n",
")\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2018-01-19 10:03:05,570] Making new env: Pendulum-v0\n",
"[2018-01-19 10:03:05,589] Making new env: Pendulum-v0\n",
"Process Process-1:\n",
"Traceback (most recent call last):\n",
" File \"/home/isisilon/.pyenv/versions/3.6.0/lib/python3.6/multiprocessing/process.py\", line 249, in _bootstrap\n",
" self.run()\n",
" File \"/home/isisilon/.pyenv/versions/3.6.0/lib/python3.6/multiprocessing/process.py\", line 93, in run\n",
" self._target(*self._args, **self._kwargs)\n",
" File \"/media/isisilon/Data/My_Documents/Documents/eclipse-workspace/ddpg_implicit_state/Run-Skeleton-Run/ddpg/model.py\", line 440, in train_single_thread\n",
" logger.scalar_summary(key, value, update_step)\n",
" File \"/media/isisilon/Data/My_Documents/Documents/eclipse-workspace/ddpg_implicit_state/Run-Skeleton-Run/common/logger.py\", line 17, in scalar_summary\n",
" self.writer.add_scalar(tag, value, step)\n",
" File \"/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/tensorboardX/writer.py\", line 262, in add_scalar\n",
" self.file_writer.add_summary(scalar(tag, scalar_value), global_step)\n",
" File \"/home/isisilon/.pyenv/versions/3.6.0/envs/jupyter3/lib/python3.6/site-packages/tensorboardX/summary.py\", line 88, in scalar\n",
" assert(scalar.squeeze().ndim==0), 'scalar should be 0D'\n",
"AttributeError: 'NoneType' object has no attribute 'squeeze'\n",
"[2018-01-19 10:04:01,980] Making new env: Pendulum-v0\n",
"[2018-01-19 10:04:05,897] Making new env: Pendulum-v0\n",
"[2018-01-19 10:04:56,915] Making new env: Pendulum-v0\n",
"[2018-01-19 10:04:59,842] Making new env: Pendulum-v0\n",
"[2018-01-19 10:05:51,136] Making new env: Pendulum-v0\n",
"[2018-01-19 10:05:54,795] Making new env: Pendulum-v0\n",
"[2018-01-19 10:06:58,471] Making new env: Pendulum-v0\n",
"[2018-01-19 10:07:01,303] Making new env: Pendulum-v0\n",
"[2018-01-19 10:08:06,776] Making new env: Pendulum-v0\n",
"[2018-01-19 10:08:11,823] Making new env: Pendulum-v0\n",
"[2018-01-19 10:09:24,555] Making new env: Pendulum-v0\n",
"[2018-01-19 10:09:28,326] Making new env: Pendulum-v0\n",
"[2018-01-19 10:10:25,677] Making new env: Pendulum-v0\n",
"[2018-01-19 10:10:28,134] Making new env: Pendulum-v0\n",
"[2018-01-19 10:11:21,746] Making new env: Pendulum-v0\n",
"[2018-01-19 10:11:22,767] Making new env: Pendulum-v0\n",
"[2018-01-19 10:12:19,668] Making new env: Pendulum-v0\n",
"[2018-01-19 10:12:20,498] Making new env: Pendulum-v0\n",
"[2018-01-19 10:13:16,087] Making new env: Pendulum-v0\n",
"[2018-01-19 10:13:19,701] Making new env: Pendulum-v0\n",
"[2018-01-19 10:14:20,287] Making new env: Pendulum-v0\n",
"[2018-01-19 10:14:25,255] Making new env: Pendulum-v0\n",
"[2018-01-19 10:15:25,534] Making new env: Pendulum-v0\n",
"[2018-01-19 10:15:30,307] Making new env: Pendulum-v0\n",
"[2018-01-19 10:16:24,529] Making new env: Pendulum-v0\n",
"[2018-01-19 10:16:27,554] Making new env: Pendulum-v0\n",
"[2018-01-19 10:17:23,602] Making new env: Pendulum-v0\n",
"[2018-01-19 10:17:24,952] Making new env: Pendulum-v0\n",
"[2018-01-19 10:18:19,517] Making new env: Pendulum-v0\n",
"[2018-01-19 10:18:21,783] Making new env: Pendulum-v0\n",
"[2018-01-19 10:19:17,384] Making new env: Pendulum-v0\n",
"[2018-01-19 10:19:19,827] Making new env: Pendulum-v0\n",
"[2018-01-19 10:20:15,270] Making new env: Pendulum-v0\n",
"[2018-01-19 10:20:15,364] Making new env: Pendulum-v0\n",
"[2018-01-19 10:21:09,305] Making new env: Pendulum-v0\n",
"[2018-01-19 10:21:12,535] Making new env: Pendulum-v0\n",
"[2018-01-19 10:22:03,694] Making new env: Pendulum-v0\n",
"[2018-01-19 10:22:05,211] Making new env: Pendulum-v0\n",
"[2018-01-19 10:22:59,166] Making new env: Pendulum-v0\n",
"[2018-01-19 10:23:03,510] Making new env: Pendulum-v0\n",
"[2018-01-19 10:23:52,806] Making new env: Pendulum-v0\n",
"[2018-01-19 10:23:58,895] Making new env: Pendulum-v0\n",
"[2018-01-19 10:24:44,687] Making new env: Pendulum-v0\n",
"[2018-01-19 10:24:52,964] Making new env: Pendulum-v0\n",
"[2018-01-19 10:25:37,681] Making new env: Pendulum-v0\n",
"[2018-01-19 10:25:51,033] Making new env: Pendulum-v0\n",
"[2018-01-19 10:26:34,755] Making new env: Pendulum-v0\n",
"[2018-01-19 10:26:45,860] Making new env: Pendulum-v0\n",
"[2018-01-19 10:27:27,254] Making new env: Pendulum-v0\n",
"[2018-01-19 10:27:44,223] Making new env: Pendulum-v0\n",
"[2018-01-19 10:28:25,083] Making new env: Pendulum-v0\n",
"[2018-01-19 10:28:40,452] Making new env: Pendulum-v0\n",
"[2018-01-19 10:29:21,854] Making new env: Pendulum-v0\n",
"[2018-01-19 10:29:40,183] Making new env: Pendulum-v0\n",
"[2018-01-19 10:30:20,224] Making new env: Pendulum-v0\n",
"[2018-01-19 10:30:43,777] Making new env: Pendulum-v0\n",
"[2018-01-19 10:31:21,376] Making new env: Pendulum-v0\n",
"[2018-01-19 10:31:43,822] Making new env: Pendulum-v0\n",
"[2018-01-19 10:32:19,617] Making new env: Pendulum-v0\n",
"[2018-01-19 10:32:42,093] Making new env: Pendulum-v0\n",
"[2018-01-19 10:33:13,267] Making new env: Pendulum-v0\n",
"[2018-01-19 10:33:38,685] Making new env: Pendulum-v0\n",
"[2018-01-19 10:34:08,173] Making new env: Pendulum-v0\n",
"[2018-01-19 10:34:36,100] Making new env: Pendulum-v0\n",
"[2018-01-19 10:35:03,554] Making new env: Pendulum-v0\n",
"[2018-01-19 10:35:31,869] Making new env: Pendulum-v0\n",
"[2018-01-19 10:36:02,086] Making new env: Pendulum-v0\n",
"[2018-01-19 10:36:30,077] Making new env: Pendulum-v0\n",
"[2018-01-19 10:37:04,189] Making new env: Pendulum-v0\n",
"[2018-01-19 10:37:33,748] Making new env: Pendulum-v0\n",
"[2018-01-19 10:38:03,424] Making new env: Pendulum-v0\n",
"[2018-01-19 10:38:35,036] Making new env: Pendulum-v0\n"
]
}
],
"source": [
"os.environ['OMP_NUM_THREADS'] = '1'\n",
"os.environ['OMP_NUM_THREADS'] = '3'\n",
"torch.set_num_threads(1)\n",
"args = parse_args()\n",
"train(args,\n",
@@ -227,7 +349,8 @@
"execution_count": null,
"metadata": {
"ExecuteTime": {
"start_time": "2018-01-18T08:39:00.927Z"
"end_time": "2018-01-19T02:01:33.149379Z",
"start_time": "2018-01-19T02:01:30.923966Z"
}
},
"outputs": [],
@@ -239,7 +362,8 @@
"metadata": {
"ExecuteTime": {
"start_time": "2018-01-18T08:39:00.929Z"
}
},
"collapsed": true
},
"outputs": [],
"source": []
trying_ddpg_with_implicit_dynamics_debug_1thread.ipynb
+362
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@@ -0,0 +1,362 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-19T02:39:09.387985Z",
"start_time": "2018-01-19T02:39:09.291235Z"
},
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
"os.environ['CUDA_VISIBLE_DEVICES']=\"\"\n",
"os.environ[\"PYTHONPATH\"]='.'"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-19T02:39:09.542108Z",
"start_time": "2018-01-19T02:39:09.390592Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"source": [
"%pylab --no-import-all inline\n",
"%reload_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-19T02:39:09.722311Z",
"start_time": "2018-01-19T02:39:09.552596Z"
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"['ddpg/train.py',\n",
" '--logdir',\n",
" './outputs/logs_ddpg',\n",
" '--num-threads',\n",
" '1',\n",
" '--reward-scale',\n",
" '1',\n",
" '--actor-layers',\n",
" '64-64-64',\n",
" '--actor-layer-norm',\n",
" '--actor-parameters-noise',\n",
" '--actor-lr',\n",
" '0.001',\n",
" '--actor-lr-end',\n",
" '0.000001',\n",
" '--dynamics-lr',\n",
" '0.0001',\n",
" '--dynamics-lr-end',\n",
" '0.0000001',\n",
" '--critic-layers',\n",
" '64-32',\n",
" '--critic-layer-norm',\n",
" '--critic-lr',\n",
" '0.002',\n",
" '--critic-lr-end',\n",
" '0.000001',\n",
" '--initial-epsilon',\n",
" '0.5',\n",
" '--final-epsilon',\n",
" '0.001',\n",
" '--tau',\n",
" '0.0001']"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.sys.argv=\"ddpg/train.py --logdir ./outputs/logs_ddpg \\\n",
"--num-threads 1 \\\n",
"--reward-scale 1 \\\n",
"--actor-layers 64-64-64 --actor-layer-norm --actor-parameters-noise --actor-lr 0.001 --actor-lr-end 0.000001 \\\n",
"--dynamics-lr 0.0001 --dynamics-lr-end 0.0000001 \\\n",
"--critic-layers 64-32 --critic-layer-norm --critic-lr 0.002 --critic-lr-end 0.000001 \\\n",
"--initial-epsilon 0.5 --final-epsilon 0.001 --tau 0.0001\".split(\" \")\n",
"os.sys.argv"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-19T02:39:09.829347Z",
"start_time": "2018-01-19T02:39:09.724292Z"
},
"collapsed": true
},
"outputs": [],
"source": [
"from ddpg.train import *"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2018-01-19T02:39:18.905244Z",
"start_time": "2018-01-19T02:39:09.834586Z"
},
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"[2018-01-19 10:39:09,999] Making new env: Pendulum-v0\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Base (\n",
" (feature_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): NoisyLinear (3 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" (linear_1): NoisyLinear (64 -> 64)\n",
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
")\n",
"ActorHead (\n",
" (base): Base (\n",
" (feature_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): NoisyLinear (3 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" (linear_1): NoisyLinear (64 -> 64)\n",
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
" (policy_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): Linear (64 -> 1)\n",
" (act_0): ELU (alpha=1.0)\n",
" )\n",
" )\n",
")\n",
"CriticHead (\n",
" (base): Base (\n",
" (feature_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): NoisyLinear (3 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" (linear_1): NoisyLinear (64 -> 64)\n",
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
" (value_net): Linear (64 -> 1)\n",
")\n",
"DynamicsHead (\n",
" (base): Base (\n",
" (feature_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): NoisyLinear (3 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" (linear_1): NoisyLinear (64 -> 64)\n",
" (layer_norm_1): LayerNorm (\n",
" )\n",
" (act_1): ReLU ()\n",
" (linear_2): NoisyLinear (64 -> 64)\n",
" (layer_norm_2): LayerNorm (\n",
" )\n",
" (act_2): ReLU ()\n",
" )\n",
" )\n",
" )\n",
" (value_net): LinearNet (\n",
" (net): Sequential (\n",
" (linear_0): Linear (65 -> 64)\n",
" (layer_norm_0): LayerNorm (\n",
" )\n",
" (act_0): ReLU ()\n",
" )\n",
" )\n",
" (value_net2): Linear (64 -> 3)\n",
")\n"
]
}
],
"source": [
"os.environ['OMP_NUM_THREADS'] = '1'\n",
"torch.set_num_threads(1)\n",
"args = parse_args()\n",
"train(args,\n",
" create_model,\n",
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