diff --git a/readme.md b/readme.md index 86f0fdc..a75af7c 100644 --- a/readme.md +++ b/readme.md @@ -41,6 +41,8 @@ It's not heavily documented, because most of my code never gets read or used. If - [ANP-RNN diagram](#anp-rnn-diagram) - [Tips](#tips) - [See also:](#see-also) +- [<<<<<<< HEAD](#head) +- [- 2018-07-04, "Conditional Neural Processes" [code](https://github.com/deepmind/neural-processes)](#ul-li2018-07-04-%22conditional-neural-processes%22-codeli-ul) - [Citing](#citing) @@ -199,15 +201,19 @@ Changes for stability: ## Tips - Make you normalise all data, ideally the output two, this seems to be very important -- Batchnorm, lvar, dropout: it's unclear to me how to make these help reliably +- Batchnorm, lvar, dropout: these seem ok but it's unclear to me how to make these help reliably. Attention dropout or lstm dropout can be especially unreliable. +- sometimes you need quite a large hidden space to model a process. Making the network deep seems to stop it learning effectivly. It would be helpfull to try differen't activations, initializations and make sure the gradient flows effectivly to deeper networks, - The deterministic path had unclear value, I found it best to leave it out -- The size and comparitive size of the context and target is important for performance. +- The absolute size and comparitive size of the context and target is important for performance. - If the context is too long and complex the model cannot summarize it - - If the target is too long and complex hte model cannot fit it well + - If the target is too long and complex the model cannot fit it well - If the context is in the target, the model may collapse to just fitting this. To fix - make it small - or make the loss on this part downweighted, this seems like the best approach since x_context->y_context may still be a usefull secondary task - or do not include context in target + - however including the target in the context may sometimes be helpfull +- This repo compares models, but the biggest difference in this situation would be from additional data sources, but that is outside the scope of these experiments + ## See also: @@ -220,17 +226,27 @@ A list of projects I used as reference or modified to make this one: I'm very grateful for all these authors for sharing their work. It was a pleasure to dive deep into these models compare the different implementations. - Neural process papers: +<<<<<<< HEAD +======= +- [2019-12-12, "Probing Uncertainty Estimates of Neural Processes"](http://bayesiandeeplearning.org/2019/papers/125.pdf) +>>>>>>> e2e96cfe857561e5b3d53d24927c9dbaf655ae42 - [2019-10-17, "Recurrent Attentive Neural Process for Sequential Data"](https://arxiv.org/abs/1910.09323) - LSTM on X before encoder, no code - [2019-10-29, "Convolutional Conditional Neural Processes"](https://arxiv.org/abs/1910.13556). [code](https://github.com/cambridge-mlg/convcnp) - [2019-10-01, "Wasserstein Neural Processes"](https://arxiv.org/abs/1910.00668) would be helpfull if the output dist never converges for your problem - [2019-08-08, "Spatiotemporal Modeling using Recurrent Neural Processes"](https://www.ri.cmu.edu/wp-content/uploads/2019/08/msr_thesis_document.pdf) (infilling spatial information, using a RNN for time information, no code) - [2019-06-13, "Recurrent Neural Processes"](https://arxiv.org/abs/1906.05915) (2d and 3d over time, using LSTM in encoder/decoder, no code) - [2019-06-19, "The Functional Neural Processes"](https://arxiv.org/abs/1906.08324) +<<<<<<< HEAD - [2019-01-17, "Attentive Neural Processes"](https://arxiv.org/abs/1901.05761) (using attention to prevent underfitting) [code](https://github.com/deepmind/neural-processes) - [2018-07-04, "Conditional Neural Processes"](https://arxiv.org/abs/1807.01613) [code](https://github.com/deepmind/neural-processes) +======= +- [2018-12-03, "Empirical Evaluation of Neural Process Objectives"](http://bayesiandeeplearning.org/2018/papers/92.pdf) +- [2019-01-17, "Attentive Neural Processes"](https://arxiv.org/abs/1901.05761) (using attention to prevent underfitting) [code](https://github.com/deepmind/neural-processes) +- [2018-07-04, "Conditional Neural Processes"](https://arxiv.org/abs/1807.01613) [code](https://github.com/deepmind/neural-processes) +- [2019-06-24, "Sequential Neural Processes"](https://arxiv.org/abs/1906.10264) [code](https://github.com/singhgautam/snp) modelling a 1 or 2d process evolving over time +>>>>>>> e2e96cfe857561e5b3d53d24927c9dbaf655ae42 - [2018-07-04, "Neural Processes"](https://arxiv.org/abs/1807.01622) Blogposts: diff --git a/smartmeters-ANP-RNN-Copy1.ipynb b/smartmeters-ANP-RNN-Copy1.ipynb new file mode 100644 index 0000000..011dafe --- /dev/null +++ b/smartmeters-ANP-RNN-Copy1.ipynb @@ -0,0 +1,1672 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# This notebook uses pytorch lightning & optuna & a Recurrent Attentive Neural Process for Sequential Data (RANPfSQ)\n", + "\n", + "This notebook trains an Attentional Neural Network on timeseries data from smartmeters.\n", + "\n", + "It uses pytorch lighting for the training loop. And Optuna for the hyperparameter optimisation.\n", + "\n", + "It also pushes results to the tensorboard hyperparameter dashboard for examination.\n", + "\n", + "- https://github.com/optuna/optuna/blob/master/examples/pytorch_lightning_simple.py\n", + "\n", + "- similar to https://arxiv.org/abs/1910.09323" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-15T11:09:58.775974Z", + "start_time": "2020-02-15T11:09:43.765111Z" + } + }, + "source": [ + "Results on *Smartmeter* prediction\n", + "\n", + "|Model|val_loss|\n", + "|--|--| \n", + "|ANP-RNN|-1.27|\n", + "|ANP-RNN_imp|-1.38|\n", + "|ANP|-1.3|\n", + "|ANP_impr|-1.2|\n", + "|NP|-1.3|" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:16.056243Z", + "start_time": "2020-02-23T05:28:13.650936Z" + } + }, + "outputs": [], + "source": [ + "import sys, re, os, itertools, functools, collections\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import collections\n", + "from pathlib import Path\n", + "from tqdm.auto import tqdm\n", + "\n", + "import optuna\n", + "import pytorch_lightning as pl\n", + "from optuna.integration import PyTorchLightningPruningCallback\n", + "\n", + "\n", + "import math\n", + "%matplotlib inline\n", + "%reload_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:16.106708Z", + "start_time": "2020-02-23T05:28:16.059292Z" + } + }, + "outputs": [], + "source": [ + "import logging\n", + "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n", + "logger = logging.getLogger(\"RANP.ipynb\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:16.159008Z", + "start_time": "2020-02-23T05:28:16.109795Z" + } + }, + "outputs": [], + "source": [ + "import torch\n", + "from torch import nn\n", + "import torch.nn.functional as F" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:16.273652Z", + "start_time": "2020-02-23T05:28:16.161865Z" + } + }, + "outputs": [], + "source": [ + "from src.models.model import LatentModel\n", + "from src.data.smart_meter import collate_fns, SmartMeterDataSet, get_smartmeter_df\n", + "from src.plot import plot_from_loader\n", + "from src.models.lightning_anp import LatentModelPL\n", + "from src.dict_logger import DictLogger" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:16.324408Z", + "start_time": "2020-02-23T05:28:16.276157Z" + } + }, + "outputs": [], + "source": [ + "# Params\n", + "device='cuda'\n", + "use_logy=False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load kaggle smart meter data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:25.245718Z", + "start_time": "2020-02-23T05:28:16.326850Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((48, 17), (48, 1))" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_train, df_test = get_smartmeter_df()\n", + "data_train = SmartMeterDataSet(\n", + " df_train, 24, 24\n", + ")\n", + "x, y = data_train[0]\n", + "x.shape, y.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:12:59.411858Z", + "start_time": "2020-02-23T05:12:59.355519Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:13:42.267550Z", + "start_time": "2020-02-23T05:13:41.950416Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.165383Z", + "start_time": "2020-02-23T05:28:25.248081Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x_rows, y_rows = data_train.get_rows(10)\n", + "y_rows.plot()\n", + "x_rows.drop(columns=['month','day','week','minute','hour','dayofweek', 'future', 'holiday']).plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:16:06.188405Z", + "start_time": "2020-02-23T05:16:06.095767Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.759070Z", + "start_time": "2020-02-23T05:28:26.169491Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Show split\n", + "df_train['energy(kWh/hh)'].plot(label='train')\n", + "df_test['energy(kWh/hh)'].plot(label='test')\n", + "plt.title('energy(kWh/hh)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Default params" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.812137Z", + "start_time": "2020-02-23T05:28:26.761954Z" + } + }, + "outputs": [], + "source": [ + "default_params = {\n", + " 'attention_dropout': 0,\n", + " 'attention_layers': 2,\n", + " 'batchnorm': False,\n", + " 'det_enc_cross_attn_type': 'multihead',\n", + " 'det_enc_self_attn_type': 'uniform',\n", + " 'dropout': 0,\n", + " 'hidden_dim': 64,\n", + " 'latent_dim': 32,\n", + " 'latent_enc_self_attn_type': 'uniform',\n", + " 'learning_rate': 2e-4,\n", + " 'n_decoder_layers': 2,\n", + " 'n_det_encoder_layers': 2,\n", + " 'n_latent_encoder_layers': 2,\n", + " 'use_deterministic_path': True,\n", + " 'use_lvar': True,\n", + " 'use_rnn': False,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_de': False,\n", + " 'use_lstm_d': False,\n", + " 'use_lstm_le': False,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.867181Z", + "start_time": "2020-02-23T05:28:26.814318Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'batch_size': 16,\n", + " 'grad_clip': 40,\n", + " 'max_nb_epochs': 20,\n", + " 'num_workers': 4,\n", + " 'target_length': 24,\n", + " 'vis_i': '670',\n", + " 'num_context': 24,\n", + " 'num_extra_target': 24,\n", + " 'min_std': 0.005,\n", + " 'num_heads': 8,\n", + " 'context_in_target': True,\n", + " 'x_dim': 17,\n", + " 'y_dim': 1}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "user_attrs = {\n", + " 'batch_size': 16,\n", + " 'grad_clip': 40,\n", + " 'max_nb_epochs': 20,\n", + " 'num_workers': 4,\n", + " 'target_length': 24,\n", + " 'vis_i': '670',\n", + " 'num_context': 24,\n", + " 'num_extra_target': 24,\n", + " 'min_std': 0.005,\n", + " 'num_heads': 8,\n", + " 'context_in_target': True,\n", + " 'x_dim': x.shape[-1],\n", + " 'y_dim': y.shape[-1]\n", + "} \n", + "user_attrs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train helpers" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.920261Z", + "start_time": "2020-02-23T05:28:26.869468Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "now run `tensorboard --logdir optuna_result/anp-rnn5_s\n" + ] + } + ], + "source": [ + "PERCENT_TEST_EXAMPLES = 0.5\n", + "# name = 'anp-rnn4' # study name\n", + "\n", + "MODEL_DIR = Path('.')/ 'optuna_result'/ 'anp-rnn5_s'\n", + "MODEL_DIR.mkdir(parents=True, exist_ok=True)\n", + "print(f\"now run `tensorboard --logdir {MODEL_DIR}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:26.969727Z", + "start_time": "2020-02-23T05:28:26.922604Z" + } + }, + "outputs": [], + "source": [ + "from pytorch_lightning.callbacks import EarlyStopping" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:27.045245Z", + "start_time": "2020-02-23T05:28:26.972222Z" + } + }, + "outputs": [], + "source": [ + "def main(trial, train=False, name='anp-rnn', optuna=False): \n", + " \"\"\"Setup pytorch lightning train.\"\"\"\n", + " checkpoint_callback = pl.callbacks.ModelCheckpoint(\n", + " os.path.join(MODEL_DIR, name, 'version_{}'.format(trial.number), \"chk\"), monitor='val_loss', mode=\"min\")\n", + "\n", + " # The default logger in PyTorch Lightning writes to event files to be consumed by\n", + " # TensorBoard. We create a simple logger instead that holds the log in memory so that the\n", + " # final accuracy can be obtained after optimization. When using the default logger, the\n", + " # final accuracy could be stored in an attribute of the `Trainer` instead.\n", + " logger = DictLogger(MODEL_DIR, name=name, version=trial.number)\n", + " \n", + " if optuna:\n", + " early_stop_callback=PyTorchLightningPruningCallback(trial, monitor='val_loss')\n", + " else:\n", + " early_stop_callback = EarlyStopping(\n", + " monitor='val_loss',\n", + " min_delta=0.00,\n", + " patience=2,\n", + " verbose=True,\n", + " mode='min'\n", + " )\n", + " \n", + "\n", + " trainer = pl.Trainer(\n", + " logger=logger,\n", + " val_percent_check=PERCENT_TEST_EXAMPLES,\n", + " gradient_clip_val=trial.user_attrs[\"grad_clip\"],\n", + " checkpoint_callback=checkpoint_callback,\n", + " max_epochs=trial.user_attrs['max_nb_epochs'],\n", + " gpus=-1 if torch.cuda.is_available() else None,\n", + " early_stop_callback=PyTorchLightningPruningCallback(trial, monitor='val_loss')\n", + " )\n", + " model = LatentModelPL(dict(**trial.params, **trial.user_attrs))\n", + " if train:\n", + " trainer.fit(model)\n", + " \n", + " return model, trainer\n", + "\n", + "\n", + "def add_sugg(trial, name):\n", + " \"\"\"Add optuna suggestions and user attrs\"\"\"\n", + " \n", + " trial.suggest_loguniform(\"learning_rate\", 1e-5, 1e-2)\n", + "\n", + " trial.suggest_categorical(\"hidden_dim\", [8*2**i for i in range(6)])\n", + " trial.suggest_categorical(\"latent_dim\", [8*2**i for i in range(6)])\n", + " \n", + " trial.suggest_int(\"attention_layers\", 1, 4)\n", + " trial.suggest_categorical(\"n_latent_encoder_layers\", [1, 2, 4, 8])\n", + " trial.suggest_categorical(\"n_det_encoder_layers\", [1, 2, 4, 8])\n", + " trial.suggest_categorical(\"n_decoder_layers\", [1, 2, 4, 8])\n", + "\n", + " trial.suggest_categorical(\"dropout\", [0, 0.2, 0.5])\n", + " trial.suggest_categorical(\"attention_dropout\", [0, 0.2, 0.5])\n", + "\n", + " trial.suggest_categorical(\n", + " \"latent_enc_self_attn_type\", ['uniform', 'multihead', 'ptmultihead']\n", + " )\n", + " trial.suggest_categorical(\"det_enc_self_attn_type\", ['uniform', 'multihead', 'ptmultihead'])\n", + " trial.suggest_categorical(\"det_enc_cross_attn_type\", ['uniform', 'multihead', 'ptmultihead'])\n", + "\n", + " trial.suggest_categorical(\"batchnorm\", [False, True])\n", + " trial.suggest_categorical(\"use_self_attn\", [False, True])\n", + " trial.suggest_categorical(\"use_lvar\", [False, True])\n", + " trial.suggest_categorical(\"use_deterministic_path\", [False, True])\n", + " trial.suggest_categorical(\"use_rnn\", [True, False])\n", + " trial.suggest_categorical(\"use_lstm_le\", [True, False])\n", + " trial.suggest_categorical(\"use_lstm_de\", [True, False])\n", + " trial.suggest_categorical(\"use_lstm_d\", [True, False])\n", + " \n", + "\n", + " # non hyperparams, ones that we want to keep constant\n", + " trial._user_attrs = user_attrs\n", + " \n", + " # For manual experiment we will start at -1 and deincr by 1\n", + " versions = [int(s.stem.split('_')[-1]) for s in (MODEL_DIR / name).glob('version_*')] + [-1]\n", + " trial.number = min(versions)-1\n", + " print('trial.number', trial.number)\n", + " \n", + " return trial\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T05:28:27.102225Z", + "start_time": "2020-02-23T05:28:27.047793Z" + } + }, + "outputs": [], + "source": [ + "def try_manual(params, name):\n", + " \"\"\"Run a manual trial using optuna\"\"\"\n", + " params = {\n", + " **default_params, \n", + " **params\n", + " }\n", + " trial = optuna.trial.FixedTrial(params)\n", + " trial = add_sugg(trial, name=name)\n", + " print(dict(params=trial.params, user_attrs=trial.user_attrs))\n", + " model, trainer = main(trial, train=False, name=name)\n", + " try:\n", + " trainer.fit(model)\n", + " except KeyboardInterrupt:\n", + " pass\n", + "\n", + " # plot, main metric\n", + " loader = model.val_dataloader()[0]\n", + " vis_i=670\n", + " plot_from_loader(loader, model, i=vis_i)\n", + "\n", + " r = trainer.test(model)\n", + " model.logger.experiment.add_hparams(trial.params, model.logger.metrics[-1])\n", + " print('logger.metrics', model.logger.metrics[-1:])\n", + " print(r)\n", + " return trainer, model, params, r" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-15T07:05:44.545917Z", + "start_time": "2020-02-15T07:05:44.487280Z" + } + }, + "source": [ + "# Train all the features" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "trial.number -2\n", + "{'params': {'learning_rate': 0.001, 'hidden_dim': 64, 'latent_dim': 8, 'attention_layers': 2, 'n_latent_encoder_layers': 4, 'n_det_encoder_layers': 4, 'n_decoder_layers': 4, 'dropout': 0, 'attention_dropout': 0, 'latent_enc_self_attn_type': 'ptmultihead', 'det_enc_self_attn_type': 'ptmultihead', 'det_enc_cross_attn_type': 'ptmultihead', 'batchnorm': False, 'use_self_attn': True, 'use_lvar': True, 'use_deterministic_path': True, 'use_rnn': False, 'use_lstm_le': True, 'use_lstm_de': True, 'use_lstm_d': True}, 'user_attrs': {'batch_size': 16, 'grad_clip': 40, 'max_nb_epochs': 20, 'num_workers': 4, 'target_length': 24, 'vis_i': '670', 'num_context': 24, 'num_extra_target': 24, 'min_std': 0.005, 'num_heads': 8, 'context_in_target': True, 'x_dim': 17, 'y_dim': 1}}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:root:gpu available: True, used: True\n", + "INFO:root:VISIBLE GPUS: 0\n", + "INFO:root:\n", + " Name Type \\\n", + "0 model LatentModel \n", + "1 model._latent_encoder LatentEncoder \n", + "2 model._latent_encoder._encoder LSTMBlock \n", + "3 model._latent_encoder._encoder._lstm LSTM \n", + "4 model._latent_encoder._self_attention Attention \n", + "5 model._latent_encoder._self_attention._W MultiheadAttention \n", + "6 model._latent_encoder._self_attention._W.out_proj Linear \n", + "7 model._latent_encoder._penultimate_layer Linear \n", + "8 model._latent_encoder._mean Linear \n", + "9 model._latent_encoder._log_var Linear \n", + "10 model._deterministic_encoder DeterministicEncoder \n", + "11 model._deterministic_encoder._d_encoder LSTMBlock \n", + "12 model._deterministic_encoder._d_encoder._lstm LSTM \n", + "13 model._deterministic_encoder._self_attention Attention \n", + "14 model._deterministic_encoder._self_attention._W MultiheadAttention \n", + "15 model._deterministic_encoder._self_attention._... Linear \n", + "16 model._deterministic_encoder._cross_attention Attention \n", + "17 model._deterministic_encoder._cross_attention.... BatchMLP \n", + "18 model._deterministic_encoder._cross_attention.... NPBlockRelu2d \n", + "19 model._deterministic_encoder._cross_attention.... Linear \n", + "20 model._deterministic_encoder._cross_attention.... ReLU \n", + "21 model._deterministic_encoder._cross_attention.... Dropout2d \n", + "22 model._deterministic_encoder._cross_attention.... Sequential \n", + "23 model._deterministic_encoder._cross_attention.... Linear \n", + "24 model._deterministic_encoder._cross_attention.... BatchMLP \n", + "25 model._deterministic_encoder._cross_attention.... NPBlockRelu2d \n", + "26 model._deterministic_encoder._cross_attention.... Linear \n", + "27 model._deterministic_encoder._cross_attention.... ReLU \n", + "28 model._deterministic_encoder._cross_attention.... Dropout2d \n", + "29 model._deterministic_encoder._cross_attention.... Sequential \n", + "30 model._deterministic_encoder._cross_attention.... Linear \n", + "31 model._deterministic_encoder._cross_attention._W MultiheadAttention \n", + "32 model._deterministic_encoder._cross_attention.... Linear \n", + "33 model._decoder Decoder \n", + "34 model._decoder._target_transform Linear \n", + "35 model._decoder._decoder LSTMBlock \n", + "36 model._decoder._decoder._lstm LSTM \n", + "37 model._decoder._mean Linear \n", + "38 model._decoder._std Linear \n", + "\n", + " Params \n", + "0 896 K \n", + "1 140 K \n", + "2 119 K \n", + "3 119 K \n", + "4 16 K \n", + "5 16 K \n", + "6 4 K \n", + "7 4 K \n", + "8 520 \n", + "9 520 \n", + "10 162 K \n", + "11 119 K \n", + "12 119 K \n", + "13 16 K \n", + "14 16 K \n", + "15 4 K \n", + "16 26 K \n", + "17 5 K \n", + "18 1 K \n", + "19 1 K \n", + "20 0 \n", + "21 0 \n", + "22 0 \n", + "23 4 K \n", + "24 5 K \n", + "25 1 K \n", + "26 1 K \n", + "27 0 \n", + "28 0 \n", + "29 0 \n", + "30 4 K \n", + "31 16 K \n", + "32 4 K \n", + "33 593 K \n", + "34 1 K \n", + "35 591 K \n", + "36 591 K \n", + "37 137 \n", + "38 137 \n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + 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\n", 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mqtatM0lNbUNSUip5ebtC76gOJSV5zJ17NR98MMujk7gu8RAp6C4I4mA4zR6jERiaHYFG/HiioMBBqOsni8XC9de/ScuWbUlJSQt9EIhT2LVDODm5JatWvUtZWSGZmVmMG3exx9ds3vwtc+deRVbWMP7+97fDun+4uJuGTORQ7DGCwNDsCFUj0BomT25HdbWVm256j6OOOivoPtLTu9XpMzjHbUVFCQsW3MbWrSt4+OH1WCwJJCWlctVVc+ncuR+9eg33+trU1Dbs27cVpeLDEOAyCRmNIPYYQWBoVtjtodcILimBiopSQJOZ2SuscTgcDv7zn8fZuPFLbrvt41r5f3yRnNyKX375jIMH/2DbtpX0738cAMceO9nva7t1G8jDD6+nS5cBYY09Uthsko7aaASxxwgCQ7MiXP/ACy/sZfPm5XTvXrfGUnCUlubz8cePUVycw4YN/2PIkJMDep3FYuGqq+bSvn3XoMeQmJjk0YkcK8xegvjBCAJDsyJcQdCuXWeOPXZS2ONo0yaTv/51Pna7za8Q+PTTp7FayzjnnDtRSgUsNOIdl5/AaASxxwgCQ7Mi9B3FgZeFDJRhw07z22b//m288cYtOBx2Bg8+mb59jwnrnps3L+fzz/9N376jmDDh+rD6CheXADAaQeyJD6+RwdBAhCoISkrgpZeu5cYbD+PDDx+O7KCAAwd+5+OPH693vnPnvlx33ZtccslTYQsBgKKi/axYsYCff14adl/hYjSC+MFoBIZmg8Mh6adDoagINmz4goMHt5Od/VNEx1VZWcpddx1LSUkuXbsO4KijzqoVHjp69J8jdq/+/ccwffpL9O49ImJ9horxEcQPRiMwNBvC9Q9MmvQvxo27hPHjL4vYmEDSP5x77kyOPfbP9O8/ht9/X8OMGSM4cGB7RO8D0L59F0488UqfYaYNhclAGj+YegSGZkNxMeTnB/+6qipYty7y43HH9TtUSvHII2ewfv2nnHrqdVx++Zzo3jiGdO8uR1qa1E02RJd4Ll5vMDQYoWoE4aSVCBT3TWU33LCIjz9+jD/96a6o3Gvnzl/49dcv6NNnBIcfPi4q9wgE4yOIH4xpyNBsCFUQFBdDdvbPPP30n1m69NnIDsoDqamtmTz5PhITW0Sl/3XrPmb+/JtYter9qPQfKMZHED8YQWBoFmgdnqN41ar3+eGHd3j33XsiO7AYMHDg8Zx00jUMGnRCTMdhfATxgzENGZoFoRarLy4WTaJz57506TIganUEGpIBA8YwYMCYWA/jkGnIaASxxwgCQ7Mg2IyjJSWwdy8UFMjzceMuYty4iyI/sGaM0Qjih6gKAqXUBOBpIAF4SWv9cJ3rTwInOp+2BDpqrdtFc0yG5oXdDoWFge8KLiqCPXtEE2jKlJUVsnv3Bjp06E16eteYjMH4COKHqPkIlFIJwHPA6cAgYKpSqlaWLK31TVrr4Vrr4cAcILbeK0OTweGQ1fzu3bK69zXZaA15efDLL7Bpk2chsHr1Bxw48Ef0BtzAzJ9/M/feO5a1az+M2RiMRhA/RFMjOAbYprXeDqCUWgicA2z00n4q0Pg9cYaYorVM5EVFgU8w+/dDdrb36zabjSeeOA+AF17YR7t2nSMw0tjSp88Idu78iaSkljEbg/ERxA/RFATdAPd6fLuBUZ4aKqV6Ar2B/0VxPIYmTlmZbBgLtt6APzNQXt4uWrRIwW63NQkhAHDqqX/j1FP/FtMxaF1TuN7ULY4t8eIsvgB4V2vt8SeslJoOTAfIyspqyHEZGglWK+TmBr+6dGkQvujUqTevv14R+uAMXrHZoEULoxXEmmjK4D1AD7fn3Z3nPHEB8Ja3jrTWc7XWI7XWIzt06BDBIRqaAlqHJgQAystDr1jWFKiqqgio4H20MH6C+CCagmA10E8p1VsplYRM9kvqNlJKHQ60B76P4lgMTZiCgtA3izX16CBfPPPMVC67rBWbNn0TszGYNBPxQdQEgdbaBlwHLAU2AW9rrTcope5TSk10a3oBsFA3tux3hrigoiK8yTyQ195442FcdFESS5Y8GvqN4pBWrdqhlIX8/N0xG4MpThMfRNVHoLX+BPikzrm76zy/N5pjMDRdHA4J+wyHkhL/bYqKDmC3V5Oa2jq8m8UZU6Y8yCWXPEWLFskxG4PRCOKDeHEWGwxBk5dXM5GEQllZYK9/9tmdbNmynAEDxoZ+szgkLa19rIdgNpXFCUYQGBolZWVyhEOgJqW0tHRGjJjov6EhaIyzOD4wkbuGRofdHr5JCJq3o9jFq69ez+23DyUnx8eOuihiNpXFB0YQGBodubmRWUEG4h/46KPHuP76Xrz66vXh3zAO2bNnI7t2/cKuXb/G5P5GI4gPjGnIEHcUFMhuU4sFEhLkr+uoqJAjXAL1D/zyy+fk5mbz229NM7p5ypRZKKXo0WNITO5vfATxgREEhriitLRhSkMGahY644y/k57eLaL5++12qXGQmhqxLkOmX79jY3p/oxHEB34FgVLKAgwDugIVwK9a64PRHpihedIQQgBqBMHy5QtYtGgmubk7yczMYsqUWYwdO+1Qu+HDT2f48NMjck+tYc0amD9fUmOfdRZMnAgpKRHpvlFifATxgVdBoJQ6DPgHcDLwG5ADpAD9lVLlwP8D5mmtjSw3RISystB3CAdLSYkIgRdfnE5VVTkAubnZvPjidADGjp3mV0gEw759MG8e/PRTzbkPPoCvv4YLL4TjjhNzWCxYseItVq/+gGnTHqNDh54Nem+jEcQHvjSCB4AXgGvq7vpVSnUELgQuBuZFb3iG5kRDaQPl5bISXbRo5iEh4KKqqpy33roDgBdfvJqqKnFI1BUSgVJZCR9+CB9/LPds2RImT4ZeveD11+GPP+DZZ2HZMrj0UujdOzLvMRhWrnyH1as/YMiQkznppOkNem/jI4gPVGPL7DBy5Ei9Zs2aWA/DEGHKy+FgAxkc9+518K9/3chnnz3r8bpSioyMLHJz64dUZmb2ZM6cHYCYdwoKxLSTnCx/U1LEqa01rFolZiBXqOv48TB1KrRtK88dDtEIFi4UU5VScMIJMGmSvL6wUISj+1+bDcaOhcMPj5wG8dNPSzlw4HdGjJhIRkb3yHQaIElJcNRR8vl16dKgt252KKXWaq1HeroWkLNYKXUc0Mu9vdb69YiMzmBAJrlosXjxAmbPnsnevTvp2jWLiRNvYdmy5722FyGw0+O1vDw5X1wMt9wiAqwuycmSWtlVHrN3b7jsMujfv3Y7iwVOPBFGjYL33oOlS+HLL+Xwxf/+J32dcw4ceWT4AmHYsNPC6yAMjI8gPgjEWTwfOAxYD7gS9mrACAJDRKiokCiaaLB48QJmzJhORYXM2Hv2ZPPyy3dw5JFnUVZWwB9/rK1lHkpKasmUKbOcvoH6GkFGhtTD+O47EQJpaXJUVsr7sFprjlatYMoUOOkk30VXWraEiy+Wdm+8ISUz09KgXTs52raVo1078W189hls3QqPPQY9e4pAGDXK8z0qK8U/kZMjbTt1Cu/z9IfNBitXilDLy4OBA2HoUDnaeahG7nCIEDA+gtgSiEYwEhhksoMaokU0tYHZs2ceEgIuqqrK2bnzJ+bM2XHIIZyXt5OMjNoOYXdHMtQICYBvnJmbr7gCRo+u6dvhEKFWUSGTeYsWgY+1a1e4/faaql3eOPts+OIL+M9/pMTmM89A584wYYK8du9eOfbtk4pt7vTsCcccI0d3NytQXt5uVq58h7S0DI4//hIcDjHV7dolGs5hh4lg80ZpqWgqS5fWvueKFXK47u0SCgMG1Hw2djskmkD2mOLXR6CUege4QWu9r2GG5Jum4COw22WlplT9A+QHEqsIkoamslJqBkeLPn0sePqOK6V4803fy1BvQiI7G+64QybG558XO3csqKqCb7+FJUu8+1cSE0ULyMiA336rvRmva1cRCEcfDVu2rOD111+lTZtT6dLlz2Rny//Gna5doW9fOfr1gx495L6ffiqC0WqtaXf66dJmwwb4+WfYtKm21te6NTz0kIzryCPFt9KzYQOWmh2+fAReBYFS6iPEBNQaGA6sAqyu61rrmGThauyCQGuZ+KxW720SE+UHEg8bjqLN/v31J5xIMnZsL/bs8e30DZb58+GTT+Dkk+HKK8McYASw2+GHH8Qk06aNOF27dpWjQ4cak1F1tZidVq2CtWtrfBjeaNdOJufyctixo35ob1KSnHNNIUOGwBlnyIq/rpmqqgo2bxah8O234mO5+WYRQkOHinmsV69IfBoGb4TqLJ4dpfE0W7SWFZQvIQBiZz1wQH4c6elNV22urIyuEAC49dZZtXwEUNvEEyw2GyxfLo/Hj4/ECMMnIQHGjJHDFy1aSITOUUfJ+9i0SYTC+vVi/unVSyZ+1+GKbgJpn50tWsW2bfL34EHpc+xY0QB69PB6a5KSasxCJSWiQbgEkXtNAlPAPjZ4nWK01l835ECaA3l5weXJKS+X9u3ayUqvqZmLGmLfwLnnir3fFTVU1w8QLOvXy2q2WzexmzdWEhNlBT8kwBRDiYnyft3fc3GxnG/ZMrh7p6XJX1fSP7OXIPYEEjV0HvAI0BFQzkNrrdtEeWxNioIC/6q4J7SueW16etMxF1mtkUke548ffviKOXPuZ9y4U7nxxrns2BFefy4n8fHHNz3BrLVm27aVbNz4FWeffTsWP8vzNiHOAK2dhd48aQQJCaH1aQiPQIwOjwJna603RXswTZXi4vBXv9XVYi5KSpJVmPvRooX8bUwTU0PtIl62bAnbt2+huLiQyy+fG1ZfxcWwbp18zuPGRWiAccZTT00iP38Pw4ZNoFev4VG5h0sjcAkCU7c49gQiCA4YIRA6ZWX1Q/jCoarKe8x927bQPvbVB71it9dUFvPnJ4kUp5wykX37dtGrV9+wC9F89528h+HD4/tzDhWlFCeccAWlpfkkJ/uIFQ0Tl0bgMg2ZusWxx1fSufOcD9copRYBi6kdNfR+lMfW6KmokCIqDUVxcfCx69HG4RBfR1lZw5iC6nLssSdw7LEnUF4uESvh8LXTaxYvTuJoMHnyfVG/R12NwPgIYo8vjeBst8flwKluzzXgVxAopSYATwMJwEta64c9tPkzcK+zz5+01hf6H3b8U1kpuzkb8suttTikO3duuHt6w24XTai8PPY/cNfnEg7Z2RJC2aqVRN0YQsebs9hoBLHDlyBYBizVWof0E1JKJQDPAacAu4HVSqklWuuNbm36AXcCY7TWBc6spo0al3M3VvVwKytl9e1rF2hDkJMT/dBQf+TlFXLnnX/jsMPGM358eFk1XU7i446L3QayhqKqqpLNm7+hXbsuZGVFvnJZXWex0Qhij6+wgB7AO0qpb5VS9yqlRikVlDvyGGCb1nq71roKWAicU6fN1cBzWusCgMZe8KaqSrb1x7ooekFBbH9UhYWxFQJlZfD77/D660tZtuxNXnopvHrD8bh3IJp89NGjPPTQaXz++b+j0r+7aUhr4yOIB7wKAq31I1rr/wPOAH4CrgDWKaXeVEpdopTyl76qG7DL7flu5zl3+iOFblYopX5wmpIaJUVFIgSilTwtGGy26Obv8UVlZezuXVgIGzfK7tmcHEhKSqVjxz707Ble9Iv73oE+fSI02Dhm2LDT6NXrSDp37heV/pOSZAOb3S5+IxM1FHv8Rg1prUuAD5wHSqlBwOlI9tFw89cmAv2AE4DuwDdKqSFa61pTiVJqOjAdICsrK8xbRhabTRzCsTaD1CVQx7HdLhNoRkb497TbZQKOBfn5kpHTnREjJjJiRPiZUFxmofHjG1eIbqj07TuKhx5aF9V7pKVJ5FhJCWRmyjmjEcSOgDZ0K6W6KaWOU0odD2QCq7XW/oTAHsS85KK785w7u4ElWutqrfUfwFZEMNRCaz1Xaz1Saz2yQ4cOgQy5QaislCyP8SYEQFZX/sJWq6pk/CUlkTFn5eXV2HsbkuJiSXkQrb5dewfGjo3OPZoKWmt+/PETtmxZ4betu5/A+Ahij19BoJR6BFgB/BO4zXncGkDfq4F+SqneSqkk4AJgSZ02ixFtAKVUJmIq2h7o4GNNfn58r2IqKjwXTgE5v29fzY+woKDGVhsKxcXe7xW9NVkAACAASURBVBVNysthyxbPk8jKle9RWhreJo4VK+QzGjasae4d8EVpaQGbNy8PuP0337zOo4+eyfz5Nx3K+Gq3e/5SuUcOGR9B7AlEIzgXGKC1PkNrfbbz8Ktva61twHXAUmAT8LbWeoNS6j6llOv1S4E8pdRG4EvgtlCjlBqasrL48Af4Iz+//iRZVCQJw9zPhxNiWVUlgqShsVolo6UnLaSo6CBPPTWJq6/OoKoqNJVN6+axd8ATxcW5XHNNBx5+eAI2m+cvutaaoqKa+I5RoybRo8cQjj12Cl999SrXXtuFt9++y+NrjUYQXwSys3g70AK3zWSBorX+BPikzrm73R5r4Gbn0aiIlUM0WGw2mfjbtauZ7L3lPKqokGuu1VogOBwNv18CJOVG3Rz37uzevZHExCSUSiApKSWovgsLJUrom2+kMEtz3DvQpk0mPXsOIzW1DUVFB8jIqJ1atLQ0n/vuO4Hq6kpmz95IQkIiKSmteOSRn1BKsXLlexQW7mfv3s0e+/e0qcxoBLHD187iOcgmr3JgvVLqC2rvLL4h+sOLT8rK6udmj2eKiiRZXX6+/9QO+fnSNtDkX/n5Df9Z2O1iDvLlmzniiBOYP9+KLUB7V1WV+AK++QZ++qlmUkpLk3rDTX3vgCceeGAVFksChYX7eeedu7HZqpg6VfaEtmrVnrKyfKqqKtm7dws9ehwBSJoKgKFDT+Wpp36nQ4deHvv2lGbCaASxw5dG4Kr+spb6tv1mTWPRBlxoLf6AQHA4ZHL355PXWj6HUDKqhoPWEh0U6H0T/RRzsNngrbfEBFRWJucSEmDkSMkweuSRTbcehD8sFlkNOBx23n//flJS0pg8+X4SE1uglOLOOz+jY8c+HjWu1NTWpKa29tq3p8RzRiOIHb6+4kXAd419k1ekKS2N3gp48eIFh/Lmd+2axa23zjqUT78hce1M9pZnvqpKQmaj4SOx2yWdA0iREoulpoynxSIryEAylzocDr9plEFq/37iNF726iWT/5gxoadYboqkp3dj8uT7yMoaVut89+6DQu6zbpoJoxHEFl+C4CLgOaVUOfAdEjn0ndb61wYZWRziWgVHg8WLF9SqpLVnTzYzZkhahFgIg7w8qSNbdy4tKpLPIFo/2j17vNffDYZLLknGYknkgQdWk5U12Gs7147hq66Ck04K/75NlfPO8+z09cWaNUv48suXOOaY8xk//tJa1zylmTAaQezwtbN4kta6G5IraCkwFJinlMpRSn3i7XVNmdLS8EIsfTF79sxa5RQBKirKmT17ZnRu6Ae7vXYkkM0m9YWjmb6ivFz2NYRLfv5e7HYb1dWVdO3a32u7/ful7GJysv8yj4bgyc/fxbp1H7FpU/1ih3VNQzabEQSxJJCdxTuUUilAqvNwPW5WaB3dYip79+4M6nxDUFIiJqLqahEA0f6h/vFHZPpJT+/KCy/sY8uWFSQmevfyrnDuezr6aNF+DJFl+PAzuOGGRfTpU79eel1nscNhTEOxxFfU0AxgNNAB2AL8ADwLTNdax2D/aGxx3/gSDTp37s6+fbvqne/aNbYpNQ4caJgf6MGDNZNCJGjXrjOjRp3v9brWNYLAaAPRoWPH3nTs2NvjNU8aAZgC9rHC10d+CdAV+C+wAHhTa/1jcxQC0dYGAK666hbqJndNSWnJrbfOiu6N/dAQQqCqqsZB3FD88YdEUrVpE3gBd0PkaNlSJvzKShECZlNZbPHlIzgc8Q+sQdJAfKCUWqWUelEpdXkDjS8uKCmJfg6dK664kSeemE/nzjUJWidM+FNMHMUNzc6dkf18b799KDfd1J9Nm77x2salDYwebQqmR5Nt21by3nv31UtVoVTtyCFTnCa2+PQRaK3zgY+VUv8FRgDHA9cgKalfjf7wYk80tIHq6tpJ3hwOBwkJFo4/fhrHHz+N++67lKqqcq67LvhIjcZGUVHky3nu3r0BrR0o5Xmd43BI/WEwieSizY8/fsL7799HVVUFhx9e+8NOS5PfgUkzEXt8+QgmAscBY4AjgA1ICOktSDhpk8eVwTOSq1WrVXLmu3b4vv/+A3z66VNcd90Chg2ThK4XXDCPDh2ga9fI3TcUor2vweGInIO4pk8HF1/8BFu3fk/fvsd6bLNhg4TAduoEhx0W2fsbajNkyClUVZUzZMgp9a65O4xN4rnY4ksjuAyZ+G8H1jqrjDUbbDbJoeMvJUMwlJVJkjTXhjSHw8GSJQ9jtZbx3/8+c0gQgNw7J0fqBHTt2vClJxtiX0M0UnhbLBZOP/1GTj/9Rq9t3J3EzaG+QCw5/PCx9TQBF+4OY6MRxBZfPoLztNaPA+3qCgGl1F+iPrIYUloqk1QkhUBRkaxE3XclWywWZs1aTf/+Y7jxxndqtT9w4HeefPJ8br75FH75RQRIJKNqXCxevICxY3vRp4+FsWN7sXjxAgAeeuj2qO5rqKiQzWMNTVUVrFolj020UGxx1wiMjyC2BJJF5S6llFVr/T8ApdTtwIlAdAqaxhCHQ3bUunLORIqcHKmh64lu3Qbyr3/Vz/l+8OAOVq16H8CZUz+dwkLZ/OR+JCXVlP5LTg4u9M7Xqj8nx3Nyokjsa7DbxSQUjdXfvHk3UVx8gNNPv4m+fY+ud33dOhFCvXvH3vTWXCgs3M+OHT/SrdvAWkno3DUCl2nIaASxIRBBMBFxGN8GTAAOp34R+kaP1SoTdqT3CuzdK1ExLpYvX8CiRTPJzc0mMzOLKVMeZOzY+qaWIUNOonfvEQwYMAaLpebfZLV611TatoWBAwMfm6/dzF27ZrFnT/2YzlD3NVitYpcvKBDtKFo/+K+/fpWKiiJ69BjiURC4zELGSdxwvPvuPXzxxVwuvvhJzjjj74fOe6pJYDSC2BDIzuJcp+P4cyQT6SStm5bcLiqKTmGVHTskjYGL5csX8OKL06mqksk3N3cnL74oK3BPwuDBB9fUO+eLoiIxt3Tr5r8t+N7N/MQT82tpCwDJySlB7WsoLa2Z/COtZXnjyCPP4PffV3PkkWd6HM+PP4pfYPTohhmPAfr1G83evVto27ZjrfOewkeb1szSePAVNVSC1CNwkQT0ASYppbTWuknkZywsjHwiuYoKMX3UrQO8aNHMQ0LARVVVOYsWzfQoCEJh1y5ZaQWSPdPXqt/lEJ49e+ahNi1bpgXsKM7ODjz1dSS5/vo3vV5buVImnMGDm1/ZyVgyfvxljB9/Wb3z7hqB1iYVdSzx5SxurbVu43akaK3TXOcbcpDRwpVJM1LY7WIG+uknz8Xgc3M9r8Dz8rzb3X/+eRn33DPWa8k/T2zbFliq7FtueYDk5Nppo1JTa3Yzn3vuNJYv38E774gPw+FwUB5AYeJ9+2IjBPxhzELxhUlFHT94FQRKqV6+XqiE7pEeUENRXBxZc1BBAfz8s+/smZmZnu3rGRne7e5fffUKW7eu4Isv5gY8lqoq785pd3r06I3VWoFSCqUU3br15MEH59Zb9Y8cOYY33vic9evzaOmtSIGT3FxYsGAB11/fi6lTLVx/fS+WL18Q8NjDYd26j/nmm9cpLq6/Qy0vT0pbtmghSeYMDU9xcS6VlTUVhUxxmvjBl4/gMSVbMz9EfAM5SObRvkjU0EnAPcDuaA8y0hQXy0axSGC1ii/An1Cx2WyUlRVgsSTicNR4pJOSWjJline7+/nn30129npOOumaoMZVWChCyVdkzOrV3wLQunUGq1blkJzsve2YMf6T9RcXw7x5df0g2T79IJHkjTduZd++LRxzzPncdNO7ta65tIGjjvJecMcQPZ5//lK+/fZ1rrvuTcaMmQqYcpXxhFdBoLWerJQaBExDUkp0QeoXb0IK0s/SWkd4O1D0KSmJnBDIzxczTCCrmEWLZlBRIfai9u27UVi4l4yMLKZMmeVzguzWbSCPP74ppPHt3Cm+Ak/F6K1WGD/+DgYOvI4DB7azdSsccYT/8NNff13H668/y6OPvlLrfHm51BFeuDD6fhBvtG3bkZycHRx++Lh614xZKLZ06NCTlJQ0yspqfnzuGoHDYYrTxBJ/uYY2AiHvIFJKTQCeBhKAl7TWD9e5fhnwGODaWvSs1vqlUO/nj9JSMRFEAptNHMKBfnGnTn2Y0tJ82rbtxAUXNFxG0d9+k+yarrq7rvrFu3fL2FNS0ujZcyhlZWJO6tfPe185Ofs5++wRAJx00tmcdtqfABEqmzfLDzkUP0ikuOee+knmHA5Yv16EYqtWMHx41Idh8MA559zJ+effW6t8aGIipKZKcEV5uXx/jEYQG6JWllsplQA8h2Qw3Q2sVkotcQoXdxZpra8LtN9Q4/xLSyOb3GznzuBqF1ssFq65JnQZ99//zmHZsuf5298W0KfPUQG/zmqF7duhf38J4dy+3XsoZ16emE28hZ926NCZgQOHUVCQS1qaxAvYbCIEqqpg9eoPyczMIje3fiSSLz9IuNTszdhJZmYWkyfPIj19GqtWwerVNQEBo0c330L0sSYpyXMtq7Q0EQSuvQRGI4gN0fxZHANs01pvB1BKLUQ2otUVBEHhcMikk+S98FQ9bLbIaQIgX9pA6+ouX76Afv2OpVOn8LKbvf32XVRUFDFz5ggyM3v6NSm5k58vk7V7hNQPP7zLs89eSO/eR3H//T8cOr9rl6zS0tM997VkyRoSnbOpwwFbt8oP+cEHT+WXX5YxaNBJFBfn1DIP+fODhEP9vRnZvPDCdOdV+XwyM2HUKJg0KSpDMIRBWpps5HTtLjYaQWyIZi2gboB7ya3dznN1OV8p9bNS6l2lVI9AOg422ic/P3JfMK0Dz5iZn7+XF164lJtu6sePP4Ze5nn58gW1JlaXAzaYaJy6YbJr1y7Bbq+msHB/vbbbtomq7onExES0hvnzF3Dssb0480yJDHJFg6SktOLqq+eSmdkTpRSZmT25+uq5UfMPeNqbAeVYLDOZOBEeeACeeQYuusiUo4w1b775D66/vie//vq/Q+fq5hsyGkFs8KsRKKXeB14GPtVaR/rf9BHwltbaqpS6BpgH/J+HMUwHpgN065ZFRYVkrQzkh+2yP0aK/fv975J1N1UoBRZLIkOGnBzyPRctmondXtsOFa4D9sorn2fo0FM91vR1OMTxO3iwhFu60Fo0qwULFvDss1dis0mui9zcbIqLc5gw4QYuvfRpoCZCyOFwsHjxg7z99l38+c/3hzRWX3jzSWi9k6lTI347QxiUlxeSm7uTnTt/ZvBg+ZnXzUBqNILYEIhG8DxwIfCbUuphpdSAAPveA7iv8LtT4xQGQGudp7V2Zc55CSl+Uw+t9Vyt9Uit9cj09A5AYFqBq55ApKiqEierL1ymCrGTa7TWWCwJ/PDDO75f6INoOGBTUtIYN+4iRo/+s8frVqs4ml0/zLw82SexbRu88cbMQ0LARVVVOWvWfFivnw8+eIB33rmLDz98iNLSyO3eczjggw8Agt+bYYgNZ511G7Nnb+S002pcgu6bymw2oxHECr+CQGv9udZ6GnAUsAP4XCn1nVLqcqVUCx8vXQ30U0r1VkolARcAS9wbKKW6uD2diISmBoTV6n+lX1wcnEPXH9nZ/ovUeDJVVFdXsmhR6OmbQ9mIFgmKi8UH8PPPIhQqKuR8MILpnHNm0LJlO4YNm1ArYiQcSkrgscfg7bcBZpGQUHtjQDR9EuHQqhV07w5Dh0r0UocOzaseQufOfenWbSAJCTWGCE+J54xW0PAE5CxWSmUAFwEXAz8ixezHApci9YzrobW2KaWuA5Yi4aOvaK03KKXuA9ZorZcANzgT2tmAfKQYTsAUFHjfHGS3R7bEZFFRYA5nTxEzEN7qfcqUWbUcohDeZPf11/N47717GTHiXC699EmfbT1pXsFEBiUmJvLii3kREwLbtsHTT0sEWFoaDBhQSkbGFaxb9xF5eTsD2psRKSwWmdxdxdfrrmiVkn0c6enQrh31Nuwddhj06CHmxgMHol8XOx7xVrfY1JFuWALxEXwADADmA2drrV1ZZBYppXymx9Raf4JsPnM/d7fb4zuBO4MdtIvqallJeNowlZ8fOTXT4ZCwS3dqhyz2OJROul27zh4dsOGs3l2T2qJFM8jN3UmLFqlcfPFTIU9233+/iJycHfz667KQXh+sYHIXAg6Hw6dQWLVKNn+5JlWXA9FlP962TR737QuTJm3h4YelRtJtt33EUUedFdL7CZWsLOjcufY5rWsEQ4sW/ie0pCTpp2tXEQb790dWi403li17gV9//YILLniQLl36G40gTghEI3hGa/2lpwta65ERHk/QFBbKqsxdxa6sjGza47rVynylk542bTZz515FdXXNputImCrGjp0WsVXumWfeQqtW7RgwILRttjWCaWZQq/D5829m2bLnufvur+nbd1S962vWwFNP+Z8IJkyAadOgoCCF3r1HUFCwt8GFQOvWUvO4LkqJAGjhy2jqgcRE2b/RpYuY5LSu+U67/3WFQkcyEq4h+fnnpaxZ8yHHHHN+PUFg6hbHDuWvtIBS6jwPp4uAX7TWAUbTR46hQ0fqJUtqKyLp6bXTLu/dK47dSFBZKdlE3T+m66/v5dE0kpnZkzlzdhzSFhraVBHvXHddFnl5u0hMTMJmq3YW5pHPZvt2uO8+Ebinnw6DBonpJSGh9t+2bWWydMeflhFplBI7f6rnPVINgksg5OZGp4RptPjpp6UUFx9k0KATycjozvbtMHMm9OwJTzwhuaC6dKlvRjOEj1JqrbfFeyAawZXAaMClFZyAJKHrrZS6T2s9PyKjDIOiIjEPWSyymoqUEHjzzQU8+WSN+WfgwPH88cc6v87SSK7ePbFhw//48suXueKKF2jZsvFkBB837iKWLHkUm03+Qa79EKWl8OGH07BaYdw4uPhi/05U98m/IYUAyMo9lkIARIPo1EmOigoRCHl5NRpJQoK0adFC/iYmyqq7qCiytbg9kZoKGRkymZeWinZeViaLqWHDTqvV1mgE8UEggqAFMFBrfQBAKdUJeB0YBXyD+A5iit0uAqB16+DqCyxevIDZs2eyd+9OunbN4tZbZ3HuudOoroZXXlnAE0/UNv98+6281dTUtlRU1PdEN1TI4iOPnEl1dSV9+hxdq/RfIHzzzeusXv0Bxx9/GUcf3bAVR5cvfxOHo7ZHtKqqnDfemIndPo2BA2H6dP9C4NNPn2bRoplMm/YYp5xybRRHXJ/U1MArwDUUqanidO7hZztmR2eBMKtVBILrcE/bkpBQuwZ2UpJMzOXlcngTIq7JPyOjtpDsINHeOBwiDFyCoaBAfrd1E89p3ThNXo2dQARBd5cQcHIQ6KG1zldKxY1by6UJBLqa8Fa4vbQUBg6cxmOPXYHdXl+1SExMZuLEf/DBBw+EHMWzb5+UlLTZao7q6prIk3btYMQI76vOvn2P5cCB32jZsm1gb9aNzz//N7/99j1FRQcaXBB406Ts9p106QI33xxYLqDFix/Eai3jhx/eaXBB0KdP4w/5TE4WoeASDGVl8p6Skvx//na7CATXRs3ExPqTvycsFlmotW4NK1Z8wf/+t5rRo6+hVav2JCSIgKmqMnsJYkUgguArpdTHgGtH1PnOc62ACBd5DB3XqiVQvBVuf/rpmcyZM82jEACw26s499w7yczMCtoPUF0N770HS5b4X/UkJYkwGDtW7NHuP9C77/bouw+IoUNPo6Qkl1GjGj7xjrewU6WyuP12z9FfLtyjtNLTu9GjxxBuuGFhFEdbn86da0wZTYlWrQJvm5BQM6GHyuOP/5Mff/yBzp1HMmTIyYc0eZdWYLX6/i4YIk8gguBvwHnIvgEQs9B7zgL2J0ZrYNHGW+F2l50/LS2D0tL6Gwdc5p9g/QDZ2fD885K11OVsTEmpbcN12XW3b5ckcd9/L0fr1pI5c9w4iT0PZ0U6adI9TJp0T+gdhIGnsFNoyZ/+NKteGKY7daO08vN3U1qazy+/LGswJ3xysn/TiyEwzjprCn37HkO7duL1T0sTQeDaXVxeLgEgjV3zakz4FATOVNKfa61PBN5rmCE1DN4Kt7sm+ksvfToim7jsdvjoI3j3XXncqRNcey0M8JOoIydH4umXLxcz0mefydGunajibds6qK7eTrt2igEDDqN9e7FdewppjBfGjp2GzQYLFsyktHQnkMUpp8xi8mTfk7mn3doNVezGRe/eZpNTpLjiir+Tmyt7QqB+viG7XaL1Yu2Qb074K0xjV0o5lFJttdYR3Kcbe269dRZ33DEdq9XzRB9qrLw7+/bBCy9IegaAk0+W+PdAkuV16ADnngvnnCOlMJcvh+++k5WTOMQtSNVQ+PbbmtddcomEX3pi7dol5OfvYfToKaSleckzHWEqK+X9b9okx7Zt07DZ5DOcNAnOP99/H7EsdgOSxrpduwa5VbPBPY183QykIELBCILI4S83WyCmoVLgF6XUMuDQNi2t9Q1hjSzGjBw5jX79XmPjxq9wOGwec/yHGgZqt8OyZfDWW+IAS0+Ha64Rc1CwKCWr0d69RYjk5oog+PrrpXz55Se0bz+SIUMuJi8Pfv0VXn9dXjNhQv2+Fi6cwe7dG1i79iPuuCP0tNj+cDjgk09kl/D27bVTJyglMePHHQdnny2puh999Ey6dx/Eddd5Tqsdi2I3LpKTZbyGyGK1FrF+/ff06DGYtLTuQI1pCMQ85L6pzhA6hYX+N9gGIgjedx5Nhl27xNyyd+9mHA4b48Zdwl//Oi/sfh0Omfzeflu0ARC7/iWXRMb5ZbHURHv07XsKV155Sq0Y+mXL4JVXYJ7zrdQVBu3bd+PAgd8ZPtyLyhABqqrg2WelMhjID7lPHxg4EA4/XA73z2Lp0jlkZ68nO/snLrnkadq0yazXZ6RzLfnClR+obVvRAkyh++jw4IPXs3jxfC67bA6tW0s20rppJsrLg3NkG+pTViaCwF80mF9BoLWep5RKBbK01lsiNL6YkZ1dM0lPnfow33//NiedNN33i/ygtWToXLSopmhNp06ygj/66DAH7AVPm6hOOUXG8uqrIgyUgtPc9u/MmLG03mscDslv07mz/8L1/iguhtmzxRTUsiVcdRUMG+Z7Mp0yZRYbN37F6af/vZ4Q+PLLl8nN3cXkyfcC4ZnpfJGU5PK7iBBo4P1pzZLjjjuRDRt+o1Wr9oc2gLpvKnM9N4IgdKzWwMvzBpJ07mxgNpCE7CYeDtyntZ4YziBjwR9/SGIvF5HYAfzbb7BwIWx0FuBs3x7OOw9OOKFh6uNWVpazdesKhg49BYBTT5Xzr74Kr70mwsB1zh2rVXwLn34qKTmGD4cbbwy9iteBA/DwwyJUMjLgH/8ILMrGYrFw//3f1zu/bdtq5s69GtC0a9eJU065NmqO4X79mmZYaDwzefLl9O9/ORUV8KUzGrqkpPYegspK0RCMkz54bDYppxvo5rxApqp7kfrDXwFordcrpfqEOL6wCXWzSV0hEC5lZfDvf0uiNJCVyznnyAo8mHrK4bB16/fcc89xKGXhjTeqD2kJ7sLg1Vflcf/+60lP747Dkclnn4kZqbS0pq/16yXXz+23B+8Y/f13ePRR0Qh69pQ+vNU89sXy5QuYN+9GSkvzyczsQceOvbFayxk37tLgOwuQDh2MEIgVSUmyMc1TmgmoMQ+Z/09waC1CIJi05oEIgmqtdZGq7bWJ2d4/q1WEQTDqe35+fSHw0kvXYrWWcNZZt9OzZ3BeXIdD9gSsWyfOxNNPh7POang1tm/fUShlISEhkT17NtGjxxGHrp16qoxz3jwRBi1bfkF5eQYWy0U4HPJv79MHzjxT0iDPni3C8u67ZTUfaBqFdeukJrDVCkOGwN//HppdffnyBbzwwqWHUlDk5u4kKakll1/+HCkp0THUJyYaR3AsSUqCkpI8HA4H0KGWj8BFaakRBMGSkxN8vrVABMEGpdSFQIJSqh9wA/Bd8MOLDA6HOHsD/QFXV3suNv/tt/Ooqqqgd++RQQuCjz+WCbBVKymO7mszVDSxWCzMmZNNRkZ3j9ddzuJ586C8/BYAHA7NMceI8BowoCYq41//kqpfv/8O99wDt94qjl1v2Gzw+ecSpaQ1jB8vPoFQzWGLFs30mIfovffu5YQTLgutUz/07Nkw5juDZz799N88/vi1jB59L3BPrfBRF1arfNfM/ykwCgpCq9EeyLr6euAIwAq8BRQDwWU6izD79gWeenfHDs+FPo46aiIZGVmMHXtRUPfeuFF8AgB//WvshIALb0LARVraAlq16gVYSE7OYurU17npJpnk3ZW8tm3hrrtg5Egxe82aJbua3bHZRAC+8AL85S8iYLQWn8g114T3Y23ovQJt2tQkRDPEhn79jqBFixQsFgly96QRQGRrizRlystDr8oYSNRQOTDTecQN27eLKcKXiSgvz3t5yRtvDD5PTUGBmEG0Fn/AUUcF3UXUKC7OpWXLNiQm1jgo6qZmsFp38d57fyU9PdGj4zU5GW66SSb4zz6T95qbK2aiH36AtWtrrzZ69ICJEyUfUrg05F4B194MQ2wZMeI4XnmlCKWSWLFCJnxP2U1LS2WhYvCO1mICD5VAoob6A7cCvdzba63/L/Tbhk9FhUS7dPeyIPZmEgoVm00mxqIiKZoyeXLk+g6Xm27qz/79v3Hllf/m5JOvOXQ+lNQMFgtcdpmslhcsgDffrH29Rw849lgYNSqy6Zgbcq9A165m12o8kJKSQGKihAS1alWTprou1dVi826oIIzGSHFxbUd7sASizL8D/Bt4CYir8tq7d0u4picn7R9/eP9gFi6cSVbWUI455k+1VtC+WLRIEsG1awfXXx9fIW0tWkjM5+bN39QSBKGaW5QS53dGBsydKxvYRo0SAdC1a+TG7U4kUnoEQnJy/NUTaK64T+ytWjkoK7N4TYVQVmYEgTfs9tBNQi4CEQQ2rfUL4d0memzfDoMH17Z35+Z6K5nlOAAAIABJREFUV5NsNhsffvggAPffv4q+ff3v+Fq9WhzEFovE2sdb3pljj51CaWkeK1a8xYYNX3L22f/gjDNuDNvcMnq0TP4Ntc0/2pXdQExCZsNYfNCiBfzxx4889dQkios/AgZ5ndBKS2XRZ6hPYWH4NRwC+Ul8pJT6q1Kqi1Iq3XWEd9vIUVYmJiIXVVXiIPZGYeFeOnToTWpqm4CEwP794hwFmDrVdyRNLFi+fAEffvggBQV7AU1h4T7eeONmli9fwJQps0hKqh16Gay5pSnlesnIiD8h3pxRCrp06cHBg9ux2eRHXHcvgQtXRlJDbaqqIlOzOhBBcClwGxIyutZ5rPH5CidKqQlKqS1KqW1KqTt8tDtfKaWVUh4LK/tj927xGYBvkxCIU/KZZ7bzyiv+danKSnjqKen76KMl5j7e8OQH0NrBokUzGDt2GldfPZfMzJ4opcjM7MnVV89tsNTN8URCgtkzEI9kZmby6KO/MGqUuBw9hZC6MNFD9QnHQexOIFFDIcVXOGsZPAecAuwGViullmitN9Zp1xq4EVgZyn1kjGIi6tjRf7rVQPv7/ntxlubnS4joX/4Sn6tj736AXUDDmFviFYtFEtylpYkmYGzM8UdSEvToMbjW7mJfgsAUrKmhvDxyWpJXjUApdbvb48l1rj0YQN/HANu01tu11lXAQsBTkdz7gUeAsN5SSYlshvLHd98torLS+46LHTsk1cKcOSIEeveWzVXxmoUyM9Ozvb8hUjTHG8nJUjugVy/xGx19tER4ZWXJvgFD/NGihfz1lmbCHYejRvNv7mgdmUWvC1+moQvcHt9Z55qHbPf16Abscnu+23nuEEqpo4AeWuv/+OpIKTVdKbVGKbWmuDgngFt7ZteuDcyZcwFXXJGGrc63raQEXn4ZZsyQ6KA2bWD6dNk5HM9RJpHwAzR22reXNNdHHgl9+4oGl5ZmVo6NgaQkqKwsY82aVwAoKdE+HZ/hRsc0FUpKPG+U9YY/AerLNKS8PPb0PGiUUhbgCeAyf2211nOBuQCHHTYywHx69dm582cSE5NITm5FonMbrMMhqRLefltUT4tFEsdNmtQ4UuA2VNhlvJGYKKbATp1EEzA0TpKSIDm5Jfv3rwSuIDe3FJvNe3Ihq1Vi5puzhudwuKoUBkZpqaTf94UvQaC9PPb03BN7APdExN2d51y0BgYDXzkT2nUGliilJmqtA3JGB8uYMVMZM2YqlZWya8VqlU1i69bJ9cGDpYhMYytS3lz8AImJkia7UyeJADJhoI2fpCRQSnHOOVezcCFUV6f5tXsXFIiptrnmHwomXLS8XCwc/vxjvj7KYUqpYmT1n+p8jPN5IFnrVwP9lFK9EQFwAXCh66KzBvKhSiRKqa+AW6MlBNxJSUmjtFQybm7ZImaEq66CY44x5oRY06aNmOISEmqOxEQz6TdVXBPU0KEjWbgQSksV+/dDly7eN21qLaljOnVquHHGC9XVgYeLVlRInXCbLQxBoLUOa++s1tqmlLoOWAokAK9orTcope4D1mitl4TTf7DYbFVUVpaTltaO/HwporJrl0QhzJgR336A5kL37vJ/MMK4+eCaoNwL2Ntssn/H12+yokJMHpEoAdtYqKyUFNOBFJuxWkUIBOpHiKpypbX+BPikzrm7vbQ9IZpj+eqrV3n55b+Qnv5/JCR8QU6OpEu4806JNDHEjqQkcfI2Z7tvcyUhoSbMF6CwsIrCwkISEzvSubPvVC75+ZIzKp7SvUSLoqLAo4SsVsmSHExNgmZjZfvtt++BIyksXITDAYcdJpW0YjH5tGhRY+O0WGqbQRISatS/uqX7miLt28v/ornaew2yELDbQSkrWiezceNKjjvubL9agcMhwqAppxN3OCRlTqA1BqqqRBPwlMXVF83m53f88a+xcqUDq9XC0KGSbjnU+ryhkpwsts+OHQOzeWstkUwuoRBsyFg8o5TE+zdHO6+hNhJCKonnSkuhU6djAKk70rkzaG3j00/f5dRT/0RynRCxsjKJ7ovXfT7hYLWKKSjQrKLV1SIEQtlk1ugEQTB1OF2sWwdPPgk2m4XRo6WgTEOuQFNTxQyVmRmc/Vupmp2xXbrIuaoq+WLYbLUfV1eLzTSet+FbLDU/2k6dmuaP1xA8Lj9BenoqpaVgscjqwOUruO++yXz22WIeeOAFpk37S73X5+XJoq4pBRQUF4spKNDi8yDpdULdcNfoBMHevTWrgEBYsmQBb701E9hJSkoWRx45i8TEhgm1TEsT1TaSWROTkrxHAGgtP5ydO4P7AkUDi0XMbq6Jv1WrhtfADI0D1/fZ5ScoKqrGaq0mObkl+/bBmWdOZcuWX0hP78DWrRv4+uv/csEFV9O6tdh17XaZNDMyYvQGIojDIYIt2AWdr4zLgdDoBEF1tSSC+8c//K/qv/xyAQsXTgfEwFZZmc1LL01HKaIad9++vazgG9r/INkc5f6//x6ZrISh0LYt9OljNnoZAqNu5NDs2ZczerTib3+bj80GRx01ic8/P4/ExEQmTRrD2rXf0bNnX049tSZjTUlJ419sBGsKcuEv43IgNDplKiEBfv0VXnvN96pXa3jttZlIpc0aXBW6Io3FIuaO4cOlKHwsI2BSUuCII8QG709dTk6OXGrmxERx/A4caISAIXBc+YZcGoHd3obc3J1o5w/8wAELSsmq76yzLuC88y6hY8cu9frJyWm8uYgKC8UnEkqVMX8ZlwOh0WkEnTrJP/yLL8TufsYZntstXQpVVdEviJ6UJA6tjh3jL/Klc2eZ5LdvF5sjyATdpk3N4ZqwKyvFpBSqepmZKWmeXT9qgyFQ6moEp532Ly65JANnxgGqq+HAAfm9X3bZ9V77sdulXevWohU3Bp+BzSZmnVCziObkRCb5XJxNXf5JSZGU0HPmwBtvyGRXt4j81q1yDbKA6BVE79FDvpzxvAEqJUUycBYVyWNvK/WUFOjfXxzOO3fWCA5/JCdLhlZT8MUQKnV9BEp1qDeJuyKIApncS0pEM8jMjG9TUXm5CIFQQ8QjYRJy0QhkZn2OO06SwmktuYLcEyoVFYkPwW6HYcOil5mzV6/GtQu2bdvAzDVpaSI4Dj/cc4H35GTpq1MnEQBDhxohYAiPuoLAWwH7/fvlsc1mY82aFaxfv8prn66Io/z82AdO1KW6WgTAwYPh7RPavj20KEpPNDqNwMV558kqYcUKeOwxuP9+MXU884yoSgMGwIQJXfjpp3ISE5Ox26silpmzTx8xBTVl2rWTCd/1Q0pNldVVc9jFaWhYlBKTontNAk+4tIIPPpjP7bdfwcknT+TFFz/02XdxcY12EEu/lfueoGA3e3kiJye4DKT+aLSCQCmpF5CTI6agxx+XyX/jRpnAbrgBXn75SQAyMrrz1FPbInLfww5r2jsZ3VGqaYTkGeKfpKQajcBbtFt1tQiDsWNPoVevfvTrNyigvl2vS00VYZOa2nCavKumcFlZ5LIEWK3Bm4Ry/JRxabSCAOTLc/PNcNddEi75++9iQ7zhBkkmd8stH/Ltt/Np2zYyy/e+fU1eIoMhGgSiEYAkihw0qDtffrk16HtUVMiRkCBCp3Xr6AR4WK1yn/Ly4PL9BEqwJqFdu+CRR3y3adSCAGT1f9ttcM898uFfcIHYuAEsFgvjx18akfv062dWxwZDtHDXCHwJAhALwODBoTuC7XbxJRYViXaQlhae2dNVQtN1RMpuXxetYc+e4Kq0bdwo1hJ/uYoavSAAid65/37YvVtqCgAUFR2MiCaglAiB9PSwuzIYDF5ISpINYUqJGcVu9z4x22xSR6RPn3I2b17H0UePDfm+rskb5N6u+hfuh1Iy2Wtd+6/DIWOJhM3fH+Xlogn4E5LurFwJzz0nprHRo+H77723bRKCACSCx5WpcOvW77nnnuPo0qU/s2dvwhJiQHGbNiJkWnuvnGcwGCJAcnJNLipXzixfmzJLSqo57rhulJUVsXr1ATIywnfcaV2TuytecGkBe/YEF/20dCnMmyevOeUUuPZaCbDxRpMRBO589ZUUwq6qqgxJCKSliQBo2zbSIzM0JVwrRtfq0G6Pv1DFxoL77uLSUnGw+hIEiYkt6NNnFJWVuRw8uC8igiDeKC0VLSDQFNQg379Fi+BDZzDVlClwzjn+zV5NUhBMn/4i48ZdTHV1cDpbaqoIAGMGMvjCtTvbU+JDd7OBSyi4IlTc/9pssup1mUGaO+67i/fvD8wEctttH5GY2KLJ+e4cDnHw7tsX3OtsNvj/7Z15nFTVte+/q6q6em66aRAaZBRwQpwjuQ5oHCImcfpcE9E4X3kmavQGkmhIHHC4xhCN94o34pAXjV7wifc9xNnEqJgbJ0REwQRRRESgW6Zu6G66e70/1jld1W1VjzWd7v39fM6nTp1z6tSvTp2z195rr732fffBK69Y6+rSS+HYY7v22T5pCAD23feYLh+bn28GwEUEOTqiuLhtWo5E+H7mzmpg4bCdZ+BA81HX1VnNr69PRJSMRFNWdkYkYs2INWuss7cvzHC3davlDupuv0Njo6XaX7bM7qurroKDD+765/ucIVi/fiXDh+/b5ePLy60z2A2UciTCn0axrCx9uaQKC21RNWOwa1fM1RTvdurL+J2yviH44AM47LCufba29kuWLhUmT67I6ZQSHdHYaBkSamq6/1lVawksW2bX76c/tVD37tCnDMEnnyzj2msPprR0MPfc8xmRSJLE/R5DhliqiKCkiXCkD390azQae41GM1tBELFWR7K5Nvwolfp6Mxb19X2rTyIahSlT4NVX4ZlnLIXJ0Ud3/JmFC2ezcOENTJv2KwYM+EngWvaqlihv3bqeG/snn4QlS6wlMGuWJX/sLn3KELzxxkIAwuFIp0Zg1KjYrF+O/olf8JaWBiNtdigUM1BlZVaI+IOXdu1Kz+ClTJKfbynML7gAfv97mDfPKmsTJiT/zNCh4wmFImzfvpmGBli92iavGjky93Ng1daaG6g3swouXQrz59v65Zf3zAhAmg2BiJwM3AWEgftV9bZ2+y8DLgeagVpguqp+0N3vWbLkERYsmEV19adUVAzjuOMuSXpsKGTNJtch3H+JRKzwLy0NRqriZIiYb7ygwNIux3dQJ6Kx0ZaGBlvS5W7y+z/CYYth3727a9/lRw6ddJKNCXrhBRsMdfPNydO6HH746Rx66JcUFJS0btu5E1atyt3w7x07LOXDpk29O8+6dXD33fafn3UWHH54z8+VNkMgImFgLnAi8BnwpogsalfQP6qqv/OOPxW4Azi5O9+zZMkj3HffdBobLcZqy5bPWbz4N1RV7f2V5HJ5eZaPqKQk0ZkcfR0/10xfnSu5M6Pm90X4NDebQWhstMJExM4RCsXWRWzf7t2xGHt/8Tu2o1Er+PPzzSgl6ktpaYkZhaYmqw23j9ePn4L1/PMtambFCksqeeONibPhRqMJNnps3w7vv29GcsSI7P7vtbWWwLGmJjUD0HbsgDlzrCU4eTKccUbvzpfOFsHXgNWqugZAROYDpwGthkBV47PeFwPd9nguWDCr1Qj4+LOQxRuCwkJLrRwEF4CjZ4RCbUeGxq/n5bmAgPaEw1Y4dqWATFQI+4agK62qUChmLMCMUPvIoHhDEIlY5Mt111nNd+5cyyvW0XfV19e2aRn4bNliS0mJGYXKyszMU1BXZwV/qgp/n6YmuOsua1GMGWPzs/S2nzOdhmA4sC7u/WfAEe0PEpHLgR8DUeAbiU4kItOB6QCDBrWdVKa6uvNZyAoLberGXJtBzNE5fihmosUv+P1X1+mfWXrjVosm6MJrP7tdSYnlEfvlL+Htt80Xfs45X/3cpk0fc/vt3wJgzpzknuXaWlvWrbMyobLSDEOyzvnuEJ9mevt2e03XCOWHH7aWzoABMGNG28rte++9yMsv/55p035FZeWeXT5n1otGVZ0LzBWRc4BfAF/JEqeq84B5AHvtdVibVsOgQSOprk4+C1l+vrUEnBHIbXx/d2Gh/WeRSMw14eh7JDIEibZVVcHVV8Ntt1l0zPDhFlkUz8CBe/Lll58BFkpaUtJ5B+CuXdYP8dlndr8VFbWNGvOXaDSWa6i5OTZ63F9vbLSCv7Y2MyG+L74Izz9vz8eMGWbMtm7dSHn5EFSV+fOvZc2atxgx4gBOO+2aLp83ncXjemBE3Ps9vW3JmA/8Z2cn9bME+hf9e9+7pU0fAcRmIYtEctMd5Lsq4mu08etgtYnm5pg/1l/vS+GCkYgV/EVF9r+6Qr//kGhu62TP6cSJcOGF8MADFi9fUWEz4/lEInnceOP/UFU1oXWQWXfwO89zmfp6ePppeOIJe3/ppTb+aenSxdx113e59NL7OOqoc7n66v/D4sVzmDr16tbPbt36BYWFQzo8fzoNwZvAeBEZgxmAs4E2DTsRGa+q//Defgv4B50QDtuNsWoVbNu2s7UfYMGCWdTUfNo6C9kxx5ybdLrFTBMOx6I7Cgp6N8G7P8AofqBRfCbEXbtyK2kW2O/Py2ub0TE/3010358Jhew+iL9XO7ofTjjBEq89+6zl1r/4Yjj++Nj+ESP2b12vrv6UgQP37HGyyVyiqQleegkWLoylnz7tNDjGS5zw4Yev0di4iy++sIm3Bg8ezUUX3R33+UZuvPEYBg0a1uH3pM0QqGqTiFwBPIeFjz6oqu+LyGzgLVVdBFwhIicAu4EtJHALJaKwEHbv/h8uueRojjvuX7j44nvadAyLZD86yI/QKChI3OTtKX7roSMaGiyEbudOi9LINNGoRef4ESSupu9IRF5eW0OQyDjEc955dm8tWgT332/jBc49t+3zUF9fx003HUt5eRX/+q9PUF7ecU04V1G1NNILFsTmah43DqZNi823AjBt2r+x337HMmnSSQnPs379SmprvyQc7rjQSKvnXFWfBp5ut+26uPWrenru3/52Fi0tzbzzziLgnjb7xo3LTuZQf3KN4uLsRqj40RkVFebD3LnTmpbQNjTQXxcxg9HQ0HPD4acQLinJPVecIzeJRmNzAcRvS2YIQiErCIcONTfR009bIXnllbEooI0bV9PYWE9Dw84u9RXkGkuXLmb+/OfJy7uLNWusBlVVZVlEv/Y1e1br62sJhSJEo/ajDzzwm0nPN2rUgdx55z9obl7PZZcdkPQ40YA5nSdNOkwXLXqLlpYWZs26jIsuuoqysv1b5/AcM8ZGI2aKSCSWFiCVNf9s0dISG3TkD0DyByr5Szz5+THj1wda4o4MUlsL1dVtt61c2bUZuD74AO64wyJ1Ro2y6CI/C2lt7RZqa2sYOtQS7jQ27mLjxo8YMWJiin9Bann55b9z772fonoCYCOjzzyzhebmeUyefAbl5UNoaWlmzpzTqKvbwowZ/5eyss7Tb++xh1WOR42St1U1YQanwBkCEdHhw0cxc+YtnH56zB20bZvdFMM6doWljHDYbry+OjipI/xbRtUV/o6e09ho7p14Pvqo84nWfTZsgNtvt1ZBeTnMnAl77fXV4x599GcsXjyH6657mX32sdnM/vzn+5k//1qOO+4Spk277asfyiAffQSPP25J4wDC4V2ceWYBp5wirF79J2655QSGDh3HHXf8nZqaddxww1E0NNQxe/bfqKoan/S8oRCMHWu5lyIRGDEiuSEIZFDl+vVr+fnPpwO0GoMBAzLnDiotNbdLfy0E2+fXdzh6Ql5ebOSyT3fcilVVNkXtnXdaC2H2bOtInTIl1jpQVRobd6Haws6dsaZGc3MTO3ZUU1e3tXVb+5ZEuvn4YzMAS5fa+4ICOPlkZerUfMrK7OEqLCzjkEO+w7hxRyAiDBo0kptuep2amnUdGoGiIosq6mqwTCBbBP768OGjWLLkk4x9d15e5kYlOhz9gfXr2/ZLbdxoBWR3aGqCBx+06Bow43LAATYpy6GHmst206aPKSoqp6SkArBO5YaGOgoKSsjPL6KpaTe33XYya9cu4yc/WcyECV9PzQ9sR0ODub9eegneeMO2hUINTJ0a5tRTIymZU2GPPSyrcnxFtU+2CHw+/zzxqOJUI2IJrMrLXS3Y4Ugl0WhbQ9CTfrZIxOLqJ0+2Avatt2D5cluKi+HII2HKlDFtEtcVFBRTUBAbUtzU1Eh+fjHhcB4VFanzL6vaSObly+Hdd+HDD2O/Ny9PKSx8hO3bZxCJXEJZ2a29+q54V1B3cS2CTsjPt1ZAX+gIdjhyja1bbfGpq4P33uvdOWtr4bXX4OWX27YuBg2ysPJ997WBpsOGta3YtbQ0s3nzWoYMGdu6TVWRbtT+mpqslbNmjRX6y5dbniMfESusDzzQxkFs2/YOjz02iyuvnE9RUc+bA/7g2WQh8521CAJrCAoLi7j11nltOoxTSWGh9Tk4N5DDkT527mybjrmxMeYzTwVr15pBeO01SwURT1mZFZ777GOpK/zw5+Ji87H/9a+PsHTpk1x22e/bZDn1s7E2NlrH9scfx5ZPP/1qCHZ5uY2EnjQJJkyoo6lpPXvsMZZwODUOmWjUjFtH/QF90hAkihpKzblj89K6FoDDkX6amizfTzyvv576VCotLfY9q1bZsnJl25ZIe0QU1a1ADRUVgwmHB7QJqe5I39ChMGxYHY2NrxCNvsb06VczYID5ax544Ie8+upDzJy5iIkTE+bY7Bb5+TbArLNO9j7XR3DAAYeyaNFbKT1nKGSRQGVlLlWxw5FJ/JHn8QVrNJr63D+hkM1aNnKkTXzjTxG5cqW5cGpqzC1VW2uvO3cKUAFUtHHt+PgJ6crKrGN27FgbwzR6tFUm6+uV2bN/wYoVS6mpOaPVEAwZMpby8qG88MI97LPPUZ3OpNgRhYXWEkhFpTVwLQJ/QFmqKCiw2Y+cAXA4ssOGDW0L/hUrrEDOJs3N5rbys4rm50NT01aam7cxbNiopKHj8X0KGzb8nZUrX+GQQ76T8lQXxcXm0upqvq4+1yJIJaWlNmWliwRyOLJHXl5bQ5ALbtlwODadKVi46a23nkJ19VpmzXqR4cP3bXN8S0sL8+dfSygU5uyzLfqnqmoCVVUdTLjcQ8rKrNM7lZXXfmkIRMwA5Npcpg5Hf6R9wT9qlLk9Nm82f3wu0NLSTCQSJRyOJJwFbe3aZTz11G8QEaZMuTAtBgDMezFmTOoHs/Y7QxAO24ALlxjN4cgN2rs38vNtjuE997TUMZs2WQhmNr3YRUVlXHPNM2zbtpHKyhFf2T9mzCFMn34/FRXDUm4EIhHLn5bOcqtfGYL8fLuYrj/A4cgdkrmCRCz0srzcQjKrq80otM9Ymimi0UIGDx7d+v6JJ24iHM5rnQlsypQLU/p9xcUWgVRZmf50Nv3GEJSU2AV1/QEOR27hz0Hd0VSPeXmWW6iqCr780gZt1dVlTmN7PvlkGY8/fgMDBw7n6KPPZ+DA1I1Grqy0FkAq0k10lX5hCPxahcPhyE3y8ro+5+/AgbZs2WIGIRsRRqNGHch5593B559/mLDPoLv43orBg7PTWd7nDUFlpesUdjhynWg0NnlSV6mosGXrVjMIO3akR1siRISpU3s8r1YrAwda7T8bE2nF02cNgYhZ1/44X4DDETR6M3+13+Lfvt2MQm2tGYVcHCIVDpubuqwsc7X/cNgMZkcEzhBEo2ZFt2/veEq7IUNcZJDDERRSUSCWlcX86qpmEHyjUFubnVDUoiIr+EtL7bWr8wOkCj9rcmedzYEzBGA/rrTUOou2bWub5MkPtepNDcPhcGSWVD+vIrEBYVVVtm33bos48hd/Lu/eGggRy1BQWGhL/Hq2IhS7mzU5kIYA7OKXlNjiGwQwI+DCQx2OYBEKWSUuWSs/FeTl2dI+GqepyZbmZltaWmKv/nzd4bCVOaFQbBGx8+Xn5040ou8GSpaOOhmBNQTx+JPHq+bOH+JwOLpHNJpeQ5CMSMSWoNObKXT7wM+P4YyAwxFcnDu3Z0QiNulOb+ZO6VOGwOFwBJdcSDYXNHrTCogncGmoRWQzsDbbOuIYBFRnW0QXCIpOcFrTRVC0BkUnBEvr3qqacFRV4FoEqjq486Myh4i8lSzHdy4RFJ3gtKaLoGgNik4IntZk+9KcysjhcDgcuY4zBA6Hw9HPcYag98zLtoAuEhSd4LSmi6BoDYpO6CNaA9dZ7HA4HI7U4loEjqwi4kZ/OBypprvPlTMEnSAiORWllAwRGZJtDV1FRPYWkakAmuNNUhEZJSIjs62jK4hIL4YUZRYR6SQfZm4gIpXZ1tBVvOfqNOj+c+UMQRJEpEhE7gQWi8g1IvINb3tOZTISkRIR+S3wjIjcKyJnZltTMjytvwH+C8jp4UMiUuj9/88AfxCRH3jbc+6ZEZFiEZkHXO8XXLna0vKeq7nAsyJypYgc7G3Pqesad68uEpFrRWRytjUlQ0QiInI38ARQKSLdfrZy6uLnGLOAcuBk4D3gYRHJV9UuzqOUfkRkOPAwIMApwMvA7VkVlQQRKcNu1KNU9RBV/X/Z1tQJPwKGqep+wA3A1QCq2pJNUe3xWgGzgaOAUuA4yOmW1o+BSuACoAC4F3LruorIocCT3tsfAGXAd7OnqFMOA4ao6v6q+qCqdjufqjMEcYhIifdaBAwF5qrqFlV9CqgHfu3tz5XrVg/cr6pXqeoXwGPAMhGZlGVdiajHjNb7ACJypIicJCLjvfc5cU1FJOxpEWC5t3kY8JSI7JM9ZW3x7lGABuA/gWOAfwCHishe3jE50SrwXVYiEsFago+q6ipV/TWw2Wt5Zf0eEBF/toAvgCtUdYaqLsc0L82esq/Szg1YAdR4208WkdNEZH/vfZeuaU48fNlGRMaJyGOYC+DbqroTaATOEZEBno94CXCGiIxW1ZZsPGSeD/B3/g2rqjXAX+IOGQGMBT7MtLb2JNDaCPwZUBH5ArgVOBF4WUT2z9Y1ba9VVZu92unnwEgReRX4FbADeFFETsxmASs2BpcaAAAJ70lEQVQi40XkIWCeiJwKlKrqalWtBl7Catk50SoQkQki8gjwHyJymKo2ASXA1+MOuww4T0T2zFarIE7nv4vIYUCNqr4vIuUichfWGjhJRO7Jdl9c+2vquarLgFrPfXk9cAjwJxGZ2NXnqt+Hj3oWcxHwBvAu5mLZiLlYfgfkAROxG/YMYKeq/iILOo8C7sCagb9U1VtEROIfdhHZG/g3Vc1qP0Eird72EFZIHayqc7xts4GvqerJOai1FLgP+JGqfiEilwPfUtVTsqT1POBa4D+wlsDXgVdV9aG4Yy4F9gP+qKpvZ0Onp6MQeBrrY9mFFU5LgMXAKmC8Z7zw+ri2qer1OaDzQGCVqs7x7oEpqvqSVwO/DShQ1csyrTOJ1oOxcutR7NquAC5X1S0iciP2XE3tyrkDl2soDVQBW4FbVLVZLB/HfwN/UdXvi8hE4AtVrfY6jNaBNbszXOOqAS7GXCzPisgfVbV98r2DgY88fZcCr3tN20zTXusjqvqJVzt5TVX/FHfsw8BEESlQ1W5OX54+rYBitdf1gO+GuR84S0QqvdZYptkI/ExVn4RWw1/krUe8GvdzwBDgCBE5Efirqr6SBa17AXWqerun70jMiP0Jc2XNA/wKy9+B3d5xmX6u2us8CpgplkPoL1grC1WtF5F3gGxGkCW6ptdgLe3fApdjSfC2AHOBg0SkyPNwdEi/dw2p6nqsNnhi3Pu5WBMLVV3hGYGvA6cCm73tGW1KqepKYLWqrgZewDoI2/sAj8eiBhYC52CFW8ZJoPVGaH3IWzWJyD8BDwB/y5IRSKrV+3+/AMYDl4rIhVgh+yawLUtanwee93ztYP/vMG9fk/f6KWbAbgbOBr7MglRUdQUwWkSO8TYtx4zAT7FAjIEicr2IfBf4F6yGm43nqr3Od7GC9YL440TkIGA6XkUrG3RwTX+sqg8C7wDfF5GLsMCMN7tiBPyT94sFGAiUxb0XIOKtXwgsidtXjoU4HoMZy+lYreXcbOhsv465LFYDx7f77DNYZ+w/Z+uadkUrVlD9DFgGfC/HtU4Cfgg8BZydba3tjnsEOLPdtsOBDZm4V73vG4RFrLRqBULe+pWYi8rfdxBm+AcBE4Dzgecz9Fx1V+e9nsZK4I9YBSBT92pPrmkVsAfwTeCh7t6raf9RubAAvwRWAvOBG7xtobj9IawWcHXctj8AE731kbmg03sf9l6vBhZ769O8m+XYXLmmnWiNABMCorUwl+5V/z3mEvpvzA0kXgGQn2Gtv8D8/Y8Dt8VfR299HLAQuMB7X4m1qoYGQOezvk7g2zmutdfXNGN/RjYWoBgL+VzgPTATsGb9aG9/fK3wUOBj4HTg+8DbwP45qDN+fYt33ANYJ1ZQtGakcE2B1vu8AjdhjTxbWr33VVjl5WKsw/AWLGIoE1r9jtPHgMGe3p3AQG9/fCXrJMydcggWffMSmatY9Vbn6EzozIVrmpEfmekFKPdeI8CxeC4gb9t9wMXtjvebXadhPuJXsIFPOaUzbt8Ar9BYDhyZi9fUaU271u8ALV7BcXQmtXrrVXHrx2Ku1P3bHe+73H4A/DtWuUr7dQ2KzlzSmvYfmskFaybdjfkdfwSMi7+A2MCQl4CDEl3cXNcZd0wImOS09mutxcD/ypLWfbztEax2+gnwG6xlMo2Ymy2+Fht2OnNXa5+JGvJCO5/B5g+9GRiOXWCfEBai1oiFBLai3lXNBL3R6aOqLZqBsFCnNT30VquIhFS1TlXvzZLWH0JrpNJSYKyqzsBa0z/29KNxA8Q0zalZgqIzV7X2pXEEW4E7VHU+tGY3PF5E8oHdamMExnrrm8WSs0X9451OpzUoWjWzI3CTaS0AGtQbFObpekpEZmIF2ycZ1BgknTmpNZCGINGgE1VdJSLr4vbtxprbDXGHHQ8UekP098ZCGPu9TqfVae2B1vr4z4jIvljtdi2WnqPf6wyS1sC5hkQkL/7CisTyaHjNZX/faGJJw3wGYekilqjqEWojB/u1TqfVae2l1nyx1BcLgD+r6oXag+yXfU1n0LQGyhCIyBVY4q/ZIvIdMP++xI2ujVsfC7zubTtTRAZgcdejVTWt84wGRafT6rT2VisWXvsccISqznU6g6cVAmIIRGSg10T+JpavpBq4QETGQMxnKiKTNOY/3Q+YICLPAGdhPtZVqrqrv+t0Wp3WFGoNq+qmADxXadcZNK1t0AyESvV2AcJYmgc/hnYs8L/xYmyxuQMeAl7Fcq+MBLZjKZpPdzqdVqc1uFqDojNoWtvoztYXd3IxI8BMYETctpK49RDwNyyVLVjCuB+2O8dFTqfT6rQGT2tQdAZNa4e/I9sCElzYA7A42o3AfyU5Zl/g6ST7ok6n0+q0BlNrUHQGTWtnSy72EVRjQ6f3wVKungQgNoWg3+tehZcOWkSOEJHjvHXRNPeuB1Cn0+q0BklrUHQGTWuH5JwhUNUNwAJV3YL51n7ubW/Ght6DzSIUFZFfA3fGfTZjI4SDotNpdVqDpDUoOoOmtTNyzhAAaKy3/CGgXkR+5G335988BvgG8KWq/pOqvuR0dozTmh6c1v6r09MUGK0dkm3fVGcLFob1urc+yXs9lbjOmVxYgqLTaXVag6Q1KDqDpvUr2rMtoIsX+Flssu6ngUHZ1hN0nU6r0xokrUHRGTSt8UtOuoZ8RCQkIjdjPe9XqOopGpeQKVcIik5wWtOF05p6gqITgqU1Ef6gh5xFRKZi+TYaOj04iwRFJzit6cJpTT1B0QnB0tqenDcEDofD4UgvOe0acjgcDkf6cYbA4XA4+jnOEDgcDkc/xxkCh8Ph6Oc4Q+BwOBz9HGcIHI5OEJFmEVkmIu+LyLsiMkPiZppK8pnRInJOpjQ6HL3BGQKHo3N2qepBqro/lk9+KnB9J58ZDThD4AgEbhyBw9EJIlKrqiVx78cCb2ITzI8CHgaKvd1XqOpfReRv2CjTj4E/YOmKbwOOBfKBuap6b8Z+hMPRAc4QOByd0N4QeNu2AnsDO4AWVa0XkfHYBCWHicixwExV/bZ3/HRgD1W9WUTygdeAs1T144z+GIcjAZFsC3A4Ak4ecLeIHAQ0AxOSHHcSMElE/tl7PwAYj7UYHI6s4gyBw9FNPNdQM7AJ6yvYiE1AEgLqk30MuFJVn8uISIejG7jOYoejG4jIYOB3wN1qftUBwAZVbQHOA8LeoTuA0riPPgf8QETyvPNMEJFiHI4cwLUIHI7OKRSRZZgbqAnrHL7D23cPsFBEzsdy0dd525cDzSLyLjaN4V1YJNFSb+aqzcDpmfoBDkdHuM5ih8Ph6Oc415DD4XD0c5whcDgcjn6OMwQOh8PRz3GGwOFwOPo5zhA4HA5HP8cZAofD4ejnOEPgcDgc/RxnCBwOh6Of8/8BMkqnkKxHTS0AAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "step val 19835, {'val_loss': '-0.4365706145763397', 'val/kl': '3.043319566131686e-06', 'val/mse': '0.004450540523976088', 'val/std': '0.03276505321264267'}\n", + "Epoch 8: reducing learning rate of group 0 to 1.0000e-06.\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(FloatProgress(value=0.0, description='Validating', layout=Layout(flex='2'), max=121.0, style=Pr…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "step val 24243, {'val_loss': '-0.44844329357147217', 'val/kl': '3.034672090507229e-06', 'val/mse': '0.004439045209437609', 'val/std': '0.032839469611644745'}\n", + "Epoch 10: reducing learning rate of group 0 to 1.0000e-07.\n" + ] + } + ], + "source": [ + "trainer, model, params, r = try_manual({\n", + " 'det_enc_cross_attn_type': 'ptmultihead',\n", + " 'det_enc_self_attn_type': 'ptmultihead',\n", + " 'latent_enc_self_attn_type': 'ptmultihead',\n", + " 'use_deterministic_path': True,\n", + " 'use_rnn': False,\n", + " 'use_lvar': True,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_de': True,\n", + " 'use_lstm_d': True,\n", + " 'hidden_dim': 64,\n", + " 'learning_rate': 1e-3,\n", + " 'latent_dim': 8,\n", + " 'n_decoder_layers': 4,\n", + " 'n_det_encoder_layers': 4,\n", + " 'n_latent_encoder_layers': 4,\n", + "}, name='anp-lstm6')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({\n", + " 'latent_enc_self_attn_type': 'ptmultihead',\n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': False,\n", + " 'use_lvar': True,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_de': True,\n", + " 'use_lstm_d': True,\n", + " 'hidden_dim': 128,\n", + " 'latent_dim': 16,\n", + " 'n_decoder_layers': 2,\n", + " 'n_det_encoder_layers': 2,\n", + "}, name='anp-lstm5')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'det_enc_cross_attn_type': 'ptmultihead',\n", + " 'det_enc_self_attn_type': 'ptmultihead',\n", + " 'latent_enc_self_attn_type': 'ptmultihead',\n", + " 'use_deterministic_path': True,\n", + " 'learning_rate': 1e-4,\n", + " 'use_rnn': True,\n", + " 'use_lvar': True,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_de': True,\n", + " 'use_lstm_d': True,\n", + " 'n_decoder_layers': 2,\n", + " 'n_det_encoder_layers': 2,\n", + "}, name='anp-all')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({\n", + " 'latent_enc_self_attn_type': 'ptmultihead',\n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': False,\n", + " 'use_lvar': True,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_de': True,\n", + " 'use_lstm_d': True,\n", + " 'hidden_dim': 64,\n", + " 'latent_dim': 8,\n", + "}, name='anp-lstm6')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({\n", + " 'latent_enc_self_attn_type': 'ptmultihead',\n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': False,\n", + " 'use_lvar': True,\n", + " 'use_self_attn': True,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_de': True,\n", + " 'use_lstm_d': True,\n", + " 'n_decoder_layers': 2,\n", + " 'n_det_encoder_layers': 2,\n", + "}, name='anp-lstm')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': False,\n", + " 'use_lvar': False,\n", + " 'use_self_attn': False,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_d': True,\n", + " 'n_decoder_layers': 2,\n", + " 'n_det_encoder_layers': 2,\n", + "}, name='anp-lstm2')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': False,\n", + " 'use_lvar': False,\n", + " 'use_self_attn': False,\n", + " 'use_lstm_le': True,\n", + " 'use_lstm_d': True,\n", + " 'n_decoder_layers': 4,\n", + " 'n_det_encoder_layers': 4,\n", + " 'dropout': 0.2,\n", + " 'hidden_dim': 128,\n", + " 'latent_dim': 16,\n", + "}, name='anp-lstmbig')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Train ANP-RNN" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'det_enc_cross_attn_type': 'multihead',\n", + " 'det_enc_self_attn_type': 'uniform',\n", + " 'latent_enc_self_attn_type': 'uniform',\n", + " 'use_deterministic_path': True,\n", + " 'use_rnn': True\n", + "}, name='anp-rnn')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T01:59:59.452759Z", + "start_time": "2020-02-23T01:59:59.300Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-15T07:40:36.819548Z", + "start_time": "2020-02-15T07:40:07.785566Z" + } + }, + "source": [ + "# ANP-RNN 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.800Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'use_deterministic_path': False,\n", + " 'use_rnn': True,\n", + " 'use_lvar': False,\n", + "}, name='anp-rnn3')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-23T01:59:59.454083Z", + "start_time": "2020-02-23T01:59:59.300Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "# # plot lots of metrics\n", + "# loader = model.val_dataloader()[0]\n", + "# for i in range(0, len(loader), 10):\n", + "# plot_from_loader(loader, model, i=i)\n", + "# plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-15T07:00:04.268233Z", + "start_time": "2020-02-15T06:57:58.700Z" + }, + "scrolled": true + }, + "source": [ + "# ANP" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'det_enc_cross_attn_type': 'multihead',\n", + " 'det_enc_self_attn_type': 'multihead',\n", + " 'latent_enc_self_attn_type': 'multihead',\n", + " 'use_deterministic_path': True,\n", + "}, name='anp')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# NP" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + } + }, + "outputs": [], + "source": [ + "trainer, model, params, r = try_manual({ \n", + " 'det_enc_cross_attn_type': 'uniform',\n", + " 'det_enc_self_attn_type': 'uniform',\n", + " 'latent_enc_self_attn_type': 'uniform',\n", + " 'use_deterministic_path': False,\n", + "}, name='np')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-01-27T04:27:28.582523Z", + "start_time": "2020-01-27T04:27:28.445326Z" + } + }, + "source": [ + "# Hyperparam" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + } + }, + "outputs": [], + "source": [ + "def objective(trial):\n", + " \"\"\"Funtion for optuna hyperparam tuning\"\"\"\n", + " # see https://github.com/optuna/optuna/blob/cf6f02d/examples/pytorch_lightning_simple.py\n", + " \n", + " trial = add_sugg(trial)\n", + " \n", + "# print('trial', trial.number, 'params', trial.params)\n", + " \n", + " \n", + " # PyTorch Lightning will try to restore model parameters from previous trials if checkpoint\n", + " # filenames match. Therefore, the filenames for each trial must be made unique.\n", + " model, trainer = main(trial, train=True, optuna=True)\n", + " \n", + " # also report to tensorboard & print\n", + " print('logger.metrics', model.logger.metrics[-1:])\n", + " model.logger.experiment.add_hparams(trial.params, model.logger.metrics[-1])\n", + " \n", + " return model.logger.metrics[-1]['val_loss']\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "import argparse \n", + "\n", + "parser = argparse.ArgumentParser(description='PyTorch Lightning example.')\n", + "parser.add_argument('--pruning', '-p', action='store_true',\n", + " help='Activate the pruning feature. `MedianPruner` stops unpromising '\n", + " 'trials at the early stages of training.')\n", + "args = parser.parse_args(['-p'])\n", + "\n", + "# pruner = optuna.pruners.MedianPruner(n_warmup_steps=1, n_startup_trials=20) if args.pruning else optuna.pruners.NopPruner()\n", + "pruner = optuna.pruners.PercentilePruner(75.0)\n", + "name = 'anp-rnn1'\n", + "study = optuna.create_study(direction='minimize', pruner=pruner, storage=f'sqlite:///optuna_result/{name}.db', study_name=name, load_if_exists=True)\n", + "study.user_attrs = user_attrs\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "study.optimize(objective, n_trials=200, timeout=pd.Timedelta('3d').total_seconds())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-02-16T04:12:26.187191Z", + "start_time": "2020-02-16T04:12:26.081801Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + }, + "scrolled": true + }, + "outputs": [], + "source": [ + "\n", + "print('Number of finished trials: {}'.format(len(study.trials)))\n", + "\n", + "print('Best trial:')\n", + "trial = study.best_trial\n", + "\n", + "print(' Value: {}'.format(trial.value))\n", + "\n", + "print(' Params: ')\n", + "for key, value in trial.params.items():\n", + " print(' {}: {}'.format(key, value))\n", + "\n", + "# shutil.rmtree(MODEL_DIR)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-01-27T07:45:29.794794Z", + "start_time": "2020-01-27T07:45:29.733450Z" + } + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-01-27T07:35:33.470251Z", + "start_time": "2020-01-27T07:34:47.800Z" + } + }, + "source": [ + "## View\n", + "\n", + "TODO" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:13.900Z" + } + }, + "outputs": [], + "source": [ + "df = study.trials_dataframe(attrs=('number', 'value', 'params', 'state'))\n", + "df.sort_values('value')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "start_time": "2020-02-23T05:28:14.000Z" + } + }, + "outputs": [], + "source": [ + "df.sort_values('value').head(17).T" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "file_extension": ".py", + "kernelspec": { + "display_name": "jup3.7.3", + "language": "python", + "name": "jup3.7.3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.3" + }, + "mimetype": "text/x-python", + "name": "python", + "npconvert_exporter": "python", + "pygments_lexer": "ipython3", + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": { + "height": "calc(100% - 180px)", + "left": "10px", + "top": "150px", + "width": "384px" + }, + "toc_section_display": true, + "toc_window_display": true + }, + "version": 3 + }, + "nbformat": 4, + "nbformat_minor": 2 +}