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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "b2d6b6e4-0301-4e09-b4ce-227e5121642a", | |
"metadata": {}, | |
"source": [ | |
"# RNN vs. LSTM" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "a11510a3-82eb-4d45-92e6-2f127ee7897b", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from torch import nn\n", | |
"import torch\n", | |
"import pandas as pd\n", | |
"import xarray as xr\n", | |
"import numpy as np\n", | |
"from pathlib import Path\n", | |
"from typing import Optional, List, Dict\n", | |
"from collections import defaultdict\n", | |
"\n", | |
"from tqdm import tqdm \n", | |
"import matplotlib.pyplot as plt \n", | |
"\n", | |
"from torch.utils.data import DataLoader, Dataset\n", | |
"from sklearn.preprocessing import StandardScaler\n", | |
"from torch import optim\n", | |
"\n", | |
"import matplotlib as mpl\n", | |
"mpl.rcParams['figure.dpi'] = 300\n", | |
"\n", | |
"# SET SEEDS\n", | |
"import random\n", | |
"torch.manual_seed(0)\n", | |
"random.seed(0)\n", | |
"np.random.seed(0)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "5f0b11c4-4232-4058-88e0-a1bc5b0be224", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"data_dir = Path(\"/Users/tommylees/Downloads\")\n", | |
"data_2 = Path(\"/Volumes/Lees_Extend/data/CAMELS/CAMELS_GB_DATASET/Catchment_Timeseries\")\n", | |
"data_3 = Path(\"/Users/tommylees/github/spatio_temporal/data/ALL_dynamic_ds.nc\")\n", | |
"\n", | |
"assert data_dir.exists()\n", | |
"\n", | |
"\n", | |
"STATION1 = 16004\n", | |
"ds = xr.open_dataset(data_3)\n", | |
"df = ds.sel(station_id=STATION1).drop(\"station_id\").to_dataframe()\n", | |
"\n", | |
"# df = pd.read_csv([f for f in data_2.iterdir() if \"16004\" in f.name][0])\n", | |
"# df = df.astype({\"date\": \"datetime64\"}).set_index(\"date\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "75fa5a44-59c5-42d7-bd08-26002fed33fd", | |
"metadata": { | |
"tags": [] | |
}, | |
"source": [ | |
"# functions for models" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "5912709a-33fa-4704-bea4-7c9b5faafa3c", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# Normalize the inputs\n", | |
"def normalize_data(df: pd.DataFrame, normalizer: Optional[StandardScaler]= None) -> StandardScaler:\n", | |
" if normalizer is None:\n", | |
" normalizer = StandardScaler()\n", | |
" norm_df = pd.DataFrame(normalizer.fit_transform(df), index=df.index, columns=df.columns)\n", | |
" else:\n", | |
" norm_df = pd.DataFrame(normalizer.transform(df), index=df.index, columns=df.columns)\n", | |
" \n", | |
" return norm_df, normalizer\n", | |
"\n", | |
"\n", | |
"# pt.Dataset\n", | |
"class dataset(Dataset):\n", | |
" def __init__(self, df: pd.DataFrame, variables: List[str], seq_length: int = 365):\n", | |
" # build dataset & load\n", | |
" self.dataset = {}\n", | |
" self.input_times = {}\n", | |
" for ix in np.arange(df.shape[0]):\n", | |
" try:\n", | |
" dd = te.iloc[ix: seq_length+ix]\n", | |
" if dd.shape[0] == seq_length:\n", | |
" X, y = dd[variables].astype(\"float32\"), dd[target].astype(\"float32\")\n", | |
" X, y = torch.tensor(X.values), torch.tensor(y.values)\n", | |
" self.dataset[ix] = {\"x_d\": X, \"y\": y}\n", | |
" self.input_times[ix] = X.index\n", | |
" except:\n", | |
" pass\n", | |
" \n", | |
" def __getitem__(self, ix) -> Dict[str, torch.Tensor]:\n", | |
" return self.dataset[ix]\n", | |
" \n", | |
" def __len__(self):\n", | |
" return max(self.dataset.keys())\n", | |
" \n", | |
" \n", | |
" \n", | |
"# model\n", | |
"class LSTM(nn.Module):\n", | |
" def __init__(self, input_size: int, hidden_size: int):\n", | |
" super().__init__()\n", | |
" self.lstm = nn.LSTM(\n", | |
" input_size=input_size,\n", | |
" hidden_size=hidden_size,\n", | |
" batch_first=True,\n", | |
" )\n", | |
" self.fc = nn.Linear(in_features=hidden_size, out_features=1)\n", | |
" \n", | |
" def forward(self, data: Dict[str, torch.Tensor]):\n", | |
" # (batch_size, seq_length, )\n", | |
" x_d = data[\"x_d\"]\n", | |
" output, (h_n, c_n) = self.lstm(x_d)\n", | |
" \n", | |
" return self.fc(output)\n", | |
"\n", | |
" \n", | |
"class RNN(nn.Module):\n", | |
" def __init__(self, input_size: int, hidden_size: int):\n", | |
" super().__init__()\n", | |
" self.rnn = nn.RNN(\n", | |
" input_size=input_size,\n", | |
" hidden_size=hidden_size,\n", | |
" batch_first=True,\n", | |
" )\n", | |
" self.fc = nn.Linear(in_features=hidden_size, out_features=1)\n", | |
"\n", | |
" def forward(self, data: Dict[str, torch.Tensor]):\n", | |
" # (batch_size, seq_length, )\n", | |
" x_d = data[\"x_d\"]\n", | |
" output, h_n = self.rnn(x_d)\n", | |
" \n", | |
" return self.fc(output)\n", | |
"\n", | |
" \n", | |
"\n", | |
"# train/test\n", | |
"def test_model(model: nn.Module, dl: DataLoader) -> pd.DataFrame:\n", | |
" out = defaultdict(list)\n", | |
" model.eval()\n", | |
" for d in tqdm(dl, desc=\"Evaluating Model\"):\n", | |
" y_hat = model(d)\n", | |
" y = d[\"y\"]\n", | |
" # loss = loss_fn(y_hat.squeeze()[-1], y.squeeze()[-1])\n", | |
" out[\"y\"].append(y.squeeze()[-1].detach().numpy())\n", | |
" out[\"y_hat\"].append(y_hat.squeeze()[-1].detach().numpy())\n", | |
"\n", | |
" return pd.DataFrame(out)\n", | |
"\n", | |
"\n", | |
"def train_model(model: nn.Module, dl: DataLoader, optimizer: optim.Adam, loss_fn: nn.Module, epochs: int = 15):\n", | |
" model.train()\n", | |
"\n", | |
" epoch_losses = []\n", | |
" pbar = tqdm(range(epochs))\n", | |
" for epoch in pbar:\n", | |
" losses = []\n", | |
" for smp in dl:\n", | |
" # reset gradients to zero\n", | |
" optimizer.zero_grad()\n", | |
"\n", | |
" y = smp[\"y\"]\n", | |
" y_hat = model(smp)\n", | |
" loss = loss_fn(y_hat[:, :, -1], y[:, :, -1])\n", | |
"\n", | |
" # autodiff = gradient wrt loss\n", | |
" loss.backward()\n", | |
" optimizer.step()\n", | |
"\n", | |
" # save the losses\n", | |
" losses.append(loss.detach().numpy())\n", | |
"\n", | |
" epoch_loss = np.mean(losses)\n", | |
" epoch_losses.append(epoch_loss)\n", | |
" pbar.set_postfix_str(epoch_loss)\n", | |
" return epoch_losses\n", | |
"\n", | |
"\n", | |
"def _generate_dynamic_path_input(\n", | |
" baseline: torch.Tensor, x_d: torch.Tensor, m: int\n", | |
"):\n", | |
" x_tilde = torch.zeros((m, x_d.shape[1], x_d.shape[-1]))\n", | |
"\n", | |
" for k in range(m):\n", | |
" # update the x_tilde moving it towards the baseline\n", | |
" x_tilde[k, :, :] = baseline + k / (m - 1) * (x_d - baseline)\n", | |
"\n", | |
" x_tilde = torch.autograd.Variable(x_tilde, requires_grad=True)\n", | |
" return x_tilde\n", | |
"\n", | |
"\n", | |
"def _create_baseline(normalizer: StandardScaler, seq_length: int) -> torch.Tensor:\n", | |
" baseline = torch.ones(seq_length, 1) * (-normalizer.mean_[:-1] / normalizer.var_[:-1])\n", | |
" return baseline\n", | |
"\n", | |
"\n", | |
"\n", | |
"def calculate_ig(\n", | |
" dd: Dataset,\n", | |
" model: nn.Module,\n", | |
" normalizer: StandardScaler,\n", | |
" m: int = 100,\n", | |
"):\n", | |
" seq_length = dd[0][\"x_d\"].shape[0]\n", | |
" n_features = dd[0][\"x_d\"].shape[1]\n", | |
"\n", | |
" # iterate over EACH timestep\n", | |
" all_dl = DataLoader(dd, batch_size=1)\n", | |
"\n", | |
" # all_gradients = [n_timesteps, seq_length, n_features]\n", | |
" all_gradients = np.full(shape=(len(all_dl), seq_length, n_features), fill_value=np.nan)\n", | |
" \n", | |
" # create the baseline input as the start of IG path\n", | |
" baseline = _create_baseline(normalizer, seq_length)\n", | |
"\n", | |
" # igrad = [seq_length, n_features]\n", | |
" for ix, data_dict in enumerate(tqdm(all_dl, desc=\"Calculating IG\")):\n", | |
" # zero gradients\n", | |
" model.zero_grad()\n", | |
"\n", | |
" x_d = data_dict[\"x_d\"]\n", | |
" original_input_data = x_d.squeeze()\n", | |
"\n", | |
" assert baseline.size() == original_input_data.size(), \"Tensor sizes don't match\"\n", | |
"\n", | |
" # generate path input\n", | |
" x_tilde = _generate_dynamic_path_input(baseline, x_d, m=m)\n", | |
"\n", | |
" # update_data_dict_for_input_to_model\n", | |
" data_dict[\"x_d\"] = x_tilde\n", | |
"\n", | |
" # run forward pass\n", | |
" y_hat = model(data_dict)\n", | |
"\n", | |
" # calculate gradients w.r.t. inputs \n", | |
" y_hat[:, -1, :].backward(y_hat.new_ones(m, 1))\n", | |
"\n", | |
" # from these gradients calculate the mean gradient along the x_tilde dimension 0\n", | |
" # mean gradient (over all m gradients) * distance of baseline from input\n", | |
" igrad = (1/m) * x_tilde.grad.sum(dim=0) * (original_input_data - baseline)\n", | |
"\n", | |
" # how different is the baseline prediction to the input data\n", | |
" # a proxy for quality \n", | |
" quality = (y_hat[0, -1].squeeze() - y_hat[-1, -1].squeeze())\n", | |
"\n", | |
" all_gradients[ix, :, :] = igrad\n", | |
" \n", | |
" return all_gradients\n", | |
"\n", | |
"\n", | |
"def all_gradients_to_xarray(all_gradients: np.ndarray, dd: Dataset, variables: List[str], var_name: str = \"igrad\"):\n", | |
" ig = xr.Dataset(\n", | |
" {var_name: ((\"time\", \"input_time\", \"variable\"), all_gradients)},\n", | |
" coords={\n", | |
" \"time\": [dd.input_times[ix][-1] for ix in np.arange(len(dd))], \n", | |
" \"variable\": variables, \n", | |
" \"input_time\": np.arange(365)[::-1]\n", | |
" }\n", | |
" )\n", | |
" return ig\n" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "e00b4148-edb5-42b1-8fa2-067c0a4b6e18", | |
"metadata": {}, | |
"source": [ | |
"# RNN vs. LSTM" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "05d590a3-4c4c-42c6-b9f1-8070dbd5aab3", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
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" }\n", | |
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" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>precipitation</th>\n", | |
" <th>pet</th>\n", | |
" <th>temperature</th>\n", | |
" <th>discharge_spec</th>\n", | |
" <th>discharge_vol</th>\n", | |
" <th>peti</th>\n", | |
" <th>humidity</th>\n", | |
" <th>shortwave_rad</th>\n", | |
" <th>longwave_rad</th>\n", | |
" <th>windspeed</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>time</th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>1970-10-01</th>\n", | |
" <td>14.53</td>\n", | |
" <td>1.40</td>\n", | |
" <td>9.80</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1.69</td>\n", | |
" <td>6.01</td>\n", | |
" <td>55.74</td>\n", | |
" <td>335.51</td>\n", | |
" <td>8.02</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1970-10-02</th>\n", | |
" <td>0.32</td>\n", | |
" <td>1.36</td>\n", | |
" <td>7.39</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1.60</td>\n", | |
" <td>5.15</td>\n", | |
" <td>91.45</td>\n", | |
" <td>299.80</td>\n", | |
" <td>9.79</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1970-10-03</th>\n", | |
" <td>4.99</td>\n", | |
" <td>1.40</td>\n", | |
" <td>8.86</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1.63</td>\n", | |
" <td>5.15</td>\n", | |
" <td>72.77</td>\n", | |
" <td>316.45</td>\n", | |
" <td>5.35</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1970-10-04</th>\n", | |
" <td>11.60</td>\n", | |
" <td>0.00</td>\n", | |
" <td>10.01</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>0.27</td>\n", | |
" <td>8.45</td>\n", | |
" <td>46.68</td>\n", | |
" <td>341.77</td>\n", | |
" <td>7.44</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1970-10-05</th>\n", | |
" <td>20.92</td>\n", | |
" <td>1.58</td>\n", | |
" <td>8.98</td>\n", | |
" <td>NaN</td>\n", | |
" <td>NaN</td>\n", | |
" <td>1.88</td>\n", | |
" <td>5.44</td>\n", | |
" <td>98.34</td>\n", | |
" <td>298.83</td>\n", | |
" <td>8.38</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" precipitation pet temperature discharge_spec discharge_vol \\\n", | |
"time \n", | |
"1970-10-01 14.53 1.40 9.80 NaN NaN \n", | |
"1970-10-02 0.32 1.36 7.39 NaN NaN \n", | |
"1970-10-03 4.99 1.40 8.86 NaN NaN \n", | |
"1970-10-04 11.60 0.00 10.01 NaN NaN \n", | |
"1970-10-05 20.92 1.58 8.98 NaN NaN \n", | |
"\n", | |
" peti humidity shortwave_rad longwave_rad windspeed \n", | |
"time \n", | |
"1970-10-01 1.69 6.01 55.74 335.51 8.02 \n", | |
"1970-10-02 1.60 5.15 91.45 299.80 9.79 \n", | |
"1970-10-03 1.63 5.15 72.77 316.45 5.35 \n", | |
"1970-10-04 0.27 8.45 46.68 341.77 7.44 \n", | |
"1970-10-05 1.88 5.44 98.34 298.83 8.38 " | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"df.head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"id": "a3852a50-0983-450e-8194-462ae8ba8e8d", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
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"<style scoped>\n", | |
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"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>precipitation</th>\n", | |
" <th>windspeed</th>\n", | |
" <th>temperature</th>\n", | |
" <th>shortwave_rad</th>\n", | |
" <th>humidity</th>\n", | |
" <th>discharge_spec</th>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>time</th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" <th></th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>2000-01-01</th>\n", | |
" <td>0.071434</td>\n", | |
" <td>0.960411</td>\n", | |
" <td>-0.661703</td>\n", | |
" <td>-1.145402</td>\n", | |
" <td>-0.698478</td>\n", | |
" <td>1.207797</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2000-01-02</th>\n", | |
" <td>1.270130</td>\n", | |
" <td>1.297248</td>\n", | |
" <td>-0.424038</td>\n", | |
" <td>-1.105063</td>\n", | |
" <td>-0.508671</td>\n", | |
" <td>1.518923</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2000-01-03</th>\n", | |
" <td>0.171455</td>\n", | |
" <td>2.431263</td>\n", | |
" <td>-0.721120</td>\n", | |
" <td>-1.144473</td>\n", | |
" <td>-0.911291</td>\n", | |
" <td>1.762693</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2000-01-04</th>\n", | |
" <td>2.892356</td>\n", | |
" <td>1.291634</td>\n", | |
" <td>-1.148038</td>\n", | |
" <td>-1.163050</td>\n", | |
" <td>-1.055083</td>\n", | |
" <td>1.352134</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2000-01-05</th>\n", | |
" <td>4.219205</td>\n", | |
" <td>2.835467</td>\n", | |
" <td>-0.417436</td>\n", | |
" <td>-1.232183</td>\n", | |
" <td>-0.393637</td>\n", | |
" <td>4.861128</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" precipitation windspeed temperature shortwave_rad humidity \\\n", | |
"time \n", | |
"2000-01-01 0.071434 0.960411 -0.661703 -1.145402 -0.698478 \n", | |
"2000-01-02 1.270130 1.297248 -0.424038 -1.105063 -0.508671 \n", | |
"2000-01-03 0.171455 2.431263 -0.721120 -1.144473 -0.911291 \n", | |
"2000-01-04 2.892356 1.291634 -1.148038 -1.163050 -1.055083 \n", | |
"2000-01-05 4.219205 2.835467 -0.417436 -1.232183 -0.393637 \n", | |
"\n", | |
" discharge_spec \n", | |
"time \n", | |
"2000-01-01 1.207797 \n", | |
"2000-01-02 1.518923 \n", | |
"2000-01-03 1.762693 \n", | |
"2000-01-04 1.352134 \n", | |
"2000-01-05 4.861128 " | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"variables = [\"precipitation\", \"windspeed\", \"temperature\", \"shortwave_rad\", \"humidity\"]\n", | |
"target = [\"discharge_spec\"]\n", | |
"test_period = (\"2010\", \"2015\")\n", | |
"train_period = (\"2000\", \"2005\")\n", | |
"val_period = (\"2006\", \"2009\")\n", | |
"\n", | |
"te = df.dropna().loc[test_period[0]: test_period[1], variables + target]\n", | |
"tr = df.dropna().loc[train_period[0]: train_period[1], variables + target]\n", | |
"va = df.dropna().loc[val_period[0]: val_period[1], variables + target]\n", | |
"\n", | |
"# Normalize the inputs\n", | |
"tr, normalizer = normalize_data(tr)\n", | |
"te, normalizer = normalize_data(te, normalizer)\n", | |
"va, normalizer = normalize_data(va, normalizer)\n", | |
"\n", | |
"tr.head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"id": "ec51e00d-db13-4600-9be2-7187c7e4a56a", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"1099" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# create dataset // dataloader\n", | |
"SEQ_LENGTH = 1000\n", | |
"tr_dd = dataset(tr, variables, seq_length=SEQ_LENGTH)\n", | |
"test_dd = dataset(te, variables, seq_length=SEQ_LENGTH)\n", | |
"val_dd = dataset(va, variables, seq_length=SEQ_LENGTH)\n", | |
"\n", | |
"tr_dl = DataLoader(tr_dd, batch_size=500)\n", | |
"te_dl = DataLoader(test_dd, batch_size=1)\n", | |
"va_dl = DataLoader(val_dd, batch_size=1)\n", | |
"\n", | |
"len(tr_dd)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"id": "72c2d806-269f-44e2-9136-603ce483363d", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# initialise models\n", | |
"HIDDEN_SIZE = 12\n", | |
"lstm = LSTM(input_size=len(variables), hidden_size=HIDDEN_SIZE)\n", | |
"rnn = RNN(input_size=len(variables), hidden_size=HIDDEN_SIZE)\n", | |
"\n", | |
"# initialise training auxillary\n", | |
"loss_rate = 0.05\n", | |
"lstm_optimizer = optim.Adam([pam for pam in lstm.parameters()], lr=loss_rate) \n", | |
"rnn_optimizer = optim.Adam([pam for pam in rnn.parameters()], lr=loss_rate) \n", | |
"loss_fn = nn.MSELoss()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"id": "47efa012-8e71-44d7-9987-19ad676230e3", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"100%|███████████████| 30/30 [00:41<00:00, 1.40s/it, 0.07685453]\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"[<matplotlib.lines.Line2D at 0x7fa138dd7b80>]" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
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| |
"text/plain": [ | |
"<Figure size 1800x1200 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"lstm_losses = train_model(\n", | |
" lstm, \n", | |
" tr_dl, \n", | |
" optimizer=lstm_optimizer,\n", | |
" loss_fn=loss_fn,\n", | |
" epochs=30\n", | |
")\n", | |
"plt.plot(lstm_losses)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"id": "4cf0a8ce-3aaf-4578-b1ec-453eadfcdb14", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"100%|███████████████| 30/30 [00:10<00:00, 2.77it/s, 0.19124556]\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"<matplotlib.legend.Legend at 0x7fa158a0f670>" | |
] | |
}, | |
"execution_count": 11, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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| |
"text/plain": [ | |
"<Figure size 1800x1200 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"rnn_losses = train_model(\n", | |
" rnn, \n", | |
" tr_dl, \n", | |
" optimizer=rnn_optimizer,\n", | |
" loss_fn=loss_fn,\n", | |
" epochs=30\n", | |
")\n", | |
"\n", | |
"plt.plot(lstm_losses, label=\"LSTM\")\n", | |
"plt.plot(rnn_losses, label=\"RNN\")\n", | |
"plt.legend()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "ce3f9898-41c3-4ff8-8683-da3b1d199493", | |
"metadata": {}, | |
"source": [ | |
"# compare the exploding gradients from RNN?\n", | |
"- I can't seem to get the gradients to explode, surely that should be a function of the total sequence length?" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"id": "3ebebba3-5323-4da8-94d6-af8055162ce3", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Evaluating Model: 100%|█████| 1099/1099 [00:37<00:00, 29.16it/s]\n", | |
"Evaluating Model: 100%|█████| 1099/1099 [00:13<00:00, 82.11it/s]\n" | |
] | |
} | |
], | |
"source": [ | |
"lstm_test = test_model(lstm, va_dl)\n", | |
"rnn_test = test_model(rnn, va_dl)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"id": "703b8704-efb7-45ae-9fd9-ec4d68588879", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"Text(0.5, 1.0, 'RNN 0.88 -- 0.18\\nLSTM 0.95 -- 0.07')" | |
] | |
}, | |
"execution_count": 13, | |
"metadata": {}, | |
"output_type": "execute_result" | |
}, | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1800x1200 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"from sklearn.metrics import r2_score, mean_squared_error\n", | |
"times = [val_dd.input_times[ix].max() for ix in val_dd.input_times.keys()]\n", | |
"\n", | |
"rnn_r2, rnn_rmse = r2_score(rnn_test[\"y\"], rnn_test[\"y_hat\"]), mean_squared_error(rnn_test[\"y\"], rnn_test[\"y_hat\"])\n", | |
"lstm_r2, lstm_rmse = r2_score(lstm_test[\"y\"], lstm_test[\"y_hat\"]), mean_squared_error(lstm_test[\"y\"], lstm_test[\"y_hat\"])\n", | |
"\n", | |
"rnn_test.astype(float).loc[0:365, \"y_hat\"].plot(label=\"RNN\")\n", | |
"lstm_test.astype(float).loc[0:365, \"y_hat\"].plot(label=\"LSTM\")\n", | |
"rnn_test.astype(float).loc[0:365, \"y\"].plot(label=\"Obs\", color=\"k\", ls=\":\")\n", | |
"plt.gca().legend()\n", | |
"plt.gca().set_title(f\"RNN {rnn_r2:.2f} -- {rnn_rmse:.2f}\\nLSTM {lstm_r2:.2f} -- {lstm_rmse:.2f}\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"id": "f81c47b3-9f51-4998-bbdc-05d991ca8d5f", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Calculating Parameter Gradients: 100%|█| 1099/1099 [01:50<00:00,\n" | |
] | |
} | |
], | |
"source": [ | |
"all_dl = DataLoader(tr_dd, batch_size=1)\n", | |
"\n", | |
"# LSTM\n", | |
"if \"flat_grads\" not in globals().keys():\n", | |
"# if True:\n", | |
" lstm.zero_grad()\n", | |
"\n", | |
" for ix, data_dict in enumerate(tqdm(all_dl, desc=\"Calculating Parameter Gradients\")):\n", | |
" x_d = data_dict[\"x_d\"]\n", | |
" y = data_dict[\"y\"]\n", | |
"\n", | |
" # run forward pass\n", | |
" y_hat = lstm(data_dict)\n", | |
" loss = loss_fn(y.squeeze(), y_hat.squeeze())\n", | |
" loss.backward()\n", | |
" \n", | |
" # get the gradients for all of the parameters\n", | |
" lstm_grads = [pm.grad for pm in lstm.lstm.parameters()]\n", | |
" flat_grads = np.concatenate([p.flatten() for p in lstm_grads])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"id": "79284410-d85f-4600-850b-fe1dc8fa911d", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Calculating Parameter Gradients: 100%|█| 1099/1099 [00:43<00:00,\n" | |
] | |
} | |
], | |
"source": [ | |
"if \"rnn_grads\" not in globals().keys():\n", | |
"# if True:\n", | |
" rnn.zero_grad()\n", | |
"\n", | |
" for ix, data_dict in enumerate(tqdm(all_dl, desc=\"Calculating Parameter Gradients\")):\n", | |
" x_d = data_dict[\"x_d\"]\n", | |
" y = data_dict[\"y\"]\n", | |
"\n", | |
" # run forward pass\n", | |
" y_hat = rnn(data_dict)\n", | |
" loss = loss_fn(y.squeeze(), y_hat.squeeze())\n", | |
" loss.backward()\n", | |
"\n", | |
" # get the gradients for all of the parameters\n", | |
" rnn_grads = [pm.grad for pm in rnn.rnn.parameters()]\n", | |
" flat_rnn_grads = np.concatenate([p.flatten() for p in rnn_grads])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"id": "3106411a-6458-4ad4-8986-4b06fd2dda91", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 1800x1200 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plt.hist(flat_grads, bins=30, edgecolor=\"k\", alpha=0.6, density=True, label=\"LSTM\");\n", | |
"plt.hist(flat_rnn_grads, bins=30, edgecolor=\"k\", alpha=0.6, density=True, label=\"RNN\");\n", | |
"plt.legend();" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "86b022d2-b4f3-414e-ab21-a98c06a04856", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "a70e5658-bca9-4328-8f59-80d726d29c91", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "fc367545-2ee6-4edd-bbc6-a9be0d7587eb", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "8a83e980-4e49-40dd-b07d-b229a9ecad2c", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"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": "3.9.7" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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