qualitative-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add submodule paths\n",
    "import sys\n",
    "import os\n",
    "sys.path += ['./normalizing_flows', './baselines', './climdex']\n",
    "# Optionally disable GPU\n",
    "#os.environ['CUDA_VISIBLE_DEVICES'] = '-1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import utils.data as data_util\n",
    "import utils.nn_util as nn\n",
    "import xarray as xr\n",
    "import gcsfs\n",
    "import shutil\n",
    "import os\n",
    "import climdex.temperature as tdex\n",
    "import climdex.precipitation as pdex\n",
    "import logging\n",
    "import tensorflow_probability as tfp\n",
    "import seaborn as sns\n",
    "import experiments.maxt_experiment_base as maxt\n",
    "import experiments.prcp_experiment_base as prcp\n",
    "import utils.metrics as metrics\n",
    "from experiments.common import upsample\n",
    "from models.glow import build_jflvm\n",
    "from baselines.dscnn import create_bmd_cnn10\n",
    "from tensorflow.keras.models import load_model\n",
    "from normalizing_flows.models import VariationalModel\n",
    "from regions import southeast_us, pacific_nw\n",
    "from datasource import EraiRasDataLoader\n",
    "from utils.data import create_time_series_train_test_generator_v2\n",
    "from utils.plot import image_map_factory, prcp_cmap\n",
    "from utils.preprocessing import remove_monthly_means\n",
    "from utils.distributions import normal, bernoulli_gamma\n",
    "from tqdm import tqdm\n",
    "\n",
    "correlation = metrics.correlation_metric()\n",
    "\n",
    "gcs = gcsfs.GCSFileSystem(project='thesis-research-255223', token='gcs.secret.json')\n",
    "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n",
    "#tf.autograph.set_verbosity(1)\n",
    "#tf.config.experimental_run_functions_eagerly(True)\n",
    "#tf.debugging.set_log_device_placement(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = EraiRasDataLoader(gcs_bucket='erai-rasmussen', gcs_project='thesis-research-255223', auth='gcs.secret.json')\n",
    "# era-interim\n",
    "erai_deg1 = xr.open_zarr(data.erai('daily-1deg'), consolidated=True).clip(min=0.0, max=np.inf)\n",
    "# 1-degree regridded rasmussen\n",
    "ras_deg1 = xr.open_zarr(data.rasmussen('daily-1deg'), consolidated=True).clip(min=0.0, max=np.inf)\n",
    "# 1/2-degree regridded rasmussen\n",
    "ras_deg12 = xr.open_zarr(data.rasmussen('daily-1-2deg'), consolidated=True).clip(min=0.0, max=np.inf)\n",
    "ras_deg14 = xr.open_zarr(data.rasmussen('daily-1-4deg'), consolidated=True).clip(min=0.0, max=np.inf)\n",
    "ras_deg18 = xr.open_zarr(data.rasmussen('daily-1-8deg'), consolidated=True).clip(min=0.0, max=np.inf)\n",
    "ras_deg116 = xr.open_zarr(data.rasmussen('daily-1-16deg'), consolidated=True)\n",
    "def get_train_test_splits(data_lo, data_hi, region_fn, scale, cv=False):\n",
    "    data_lo = region_fn(data_lo)\n",
    "    data_hi = region_fn(data_hi, scale_factor=scale)\n",
    "    if cv:\n",
    "        split_fn = create_time_series_train_test_generator_v2(n_splits=5, test_size=146)\n",
    "        folds = list(split_fn(data_lo, data_hi))\n",
    "        return folds\n",
    "    else:\n",
    "        lr_train = data_lo.isel(Time=slice(0,data_lo.Time.size-2*365))\n",
    "        lr_test = data_lo.isel(Time=slice(data_lo.Time.size-2*365, data_lo.Time.size+1))\n",
    "        hr_train = data_hi.isel(Time=slice(0,data_lo.Time.size-2*365))\n",
    "        hr_test = data_hi.isel(Time=slice(data_lo.Time.size-2*365, data_lo.Time.size+1))\n",
    "        return lr_train, lr_test, hr_train, hr_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def download_jflvm(run_id, dirname, out_dir, fold=0, epoch=50, ckpt_num=10):\n",
    "    os.makedirs(out_dir, exist_ok=True)\n",
    "    filenames = [f'ckpt-{ckpt_num}.index', f'ckpt-{ckpt_num}.data-00000-of-00002', f'ckpt-{ckpt_num}.data-00001-of-00002']\n",
    "    for filename in filenames:\n",
    "        with gcs.open(f'gs://generative-downscaling-artifact-store/glow-jflvm-final/{run_id}/artifacts/model/{dirname}/{filename}') as src:\n",
    "            with open(f'{out_dir}/{filename}', 'wb') as dst:\n",
    "                shutil.copyfileobj(src, dst)\n",
    "                \n",
    "def download_bmd(run_id, out_dir, epoch=50):\n",
    "    os.makedirs(out_dir, exist_ok=True)\n",
    "    filename = f'bmd-epoch{epoch}.h5'\n",
    "    with gcs.open(f'gs://generative-downscaling-artifact-store/bmd-final/{run_id}/artifacts/model/{filename}') as src:\n",
    "        with open(f'{out_dir}/{filename}', 'wb') as dst:\n",
    "            shutil.copyfileobj(src, dst)\n",
    "    return load_model(f'{out_dir}/{filename}')\n",
    "\n",
    "def slerp(z1, z2, steps=4):\n",
    "    assert z1.shape[0] == 1 and z2.shape[0] == 1, 'slerp only supported for one sample at a time'\n",
    "    shape = z1.shape\n",
    "    t = np.linspace(0.,1.,steps).reshape((steps,1))\n",
    "    z1, z2 = tf.reshape(z1, (z1.shape[0],-1)), tf.reshape(z2, (z2.shape[0],-1))\n",
    "    omega = tf.math.acos(tf.math.reduce_sum(z1/tf.norm(z1)*z2/tf.norm(z2)))\n",
    "    sin_omega = tf.math.sin(omega)\n",
    "    interpolated = tf.math.sin((1.0-t)*omega) / sin_omega * z1 + tf.math.sin(t*omega)/sin_omega * z2\n",
    "    return tf.reshape(interpolated, (steps, *shape[1:]))\n",
    "\n",
    "def sample_prediction(x, model, sigma=0.5, n=100):\n",
    "    z, p_x = model.encode_x(x, return_log_prob=True)\n",
    "    _, p_y = model.decode_y(z, return_log_prob=True)\n",
    "    eps = tf.random.normal((n,*z.shape[1:]), stddev=sigma)\n",
    "    x_, p_zx = model.decode_x(z+eps, return_log_prob=True)\n",
    "    y_, p_zy = model.decode_y(z+eps, return_log_prob=True)\n",
    "    return x_, y_, (p_zx, p_zy, p_x, p_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Max temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/tensorflow_core/python/training/tracking/data_structures.py:669: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working\n",
      "  if not isinstance(wrapped_dict, collections.Mapping):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded JFLVM with 8750594 trainable parameters\n"
     ]
    }
   ],
   "source": [
    "erai_deg1_arr = erai_deg1[['MAXT']].to_array('chan').transpose('Time','lat','lon','chan')\n",
    "ras_deg14_arr = ras_deg14[['MAXT']].to_array('chan').transpose('Time','lat','lon','chan')\n",
    "lr_train, lr_test, hr_train, hr_test = get_train_test_splits(erai_deg1_arr, ras_deg14_arr, southeast_us, scale=4)\n",
    "data_fold = maxt.preprocess_fold_maxt(((lr_train, hr_train),(lr_test, hr_test)))\n",
    "train_lo, train_hi = data_fold.train\n",
    "test_lo, test_hi = data_fold.test\n",
    "N_train, N_test = train_lo.Time.size, test_lo.Time.size\n",
    "(wt, ht), (wt_hi, ht_hi) = train_lo.shape[1:3], train_hi.shape[1:3]\n",
    "monthly_means_lo, monthly_means_hi = data_fold.monthly_means\n",
    "test_ds = data_fold.test_dataset(batch_size=100, buffer_size=200,\n",
    "                                        map_fn_lo=upsample(wt_hi, ht_hi, tf.image.ResizeMethod.NEAREST_NEIGHBOR),\n",
    "                                        mode='test')\n",
    "model_joint = build_jflvm((None,wt_hi,ht_hi,1), scale=4, layers=3, depth=8,\n",
    "                          min_filters=32, max_filters=256,\n",
    "                          dnet_layers=3, dnet_filters=64)\n",
    "model_joint.load('data/saved_models/glow-jflvm/maxt-seus/ckpt', 8)\n",
    "model_vars = model_joint.trainable_variables\n",
    "param_count = sum([tf.math.reduce_prod(var.shape) for var in model_vars]).numpy()\n",
    "print(f'Loaded JFLVM with {param_count} trainable parameters')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "x, y = next(test_ds.__iter__())\n",
    "y_pred = model_joint.predict_y(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "(x_, p_x), (y_, p_y) = model_joint.sample(n=1000, return_log_prob=True)\n",
    "(z_x, p_zx), (z_y, p_zy) = model_joint.encode_x(x, return_log_prob=True), model_joint.encode_y(y, return_log_prob=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f8a4c2b8890>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 648x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,5))\n",
    "sns.jointplot(x=p_x, y=p_y, kind='hex').set_axis_labels('$\\\\log p(x)$', '$\\\\log p(y)$')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 8/8 [00:35<00:00,  4.48s/it]\n"
     ]
    }
   ],
   "source": [
    "p_xs = []\n",
    "p_ys = []\n",
    "for x, y in tqdm(test_ds, total=hr_test.Time.size//100+1):\n",
    "    y_, _, p_x = model_joint.predict_y(x, return_log_prob=True)\n",
    "    x_, _, p_y = model_joint.predict_x(y, return_log_prob=True)\n",
    "    p_xs.append(p_x)\n",
    "    p_ys.append(p_y)\n",
    "p_xs = tf.concat(p_xs, axis=0)\n",
    "p_ys = tf.concat(p_ys, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 648x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,5))\n",
    "sns.jointplot(x=p_xs, y=p_ys, kind='hex').set_axis_labels('$\\\\log p(x)$', '$\\\\log p(y)$')\n",
    "ax = plt.gca()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tf.Tensor([4.7271814], shape=(1,), dtype=float32) tf.Tensor([0.27146125], shape=(1,), dtype=float32)\n"
     ]
    }
   ],
   "source": [
    "x_samples, y_samples, (p_sx, p_sy, p_x, p_y) = sample_prediction(x[:1], model_joint, sigma=1.0, n=1000)\n",
    "print(p_x, p_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f8a5428bad0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x=p_sx, y=p_sy, kind='hex').set_axis_labels('$\\\\log p(x)$', '$\\\\log p(y)$')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "z_x, log_prob_x = model_joint.encode_x(x, return_log_prob=True)\n",
    "z_y, log_prob_y = model_joint.encode_y(y, return_log_prob=True)\n",
    "z_yp, log_prob_yp = model_joint.encode_y(y_samples, return_log_prob=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1728x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3*8,6))\n",
    "plt.subplot(1,3,1)\n",
    "plt.imshow(tf.squeeze(tf.image.resize(x[0], (wt,ht), method='nearest')).numpy(), origin='lower')\n",
    "plt.subplot(1,3,2)\n",
    "plt.imshow(tf.squeeze(y[0]).numpy(), origin='lower')\n",
    "plt.subplot(1,3,3)\n",
    "plt.imshow(tf.squeeze(y_pred[0]).numpy(), origin='lower')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "zs = slerp(z_y[:1], z_y[9:10], steps=5)\n",
    "x_interp, p_xi = model_joint.decode_x(zs, return_log_prob=True)\n",
    "y_interp, p_yi = model_joint.decode_y(zs, return_log_prob=True)\n",
    "x_interp = tf.image.resize(x_interp, (wt, ht), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x432 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs, plot_fn = image_map_factory(2, 5, figsize=(5,3))\n",
    "plot_fn(axs[0,0], y_interp[0].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[0,1], y_interp[1].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[0,2], y_interp[2].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[0,3], y_interp[3].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[0,4], y_interp[4].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[1,0], x_interp[0].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[1,1], x_interp[1].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[1,2], x_interp[2].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap='viridis')\n",
    "plot_fn(axs[1,3], x_interp[3].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap='viridis')\n",
    "cs = plot_fn(axs[1,4], x_interp[4].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap='viridis')\n",
    "fig.colorbar(cs, ax=axs.ravel().tolist(), orientation='vertical', shrink=0.6, pad=0.01).set_label('daily max temperature anomalies (K)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Precipitation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/tensorflow_core/python/training/tracking/data_structures.py:669: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working\n",
      "  if not isinstance(wrapped_dict, collections.Mapping):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loaded JFLVM with 5344786 trainable parameters\n"
     ]
    }
   ],
   "source": [
    "erai_deg1_arr = prcp.preprocess_dataset(erai_deg1[['PRCP']], erai_deg1['PRCP'].shape)\n",
    "erai_deg1_arr = erai_deg1_arr.to_array('chan').transpose('Time','lat','lon','chan')\n",
    "ras_deg14_arr = prcp.preprocess_dataset(ras_deg14[['PRCP']], ras_deg14['PRCP'].shape)\n",
    "ras_deg14_arr = ras_deg14_arr.to_array('chan').transpose('Time','lat','lon','chan')\n",
    "lr_train, lr_test, hr_train, hr_test = get_train_test_splits(erai_deg1_arr, ras_deg14_arr, southeast_us, scale=4)\n",
    "data_fold = prcp.preprocess_fold_prcp(((lr_train, hr_train),(lr_test, hr_test)))\n",
    "train_lo_prcp, train_hi_prcp = data_fold.train\n",
    "test_lo_prcp, test_hi_prcp = data_fold.test\n",
    "N_train, N_test = train_lo_prcp.Time.size, test_lo_prcp.Time.size\n",
    "(wt, ht), (wt_hi, ht_hi) = train_lo_prcp.shape[1:3], train_hi_prcp.shape[1:3]\n",
    "test_ds_prcp = data_fold.test_dataset(batch_size=1, buffer_size=1000,\n",
    "                                      map_fn_lo=upsample(wt_hi, ht_hi, tf.image.ResizeMethod.NEAREST_NEIGHBOR),\n",
    "                                      mode='test')\n",
    "model_joint_prcp = build_jflvm((None,wt_hi,ht_hi,1), scale=4, layers=3, depth=4,\n",
    "                               min_filters=32, max_filters=256,\n",
    "                               dnet_layers=3, dnet_filters=64)\n",
    "model_joint_prcp.load('data/saved_models/glow-jflvm/prcp-seus/ckpt', 10)\n",
    "model_vars = model_joint_prcp.trainable_variables\n",
    "param_count = sum([tf.math.reduce_prod(var.shape) for var in model_vars]).numpy()\n",
    "print(f'Loaded JFLVM with {param_count} trainable parameters')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv2d/kernel:0: (3, 3, 1, 64) 0.004 +/- 0.05\n",
      "conv2d/bias:0: (64,) 0.021 +/- 0.05\n",
      "conv2d_1/kernel:0: (3, 3, 64, 128) 0.000 +/- 0.04\n",
      "conv2d_1/bias:0: (128,) 0.000 +/- 0.00\n",
      "instance_normalization/gamma:0: (128,) 1.008 +/- 0.02\n",
      "instance_normalization/beta:0: (128,) 0.066 +/- 0.09\n",
      "conv2d_2/kernel:0: (3, 3, 128, 256) -0.001 +/- 0.03\n",
      "conv2d_2/bias:0: (256,) -0.000 +/- 0.00\n",
      "instance_normalization_1/gamma:0: (256,) 1.000 +/- 0.02\n",
      "instance_normalization_1/beta:0: (256,) 0.069 +/- 0.04\n",
      "conv2d_3/kernel:0: (3, 3, 256, 256) -0.001 +/- 0.03\n",
      "conv2d_3/bias:0: (256,) -0.000 +/- 0.00\n",
      "instance_normalization_2/gamma:0: (256,) 0.983 +/- 0.01\n",
      "instance_normalization_2/beta:0: (256,) 0.061 +/- 0.06\n",
      "conv2d_4/kernel:0: (3, 3, 256, 1) 0.001 +/- 0.03\n",
      "conv2d_4/bias:0: (1,) 0.000 +/- 0.00\n",
      "conv2d_5/kernel:0: (3, 3, 1, 64) 0.004 +/- 0.05\n",
      "conv2d_5/bias:0: (64,) 0.088 +/- 0.05\n",
      "conv2d_6/kernel:0: (3, 3, 64, 128) 0.000 +/- 0.04\n",
      "conv2d_6/bias:0: (128,) -0.000 +/- 0.00\n",
      "instance_normalization_3/gamma:0: (128,) 0.992 +/- 0.03\n",
      "instance_normalization_3/beta:0: (128,) 0.199 +/- 0.09\n",
      "conv2d_7/kernel:0: (3, 3, 128, 256) 0.000 +/- 0.03\n",
      "conv2d_7/bias:0: (256,) 0.000 +/- 0.00\n",
      "instance_normalization_4/gamma:0: (256,) 1.002 +/- 0.02\n",
      "instance_normalization_4/beta:0: (256,) 0.135 +/- 0.08\n",
      "conv2d_8/kernel:0: (3, 3, 256, 256) -0.001 +/- 0.03\n",
      "conv2d_8/bias:0: (256,) 0.000 +/- 0.00\n",
      "instance_normalization_5/gamma:0: (256,) 0.976 +/- 0.01\n",
      "instance_normalization_5/beta:0: (256,) 0.058 +/- 0.10\n",
      "conv2d_9/kernel:0: (3, 3, 256, 1) 0.000 +/- 0.03\n",
      "conv2d_9/bias:0: (1,) 0.000 +/- 0.00\n",
      "glow_lr_layer0_step0_act_norm/b:0: (1, 1, 1, 4) -0.072 +/- 0.08\n",
      "glow_lr_layer0_step0_act_norm/log_s:0: (1, 1, 1, 4) 0.064 +/- 0.05\n",
      "glow_lr_layer0_step0_inv_conv/L:0: (1, 4, 4) 0.053 +/- 0.23\n",
      "glow_lr_layer0_step0_inv_conv/U:0: (1, 4, 4) -0.059 +/- 0.22\n",
      "glow_lr_layer0_step0_inv_conv/log_d:0: (1, 4) 0.059 +/- 0.15\n",
      "glow_lr_layer0_step0_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.228 +/- 0.03\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) -0.004 +/- 0.08\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_1/bias:0: (32,) 0.019 +/- 0.03\n",
      "glow_lr_layer0_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) -0.000 +/- 0.06\n",
      "glow_lr_layer0_step0_affine_coupling_0/conv2d_1/bias:0: (32,) -0.001 +/- 0.02\n",
      "glow_lr_layer0_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.015 +/- 0.03\n",
      "glow_lr_layer0_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) -0.001 +/- 0.02\n",
      "glow_lr_layer0_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.001 +/- 0.06\n",
      "glow_lr_layer0_step0_affine_coupling_0/conv2d_2/bias:0: (32,) 0.006 +/- 0.02\n",
      "glow_lr_layer0_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.011 +/- 0.03\n",
      "glow_lr_layer0_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.006 +/- 0.02\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.099 +/- 0.07\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_s/bias:0: (2,) 0.250 +/- 0.01\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.001 +/- 0.02\n",
      "glow_lr_layer0_step0_affine_coupling/conv2d_t/bias:0: (2,) -0.001 +/- 0.00\n",
      "glow_lr_layer0_step1_act_norm/b:0: (1, 1, 1, 4) 0.005 +/- 0.06\n",
      "glow_lr_layer0_step1_act_norm/log_s:0: (1, 1, 1, 4) 0.217 +/- 0.06\n",
      "glow_lr_layer0_step1_inv_conv/L:0: (1, 4, 4) -0.072 +/- 0.32\n",
      "glow_lr_layer0_step1_inv_conv/U:0: (1, 4, 4) -0.014 +/- 0.25\n",
      "glow_lr_layer0_step1_inv_conv/log_d:0: (1, 4) 0.091 +/- 0.17\n",
      "glow_lr_layer0_step1_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.231 +/- 0.04\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) -0.003 +/- 0.09\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_1/bias:0: (32,) 0.026 +/- 0.03\n",
      "glow_lr_layer0_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.002 +/- 0.06\n",
      "glow_lr_layer0_step1_affine_coupling_0/conv2d_1/bias:0: (32,) 0.006 +/- 0.02\n",
      "glow_lr_layer0_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.036 +/- 0.03\n",
      "glow_lr_layer0_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.006 +/- 0.02\n",
      "glow_lr_layer0_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.003 +/- 0.06\n",
      "glow_lr_layer0_step1_affine_coupling_0/conv2d_2/bias:0: (32,) 0.015 +/- 0.02\n",
      "glow_lr_layer0_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.029 +/- 0.03\n",
      "glow_lr_layer0_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.015 +/- 0.02\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.050 +/- 0.07\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_s/bias:0: (2,) 0.173 +/- 0.00\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.006 +/- 0.02\n",
      "glow_lr_layer0_step1_affine_coupling/conv2d_t/bias:0: (2,) 0.007 +/- 0.02\n",
      "glow_lr_layer0_step2_act_norm/b:0: (1, 1, 1, 4) 0.044 +/- 0.08\n",
      "glow_lr_layer0_step2_act_norm/log_s:0: (1, 1, 1, 4) 0.355 +/- 0.25\n",
      "glow_lr_layer0_step2_inv_conv/L:0: (1, 4, 4) -0.055 +/- 0.30\n",
      "glow_lr_layer0_step2_inv_conv/U:0: (1, 4, 4) -0.039 +/- 0.23\n",
      "glow_lr_layer0_step2_inv_conv/log_d:0: (1, 4) 0.366 +/- 0.46\n",
      "glow_lr_layer0_step2_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.838 +/- 0.45\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) -0.007 +/- 0.09\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_1/bias:0: (32,) 0.027 +/- 0.02\n",
      "glow_lr_layer0_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.002 +/- 0.06\n",
      "glow_lr_layer0_step2_affine_coupling_0/conv2d_1/bias:0: (32,) 0.014 +/- 0.01\n",
      "glow_lr_layer0_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.017 +/- 0.02\n",
      "glow_lr_layer0_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.014 +/- 0.01\n",
      "glow_lr_layer0_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.005 +/- 0.06\n",
      "glow_lr_layer0_step2_affine_coupling_0/conv2d_2/bias:0: (32,) 0.019 +/- 0.01\n",
      "glow_lr_layer0_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.014 +/- 0.02\n",
      "glow_lr_layer0_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.019 +/- 0.01\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.051 +/- 0.05\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_s/bias:0: (2,) 0.743 +/- 0.48\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.004 +/- 0.02\n",
      "glow_lr_layer0_step2_affine_coupling/conv2d_t/bias:0: (2,) 0.011 +/- 0.02\n",
      "glow_lr_layer0_step3_act_norm/b:0: (1, 1, 1, 4) -0.003 +/- 0.05\n",
      "glow_lr_layer0_step3_act_norm/log_s:0: (1, 1, 1, 4) 0.645 +/- 0.21\n",
      "glow_lr_layer0_step3_inv_conv/L:0: (1, 4, 4) -0.123 +/- 0.30\n",
      "glow_lr_layer0_step3_inv_conv/U:0: (1, 4, 4) -0.110 +/- 0.27\n",
      "glow_lr_layer0_step3_inv_conv/log_d:0: (1, 4) 0.627 +/- 0.46\n",
      "glow_lr_layer0_step3_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.248 +/- 0.18\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) 0.001 +/- 0.08\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_1/bias:0: (32,) 0.039 +/- 0.05\n",
      "glow_lr_layer0_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.007 +/- 0.05\n",
      "glow_lr_layer0_step3_affine_coupling_0/conv2d_1/bias:0: (32,) 0.026 +/- 0.03\n",
      "glow_lr_layer0_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.022 +/- 0.02\n",
      "glow_lr_layer0_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.026 +/- 0.03\n",
      "glow_lr_layer0_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.003 +/- 0.05\n",
      "glow_lr_layer0_step3_affine_coupling_0/conv2d_2/bias:0: (32,) 0.026 +/- 0.03\n",
      "glow_lr_layer0_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.018 +/- 0.04\n",
      "glow_lr_layer0_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.026 +/- 0.03\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.051 +/- 0.05\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_s/bias:0: (2,) 0.216 +/- 0.16\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.001 +/- 0.02\n",
      "glow_lr_layer0_step3_affine_coupling/conv2d_t/bias:0: (2,) 0.011 +/- 0.04\n",
      "glow_lr_layer0_param/conv2d_1/kernel:0: (3, 3, 2, 4) 0.000 +/- 0.00\n",
      "glow_lr_layer0_param/conv2d_1/bias:0: (4,) 0.000 +/- 0.00\n",
      "glow_lr_layer0_param/conv2d_2/kernel:0: (1, 1, 4, 4) 0.000 +/- 0.00\n",
      "glow_lr_layer0_param/conv2d_2/bias:0: (4,) -0.653 +/- 0.68\n",
      "glow_lr_layer1_step0_act_norm/b:0: (1, 1, 1, 8) 0.024 +/- 0.05\n",
      "glow_lr_layer1_step0_act_norm/log_s:0: (1, 1, 1, 8) 0.101 +/- 0.03\n",
      "glow_lr_layer1_step0_inv_conv/L:0: (1, 8, 8) -0.004 +/- 0.31\n",
      "glow_lr_layer1_step0_inv_conv/U:0: (1, 8, 8) 0.018 +/- 0.32\n",
      "glow_lr_layer1_step0_inv_conv/log_d:0: (1, 8) 0.094 +/- 0.31\n",
      "glow_lr_layer1_step0_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.134 +/- 0.05\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) 0.002 +/- 0.06\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_1/bias:0: (64,) 0.023 +/- 0.03\n",
      "glow_lr_layer1_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) -0.001 +/- 0.04\n",
      "glow_lr_layer1_step0_affine_coupling_0/conv2d_1/bias:0: (64,) 0.011 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.022 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.011 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) -0.000 +/- 0.04\n",
      "glow_lr_layer1_step0_affine_coupling_0/conv2d_2/bias:0: (64,) 0.020 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.025 +/- 0.03\n",
      "glow_lr_layer1_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.020 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) 0.041 +/- 0.04\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_s/bias:0: (4,) 0.130 +/- 0.03\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.003 +/- 0.02\n",
      "glow_lr_layer1_step0_affine_coupling/conv2d_t/bias:0: (4,) 0.008 +/- 0.01\n",
      "glow_lr_layer1_step1_act_norm/b:0: (1, 1, 1, 8) -0.056 +/- 0.11\n",
      "glow_lr_layer1_step1_act_norm/log_s:0: (1, 1, 1, 8) 0.134 +/- 0.16\n",
      "glow_lr_layer1_step1_inv_conv/L:0: (1, 8, 8) 0.042 +/- 0.30\n",
      "glow_lr_layer1_step1_inv_conv/U:0: (1, 8, 8) -0.025 +/- 0.31\n",
      "glow_lr_layer1_step1_inv_conv/log_d:0: (1, 8) 0.206 +/- 0.23\n",
      "glow_lr_layer1_step1_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.417 +/- 0.10\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) -0.001 +/- 0.06\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_1/bias:0: (64,) 0.018 +/- 0.03\n",
      "glow_lr_layer1_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) -0.001 +/- 0.04\n",
      "glow_lr_layer1_step1_affine_coupling_0/conv2d_1/bias:0: (64,) 0.011 +/- 0.03\n",
      "glow_lr_layer1_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.021 +/- 0.02\n",
      "glow_lr_layer1_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.011 +/- 0.03\n",
      "glow_lr_layer1_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) -0.002 +/- 0.04\n",
      "glow_lr_layer1_step1_affine_coupling_0/conv2d_2/bias:0: (64,) 0.013 +/- 0.02\n",
      "glow_lr_layer1_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.021 +/- 0.02\n",
      "glow_lr_layer1_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.013 +/- 0.02\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) 0.035 +/- 0.04\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_s/bias:0: (4,) 0.348 +/- 0.13\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.000 +/- 0.02\n",
      "glow_lr_layer1_step1_affine_coupling/conv2d_t/bias:0: (4,) 0.021 +/- 0.02\n",
      "glow_lr_layer1_step2_act_norm/b:0: (1, 1, 1, 8) 0.005 +/- 0.08\n",
      "glow_lr_layer1_step2_act_norm/log_s:0: (1, 1, 1, 8) 0.297 +/- 0.20\n",
      "glow_lr_layer1_step2_inv_conv/L:0: (1, 8, 8) 0.004 +/- 0.30\n",
      "glow_lr_layer1_step2_inv_conv/U:0: (1, 8, 8) -0.031 +/- 0.29\n",
      "glow_lr_layer1_step2_inv_conv/log_d:0: (1, 8) 0.318 +/- 0.27\n",
      "glow_lr_layer1_step2_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.287 +/- 0.16\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) 0.000 +/- 0.07\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_1/bias:0: (64,) 0.043 +/- 0.04\n",
      "glow_lr_layer1_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) -0.000 +/- 0.04\n",
      "glow_lr_layer1_step2_affine_coupling_0/conv2d_1/bias:0: (64,) 0.021 +/- 0.03\n",
      "glow_lr_layer1_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.061 +/- 0.06\n",
      "glow_lr_layer1_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.021 +/- 0.03\n",
      "glow_lr_layer1_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) 0.001 +/- 0.04\n",
      "glow_lr_layer1_step2_affine_coupling_0/conv2d_2/bias:0: (64,) 0.029 +/- 0.02\n",
      "glow_lr_layer1_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.068 +/- 0.04\n",
      "glow_lr_layer1_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.029 +/- 0.02\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) 0.017 +/- 0.04\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_s/bias:0: (4,) 0.158 +/- 0.15\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.000 +/- 0.02\n",
      "glow_lr_layer1_step2_affine_coupling/conv2d_t/bias:0: (4,) -0.002 +/- 0.03\n",
      "glow_lr_layer1_step3_act_norm/b:0: (1, 1, 1, 8) 0.074 +/- 0.10\n",
      "glow_lr_layer1_step3_act_norm/log_s:0: (1, 1, 1, 8) 0.457 +/- 0.17\n",
      "glow_lr_layer1_step3_inv_conv/L:0: (1, 8, 8) -0.050 +/- 0.34\n",
      "glow_lr_layer1_step3_inv_conv/U:0: (1, 8, 8) 0.038 +/- 0.32\n",
      "glow_lr_layer1_step3_inv_conv/log_d:0: (1, 8) 0.265 +/- 0.35\n",
      "glow_lr_layer1_step3_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.307 +/- 0.16\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) -0.001 +/- 0.06\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_1/bias:0: (64,) 0.043 +/- 0.02\n",
      "glow_lr_layer1_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) 0.000 +/- 0.04\n",
      "glow_lr_layer1_step3_affine_coupling_0/conv2d_1/bias:0: (64,) 0.018 +/- 0.01\n",
      "glow_lr_layer1_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.050 +/- 0.02\n",
      "glow_lr_layer1_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.018 +/- 0.01\n",
      "glow_lr_layer1_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) 0.002 +/- 0.04\n",
      "glow_lr_layer1_step3_affine_coupling_0/conv2d_2/bias:0: (64,) 0.022 +/- 0.01\n",
      "glow_lr_layer1_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.050 +/- 0.03\n",
      "glow_lr_layer1_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.022 +/- 0.01\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) 0.026 +/- 0.04\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_s/bias:0: (4,) 0.148 +/- 0.19\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.000 +/- 0.02\n",
      "glow_lr_layer1_step3_affine_coupling/conv2d_t/bias:0: (4,) 0.005 +/- 0.02\n",
      "glow_lr_layer1_param/conv2d_1/kernel:0: (3, 3, 4, 8) 0.000 +/- 0.00\n",
      "glow_lr_layer1_param/conv2d_1/bias:0: (8,) 0.000 +/- 0.00\n",
      "glow_lr_layer1_param/conv2d_2/kernel:0: (1, 1, 8, 8) 0.000 +/- 0.00\n",
      "glow_lr_layer1_param/conv2d_2/bias:0: (8,) -0.305 +/- 0.31\n",
      "glow_lr_layer2_step0_act_norm/b:0: (1, 1, 1, 16) -0.012 +/- 0.06\n",
      "glow_lr_layer2_step0_act_norm/log_s:0: (1, 1, 1, 16) 0.201 +/- 0.07\n",
      "glow_lr_layer2_step0_inv_conv/L:0: (1, 16, 16) -0.041 +/- 0.28\n",
      "glow_lr_layer2_step0_inv_conv/U:0: (1, 16, 16) 0.010 +/- 0.28\n",
      "glow_lr_layer2_step0_inv_conv/log_d:0: (1, 16) 0.143 +/- 0.25\n",
      "glow_lr_layer2_step0_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.203 +/- 0.08\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) 0.001 +/- 0.04\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_1/bias:0: (128,) 0.022 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) 0.001 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/conv2d_1/bias:0: (128,) 0.007 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.090 +/- 0.03\n",
      "glow_lr_layer2_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.007 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) 0.001 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/conv2d_2/bias:0: (128,) 0.009 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.081 +/- 0.04\n",
      "glow_lr_layer2_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.009 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) 0.011 +/- 0.03\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_s/bias:0: (8,) 0.158 +/- 0.09\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) 0.000 +/- 0.02\n",
      "glow_lr_layer2_step0_affine_coupling/conv2d_t/bias:0: (8,) -0.003 +/- 0.01\n",
      "glow_lr_layer2_step1_act_norm/b:0: (1, 1, 1, 16) 0.011 +/- 0.09\n",
      "glow_lr_layer2_step1_act_norm/log_s:0: (1, 1, 1, 16) 0.240 +/- 0.13\n",
      "glow_lr_layer2_step1_inv_conv/L:0: (1, 16, 16) -0.014 +/- 0.25\n",
      "glow_lr_layer2_step1_inv_conv/U:0: (1, 16, 16) -0.027 +/- 0.23\n",
      "glow_lr_layer2_step1_inv_conv/log_d:0: (1, 16) 0.135 +/- 0.22\n",
      "glow_lr_layer2_step1_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.219 +/- 0.06\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) -0.000 +/- 0.04\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_1/bias:0: (128,) 0.018 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) 0.001 +/- 0.01\n",
      "glow_lr_layer2_step1_affine_coupling_0/conv2d_1/bias:0: (128,) 0.010 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.069 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.010 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) 0.002 +/- 0.01\n",
      "glow_lr_layer2_step1_affine_coupling_0/conv2d_2/bias:0: (128,) 0.014 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.049 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.014 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) 0.013 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_s/bias:0: (8,) 0.176 +/- 0.08\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) -0.000 +/- 0.02\n",
      "glow_lr_layer2_step1_affine_coupling/conv2d_t/bias:0: (8,) -0.000 +/- 0.02\n",
      "glow_lr_layer2_step2_act_norm/b:0: (1, 1, 1, 16) 0.024 +/- 0.09\n",
      "glow_lr_layer2_step2_act_norm/log_s:0: (1, 1, 1, 16) 0.215 +/- 0.12\n",
      "glow_lr_layer2_step2_inv_conv/L:0: (1, 16, 16) -0.020 +/- 0.30\n",
      "glow_lr_layer2_step2_inv_conv/U:0: (1, 16, 16) 0.023 +/- 0.27\n",
      "glow_lr_layer2_step2_inv_conv/log_d:0: (1, 16) 0.141 +/- 0.27\n",
      "glow_lr_layer2_step2_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.242 +/- 0.09\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) -0.000 +/- 0.04\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_1/bias:0: (128,) 0.019 +/- 0.02\n",
      "glow_lr_layer2_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) 0.001 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling_0/conv2d_1/bias:0: (128,) 0.005 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.069 +/- 0.02\n",
      "glow_lr_layer2_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.005 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) 0.002 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling_0/conv2d_2/bias:0: (128,) 0.007 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.045 +/- 0.03\n",
      "glow_lr_layer2_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.007 +/- 0.01\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) 0.011 +/- 0.02\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_s/bias:0: (8,) 0.200 +/- 0.09\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) 0.001 +/- 0.02\n",
      "glow_lr_layer2_step2_affine_coupling/conv2d_t/bias:0: (8,) 0.005 +/- 0.01\n",
      "glow_lr_layer2_step3_act_norm/b:0: (1, 1, 1, 16) -0.011 +/- 0.12\n",
      "glow_lr_layer2_step3_act_norm/log_s:0: (1, 1, 1, 16) 0.228 +/- 0.10\n",
      "glow_lr_layer2_step3_inv_conv/L:0: (1, 16, 16) 0.034 +/- 0.29\n",
      "glow_lr_layer2_step3_inv_conv/U:0: (1, 16, 16) 0.003 +/- 0.30\n",
      "glow_lr_layer2_step3_inv_conv/log_d:0: (1, 16) 0.125 +/- 0.17\n",
      "glow_lr_layer2_step3_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.353 +/- 0.08\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) 0.001 +/- 0.04\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_1/bias:0: (128,) 0.015 +/- 0.03\n",
      "glow_lr_layer2_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling_0/conv2d_1/bias:0: (128,) 0.017 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.063 +/- 0.03\n",
      "glow_lr_layer2_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.017 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) 0.002 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling_0/conv2d_2/bias:0: (128,) 0.015 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.038 +/- 0.04\n",
      "glow_lr_layer2_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.015 +/- 0.01\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) 0.011 +/- 0.02\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_s/bias:0: (8,) 0.290 +/- 0.10\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) -0.001 +/- 0.02\n",
      "glow_lr_layer2_step3_affine_coupling/conv2d_t/bias:0: (8,) 0.007 +/- 0.01\n",
      "gaussianize/conv2d_1/kernel:0: (3, 3, 16, 32) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_1/bias:0: (32,) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_2/kernel:0: (1, 1, 32, 32) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_2/bias:0: (32,) -0.153 +/- 0.15\n",
      "glow_hr_layer0_step0_act_norm/b:0: (1, 1, 1, 4) -0.106 +/- 0.11\n",
      "glow_hr_layer0_step0_act_norm/log_s:0: (1, 1, 1, 4) 0.103 +/- 0.12\n",
      "glow_hr_layer0_step0_inv_conv/L:0: (1, 4, 4) 0.119 +/- 0.22\n",
      "glow_hr_layer0_step0_inv_conv/U:0: (1, 4, 4) -0.011 +/- 0.21\n",
      "glow_hr_layer0_step0_inv_conv/log_d:0: (1, 4) 0.032 +/- 0.11\n",
      "glow_hr_layer0_step0_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.231 +/- 0.09\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) -0.008 +/- 0.10\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_1/bias:0: (32,) 0.042 +/- 0.07\n",
      "glow_hr_layer0_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.004 +/- 0.06\n",
      "glow_hr_layer0_step0_affine_coupling_0/conv2d_1/bias:0: (32,) 0.026 +/- 0.07\n",
      "glow_hr_layer0_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.085 +/- 0.04\n",
      "glow_hr_layer0_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.026 +/- 0.07\n",
      "glow_hr_layer0_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) -0.000 +/- 0.06\n",
      "glow_hr_layer0_step0_affine_coupling_0/conv2d_2/bias:0: (32,) 0.043 +/- 0.03\n",
      "glow_hr_layer0_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.091 +/- 0.05\n",
      "glow_hr_layer0_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.043 +/- 0.03\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.006 +/- 0.05\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_s/bias:0: (2,) 0.117 +/- 0.14\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.000 +/- 0.02\n",
      "glow_hr_layer0_step0_affine_coupling/conv2d_t/bias:0: (2,) 0.044 +/- 0.02\n",
      "glow_hr_layer0_step1_act_norm/b:0: (1, 1, 1, 4) 0.022 +/- 0.07\n",
      "glow_hr_layer0_step1_act_norm/log_s:0: (1, 1, 1, 4) 0.094 +/- 0.11\n",
      "glow_hr_layer0_step1_inv_conv/L:0: (1, 4, 4) 0.065 +/- 0.19\n",
      "glow_hr_layer0_step1_inv_conv/U:0: (1, 4, 4) -0.019 +/- 0.22\n",
      "glow_hr_layer0_step1_inv_conv/log_d:0: (1, 4) 0.069 +/- 0.21\n",
      "glow_hr_layer0_step1_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.218 +/- 0.10\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) 0.014 +/- 0.09\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_1/bias:0: (32,) 0.073 +/- 0.05\n",
      "glow_hr_layer0_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.007 +/- 0.06\n",
      "glow_hr_layer0_step1_affine_coupling_0/conv2d_1/bias:0: (32,) 0.036 +/- 0.04\n",
      "glow_hr_layer0_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.077 +/- 0.04\n",
      "glow_hr_layer0_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.036 +/- 0.04\n",
      "glow_hr_layer0_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.002 +/- 0.06\n",
      "glow_hr_layer0_step1_affine_coupling_0/conv2d_2/bias:0: (32,) 0.045 +/- 0.03\n",
      "glow_hr_layer0_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.122 +/- 0.10\n",
      "glow_hr_layer0_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.045 +/- 0.03\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.013 +/- 0.04\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_s/bias:0: (2,) 0.083 +/- 0.08\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) -0.004 +/- 0.02\n",
      "glow_hr_layer0_step1_affine_coupling/conv2d_t/bias:0: (2,) -0.029 +/- 0.01\n",
      "glow_hr_layer0_step2_act_norm/b:0: (1, 1, 1, 4) 0.025 +/- 0.07\n",
      "glow_hr_layer0_step2_act_norm/log_s:0: (1, 1, 1, 4) 0.073 +/- 0.09\n",
      "glow_hr_layer0_step2_inv_conv/L:0: (1, 4, 4) 0.094 +/- 0.42\n",
      "glow_hr_layer0_step2_inv_conv/U:0: (1, 4, 4) 0.038 +/- 0.53\n",
      "glow_hr_layer0_step2_inv_conv/log_d:0: (1, 4) 0.068 +/- 0.46\n",
      "glow_hr_layer0_step2_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.121 +/- 0.09\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) 0.013 +/- 0.11\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_1/bias:0: (32,) 0.065 +/- 0.06\n",
      "glow_hr_layer0_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.003 +/- 0.07\n",
      "glow_hr_layer0_step2_affine_coupling_0/conv2d_1/bias:0: (32,) 0.031 +/- 0.05\n",
      "glow_hr_layer0_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.096 +/- 0.04\n",
      "glow_hr_layer0_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.031 +/- 0.05\n",
      "glow_hr_layer0_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) -0.002 +/- 0.06\n",
      "glow_hr_layer0_step2_affine_coupling_0/conv2d_2/bias:0: (32,) 0.026 +/- 0.04\n",
      "glow_hr_layer0_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.135 +/- 0.07\n",
      "glow_hr_layer0_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.026 +/- 0.04\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.006 +/- 0.05\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_s/bias:0: (2,) 0.064 +/- 0.02\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) 0.000 +/- 0.03\n",
      "glow_hr_layer0_step2_affine_coupling/conv2d_t/bias:0: (2,) -0.043 +/- 0.03\n",
      "glow_hr_layer0_step3_act_norm/b:0: (1, 1, 1, 4) -0.063 +/- 0.10\n",
      "glow_hr_layer0_step3_act_norm/log_s:0: (1, 1, 1, 4) 0.096 +/- 0.13\n",
      "glow_hr_layer0_step3_inv_conv/L:0: (1, 4, 4) -0.105 +/- 0.30\n",
      "glow_hr_layer0_step3_inv_conv/U:0: (1, 4, 4) -0.125 +/- 0.29\n",
      "glow_hr_layer0_step3_inv_conv/log_d:0: (1, 4) 0.104 +/- 0.32\n",
      "glow_hr_layer0_step3_affine_coupling/log_scale:0: (1, 1, 1, 2) 0.349 +/- 0.03\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 2, 32) 0.008 +/- 0.08\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_1/bias:0: (32,) 0.019 +/- 0.02\n",
      "glow_hr_layer0_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 32, 32) 0.000 +/- 0.05\n",
      "glow_hr_layer0_step3_affine_coupling_0/conv2d_1/bias:0: (32,) 0.019 +/- 0.01\n",
      "glow_hr_layer0_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 32) 0.019 +/- 0.02\n",
      "glow_hr_layer0_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 32) 0.019 +/- 0.01\n",
      "glow_hr_layer0_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 32, 32) 0.002 +/- 0.05\n",
      "glow_hr_layer0_step3_affine_coupling_0/conv2d_2/bias:0: (32,) 0.028 +/- 0.01\n",
      "glow_hr_layer0_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 32) 0.014 +/- 0.02\n",
      "glow_hr_layer0_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 32) 0.028 +/- 0.01\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 32, 2) 0.054 +/- 0.03\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_s/bias:0: (2,) 0.321 +/- 0.03\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 32, 2) -0.003 +/- 0.02\n",
      "glow_hr_layer0_step3_affine_coupling/conv2d_t/bias:0: (2,) 0.015 +/- 0.02\n",
      "glow_hr_layer0_param/conv2d_1/kernel:0: (3, 3, 2, 4) 0.000 +/- 0.00\n",
      "glow_hr_layer0_param/conv2d_1/bias:0: (4,) 0.000 +/- 0.00\n",
      "glow_hr_layer0_param/conv2d_2/kernel:0: (1, 1, 4, 4) 0.000 +/- 0.00\n",
      "glow_hr_layer0_param/conv2d_2/bias:0: (4,) -0.210 +/- 0.19\n",
      "glow_hr_layer1_step0_act_norm/b:0: (1, 1, 1, 8) 0.029 +/- 0.09\n",
      "glow_hr_layer1_step0_act_norm/log_s:0: (1, 1, 1, 8) 0.026 +/- 0.07\n",
      "glow_hr_layer1_step0_inv_conv/L:0: (1, 8, 8) 0.020 +/- 0.29\n",
      "glow_hr_layer1_step0_inv_conv/U:0: (1, 8, 8) -0.030 +/- 0.27\n",
      "glow_hr_layer1_step0_inv_conv/log_d:0: (1, 8) 0.012 +/- 0.23\n",
      "glow_hr_layer1_step0_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.035 +/- 0.05\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) 0.002 +/- 0.07\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_1/bias:0: (64,) 0.042 +/- 0.04\n",
      "glow_hr_layer1_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) 0.002 +/- 0.04\n",
      "glow_hr_layer1_step0_affine_coupling_0/conv2d_1/bias:0: (64,) 0.035 +/- 0.03\n",
      "glow_hr_layer1_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.063 +/- 0.02\n",
      "glow_hr_layer1_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.035 +/- 0.03\n",
      "glow_hr_layer1_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) 0.004 +/- 0.04\n",
      "glow_hr_layer1_step0_affine_coupling_0/conv2d_2/bias:0: (64,) 0.047 +/- 0.03\n",
      "glow_hr_layer1_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.111 +/- 0.05\n",
      "glow_hr_layer1_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.047 +/- 0.03\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) -0.003 +/- 0.04\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_s/bias:0: (4,) 0.010 +/- 0.02\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.000 +/- 0.03\n",
      "glow_hr_layer1_step0_affine_coupling/conv2d_t/bias:0: (4,) -0.004 +/- 0.02\n",
      "glow_hr_layer1_step1_act_norm/b:0: (1, 1, 1, 8) -0.018 +/- 0.09\n",
      "glow_hr_layer1_step1_act_norm/log_s:0: (1, 1, 1, 8) 0.103 +/- 0.09\n",
      "glow_hr_layer1_step1_inv_conv/L:0: (1, 8, 8) 0.023 +/- 0.36\n",
      "glow_hr_layer1_step1_inv_conv/U:0: (1, 8, 8) -0.024 +/- 0.35\n",
      "glow_hr_layer1_step1_inv_conv/log_d:0: (1, 8) 0.058 +/- 0.33\n",
      "glow_hr_layer1_step1_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.186 +/- 0.05\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) -0.007 +/- 0.06\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_1/bias:0: (64,) 0.026 +/- 0.02\n",
      "glow_hr_layer1_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) 0.001 +/- 0.04\n",
      "glow_hr_layer1_step1_affine_coupling_0/conv2d_1/bias:0: (64,) 0.016 +/- 0.01\n",
      "glow_hr_layer1_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.056 +/- 0.02\n",
      "glow_hr_layer1_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.016 +/- 0.01\n",
      "glow_hr_layer1_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) -0.000 +/- 0.04\n",
      "glow_hr_layer1_step1_affine_coupling_0/conv2d_2/bias:0: (64,) 0.021 +/- 0.01\n",
      "glow_hr_layer1_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.072 +/- 0.04\n",
      "glow_hr_layer1_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.021 +/- 0.01\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) -0.001 +/- 0.03\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_s/bias:0: (4,) 0.185 +/- 0.06\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.002 +/- 0.02\n",
      "glow_hr_layer1_step1_affine_coupling/conv2d_t/bias:0: (4,) 0.001 +/- 0.02\n",
      "glow_hr_layer1_step2_act_norm/b:0: (1, 1, 1, 8) -0.016 +/- 0.10\n",
      "glow_hr_layer1_step2_act_norm/log_s:0: (1, 1, 1, 8) 0.064 +/- 0.06\n",
      "glow_hr_layer1_step2_inv_conv/L:0: (1, 8, 8) 0.018 +/- 0.35\n",
      "glow_hr_layer1_step2_inv_conv/U:0: (1, 8, 8) -0.039 +/- 0.31\n",
      "glow_hr_layer1_step2_inv_conv/log_d:0: (1, 8) 0.032 +/- 0.25\n",
      "glow_hr_layer1_step2_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.061 +/- 0.03\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) -0.005 +/- 0.06\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_1/bias:0: (64,) 0.029 +/- 0.03\n",
      "glow_hr_layer1_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) 0.001 +/- 0.04\n",
      "glow_hr_layer1_step2_affine_coupling_0/conv2d_1/bias:0: (64,) 0.030 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.060 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.030 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) 0.002 +/- 0.04\n",
      "glow_hr_layer1_step2_affine_coupling_0/conv2d_2/bias:0: (64,) 0.032 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.083 +/- 0.04\n",
      "glow_hr_layer1_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.032 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) 0.002 +/- 0.03\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_s/bias:0: (4,) 0.043 +/- 0.04\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.001 +/- 0.02\n",
      "glow_hr_layer1_step2_affine_coupling/conv2d_t/bias:0: (4,) 0.004 +/- 0.01\n",
      "glow_hr_layer1_step3_act_norm/b:0: (1, 1, 1, 8) 0.040 +/- 0.07\n",
      "glow_hr_layer1_step3_act_norm/log_s:0: (1, 1, 1, 8) 0.058 +/- 0.11\n",
      "glow_hr_layer1_step3_inv_conv/L:0: (1, 8, 8) -0.026 +/- 0.30\n",
      "glow_hr_layer1_step3_inv_conv/U:0: (1, 8, 8) -0.016 +/- 0.31\n",
      "glow_hr_layer1_step3_inv_conv/log_d:0: (1, 8) 0.056 +/- 0.17\n",
      "glow_hr_layer1_step3_affine_coupling/log_scale:0: (1, 1, 1, 4) 0.053 +/- 0.01\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 4, 64) -0.006 +/- 0.06\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_1/bias:0: (64,) 0.023 +/- 0.02\n",
      "glow_hr_layer1_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 64, 64) 0.001 +/- 0.04\n",
      "glow_hr_layer1_step3_affine_coupling_0/conv2d_1/bias:0: (64,) 0.010 +/- 0.03\n",
      "glow_hr_layer1_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 64) 0.037 +/- 0.02\n",
      "glow_hr_layer1_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 64) 0.010 +/- 0.03\n",
      "glow_hr_layer1_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 64, 64) 0.001 +/- 0.03\n",
      "glow_hr_layer1_step3_affine_coupling_0/conv2d_2/bias:0: (64,) 0.037 +/- 0.03\n",
      "glow_hr_layer1_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 64) 0.074 +/- 0.07\n",
      "glow_hr_layer1_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 64) 0.037 +/- 0.03\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 64, 4) -0.000 +/- 0.04\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_s/bias:0: (4,) -0.032 +/- 0.01\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 64, 4) 0.002 +/- 0.02\n",
      "glow_hr_layer1_step3_affine_coupling/conv2d_t/bias:0: (4,) 0.016 +/- 0.00\n",
      "glow_hr_layer1_param/conv2d_1/kernel:0: (3, 3, 4, 8) 0.000 +/- 0.00\n",
      "glow_hr_layer1_param/conv2d_1/bias:0: (8,) 0.000 +/- 0.00\n",
      "glow_hr_layer1_param/conv2d_2/kernel:0: (1, 1, 8, 8) 0.000 +/- 0.00\n",
      "glow_hr_layer1_param/conv2d_2/bias:0: (8,) -0.026 +/- 0.06\n",
      "glow_hr_layer2_step0_act_norm/b:0: (1, 1, 1, 16) -0.004 +/- 0.11\n",
      "glow_hr_layer2_step0_act_norm/log_s:0: (1, 1, 1, 16) 0.056 +/- 0.06\n",
      "glow_hr_layer2_step0_inv_conv/L:0: (1, 16, 16) -0.007 +/- 0.28\n",
      "glow_hr_layer2_step0_inv_conv/U:0: (1, 16, 16) 0.034 +/- 0.25\n",
      "glow_hr_layer2_step0_inv_conv/log_d:0: (1, 16) 0.048 +/- 0.16\n",
      "glow_hr_layer2_step0_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.044 +/- 0.01\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) 0.001 +/- 0.04\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_1/bias:0: (128,) 0.019 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step0_affine_coupling_0/conv2d_1/bias:0: (128,) 0.020 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.064 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.020 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step0_affine_coupling_0/conv2d_2/bias:0: (128,) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step0_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.037 +/- 0.03\n",
      "glow_hr_layer2_step0_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) -0.002 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_s/bias:0: (8,) 0.038 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) -0.001 +/- 0.02\n",
      "glow_hr_layer2_step0_affine_coupling/conv2d_t/bias:0: (8,) -0.006 +/- 0.01\n",
      "glow_hr_layer2_step1_act_norm/b:0: (1, 1, 1, 16) 0.017 +/- 0.08\n",
      "glow_hr_layer2_step1_act_norm/log_s:0: (1, 1, 1, 16) 0.022 +/- 0.06\n",
      "glow_hr_layer2_step1_inv_conv/L:0: (1, 16, 16) -0.017 +/- 0.32\n",
      "glow_hr_layer2_step1_inv_conv/U:0: (1, 16, 16) -0.062 +/- 0.57\n",
      "glow_hr_layer2_step1_inv_conv/log_d:0: (1, 16) 0.078 +/- 0.23\n",
      "glow_hr_layer2_step1_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.074 +/- 0.04\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) 0.000 +/- 0.04\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_1/bias:0: (128,) 0.016 +/- 0.02\n",
      "glow_hr_layer2_step1_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling_0/conv2d_1/bias:0: (128,) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.064 +/- 0.02\n",
      "glow_hr_layer2_step1_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling_0/conv2d_2/bias:0: (128,) 0.015 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.044 +/- 0.04\n",
      "glow_hr_layer2_step1_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.015 +/- 0.01\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) -0.002 +/- 0.02\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_s/bias:0: (8,) 0.058 +/- 0.05\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) -0.001 +/- 0.02\n",
      "glow_hr_layer2_step1_affine_coupling/conv2d_t/bias:0: (8,) 0.005 +/- 0.01\n",
      "glow_hr_layer2_step2_act_norm/b:0: (1, 1, 1, 16) 0.003 +/- 0.14\n",
      "glow_hr_layer2_step2_act_norm/log_s:0: (1, 1, 1, 16) 0.015 +/- 0.09\n",
      "glow_hr_layer2_step2_inv_conv/L:0: (1, 16, 16) 0.043 +/- 0.32\n",
      "glow_hr_layer2_step2_inv_conv/U:0: (1, 16, 16) 0.024 +/- 0.30\n",
      "glow_hr_layer2_step2_inv_conv/log_d:0: (1, 16) 0.072 +/- 0.23\n",
      "glow_hr_layer2_step2_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.049 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) -0.001 +/- 0.04\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_1/bias:0: (128,) 0.015 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) -0.001 +/- 0.01\n",
      "glow_hr_layer2_step2_affine_coupling_0/conv2d_1/bias:0: (128,) 0.014 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.058 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.014 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step2_affine_coupling_0/conv2d_2/bias:0: (128,) 0.021 +/- 0.01\n",
      "glow_hr_layer2_step2_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.038 +/- 0.04\n",
      "glow_hr_layer2_step2_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.021 +/- 0.01\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) -0.001 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_s/bias:0: (8,) 0.046 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) 0.000 +/- 0.02\n",
      "glow_hr_layer2_step2_affine_coupling/conv2d_t/bias:0: (8,) -0.001 +/- 0.01\n",
      "glow_hr_layer2_step3_act_norm/b:0: (1, 1, 1, 16) -0.001 +/- 0.09\n",
      "glow_hr_layer2_step3_act_norm/log_s:0: (1, 1, 1, 16) 0.017 +/- 0.07\n",
      "glow_hr_layer2_step3_inv_conv/L:0: (1, 16, 16) 0.013 +/- 0.28\n",
      "glow_hr_layer2_step3_inv_conv/U:0: (1, 16, 16) -0.007 +/- 0.34\n",
      "glow_hr_layer2_step3_inv_conv/log_d:0: (1, 16) 0.083 +/- 0.26\n",
      "glow_hr_layer2_step3_affine_coupling/log_scale:0: (1, 1, 1, 8) 0.072 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_1/kernel:0: (3, 3, 8, 128) -0.001 +/- 0.04\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_1/bias:0: (128,) 0.019 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling_0/conv2d_1/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step3_affine_coupling_0/conv2d_1/bias:0: (128,) 0.014 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling_0/act_norm_1/log_s:0: (1, 1, 1, 128) 0.059 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling_0/act_norm_1/b:0: (1, 1, 1, 128) 0.014 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling_0/conv2d_2/kernel:0: (3, 3, 128, 128) -0.000 +/- 0.01\n",
      "glow_hr_layer2_step3_affine_coupling_0/conv2d_2/bias:0: (128,) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step3_affine_coupling_0/act_norm_2/log_s:0: (1, 1, 1, 128) 0.038 +/- 0.03\n",
      "glow_hr_layer2_step3_affine_coupling_0/act_norm_2/b:0: (1, 1, 1, 128) 0.017 +/- 0.01\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_s/kernel:0: (3, 3, 128, 8) -0.000 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_s/bias:0: (8,) 0.058 +/- 0.03\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_t/kernel:0: (3, 3, 128, 8) -0.001 +/- 0.02\n",
      "glow_hr_layer2_step3_affine_coupling/conv2d_t/bias:0: (8,) -0.004 +/- 0.01\n",
      "gaussianize/conv2d_1_1/kernel:0: (3, 3, 16, 32) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_1_1/bias:0: (32,) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_2_1/kernel:0: (1, 1, 32, 32) 0.000 +/- 0.00\n",
      "gaussianize/conv2d_2_1/bias:0: (32,) -0.018 +/- 0.04\n"
     ]
    }
   ],
   "source": [
    "for var in model_vars:\n",
    "    print(f'{var.name}: {var.shape} {tf.math.reduce_mean(var):.3f} +/- {tf.math.reduce_std(var):.2f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "229 2012-05-18T00:00:00.000000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/dask/core.py:119: RuntimeWarning: invalid value encountered in greater\n",
      "  return func(*args2)\n"
     ]
    }
   ],
   "source": [
    "t = 229 #np.random.choice(range(hr_test.Time.size))\n",
    "print(t, hr_test.Time[t].values)\n",
    "x, y = next(test_ds_prcp.skip(t).__iter__())\n",
    "y_pred = model_joint_prcp.predict_y(x[:1])\n",
    "y_samples,_ = model_joint_prcp.sample_predict_y(x[:1], temperature=0.7, n=10)\n",
    "y_samples = y_samples**3\n",
    "y_samples = tf.where(y_samples > 5.0, y_samples, 0.0)\n",
    "x = tf.where(x > 1.0, x**3, 0.0)\n",
    "y = tf.where(y > 1.0, y**3, 0.0)\n",
    "y_pred = tf.where(y_pred > 1.0, y_pred**3, 0.0)\n",
    "x = tf.image.resize(x, (wt,ht), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs, plot_fn = image_map_factory(2, 4, figsize=(6,3))\n",
    "pmap = prcp_cmap()\n",
    "axs[0,0].set_visible(False)\n",
    "axs[0,-1].set_visible(False)\n",
    "plot_fn(axs[0,1], x[0].numpy().squeeze(), lr_test.lat, lr_test.lon, title='ERA-I', cmap=pmap)\n",
    "plot_fn(axs[0,2], y[0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='WRF-4', cmap=pmap)\n",
    "plot_fn(axs[1,0], y_pred[0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Predicted', cmap=pmap)\n",
    "plot_fn(axs[1,1], y_samples[0,0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 1', cmap=pmap)\n",
    "plot_fn(axs[1,2], y_samples[0,1].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 2', cmap=pmap)\n",
    "cs = plot_fn(axs[1,3], y_samples[0,2].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 3', cmap=pmap)\n",
    "fig.colorbar(cs, ax=axs.ravel().tolist(), orientation='vertical', shrink=0.75, pad=0.01).set_label('daily precipitation (mm)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = 208\n",
    "print(hr_test.Time[t].values)\n",
    "x, y = next(test_ds_prcp.skip(t).unbatch().batch(10).__iter__())\n",
    "z_x, log_prob_x = model_joint_prcp.encode_x(x, return_log_prob=True)\n",
    "z_y, log_prob_y = model_joint_prcp.encode_y(y, return_log_prob=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "zs = slerp(z_y[:1], z_y[9:10], steps=5)\n",
    "x_interp, p_xi = model_joint_prcp.decode_x(zs, return_log_prob=True)\n",
    "y_interp, p_yi = model_joint_prcp.decode_y(zs, return_log_prob=True)\n",
    "x_interp = tf.where(x_interp > 1.0, x_interp**3, 0.0)\n",
    "y_interp = tf.where(y_interp > 1.0, y_interp**3, 0.0)\n",
    "x_interp = tf.image.resize(x_interp, (wt,ht), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x432 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs, plot_fn = image_map_factory(2, 5, figsize=(5,3))\n",
    "plot_fn(axs[0,0], y_interp[0].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[0,1], y_interp[1].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[0,2], y_interp[2].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[0,3], y_interp[3].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[0,4], y_interp[4].numpy().squeeze(), hr_test.lat, hr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[1,0], x_interp[0].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[1,1], x_interp[1].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[1,2], x_interp[2].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap=pmap)\n",
    "plot_fn(axs[1,3], x_interp[3].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap=pmap)\n",
    "cs = plot_fn(axs[1,4], x_interp[4].numpy().squeeze(), lr_test.lat, lr_test.lon, cmap=pmap)\n",
    "fig.colorbar(cs, ax=axs.ravel().tolist(), orientation='vertical', shrink=0.6, pad=0.01).set_label('daily precipitation (mm)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Anomaly likelihood analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/xarray/core/indexing.py:1325: PerformanceWarning: Slicing with an out-of-order index is generating 76 times more chunks\n",
      "  return self.array[key]\n"
     ]
    }
   ],
   "source": [
    "upper_quartile = test_hi.chunk({'Time': -1}).quantile(0.75, dim='Time')\n",
    "lower_quartile = test_hi.chunk({'Time': -1}).quantile(0.25, dim='Time')\n",
    "out_iqr_counts = xr.ufuncs.logical_or(test_hi > upper_quartile, test_hi < lower_quartile).sum(dim=['lat','lon']).compute()\n",
    "inds = out_iqr_counts.squeeze().argsort(axis=0)\n",
    "lr_sorted = test_lo[inds.values]\n",
    "lr_vals = tf.image.resize(lr_sorted.values.astype(np.float32), (wt_hi,ht_hi), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "zp, p_x_maxt = model_joint.encode_x(lr_vals, return_log_prob=True)\n",
    "_, p_y_maxt = model_joint.decode_y(zp, return_log_prob=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/dask/core.py:119: RuntimeWarning: invalid value encountered in greater\n",
      "  return func(*args2)\n",
      "/srv/conda/envs/notebook/lib/python3.7/site-packages/xarray/core/indexing.py:1325: PerformanceWarning: Slicing with an out-of-order index is generating 78 times more chunks\n",
      "  return self.array[key]\n"
     ]
    }
   ],
   "source": [
    "prcp_data = xr.where(test_hi_prcp > 1.0, test_hi_prcp**3, 0.0)\n",
    "upper_quartile = prcp_data.chunk({'Time': -1}).quantile(0.75, dim='Time')\n",
    "lower_quartile = prcp_data.chunk({'Time': -1}).quantile(0.25, dim='Time')\n",
    "out_iqr_counts_prcp = xr.ufuncs.logical_or(prcp_data > upper_quartile, prcp_data < lower_quartile).sum(dim=['lat','lon']).compute()\n",
    "inds_prcp = out_iqr_counts_prcp.squeeze().argsort(axis=0)\n",
    "lr_sorted = test_lo_prcp[inds_prcp.values]\n",
    "lr_vals = tf.image.resize(lr_sorted.values.astype(np.float32), (wt_hi,ht_hi), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "zp, p_x_prcp = model_joint.encode_x(lr_vals, return_log_prob=True)\n",
    "_, p_y_prcp = model_joint.decode_y(zp, return_log_prob=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "anomaly_counts_maxt = out_iqr_counts[inds.values].squeeze()\n",
    "anomaly_counts_prcp = out_iqr_counts_prcp[inds_prcp.values].squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1,2,figsize=(2*6,4))\n",
    "fig.add_subplot(111, frameon=False)\n",
    "# hide tick and tick label of the big axis\n",
    "plt.tick_params(labelcolor='none', top=False, bottom=False, left=False, right=False)\n",
    "plt.xlabel(\"Spatial anomaly count\")\n",
    "sns.scatterplot(x=anomaly_counts_maxt.values, y=p_y_maxt, ax=axs[0], alpha=0.75)\n",
    "axs[0].set(ylabel='Log likelihood', title='Max temperature')\n",
    "axs[1].set(title='Precipitation')\n",
    "sns.scatterplot(x=anomaly_counts_prcp.values, y=p_y_prcp, ax=axs[1], alpha=0.75)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Preciptation WRF-8 ($\\frac{1}{8}^{\\circ}$)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.training.tracking.util.CheckpointLoadStatus at 0x7f4ec511e350>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erai_deg1_pnw = pacific_nw(erai_deg1[['PRCP']]) \n",
    "ras_deg18_pnw = pacific_nw(ras_deg18[['PRCP']], scale_factor=8) \n",
    "erai_deg1_pnw = prcp.preprocess_dataset(erai_deg1_pnw, erai_deg1_pnw['PRCP'].shape)\n",
    "erai_deg1_arr = erai_deg1_pnw.to_array('chan').transpose('Time','lat','lon','chan')\n",
    "ras_deg18_arr = prcp.preprocess_dataset(ras_deg18_pnw, ras_deg18_pnw['PRCP'].shape)\n",
    "ras_deg18_arr = ras_deg18_arr.to_array('chan').transpose('Time','lat','lon','chan')\n",
    "lr_train = erai_deg1_arr.isel(Time=slice(0,erai_deg1_arr.Time.size-2*365+146))\n",
    "lr_test = erai_deg1_arr.isel(Time=slice(erai_deg1_arr.Time.size-2*365+146, erai_deg1_arr.Time.size+1))\n",
    "hr_train = ras_deg18_arr.isel(Time=slice(0,ras_deg18_arr.Time.size-2*365+146))\n",
    "hr_test = ras_deg18_arr.isel(Time=slice(ras_deg18_arr.Time.size-2*365+146, ras_deg18_arr.Time.size+1))\n",
    "data_fold = prcp.preprocess_fold_prcp(((lr_train, hr_train),(lr_test, hr_test)))\n",
    "train_lo_prcp, train_hi_prcp = data_fold.train\n",
    "test_lo_prcp, test_hi_prcp = data_fold.test\n",
    "N_train, N_test = train_lo_prcp.Time.size, test_lo_prcp.Time.size\n",
    "(wt, ht), (wt_hi, ht_hi) = train_lo_prcp.shape[1:3], train_hi_prcp.shape[1:3]\n",
    "test_ds_prcp = data_fold.test_dataset(batch_size=1, buffer_size=100,\n",
    "                                      map_fn_lo=upsample(wt_hi, ht_hi, tf.image.ResizeMethod.NEAREST_NEIGHBOR),\n",
    "                                      mode='test')\n",
    "model_joint_prcp = build_jflvm((None,wt_hi,ht_hi,1), scale=8, layers=4, depth=4,\n",
    "                               min_filters=32, max_filters=256,\n",
    "                               dnet_layers=3, dnet_filters=64)\n",
    "model_joint_prcp.load('data/saved_models/glow-jflvm/prcp-pnw/8x/ckpt', 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "573 2013-09-20T00:00:00.000000000\n"
     ]
    }
   ],
   "source": [
    "t = 573 #np.random.choice(range(147, hr_test.Time.size))\n",
    "print(t, hr_test.Time[t].values)\n",
    "x, y = next(test_ds_prcp.skip(t).__iter__())\n",
    "y_pred = model_joint_prcp.predict_y(x[:1])\n",
    "y_samples,_ = model_joint_prcp.sample_predict_y(x[:1], temperature=0.7, n=10)\n",
    "y_samples = y_samples**3\n",
    "y_samples = tf.where(y_samples > 2.0, y_samples, 0.0)\n",
    "x = tf.where(x > 1.0, x**3, 0.0)\n",
    "y = tf.where(y > 1.0, y**3, 0.0)\n",
    "y_pred = y_pred**3\n",
    "y_pred = tf.where(y_pred > 2.0, y_pred, 0.0)\n",
    "x = tf.image.resize(x, (wt,ht), method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs, plot_fn = image_map_factory(2, 3, figsize=(6,3))\n",
    "pmap = prcp_cmap()\n",
    "plot_fn(axs[0,0], x[0].numpy().squeeze(), lr_test.lat, lr_test.lon, title='ERA-I', cmap=pmap)\n",
    "plot_fn(axs[0,1], y[0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='WRF-8', cmap=pmap)\n",
    "plot_fn(axs[0,2], y_pred[0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Predicted', cmap=pmap)\n",
    "plot_fn(axs[1,0], y_samples[0,0].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 1', cmap=pmap)\n",
    "plot_fn(axs[1,1], y_samples[0,1].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 2', cmap=pmap)\n",
    "cs = plot_fn(axs[1,2], y_samples[0,2].numpy().squeeze(), hr_test.lat, hr_test.lon, title='Sample 3', cmap=pmap)\n",
    "fig.colorbar(cs, ax=axs.ravel().tolist(), orientation='vertical', shrink=0.75, pad=0.01).set_label('daily precipitation (mm)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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