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docs/tutorial/python/imputation_1modality.ipynb.
Interactive online version:
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Imputation for single modality#
[1]:
import os
import sys
import numpy as np
import pandas as pd
import scipy as sp
import scipy.sparse
import h5py
import tensorflow as tf
import matplotlib.pyplot as plt
import scanpy as sc
physical_devices = tf.config.list_physical_devices('GPU')
try:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
except:
# Invalid device or cannot modify virtual devices once initialized.
pass
2025-06-07 03:30:21.873981: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-06-07 03:30:21.895650: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2025-06-07 03:30:21.895667: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2025-06-07 03:30:21.896238: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2025-06-07 03:30:21.899380: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE4.1 SSE4.2 AVX AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-06-07 03:30:34.405616: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.441167: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.441278: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
Load data#
[2]:
with h5py.File('dogma_cite_asap.h5', 'r') as f:
print(f.keys())
ADT_names = np.array(f['ADT_names'], dtype='S32').astype(str)
gene_names = np.array(f['gene_names'], dtype='S32').astype(str)
# Count matrices of three modalities: X for genes, Y for ADT, and Z for peaks.
X = sp.sparse.csc_matrix(
(np.array(f['RNA.data'], dtype=np.float32),
np.array(f['RNA.indices'], dtype=np.int32),
np.array(f['RNA.indptr'], dtype=np.int32)
),
shape = np.array(f['RNA.shape'], dtype=np.int32)).tocsc().astype(np.float32)
Y = np.array(f['ADT'], dtype=np.float32)
cell_types = np.array(f['cell_types'], dtype='S32').astype(str)
# The covariate matrix, the last column is the ids of datasets
batches = np.array(f['batches'], dtype=np.float32)
# The indices of features that are observed in each dataset.
id_X_cite = np.array(f['id_X_cite'], dtype=np.int32)
id_Y_cite = np.array(f['id_Y_cite'], dtype=np.int32)
id_Y_asap = np.array(f['id_Y_asap'], dtype=np.int32)
# The sample size
sample_sizes = np.array(f['sample_sizes'], dtype=np.int32)
# Preprocess the ADT data
Y = np.log(Y/np.sum(Y, axis=1, keepdims=True)*1e4+1.)
data = Y
# Subset the data, only use CITE-seq and ASAP-seq datasets for illustration.
batches = batches[sample_sizes[0]:]
data = data[sample_sizes[0]:]
data_raw = data.copy()
sample_sizes = sample_sizes[1:]
# Here all the proteins are measured for the two datasets
# so id_Y_cite = id_Y_asap with length 227
dim_input_arr = np.array([len(ADT_names)])
# The masks indicate missing pattern for the whole datasets.
masks_raw = np.zeros_like(data, dtype=np.float32)
# We randomly remove 10% of entries in each dataset to be missing
# Each row corresponds to a cell, and each column corresponds to a feature.
# If the dataset is large, one can also provide a mask matrix with shape (num_datasets, num_features)
# along with a variable `id_datasets` to reduce memory usages.
# -1 means missing and 0 means observed.
id_Y_cite_val = np.random.choice(id_Y_cite, int(0.1*len(id_Y_cite)), replace=False)
id_Y_asap_val = np.random.choice(id_Y_asap, int(0.1*len(id_Y_asap)), replace=False)
masks = masks_raw.copy()
masks[:sample_sizes[0], id_Y_cite_val] = -1
masks[sample_sizes[0]:, id_Y_asap_val] = -1
data = data * (masks != -1)
masks = tf.convert_to_tensor(masks, dtype=tf.float32)
# data and masks have shape [sum(sample_sizes), sum(dim_input_arr)]
print('Sample sizes: {}. Feature sizes: {}.'.format(sample_sizes, dim_input_arr))
<KeysViewHDF5 ['ADT', 'ADT_names', 'RNA.data', 'RNA.indices', 'RNA.indptr', 'RNA.shape', 'batches', 'cell_ids', 'cell_types', 'gene_names', 'id_X_cite', 'id_X_dogma', 'id_Y_asap', 'id_Y_cite', 'id_Y_dogma', 'id_Z_asap', 'id_Z_dogma', 'peak_names', 'peaks.data', 'peaks.indices', 'peaks.indptr', 'peaks.shape', 'sample_sizes']>
Sample sizes: [8689 8535]. Feature sizes: [227].
2025-06-07 03:30:34.792939: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.793080: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.793136: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.846808: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.846901: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.846960: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:901] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2025-06-07 03:30:34.847005: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1929] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 22282 MB memory: -> device: 0, name: NVIDIA GeForce RTX 4090, pci bus id: 0000:01:00.0, compute capability: 8.9
Set up config for model training#
[ ]:
import sys; sys.path.insert(0, '../../../../') # add parent folder path if not installed via PyPI
import scVAEIT
print(scVAEIT.__version__)
from scVAEIT import VAEIT
path_root = 'result/1/'
config = {
# Dimension of input features for [ADT]
'dim_input_arr': dim_input_arr,
# Blocks for [ADT]
'dim_block': dim_input_arr, # input dimension of blocks
'dist_block':['NB'], # distributions of blocks
'dim_block_enc':np.array([64]), # dimension of first layer of the encoder
'dim_block_dec':np.array([64]), # dimension of first layer of the decoder
'dim_block_embed':np.array([64]), # mask embedding dimension
# Internal network structure
'dimensions':[32], # dimension of latent layers of encoder; the reversed is used for decoder
'dim_latent':8, # the latent dimension between the encoder and decoder
# Weights
'beta_unobs':.9, # weight for masked out observation; weight for observed values will be 1-beta_unobs.
# Masking probability
'p_feat' : 0.5, # probability of randomly masking out an entry
}
batches_cate = batches
batches_cont = None
model = VAEIT(config, data, masks, None, batches_cate, batches_cont)
1.1.0
Missingness (overall): 0.0969
Missingness (per row): mean=0.0969, min=0.0969, max=0.0969
Missingness (per column): mean=0.0969, min=0.0000, max=1.0000
namespace(beta_kl=2.0, beta_unobs=0.9, beta_reverse=0.0, beta_modal=array([1.], dtype=float32), p_modal=None, p_feat=0.5, uni_block_names=array(['M-0'], dtype='<U23'), block_names=array(['M-0'], dtype='<U23'), dist_block=array(['NB'], dtype='<U2'), dim_block=array([227]), dim_block_enc=array([64], dtype=int32), dim_block_dec=array([64], dtype=int32), skip_conn=False, mean_vals=<tf.Tensor: shape=(227,), dtype=float32, numpy=
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0., 0., 0., 0., 0., 0.], dtype=float32)>, min_vals=<tf.Tensor: shape=(227,), dtype=float32, numpy=
array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
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0., 0., 0., 0., 0., 0.], dtype=float32)>, max_vals=<tf.Tensor: shape=(227,), dtype=float32, numpy=
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[4]:
# Here we only train for 500 epochs for illustration purpose
hist = model.train(
num_epoch=500, batch_size=512, save_every_epoch=50,
verbose=True, checkpoint_dir=path_root+'checkpoint/')
Deleting old log directory at example/result/1/checkpoint/
Train - Start of epoch 1
2025-06-07 03:30:39.943867: I external/local_xla/xla/service/service.cc:168] XLA service 0x61406a2ce140 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2025-06-07 03:30:39.943882: I external/local_xla/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 4090, Compute Capability 8.9
2025-06-07 03:30:39.946008: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2025-06-07 03:30:39.955276: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:454] Loaded cuDNN version 8907
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1749267039.994751 3916105 device_compiler.h:186] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.
WARNING:tensorflow:5 out of the last 5 calls to <function _BaseOptimizer._update_step_xla at 0x7a497061c5e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
WARNING:tensorflow:6 out of the last 6 calls to <function _BaseOptimizer._update_step_xla at 0x7a497061c5e0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.
33/33 [==============================] - 4s 124ms/step - Reconstructed Loss: 171.3155
Epoch 1, Time elapsed: 0.07 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 173.48, 43.38, 110.79, 19.32, 0.00
Train - Start of epoch 2
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 158.5779
Epoch 2, Time elapsed: 0.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 159.04, 42.21, 107.31, 9.51, 0.00
Train - Start of epoch 3
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 144.2766
Epoch 3, Time elapsed: 0.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 145.60, 40.78, 98.51, 6.31, 0.00
Train - Start of epoch 4
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 139.5740
Epoch 4, Time elapsed: 0.1 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 138.93, 39.55, 94.59, 4.78, 0.00
Train - Start of epoch 5
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 137.9410
Epoch 5, Time elapsed: 0.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 135.21, 38.44, 92.92, 3.85, 0.00
Train - Start of epoch 6
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 134.0527
Epoch 6, Time elapsed: 0.13 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 133.43, 37.40, 92.78, 3.25, 0.00
Train - Start of epoch 7
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 130.0421
Epoch 7, Time elapsed: 0.14 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 131.74, 36.63, 92.32, 2.78, 0.00
Train - Start of epoch 8
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 132.1991
Epoch 8, Time elapsed: 0.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 130.10, 36.20, 91.51, 2.39, 0.00
Train - Start of epoch 9
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 129.7294
Epoch 9, Time elapsed: 0.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 129.91, 35.94, 91.85, 2.11, 0.00
Train - Start of epoch 10
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 128.2362
Epoch 10, Time elapsed: 0.17 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 129.90, 35.78, 92.18, 1.93, 0.00
Train - Start of epoch 11
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 129.6483
Epoch 11, Time elapsed: 0.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 128.35, 35.67, 90.98, 1.70, 0.00
Train - Start of epoch 12
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 127.4194
Epoch 12, Time elapsed: 0.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 128.22, 35.58, 91.06, 1.58, 0.00
Train - Start of epoch 13
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 126.7368
Epoch 13, Time elapsed: 0.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 127.59, 35.49, 90.66, 1.44, 0.00
Train - Start of epoch 14
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 126.5028
Epoch 14, Time elapsed: 0.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 128.39, 35.43, 91.63, 1.34, 0.00
Train - Start of epoch 15
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 129.1981
Epoch 15, Time elapsed: 0.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 127.71, 35.35, 91.15, 1.21, 0.00
Train - Start of epoch 16
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 125.6997
Epoch 16, Time elapsed: 0.24 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 127.18, 35.28, 90.75, 1.14, 0.00
Train - Start of epoch 17
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 126.8354
Epoch 17, Time elapsed: 0.25 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 126.46, 35.24, 90.17, 1.05, 0.00
Train - Start of epoch 18
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 125.4298
Epoch 18, Time elapsed: 0.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 125.38, 35.19, 89.23, 0.97, 0.00
Train - Start of epoch 19
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 128.5717
Epoch 19, Time elapsed: 0.27 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 127.62, 35.13, 91.55, 0.93, 0.00
Train - Start of epoch 20
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 125.6421
Epoch 20, Time elapsed: 0.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 124.93, 35.06, 89.02, 0.85, 0.00
Train - Start of epoch 21
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 124.7956
Epoch 21, Time elapsed: 0.3 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 125.33, 35.02, 89.51, 0.80, 0.00
Train - Start of epoch 22
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 126.4474
Epoch 22, Time elapsed: 0.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 126.01, 34.97, 90.28, 0.77, 0.00
Train - Start of epoch 23
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 126.3788
Epoch 23, Time elapsed: 0.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 125.58, 34.91, 89.94, 0.72, 0.00
Train - Start of epoch 24
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 124.2403
Epoch 24, Time elapsed: 0.33 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 126.03, 34.86, 90.48, 0.69, 0.00
Train - Start of epoch 25
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 124.5766
Epoch 25, Time elapsed: 0.34 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 125.40, 34.81, 89.95, 0.65, 0.00
Train - Start of epoch 26
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 126.9928
Epoch 26, Time elapsed: 0.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 124.71, 34.77, 89.35, 0.60, 0.00
Train - Start of epoch 27
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 125.3782
Epoch 27, Time elapsed: 0.36 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 125.19, 34.71, 89.91, 0.58, 0.00
Train - Start of epoch 28
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 124.3151
Epoch 28, Time elapsed: 0.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 124.42, 34.66, 89.23, 0.53, 0.00
Train - Start of epoch 29
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 127.7664
Epoch 29, Time elapsed: 0.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.30, 34.62, 88.17, 0.51, 0.00
Train - Start of epoch 30
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 125.5334
Epoch 30, Time elapsed: 0.4 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 124.02, 34.57, 88.96, 0.50, 0.00
Train - Start of epoch 31
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 125.7611
Epoch 31, Time elapsed: 0.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.78, 34.52, 88.80, 0.47, 0.00
Train - Start of epoch 32
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 123.8546
Epoch 32, Time elapsed: 0.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.59, 34.47, 88.67, 0.44, 0.00
Train - Start of epoch 33
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 120.9781
Epoch 33, Time elapsed: 0.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.25, 34.43, 88.40, 0.42, 0.00
Train - Start of epoch 34
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 122.2727
Epoch 34, Time elapsed: 0.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.22, 34.39, 88.43, 0.40, 0.00
Train - Start of epoch 35
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 118.7903
Epoch 35, Time elapsed: 0.45 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.31, 34.35, 87.58, 0.38, 0.00
Train - Start of epoch 36
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 122.3575
Epoch 36, Time elapsed: 0.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.45, 34.30, 87.79, 0.36, 0.00
Train - Start of epoch 37
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 126.7639
Epoch 37, Time elapsed: 0.47 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.77, 34.25, 88.16, 0.35, 0.00
Train - Start of epoch 38
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 124.7067
Epoch 38, Time elapsed: 0.48 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.92, 34.21, 88.37, 0.34, 0.00
Train - Start of epoch 39
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 124.0907
Epoch 39, Time elapsed: 0.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.40, 34.16, 87.91, 0.33, 0.00
Train - Start of epoch 40
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 123.9670
Epoch 40, Time elapsed: 0.51 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.76, 34.12, 88.32, 0.32, 0.00
Train - Start of epoch 41
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 119.7642
Epoch 41, Time elapsed: 0.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 121.75, 34.08, 87.37, 0.30, 0.00
Train - Start of epoch 42
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 121.4544
Epoch 42, Time elapsed: 0.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 123.14, 34.04, 88.80, 0.30, 0.00
Train - Start of epoch 43
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.9248
Epoch 43, Time elapsed: 0.54 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.10, 34.00, 87.82, 0.29, 0.00
Train - Start of epoch 44
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 124.2976
Epoch 44, Time elapsed: 0.55 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 122.59, 33.96, 88.35, 0.28, 0.00
Train - Start of epoch 45
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.3003
Epoch 45, Time elapsed: 0.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.90, 33.92, 86.71, 0.27, 0.00
Train - Start of epoch 46
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 118.9301
Epoch 46, Time elapsed: 0.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 121.37, 33.88, 87.21, 0.27, 0.00
Train - Start of epoch 47
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 119.9671
Epoch 47, Time elapsed: 0.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 121.12, 33.85, 87.01, 0.27, 0.00
Train - Start of epoch 48
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 120.1739
Epoch 48, Time elapsed: 0.6 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.48, 33.80, 86.43, 0.26, 0.00
Train - Start of epoch 49
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 118.6926
Epoch 49, Time elapsed: 0.61 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.72, 33.76, 85.71, 0.25, 0.00
Train - Start of epoch 50
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 118.9585
Epoch 50, Time elapsed: 0.62 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.77, 33.72, 85.81, 0.25, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=50>
Saved checkpoint for epoch 50: example/result/1/checkpoint/ckpt-1
Train - Start of epoch 51
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 122.0468
Epoch 51, Time elapsed: 0.63 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.39, 33.69, 85.46, 0.25, 0.00
Train - Start of epoch 52
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.4857
Epoch 52, Time elapsed: 0.64 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.26, 33.66, 86.36, 0.25, 0.00
Train - Start of epoch 53
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 118.9868
Epoch 53, Time elapsed: 0.65 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.81, 33.61, 85.96, 0.24, 0.00
Train - Start of epoch 54
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 121.5600
Epoch 54, Time elapsed: 0.66 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.12, 33.57, 86.31, 0.24, 0.00
Train - Start of epoch 55
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.0374
Epoch 55, Time elapsed: 0.67 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.47, 33.54, 85.69, 0.24, 0.00
Train - Start of epoch 56
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.5255
Epoch 56, Time elapsed: 0.68 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.64, 33.50, 86.90, 0.24, 0.00
Train - Start of epoch 57
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 119.0765
Epoch 57, Time elapsed: 0.7 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 120.15, 33.46, 86.45, 0.24, 0.00
Train - Start of epoch 58
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 118.2422
Epoch 58, Time elapsed: 0.71 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.67, 33.42, 85.02, 0.23, 0.00
Train - Start of epoch 59
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.3608
Epoch 59, Time elapsed: 0.72 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.31, 33.39, 85.69, 0.23, 0.00
Train - Start of epoch 60
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.8585
Epoch 60, Time elapsed: 0.73 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.27, 33.35, 85.69, 0.23, 0.00
Train - Start of epoch 61
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 118.6477
Epoch 61, Time elapsed: 0.74 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.01, 33.32, 85.45, 0.23, 0.00
Train - Start of epoch 62
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 117.1179
Epoch 62, Time elapsed: 0.75 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 119.29, 33.28, 85.78, 0.23, 0.00
Train - Start of epoch 63
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 119.9902
Epoch 63, Time elapsed: 0.76 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.76, 33.26, 85.27, 0.24, 0.00
Train - Start of epoch 64
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 121.4701
Epoch 64, Time elapsed: 0.77 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.47, 33.22, 85.03, 0.22, 0.00
Train - Start of epoch 65
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.8225
Epoch 65, Time elapsed: 0.78 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.86, 33.20, 85.43, 0.23, 0.00
Train - Start of epoch 66
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 118.8671
Epoch 66, Time elapsed: 0.79 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.55, 33.15, 85.17, 0.23, 0.00
Train - Start of epoch 67
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 117.6484
Epoch 67, Time elapsed: 0.81 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.71, 33.12, 85.36, 0.23, 0.00
Train - Start of epoch 68
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 119.9052
Epoch 68, Time elapsed: 0.82 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.87, 33.09, 84.54, 0.23, 0.00
Train - Start of epoch 69
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 116.7637
Epoch 69, Time elapsed: 0.83 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.58, 33.05, 85.29, 0.24, 0.00
Train - Start of epoch 70
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.7096
Epoch 70, Time elapsed: 0.84 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.24, 33.02, 83.99, 0.23, 0.00
Train - Start of epoch 71
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 118.8172
Epoch 71, Time elapsed: 0.85 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 118.11, 32.99, 84.89, 0.24, 0.00
Train - Start of epoch 72
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.6972
Epoch 72, Time elapsed: 0.86 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.18, 32.96, 83.99, 0.23, 0.00
Train - Start of epoch 73
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.2755
Epoch 73, Time elapsed: 0.87 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.24, 32.91, 84.09, 0.24, 0.00
Train - Start of epoch 74
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 117.8556
Epoch 74, Time elapsed: 0.88 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.62, 32.88, 84.49, 0.25, 0.00
Train - Start of epoch 75
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.6626
Epoch 75, Time elapsed: 0.89 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.68, 32.85, 84.58, 0.25, 0.00
Train - Start of epoch 76
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.2000
Epoch 76, Time elapsed: 0.9 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.90, 32.82, 83.83, 0.25, 0.00
Train - Start of epoch 77
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 118.2029
Epoch 77, Time elapsed: 0.91 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.76, 32.79, 84.72, 0.25, 0.00
Train - Start of epoch 78
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 119.9421
Epoch 78, Time elapsed: 0.92 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.89, 32.76, 83.88, 0.25, 0.00
Train - Start of epoch 79
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.8212
Epoch 79, Time elapsed: 0.94 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.32, 32.73, 83.35, 0.25, 0.00
Train - Start of epoch 80
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 115.8961
Epoch 80, Time elapsed: 0.95 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.65, 32.71, 83.69, 0.25, 0.00
Train - Start of epoch 81
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 117.0792
Epoch 81, Time elapsed: 0.96 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.45, 32.67, 83.53, 0.25, 0.00
Train - Start of epoch 82
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 117.8617
Epoch 82, Time elapsed: 0.97 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.88, 32.63, 83.99, 0.26, 0.00
Train - Start of epoch 83
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 114.8141
Epoch 83, Time elapsed: 0.98 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.98, 32.61, 84.11, 0.26, 0.00
Train - Start of epoch 84
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 117.4103
Epoch 84, Time elapsed: 0.99 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.63, 32.58, 83.79, 0.26, 0.00
Train - Start of epoch 85
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 117.6548
Epoch 85, Time elapsed: 1.0 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 117.47, 32.55, 84.66, 0.27, 0.00
Train - Start of epoch 86
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 119.0080
Epoch 86, Time elapsed: 1.01 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.60, 32.52, 83.82, 0.26, 0.00
Train - Start of epoch 87
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 117.8595
Epoch 87, Time elapsed: 1.02 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.36, 32.49, 83.60, 0.26, 0.00
Train - Start of epoch 88
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.5206
Epoch 88, Time elapsed: 1.03 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.68, 32.46, 82.96, 0.26, 0.00
Train - Start of epoch 89
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 115.6416
Epoch 89, Time elapsed: 1.04 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.01, 32.45, 83.30, 0.26, 0.00
Train - Start of epoch 90
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.3157
Epoch 90, Time elapsed: 1.05 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.16, 32.42, 83.47, 0.27, 0.00
Train - Start of epoch 91
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.8305
Epoch 91, Time elapsed: 1.06 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.94, 32.39, 82.30, 0.26, 0.00
Train - Start of epoch 92
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 117.3517
Epoch 92, Time elapsed: 1.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 116.41, 32.37, 83.79, 0.26, 0.00
Train - Start of epoch 93
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.0324
Epoch 93, Time elapsed: 1.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.29, 32.34, 82.70, 0.26, 0.00
Train - Start of epoch 94
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.0800
Epoch 94, Time elapsed: 1.1 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.94, 32.31, 82.37, 0.26, 0.00
Train - Start of epoch 95
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 116.5970
Epoch 95, Time elapsed: 1.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.01, 32.28, 82.46, 0.26, 0.00
Train - Start of epoch 96
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 115.6567
Epoch 96, Time elapsed: 1.12 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.76, 32.27, 82.23, 0.26, 0.00
Train - Start of epoch 97
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.7535
Epoch 97, Time elapsed: 1.13 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.73, 32.24, 82.22, 0.26, 0.00
Train - Start of epoch 98
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.1353
Epoch 98, Time elapsed: 1.14 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.64, 32.22, 83.15, 0.27, 0.00
Train - Start of epoch 99
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.1621
Epoch 99, Time elapsed: 1.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.01, 32.19, 81.57, 0.26, 0.00
Train - Start of epoch 100
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 116.2449
Epoch 100, Time elapsed: 1.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.17, 32.17, 82.73, 0.27, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=100>
Saved checkpoint for epoch 100: example/result/1/checkpoint/ckpt-2
Train - Start of epoch 101
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 112.4390
Epoch 101, Time elapsed: 1.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.34, 32.15, 81.93, 0.26, 0.00
Train - Start of epoch 102
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.1961
Epoch 102, Time elapsed: 1.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.95, 32.12, 82.57, 0.26, 0.00
Train - Start of epoch 103
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.3780
Epoch 103, Time elapsed: 1.2 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.82, 32.10, 82.46, 0.27, 0.00
Train - Start of epoch 104
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 114.4899
Epoch 104, Time elapsed: 1.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 115.12, 32.08, 82.77, 0.27, 0.00
Train - Start of epoch 105
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.9561
Epoch 105, Time elapsed: 1.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.02, 32.06, 81.70, 0.27, 0.00
Train - Start of epoch 106
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.6392
Epoch 106, Time elapsed: 1.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.70, 32.03, 82.40, 0.27, 0.00
Train - Start of epoch 107
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.4016
Epoch 107, Time elapsed: 1.24 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.63, 32.01, 82.35, 0.27, 0.00
Train - Start of epoch 108
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.4332
Epoch 108, Time elapsed: 1.25 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.15, 31.99, 81.89, 0.27, 0.00
Train - Start of epoch 109
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.8682
Epoch 109, Time elapsed: 1.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.79, 31.98, 82.54, 0.27, 0.00
Train - Start of epoch 110
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.9813
Epoch 110, Time elapsed: 1.28 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.61, 31.95, 81.39, 0.27, 0.00
Train - Start of epoch 111
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 111.5972
Epoch 111, Time elapsed: 1.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.41, 31.93, 81.20, 0.27, 0.00
Train - Start of epoch 112
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.4755
Epoch 112, Time elapsed: 1.3 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.44, 31.91, 82.25, 0.28, 0.00
Train - Start of epoch 113
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.2961
Epoch 113, Time elapsed: 1.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.48, 31.89, 82.31, 0.28, 0.00
Train - Start of epoch 114
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.2637
Epoch 114, Time elapsed: 1.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.81, 31.87, 81.67, 0.27, 0.00
Train - Start of epoch 115
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.7614
Epoch 115, Time elapsed: 1.33 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.79, 31.85, 81.67, 0.27, 0.00
Train - Start of epoch 116
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 115.1025
Epoch 116, Time elapsed: 1.34 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.71, 31.83, 82.60, 0.28, 0.00
Train - Start of epoch 117
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 116.3380
Epoch 117, Time elapsed: 1.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.98, 31.80, 82.89, 0.28, 0.00
Train - Start of epoch 118
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.4666
Epoch 118, Time elapsed: 1.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.77, 31.79, 81.70, 0.28, 0.00
Train - Start of epoch 119
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.5265
Epoch 119, Time elapsed: 1.38 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.73, 31.78, 81.67, 0.28, 0.00
Train - Start of epoch 120
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.7024
Epoch 120, Time elapsed: 1.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.93, 31.76, 81.89, 0.28, 0.00
Train - Start of epoch 121
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.0090
Epoch 121, Time elapsed: 1.4 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 114.03, 31.73, 82.02, 0.28, 0.00
Train - Start of epoch 122
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.1717
Epoch 122, Time elapsed: 1.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.43, 31.72, 81.43, 0.28, 0.00
Train - Start of epoch 123
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 115.3389
Epoch 123, Time elapsed: 1.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.05, 31.69, 81.08, 0.28, 0.00
Train - Start of epoch 124
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 112.1184
Epoch 124, Time elapsed: 1.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.24, 31.70, 81.25, 0.28, 0.00
Train - Start of epoch 125
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0860
Epoch 125, Time elapsed: 1.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.47, 31.66, 81.51, 0.30, 0.00
Train - Start of epoch 126
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 115.1902
Epoch 126, Time elapsed: 1.45 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.64, 31.64, 80.71, 0.28, 0.00
Train - Start of epoch 127
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.3545
Epoch 127, Time elapsed: 1.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.96, 31.63, 81.04, 0.29, 0.00
Train - Start of epoch 128
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.2465
Epoch 128, Time elapsed: 1.48 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.86, 31.61, 80.96, 0.29, 0.00
Train - Start of epoch 129
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.9431
Epoch 129, Time elapsed: 1.49 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.16, 31.59, 81.28, 0.29, 0.00
Train - Start of epoch 130
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 112.9269
Epoch 130, Time elapsed: 1.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.30, 31.58, 80.43, 0.29, 0.00
Train - Start of epoch 131
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.8611
Epoch 131, Time elapsed: 1.51 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.62, 31.56, 80.77, 0.29, 0.00
Train - Start of epoch 132
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 115.1162
Epoch 132, Time elapsed: 1.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.92, 31.55, 81.07, 0.30, 0.00
Train - Start of epoch 133
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.6734
Epoch 133, Time elapsed: 1.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.57, 31.53, 80.74, 0.30, 0.00
Train - Start of epoch 134
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.3388
Epoch 134, Time elapsed: 1.54 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.21, 31.51, 80.40, 0.30, 0.00
Train - Start of epoch 135
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.1643
Epoch 135, Time elapsed: 1.55 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.34, 31.49, 80.55, 0.30, 0.00
Train - Start of epoch 136
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.8338
Epoch 136, Time elapsed: 1.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.45, 31.48, 79.67, 0.30, 0.00
Train - Start of epoch 137
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.8117
Epoch 137, Time elapsed: 1.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.11, 31.46, 81.34, 0.31, 0.00
Train - Start of epoch 138
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.0848
Epoch 138, Time elapsed: 1.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 113.92, 31.46, 82.15, 0.31, 0.00
Train - Start of epoch 139
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.8561
Epoch 139, Time elapsed: 1.6 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.96, 31.44, 81.21, 0.31, 0.00
Train - Start of epoch 140
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.8231
Epoch 140, Time elapsed: 1.61 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.25, 31.42, 80.52, 0.30, 0.00
Train - Start of epoch 141
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.1862
Epoch 141, Time elapsed: 1.62 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.87, 31.40, 81.14, 0.32, 0.00
Train - Start of epoch 142
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.3623
Epoch 142, Time elapsed: 1.63 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.70, 31.40, 81.00, 0.31, 0.00
Train - Start of epoch 143
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0258
Epoch 143, Time elapsed: 1.64 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.24, 31.38, 80.55, 0.31, 0.00
Train - Start of epoch 144
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.9552
Epoch 144, Time elapsed: 1.65 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.07, 31.36, 80.40, 0.32, 0.00
Train - Start of epoch 145
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.1607
Epoch 145, Time elapsed: 1.66 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.70, 31.34, 81.05, 0.31, 0.00
Train - Start of epoch 146
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 114.4515
Epoch 146, Time elapsed: 1.67 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.16, 31.34, 80.50, 0.32, 0.00
Train - Start of epoch 147
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 111.4056
Epoch 147, Time elapsed: 1.68 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.64, 31.32, 80.99, 0.32, 0.00
Train - Start of epoch 148
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.3094
Epoch 148, Time elapsed: 1.69 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.71, 31.30, 80.08, 0.32, 0.00
Train - Start of epoch 149
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.7972
Epoch 149, Time elapsed: 1.7 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.80, 31.29, 80.19, 0.32, 0.00
Train - Start of epoch 150
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.1099
Epoch 150, Time elapsed: 1.71 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.11, 31.28, 80.51, 0.32, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=150>
Saved checkpoint for epoch 150: example/result/1/checkpoint/ckpt-3
Train - Start of epoch 151
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.8522
Epoch 151, Time elapsed: 1.73 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.77, 31.27, 80.17, 0.33, 0.00
Train - Start of epoch 152
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.2904
Epoch 152, Time elapsed: 1.74 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.26, 31.25, 79.70, 0.32, 0.00
Train - Start of epoch 153
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.6306
Epoch 153, Time elapsed: 1.75 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.64, 31.24, 80.08, 0.32, 0.00
Train - Start of epoch 154
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.1582
Epoch 154, Time elapsed: 1.76 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.21, 31.23, 80.66, 0.33, 0.00
Train - Start of epoch 155
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.5797
Epoch 155, Time elapsed: 1.78 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.52, 31.22, 80.97, 0.34, 0.00
Train - Start of epoch 156
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 111.2142
Epoch 156, Time elapsed: 1.79 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.77, 31.20, 80.24, 0.33, 0.00
Train - Start of epoch 157
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.4044
Epoch 157, Time elapsed: 1.8 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.84, 31.20, 79.31, 0.33, 0.00
Train - Start of epoch 158
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.6898
Epoch 158, Time elapsed: 1.81 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.61, 31.17, 81.10, 0.34, 0.00
Train - Start of epoch 159
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.9816
Epoch 159, Time elapsed: 1.82 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.17, 31.17, 79.67, 0.33, 0.00
Train - Start of epoch 160
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.8427
Epoch 160, Time elapsed: 1.83 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.45, 31.15, 79.97, 0.34, 0.00
Train - Start of epoch 161
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.8682
Epoch 161, Time elapsed: 1.84 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.40, 31.15, 80.92, 0.34, 0.00
Train - Start of epoch 162
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.0433
Epoch 162, Time elapsed: 1.85 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.33, 31.13, 79.88, 0.33, 0.00
Train - Start of epoch 163
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.8562
Epoch 163, Time elapsed: 1.86 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.13, 31.13, 80.65, 0.35, 0.00
Train - Start of epoch 164
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.2820
Epoch 164, Time elapsed: 1.87 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.06, 31.11, 80.60, 0.34, 0.00
Train - Start of epoch 165
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.2870
Epoch 165, Time elapsed: 1.88 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.26, 31.11, 80.80, 0.35, 0.00
Train - Start of epoch 166
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.9424
Epoch 166, Time elapsed: 1.9 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.33, 31.08, 79.90, 0.35, 0.00
Train - Start of epoch 167
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.7339
Epoch 167, Time elapsed: 1.91 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.44, 31.08, 80.02, 0.34, 0.00
Train - Start of epoch 168
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.3274
Epoch 168, Time elapsed: 1.92 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.30, 31.07, 79.89, 0.35, 0.00
Train - Start of epoch 169
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.3039
Epoch 169, Time elapsed: 1.93 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.93, 31.06, 79.53, 0.34, 0.00
Train - Start of epoch 170
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.5911
Epoch 170, Time elapsed: 1.94 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.52, 31.04, 79.13, 0.35, 0.00
Train - Start of epoch 171
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4951
Epoch 171, Time elapsed: 1.95 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.62, 31.03, 80.25, 0.35, 0.00
Train - Start of epoch 172
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.1012
Epoch 172, Time elapsed: 1.96 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.07, 31.03, 79.70, 0.34, 0.00
Train - Start of epoch 173
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.3656
Epoch 173, Time elapsed: 1.97 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.69, 31.01, 80.33, 0.35, 0.00
Train - Start of epoch 174
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.5393
Epoch 174, Time elapsed: 1.98 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 112.01, 31.00, 80.66, 0.35, 0.00
Train - Start of epoch 175
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.1437
Epoch 175, Time elapsed: 1.99 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.07, 30.99, 79.72, 0.35, 0.00
Train - Start of epoch 176
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.1342
Epoch 176, Time elapsed: 2.0 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.76, 30.98, 79.43, 0.35, 0.00
Train - Start of epoch 177
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.5907
Epoch 177, Time elapsed: 2.01 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.93, 30.97, 79.60, 0.36, 0.00
Train - Start of epoch 178
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.0553
Epoch 178, Time elapsed: 2.03 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.69, 30.95, 79.38, 0.35, 0.00
Train - Start of epoch 179
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 111.7456
Epoch 179, Time elapsed: 2.04 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.99, 30.95, 79.69, 0.36, 0.00
Train - Start of epoch 180
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.9738
Epoch 180, Time elapsed: 2.05 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.65, 30.94, 78.35, 0.35, 0.00
Train - Start of epoch 181
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.5337
Epoch 181, Time elapsed: 2.06 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.65, 30.93, 80.35, 0.36, 0.00
Train - Start of epoch 182
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.7615
Epoch 182, Time elapsed: 2.07 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.65, 30.92, 79.38, 0.36, 0.00
Train - Start of epoch 183
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 114.1574
Epoch 183, Time elapsed: 2.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.34, 30.91, 79.06, 0.36, 0.00
Train - Start of epoch 184
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.5244
Epoch 184, Time elapsed: 2.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.32, 30.91, 80.05, 0.36, 0.00
Train - Start of epoch 185
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.8736
Epoch 185, Time elapsed: 2.1 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.86, 30.89, 78.63, 0.34, 0.00
Train - Start of epoch 186
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.4427
Epoch 186, Time elapsed: 2.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.99, 30.89, 79.73, 0.36, 0.00
Train - Start of epoch 187
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.4764
Epoch 187, Time elapsed: 2.12 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.09, 30.88, 79.85, 0.36, 0.00
Train - Start of epoch 188
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 112.2364
Epoch 188, Time elapsed: 2.14 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.73, 30.87, 79.49, 0.37, 0.00
Train - Start of epoch 189
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.2221
Epoch 189, Time elapsed: 2.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.63, 30.86, 79.41, 0.36, 0.00
Train - Start of epoch 190
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.6926
Epoch 190, Time elapsed: 2.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.01, 30.85, 78.80, 0.36, 0.00
Train - Start of epoch 191
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.7747
Epoch 191, Time elapsed: 2.17 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.77, 30.84, 78.57, 0.36, 0.00
Train - Start of epoch 192
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.4256
Epoch 192, Time elapsed: 2.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.76, 30.83, 79.56, 0.36, 0.00
Train - Start of epoch 193
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.8363
Epoch 193, Time elapsed: 2.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.90, 30.83, 79.70, 0.36, 0.00
Train - Start of epoch 194
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.3522
Epoch 194, Time elapsed: 2.2 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.17, 30.81, 79.00, 0.36, 0.00
Train - Start of epoch 195
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.9293
Epoch 195, Time elapsed: 2.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.83, 30.82, 78.64, 0.37, 0.00
Train - Start of epoch 196
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.4416
Epoch 196, Time elapsed: 2.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.76, 30.80, 79.59, 0.37, 0.00
Train - Start of epoch 197
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.5574
Epoch 197, Time elapsed: 2.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.13, 30.80, 78.96, 0.37, 0.00
Train - Start of epoch 198
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.0204
Epoch 198, Time elapsed: 2.24 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.22, 30.79, 79.07, 0.37, 0.00
Train - Start of epoch 199
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.0216
Epoch 199, Time elapsed: 2.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.50, 30.79, 78.35, 0.36, 0.00
Train - Start of epoch 200
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.6561
Epoch 200, Time elapsed: 2.27 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.33, 30.77, 79.18, 0.37, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=200>
Saved checkpoint for epoch 200: example/result/1/checkpoint/ckpt-4
Train - Start of epoch 201
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.4973
Epoch 201, Time elapsed: 2.28 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 111.15, 30.77, 80.01, 0.37, 0.00
Train - Start of epoch 202
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.0953
Epoch 202, Time elapsed: 2.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.91, 30.76, 78.77, 0.38, 0.00
Train - Start of epoch 203
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.6169
Epoch 203, Time elapsed: 2.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.25, 30.75, 79.12, 0.37, 0.00
Train - Start of epoch 204
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.9621
Epoch 204, Time elapsed: 2.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.45, 30.74, 79.34, 0.38, 0.00
Train - Start of epoch 205
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.4266
Epoch 205, Time elapsed: 2.33 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.42, 30.74, 79.32, 0.36, 0.00
Train - Start of epoch 206
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.3959
Epoch 206, Time elapsed: 2.34 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.55, 30.73, 78.45, 0.37, 0.00
Train - Start of epoch 207
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 112.1450
Epoch 207, Time elapsed: 2.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.57, 30.72, 78.47, 0.38, 0.00
Train - Start of epoch 208
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 109.7635
Epoch 208, Time elapsed: 2.36 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.40, 30.72, 78.31, 0.37, 0.00
Train - Start of epoch 209
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.9871
Epoch 209, Time elapsed: 2.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.68, 30.71, 79.61, 0.37, 0.00
Train - Start of epoch 210
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.7598
Epoch 210, Time elapsed: 2.38 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.08, 30.70, 79.00, 0.37, 0.00
Train - Start of epoch 211
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.3737
Epoch 211, Time elapsed: 2.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.68, 30.69, 79.61, 0.38, 0.00
Train - Start of epoch 212
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.2914
Epoch 212, Time elapsed: 2.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.31, 30.69, 78.25, 0.37, 0.00
Train - Start of epoch 213
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.5276
Epoch 213, Time elapsed: 2.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.61, 30.69, 78.55, 0.37, 0.00
Train - Start of epoch 214
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.3964
Epoch 214, Time elapsed: 2.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.91, 30.68, 78.86, 0.38, 0.00
Train - Start of epoch 215
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.2355
Epoch 215, Time elapsed: 2.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.50, 30.67, 78.46, 0.38, 0.00
Train - Start of epoch 216
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.5943
Epoch 216, Time elapsed: 2.45 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.19, 30.67, 79.14, 0.38, 0.00
Train - Start of epoch 217
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.2405
Epoch 217, Time elapsed: 2.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.92, 30.65, 78.88, 0.38, 0.00
Train - Start of epoch 218
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.9419
Epoch 218, Time elapsed: 2.47 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.83, 30.65, 78.79, 0.39, 0.00
Train - Start of epoch 219
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 109.1077
Epoch 219, Time elapsed: 2.48 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.16, 30.65, 79.13, 0.37, 0.00
Train - Start of epoch 220
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.4767
Epoch 220, Time elapsed: 2.49 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.00, 30.64, 78.99, 0.38, 0.00
Train - Start of epoch 221
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.2865
Epoch 221, Time elapsed: 2.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.80, 30.63, 78.79, 0.38, 0.00
Train - Start of epoch 222
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.7011
Epoch 222, Time elapsed: 2.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.63, 30.62, 78.63, 0.38, 0.00
Train - Start of epoch 223
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 110.0908
Epoch 223, Time elapsed: 2.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.60, 30.62, 77.61, 0.37, 0.00
Train - Start of epoch 224
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 113.4718
Epoch 224, Time elapsed: 2.54 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.20, 30.62, 79.20, 0.38, 0.00
Train - Start of epoch 225
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.6358
Epoch 225, Time elapsed: 2.55 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.68, 30.61, 78.69, 0.38, 0.00
Train - Start of epoch 226
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.6435
Epoch 226, Time elapsed: 2.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.68, 30.62, 78.67, 0.39, 0.00
Train - Start of epoch 227
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.4259
Epoch 227, Time elapsed: 2.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.20, 30.60, 78.22, 0.38, 0.00
Train - Start of epoch 228
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.5905
Epoch 228, Time elapsed: 2.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.75, 30.59, 77.78, 0.38, 0.00
Train - Start of epoch 229
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0934
Epoch 229, Time elapsed: 2.59 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.31, 30.58, 78.34, 0.38, 0.00
Train - Start of epoch 230
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.8240
Epoch 230, Time elapsed: 2.6 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.37, 30.59, 78.40, 0.38, 0.00
Train - Start of epoch 231
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.9864
Epoch 231, Time elapsed: 2.62 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.04, 30.58, 79.07, 0.38, 0.00
Train - Start of epoch 232
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.3212
Epoch 232, Time elapsed: 2.63 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.10, 30.57, 79.15, 0.38, 0.00
Train - Start of epoch 233
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 110.9770
Epoch 233, Time elapsed: 2.64 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.25, 30.57, 78.31, 0.38, 0.00
Train - Start of epoch 234
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.0920
Epoch 234, Time elapsed: 2.65 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.47, 30.57, 78.51, 0.39, 0.00
Train - Start of epoch 235
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.2999
Epoch 235, Time elapsed: 2.66 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.14, 30.56, 78.20, 0.38, 0.00
Train - Start of epoch 236
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.3834
Epoch 236, Time elapsed: 2.67 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.36, 30.55, 78.43, 0.38, 0.00
Train - Start of epoch 237
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.2122
Epoch 237, Time elapsed: 2.68 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.23, 30.55, 78.29, 0.39, 0.00
Train - Start of epoch 238
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 113.8301
Epoch 238, Time elapsed: 2.69 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.37, 30.53, 79.44, 0.39, 0.00
Train - Start of epoch 239
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.5192
Epoch 239, Time elapsed: 2.7 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.56, 30.53, 78.64, 0.39, 0.00
Train - Start of epoch 240
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.2867
Epoch 240, Time elapsed: 2.71 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.37, 30.53, 78.44, 0.39, 0.00
Train - Start of epoch 241
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.3461
Epoch 241, Time elapsed: 2.72 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.06, 30.53, 78.14, 0.38, 0.00
Train - Start of epoch 242
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.7599
Epoch 242, Time elapsed: 2.73 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.87, 30.52, 78.97, 0.38, 0.00
Train - Start of epoch 243
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.7315
Epoch 243, Time elapsed: 2.75 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.13, 30.52, 78.23, 0.38, 0.00
Train - Start of epoch 244
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.3523
Epoch 244, Time elapsed: 2.76 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.44, 30.51, 78.54, 0.39, 0.00
Train - Start of epoch 245
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.6781
Epoch 245, Time elapsed: 2.77 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.33, 30.51, 78.43, 0.39, 0.00
Train - Start of epoch 246
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.4270
Epoch 246, Time elapsed: 2.78 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.22, 30.50, 78.32, 0.39, 0.00
Train - Start of epoch 247
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.8222
Epoch 247, Time elapsed: 2.79 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.35, 30.50, 78.47, 0.38, 0.00
Train - Start of epoch 248
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.4880
Epoch 248, Time elapsed: 2.8 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.12, 30.49, 77.24, 0.38, 0.00
Train - Start of epoch 249
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0261
Epoch 249, Time elapsed: 2.81 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.47, 30.50, 77.59, 0.39, 0.00
Train - Start of epoch 250
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.4362
Epoch 250, Time elapsed: 2.82 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.24, 30.49, 79.35, 0.40, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=250>
Saved checkpoint for epoch 250: example/result/1/checkpoint/ckpt-5
Train - Start of epoch 251
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.0446
Epoch 251, Time elapsed: 2.84 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.92, 30.49, 78.06, 0.38, 0.00
Train - Start of epoch 252
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.5697
Epoch 252, Time elapsed: 2.85 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.30, 30.48, 79.42, 0.39, 0.00
Train - Start of epoch 253
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.0826
Epoch 253, Time elapsed: 2.86 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.11, 30.48, 78.24, 0.39, 0.00
Train - Start of epoch 254
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.3815
Epoch 254, Time elapsed: 2.87 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 110.72, 30.47, 79.86, 0.39, 0.00
Train - Start of epoch 255
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.1769
Epoch 255, Time elapsed: 2.88 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.86, 30.47, 78.01, 0.39, 0.00
Train - Start of epoch 256
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.5549
Epoch 256, Time elapsed: 2.89 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.19, 30.47, 78.34, 0.39, 0.00
Train - Start of epoch 257
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.2680
Epoch 257, Time elapsed: 2.9 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.24, 30.46, 78.40, 0.38, 0.00
Train - Start of epoch 258
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.7545
Epoch 258, Time elapsed: 2.91 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.30, 30.45, 78.45, 0.39, 0.00
Train - Start of epoch 259
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.6938
Epoch 259, Time elapsed: 2.93 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.80, 30.45, 78.95, 0.40, 0.00
Train - Start of epoch 260
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.5730
Epoch 260, Time elapsed: 2.94 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.24, 30.45, 78.40, 0.38, 0.00
Train - Start of epoch 261
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.2989
Epoch 261, Time elapsed: 2.95 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.37, 30.44, 78.54, 0.40, 0.00
Train - Start of epoch 262
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.2245
Epoch 262, Time elapsed: 2.96 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.47, 30.44, 78.65, 0.39, 0.00
Train - Start of epoch 263
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.0889
Epoch 263, Time elapsed: 2.97 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.40, 30.44, 78.56, 0.39, 0.00
Train - Start of epoch 264
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.9662
Epoch 264, Time elapsed: 2.98 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.03, 30.43, 78.21, 0.39, 0.00
Train - Start of epoch 265
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.0962
Epoch 265, Time elapsed: 2.99 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.76, 30.42, 77.96, 0.39, 0.00
Train - Start of epoch 266
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.2125
Epoch 266, Time elapsed: 3.0 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.94, 30.42, 78.12, 0.39, 0.00
Train - Start of epoch 267
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.6782
Epoch 267, Time elapsed: 3.01 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.74, 30.42, 77.94, 0.39, 0.00
Train - Start of epoch 268
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.6552
Epoch 268, Time elapsed: 3.02 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.43, 30.42, 77.62, 0.39, 0.00
Train - Start of epoch 269
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.4176
Epoch 269, Time elapsed: 3.03 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.14, 30.41, 78.33, 0.40, 0.00
Train - Start of epoch 270
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.9324
Epoch 270, Time elapsed: 3.04 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.60, 30.40, 78.81, 0.39, 0.00
Train - Start of epoch 271
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 109.4855
Epoch 271, Time elapsed: 3.06 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.18, 30.41, 78.38, 0.39, 0.00
Train - Start of epoch 272
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.9244
Epoch 272, Time elapsed: 3.07 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.47, 30.39, 78.68, 0.39, 0.00
Train - Start of epoch 273
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.5132
Epoch 273, Time elapsed: 3.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.95, 30.40, 78.16, 0.39, 0.00
Train - Start of epoch 274
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.1139
Epoch 274, Time elapsed: 3.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.34, 30.39, 77.57, 0.38, 0.00
Train - Start of epoch 275
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.5228
Epoch 275, Time elapsed: 3.1 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.79, 30.40, 77.01, 0.38, 0.00
Train - Start of epoch 276
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.8073
Epoch 276, Time elapsed: 3.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.57, 30.39, 77.79, 0.39, 0.00
Train - Start of epoch 277
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.3342
Epoch 277, Time elapsed: 3.12 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.70, 30.39, 77.92, 0.39, 0.00
Train - Start of epoch 278
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 106.3853
Epoch 278, Time elapsed: 3.14 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.06, 30.38, 78.28, 0.39, 0.00
Train - Start of epoch 279
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 110.8255
Epoch 279, Time elapsed: 3.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.88, 30.38, 78.10, 0.40, 0.00
Train - Start of epoch 280
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.2952
Epoch 280, Time elapsed: 3.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.72, 30.38, 77.95, 0.40, 0.00
Train - Start of epoch 281
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.3655
Epoch 281, Time elapsed: 3.17 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.41, 30.37, 77.65, 0.39, 0.00
Train - Start of epoch 282
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.5747
Epoch 282, Time elapsed: 3.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.50, 30.37, 77.75, 0.38, 0.00
Train - Start of epoch 283
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.4090
Epoch 283, Time elapsed: 3.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.85, 30.36, 77.10, 0.39, 0.00
Train - Start of epoch 284
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.8397
Epoch 284, Time elapsed: 3.2 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.40, 30.36, 78.65, 0.40, 0.00
Train - Start of epoch 285
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0238
Epoch 285, Time elapsed: 3.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.66, 30.36, 77.91, 0.39, 0.00
Train - Start of epoch 286
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.5313
Epoch 286, Time elapsed: 3.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.83, 30.35, 79.08, 0.40, 0.00
Train - Start of epoch 287
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.2708
Epoch 287, Time elapsed: 3.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.19, 30.36, 78.45, 0.39, 0.00
Train - Start of epoch 288
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.9754
Epoch 288, Time elapsed: 3.25 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.81, 30.35, 78.07, 0.39, 0.00
Train - Start of epoch 289
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.6860
Epoch 289, Time elapsed: 3.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.21, 30.35, 77.46, 0.39, 0.00
Train - Start of epoch 290
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.9004
Epoch 290, Time elapsed: 3.27 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.72, 30.34, 77.99, 0.39, 0.00
Train - Start of epoch 291
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.6913
Epoch 291, Time elapsed: 3.28 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.63, 30.34, 77.91, 0.38, 0.00
Train - Start of epoch 292
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.0636
Epoch 292, Time elapsed: 3.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.23, 30.34, 78.49, 0.39, 0.00
Train - Start of epoch 293
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.1101
Epoch 293, Time elapsed: 3.3 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.24, 30.34, 78.51, 0.39, 0.00
Train - Start of epoch 294
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.9053
Epoch 294, Time elapsed: 3.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.55, 30.34, 77.82, 0.39, 0.00
Train - Start of epoch 295
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.0278
Epoch 295, Time elapsed: 3.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.57, 30.33, 77.84, 0.40, 0.00
Train - Start of epoch 296
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 111.6987
Epoch 296, Time elapsed: 3.33 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.04, 30.33, 78.33, 0.38, 0.00
Train - Start of epoch 297
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.9940
Epoch 297, Time elapsed: 3.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.80, 30.32, 78.09, 0.39, 0.00
Train - Start of epoch 298
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.2417
Epoch 298, Time elapsed: 3.36 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.24, 30.34, 78.50, 0.41, 0.00
Train - Start of epoch 299
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.1401
Epoch 299, Time elapsed: 3.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.52, 30.33, 77.81, 0.38, 0.00
Train - Start of epoch 300
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.7578
Epoch 300, Time elapsed: 3.38 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.37, 30.32, 77.67, 0.38, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=300>
Saved checkpoint for epoch 300: example/result/1/checkpoint/ckpt-6
Train - Start of epoch 301
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.0305
Epoch 301, Time elapsed: 3.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.34, 30.32, 77.64, 0.38, 0.00
Train - Start of epoch 302
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.1293
Epoch 302, Time elapsed: 3.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.47, 30.31, 77.77, 0.39, 0.00
Train - Start of epoch 303
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.7940
Epoch 303, Time elapsed: 3.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.04, 30.31, 78.33, 0.39, 0.00
Train - Start of epoch 304
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.7887
Epoch 304, Time elapsed: 3.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.39, 30.31, 78.68, 0.40, 0.00
Train - Start of epoch 305
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.2085
Epoch 305, Time elapsed: 3.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.38, 30.31, 77.69, 0.38, 0.00
Train - Start of epoch 306
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.2216
Epoch 306, Time elapsed: 3.45 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.28, 30.31, 78.58, 0.39, 0.00
Train - Start of epoch 307
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.0264
Epoch 307, Time elapsed: 3.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.30, 30.30, 77.61, 0.39, 0.00
Train - Start of epoch 308
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.0925
Epoch 308, Time elapsed: 3.47 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.54, 30.29, 77.85, 0.39, 0.00
Train - Start of epoch 309
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 104.4505
Epoch 309, Time elapsed: 3.48 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.27, 30.30, 77.59, 0.38, 0.00
Train - Start of epoch 310
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.7019
Epoch 310, Time elapsed: 3.49 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.87, 30.29, 77.18, 0.39, 0.00
Train - Start of epoch 311
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.2680
Epoch 311, Time elapsed: 3.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.24, 30.29, 77.56, 0.39, 0.00
Train - Start of epoch 312
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.5789
Epoch 312, Time elapsed: 3.51 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.00, 30.29, 78.31, 0.39, 0.00
Train - Start of epoch 313
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.0517
Epoch 313, Time elapsed: 3.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.31, 30.28, 78.63, 0.40, 0.00
Train - Start of epoch 314
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.1375
Epoch 314, Time elapsed: 3.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.23, 30.28, 77.56, 0.39, 0.00
Train - Start of epoch 315
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.7969
Epoch 315, Time elapsed: 3.55 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.72, 30.28, 77.05, 0.38, 0.00
Train - Start of epoch 316
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.2248
Epoch 316, Time elapsed: 3.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.62, 30.29, 77.94, 0.40, 0.00
Train - Start of epoch 317
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.3569
Epoch 317, Time elapsed: 3.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.05, 30.28, 77.38, 0.39, 0.00
Train - Start of epoch 318
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.5160
Epoch 318, Time elapsed: 3.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.50, 30.27, 77.83, 0.39, 0.00
Train - Start of epoch 319
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4454
Epoch 319, Time elapsed: 3.59 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.70, 30.28, 78.04, 0.38, 0.00
Train - Start of epoch 320
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.2634
Epoch 320, Time elapsed: 3.6 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.86, 30.27, 77.20, 0.39, 0.00
Train - Start of epoch 321
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.9131
Epoch 321, Time elapsed: 3.61 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.68, 30.27, 78.02, 0.39, 0.00
Train - Start of epoch 322
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.5192
Epoch 322, Time elapsed: 3.62 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.20, 30.27, 77.55, 0.38, 0.00
Train - Start of epoch 323
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.0780
Epoch 323, Time elapsed: 3.63 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.63, 30.26, 76.99, 0.38, 0.00
Train - Start of epoch 324
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.8583
Epoch 324, Time elapsed: 3.64 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.88, 30.26, 78.22, 0.40, 0.00
Train - Start of epoch 325
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.8011
Epoch 325, Time elapsed: 3.66 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.46, 30.26, 77.81, 0.39, 0.00
Train - Start of epoch 326
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.3394
Epoch 326, Time elapsed: 3.67 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.18, 30.26, 78.52, 0.40, 0.00
Train - Start of epoch 327
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.4827
Epoch 327, Time elapsed: 3.68 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.38, 30.26, 78.72, 0.39, 0.00
Train - Start of epoch 328
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.5815
Epoch 328, Time elapsed: 3.69 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.09, 30.25, 77.45, 0.39, 0.00
Train - Start of epoch 329
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.5272
Epoch 329, Time elapsed: 3.7 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.61, 30.25, 77.98, 0.38, 0.00
Train - Start of epoch 330
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.3203
Epoch 330, Time elapsed: 3.71 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.88, 30.25, 78.23, 0.39, 0.00
Train - Start of epoch 331
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.3281
Epoch 331, Time elapsed: 3.72 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.31, 30.25, 77.68, 0.39, 0.00
Train - Start of epoch 332
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 105.5799
Epoch 332, Time elapsed: 3.73 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.13, 30.25, 77.50, 0.38, 0.00
Train - Start of epoch 333
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.5489
Epoch 333, Time elapsed: 3.74 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.39, 30.25, 77.75, 0.39, 0.00
Train - Start of epoch 334
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.5865
Epoch 334, Time elapsed: 3.76 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.43, 30.24, 78.79, 0.40, 0.00
Train - Start of epoch 335
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.1315
Epoch 335, Time elapsed: 3.77 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.43, 30.25, 77.79, 0.40, 0.00
Train - Start of epoch 336
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.2235
Epoch 336, Time elapsed: 3.78 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.91, 30.23, 77.29, 0.39, 0.00
Train - Start of epoch 337
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.1452
Epoch 337, Time elapsed: 3.79 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.61, 30.23, 77.97, 0.40, 0.00
Train - Start of epoch 338
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.7589
Epoch 338, Time elapsed: 3.8 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.39, 30.24, 77.76, 0.39, 0.00
Train - Start of epoch 339
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.4878
Epoch 339, Time elapsed: 3.81 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.61, 30.24, 77.99, 0.39, 0.00
Train - Start of epoch 340
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.8218
Epoch 340, Time elapsed: 3.82 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.68, 30.24, 78.04, 0.40, 0.00
Train - Start of epoch 341
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.2073
Epoch 341, Time elapsed: 3.83 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.17, 30.24, 77.54, 0.39, 0.00
Train - Start of epoch 342
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.3333
Epoch 342, Time elapsed: 3.84 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.98, 30.22, 77.38, 0.38, 0.00
Train - Start of epoch 343
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.6787
Epoch 343, Time elapsed: 3.85 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.10, 30.22, 78.48, 0.39, 0.00
Train - Start of epoch 344
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4022
Epoch 344, Time elapsed: 3.86 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.58, 30.23, 77.96, 0.39, 0.00
Train - Start of epoch 345
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.1731
Epoch 345, Time elapsed: 3.88 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.84, 30.23, 78.24, 0.38, 0.00
Train - Start of epoch 346
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.2636
Epoch 346, Time elapsed: 3.89 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.88, 30.22, 78.26, 0.40, 0.00
Train - Start of epoch 347
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.8350
Epoch 347, Time elapsed: 3.9 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.61, 30.22, 77.99, 0.39, 0.00
Train - Start of epoch 348
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.1891
Epoch 348, Time elapsed: 3.91 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.38, 30.22, 77.77, 0.39, 0.00
Train - Start of epoch 349
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.0630
Epoch 349, Time elapsed: 3.92 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.89, 30.22, 77.30, 0.38, 0.00
Train - Start of epoch 350
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.2598
Epoch 350, Time elapsed: 3.93 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.51, 30.22, 77.90, 0.39, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=350>
Saved checkpoint for epoch 350: example/result/1/checkpoint/ckpt-7
Train - Start of epoch 351
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.3969
Epoch 351, Time elapsed: 3.94 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.75, 30.21, 78.15, 0.39, 0.00
Train - Start of epoch 352
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.8143
Epoch 352, Time elapsed: 3.96 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.05, 30.20, 77.46, 0.39, 0.00
Train - Start of epoch 353
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4306
Epoch 353, Time elapsed: 3.97 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.47, 30.21, 77.86, 0.40, 0.00
Train - Start of epoch 354
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 112.0217
Epoch 354, Time elapsed: 3.98 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.26, 30.21, 78.65, 0.40, 0.00
Train - Start of epoch 355
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 104.7495
Epoch 355, Time elapsed: 3.99 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.90, 30.21, 77.31, 0.39, 0.00
Train - Start of epoch 356
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.3732
Epoch 356, Time elapsed: 4.0 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.10, 30.21, 77.51, 0.38, 0.00
Train - Start of epoch 357
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.2396
Epoch 357, Time elapsed: 4.01 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.49, 30.20, 76.90, 0.39, 0.00
Train - Start of epoch 358
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4129
Epoch 358, Time elapsed: 4.02 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.95, 30.20, 78.36, 0.39, 0.00
Train - Start of epoch 359
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.3289
Epoch 359, Time elapsed: 4.03 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.33, 30.19, 77.74, 0.40, 0.00
Train - Start of epoch 360
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.1974
Epoch 360, Time elapsed: 4.04 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.21, 30.19, 77.63, 0.39, 0.00
Train - Start of epoch 361
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.4608
Epoch 361, Time elapsed: 4.05 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.30, 30.19, 77.71, 0.39, 0.00
Train - Start of epoch 362
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.9160
Epoch 362, Time elapsed: 4.06 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.23, 30.18, 77.65, 0.39, 0.00
Train - Start of epoch 363
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 105.8098
Epoch 363, Time elapsed: 4.07 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.01, 30.19, 77.43, 0.39, 0.00
Train - Start of epoch 364
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.2754
Epoch 364, Time elapsed: 4.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.07, 30.18, 77.48, 0.40, 0.00
Train - Start of epoch 365
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.9246
Epoch 365, Time elapsed: 4.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.69, 30.18, 77.12, 0.40, 0.00
Train - Start of epoch 366
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.8575
Epoch 366, Time elapsed: 4.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.55, 30.18, 76.97, 0.40, 0.00
Train - Start of epoch 367
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 106.2552
Epoch 367, Time elapsed: 4.12 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.06, 30.18, 77.48, 0.39, 0.00
Train - Start of epoch 368
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.2737
Epoch 368, Time elapsed: 4.13 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.71, 30.17, 78.14, 0.39, 0.00
Train - Start of epoch 369
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.6950
Epoch 369, Time elapsed: 4.14 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.19, 30.18, 77.62, 0.39, 0.00
Train - Start of epoch 370
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.2918
Epoch 370, Time elapsed: 4.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.61, 30.18, 78.04, 0.40, 0.00
Train - Start of epoch 371
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.0728
Epoch 371, Time elapsed: 4.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.65, 30.17, 78.07, 0.41, 0.00
Train - Start of epoch 372
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.3146
Epoch 372, Time elapsed: 4.17 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.14, 30.17, 77.56, 0.41, 0.00
Train - Start of epoch 373
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.0666
Epoch 373, Time elapsed: 4.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.75, 30.16, 78.18, 0.40, 0.00
Train - Start of epoch 374
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.1918
Epoch 374, Time elapsed: 4.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.77, 30.17, 77.20, 0.40, 0.00
Train - Start of epoch 375
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.3965
Epoch 375, Time elapsed: 4.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.42, 30.15, 77.86, 0.40, 0.00
Train - Start of epoch 376
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.3774
Epoch 376, Time elapsed: 4.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.11, 30.16, 76.55, 0.40, 0.00
Train - Start of epoch 377
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.1650
Epoch 377, Time elapsed: 4.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.14, 30.15, 77.58, 0.41, 0.00
Train - Start of epoch 378
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.6002
Epoch 378, Time elapsed: 4.24 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.54, 30.15, 76.99, 0.40, 0.00
Train - Start of epoch 379
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 105.9648
Epoch 379, Time elapsed: 4.25 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.68, 30.15, 77.12, 0.41, 0.00
Train - Start of epoch 380
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.5062
Epoch 380, Time elapsed: 4.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.56, 30.15, 78.01, 0.41, 0.00
Train - Start of epoch 381
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.6680
Epoch 381, Time elapsed: 4.27 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.73, 30.14, 79.16, 0.42, 0.00
Train - Start of epoch 382
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.1770
Epoch 382, Time elapsed: 4.28 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.90, 30.15, 77.35, 0.40, 0.00
Train - Start of epoch 383
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.3734
Epoch 383, Time elapsed: 4.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.62, 30.15, 78.05, 0.42, 0.00
Train - Start of epoch 384
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 105.7327
Epoch 384, Time elapsed: 4.3 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.52, 30.14, 77.96, 0.42, 0.00
Train - Start of epoch 385
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.9485
Epoch 385, Time elapsed: 4.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.03, 30.14, 77.48, 0.41, 0.00
Train - Start of epoch 386
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.5312
Epoch 386, Time elapsed: 4.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.76, 30.14, 78.20, 0.42, 0.00
Train - Start of epoch 387
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.2389
Epoch 387, Time elapsed: 4.34 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.59, 30.14, 77.05, 0.40, 0.00
Train - Start of epoch 388
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.5908
Epoch 388, Time elapsed: 4.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.17, 30.13, 77.63, 0.42, 0.00
Train - Start of epoch 389
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.4599
Epoch 389, Time elapsed: 4.36 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.93, 30.13, 77.38, 0.42, 0.00
Train - Start of epoch 390
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.6624
Epoch 390, Time elapsed: 4.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.80, 30.13, 78.24, 0.42, 0.00
Train - Start of epoch 391
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.1439
Epoch 391, Time elapsed: 4.38 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.41, 30.13, 76.88, 0.40, 0.00
Train - Start of epoch 392
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.0262
Epoch 392, Time elapsed: 4.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.22, 30.13, 77.68, 0.42, 0.00
Train - Start of epoch 393
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 111.1590
Epoch 393, Time elapsed: 4.4 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.94, 30.12, 77.41, 0.41, 0.00
Train - Start of epoch 394
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.0593
Epoch 394, Time elapsed: 4.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.65, 30.12, 77.12, 0.41, 0.00
Train - Start of epoch 395
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.2310
Epoch 395, Time elapsed: 4.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.26, 30.12, 76.74, 0.41, 0.00
Train - Start of epoch 396
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 104.5188
Epoch 396, Time elapsed: 4.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.54, 30.12, 77.01, 0.41, 0.00
Train - Start of epoch 397
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.4260
Epoch 397, Time elapsed: 4.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.32, 30.13, 76.79, 0.41, 0.00
Train - Start of epoch 398
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.2084
Epoch 398, Time elapsed: 4.45 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.15, 30.12, 77.62, 0.41, 0.00
Train - Start of epoch 399
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.1465
Epoch 399, Time elapsed: 4.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.33, 30.11, 77.79, 0.43, 0.00
Train - Start of epoch 400
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.6130
Epoch 400, Time elapsed: 4.47 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.09, 30.11, 76.58, 0.40, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=400>
Saved checkpoint for epoch 400: example/result/1/checkpoint/ckpt-8
Train - Start of epoch 401
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.3000
Epoch 401, Time elapsed: 4.49 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.40, 30.11, 76.87, 0.41, 0.00
Train - Start of epoch 402
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0275
Epoch 402, Time elapsed: 4.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.21, 30.11, 77.69, 0.41, 0.00
Train - Start of epoch 403
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.9536
Epoch 403, Time elapsed: 4.51 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.92, 30.11, 77.40, 0.41, 0.00
Train - Start of epoch 404
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.1748
Epoch 404, Time elapsed: 4.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.62, 30.11, 78.09, 0.42, 0.00
Train - Start of epoch 405
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.7310
Epoch 405, Time elapsed: 4.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.72, 30.11, 77.19, 0.41, 0.00
Train - Start of epoch 406
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.7370
Epoch 406, Time elapsed: 4.55 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.32, 30.10, 77.80, 0.41, 0.00
Train - Start of epoch 407
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.3870
Epoch 407, Time elapsed: 4.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.94, 30.10, 77.43, 0.41, 0.00
Train - Start of epoch 408
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.5670
Epoch 408, Time elapsed: 4.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.28, 30.10, 76.76, 0.42, 0.00
Train - Start of epoch 409
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 105.1628
Epoch 409, Time elapsed: 4.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.20, 30.10, 76.69, 0.41, 0.00
Train - Start of epoch 410
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.1151
Epoch 410, Time elapsed: 4.59 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.63, 30.10, 77.12, 0.41, 0.00
Train - Start of epoch 411
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.5649
Epoch 411, Time elapsed: 4.6 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.65, 30.10, 77.14, 0.41, 0.00
Train - Start of epoch 412
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.5638
Epoch 412, Time elapsed: 4.61 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.17, 30.10, 77.66, 0.42, 0.00
Train - Start of epoch 413
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.8762
Epoch 413, Time elapsed: 4.62 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.58, 30.10, 77.08, 0.40, 0.00
Train - Start of epoch 414
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.5770
Epoch 414, Time elapsed: 4.63 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.44, 30.09, 76.94, 0.40, 0.00
Train - Start of epoch 415
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.5535
Epoch 415, Time elapsed: 4.64 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.21, 30.10, 77.69, 0.43, 0.00
Train - Start of epoch 416
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.1953
Epoch 416, Time elapsed: 4.66 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.09, 30.09, 77.58, 0.42, 0.00
Train - Start of epoch 417
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.9633
Epoch 417, Time elapsed: 4.67 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.37, 30.09, 76.86, 0.42, 0.00
Train - Start of epoch 418
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.5965
Epoch 418, Time elapsed: 4.68 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.78, 30.09, 77.28, 0.41, 0.00
Train - Start of epoch 419
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.9643
Epoch 419, Time elapsed: 4.69 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.14, 30.09, 77.63, 0.42, 0.00
Train - Start of epoch 420
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 110.0954
Epoch 420, Time elapsed: 4.7 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.40, 30.09, 78.88, 0.43, 0.00
Train - Start of epoch 421
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.0718
Epoch 421, Time elapsed: 4.71 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.67, 30.09, 77.17, 0.41, 0.00
Train - Start of epoch 422
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.0096
Epoch 422, Time elapsed: 4.72 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.58, 30.09, 77.08, 0.42, 0.00
Train - Start of epoch 423
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.1860
Epoch 423, Time elapsed: 4.73 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.41, 30.08, 76.92, 0.41, 0.00
Train - Start of epoch 424
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.3456
Epoch 424, Time elapsed: 4.74 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.92, 30.08, 77.44, 0.40, 0.00
Train - Start of epoch 425
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.2172
Epoch 425, Time elapsed: 4.76 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.47, 30.08, 77.98, 0.41, 0.00
Train - Start of epoch 426
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.8602
Epoch 426, Time elapsed: 4.77 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.49, 30.08, 77.00, 0.41, 0.00
Train - Start of epoch 427
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 110.7924
Epoch 427, Time elapsed: 4.78 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.90, 30.08, 78.41, 0.41, 0.00
Train - Start of epoch 428
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.0826
Epoch 428, Time elapsed: 4.79 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.08, 30.08, 76.59, 0.41, 0.00
Train - Start of epoch 429
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.6819
Epoch 429, Time elapsed: 4.8 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.55, 30.07, 78.07, 0.41, 0.00
Train - Start of epoch 430
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.4181
Epoch 430, Time elapsed: 4.81 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.59, 30.08, 77.10, 0.41, 0.00
Train - Start of epoch 431
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.3479
Epoch 431, Time elapsed: 4.82 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.79, 30.07, 78.30, 0.42, 0.00
Train - Start of epoch 432
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.8323
Epoch 432, Time elapsed: 4.83 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.25, 30.08, 76.78, 0.40, 0.00
Train - Start of epoch 433
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.1314
Epoch 433, Time elapsed: 4.84 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.71, 30.08, 77.22, 0.40, 0.00
Train - Start of epoch 434
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.4911
Epoch 434, Time elapsed: 4.85 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.25, 30.07, 77.77, 0.41, 0.00
Train - Start of epoch 435
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.2037
Epoch 435, Time elapsed: 4.86 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.25, 30.07, 77.77, 0.42, 0.00
Train - Start of epoch 436
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 104.8114
Epoch 436, Time elapsed: 4.87 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.12, 30.08, 75.65, 0.39, 0.00
Train - Start of epoch 437
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.5415
Epoch 437, Time elapsed: 4.89 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.11, 30.08, 77.62, 0.41, 0.00
Train - Start of epoch 438
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.6804
Epoch 438, Time elapsed: 4.9 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.52, 30.07, 77.05, 0.41, 0.00
Train - Start of epoch 439
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.3422
Epoch 439, Time elapsed: 4.91 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.31, 30.07, 76.84, 0.40, 0.00
Train - Start of epoch 440
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.1206
Epoch 440, Time elapsed: 4.92 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.84, 30.07, 77.35, 0.41, 0.00
Train - Start of epoch 441
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.4074
Epoch 441, Time elapsed: 4.93 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.77, 30.07, 77.29, 0.41, 0.00
Train - Start of epoch 442
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.5212
Epoch 442, Time elapsed: 4.94 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.20, 30.06, 77.72, 0.41, 0.00
Train - Start of epoch 443
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.8484
Epoch 443, Time elapsed: 4.95 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.69, 30.07, 77.23, 0.39, 0.00
Train - Start of epoch 444
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.7540
Epoch 444, Time elapsed: 4.96 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.99, 30.07, 77.51, 0.42, 0.00
Train - Start of epoch 445
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 104.1943
Epoch 445, Time elapsed: 4.97 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.72, 30.07, 77.25, 0.40, 0.00
Train - Start of epoch 446
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 104.7756
Epoch 446, Time elapsed: 4.98 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.25, 30.06, 76.79, 0.40, 0.00
Train - Start of epoch 447
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.4700
Epoch 447, Time elapsed: 5.0 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.98, 30.06, 77.52, 0.40, 0.00
Train - Start of epoch 448
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.8436
Epoch 448, Time elapsed: 5.01 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.71, 30.06, 76.26, 0.40, 0.00
Train - Start of epoch 449
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.4815
Epoch 449, Time elapsed: 5.02 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.30, 30.06, 77.82, 0.42, 0.00
Train - Start of epoch 450
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.0271
Epoch 450, Time elapsed: 5.03 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.83, 30.07, 77.37, 0.40, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=450>
Saved checkpoint for epoch 450: example/result/1/checkpoint/ckpt-9
Train - Start of epoch 451
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.3492
Epoch 451, Time elapsed: 5.05 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 109.32, 30.06, 78.85, 0.41, 0.00
Train - Start of epoch 452
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.2489
Epoch 452, Time elapsed: 5.06 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.81, 30.06, 77.36, 0.40, 0.00
Train - Start of epoch 453
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 107.7351
Epoch 453, Time elapsed: 5.07 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.14, 30.05, 77.67, 0.41, 0.00
Train - Start of epoch 454
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.7522
Epoch 454, Time elapsed: 5.08 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.09, 30.05, 77.63, 0.41, 0.00
Train - Start of epoch 455
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.8387
Epoch 455, Time elapsed: 5.09 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.38, 30.05, 76.93, 0.40, 0.00
Train - Start of epoch 456
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 104.7825
Epoch 456, Time elapsed: 5.1 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.63, 30.06, 77.18, 0.40, 0.00
Train - Start of epoch 457
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.3150
Epoch 457, Time elapsed: 5.11 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.13, 30.05, 77.67, 0.40, 0.00
Train - Start of epoch 458
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 106.3478
Epoch 458, Time elapsed: 5.12 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.12, 30.05, 77.66, 0.40, 0.00
Train - Start of epoch 459
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.1961
Epoch 459, Time elapsed: 5.13 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.04, 30.05, 77.57, 0.41, 0.00
Train - Start of epoch 460
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.0575
Epoch 460, Time elapsed: 5.15 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.22, 30.05, 76.77, 0.40, 0.00
Train - Start of epoch 461
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 106.8750
Epoch 461, Time elapsed: 5.16 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.69, 30.05, 76.24, 0.40, 0.00
Train - Start of epoch 462
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.1790
Epoch 462, Time elapsed: 5.17 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.83, 30.05, 77.38, 0.40, 0.00
Train - Start of epoch 463
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 109.5190
Epoch 463, Time elapsed: 5.18 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.42, 30.04, 76.96, 0.41, 0.00
Train - Start of epoch 464
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.0602
Epoch 464, Time elapsed: 5.19 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.31, 30.05, 76.86, 0.40, 0.00
Train - Start of epoch 465
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.3498
Epoch 465, Time elapsed: 5.2 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.06, 30.05, 77.60, 0.41, 0.00
Train - Start of epoch 466
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 105.0837
Epoch 466, Time elapsed: 5.21 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.46, 30.05, 78.01, 0.40, 0.00
Train - Start of epoch 467
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.5842
Epoch 467, Time elapsed: 5.22 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.39, 30.04, 75.96, 0.38, 0.00
Train - Start of epoch 468
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.9158
Epoch 468, Time elapsed: 5.23 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.05, 30.04, 76.61, 0.40, 0.00
Train - Start of epoch 469
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 105.2114
Epoch 469, Time elapsed: 5.25 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.50, 30.05, 77.05, 0.41, 0.00
Train - Start of epoch 470
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.2078
Epoch 470, Time elapsed: 5.26 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.10, 30.04, 77.66, 0.41, 0.00
Train - Start of epoch 471
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.2981
Epoch 471, Time elapsed: 5.27 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.75, 30.04, 77.31, 0.40, 0.00
Train - Start of epoch 472
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.0310
Epoch 472, Time elapsed: 5.28 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.27, 30.04, 76.82, 0.41, 0.00
Train - Start of epoch 473
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.5876
Epoch 473, Time elapsed: 5.29 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.89, 30.05, 76.46, 0.38, 0.00
Train - Start of epoch 474
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.5626
Epoch 474, Time elapsed: 5.3 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.58, 30.04, 77.15, 0.39, 0.00
Train - Start of epoch 475
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 103.4700
Epoch 475, Time elapsed: 5.31 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.40, 30.04, 75.96, 0.39, 0.00
Train - Start of epoch 476
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.8746
Epoch 476, Time elapsed: 5.32 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.97, 30.04, 77.52, 0.40, 0.00
Train - Start of epoch 477
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.7822
Epoch 477, Time elapsed: 5.33 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.45, 30.04, 78.01, 0.40, 0.00
Train - Start of epoch 478
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.1175
Epoch 478, Time elapsed: 5.35 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.59, 30.03, 77.16, 0.39, 0.00
Train - Start of epoch 479
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 109.4479
Epoch 479, Time elapsed: 5.36 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.69, 30.04, 77.25, 0.40, 0.00
Train - Start of epoch 480
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 107.0320
Epoch 480, Time elapsed: 5.37 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.90, 30.03, 76.46, 0.41, 0.00
Train - Start of epoch 481
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 110.0428
Epoch 481, Time elapsed: 5.38 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.02, 30.04, 77.58, 0.40, 0.00
Train - Start of epoch 482
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.1881
Epoch 482, Time elapsed: 5.39 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.94, 30.04, 77.52, 0.39, 0.00
Train - Start of epoch 483
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.7420
Epoch 483, Time elapsed: 5.4 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.18, 30.04, 76.76, 0.39, 0.00
Train - Start of epoch 484
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.1152
Epoch 484, Time elapsed: 5.41 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.71, 30.03, 77.28, 0.40, 0.00
Train - Start of epoch 485
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 108.1426
Epoch 485, Time elapsed: 5.42 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.17, 30.03, 77.74, 0.39, 0.00
Train - Start of epoch 486
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.6501
Epoch 486, Time elapsed: 5.43 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.87, 30.03, 77.43, 0.41, 0.00
Train - Start of epoch 487
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 107.5352
Epoch 487, Time elapsed: 5.44 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.89, 30.04, 77.46, 0.39, 0.00
Train - Start of epoch 488
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 106.9569
Epoch 488, Time elapsed: 5.46 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.16, 30.03, 77.73, 0.40, 0.00
Train - Start of epoch 489
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.7199
Epoch 489, Time elapsed: 5.47 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 108.07, 30.04, 77.63, 0.40, 0.00
Train - Start of epoch 490
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 108.8116
Epoch 490, Time elapsed: 5.48 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.73, 30.03, 77.30, 0.39, 0.00
Train - Start of epoch 491
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 108.5958
Epoch 491, Time elapsed: 5.49 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.93, 30.03, 76.51, 0.39, 0.00
Train - Start of epoch 492
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 111.2562
Epoch 492, Time elapsed: 5.5 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.69, 30.03, 77.28, 0.38, 0.00
Train - Start of epoch 493
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 105.2852
Epoch 493, Time elapsed: 5.51 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.66, 30.03, 77.24, 0.39, 0.00
Train - Start of epoch 494
33/33 [==============================] - 1s 19ms/step - Reconstructed Loss: 109.9882
Epoch 494, Time elapsed: 5.52 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.92, 30.03, 76.50, 0.39, 0.00
Train - Start of epoch 495
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 104.9906
Epoch 495, Time elapsed: 5.53 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.58, 30.03, 77.16, 0.39, 0.00
Train - Start of epoch 496
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 105.6115
Epoch 496, Time elapsed: 5.54 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.72, 30.03, 77.29, 0.40, 0.00
Train - Start of epoch 497
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 102.5566
Epoch 497, Time elapsed: 5.56 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.37, 30.03, 76.95, 0.39, 0.00
Train - Start of epoch 498
33/33 [==============================] - 1s 20ms/step - Reconstructed Loss: 106.8826
Epoch 498, Time elapsed: 5.57 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 106.82, 30.03, 76.40, 0.39, 0.00
Train - Start of epoch 499
33/33 [==============================] - 1s 21ms/step - Reconstructed Loss: 107.5604
Epoch 499, Time elapsed: 5.58 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.81, 30.03, 77.38, 0.40, 0.00
Train - Start of epoch 500
33/33 [==============================] - 1s 22ms/step - Reconstructed Loss: 105.1766
Epoch 500, Time elapsed: 5.59 minutes
total, obs_M-0, unobs_M-0, kl, mmd
train : 107.72, 30.03, 77.30, 0.39, 0.00
<tf.Variable 'Variable:0' shape=() dtype=int32, numpy=500>
Saved checkpoint for epoch 500: example/result/1/checkpoint/ckpt-10
Train Done.
We can visualize the training loss. It flucuates since we argument the data with random masking, which also provides regularization against overfitting. One may continue training until the loss gets stablized.
[5]:
plt.plot(hist['train']['total'])
plt.xlabel('Epoch')
plt.ylabel('Trianing loss')
[5]:
Text(0, 0.5, 'Trianing loss')
For later usage, we can load the trained model through the load_model method without the need to retrain:
model.load_model(path_root+'checkpoint/')
Inspect imputation results#
[ ]:
denoised_data = model.get_denoised_data()
[7]:
fig, axes = plt.subplots(1,2,figsize=(10,4))
axes[0].scatter(
data_raw[masks==0],
denoised_data[masks==0], s=0.1, alpha=0.1
)
axes[0].set_xlabel('Observed')
axes[0].set_ylabel('Denoised')
axes[1].scatter(
data_raw[(masks_raw==0)&(masks==-1)],
denoised_data[(masks_raw==0)&(masks==-1)], s=0.1, alpha=0.1
)
axes[1].set_xlabel('Observed')
axes[1].set_ylabel('Imputed')
plt.show()
