Using TensorFlow backend.
2019-12-05 17:44:01.184008: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-05 17:44:01.226280: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3408000000 Hz
2019-12-05 17:44:01.226696: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55bb3ec74620 executing computations on platform Host. Devices:
2019-12-05 17:44:01.226710: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): Host, Default Version
Model: "model_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
input_1 (InputLayer)         (None, 1, 64, 64)         0
_________________________________________________________________
conv2d_1 (Conv2D)            (None, 1, 64, 32)         100384
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 1, 32, 32)         0
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 1, 32, 32)         25632
_________________________________________________________________
max_pooling2d_2 (MaxPooling2 (None, 1, 16, 32)         0
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 1, 16, 32)         9248
_________________________________________________________________
max_pooling2d_3 (MaxPooling2 (None, 1, 8, 32)          0
_________________________________________________________________
flatten_1 (Flatten)          (None, 256)               0
_________________________________________________________________
dense_1 (Dense)              (None, 100)               25700
_________________________________________________________________
dense_2 (Dense)              (None, 2048)              206848
_________________________________________________________________
reshape_1 (Reshape)          (None, 32, 8, 8)          0
_________________________________________________________________
conv2d_4 (Conv2D)            (None, 32, 8, 32)         2336
_________________________________________________________________
up_sampling2d_1 (UpSampling2 (None, 64, 16, 32)        0
_________________________________________________________________
conv2d_5 (Conv2D)            (None, 64, 16, 32)        25632
_________________________________________________________________
up_sampling2d_2 (UpSampling2 (None, 128, 32, 32)       0
_________________________________________________________________
conv2d_6 (Conv2D)            (None, 128, 32, 32)       50208
_________________________________________________________________
up_sampling2d_3 (UpSampling2 (None, 256, 64, 32)       0
=================================================================
Total params: 445,988
Trainable params: 445,988
Non-trainable params: 0
_________________________________________________________________
DRM_IOCTL_I915_GEM_APERTURE failed: Invalid argument
Assuming 131072kB available aperture size.
May lead to reduced performance or incorrect rendering.
get chip id failed: -1 [22]
param: 4, val: 0
DRM_IOCTL_I915_GEM_APERTURE failed: Invalid argument
Assuming 131072kB available aperture size.
May lead to reduced performance or incorrect rendering.
get chip id failed: -1 [22]
param: 4, val: 0
beignet-opencl-icd: no supported GPU found, this is probably the wrong opencl-icd package for this hardware
(If you have multiple ICDs installed and OpenCL works, you can ignore this message)
(60000, 1, 64, 64)
(10000, 1, 64, 64)
Traceback (most recent call last):
  File "/home/bglima/RosWS/paper_ws/src/etc/convolutional_autoencoder.py", line 91, in <module>
    validation_data=(x_test, x_test))
  File "/home/bglima/.local/lib/python2.7/site-packages/keras/engine/training.py", line 1154, in fit
    batch_size=batch_size)
  File "/home/bglima/.local/lib/python2.7/site-packages/keras/engine/training.py", line 621, in _standardize_user_data
    exception_prefix='target')
  File "/home/bglima/.local/lib/python2.7/site-packages/keras/engine/training_utils.py", line 145, in standardize_input_data
    str(data_shape))
ValueError: Error when checking target: expected up_sampling2d_3 to have shape (256, 64, 32) but got array with shape (1, 64, 64)