OS Platform and Distribution: Windows 10 / Google Colab
TensorFlow installed from binary: 2.1.0 - 2.2.0-rc3
Tensorflow-gan version: 2.0.0 and master
Describe the current behavior
Calling tfg.eval.inception_score and tfg.eval.frechet_inception_distance with a large number of images or successively with a low number of images will cause a crash due to an out-of-memory exception. Calling both with a single batch, once without consecutive calls, works.
This likely occurs with other functions as well but has only been tested with _inceptionscore and _frechet_inceptiondistance.
Describe the expected behavior
As long as a single batch fits into memory, consecutive calls to the function should als work. The functions should also work with a large number of input image, but a fitting value for _numbatches where you know that a single batch will fit in memory.
Standalone code to reproduce the issue
import tensorflow_gan as tfg
import numpy as np
a = np.random.uniform(size=(100,32,32,3)).astype('float32')
tfg.eval.inception_score(a, num_batches=100)
OR
a = np.random.uniform(size=(100,32,32,3)).astype('float32')
for i in range(a.shape[0]):
tfg.eval.inception_score(np.expand_dims(a[i],0), num_batches=1)
System information
Describe the current behavior Calling
tfg.eval.inception_scoreandtfg.eval.frechet_inception_distancewith a large number of images or successively with a low number of images will cause a crash due to an out-of-memory exception. Calling both with a single batch, once without consecutive calls, works. This likely occurs with other functions as well but has only been tested with _inceptionscore and _frechet_inceptiondistance.Describe the expected behavior As long as a single batch fits into memory, consecutive calls to the function should als work. The functions should also work with a large number of input image, but a fitting value for _numbatches where you know that a single batch will fit in memory.
Standalone code to reproduce the issue
OR
Colab link: https://colab.research.google.com/drive/1ob6in02YjUB7iCbhKnRvD5FPbWpxc1ar