ValueError

[Raijin003]

Hello, I'm new on github. I want to develop a DCGAN for image generation. Someone can help me?

**input_images = np.asarray([np.asarray(Image.open(file).resize((IMAGE_SIZE, IMAGE_SIZE))) for file in glob(INPUT_DATA_DIR + '*')])
print ("Input: " + str(input_images.shape))

np.random.shuffle(input_images)

sample_images = random.sample(list(input_images), SAMPLES_TO_SHOW)
show_samples(sample_images, OUTPUT_DIR + "inputs", 0)

with tf.Graph().as_default():
train(get_batches(input_images), input_images.shape)**

I get this error:

ValueError: Sample larger than population or is negative

-Thanks