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generator = create_generator() | |
discriminator = create_discriminator() | |
@tf.function | |
def train_step(images): | |
noise = tf.random.normal([BATCH_SIZE, noise_dim]) | |
with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape: | |
generated_images = generator(noise, training=True) | |
real_output = discriminator(images, training=True) | |
fake_output = discriminator(generated_images, training=True) | |
gen_loss = G_loss(fake_output) | |
disc_loss = D_loss(real_output, fake_output) | |
gradients_of_generator = gen_tape.gradient(gen_loss, generator.trainable_variables) | |
gradients_of_discriminator = disc_tape.gradient(disc_loss, discriminator.trainable_variables) | |
generator_optimizer.apply_gradients(zip(gradients_of_generator, generator.trainable_variables)) | |
discriminator_optimizer.apply_gradients(zip(gradients_of_discriminator, discriminator.trainable_variables)) |
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