def reconstruct(self, feed):
        feed = Feed.from_any(feed)
        x_prime = np.empty(feed.x.shape)
        offset = 0
        for x_batch in feed.batches():
            x_prime_batch = np.array(self._reconstruct_batch(x_batch))
            batch_size = x_prime_batch.shape[0]
            x_prime[offset:offset+batch_size, ...] = x_prime_batch
            offset += batch_size
        return x_prime
Download dependencies from `$deps_dir/download-requires`.
dataset/ETHPy150Open andersbll/deeppy/deeppy/autoencoder/autoencoder.py/Autoencoder.reconstruct--crossover with--dataset/ETHPy150Open openstack/anvil/anvil/packaging/base.py/DependencyHandler.download_dependencies