a40184feb58dcff44df72b2a93a155ecf4845f04,textgenrnn/textgenrnn.py,textgenrnn,train_on_texts,#textgenrnn#Any#Any#Any#Any#Any#Any#Any#Any#Any#,92

Before Change

        if self.config["single_text"]:
            indices_list = indices_list[self.config["max_length"]:-2, :]

        indices_list = indices_list[np.random.rand(
            indices_list.shape[0]) < prop_keep, :]
        num_tokens = indices_list.shape[0]
        assert num_tokens >= batch_size, "Fewer tokens than batch_size."

        level = "word" if self.config["word_level"] else "character"

After Change

            gen_val = generate_sequences_from_texts(
                texts, indices_list_val, self, context_labels, batch_size)
            val_steps = max(
                int(np.floor(indices_list_val.shape[0] / batch_size)), 1)

        indices_list = indices_list[indices_mask, :]

Instances