游雁
2024-06-09 373fbd15e0af0fd1622d28110432bb91ec4cd445
funasr/datasets/openai_datasets/datasets.py
@@ -63,6 +63,7 @@
        # self.kwargs = kwargs
        self.max_token_length = kwargs.get("max_token_length", 1024)
        self.batch_size_scale_ratio_max = kwargs.get("batch_size_scale_ratio_max", 1.5)
        self.batch_size_token_max = kwargs.get("batch_size_token_max", 2500)
    def get_source_len(self, index):
        item = self.index_ds[index]
@@ -213,7 +214,7 @@
                b, t = outputs["input_ids"].shape
                if b > 1 and b * t > self.batch_size * self.batch_size_scale_ratio_max:
                    logging.info(
                        f"Warning, b*t: {b}*{t}={b * t} > batch_size*relax: {self.batch_size_scale_ratio_max}*{self.batch_size}={self.batch_size_scale_ratio_max*self.batch_size}, drop last data"
                        f"Warning, {idx}th, b*t: {b}*{t}={b * t} > batch_size_sample_max: {self.batch_size_token_max}, drop last data"
                    )
                    samples = samples[:-1]
                    continue