RuntimeError: Mismatch in shape: grad_output[0] has a shape of torch.Size([4, 2361, 6144]) and output[0] has a shape of torch.Size([4, 2481, 6144]) 比较完整的错误报告(我打印了each layer的input_embeds.shape,还有我在collator中传入的一个tag【内容为input_ids.sum()与random.randint(10...
input_embeds = self.language_model.get_input_embeddings()(input_ids) seq_length = input_embeds.shape[1] if seq_length < max_seq_length: pad_size = max_seq_length - seq_length input_embeds = F.pad(input_embeds, (0, 0, 0, pad_size)) attention_mask = F.pad(attention_mask, (0,...
- c->set_output(0, c->MakeShape({batch_size * from_seq_len, head_num * size_per_head})); +//c->set_output(0, c->MakeShape({batch_size * from_seq_len, head_num * size_per_head}));+ c->set_output(0, c->input(0));returnStatus::OK(); }); template <typename Device...
CreateTensor(input_tokens_int32_tensor, (max_batch_size_ + 1) * sizeof(int)); CreateTensor(rotary_embedding_pos, max_batch_size_ * max_seq_len_ * sizeof(int64_t)); CreateTensor(rotary_embedding_pos, max_token_num * sizeof(int64_t)); CreateTensor(forward_shape, sizeof(int));/...
1. 定义动态BatchSize的数据读取器 为了实现这个操作,我们首先定义一下支持动态BatchSize的数据读取器。我们重新定义一个参数controller,来表示对batch_size和input_length的整合。显存的占用大致符合 类似batch_size * input_length * input_length的增长规律,因此我们就定义 controller=batch_size∗input_length2control...
# 需要导入模块: from config import config [as 别名]# 或者: from config.config importbatch_size[as 别名]defperturb(self, images, labels):batch_size= images.shape[0]ifbatch_size< FLAGS.batch_size: pad_num = FLAGS.batch_size-batch_sizepad_img = np.zeros([pad_num,299,299,3]) ...
Reference ids for use with the Get Search Polygon API. Expand table NameTypeDescription geometry Geometry Information about the geometric shape of the result. Only present if type == Geography. Entity Entity type source of the bounding box. For reverse-geocoding this is always equal to ...
Reference ids for use with the Get Search Polygon API. Expand table NameTypeDescription geometry Geometry Information about the geometric shape of the result. Only present if type == Geography. Entity Entity type source of the bounding box. For reverse-geocoding this is always equal to ...
# 需要导入模块: import tensorflow [as 别名]# 或者: from tensorflow importbatch_gather[as 别名]defnucleus_sampling(logits, vocab_size, p=0.9, input_ids=None, input_ori_ids=None, **kargs):input_shape_list = bert_utils.get_shape_list(logits, expected_rank=[2,3])iflen(input_shape_list...
reset_position_ids ... False retriever_report_topk_accuracies ... [] retriever_score_scaling ... False retriever_seq_length ... 256 retro_add_retriever ... False retro_attention_gate ... 1 retro_cyclic_train_iters ... None retro_encoder_attention...