class BertMLM(nn.Module): def __init__(self, bert_path): super(BertMLM, self).__init__() # 加载config.json文件中的超参数 config = tfs.AutoConfig.from_pretrained(bert_path) self.embedding = BertEmbeddings(config) self.encoder = BertEncoder(config) self.cls = BertOnlyMLMHead(config) ...
static init_fnc_t init_sequence_f[] = { 前略 ... env_init, /* initialize environment 环境变量初始化开始 env_mmc.c*/ init_baud_rate, /* initialze baudrate settings */ serial_init, /* serial communications setup */ console_init_f, /* stage 1 init of console */ // 如果你想裁剪u...
import torchimport torchvisionimport torch.nn as nn# 定义自编码器结构class Auto_Encoder(nn.Module):def __init__(self):super(Auto_Encoder, self).__init__()# 定义编码器结构self.Encoder = nn.Sequential(nn.Linear(784, 256),nn.ReLU(),nn.Linear(256, 64),nn.ReLU(),nn.Linear(64, 20),...
python -u -m paddle.distributed.launch --gpus "0,1,2,3" train_pairwise.py \!python train_pairwise.py \--device gpu \--save_dir./checkpoints \--batch_size32\--learning_rate2E-5\--max_seq_length128\--margin0.1\--eval_step200\--save_step10000\--epochs1\--weight_decay0\--warm...
write(img_txt) from paddle.io import Dataset img_dir = "/home/aistudio/work/image_CBIR/database" label_path = "/home/aistudio/work/image_CBIR/label.txt" class MyDataset(Dataset): # 实现 __init__ 函数,初始化数据集,将样本和标签映射到列表中 def __init__(self, data_dir, label...
os.makedirs(image_dir)defsave_decoded_image(img, epoch): img= img.view(img.size(0), 1, 28, 28) save_image(img,'./FashionMNIST_Images/linear_ae_image{}.png'.format(epoch))classAutoencoder(nn.Module):def__init__(self): super(Autoencoder, self).__init__()#encoderself.enc1 = nn...
python3 tools/fill_template.py -i enc_dec_ifb/tensorrt_llm/config.pbtxt triton_backend:tensorrtllm,triton_max_batch_size:${MAX_BATCH_SIZE},decoupled_mode:False,max_beam_width:${MAX_BEAM_WIDTH},engine_dir:${ENGINE_PATH}/decoder,encoder_engine_dir:${ENGINE_PATH}/encoder...
b.make_dir()创建一个目录来存储训练中重构的图片; c. save_decode_image() 用于存储自编码器重构的图片。 #utility functionsdefget_device():iftorch.cuda.is_available(): device='cuda:0'else: device='cpu'returndevicedefmake_dir(): image_dir='FashionMNIST_Images'ifnotos.path.exists(image_dir)...
正转向上计数，反转向下计数，方向在CR1的DIR位里 在程序的主循环中加入printf("count = %d\r\n",...
import cv2 import numpy as np import os import json from tqdm import tqdm from collections import defaultdict def cocojson2png(coco_dir, json_path='instances_train2017.json', cls_type = 'train2017', save_dir = 'label/'): save_path = os.path.join(save_dir, cls_type) if not os.path...