fromtorchvision.modelsimportget_model_weights,get_weight which is different from torchvision==0.13.0hubconf.py. Error: model=torch.hub.load("pytorch/vision",self.model_name,**self.kwargs)/opt/hostedtoolcache/Python/3.9.13/x64/lib/python3.9/site-packages/torch/hub.py:540:inloadmodel=_load_...
weights.grad.zero_() bias.grad.zero_() 1. 2. 3. 4. 5. 现在我们可以利用model.parameters()和model.zero_grad()(这两个都是PyTorch定义在nn.Module中的)使这些步骤变得更加简洁并且更不容易忘记更新部分参数,尤其是模型很复杂的情况: with torch.no_grad(): for p in model.parameters(): p -= p...
# Get cpu or gpu device for training.device="cuda"iftorch.cuda.is_available()else"cpu"print(f"Using {device} device")# Define modelclassNeuralNetwork(nn.Module):def__init__(self):super(NeuralNetwork,self).__init__()self.flatten=nn.Flatten()self.linear_relu_stack=nn.Sequential(nn.Linea...
defget_output_embeddings(self):returnNone # PretrainedModel.tie_weights 函数会将 lm_head 绑定为 shared 参数,导致张量并行情况下 lm_head 参数发生不匹配的错误
common.object_names import Models from super_gradients.training import models # LOAD MODEL start_t = time.process_time() model = models.get(Models.YOLO_NAS_L, pretrained_weights="coco") model_loaded_time = time.process_time() print(f"Model loaded in {model_loaded_time - start_t}") #...
pytorch 数据的输入类型是 data= [(str.split(),"classes"),()] view()就是改变下向量维数 view()函数作用是将一个多行的Tensor,拼接成一行 torch.setdefaulttensortype(‘torch.FloatTensor’) 设置默认的tensor数据类型 model.parameters() 返回结果是model里的所有参数 ...
Source File: data_gen.py From Deep-Image-Matting-PyTorch with MIT License 5 votes def gen_trimap(alpha): k_size = random.choice(range(1, 5)) iterations = np.random.randint(1, 20) kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (k_size, k_size)) dilated = cv.dilate(alpha, ...
--load-model-type hf \ --save-model-type mg \ --target-tensor-parallel-size 1 \ --target-pipeline-parallel-size 1 \ --load-dir ./model_from_hf/Qwen2-72B-Instruct \ --save-dir ./model_weights/qwen2_mcore/ \ --tokenizer-model ./model_from_hf/Qwen2-72B-Instruct/tokenizer.json ...
parser=argparse.ArgumentParser()parser.add_argument('--weights',nargs='+',type=str,default='yolov5m.pt',help='model.pt path(s)')#表示网络的规模parser.add_argument('--source',type=str,default='data\Video\Train.mp4',help='source')# file/folder, 0 for webcam #表示训练的路径parser.add...
"overlap_comm":true,"contiguous_gradients":true,"sub_group_size":1e9,"reduce_bucket_size":"auto","stage3_prefetch_bucket_size":"auto","stage3_param_persistence_threshold":"auto","stage3_max_live_parameters":1e9,"stage3_max_reuse_distance":1e9,"stage3_gather_16bit_weights_on_model_...