optimizer = optim.Adam(parameters, lr = opt.maxlr, weight_decay = opt.weightDecay)ifopt.weight_init: utils.weights_init(model, opt)returnmodel, criterion, optimizer 開發者ID:drimpossible,項目名稱:Deep-Expander-Networks,代碼行數:26,代碼來源:__init__.py ▲點讚 6▼ # 需要導入模塊: import u...
model.apply(weights_init_normal)方法 应用把方法应用于每一个module,这里意思是进行初始化 defweights_init_normal(m): classname = m.__class__.__name__ ifclassname.find("Conv") !=-1: torch.nn.init.normal_(m.weight.data,0.0,0.02) elifclassname.find("BatchNorm2d") !=-1: torch.nn.init....
# 需要导入模块: from blocks.bricks.recurrent import LSTM [as 别名]# 或者: from blocks.bricks.recurrent.LSTM importweights_init[as 别名]defmain(nvis, nhid, encoding_lstm_dim, decoding_lstm_dim, T=1):x = tensor.matrix('features')# Construct and initialize modelencoding_mlp = MLP([Tanh()...
model.apply(weights_init_normal)方法 应用把方法应用于每一个module,这里意思是进行初始化 def weights_init_normal(m): classname = m.__class__.__name__ if classname.find("Conv") != -1: torch.nn.init.normal_(m.weight.data, 0.0, 0.02) elif classname.find("BatchNorm2d") != -1: ...
你好，问题解决了吗？我也有同样的问题。
configSetswandb.config, a dictionary-like object for storing input parameters to your run, such as model hyperparameters or data preprocessing settings. The config appears in the UI in an overview page, allowing you to group, filter, and sort runs based on these parameters. Keys should not co...
When I training the model which type is maskrcnn, the error likes title was encouraged, dose anyone knows what's going on? or have met this erro before? The problem seems like in mmcv. The Traceback is: Traceback (most recent call last): File "/home/ljo4sgh/miniconda3/envs/new-...
model_kwargs = dict( embed_dim=128, depths=(2, 2, 18, 2), num_heads=(4, 8, 16, 32), init_values=1e-6, extra_norm_stage=True, **kwargs ) return _create_swin_transformer_v2_cr('swin_v2_cr_base_ns_224', pretrained=pretrained, **model_kwargs) @register_model def swin...
示例1: construct_model ▲点赞 6▼ # 需要导入模块: from blocks.bricks import MLP [as 别名]# 或者: from blocks.bricks.MLP importweights_init[as 别名]defconstruct_model(vocab_size, embedding_dim, ngram_order, hidden_dims, activations):# Construct the modelx = tensor.lmatrix('features') ...
When loading model in Google Colab Pro for Inference with GPT-J-6B notebook - I am able to download the model, but then receive this error: Downloading: 100% 836/836 [00:00<00:00, 25.0kB/s] Downloading: 100% 11.3G/11.3G [03:09<00:00, 62...