pl.LightningModule可以视为torch.nn.Module的再包装 classNN(pl.LightningModule):def__init__(self,input_size,learning_rate,num_classes):super().__init__()self.lr=learning_rate# 学习率self.fc1=nn.Linear(input_size,50)self.
self.save_hyperparameters() # model self.depth_net = DepthNet(self.hparams.hparams.resnet_layers) self.pose_net = PoseNet() def configure_optimizers(self): optim_params = [ {'params': self.depth_net.parameters(), 'lr': self.hparams.hparams.lr}, {'params': self.pose_net.parameters()...
class SC_DepthV3(LightningModule): def __init__(self, hparams): super(SC_DepthV3, self).__init__() self.save_hyperparameters() # model self.depth_net = DepthNet(self.hparams.hparams.resnet_layers) self.pose_net = PoseNet() def configure_optimizers(self): optim_params = [ {'params...
There are a number of hyperparameters that can be adjusted to further optimize the neural network training. The Skymind team did a good job in explaining the important basics of DL4J on their website. On top of that, they also have a gitter channel to discuss or report bugs straight to ...
Our music programs (Windows and Mac OS) include a trial version of the brand new Myriad HQ module, that drastically enhances sound output quality up to 96 kHz, 32 bits, on 8 loudspeakers (7.1)It also brings amazing new instrument sounds through MyrSynth, a physical modeling of hyper-...
This repo contains the codes for our paper: Molecule Generation by Principal Subgraph Mining and Assembling. - PS-VAE/src/pl_models/ps_vae_model.py at 0dfcbd25b91e1127e556cb3c273260a41a1c3f35 · THUNLP-MT/PS-VAE