本文整理汇总了Python中models.MLP属性的典型用法代码示例。如果您正苦于以下问题：Python models.MLP属性的具体用法？Python models.MLP怎么用？Python models.MLP使用的例子？那么恭喜您, 这里精选的属性代码示例或许可以为您提供帮助。您也可以进一步了解该属性所在类models的用法示例。
在下文中一共展示了models.MLP属性的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: import models [as 别名]
# 或者: from models import MLP [as 别名]
def __init__(self, state_vocab, object_vocab, args, map_dim = 10, batch_size = 32):
super(UVFA_pos, self).__init__()
self.state_vocab = state_vocab
self.object_vocab = object_vocab
self.total_vocab = state_vocab + object_vocab
self.pos_size = 2
self.rank = args.rank
self.map_dim = map_dim
self.batch_size = batch_size
self.positions = self.__agent_pos()
## add one for agent position
self.input_dim = (self.total_vocab + 1) * (map_dim**2)
self.world_layers = [self.input_dim, 128, 128, args.rank]
self.world_mlp = models.MLP(self.world_layers)
# self.object_dim = self.object_vocab * (map_dim**2)
self.pos_layers = [self.pos_size, 128, 128, args.rank]
self.pos_mlp = models.MLP(self.pos_layers) 示例2: __init__
# 需要导入模块: import models [as 别名]
# 或者: from models import MLP [as 别名]
def __init__(self, lstm, state_vocab, object_vocab, args, map_dim = 10, batch_size = 32):
super(UVFA_text, self).__init__()
self.state_vocab = state_vocab
self.object_vocab = object_vocab
self.lstm = lstm
self.rank = args.rank
self.map_dim = map_dim
self.batch_size = batch_size
self.positions = self.__agent_pos()
## add one for agent position
self.state_dim = (self.state_vocab+1) * (map_dim**2)
# self.state_dim = self.state_vocab * map_dim**2
self.state_layers = [self.state_dim, 128, 128, args.rank]
self.state_mlp = models.MLP(self.state_layers)
self.object_dim = self.object_vocab * (map_dim**2)
self.object_layers = [self.object_dim, 128, 128, args.rank]
self.object_mlp = models.MLP(self.object_layers) 示例3: main
# 需要导入模块: import models [as 别名]
# 或者: from models import MLP [as 别名]
def main(args):
# Context
ctx = get_extension_context("cudnn", device_id=args.device_id)
nn.set_default_context(ctx)
# Network
nn.load_parameters(args.model_load_path)
model = MLP(args.dims, args.ldims, test=True)
# Compute points and values
pts, vol = utils.compute_pts_vol(model, args.grid_size, args.volume_factor,
args.sub_batch_size)
mesh = utils.create_mesh_from_volume(vol, args.gradient_direction)
# Save as mesh
dirname, pname = args.model_load_path.split("/")
fname = os.path.splitext(pname)[0]
fpath = "{}/{}_mesh.ply".format(dirname, fname)
logger.info("Saving the mesh file to {}".format(fpath))
utils.write_mesh(fpath, mesh)