我有一个 Python 版本的 caffe 代码。
那个 python 代码有一个 data layer
like
name: "hidden_seed"
type: "NumpyData"
top: "hidden_seed"
我喜欢用 c++ caffe 作为
layer{
name: "hidden_seed"
type: "Data"
top: "hidden_seed"
}
我的问题是如何创建一个大小为 300 x 250 且初始化值为 0 的数据层。
我查看了 caffe 中的数据层,可用的数据层是
Layers:
Image Data - read raw images.
Database - read data from LEVELDB or LMDB.
HDF5 Input - read HDF5 data, allows data of arbitrary dimensions.
HDF5 Output - write data as HDF5.
Input - typically used for networks that are being deployed.
Window Data - read window data file.
Memory Data - read data directly from memory.
Dummy Data - for static data and debugging.
我喜欢的Data层哪个适合,每个cell如何初始化为0值?
最佳答案
好像"DummyData"
图层将为您完成这项工作:
layer {
type: "DummyData"
name: "hidden_seed"
top: "hidden_seed"
dummy_data_param {
shape { dim: 300 dim: 250 } # your desired data shape
data_filler { type: "constant" value: 0 } # fill with all zeros
}
}
关于python - 如何在caffe中创建数据层?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/42500383/