output height
output width
align corner or not
Format of input data. Either DataFormat.NCHW (dimOrdering='th') or DataFormat.NHWC (dimOrdering='tf'). Default is NCHW.
A Single Shape, does not include the batch dimension.
align corner or not
Format of input data.
Format of input data. Either DataFormat.NCHW (dimOrdering='th') or DataFormat.NHWC (dimOrdering='tf'). Default is NCHW.
Build graph: some other modules point to current module
Build graph: some other modules point to current module
upstream variables
Variable containing current module
A Single Shape, does not include the batch dimension.
output height
output width
(Since version 0.3.0) please use recommended saveModule(path, overWrite)
Resize the input image with bilinear interpolation. The input image must be a float tensor with NHWC or NCHW layout.
When you use this layer as the first layer of a model, you need to provide the argument inputShape (a Single Shape, does not include the batch dimension).
Remark: This layer is from Torch and wrapped in Keras style.
Numeric type of parameter(e.g. weight, bias). Only support float/double now