Int64 Initializer
Description
Creates a graph initializer of type int64. The tensor values are specified in the parameters and embedded as a fixed variable in the graph.
Documentation illustration (illustration unavailable in the archive).
Input parameters
Parameters : cluster
flattened_int64_data : array, stores the explicit list of numeric values for the initializer, in a flattened one-dimensional format.
shape : array, defines the true shape of the initializer tensor. Training : cluster, these parameters only have an effect in a training graph.
type : enum, defines how the initializer behaves when the graph is used in training mode. It determines whether the tensor is treated as a constant, as trainable weights, or as frozen weights. During inference, it makes no difference whether the type is Constant, Train Weights, or Frozen Weights. Regularizer : cluster, regularizer function applied to the weights matrix.
name (optional) : string, name of the node.
Documentation illustration (illustration unavailable in the archive).
Output parameters
Graph out : object, ONNX model architecture.
Example
All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Deep Learning library to run it).