Initializers

Initializers are named constants stored inside ONNX models that are required during inference.

Most commonly, these are the model parameters such as weights and biases of layers; however, they can also store other fixed constants such as normalization coefficients. Machine learning operations, such as matrix multiplication, use these initializers while running operations.