class ResNetnnCell def __init__self block layers num_classes=10 superResNet self__init__ selfin_channels = 64 selfconv1 = nnConv2d3 64 kernel_size=7 stride=2 padding=3 pad_mode

def load_model_from_ckpt(model, ckpt_file): """ Load model parameters from a checkpoint file.

Args:
    model (nn.Cell): The model to load parameters into.
    ckpt_file (str): The path to the checkpoint file.

Returns:
    None
"""
param_dict = load_checkpoint(ckpt_file)
load_param_into_net(model, param_dict)
print("Model parameters loaded from checkpoint file:", ckpt_file)