paddle.nn.AdaptiveAvgPool2D:
     data_format: NCHW

paddle.addmm:
    alpha: 1.0
    beta: 1.0
    
paddle.arange:
    start: 0
    end: ~
    step: 1

paddle.nn.BatchNorm:
    momentum: 0.9
    epsilon: 0.00001
    data_format: NCHW
    
paddle.concat:
    axis: 0
    
paddle.nn.Conv2D:
    stride: 
        - 1
        - 1
    padding:
        - 0
        - 0
    dilation:
        - 1
        - 1
    groups: 1
    padding_mode: zeros
    data_format: NCHW
    
paddle.nn.Conv2DTranspose:
    stride: 
        - 1
        - 1
    padding:
        - 0
        - 0
    dilation:
        - 1
        - 1
    output_padding:
        - 0
        - 0
    groups: 1
    padding_mode: zeros
    data_format: NCHW
    
paddle.flatten:
    start_axis: 0
    stop_axis: -1
    
paddle.nn.Hardtanh:
    min: -1.0
    max: 1.0
    
paddle.nn.LayerNorm:
    epsilon: 0.00001
    
paddle.nn.LeakyReLU:
    negative_slope: 0.01
    
paddle.nn.LSTM:
    num_layers: 1
    direction: forward
    time_major: False
    dropout: 0
    
paddle.nn.MaxPool2D:
    padding:
        - 0
        - 0
    ceil_mode: False
    return_mask: False
    
paddle.mean:
    keepdim: False
    
paddle.split:
    axis: 0
    
paddle.nn.Softmax:
    axis: -1
    
paddle.nn.Softplus:
    beta: 1
    threshold: 20
    
paddle.stack:
    axis: 0
    
paddle.split:
    axis: 0
    
paddle.nn.functioanl.interpolate:
     mode: nearest
     align_corners: False
     align_mode: 0
     data_format: NCHW