468d0b3898fb8276b6a487e52cf6a551622e693f,pytorch2keras/layers.py,,convert_padding,#Any#Any#Any#Any#Any#Any#Any#,1158

Before Change

    
    print("Converting padding...")

    if params["mode"] != "constant":
        raise AssertionError("Cannot convert non-constant padding")

    if params["value"] != 0.0:
        raise AssertionError("Cannot convert non-zero padding")

    if short_names:

After Change

            print(layer)
            return layer

        lambda_layer = keras.layers.Lambda(target_layer)
        layers[scope_name] = lambda_layer(layers[inputs[0]])


def convert_adaptive_avg_pool2d(params, w_name, scope_name, inputs, layers, weights, short_names):

Instances