d38d1c85932d62fa23779c2e7f491d7a55627c14,src/graph_transpiler/webdnn/frontend/keras/layers/pooling.py,,_convert_average_pooling1d,#Any#Any#,70

Before Change

    x = converter.get_variable(converter.get_input_tensor(k_op)[0])

    // FIXME: More effective implementation
    y, = Reshape(None, in_order=x.order, out_order=OrderNHWC, out_shape=[x.shape[0], x.shape[1], 1, x.shape[2]])

    if k_op.padding == "valid":
        padding = (0, 0)

After Change

        padding = (0, 0)

    elif k_op.padding == "same":
        padding = (k_op.pool_size[0] // 2, k_op.pool_size[0] // 2)

    else:
        raise NotImplementedError(f"Unknown padding: {k_op.padding}")

Instances