data.h_in = op_type.getShape()[2];
  data.w_in = op_type.getShape()[3];

  std::vector<int32_t> kernel_size;
  GetI32VectorFromDenseI64CompositeAttr(composite_attrs, "kernel_size",
                                        &kernel_size);
  data.kh = kernel_size[0];
  data.kw = kernel_size[1];

  std::vector<int32_t> padding;
  GetI32VectorFromDenseI64CompositeAttr(composite_attrs, "padding", &padding);

                                    ConstantAttr<RankedI32ElementsAttr<[4]>,"{0, 2, 3, 1}">)),
                            /*filter_height*/(GetI32At<0> (GetAsVectorAttr<"kernel_size"> $attrs)),
                            /*filter_width*/(GetI32At<1> (GetAsVectorAttr<"kernel_size"> $attrs)),
                            /*padding*/(GetAvgPoolOpPadAttr $old_val),
                            /*stride_h*/(GetI32At<0> (GetAsVectorAttr<"stride"> $attrs)),

    kernel of shape [7, 7, 3, 64] to [4, 4, 12, 84].

    ```python
    conv0 = tf.compat.v1.layers.Conv2D(
     filters=filters,
     kernel_size=kernel_size,
     strides=2,
     padding=('SAME' if strides == 1 else 'VALID'),
     use_bias=False,
     kernel_initializer=tf.variance_scaling_initializer(),
     data_format=data_format)