*   Keras:

    *   `tf.keras.layers.Conv` now includes a public `convolution_op` method.
        This method can be used to simplify the implementation of Conv
        subclasses. There are two primary ways to use this new method. The first
        is to use the method directly in your own `call` method: `python class
        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):

`channels_last_format`, see below for details.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_Conv2DOp : TF_Op<"Conv2D", [InferTensorType, Pure, TF_LayoutSensitiveInterface]> {
  let summary = [{
Computes a 2-D convolution given 4-D `input` and `filter` tensors.
  }];

  let description = [{