TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "padding", &padding));

  DepthwiseConv2dNativeBackpropInput::Attrs input_attrs;
  input_attrs.explicit_paddings_ = explicit_paddings;
  input_attrs.data_format_ = data_format;
  input_attrs.dilations_ = dilations;
  grad_outputs->push_back(DepthwiseConv2dNativeBackpropInput(
      scope, Shape(scope, op.input(0)), op.input(1), grad_inputs[0], strides,

      "DenseBincount",
      "DataFormatDimMap",
      "DataFormatVecPermute",
      "DepthToSpace",
      "DepthwiseConv2dNative",
      "DepthwiseConv2dNativeBackpropFilter",
      "DepthwiseConv2dNativeBackpropInput",
      "Dequantize",
      "Diag",
      "DynamicInfeedEnqueueTupleOp",
      "DynamicInfeedDequeueTupleOp",
      "DynamicStitch",
      "DynamicPartition",
      "Einsum",

the `filter` input of the convolution.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_DepthwiseConv2dNativeBackpropInputOp : TF_Op<"DepthwiseConv2dNativeBackpropInput", [Pure]> {
  let summary = [{
Computes the gradients of depthwise convolution with respect to the input.
  }];

  let arguments = (ins