[(IsRank4Tensor $input), (IsRank2Tensor $crops)], [(CopyAttrs $src, $dest)]>;

//===----------------------------------------------------------------------===//
// BiasAddV1 op patterns.
//===----------------------------------------------------------------------===//

def BiasAddV1ToBiasAdd : Pat<
  (TF_BiasAddV1Op:$src $arg0, $arg1),
  (TF_BiasAddOp:$dest $arg0, $arg1,

    BiasAddOp bias_add = GetBiasAdd(contraction.getResult());
    if (!bias_add) {
      return rewriter.notifyMatchFailure(
          contraction, "does not feed into a tf.BiasAdd/tf.BiasAddV1 op");
    }

    if (!AreFuseCompatible(contraction, bias_add, rewriter)) {
      return rewriter.notifyMatchFailure(
          contraction, "cannot fuse with the subsequent BiasAdd op");
    }

      "BatchMatMul",
      "BatchMatMulV2",
      "BatchMatMulV3",
      "BatchToSpace",
      "BatchToSpaceND",
      "BesselI0e",
      "BesselI1e",
      "Betainc",
      "BiasAddV1",
      "Bincount",
      "Bucketize",
      "Case",
      "CheckNumerics",
      "Cholesky",
      "ControlTrigger",
      "Conv",
      "Conv2D",
      "Conv2DBackpropFilter",

  // CHECK: "tf.BiasAdd"(%arg0, %arg1) <{data_format = "NHWC"}> {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<*xf32>, tensor<128xf32>) -> tensor<*xf32>
  %0 = "tf.BiasAddV1"(%arg0, %arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<*xf32>, tensor<128xf32>) -> tensor<*xf32>
  func.return %0: tensor<*xf32>
}

// CHECK-LABEL: func @testLeakyRelu

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;

  let hasVerifier = 1;
}

def TF_BiasAddV1Op : TF_Op<"BiasAddV1", [Pure]> {
  let summary = "Adds `bias` to `value`.";

  let description = [{
This is a deprecated version of BiasAdd and will be soon removed.