"parameters": [
          {

        },
        {

			if v_0.Op != OpLsh16x64 {
				continue
			}
			_ = v_0.Args[1]
			x := v_0.Args[0]
			z := v_0.Args[1]
			if z.Op != OpConst64 {
				continue
			}
			c := auxIntToInt64(z.AuxInt)
			if v_1.Op != OpRsh16Ux64 {
				continue
			}
			_ = v_1.Args[1]
			if x != v_1.Args[0] {
				continue
			}
			v_1_1 := v_1.Args[1]
			if v_1_1.Op != OpConst64 {

				continue
			}
			y := v_1.Args[0]
			v.reset(OpAMD64LEAL2)
			v.AddArg2(x, y)
			return true
		}
		break
	}
	// match: (ADDL x (ADDL y y))
	// result: (LEAL2 x y)
	for {
		for _i0 := 0; _i0 <= 1; _i0, v_0, v_1 = _i0+1, v_1, v_0 {
			x := v_0
			if v_1.Op != OpAMD64ADDL {
				continue
			}
			y := v_1.Args[1]
			if y != v_1.Args[0] {
				continue
			}

			if v_0.Op != OpARM64UBFIZ {
				continue
			}
			bfc := auxIntToArm64BitField(v_0.AuxInt)
			x := v_0.Args[0]
			if v_1.Op != OpARM64ANDconst {
				continue
			}
			ac := auxIntToInt64(v_1.AuxInt)
			y := v_1.Args[0]
			if !(ac == ^((1<<uint(bfc.getARM64BFwidth()) - 1) << uint(bfc.getARM64BFlsb()))) {
				continue
			}
			v.reset(OpARM64BFI)

		{"(Token).Close", Method, 0},
		{"(Token).GetTokenPrimaryGroup", Method, 0},
		{"(Token).GetTokenUser", Method, 0},
		{"(Token).GetUserProfileDirectory", Method, 0},
		{"(WaitStatus).Continued", Method, 0},
		{"(WaitStatus).CoreDump", Method, 0},
		{"(WaitStatus).ExitStatus", Method, 0},
		{"(WaitStatus).Exited", Method, 0},
		{"(WaitStatus).Signal", Method, 0},

*   Keras 3.0 will be the default Keras version. You may need to update your
    script to use Keras 3.0.

*   Please refer to the new Keras documentation for Keras 3.0
    (https://keras.io/keras_3).

*   To continue using Keras 2.0, do the following.

*   1.  Install tf-keras via pip install tf-keras~=2.16

    1.  To switch tf.keras to use Keras 2 (tf-keras), set the environment

				continue
			}
			if !strings.Contains(err.Error(), expectedErr) {
				t.Errorf("%s: expected err on field %s to contain '%s', was %v", k, err.Field, expectedErr, err.Error())
				continue
			}
		}
		if len(errs) != len(tc.expectedErrs) {
			t.Errorf("%s: expected errs %#v, got %#v", k, tc.expectedErrs, errs)
			continue
		}
	}
}

  }];

  let arguments = (ins
    Arg<TF_ResourceTensor, [{A handle to an iterator resource.}], [TF_DatasetIteratorWrite]>:$resource_handle,
    Arg<TF_VariantTensor, [{A variant tensor storing the state of the iterator contained in the
resource.}]>:$serialized
  );

  let results = (outs);
}

def TF_DeserializeSparseOp : TF_Op<"DeserializeSparse", [Pure]> {
  let summary = "Deserialize `SparseTensor` objects.";