INT16 = 7,
  COMPLEX64 = 8,
  INT8 = 9,
  FLOAT64 = 10,
  COMPLEX128 = 11,
  UINT64 = 12,
  // Experimental: Resource and variant types are experimental, that are subject
  // to change. Do not implement custom kernels using resource & variant types
  // now.
  RESOURCE = 13,
  VARIANT = 14,
  UINT32 = 15,
}

// Custom quantization parameters for experimenting with new quantization
// techniques.

  repeated string items = 1;
}

// LocalSubjectAccessReview checks whether or not a user or group can perform an action in a given namespace.
// Having a namespace scoped resource makes it much easier to grant namespace scoped policy that includes permissions
// checking.
message LocalSubjectAccessReview {
  // Standard list metadata.

  repeated string items = 1;
}

// LocalSubjectAccessReview checks whether or not a user or group can perform an action in a given namespace.
// Having a namespace scoped resource makes it much easier to grant namespace scoped policy that includes permissions
// checking.
message LocalSubjectAccessReview {
  // Standard list metadata.

Additional IP Rights Grant (Patents)

"This implementation" means the copyrightable works distributed by
Google as part of the Go project.

Google hereby grants to You a perpetual, worldwide, non-exclusive,
no-charge, royalty-free, irrevocable (except as stated in this section)
patent license to make, have made, use, offer to sell, sell, import,
transfer and otherwise run, modify and propagate the contents of this

  return %result : tensor<i32>
}

// CHECK-LABEL: @NopMapFnBody
func.func private @NopMapFnBody(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<!tf_type.variant<tensor<*xf32>>>) -> () {

  func.func @unsupported_dtype(%arg0: tensor<2x!tf_type.variant>) -> tensor<2x!tf_type.variant> {
    // CHECK: tf.AddN
    // expected-remark@+1 {{skipping legalization due to unsupported type 'tensor<2x!tf_type.variant>'}}
    %0 = "tf.AddN"(%arg0, %arg0) : (tensor<2x!tf_type.variant>, tensor<2x!tf_type.variant>) -> tensor<2x!tf_type.variant>

    func.return %0 : tensor<2x!tf_type.variant>
  }

  // CHECK-LABEL: multiple_dialect_ops

  let summary = [{
Converts the given variant tensor to an iterator and stores it in the given resource.
  }];

  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
  );

//===----------------------------------------------------------------------===//
// String/variant/resource types (including corresponding reference types)

def TF_Str : AnyTypeOf<
  [TF_TensorFlowType<"String", "str">, TF_StrRef], "string">;
def TF_StrTensor : TensorOf<[TF_Str]>;

def TF_Variant : AnyTypeOf<
  [TF_TensorFlowType<"Variant", "var">, TF_VariantRef], "variant">;
def TF_VariantTensor : TensorOf<[TF_Variant]>;

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable

  %1 = "tf.TensorListGetItem"(%0, %arg2, %arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<!tf_type.variant<tensor<1x32xf32>>>, tensor<i32>, tensor<2xi32>) -> tensor<1x32xf32>