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      1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #ifndef TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
     17 #define TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
     18 
     19 #include "tensorflow/compiler/tf2xla/xla_op_kernel.h"
     20 #include "tensorflow/core/framework/attr_value.pb.h"
     21 
     22 namespace tensorflow {
     23 
     24 // This TensorFlow op provides a functional iteration primitive.
     25 //
     26 // The inputs and outputs of the loop body must agree on the number, types, and
     27 // shapes of the Tensors carried around the loop body.
     28 //
     29 // Computations in while loops may read from and write to resource variables.
     30 // Resource variables may be passed as arguments to a function's body and
     31 // condition functions. The XlaCompiler converts resource variable arguments
     32 // into parameters to the XLA computation and moves them to the end of the
     33 // parameter list, and by using the `return_updated_values_for_all_variables`
     34 // we ensure that all variables that appear in the input also appear at the
     35 // end of the body's output. This ensures the loop body's input and output
     36 // signatures match.
     37 //
     38 // It is the user's responsibility to ensure that each non-variable _Arg matches
     39 // the corresponding _Retval.
     40 //
     41 // For example, suppose we have a loop body with arguments:
     42 // DT_INT32, DT_RESOURCE (pointing to a DT_BOOL var), DT_FLOAT
     43 // and return values
     44 // DT_INT32, DT_FLOAT
     45 // It is an error for the body to return DT_RESOURCE values.
     46 //
     47 // The body will be lowered into an XLA computation that takes and returns a
     48 // tuple with XLA type (I32, F32, PRED). Note the resource variable appears at
     49 // the end of both the loop body's input and output argument lists.
     50 class XlaWhileOp : public XlaOpKernel {
     51  public:
     52   explicit XlaWhileOp(OpKernelConstruction* ctx);
     53 
     54   void Compile(XlaOpKernelContext* ctx) override;
     55 
     56  private:
     57   NameAttrList cond_name_attr_;
     58   NameAttrList body_name_attr_;
     59 
     60   TF_DISALLOW_COPY_AND_ASSIGN(XlaWhileOp);
     61 };
     62 
     63 }  // namespace tensorflow
     64 
     65 #endif  // TENSORFLOW_COMPILER_TF2XLA_KERNELS_WHILE_OP_H_
     66