// Copyright 2026 The TensorFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// ==============================================================================

syntax = "proto2";

package tensorflow;

import "tensorflow/core/framework/node_def.proto";
import "tensorflow/core/framework/tensor.proto";
import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.proto";

message TfCallbackData {
  message BufferDescription {
    optional TensorShapeProto shape = 1;
    optional DataType type = 2;
  }

  message InputBufferDescription {
    optional BufferDescription buffer_description = 1;

    // The input value might be already fixed at the compilation time.
    // This value may or may not be present.
    optional TensorProto value = 2;
  }

  message OutputBufferDescription {
    optional BufferDescription buffer_description = 1;
    // Whether the buffer stores dynamically padded data: in that case, actual
    // concrete dimensions need to be stored after the buffer.
    optional bool is_dynamically_padded = 2;
  }

  optional tensorflow.NodeDef op = 1;
  repeated InputBufferDescription inputs = 2;
  repeated OutputBufferDescription outputs = 3;
}