/* Copyright 2015 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.*/
// Modification Copyright (C) 2018-2024 Intel Corporation

// Protocol buffer representing slices of a tensor

syntax = "proto3";

package tensorflow;

option cc_enable_arenas = true;
option java_outer_classname = "TensorSliceProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.framework";
option go_package = "github.com/tensorflow/tensorflow/tensorflow/go/core/framework/tensor_slice_go_proto";

// Can only be interpreted if you know the corresponding TensorShape.
message TensorSliceProto {
  // Extent of the slice in one dimension.
  message Extent {
    // Either both or no attributes must be set.  When no attribute is set
    // means: All data in that dimension.

    // Start index of the slice, starting at 0.
    int64 start = 1;

    // Length of the slice: if the length is missing or -1 we will
    // interpret this as "everything in this dimension".  We use
    // "oneof" to preserve information about whether the length is
    // present without changing the serialization format from the
    // prior proto2 version of this proto.
    oneof has_length {
      int64 length = 2;
    }
  }

  // Extent of the slice in all tensor dimensions.
  //
  // Must have one entry for each of the dimension of the tensor that this
  // slice belongs to.  The order of sizes is the same as the order of
  // dimensions in the TensorShape.
  repeated Extent extent = 1;
}
