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chore: import upstream snapshot with attribution
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// 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 = "proto3";
package tensorflow.tf2xla;
import "tensorflow/core/framework/tensor_shape.proto";
import "tensorflow/core/framework/types.proto";
option cc_enable_arenas = true;
option java_outer_classname = "Tf2XlaProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.tf2xla";
// TensorMetadata indicates the type and shape of a Tensor that is
// part of a host compute transfer.
message TensorMetadata {
DataType type = 1;
TensorShapeProto shape = 2;
int64 channel_id = 3;
}
// HostTransferMetadata describes a transfer either from host to device
// or device to host. It has a key that is unique to the computation,
// and metadata about the list of tensors being transferred.
message HostTransferMetadata {
// The key used to identify this transfer.
string key = 1;
// For each Tensor being transferred, its type and shape.
repeated TensorMetadata metadata = 2;
}
// HostComputeMetadata describes all the sends and recvs
// from all host compute transfer ops in a computation.
message HostComputeMetadata {
// Metadata about each device_to_host transfer
repeated HostTransferMetadata device_to_host = 1;
// Metadata about each host_to_device transfer
repeated HostTransferMetadata host_to_device = 2;
}