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 #include "tensorflow/core/common_runtime/rendezvous_util.h"
16 #include "tensorflow/core/platform/mutex.h"
17
18 #include "tensorflow/core/util/reffed_status_callback.h"
19
20 namespace tensorflow {
21
SendTensorsToRendezvous(Rendezvous * rendezvous,DeviceContext * device_context,const std::vector<AllocatorAttributes> & alloc_attrs,const std::vector<string> & keys,gtl::ArraySlice<Tensor> tensors_to_send)22 Status SendTensorsToRendezvous(
23 Rendezvous* rendezvous, DeviceContext* device_context,
24 const std::vector<AllocatorAttributes>& alloc_attrs,
25 const std::vector<string>& keys, gtl::ArraySlice<Tensor> tensors_to_send) {
26 if (keys.size() != tensors_to_send.size()) {
27 return errors::InvalidArgument(
28 "keys and tensors_to_send are not the same size. keys.size() = ",
29 keys.size(), "; tensors_to_send.size() = ", tensors_to_send.size());
30 }
31 if (!alloc_attrs.empty() && (keys.size() != alloc_attrs.size())) {
32 return errors::InvalidArgument(
33 "keys and alloc_attrs are not the same size. ",
34 "keys.size() = ", keys.size(),
35 "; alloc_attrs.size() = ", alloc_attrs.size());
36 }
37
38 if (!rendezvous) {
39 return errors::InvalidArgument("Rendezvous is null.");
40 }
41
42 Rendezvous::ParsedKey parsed;
43 for (int i = 0; i < keys.size(); ++i) {
44 Rendezvous::Args rendez_args;
45 rendez_args.device_context = device_context;
46 if (!alloc_attrs.empty()) {
47 rendez_args.alloc_attrs = alloc_attrs[i];
48 }
49 TF_RETURN_IF_ERROR(Rendezvous::ParseKey(keys[i], &parsed));
50 TF_RETURN_IF_ERROR(
51 rendezvous->Send(parsed, rendez_args, tensors_to_send[i], false));
52 }
53 return Status::OK();
54 }
55
RecvOutputsFromRendezvousAsync(Rendezvous * rendezvous,DeviceContext * device_context,const std::vector<AllocatorAttributes> & alloc_attrs,const std::vector<string> & keys,std::vector<Tensor> * received_tensors,StatusCallback done)56 void RecvOutputsFromRendezvousAsync(
57 Rendezvous* rendezvous, DeviceContext* device_context,
58 const std::vector<AllocatorAttributes>& alloc_attrs,
59 const std::vector<string>& keys, std::vector<Tensor>* received_tensors,
60 StatusCallback done) {
61 if (keys.empty()) {
62 done(Status::OK());
63 return;
64 }
65 if (!alloc_attrs.empty() && (keys.size() != alloc_attrs.size())) {
66 done(errors::InvalidArgument(
67 "keys and alloc_attrs are not the same size. ", "keys.size() = ",
68 keys.size(), "; alloc_attrs.size() = ", alloc_attrs.size()));
69 }
70
71 received_tensors->reserve(keys.size());
72 std::vector<
73 std::tuple<string, Tensor*, Rendezvous::ParsedKey, AllocatorAttributes>>
74 arguments;
75 for (int i = 0; i < keys.size(); ++i) {
76 Rendezvous::ParsedKey parsed;
77 Status s = Rendezvous::ParseKey(keys[i], &parsed);
78 received_tensors->push_back(Tensor());
79 if (!s.ok()) {
80 done(s);
81 return;
82 }
83 AllocatorAttributes alloc_attr;
84 if (!alloc_attrs.empty()) {
85 alloc_attr = alloc_attrs[i];
86 }
87 arguments.emplace_back(keys[i], &((*received_tensors)[i]), parsed,
88 alloc_attr);
89 }
90
91 auto status_cb = new ReffedStatusCallback(std::move(done));
92 for (auto& p : arguments) {
93 const string& key = std::get<0>(p);
94 Tensor* val = std::get<1>(p);
95 Rendezvous::ParsedKey parsed = std::get<2>(p);
96 Rendezvous::Args rendez_args;
97 rendez_args.device_context = device_context;
98 rendez_args.alloc_attrs = std::get<3>(p);
99 status_cb->Ref();
100 rendezvous->RecvAsync(
101 parsed, rendez_args,
102 [val, key, status_cb](const Status& s,
103 const Rendezvous::Args& send_args,
104 const Rendezvous::Args& recv_args,
105 const Tensor& v, const bool is_dead) {
106 Status status = s;
107 if (status.ok()) {
108 *val = v;
109 if (is_dead) {
110 status = errors::InvalidArgument("The tensor returned for ", key,
111 " was not valid.");
112 }
113 }
114 status_cb->UpdateStatus(status);
115 status_cb->Unref();
116 });
117 }
118 status_cb->Unref();
119 }
120
RecvOutputsFromRendezvous(Rendezvous * rendezvous,NamedTensors * out,const Rendezvous::Args & args)121 Status RecvOutputsFromRendezvous(Rendezvous* rendezvous, NamedTensors* out,
122 const Rendezvous::Args& args) {
123 // Receives values requested by the caller.
124 Rendezvous::ParsedKey parsed;
125 for (auto& p : *out) {
126 const string& key = p.first;
127 Tensor* val = &p.second;
128 bool is_dead = false;
129 TF_RETURN_IF_ERROR(Rendezvous::ParseKey(key, &parsed));
130 TF_RETURN_IF_ERROR(rendezvous->Recv(parsed, args, val, &is_dead));
131 if (is_dead) {
132 return errors::InvalidArgument("The tensor returned for ", key,
133 " was not valid.");
134 }
135 }
136 return Status::OK();
137 }
138
139 } // namespace tensorflow
140