1 /* Copyright 2020 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 #include "Python.h"
17 #include "pybind11/chrono.h"
18 #include "pybind11/complex.h"
19 #include "pybind11/detail/common.h"
20 #include "pybind11/functional.h"
21 #include "pybind11/pybind11.h"
22 #include "pybind11/pytypes.h"
23 #include "pybind11/stl.h"
24 #include "tensorflow/core/data/service/dispatcher_client.h"
25 #include "tensorflow/core/data/service/grpc_util.h"
26 #include "tensorflow/core/data/service/server_lib.h"
27 #include "tensorflow/core/platform/errors.h"
28 #include "tensorflow/core/platform/types.h"
29 #include "tensorflow/core/protobuf/service_config.pb.h"
30 #include "tensorflow/python/lib/core/pybind11_lib.h"
31 #include "tensorflow/python/lib/core/pybind11_status.h"
32
33 namespace py = pybind11;
34
PYBIND11_MODULE(_pywrap_server_lib,m)35 PYBIND11_MODULE(_pywrap_server_lib, m) {
36 py::class_<tensorflow::data::DispatchGrpcDataServer>(m,
37 "DispatchGrpcDataServer")
38 .def("start", &tensorflow::data::DispatchGrpcDataServer::Start)
39 .def("stop", &tensorflow::data::DispatchGrpcDataServer::Stop)
40 .def("join", &tensorflow::data::DispatchGrpcDataServer::Join,
41 py::call_guard<py::gil_scoped_release>())
42 .def("bound_port", &tensorflow::data::DispatchGrpcDataServer::BoundPort)
43 .def("num_workers",
44 [](tensorflow::data::DispatchGrpcDataServer* server) -> int {
45 int num_workers;
46 tensorflow::Status status = server->NumWorkers(&num_workers);
47 tensorflow::MaybeRaiseFromStatus(status);
48 return num_workers;
49 });
50
51 py::class_<tensorflow::data::WorkerGrpcDataServer>(m, "WorkerGrpcDataServer")
52 .def("start", &tensorflow::data::WorkerGrpcDataServer::Start)
53 .def("stop", &tensorflow::data::WorkerGrpcDataServer::Stop)
54 .def("join", &tensorflow::data::WorkerGrpcDataServer::Join,
55 py::call_guard<py::gil_scoped_release>())
56 .def("bound_port", &tensorflow::data::WorkerGrpcDataServer::BoundPort)
57 .def("num_tasks",
58 [](tensorflow::data::WorkerGrpcDataServer* server) -> int {
59 int num_tasks;
60 tensorflow::Status status = server->NumTasks(&num_tasks);
61 tensorflow::MaybeRaiseFromStatus(status);
62 return num_tasks;
63 });
64
65 m.def(
66 "TF_DATA_NewDispatchServer",
67 [](std::string serialized_dispatcher_config)
68 -> std::unique_ptr<tensorflow::data::DispatchGrpcDataServer> {
69 tensorflow::data::experimental::DispatcherConfig config;
70 if (!config.ParseFromString(serialized_dispatcher_config)) {
71 tensorflow::MaybeRaiseFromStatus(tensorflow::errors::InvalidArgument(
72 "Failed to deserialize dispatcher config."));
73 }
74 std::unique_ptr<tensorflow::data::DispatchGrpcDataServer> server;
75 tensorflow::Status status =
76 tensorflow::data::NewDispatchServer(config, server);
77 tensorflow::MaybeRaiseFromStatus(status);
78 return server;
79 },
80 py::return_value_policy::reference);
81
82 m.def(
83 "TF_DATA_NewWorkerServer",
84 [](std::string serialized_worker_config)
85 -> std::unique_ptr<tensorflow::data::WorkerGrpcDataServer> {
86 tensorflow::data::experimental::WorkerConfig config;
87 if (!config.ParseFromString(serialized_worker_config)) {
88 tensorflow::MaybeRaiseFromStatus(tensorflow::errors::InvalidArgument(
89 "Failed to deserialize worker config."));
90 }
91 std::unique_ptr<tensorflow::data::WorkerGrpcDataServer> server;
92 tensorflow::Status status =
93 tensorflow::data::NewWorkerServer(config, server);
94 tensorflow::MaybeRaiseFromStatus(status);
95 return server;
96 },
97 py::return_value_policy::reference);
98
99 m.def(
100 "TF_DATA_GetElementSpec",
101 [](int64_t dataset_id, const std::string& address,
102 const std::string& protocol) -> py::bytes {
103 std::string element_spec;
104 tensorflow::data::DataServiceDispatcherClient client(address, protocol);
105 int64_t deadline_micros = tensorflow::kint64max;
106 tensorflow::Status status;
107 Py_BEGIN_ALLOW_THREADS;
108 status = tensorflow::data::grpc_util::Retry(
109 [&]() { return client.GetElementSpec(dataset_id, element_spec); },
110 /*description=*/
111 tensorflow::strings::StrCat(
112 "get the element_spec with dispatcher at ", address),
113 deadline_micros);
114 Py_END_ALLOW_THREADS;
115 tensorflow::MaybeRaiseFromStatus(status);
116 return py::bytes(element_spec);
117 },
118 py::return_value_policy::reference);
119 };
120