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message.cc
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// Copyright 2016 The TensorFlow Authors. All Rights Reserved.
// Modifications copyright (C) 2019 Uber Technologies, Inc.
// Modifications copyright Microsoft
//
// 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.
// =============================================================================
#include "message.h"
#include <iostream>
#include "wire/message_generated.h"
namespace horovod {
namespace common {
const std::string& DataType_Name(DataType value) {
switch (value) {
case HOROVOD_UINT8:
static const std::string uint8("uint8");
return uint8;
case HOROVOD_INT8:
static const std::string int8("int8");
return int8;
case HOROVOD_UINT16:
static const std::string uint16("uint16");
return uint16;
case HOROVOD_INT16:
static const std::string int16("int16");
return int16;
case HOROVOD_INT32:
static const std::string int32("int32");
return int32;
case HOROVOD_INT64:
static const std::string int64("int64");
return int64;
case HOROVOD_FLOAT16:
static const std::string float16("float16");
return float16;
case HOROVOD_FLOAT32:
static const std::string float32("float32");
return float32;
case HOROVOD_FLOAT64:
static const std::string float64("float64");
return float64;
case HOROVOD_BOOL:
static const std::string bool_("bool");
return bool_;
default:
static const std::string unknown("<unknown>");
return unknown;
}
}
std::size_t DataType_Size(DataType value) {
switch (value) {
case HOROVOD_UINT8:
return sizeof(u_int8_t);
case HOROVOD_INT8:
return sizeof(int8_t);
case HOROVOD_UINT16:
return sizeof(u_int16_t);
case HOROVOD_INT16:
return sizeof(int16_t);
case HOROVOD_INT32:
return sizeof(int32_t);
case HOROVOD_INT64:
return sizeof(int64_t);
case HOROVOD_FLOAT16:
return 2;
case HOROVOD_FLOAT32:
return sizeof(float);
case HOROVOD_FLOAT64:
return sizeof(double);
case HOROVOD_BOOL:
return sizeof(bool);
default:
throw std::logic_error("Type " + DataType_Name(value) +
" is not supported.");
}
}
const std::string& Request::RequestType_Name(RequestType value) {
switch (value) {
case RequestType::ALLREDUCE:
static const std::string allreduce("ALLREDUCE");
return allreduce;
case RequestType::ALLGATHER:
static const std::string allgather("ALLGATHER");
return allgather;
case RequestType::BROADCAST:
static const std::string broadcast("BROADCAST");
return broadcast;
case RequestType::JOIN:
static const std::string join("JOIN");
return join;
case RequestType::ADASUM:
static const std::string adasum("ADASUM");
return adasum;
default:
static const std::string unknown("<unknown>");
return unknown;
}
}
int32_t Request::request_rank() const { return request_rank_; }
void Request::set_request_rank(int32_t value) { request_rank_ = value; }
Request::RequestType Request::request_type() const {
return request_type_;
}
void Request::set_request_type(RequestType value) { request_type_ = value; }
DataType Request::tensor_type() const { return tensor_type_; }
void Request::set_tensor_type(DataType value) { tensor_type_ = value; }
const std::string& Request::tensor_name() const { return tensor_name_; }
void Request::set_tensor_name(const std::string& value) {
tensor_name_ = value;
}
int32_t Request::root_rank() const { return root_rank_; }
void Request::set_root_rank(int32_t value) { root_rank_ = value; }
int32_t Request::device() const { return device_; }
void Request::set_device(int32_t value) { device_ = value; }
const std::vector<int64_t>& Request::tensor_shape() const {
return tensor_shape_;
}
void Request::set_tensor_shape(const std::vector<int64_t>& value) {
tensor_shape_ = value;
}
void Request::add_tensor_shape(int64_t value) {
tensor_shape_.push_back(value);
}
namespace {
void Request_ParseFromWire(Request& request,
const wire::Request* obj) {
request.set_request_rank(obj->request_rank());
request.set_request_type((Request::RequestType) obj->request_type());
request.set_tensor_type((DataType) obj->tensor_type());
request.set_tensor_name(obj->tensor_name()->str());
request.set_root_rank(obj->root_rank());
request.set_device(obj->device());
request.set_tensor_shape(std::vector<int64_t>(obj->tensor_shape()->begin(),
obj->tensor_shape()->end()));
}
void Request_SerializeToWire(const Request& request,
flatbuffers::FlatBufferBuilder& builder,
flatbuffers::Offset<wire::Request>& obj) {
// FlatBuffers must be built bottom-up.
auto tensor_name_wire = builder.CreateString(request.tensor_name());
auto tensor_shape_wire = builder.CreateVector(request.tensor_shape());
wire::RequestBuilder request_builder(builder);
request_builder.add_request_rank(request.request_rank());
request_builder.add_request_type(
(wire::RequestType) request.request_type());
request_builder.add_tensor_type((wire::DataType) request.tensor_type());
request_builder.add_tensor_name(tensor_name_wire);
request_builder.add_root_rank(request.root_rank());
request_builder.add_device(request.device());
request_builder.add_tensor_shape(tensor_shape_wire);
obj = request_builder.Finish();
}
} // namespace
void Request::ParseFromBytes(Request& request, const uint8_t* input) {
auto obj = flatbuffers::GetRoot<wire::Request>(input);
Request_ParseFromWire(request, obj);
}
void Request::SerializeToString(const Request& request,
std::string& output) {
flatbuffers::FlatBufferBuilder builder(1024);
flatbuffers::Offset<wire::Request> obj;
Request_SerializeToWire(request, builder, obj);
builder.Finish(obj);
uint8_t* buf = builder.GetBufferPointer();
auto size = builder.GetSize();
output = std::string((char*) buf, size);
}
const std::vector<Request>& RequestList::requests() const {
return requests_;
}
void RequestList::set_requests(const std::vector<Request>& value) {
requests_ = value;
}
bool RequestList::shutdown() const { return shutdown_; }
void RequestList::set_shutdown(bool value) { shutdown_ = value; }
void RequestList::add_request(const Request& value) {
requests_.push_back(value);
}
void RequestList::emplace_request(Request&& value) {
requests_.emplace_back(value);
}
void RequestList::ParseFromBytes(RequestList& request_list,
const uint8_t* input) {
auto obj = flatbuffers::GetRoot<wire::RequestList>(input);
for (const auto& req_obj : *obj->requests()) {
Request request;
Request_ParseFromWire(request, req_obj);
request_list.emplace_request(std::move(request));
}
request_list.set_shutdown(obj->shutdown());
}
void RequestList::SerializeToString(const RequestList& request_list,
std::string& output) {
// FlatBuffers must be built bottom-up.
flatbuffers::FlatBufferBuilder builder(1024);
std::vector<flatbuffers::Offset<wire::Request>> requests;
requests.reserve(request_list.requests().size());
for (const auto& req : request_list.requests()) {
flatbuffers::Offset<wire::Request> req_obj;
Request_SerializeToWire(req, builder, req_obj);
requests.push_back(req_obj);
}
auto requests_wire = builder.CreateVector(requests);
wire::RequestListBuilder request_list_builder(builder);
request_list_builder.add_requests(requests_wire);
request_list_builder.add_shutdown(request_list.shutdown());
auto obj = request_list_builder.Finish();
builder.Finish(obj);
uint8_t* buf = builder.GetBufferPointer();
auto size = builder.GetSize();
output = std::string((char*) buf, size);
}
const std::string& Response::ResponseType_Name(ResponseType value) {
switch (value) {
case ResponseType::ALLREDUCE:
static const std::string allreduce("ALLREDUCE");
return allreduce;
case ResponseType::ALLGATHER:
static const std::string allgather("ALLGATHER");
return allgather;
case ResponseType::BROADCAST:
static const std::string broadcast("BROADCAST");
return broadcast;
case ResponseType::JOIN:
static const std::string join("JOIN");
return join;
case ResponseType::ADASUM:
static const std::string adasum("ADASUM");
return adasum;
case ResponseType::ERROR:
static const std::string error("ERROR");
return error;
default:
static const std::string unknown("<unknown>");
return unknown;
}
}
Response::ResponseType Response::response_type() const {
return response_type_;
}
void Response::set_response_type(ResponseType value) {
response_type_ = value;
}
const std::vector<std::string>& Response::tensor_names() const {
return tensor_names_;
}
DataType Response::tensor_type() const { return tensor_type_; }
void Response::set_tensor_type(DataType value) { tensor_type_ = value; }
const std::string Response::tensor_names_string() const {
std::string result;
bool is_first_name = true;
for (auto const& s : tensor_names_) {
if (!is_first_name) {
result += ", ";
} else {
is_first_name = false;
}
result += s;
}
return result;
}
void Response::set_tensor_names(const std::vector<std::string>& value) {
tensor_names_ = value;
}
void Response::add_tensor_name(const std::string& value) {
tensor_names_.push_back(value);
}
const std::string& Response::error_message() const { return error_message_; }
void Response::set_error_message(const std::string& value) {
error_message_ = value;
}
const std::vector<int32_t>& Response::devices() const { return devices_; }
void Response::set_devices(const std::vector<int32_t>& value) {
devices_ = value;
}
void Response::add_device(int32_t value) { devices_.push_back(value); }
const std::vector<int64_t>& Response::tensor_sizes() const {
return tensor_sizes_;
}
void Response::set_tensor_sizes(const std::vector<int64_t>& value) {
tensor_sizes_ = value;
}
void Response::add_tensor_size(int64_t value) {
tensor_sizes_.push_back(value);
}
void Response::add_allgather_response(const Response& response) {
assert(response_type() == Response::ResponseType::ALLGATHER);
assert(response.tensor_names().size() == 1);
assert(response.devices() == devices());
add_tensor_name(response.tensor_names()[0]);
for (auto size : response.tensor_sizes()) {
add_tensor_size(size);
}
}
void Response_ParseFromWire(Response& response,
const wire::Response* obj) {
response.set_response_type((Response::ResponseType) obj->response_type());
for (const auto& tensor_name_obj : *obj->tensor_names()) {
response.add_tensor_name(tensor_name_obj->str());
}
response.set_tensor_type((DataType) obj->tensor_type());
response.set_error_message(obj->error_message()->str());
response.set_devices(
std::vector<int32_t>(obj->devices()->begin(), obj->devices()->end()));
response.set_tensor_sizes(std::vector<int64_t>(obj->tensor_sizes()->begin(),
obj->tensor_sizes()->end()));
}
void Response::ParseFromBytes(Response& response, const uint8_t* input) {
auto obj = flatbuffers::GetRoot<wire::Response>(input);
Response_ParseFromWire(response, obj);
}
void Response_SerializeToWire(const Response& response,
flatbuffers::FlatBufferBuilder& builder,
flatbuffers::Offset<wire::Response>& obj) {
// FlatBuffers must be built bottom-up.
auto tensor_names_wire =
builder.CreateVectorOfStrings(response.tensor_names());
auto error_message_wire = builder.CreateString(response.error_message());
auto devices_wire = builder.CreateVector(response.devices());
auto tensor_sizes_wire = builder.CreateVector(response.tensor_sizes());
wire::ResponseBuilder response_builder(builder);
response_builder.add_response_type(
(wire::ResponseType) response.response_type());
response_builder.add_tensor_names(tensor_names_wire);
response_builder.add_tensor_type(
(wire::DataType) response.tensor_type());
response_builder.add_error_message(error_message_wire);
response_builder.add_devices(devices_wire);
response_builder.add_tensor_sizes(tensor_sizes_wire);
obj = response_builder.Finish();
}
void Response::SerializeToString(const Response& response,
std::string& output) {
flatbuffers::FlatBufferBuilder builder(1024);
flatbuffers::Offset<wire::Response> obj;
Response_SerializeToWire(response, builder, obj);
builder.Finish(obj);
uint8_t* buf = builder.GetBufferPointer();
auto size = builder.GetSize();
output = std::string((char*) buf, size);
}
const std::vector<Response>& ResponseList::responses() const {
return responses_;
}
void ResponseList::set_responses(const std::vector<Response>& value) {
responses_ = value;
}
bool ResponseList::shutdown() const { return shutdown_; }
void ResponseList::set_shutdown(bool value) { shutdown_ = value; }
void ResponseList::add_response(const Response& value) {
responses_.push_back(value);
}
void ResponseList::emplace_response(Response&& value) {
responses_.emplace_back(value);
}
void ResponseList::ParseFromBytes(ResponseList& response_list,
const uint8_t* input) {
auto obj = flatbuffers::GetRoot<wire::ResponseList>(input);
for (const auto& resp_obj : *obj->responses()) {
Response response;
Response_ParseFromWire(response, resp_obj);
response_list.emplace_response(std::move(response));
}
response_list.set_shutdown(obj->shutdown());
}
void ResponseList::SerializeToString(const ResponseList& response_list,
std::string& output) {
// FlatBuffers must be built bottom-up.
flatbuffers::FlatBufferBuilder builder(1024);
std::vector<flatbuffers::Offset<wire::Response>> responses;
responses.reserve(response_list.responses().size());
for (const auto& resp : response_list.responses()) {
flatbuffers::Offset<wire::Response> resp_obj;
Response_SerializeToWire(resp, builder, resp_obj);
responses.push_back(resp_obj);
}
auto responses_wire = builder.CreateVector(responses);
wire::ResponseListBuilder response_list_builder(builder);
response_list_builder.add_responses(responses_wire);
response_list_builder.add_shutdown(response_list.shutdown());
auto obj = response_list_builder.Finish();
builder.Finish(obj);
uint8_t* buf = builder.GetBufferPointer();
auto size = builder.GetSize();
output = std::string((char*) buf, size);
}
} // namespace common
} // namespace horovod