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mpi_message.cc
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mpi_message.cc
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// Copyright 2016 The TensorFlow Authors. All Rights Reserved.
// Modifications copyright (C) 2018 Uber Technologies, Inc.
//
// 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 "mpi_message.h"
#include "wire/mpi_message_generated.h"
#include <iostream>
namespace horovod {
namespace common {
const std::string& MPIDataType_Name(MPIDataType 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_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;
}
}
const std::string& MPIRequest::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;
default:
static const std::string unknown("<unknown>");
return unknown;
}
}
int32_t MPIRequest::request_rank() const { return request_rank_; }
void MPIRequest::set_request_rank(int32_t value) { request_rank_ = value; }
MPIRequest::RequestType MPIRequest::request_type() const {
return request_type_;
}
void MPIRequest::set_request_type(RequestType value) { request_type_ = value; }
MPIDataType MPIRequest::tensor_type() const { return tensor_type_; }
void MPIRequest::set_tensor_type(MPIDataType value) { tensor_type_ = value; }
const std::string& MPIRequest::tensor_name() const { return tensor_name_; }
void MPIRequest::set_tensor_name(const std::string& value) {
tensor_name_ = value;
}
int32_t MPIRequest::root_rank() const { return root_rank_; }
void MPIRequest::set_root_rank(int32_t value) { root_rank_ = value; }
int32_t MPIRequest::device() const { return device_; }
void MPIRequest::set_device(int32_t value) { device_ = value; }
const std::vector<int64_t>& MPIRequest::tensor_shape() const {
return tensor_shape_;
}
void MPIRequest::set_tensor_shape(const std::vector<int64_t>& value) {
tensor_shape_ = value;
}
void MPIRequest::add_tensor_shape(int64_t value) {
tensor_shape_.push_back(value);
}
namespace {
void MPIRequest_ParseFromWire(MPIRequest& request,
const wire::MPIRequest* obj) {
request.set_request_rank(obj->request_rank());
request.set_request_type((MPIRequest::RequestType)obj->request_type());
request.set_tensor_type((MPIDataType)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 MPIRequest_SerializeToWire(const MPIRequest& request,
flatbuffers::FlatBufferBuilder& builder,
flatbuffers::Offset<wire::MPIRequest>& 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::MPIRequestBuilder request_builder(builder);
request_builder.add_request_rank(request.request_rank());
request_builder.add_request_type(
(wire::MPIRequestType)request.request_type());
request_builder.add_tensor_type((wire::MPIDataType)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 MPIRequest::ParseFromString(MPIRequest& request,
const std::string& input) {
auto obj = flatbuffers::GetRoot<wire::MPIRequest>((uint8_t*)input.c_str());
MPIRequest_ParseFromWire(request, obj);
}
void MPIRequest::SerializeToString(MPIRequest& request, std::string& output) {
flatbuffers::FlatBufferBuilder builder(1024);
flatbuffers::Offset<wire::MPIRequest> obj;
MPIRequest_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<MPIRequest>& MPIRequestList::requests() const {
return requests_;
}
void MPIRequestList::set_requests(const std::vector<MPIRequest>& value) {
requests_ = value;
}
bool MPIRequestList::shutdown() const { return shutdown_; }
void MPIRequestList::set_shutdown(bool value) { shutdown_ = value; }
void MPIRequestList::add_requests(const MPIRequest& value) {
requests_.push_back(value);
}
void MPIRequestList::ParseFromString(MPIRequestList& request_list,
const std::string& input) {
auto obj =
flatbuffers::GetRoot<wire::MPIRequestList>((uint8_t*)input.c_str());
for (const auto& req_obj : *obj->requests()) {
MPIRequest request;
MPIRequest_ParseFromWire(request, req_obj);
request_list.add_requests(std::move(request));
}
request_list.set_shutdown(obj->shutdown());
}
void MPIRequestList::SerializeToString(MPIRequestList& request_list,
std::string& output) {
// FlatBuffers must be built bottom-up.
flatbuffers::FlatBufferBuilder builder(1024);
std::vector<flatbuffers::Offset<wire::MPIRequest>> requests;
for (const auto& req : request_list.requests()) {
flatbuffers::Offset<wire::MPIRequest> req_obj;
MPIRequest_SerializeToWire(req, builder, req_obj);
requests.push_back(req_obj);
}
auto requests_wire = builder.CreateVector(requests);
wire::MPIRequestListBuilder 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& MPIResponse::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::ERROR:
static const std::string error("ERROR");
return error;
default:
static const std::string unknown("<unknown>");
return unknown;
}
}
MPIResponse::ResponseType MPIResponse::response_type() const {
return response_type_;
}
void MPIResponse::set_response_type(ResponseType value) {
response_type_ = value;
}
const std::vector<std::string>& MPIResponse::tensor_names() const {
return tensor_names_;
}
void MPIResponse::set_tensor_names(const std::vector<std::string>& value) {
tensor_names_ = value;
}
void MPIResponse::add_tensor_names(const std::string& value) {
tensor_names_.push_back(value);
}
const std::string& MPIResponse::error_message() const { return error_message_; }
void MPIResponse::set_error_message(const std::string& value) {
error_message_ = value;
}
const std::vector<int32_t>& MPIResponse::devices() const { return devices_; }
void MPIResponse::set_devices(const std::vector<int32_t>& value) {
devices_ = value;
}
void MPIResponse::add_devices(int32_t value) { devices_.push_back(value); }
const std::vector<int64_t>& MPIResponse::tensor_sizes() const {
return tensor_sizes_;
}
void MPIResponse::set_tensor_sizes(const std::vector<int64_t>& value) {
tensor_sizes_ = value;
}
void MPIResponse::add_tensor_sizes(int64_t value) {
tensor_sizes_.push_back(value);
}
void MPIResponse_ParseFromWire(MPIResponse& response,
const wire::MPIResponse* obj) {
response.set_response_type((MPIResponse::ResponseType)obj->response_type());
for (const auto& tensor_name_obj : *obj->tensor_names()) {
response.add_tensor_names(tensor_name_obj->str());
}
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 MPIResponse::ParseFromString(MPIResponse& response,
const std::string& input) {
auto obj = flatbuffers::GetRoot<wire::MPIResponse>((uint8_t*)input.c_str());
MPIResponse_ParseFromWire(response, obj);
}
void MPIResponse_SerializeToWire(const MPIResponse& response,
flatbuffers::FlatBufferBuilder& builder,
flatbuffers::Offset<wire::MPIResponse>& 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::MPIResponseBuilder response_builder(builder);
response_builder.add_response_type(
(wire::MPIResponseType)response.response_type());
response_builder.add_tensor_names(tensor_names_wire);
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 MPIResponse::SerializeToString(MPIResponse& response,
std::string& output) {
flatbuffers::FlatBufferBuilder builder(1024);
flatbuffers::Offset<wire::MPIResponse> obj;
MPIResponse_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<MPIResponse>& MPIResponseList::responses() const {
return responses_;
}
void MPIResponseList::set_responses(const std::vector<MPIResponse>& value) {
responses_ = value;
}
bool MPIResponseList::shutdown() const { return shutdown_; }
void MPIResponseList::set_shutdown(bool value) { shutdown_ = value; }
void MPIResponseList::add_responses(const MPIResponse& value) {
responses_.push_back(value);
}
void MPIResponseList::ParseFromString(MPIResponseList& response_list,
const std::string& input) {
auto obj =
flatbuffers::GetRoot<wire::MPIResponseList>((uint8_t*)input.c_str());
for (const auto& resp_obj : *obj->responses()) {
MPIResponse response;
MPIResponse_ParseFromWire(response, resp_obj);
response_list.add_responses(std::move(response));
}
response_list.set_shutdown(obj->shutdown());
}
void MPIResponseList::SerializeToString(MPIResponseList& response_list,
std::string& output) {
// FlatBuffers must be built bottom-up.
flatbuffers::FlatBufferBuilder builder(1024);
std::vector<flatbuffers::Offset<wire::MPIResponse>> responses;
for (const auto& resp : response_list.responses()) {
flatbuffers::Offset<wire::MPIResponse> resp_obj;
MPIResponse_SerializeToWire(resp, builder, resp_obj);
responses.push_back(resp_obj);
}
auto responses_wire = builder.CreateVector(responses);
wire::MPIResponseListBuilder 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