未验证 提交 f0af1398 编写于 作者: Q Qiao Longfei 提交者: GitHub

add prefetch_op (#9495)

* add prefetch_op

* fix ci

* optimize code

* optimize code

* fix include
上级 fa21436d
......@@ -183,6 +183,8 @@ if(WITH_DISTRIBUTE)
set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
op_library(send_op DEPS ${DISTRIBUTE_DEPS})
set_source_files_properties(send_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
op_library(prefetch_op DEPS ${DISTRIBUTE_DEPS})
set_source_files_properties(prefetch_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
op_library(recv_op DEPS ${DISTRIBUTE_DEPS})
set_source_files_properties(recv_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
op_library(listen_and_serv_op DEPS ${DISTRIBUTE_DEPS})
......@@ -191,9 +193,9 @@ if(WITH_DISTRIBUTE)
set_source_files_properties(send_vars_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
op_library(send_barrier_op DEPS ${DISTRIBUTE_DEPS})
set_source_files_properties(send_barrier_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
cc_test(test_send_recv SRCS send_recv_op_test.cc DEPS send_op listen_and_serv_op sum_op executor)
cc_test(test_send_recv SRCS send_recv_op_test.cc DEPS prefetch_op send_op listen_and_serv_op sum_op executor)
else()
set(DEPS_OPS ${DEPS_OPS} send_op recv_op listen_and_serv_op send_vars_op send_barrier_op)
set(DEPS_OPS ${DEPS_OPS} send_op prefetch_op recv_op listen_and_serv_op send_vars_op send_barrier_op)
endif()
op_library(cond_op DEPS framework_proto tensor net_op)
......
......@@ -88,10 +88,13 @@ bool RPCClient::AsyncGetVariable(const std::string& ep,
const auto ch = GetChannel(ep_val);
framework::Async([var_name_val, ep_val, p_scope, p_ctx, time_out, ch, this] {
// prepare input
sendrecv::VariableMessage req;
req.set_varname(var_name_val);
::grpc::ByteBuffer buf;
RequestToByteBuffer<sendrecv::VariableMessage>(req, &buf);
// varhandle
// var handle
VarHandle var_h;
var_h.ep = ep_val;
var_h.scope = p_scope;
......@@ -103,9 +106,6 @@ bool RPCClient::AsyncGetVariable(const std::string& ep,
s->Prepare(var_h, time_out);
s->response_call_back_ = ProcGetResponse;
::grpc::ByteBuffer buf;
RequestToByteBuffer<sendrecv::VariableMessage>(req, &buf);
auto call = s->stub_g_.PrepareUnaryCall(
s->context_.get(), "/sendrecv.SendRecvService/GetVariable", buf, &cq_);
call->StartCall();
......@@ -117,6 +117,48 @@ bool RPCClient::AsyncGetVariable(const std::string& ep,
return true;
}
bool RPCClient::AsyncPrefetchVariable(const std::string& ep,
const platform::DeviceContext& ctx,
const framework::Scope& scope,
const std::string& in_var_name,
const std::string& out_var_name,
int64_t time_out) {
const platform::DeviceContext* p_ctx = &ctx;
const std::string ep_val = ep;
const std::string in_var_name_val = in_var_name;
const std::string out_var_name_val = out_var_name;
const framework::Scope* p_scope = &scope;
const auto ch = GetChannel(ep_val);
framework::Async([in_var_name_val, out_var_name_val, ep_val, p_scope, p_ctx,
time_out, ch, this] {
auto* var = p_scope->FindVar(in_var_name_val);
::grpc::ByteBuffer req;
SerializeToByteBuffer(in_var_name_val, var, *p_ctx, &req);
// var handle
VarHandle var_h;
var_h.ep = ep_val;
var_h.scope = p_scope;
var_h.name = out_var_name_val;
var_h.ctx = p_ctx;
// stub context
GetProcessor* s = new GetProcessor(ch);
s->Prepare(var_h, time_out);
s->response_call_back_ = ProcGetResponse;
auto call = s->stub_g_.PrepareUnaryCall(
s->context_.get(), "/sendrecv.SendRecvService/GetVariable", req, &cq_);
call->StartCall();
call->Finish(&s->reply_, &s->status_, (void*)s);
});
req_count_++;
return true;
}
void RPCClient::AsyncSendBatchBarrier(const std::string& ep, int64_t time_out) {
const auto ch = GetChannel(ep);
......
......@@ -172,6 +172,13 @@ class RPCClient {
const std::string& var_name,
int64_t time_out = 600 * 1000);
bool AsyncPrefetchVariable(const std::string& ep,
const platform::DeviceContext& ctx,
const framework::Scope& scope,
const std::string& in_var_name,
const std::string& out_var_name,
int64_t time_out = 600 * 1000);
void AsyncSendBatchBarrier(const std::string& ep,
int64_t time_out = 600 * 1000);
......
/* Copyright (c) 2018 PaddlePaddle 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. */
#include <future>
#include <ostream>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/send_recv_util.h"
namespace paddle {
namespace operators {
class PrefetchOp : public framework::OperatorBase {
public:
PrefetchOp(const std::string& type, const framework::VariableNameMap& inputs,
const framework::VariableNameMap& outputs,
const framework::AttributeMap& attrs)
: OperatorBase(type, inputs, outputs, attrs) {}
void RunImpl(const framework::Scope& scope,
const platform::Place& place) const override {
auto ins = Inputs("X");
auto outs = Outputs("Out");
std::vector<std::string> epmap = Attr<std::vector<std::string>>("epmap");
platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
auto& ctx = *pool.Get(place);
auto client_var_name = Output("RPCClient");
PADDLE_ENFORCE_NOT_NULL(scope.FindVar(client_var_name),
"Can not find variable '%s' in the scope.",
client_var_name);
auto* client_var = scope.FindVar(client_var_name);
detail::RPCClient* rpc_client = client_var->GetMutable<detail::RPCClient>();
for (size_t i = 0; i < ins.size(); i++) {
if (NeedSend(scope, ins[i])) {
VLOG(3) << "sending " << ins[i] << " to " << epmap[i] << "to get "
<< outs[i] << "back";
rpc_client->AsyncPrefetchVariable(epmap[i], ctx, scope, ins[i],
outs[i]);
} else {
VLOG(3) << "don't send no-initialied variable: " << ins[i];
}
}
PADDLE_ENFORCE(rpc_client->Wait());
}
};
class PrefetchOpMaker : public framework::OpProtoAndCheckerMaker {
public:
PrefetchOpMaker(OpProto* proto, OpAttrChecker* op_checker)
: OpProtoAndCheckerMaker(proto, op_checker) {
AddInput("X", "(LoDTensor) Input Id variables to be sent").AsDuplicable();
AddOutput("RPCClient",
"(RPCClient) The RPC client object which will be"
"initialized at most once.");
AddOutput("Out",
"(SelectedRows) result "
"to be fetched from parameter server")
.AsDuplicable();
AddAttr<std::vector<std::string>>(
"epmap",
"(string vector, default 127.0.0.1:6164)"
"Server endpoints in the order of input variables for mapping")
.SetDefault({"127.0.0.1:6164"});
AddComment(R"DOC(
Prefetch operator
This operator will send Ids variables to listen_and_serve op at
the parameter server and fetch result back.
)DOC");
}
};
class PrefetchOpVarTypeInference : public framework::VarTypeInference {
public:
void operator()(const framework::OpDesc& op_desc,
framework::BlockDesc* block) const override {
auto out_var_name = op_desc.Output("RPCClient").front();
auto& out_var = block->FindRecursiveOrCreateVar(out_var_name);
auto var_type = framework::proto::VarType::RAW;
out_var.SetType(var_type);
}
};
class PrefetchOpShapeInference : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext* ctx) const override {}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OPERATOR(prefetch, ops::PrefetchOp,
paddle::framework::EmptyGradOpMaker, ops::PrefetchOpMaker,
ops::PrefetchOpVarTypeInference,
ops::PrefetchOpShapeInference);
......@@ -12,35 +12,19 @@ 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 <future>
#include <ostream>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include <future>
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/send_recv_util.h"
#include "paddle/fluid/platform/profiler.h"
namespace paddle {
namespace operators {
static bool NeedSend(const framework::Scope& scope,
const std::string& varname) {
auto* var = scope.FindVar(varname);
PADDLE_ENFORCE_NOT_NULL(var, "Can not find variable '%s' in the send side.",
varname);
if (var->IsType<framework::LoDTensor>()) {
return var->Get<framework::LoDTensor>().IsInitialized();
} else if (var->IsType<framework::SelectedRows>()) {
return var->Get<framework::SelectedRows>().rows().size() > 0UL;
} else {
PADDLE_THROW(
"Variable type in send side should be in "
"[LodTensor, SelectedRows]");
}
return false;
}
class SendOp : public framework::OperatorBase {
public:
......
/* Copyright (c) 2018 PaddlePaddle 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. */
namespace paddle {
namespace operators {
inline bool NeedSend(const framework::Scope& scope,
const std::string& varname) {
auto* var = scope.FindVar(varname);
PADDLE_ENFORCE_NOT_NULL(var, "Can not find variable '%s' in the send side.",
varname);
if (var->IsType<framework::LoDTensor>()) {
return var->Get<framework::LoDTensor>().IsInitialized();
} else if (var->IsType<framework::SelectedRows>()) {
return var->Get<framework::SelectedRows>().rows().size() > 0UL;
} else {
PADDLE_THROW(
"Variable type in send side should be in "
"[LodTensor, SelectedRows]");
}
return false;
}
} // namespace operators
} // namespace paddle
......@@ -12,34 +12,17 @@ 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 <future>
#include <ostream>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include <future>
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/send_recv_util.h"
namespace paddle {
namespace operators {
static bool NeedSend(const framework::Scope& scope,
const std::string& varname) {
auto* var = scope.FindVar(varname);
PADDLE_ENFORCE_NOT_NULL(var, "Can not find variable '%s' in the send side.",
varname);
if (var->IsType<framework::LoDTensor>()) {
return var->Get<framework::LoDTensor>().IsInitialized();
} else if (var->IsType<framework::SelectedRows>()) {
return var->Get<framework::SelectedRows>().rows().size() > 0UL;
} else {
PADDLE_THROW(
"Variable type in send side should be in "
"[LodTensor, SelectedRows]");
}
return false;
}
class SendVarsOp : public framework::OperatorBase {
public:
......@@ -95,7 +78,7 @@ Send operator
This operator will send variables to listen_and_serve op at the parameter server.
)DOC");
AddAttr<int>("ync_send",
AddAttr<int>("sync_send",
"(int, default 0)"
"sync send or async send.")
.SetDefault(0);
......
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