提交 926e1077 编写于 作者: X Xin Pan

version

上级 14242eae
......@@ -116,7 +116,9 @@ cc_library(operator SRCS operator.cc DEPS op_info device_context tensor scope gl
endif(NOT WIN32)
cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry device_context)
cc_library(proto_desc SRCS var_desc.cc op_desc.cc block_desc.cc program_desc.cc DEPS shape_inference op_info operator glog)
cc_library(version SRCS version.cc)
cc_library(proto_desc SRCS var_desc.cc op_desc.cc block_desc.cc program_desc.cc DEPS shape_inference op_info operator glog version)
cc_library(op_registry SRCS op_registry.cc DEPS op_proto_maker op_info operator glog proto_desc)
nv_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry)
......
......@@ -16,6 +16,13 @@ syntax = "proto2";
option optimize_for = LITE_RUNTIME;
package paddle.framework.proto;
// Any incompatible changes to ProgramDesc and its dependencies should
// raise the version defined version.h.
//
// Serailization and Deserialization codes should be modified in a way
// that supports old versions following the version and compatibility policy.
message Version { optional int64 version = 1 [ default = -1 ]; }
enum AttrType {
INT = 0;
FLOAT = 1;
......@@ -180,4 +187,8 @@ message BlockDesc {
// for more details.
// TODO(panyx0718): A model can have multiple programs. Need a
// way to distinguish them. Maybe ID or name?
message ProgramDesc { repeated BlockDesc blocks = 1; }
message ProgramDesc {
repeated BlockDesc blocks = 1;
optional Version version = 2;
}
......@@ -15,6 +15,7 @@ limitations under the License. */
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/feed_fetch_type.h"
#include "paddle/fluid/framework/version.h"
namespace paddle {
namespace framework {
......@@ -31,6 +32,10 @@ void ProgramDesc::Flush() {
for (auto &block : blocks_) {
block->Flush();
}
// If not loaded, use current code version.
if (desc_.version().version() < 0) {
desc_.mutable_version()->set_version(kCurProgramVersion);
}
}
proto::ProgramDesc *ProgramDesc::Proto() {
......@@ -38,7 +43,10 @@ proto::ProgramDesc *ProgramDesc::Proto() {
return &desc_;
}
int ProgramDesc::Version() const { return desc_.version().version(); }
ProgramDesc::ProgramDesc() {
desc_.mutable_version()->set_version(kCurProgramVersion);
auto *block = desc_.mutable_blocks()->Add();
block->set_idx(kRootBlockIndex);
block->set_parent_idx(kNoneBlockIndex);
......
......@@ -57,6 +57,8 @@ class ProgramDesc {
proto::ProgramDesc *Proto();
int Version() const;
// The output variable of feed_op is referenced as feed_target.
// This function is used to collect the output variable's name of all
// feed_ops.
......
/* Copyright (c) 2016 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 "paddle/fluid/framework/version.h"
#include <algorithm>
namespace paddle {
namespace framework {
bool IsProgramVersionSupported(int version) {
static int num_supported =
sizeof(kSupportedProgramVersion) / sizeof(kSupportedProgramVersion[0]);
return std::find(kSupportedProgramVersion,
kSupportedProgramVersion + num_supported,
version) != kSupportedProgramVersion + num_supported;
}
} // namespace framework
} // namespace paddle
/* Copyright (c) 2016 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. */
#pragma once
namespace paddle {
namespace framework {
// The program version the current codes generate.
constexpr int kCurProgramVersion = 0;
// The program version that was generated by previous or current codes
// and supported by current codes.
constexpr int kSupportedProgramVersion[] = {0};
bool IsProgramVersionSupported(int version);
} // namespace framework
} // namespace paddle
......@@ -20,6 +20,7 @@ limitations under the License. */
#include "paddle/fluid/framework/block_desc.h"
#include "paddle/fluid/framework/feed_fetch_type.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/version.h"
#include "paddle/fluid/platform/cpu_helper.h"
#include "paddle/fluid/pybind/pybind.h"
......@@ -124,6 +125,7 @@ std::unique_ptr<framework::ProgramDesc> Load(framework::Executor* executor,
std::unique_ptr<framework::ProgramDesc> main_program(
new framework::ProgramDesc(program_desc_str));
PADDLE_ENFORCE(framework::IsProgramVersionSupported(main_program->Version()));
LoadPersistables(executor, scope, *main_program, dirname, "");
return main_program;
......@@ -138,6 +140,7 @@ std::unique_ptr<framework::ProgramDesc> Load(
std::unique_ptr<framework::ProgramDesc> main_program(
new framework::ProgramDesc(program_desc_str));
PADDLE_ENFORCE(framework::IsProgramVersionSupported(main_program->Version()));
LoadPersistables(executor, scope, *main_program, "", param_filename);
return main_program;
......
......@@ -137,7 +137,10 @@ void BindProgramDesc(pybind11::module *m) {
PADDLE_ENFORCE(desc->ParseFromString(data),
"Fail to parse ProgramDesc from string. This could "
"be a bug of Paddle.");
});
})
.def("_version", [](pd::ProgramDesc &self) -> int64_t {
return self.Proto()->version().version();
});
}
void BindBlockDesc(pybind11::module *m) {
......
......@@ -517,6 +517,10 @@ All parameter, weight, gradient are variables in Paddle.
m.def("init_glog", framework::InitGLOG);
m.def("init_devices",
[](bool init_p2p) { framework::InitDevices(init_p2p); });
m.def("_supported_version", []() {
std::vector<int> supported_versions;
return supported_versions;
});
m.def("is_compiled_with_cuda", IsCompiledWithCUDA);
m.def("is_compiled_with_dist", IsCompiledWithDIST);
......
......@@ -1564,6 +1564,9 @@ class Program(object):
"""
return self.desc
def _version(self):
return self.desc._version()
def clone(self, for_test=False):
"""
Create a new, duplicated program.
......
......@@ -750,6 +750,11 @@ def load_inference_model(dirname,
program_desc_str = f.read()
program = Program.parse_from_string(program_desc_str)
# TODO(panyx0718): Link to our version and compatibility guide.
if program._version() != 0:
raise ValueError("Unsupported program version: %d\n" %
program._version())
# Binary data also need versioning.
load_persistables(executor, dirname, program, params_filename)
if pserver_endpoints:
......
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