提交 5e92eb3f 编写于 作者: W Wu Yi 提交者: ceci3

add parallel graph dist test (#16076)

* add parallel graph dist test=develop

* update test=develop

* update style test=develop
上级 e5759d6c
......@@ -13,6 +13,8 @@
// limitations under the License.
#include "paddle/fluid/framework/details/parallel_ssa_graph_executor.h"
#include <memory>
#include <utility>
#include "paddle/fluid/framework/ir/graph_helper.h"
namespace paddle {
......@@ -29,6 +31,11 @@ ParallelSSAGraphExecutor::SeparateMultiDevicesGraph(ir::Graph *graph) {
auto &g = graphs.back();
g->Set(kGraphVars, new GraphVars(1UL));
g->Set(kGraphDepVars, new GraphDepVars);
auto &stale_ops =
graph->Get<const std::vector<OpDesc *>>(details::kStaleProgramOpDescs);
g->Erase(details::kStaleProgramOpDescs);
g->Set<const std::vector<OpDesc *>>(details::kStaleProgramOpDescs,
new std::vector<OpDesc *>(stale_ops));
}
auto op_handles = ir::FilterByNodeWrapper<OpHandleBase>(*graph);
......
# 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.
from __future__ import print_function
import unittest
from test_dist_base import TestDistBase
class TestDistMnistNCCL2(TestDistBase):
def _setup_config(self):
self._sync_mode = True
self._use_reduce = False
self._use_reader_alloc = False
self._nccl2_mode = True
def test_dist_train(self):
import paddle.fluid as fluid
if fluid.core.is_compiled_with_cuda():
self.check_with_place(
"dist_mnist.py",
delta=1,
need_envs={
"FLAGS_enable_parallel_graph": "1",
"FLAGS_sync_nccl_allreduce": "1"
})
if __name__ == "__main__":
unittest.main()
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