supports multiple NCCL communicators preserved in NCCLCommContext (#19407)
* supports multiple NCCL communicators preserved in NCCLCommContext test=develop * add ut for c_comm_init_all operator and fix cuda resource release problem test=developassert
Yi Liu
6 years ago
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GitHub
parent
56dd76538c
commit
efb05ba258
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/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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#include <nccl.h>
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#endif
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#include <stdint.h>
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#include <ostream>
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#include <string>
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#include "paddle/fluid/framework/executor.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_info.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/threadpool.h"
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#include "paddle/fluid/operators/distributed/distributed.h"
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#include "paddle/fluid/operators/distributed/request_handler_impl.h"
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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#include "paddle/fluid/platform/collective_helper.h"
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#include "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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class CCommInitAllInferShape : public framework::InferShapeBase {
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public:
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~CCommInitAllInferShape() {}
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void operator()(framework::InferShapeContext* ctx) const override{};
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};
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class CCommInitAllOp : public framework::OperatorBase {
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public:
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CCommInitAllOp(const std::string& type,
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const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void RunImpl(const framework::Scope& scope,
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const platform::Place& place) const override {
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PADDLE_ENFORCE_EQ(is_gpu_place(place), true,
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"CCommInitAllOp can run on gpu place only.");
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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std::vector<int> devices = Attr<std::vector<int>>("devices");
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if (devices.empty()) {
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devices = platform::GetSelectedDevices();
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}
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int rid = Attr<int>("ring_id");
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platform::NCCLCommContext::Instance().CreateAllNCCLComms(devices, rid);
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#else
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PADDLE_THROW("PaddlePaddle should compile with GPU.");
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#endif
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}
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};
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class CCommInitAllOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddComment(R"DOC(
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CCommInitAll operator
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Initialize all collective communicatoin context
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)DOC");
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AddAttr<std::vector<int>>(
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"devices",
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"(std::vector<int>) which devices does the nccl comm initialized on")
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.SetDefault({});
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AddAttr<int>("ring_id", "(int default 0) user specified ring id")
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.SetDefault(0);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(c_comm_init_all, ops::CCommInitAllOp,
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ops::CCommInitAllInferShape, ops::CCommInitAllOpMaker);
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@ -0,0 +1,50 @@
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import paddle.fluid.core as core
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import paddle.fluid as fluid
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class TestCCommInitAllOp(unittest.TestCase):
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def setUp(self):
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self.place = fluid.CUDAPlace(0)
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self.exe = fluid.Executor(self.place)
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def test_default_attrs(self):
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program = fluid.Program()
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block = program.global_block()
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block.append_op(type='c_comm_init_all', attrs={'ring_id': 0})
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self.exe.run(program)
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def test_init_with_same_ring_id(self):
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program = fluid.Program()
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block = program.global_block()
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block.append_op(type='c_comm_init_all', attrs={'ring_id': 0})
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with self.assertRaises(core.EnforceNotMet):
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self.exe.run(program)
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def test_specifying_devices(self):
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program = fluid.Program()
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block = program.global_block()
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block.append_op(
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type='c_comm_init_all', attrs={'devices': [0],
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'ring_id': 1})
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self.exe.run(program)
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if __name__ == "__main__":
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unittest.main()
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