revert-12469-sum_op_dim_fix
commit
c24a9263ba
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/* Copyright (c) 2018 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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#pragma once
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#include <pthread.h>
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace framework {
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struct RWLock {
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RWLock() { pthread_rwlock_init(&lock_, nullptr); }
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~RWLock() { pthread_rwlock_destroy(&lock_); }
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void RDLock() {
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PADDLE_ENFORCE_EQ(pthread_rwlock_rdlock(&lock_), 0,
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"acquire read lock failed");
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}
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void WRLock() {
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PADDLE_ENFORCE_EQ(pthread_rwlock_wrlock(&lock_), 0,
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"acquire write lock failed");
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}
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void UNLock() {
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PADDLE_ENFORCE_EQ(pthread_rwlock_unlock(&lock_), 0, "unlock failed");
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}
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private:
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pthread_rwlock_t lock_;
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};
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} // namespace framework
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} // namespace paddle
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/* Copyright (c) 2018 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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#include "paddle/fluid/framework/rw_lock.h"
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#include <gtest/gtest.h>
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#include <chrono> // NOLINT
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#include <thread> // NOLINT
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#include <vector>
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namespace f = paddle::framework;
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void f1(f::RWLock *lock) {
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lock->RDLock();
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lock->UNLock();
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}
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TEST(RWLOCK, read_read) {
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f::RWLock lock;
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lock.RDLock();
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std::thread t1(f1, &lock);
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std::thread t2(f1, &lock);
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t1.join();
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t2.join();
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lock.UNLock();
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}
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void f2(f::RWLock *lock, std::vector<int> *result) {
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lock->RDLock();
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ASSERT_EQ(result->size(), 0UL);
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lock->UNLock();
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}
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void f3(f::RWLock *lock, std::vector<int> *result) {
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lock->WRLock();
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result->push_back(1);
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lock->UNLock();
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}
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TEST(RWLOCK, read_write) {
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f::RWLock lock;
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std::vector<int> result;
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lock.RDLock();
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std::thread t1(f2, &lock, &result);
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t1.join();
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std::thread t2(f3, &lock, &result);
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std::this_thread::sleep_for(std::chrono::seconds(1));
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ASSERT_EQ(result.size(), 0UL);
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lock.UNLock();
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t2.join();
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ASSERT_EQ(result.size(), 1UL);
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}
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void f4(f::RWLock *lock, std::vector<int> *result) {
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lock->RDLock();
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ASSERT_EQ(result->size(), 1UL);
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lock->UNLock();
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}
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TEST(RWLOCK, write_read) {
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f::RWLock lock;
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std::vector<int> result;
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lock.WRLock();
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std::thread t1(f4, &lock, &result);
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std::this_thread::sleep_for(std::chrono::seconds(1));
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result.push_back(1);
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lock.UNLock();
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t1.join();
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}
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@ -1,26 +0,0 @@
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// Copyright (c) 2018 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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#include "paddle/fluid/operators/fill_constant_op.h"
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#include "paddle/fluid/platform/float16.h"
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namespace ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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fill_constant,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, float>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, double>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, int>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext, int64_t>,
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ops::FillConstantOpKernel<paddle::platform::CUDADeviceContext,
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paddle::platform::float16>)
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