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70 lines
2.4 KiB
70 lines
2.4 KiB
/* Copyright (c) 2016 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 <cuda.h>
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namespace paddle {
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namespace platform {
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#define CUDA_ATOMIC_WRAPPER(op, T) \
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__device__ __forceinline__ T CudaAtomic##op(T* address, const T val)
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#define USE_CUDA_ATOMIC(op, T) \
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CUDA_ATOMIC_WRAPPER(op, T) { return atomic##op(address, val); }
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// Default thread count per block(or block size).
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// TODO(typhoonzero): need to benchmark against setting this value
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// to 1024.
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constexpr int PADDLE_CUDA_NUM_THREADS = 512;
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// For atomicAdd.
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USE_CUDA_ATOMIC(Add, float);
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USE_CUDA_ATOMIC(Add, int);
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USE_CUDA_ATOMIC(Add, unsigned int);
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// CUDA API uses unsigned long long int, we cannot use uint64_t here.
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// It because unsigned long long int is not necessarily uint64_t
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USE_CUDA_ATOMIC(Add, unsigned long long int); // NOLINT
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CUDA_ATOMIC_WRAPPER(Add, int64_t) {
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// Here, we check long long int must be int64_t.
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static_assert(sizeof(int64_t) == sizeof(long long int), // NOLINT
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"long long should be int64");
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return CudaAtomicAdd(
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reinterpret_cast<unsigned long long int*>(address), // NOLINT
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static_cast<unsigned long long int>(val)); // NOLINT
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}
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#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 600
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USE_CUDA_ATOMIC(Add, double);
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#else
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CUDA_ATOMIC_WRAPPER(Add, double) {
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unsigned long long int* address_as_ull = // NOLINT
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reinterpret_cast<unsigned long long int*>(address); // NOLINT
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unsigned long long int old = *address_as_ull, assumed; // NOLINT
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do {
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assumed = old;
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old = atomicCAS(address_as_ull, assumed,
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__double_as_longlong(val + __longlong_as_double(assumed)));
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// Note: uses integer comparison to avoid hang in case of NaN
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} while (assumed != old);
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return __longlong_as_double(old);
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}
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#endif
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} // namespace platform
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} // namespace paddle
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