/* Copyright 2015 The TensorFlow 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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==============================================================================*/
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#if GOOGLE_CUDA
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#define EIGEN_USE_GPU
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#include "third_party/eigen3/unsupported/Eigen/CXX11/Tensor"
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#include "tensorflow/core/util/cuda_launch_config.h"
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__global__ void AddOneKernel(const int* in, const int N, int* out) {
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for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N;
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i += blockDim.x * gridDim.x) {
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out[i] = in[i] + 1;
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}
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}
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void AddOneKernelLauncher(const int* in, const int N, int* out) {
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TF_CHECK_OK(::tensorflow::CudaLaunchKernel(AddOneKernel, 32, 256, 0, nullptr,
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in, N, out));
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}
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#endif
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