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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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.
*/
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/stump_func_op.h"
namespace caffe2 {
namespace {
template <typename TIN, typename TOUT>
__global__ void StumpFuncKernel(
const int N,
const TIN threshold,
const TOUT low_value,
const TOUT high_value,
const TIN* X,
TOUT* Y) {
CUDA_1D_KERNEL_LOOP(i, N) {
Y[i] = (X[i] <= threshold) ? low_value : high_value;
}
}
} //
template <>
bool StumpFuncOp<float, float, CUDAContext>::RunOnDevice() {
auto& in = Input(0);
const float* in_data = in.data<float>();
auto* out = Output(0, in.sizes(), at::dtype<float>());
float* out_data = out->template mutable_data<float>();
StumpFuncKernel<<<CAFFE_GET_BLOCKS(in.numel()), CAFFE_CUDA_NUM_THREADS,
0, context_.cuda_stream()>>>(
in.numel(), threshold_, low_value_, high_value_, in_data, out_data);
C10_CUDA_KERNEL_LAUNCH_CHECK();
return true;
}
REGISTER_CUDA_OPERATOR(StumpFunc, StumpFuncOp<float, float, CUDAContext>);
// NO_GRADIENT(StumpFuncGpu);
} // caffe2
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