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68 lines
2.4 KiB
68 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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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/range_op.h"
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#include "paddle/fluid/platform/cuda_primitives.h"
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namespace paddle {
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namespace operators {
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#define CUDA_1D_KERNEL_LOOP(i, n) \
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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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template <typename T>
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__global__ void RangeKernel(T start, T step, int64_t size, T* out) {
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CUDA_1D_KERNEL_LOOP(index, size) { out[index] = start + step * index; }
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}
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template <typename T>
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class CUDARangeKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* start_t = context.Input<framework::Tensor>("Start");
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auto* end_t = context.Input<framework::Tensor>("End");
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auto* step_t = context.Input<framework::Tensor>("Step");
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auto* out = context.Output<framework::Tensor>("Out");
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framework::Tensor n;
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framework::TensorCopy(*start_t, platform::CPUPlace(), &n);
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T start = n.data<T>()[0];
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framework::TensorCopy(*end_t, platform::CPUPlace(), &n);
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T end = n.data<T>()[0];
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framework::TensorCopy(*step_t, platform::CPUPlace(), &n);
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T step = n.data<T>()[0];
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int64_t size = 0;
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GetSize(start, end, step, &size);
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out->Resize(framework::make_ddim({size}));
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T* out_data = out->mutable_data<T>(context.GetPlace());
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auto stream = context.cuda_device_context().stream();
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int block = 512;
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int grid = (size + block - 1) / block;
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RangeKernel<T><<<grid, block, 0, stream>>>(start, step, size, out_data);
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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_OP_CUDA_KERNEL(range, ops::CUDARangeKernel<int>,
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ops::CUDARangeKernel<int64_t>,
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ops::CUDARangeKernel<float>,
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ops::CUDARangeKernel<double>);
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