You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
76 lines
2.6 KiB
76 lines
2.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
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 "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/operators/linspace_op.h"
|
|
#include "paddle/fluid/platform/cuda_primitives.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
#define CUDA_1D_KERNEL_LOOP(i, n) \
|
|
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); \
|
|
i += blockDim.x * gridDim.x)
|
|
|
|
template <typename T>
|
|
__global__ void LinspaceKernel(T start, T step, int64_t size, T* out) {
|
|
CUDA_1D_KERNEL_LOOP(index, size) { out[index] = start + step * index; }
|
|
}
|
|
|
|
template <typename T>
|
|
__global__ void LinspaceSpecialKernel(T start, T* out) {
|
|
out[0] = start;
|
|
}
|
|
|
|
template <typename T>
|
|
class CUDALinspaceKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto* start_t = context.Input<framework::Tensor>("Start");
|
|
auto* stop_t = context.Input<framework::Tensor>("Stop");
|
|
auto* num_t = context.Input<framework::Tensor>("Num");
|
|
auto* out = context.Output<framework::Tensor>("Out");
|
|
|
|
framework::Tensor n;
|
|
framework::TensorCopy(*start_t, platform::CPUPlace(), &n);
|
|
T start = n.data<T>()[0];
|
|
framework::TensorCopy(*stop_t, platform::CPUPlace(), &n);
|
|
T stop = n.data<T>()[0];
|
|
framework::TensorCopy(*num_t, platform::CPUPlace(), &n);
|
|
int32_t num = n.data<int32_t>()[0];
|
|
|
|
PADDLE_ENFORCE(num > 0, "The num of linspace op should be larger than 0.");
|
|
|
|
out->Resize(framework::make_ddim({num}));
|
|
T* out_data = out->mutable_data<T>(context.GetPlace());
|
|
|
|
T step = 0;
|
|
if (num != 1) {
|
|
step = (stop - start) / (num - 1);
|
|
}
|
|
|
|
auto stream = context.cuda_device_context().stream();
|
|
int block = 512;
|
|
int grid = (num + block - 1) / block;
|
|
LinspaceKernel<T><<<grid, block, 0, stream>>>(start, step, num, out_data);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
REGISTER_OP_CUDA_KERNEL(linspace, ops::CUDALinspaceKernel<float>,
|
|
ops::CUDALinspaceKernel<double>);
|