mirror of
https://github.com/wassname/Flex-Convolution.git
synced 2026-09-09 11:14:10 +08:00
82 lines
2.7 KiB
C++
82 lines
2.7 KiB
C++
/* Copyright 2018 ComputerGraphics Tuebingen. 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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// Authors: Fabian Groh, Patrick Wieschollek, Hendrik P.A. Lensch
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#include "knn_bruteforce_op.h"
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#include <stdio.h>
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#include <type_traits>
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#include "tensorflow/core/framework/op.h"
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#include "tensorflow/core/framework/op_kernel.h"
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namespace tensorflow {
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// Forward-Pass (CPU, GPU)
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// --------------------------------------------------
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template <typename Device, typename Dtype>
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class KnnBruteforceOp : public OpKernel {
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public:
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explicit KnnBruteforceOp(OpKernelConstruction* ctx) : OpKernel(ctx) {
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OP_REQUIRES_OK(ctx, ctx->GetAttr("K", &K));
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OP_REQUIRES_OK(ctx, ctx->GetAttr("return_timings", &return_timings));
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}
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void Compute(OpKernelContext* ctx) override {
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const Tensor& positions = ctx->input(0);
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const Tensor& neighborhood_in = ctx->input(1);
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const int B = positions.shape().dim_size(0);
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const int N = positions.shape().dim_size(2);
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Tensor* neighborhood_out = nullptr;
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Tensor* distances = nullptr;
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Tensor* timings = nullptr;
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OP_REQUIRES_OK(ctx, ctx->allocate_output(0, TensorShape({B, N, K}),
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&neighborhood_out));
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OP_REQUIRES_OK(ctx,
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ctx->allocate_output(1, TensorShape({B, N, K}), &distances));
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OP_REQUIRES_OK(ctx, ctx->allocate_output(2, TensorShape({1}), &timings));
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::tensorflow::functor::KnnBruteforceFunctor<Device, Dtype, int> knnBFF;
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knnBFF.return_timings = return_timings;
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knnBFF(ctx, positions, neighborhood_out, distances, timings);
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}
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private:
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TF_DISALLOW_COPY_AND_ASSIGN(KnnBruteforceOp);
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int K;
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bool return_timings;
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// int subBatch;
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};
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#define REGISTER_CUSTOM_OP(NAME, DEVICE, T) \
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REGISTER_KERNEL_BUILDER( \
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Name(#NAME).Device(DEVICE_##DEVICE).TypeConstraint<T>("T"), \
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NAME##Op<DEVICE##Device, T>)
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REGISTER_CUSTOM_OP(KnnBruteforce, CPU, float);
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#ifdef GOOGLE_CUDA
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REGISTER_CUSTOM_OP(KnnBruteforce, GPU, float);
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#endif // GOOGLE_CUDA
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#undef REGISTER_CUSTOM_OP
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} // namespace tensorflow
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