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Add sparseL2NN initial implementation
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/* | ||
* Copyright (c) 2022, NVIDIA CORPORATION. | ||
* | ||
* 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. | ||
*/ | ||
#pragma once | ||
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#include <raft/util/cuda_utils.cuh> | ||
#include <raft/util/device_atomics.cuh> | ||
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namespace raft { | ||
namespace distance { | ||
namespace detail { | ||
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template <typename T = uint64_t, typename = std::enable_if_t<std::is_integral<T>::value>> | ||
__global__ void compress_to_bits_naive(const bool* in, int in_rows, int in_cols, T* out) | ||
{ | ||
constexpr int bits_per_element = 8 * sizeof(T); | ||
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const size_t i = threadIdx.y + blockIdx.y * blockDim.y; | ||
const size_t j = threadIdx.x + blockIdx.x * blockDim.x; | ||
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if (in_rows <= i || in_cols <= j) { return; } | ||
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bool bit = in[i * in_cols + j]; | ||
int bitpos = j % bits_per_element; | ||
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T bitfield = bit ? T(1) << bitpos : 0; | ||
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const size_t out_rows = raft::ceildiv(in_cols, bits_per_element); | ||
const size_t out_cols = in_rows; | ||
const size_t out_j = i; | ||
const size_t out_i = j / bits_per_element; | ||
if (out_i < out_rows && out_j < out_cols) { atomicOr(&out[out_i * out_cols + out_j], bitfield); } | ||
} | ||
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}; // namespace detail | ||
}; // namespace distance | ||
}; // namespace raft |
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