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cuda source #1
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10.0.0 sm_75 CUDA-10.2
10.0.1 sm_75 CUDA-10.2
11.0.0 sm_75 CUDA-10.2
NVCC 10.0.130
NVCC 10.1.105
NVCC 10.1.168
NVCC 10.1.243
NVCC 10.2.89
NVCC 11.0.2
NVCC 11.0.3
NVCC 11.1.0
NVCC 11.1.1
NVCC 11.2.0
NVCC 11.2.1
NVCC 11.2.2
NVCC 11.3.0
NVCC 11.3.1
NVCC 11.4.0
NVCC 11.4.1
NVCC 11.4.2
NVCC 11.4.3
NVCC 11.4.4
NVCC 11.5.0
NVCC 11.5.1
NVCC 11.5.2
NVCC 11.6.0
NVCC 11.6.1
NVCC 11.6.2
NVCC 11.7.0
NVCC 11.7.1
NVCC 11.8.0
NVCC 12.0.0
NVCC 12.0.1
NVCC 12.1.0
NVCC 12.2.1
NVCC 12.3.1
NVCC 12.4.1
NVCC 12.5.1
NVCC 9.1.85
NVCC 9.2.88
NVRTC 11.0.2
NVRTC 11.0.3
NVRTC 11.1.0
NVRTC 11.1.1
NVRTC 11.2.0
NVRTC 11.2.1
NVRTC 11.2.2
NVRTC 11.3.0
NVRTC 11.3.1
NVRTC 11.4.0
NVRTC 11.4.1
NVRTC 11.5.0
NVRTC 11.5.1
NVRTC 11.5.2
NVRTC 11.6.0
NVRTC 11.6.1
NVRTC 11.6.2
NVRTC 11.7.0
NVRTC 11.7.1
NVRTC 11.8.0
NVRTC 12.0.0
NVRTC 12.0.1
NVRTC 12.1.0
clang 7.0.0 sm_70 CUDA-9.1
clang 8.0.0 sm_75 CUDA-10.0
clang 9.0.0 sm_75 CUDA-10.1
clang rocm-4.5.2
clang rocm-5.0.2
clang rocm-5.1.3
clang rocm-5.2.3
clang rocm-5.3.2
clang rocm-5.7.0
clang rocm-6.0.2
clang rocm-6.1.2
clang staging rocm-6.1.2
clang trunk rocm-6.1.2
trunk sm_86 CUDA-11.3
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Source code
/* * Copyright (c) 2021-2024, 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. */ #include <cuco/static_map.cuh> #include <thrust/device_vector.h> #include <thrust/iterator/counting_iterator.h> #include <thrust/iterator/transform_iterator.h> #include <thrust/logical.h> #include <thrust/transform.h> #include <cuda/functional> // User-defined key type struct custom_key_type { int32_t a; int32_t b; __host__ __device__ custom_key_type() {} __host__ __device__ custom_key_type(int32_t x) : a{x}, b{x} {} }; // User-defined value type struct custom_value_type { int32_t f; int32_t s; __host__ __device__ custom_value_type() {} __host__ __device__ custom_value_type(int32_t x) : f{x}, s{x} {} }; // User-defined device hash callable struct custom_hash { __device__ uint32_t operator()(custom_key_type const& k) const noexcept { return k.a; }; }; // User-defined device key equal callable struct custom_key_equal { __device__ bool operator()(custom_key_type const& lhs, custom_key_type const& rhs) const noexcept { return lhs.a == rhs.a; } }; int main(void) { constexpr std::size_t num_pairs = 80'000; // Set emtpy sentinels auto const empty_key_sentinel = custom_key_type{-1}; auto const empty_value_sentinel = custom_value_type{-1}; // Create an iterator of input key/value pairs auto pairs_begin = thrust::make_transform_iterator( thrust::make_counting_iterator<int32_t>(0), cuda::proclaim_return_type<cuco::pair<custom_key_type, custom_value_type>>( [] __device__(auto i) { return cuco::pair{custom_key_type{i}, custom_value_type{i}}; })); // Construct a map with 100,000 slots using the given empty key/value sentinels. Note the // capacity is chosen knowing we will insert 80,000 keys, for an load factor of 80%. auto map = cuco::static_map{cuco::extent<std::size_t, 100'000>{}, cuco::empty_key{empty_key_sentinel}, cuco::empty_value{empty_value_sentinel}, custom_key_equal{}, cuco::linear_probing<1, custom_hash>{}}; // Inserts 80,000 pairs into the map by using the custom hasher and custom equality callable map.insert(pairs_begin, pairs_begin + num_pairs); // Reproduce inserted keys auto insert_keys = thrust::make_transform_iterator(thrust::make_counting_iterator<int32_t>(0), cuda::proclaim_return_type<custom_key_type>( [] __device__(auto i) { return custom_key_type{i}; })); thrust::device_vector<bool> contained(num_pairs); // Determine if all the inserted keys can be found by using the same hasher and equality // function as `insert`. If a key `insert_keys[i]` doesn't exist, `contained[i] == false`. map.contains(insert_keys, insert_keys + num_pairs, contained.begin()); // This will fail due to inconsistent hash and key equal. // map.contains(insert_keys, insert_keys + num_pairs, contained.begin()); // All inserted keys are contained auto const all_contained = thrust::all_of(contained.begin(), contained.end(), [] __device__(auto const& b) { return b; }); if (all_contained) { std::cout << "Success! Found all values.\n"; } return 0; }
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