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unify fusedl2nn with fuseddistanceNN, add deprecation warning for fus…
…ed_l2_nn_min_arg, support only float for fused_distance_nn
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cpp/src/raft_runtime/distance/fused_distance_min_arg.hpp
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| /* | ||
| * Copyright (c) 2022-2024, 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. | ||
| */ | ||
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|
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| #pragma once | ||
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| #include <raft/core/device_mdarray.hpp> | ||
| #include <raft/core/kvp.hpp> | ||
| #include <raft/core/resource/cuda_stream.hpp> | ||
| #include <raft/core/resource/thrust_policy.hpp> | ||
| #include <raft/core/resources.hpp> | ||
| #include <raft/distance/distance_types.hpp> | ||
| #include <raft/distance/fused_distance_nn.cuh> | ||
| #include <raft/distance/fused_l2_nn.cuh> | ||
| #include <raft/linalg/norm.cuh> | ||
| #include <thrust/for_each.h> | ||
| #include <thrust/tuple.h> | ||
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| namespace raft::runtime::distance { | ||
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| template <typename IndexT, typename DataT> | ||
| struct KeyValueIndexOp { | ||
| __host__ __device__ __forceinline__ IndexT | ||
| operator()(const raft::KeyValuePair<IndexT, DataT>& a) const | ||
| { | ||
| return a.key; | ||
| } | ||
| }; | ||
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| template <typename value_t, typename idx_t> | ||
| void compute_fused_l2_nn_min_arg(raft::resources const& handle, | ||
| idx_t* min, | ||
| const value_t* x, | ||
| const value_t* y, | ||
| idx_t m, | ||
| idx_t n, | ||
| idx_t k, | ||
| bool sqrt) | ||
| { | ||
| rmm::device_uvector<int> workspace(m, resource::get_cuda_stream(handle)); | ||
| auto kvp = raft::make_device_vector<raft::KeyValuePair<idx_t, value_t>>(handle, m); | ||
| constexpr bool is_row_major = true; | ||
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| rmm::device_uvector<value_t> x_norms(m, resource::get_cuda_stream(handle)); | ||
| rmm::device_uvector<value_t> y_norms(n, resource::get_cuda_stream(handle)); | ||
| raft::linalg::rowNorm( | ||
| x_norms.data(), x, k, m, raft::linalg::L2Norm, is_row_major, resource::get_cuda_stream(handle)); | ||
| raft::linalg::rowNorm( | ||
| y_norms.data(), y, k, n, raft::linalg::L2Norm, is_row_major, resource::get_cuda_stream(handle)); | ||
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| raft::distance::fusedL2NNMinReduce(kvp.data_handle(), | ||
| x, | ||
| y, | ||
| x_norms.data(), | ||
| y_norms.data(), | ||
| m, | ||
| n, | ||
| k, | ||
| (void*)workspace.data(), | ||
| sqrt, | ||
| true, | ||
| resource::get_cuda_stream(handle)); | ||
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| KeyValueIndexOp<idx_t, value_t> conversion_op; | ||
| thrust::transform(resource::get_thrust_policy(handle), | ||
| kvp.data_handle(), | ||
| kvp.data_handle() + m, | ||
| min, | ||
| conversion_op); | ||
| resource::sync_stream(handle); | ||
| } | ||
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| template <typename value_t, typename idx_t> | ||
| void compute_fused_cosine_nn_min_arg(raft::resources const& handle, | ||
| idx_t* min, | ||
| const value_t* x, | ||
| const value_t* y, | ||
| idx_t m, | ||
| idx_t n, | ||
| idx_t k, | ||
| bool sqrt) | ||
| { | ||
| rmm::device_uvector<int> workspace(m, resource::get_cuda_stream(handle)); | ||
| auto kvp = raft::make_device_vector<raft::KeyValuePair<idx_t, value_t>>(handle, m); | ||
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| rmm::device_uvector<value_t> x_norms(m, resource::get_cuda_stream(handle)); | ||
| rmm::device_uvector<value_t> y_norms(n, resource::get_cuda_stream(handle)); | ||
| constexpr bool is_row_major = true; | ||
| raft::linalg::rowNorm(x_norms.data(), | ||
| x, | ||
| k, | ||
| m, | ||
| raft::linalg::L2Norm, | ||
| is_row_major, | ||
| resource::get_cuda_stream(handle), | ||
| raft::sqrt_op{}); | ||
| raft::linalg::rowNorm(y_norms.data(), | ||
| y, | ||
| k, | ||
| n, | ||
| raft::linalg::L2Norm, | ||
| is_row_major, | ||
| resource::get_cuda_stream(handle), | ||
| raft::sqrt_op{}); | ||
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| raft::distance::fusedDistanceNNMinReduce(kvp.data_handle(), | ||
| x, | ||
| y, | ||
| x_norms.data(), | ||
| y_norms.data(), | ||
| m, | ||
| n, | ||
| k, | ||
| (void*)workspace.data(), | ||
| sqrt, | ||
| true, | ||
| is_row_major, | ||
| raft::distance::DistanceType::CosineExpanded, | ||
| 0.0f, | ||
| resource::get_cuda_stream(handle)); | ||
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| KeyValueIndexOp<idx_t, value_t> conversion_op; | ||
| thrust::transform(resource::get_thrust_policy(handle), | ||
| kvp.data_handle(), | ||
| kvp.data_handle() + m, | ||
| min, | ||
| conversion_op); | ||
| resource::sync_stream(handle); | ||
| } | ||
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| } // end namespace raft::runtime::distance |
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