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BroadcastSum.cuh
/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include "../utils/Float16.cuh"
#include "../utils/Tensor.cuh"
namespace faiss { namespace gpu {
// output[x][i] += input[i] for all x
void runSumAlongColumns(Tensor<float, 1, true>& input,
Tensor<float, 2, true>& output,
cudaStream_t stream);
#ifdef FAISS_USE_FLOAT16
void runSumAlongColumns(Tensor<half, 1, true>& input,
Tensor<half, 2, true>& output,
cudaStream_t stream);
#endif
// output[x][i] = input[i] for all x
void runAssignAlongColumns(Tensor<float, 1, true>& input,
Tensor<float, 2, true>& output,
cudaStream_t stream);
#ifdef FAISS_USE_FLOAT16
void runAssignAlongColumns(Tensor<half, 1, true>& input,
Tensor<half, 2, true>& output,
cudaStream_t stream);
#endif
// output[i][x] += input[i] for all x
// If zeroClamp, output[i][x] = max(output[i][x] + input[i], 0) for all x
void runSumAlongRows(Tensor<float, 1, true>& input,
Tensor<float, 2, true>& output,
bool zeroClamp,
cudaStream_t stream);
#ifdef FAISS_USE_FLOAT16
void runSumAlongRows(Tensor<half, 1, true>& input,
Tensor<half, 2, true>& output,
bool zeroClamp,
cudaStream_t stream);
#endif
} } // namespace