Faiss

- Main Page
- Namespaces
- Classes
- Files

- File List

All Classes Namespaces Functions Variables Typedefs Enumerations Enumerator Friends
HostTensor.cuh
1 /**
2 * Copyright (c) 2015-present, Facebook, Inc.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD+Patents license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9 // Copyright 2004-present Facebook. All Rights Reserved.
10
11 #pragma once
12
13 #include "Tensor.cuh"
14
15 namespace faiss { namespace gpu {
16
17 template <typename T,
18 int Dim,
19 bool InnerContig = false,
20 typename IndexT = int,
21 template <typename U> class PtrTraits = traits::DefaultPtrTraits>
22 class HostTensor : public Tensor<T, Dim, InnerContig, IndexT, PtrTraits> {
23 public:
24 typedef IndexT IndexType;
25 typedef typename PtrTraits<T>::PtrType DataPtrType;
26
27 /// Default constructor
28 __host__ HostTensor();
29
30 /// Destructor
31 __host__ ~HostTensor();
32
33 /// Constructs a tensor of the given size, allocating memory for it
34 /// locally
35 __host__ HostTensor(const IndexT sizes[Dim]);
36 __host__ HostTensor(std::initializer_list<IndexT> sizes);
37
38 /// Constructs a tensor of the given size and stride, referencing a
39 /// memory region we do not own
40 __host__ HostTensor(DataPtrType data,
41 const IndexT sizes[Dim]);
42 __host__ HostTensor(DataPtrType data,
43 std::initializer_list<IndexT> sizes);
44
45 /// Constructs a tensor of the given size and stride, referencing a
46 /// memory region we do not own
47 __host__ HostTensor(DataPtrType data,
48 const IndexT sizes[Dim],
49 const IndexT strides[Dim]);
50
51 /// Copies a tensor into ourselves, allocating memory for it
52 /// locally. If the tensor is on the GPU, then we will copy it to
53 /// ourselves wrt the given stream.
54 __host__ HostTensor(Tensor<T, Dim, InnerContig, IndexT, PtrTraits>& t,
55 cudaStream_t stream);
56
57 /// Call to zero out memory
58 __host__ HostTensor<T, Dim, InnerContig, IndexT, PtrTraits>& zero();
59
60 /// Returns the maximum difference seen between two tensors
61 __host__ T
62 maxDiff(const HostTensor<T, Dim, InnerContig, IndexT, PtrTraits>& t) const;
63
64 /// Are the two tensors exactly equal?
65 __host__ bool
66 equal(const HostTensor<T, Dim, InnerContig, IndexT, PtrTraits>& t) const {
67 return (maxDiff(t) == (T) 0);
68 }
69
70 private:
71 enum AllocState {
72 /// This tensor itself owns the memory, which must be freed via
73 /// cudaFree
74 Owner,
75
76 /// This tensor itself is not an owner of the memory; there is
77 /// nothing to free
78 NotOwner,
79 };
80
81 AllocState state_;
82 };
83
84 } } // namespace
85
86 #include "HostTensor-inl.cuh"
faiss::gpu::HostTensor::~HostTensor
__host__ ~HostTensor()
Destructor.
Definition: HostTensor-inl.cuh:24
faiss::gpu::HostTensor::zero
__host__ HostTensor< T, Dim, InnerContig, IndexT, PtrTraits > & zero()
Call to zero out memory.
Definition: HostTensor-inl.cuh:105
faiss::gpu::Tensor::sizes
__host__ __device__ const IndexT * sizes() const
Returns the size array.
Definition: Tensor.cuh:247
faiss::gpu::HostTensor::HostTensor
__host__ HostTensor()
Default constructor.
Definition: HostTensor-inl.cuh:16
faiss::gpu::Tensor::strides
__host__ __device__ const IndexT * strides() const
Returns the stride array.
Definition: Tensor.cuh:252
faiss::gpu::Tensor::data
__host__ __device__ DataPtrType data()
Returns a raw pointer to the start of our data.
Definition: Tensor.cuh:178
faiss::gpu::Tensor
Our tensor type.
Definition: Tensor.cuh:30
faiss::gpu::HostTensor
Definition: HostTensor.cuh:22
faiss::gpu::HostTensor::equal
__host__ bool equal(const HostTensor< T, Dim, InnerContig, IndexT, PtrTraits > &t) const
Are the two tensors exactly equal?
Definition: HostTensor.cuh:66
faiss::gpu::HostTensor::maxDiff
__host__ T maxDiff(const HostTensor< T, Dim, InnerContig, IndexT, PtrTraits > &t) const
Returns the maximum difference seen between two tensors.
Definition: HostTensor-inl.cuh:119