burn_autodiff/ops/
bool_tensor.rs

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
use crate::{checkpoint::strategy::CheckpointStrategy, tensor::AutodiffTensor, Autodiff};

use burn_tensor::{
    backend::Backend,
    ops::{BoolTensor, BoolTensorOps, IntTensor},
    Device, Shape, TensorData,
};

impl<B: Backend, C: CheckpointStrategy> BoolTensorOps<Self> for Autodiff<B, C> {
    fn bool_from_data(data: TensorData, device: &Device<B>) -> BoolTensor<B> {
        B::bool_from_data(data, device)
    }

    fn bool_shape(tensor: &BoolTensor<B>) -> Shape {
        B::bool_shape(tensor)
    }

    async fn bool_into_data(tensor: BoolTensor<B>) -> TensorData {
        B::bool_into_data(tensor).await
    }

    fn bool_into_int(tensor: BoolTensor<B>) -> IntTensor<B> {
        B::bool_into_int(tensor)
    }

    fn bool_to_device(tensor: BoolTensor<B>, device: &Device<B>) -> BoolTensor<B> {
        B::bool_to_device(tensor, device)
    }

    fn bool_device(tensor: &BoolTensor<B>) -> Device<B> {
        B::bool_device(tensor)
    }

    fn bool_reshape(tensor: BoolTensor<B>, shape: Shape) -> BoolTensor<B> {
        B::bool_reshape(tensor, shape)
    }

    fn bool_slice(tensor: BoolTensor<B>, ranges: &[std::ops::Range<usize>]) -> BoolTensor<B> {
        B::bool_slice(tensor, ranges)
    }

    fn bool_empty(shape: Shape, device: &Device<B>) -> BoolTensor<B> {
        B::bool_empty(shape, device)
    }

    fn bool_slice_assign(
        tensor: BoolTensor<Self>,
        ranges: &[std::ops::Range<usize>],
        value: BoolTensor<Self>,
    ) -> BoolTensor<Self> {
        B::bool_slice_assign(tensor, ranges, value)
    }

    fn bool_cat(tensors: Vec<BoolTensor<B>>, dim: usize) -> BoolTensor<B> {
        B::bool_cat(tensors, dim)
    }

    fn bool_equal(lhs: BoolTensor<B>, rhs: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_equal(lhs, rhs)
    }

    fn bool_not(tensor: BoolTensor<B>) -> BoolTensor<B> {
        B::bool_not(tensor)
    }

    fn bool_into_float(tensor: BoolTensor<B>) -> <Autodiff<B> as Backend>::FloatTensorPrimitive {
        AutodiffTensor::new(B::bool_into_float(tensor))
    }

    fn bool_swap_dims(
        tensor: <Autodiff<B> as Backend>::BoolTensorPrimitive,
        dim1: usize,
        dim2: usize,
    ) -> <Autodiff<B> as Backend>::BoolTensorPrimitive {
        B::bool_swap_dims(tensor, dim1, dim2)
    }

    fn bool_narrow(
        tensor: BoolTensor<B>,
        dim: usize,
        start: usize,
        length: usize,
    ) -> BoolTensor<B> {
        B::bool_narrow(tensor, dim, start, length)
    }

    fn bool_chunk(tensor: BoolTensor<B>, chunks: usize, dim: usize) -> Vec<BoolTensor<B>> {
        B::bool_chunk(tensor, chunks, dim)
    }

    fn bool_permute(tensor: BoolTensor<Self>, axes: &[usize]) -> BoolTensor<Self> {
        B::bool_permute(tensor, axes)
    }

    fn bool_flip(tensor: BoolTensor<B>, axes: &[usize]) -> BoolTensor<B> {
        B::bool_flip(tensor, axes)
    }

    async fn bool_argwhere(tensor: BoolTensor<B>) -> IntTensor<B> {
        B::bool_argwhere(tensor).await
    }

    async fn bool_nonzero(tensor: BoolTensor<B>) -> Vec<IntTensor<B>> {
        B::bool_nonzero(tensor).await
    }

    fn bool_expand(tensor: BoolTensor<B>, shape: Shape) -> BoolTensor<B> {
        B::bool_expand(tensor, shape)
    }

    fn bool_repeat_dim(tensor: BoolTensor<B>, dim: usize, times: usize) -> BoolTensor<B> {
        B::bool_repeat_dim(tensor, dim, times)
    }
}