ruda_tensor/api/
mod.rs

1pub(crate) mod stats;
2
3pub(crate) mod check;
4
5mod autodiff;
6mod base;
7mod bool;
8mod cartesian_grid;
9#[path = "cast.rs"]
10mod tensor_cast;
11mod float;
12mod fmod;
13mod int;
14mod numeric;
15mod moe;
16mod exchange;
17mod moe_exchange;
18pub use moe_exchange::{NativeMoeDispatched,dispatch_moe,combine_moe,received_moe_experts};
19mod options;
20mod orderable;
21mod pad;
22pub use pad::IntoPadding;
23mod take;
24mod transaction;
25pub mod sparse;
26
27mod trunc;
28
29pub use autodiff::*;
30pub use base::*;
31pub use cartesian_grid::cartesian_grid;
32pub use tensor_cast::*;
33pub use crate::element::cast;
34pub use float::{DEFAULT_ATOL, DEFAULT_RTOL};
35pub use numeric::*;
36pub use moe::{selected_router_weights,selected_router_weights_backward};
37pub use options::*;
38pub use transaction::*;
39
40pub use crate::tensor::IndexingUpdateOp;
41pub use crate::collective::{TensorCollective,ReplicatedTensorCollective,BroadcastTensorCollective,IntegerTensorCollective,VariableTensorCollective,VariableTensorExchange};
42pub use crate::frozen_awq::{FrozenAwqOps, FrozenAwqError};
43pub use crate::frozen_nf4::{FrozenNf4Ops,FrozenNf4Error,Nf4ProjectionOptions};
44pub use crate::grouped_nf4::{Nf4GroupedOptions,Nf4ExpertPayload,FrozenNf4GroupedOps,FrozenNf4SwiGluOps};
45pub use crate::packed_experts::{AwqExpertOptions,AwqExpertPayload,PackedExpertPayload,PackedExpertAutodiffError,FrozenPackedExpertOps};
46pub use crate::expert_projection::{ExpertProjectionOptions,ExpertProjectionSelection,ExpertProjectionBackward,ExpertProjectionOps,
47    NativeSwiGluSelection,NativeSwiGluBackward,NativeSwiGluOps};
48pub use crate::moe::{MoeOps,MoeOptions,MoeSelectionOptions,MoeRouterScoring,MoeRouterWeightOptions,
49    MoeExpertStrategy,MoeCombineGradientStrategy,MoeBackward,MoeGradientSelection,MoeBackwardSelected,MoeAutodiffError};
50pub use crate::moe_exchange::{MoeDispatched,MoeDispatchOps,MoeCombineSelection,MoeCombineBackward,
51    MoeReceivedOptions,MoeReceivedSelection,MoeReceivedBackward,MoeReceivedOps};
52
53// Re-exported types
54pub use crate::{
55    BoolDType, BoolStore, DType, DataError, FloatDType, IntDType, TensorData, TensorMetadata,
56    TensorPrimitive, Tolerance,
57    distribution::*,
58    element::*,
59    indexing::*,
60    ops::TransactionPrimitive,
61    shape::*,
62    slice::*,
63    tensor::{Bool, Float, Int, TensorKind},
64};
65
66/// The activation module.
67pub mod activation;
68
69/// The backend module.
70pub mod backend {
71    pub use crate::backend::*;
72}
73
74/// The container module.
75pub mod container {
76    pub use crate::tensor::TensorContainer;
77}
78
79/// The grid module.
80pub mod grid;
81
82/// The linalg module.
83pub mod linalg;
84
85/// The loss module.
86pub mod loss;
87
88/// The neural network module.
89pub mod module;
90
91/// The signal processing module.
92pub mod signal;
93
94/// Operations on tensors module.
95pub mod ops {
96    pub use crate::backend::ops::*;
97    pub use crate::tensor::{
98        BoolElem, BoolTensor, Device, FloatElem, FloatTensor, IntElem, IntTensor, QuantizedTensor,
99    };
100}
101
102/// Tensor quantization module.
103pub mod quantization;
104
105#[cfg(feature = "api-std")]
106pub use report::*;
107
108#[cfg(feature = "api-std")]
109mod report;
110
111pub use ops::Device; // Re-export device so that it's available from `ruda_tensor::api::Device`.
112
113pub(crate) use check::macros::check;
114
115pub use crate::{
116    AllocationProperty, Bytes, DeviceSettings, StreamId, bf16, f16, get_device_settings, read_sync,
117    set_default_dtypes, try_read_sync,
118};
ruda_tensor/api/mod.rs

ruda_tensor/api/
mod.rs
