yscv-model 0.1.0

Neural network layers, training loop, model zoo, and data loading
Documentation 
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

# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
rust-version = "1.92"
name = "yscv-model"
version = "0.1.0"
authors = ["yscv contributors"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Neural network layers, training loop, model zoo, and data loading"
readme = false
keywords = [
    "tensor",
    "simd",
    "deep-learning",
    "image-processing",
    "neon",
]
categories = [
    "computer-vision",
    "science",
    "algorithms",
    "multimedia",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/nickstienz/yscv"
resolver = "2"

[lib]
name = "yscv_model"
path = "src/lib.rs"

[[bench]]
name = "model_runtime_ops"
path = "benches/model_runtime_ops.rs"
harness = false

[dependencies.image]
version = "0.25"
features = [
    "jpeg",
    "png",
]
default-features = false

[dependencies.serde]
version = "1"
features = ["derive"]

[dependencies.serde_json]
version = "1"

[dependencies.thiserror]
version = "2"

[dependencies.yscv-autograd]
version = "0.1.0"

[dependencies.yscv-imgproc]
version = "0.1.0"

[dependencies.yscv-kernels]
version = "0.1.0"

[dependencies.yscv-onnx]
version = "0.1.0"

[dependencies.yscv-optim]
version = "0.1.0"

[dependencies.yscv-tensor]
version = "0.1.0"

[dev-dependencies.criterion]
version = "0.5"
features = ["cargo_bench_support"]
default-features = false

[lints.clippy]
if_same_then_else = "allow"
large_enum_variant = "allow"
needless_range_loop = "allow"
new_without_default = "allow"
should_implement_trait = "allow"
too_many_arguments = "allow"
type_complexity = "allow"

[lints.rust]
unsafe_code = "deny"