Merge pull request #94 from tuna2134/refine

コードのリファイン
This commit is contained in:
コマリン親衛隊
2024-10-18 22:49:35 +09:00
committed by GitHub
6 changed files with 16 additions and 24 deletions

4
Cargo.lock generated
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@@ -1901,7 +1901,7 @@ dependencies = [
[[package]]
name = "sbv2_bindings"
version = "0.2.0-alpha1"
version = "0.2.0-alpha2"
dependencies = [
"anyhow",
"ndarray",
@@ -1911,7 +1911,7 @@ dependencies = [
[[package]]
name = "sbv2_core"
version = "0.2.0-alpha1"
version = "0.2.0-alpha2"
dependencies = [
"anyhow",
"dotenvy",

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@@ -9,7 +9,7 @@ axum = "0.7.5"
dotenvy.workspace = true
env_logger.workspace = true
log = "0.4.22"
sbv2_core = { version = "0.2.0-alpha", path = "../sbv2_core" }
sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core" }
serde = { version = "1.0.210", features = ["derive"] }
tokio = { version = "1.40.0", features = ["full"] }
utoipa = { version = "5.0.0", features = ["axum_extras"] }

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@@ -1,6 +1,6 @@
[package]
name = "sbv2_bindings"
version = "0.2.0-alpha1"
version = "0.2.0-alpha2"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
@@ -12,4 +12,4 @@ crate-type = ["cdylib"]
anyhow.workspace = true
ndarray.workspace = true
pyo3 = { version = "0.22.0", features = ["anyhow"] }
sbv2_core = { version = "0.2.0-alpha", path = "../sbv2_core" }
sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core" }

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@@ -1,7 +1,7 @@
[package]
name = "sbv2_core"
description = "Style-Bert-VITSの推論ライブラリ"
version = "0.2.0-alpha1"
version = "0.2.0-alpha2"
edition = "2021"
license = "MIT"
readme = "../README.md"

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@@ -1,5 +1,5 @@
use crate::error::Result;
use ndarray::Array2;
use ndarray::{Array2, Ix2};
use ort::Session;
pub fn predict(
@@ -14,10 +14,10 @@ pub fn predict(
}?
)?;
let output = outputs.get("output").unwrap();
let output = outputs["output"]
.try_extract_tensor::<f32>()?
.into_dimensionality::<Ix2>()?
.to_owned();
let content = output.try_extract_tensor::<f32>()?.to_owned();
let (data, _) = content.clone().into_raw_vec_and_offset();
Ok(Array2::from_shape_vec((content.shape()[0], content.shape()[1]), data).unwrap())
Ok(output)
}

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@@ -1,5 +1,5 @@
use crate::error::Result;
use ndarray::{array, Array1, Array2, Array3, Axis};
use ndarray::{array, Array1, Array2, Array3, Axis, Ix3};
use ort::{GraphOptimizationLevel, Session};
#[allow(clippy::vec_init_then_push, unused_variables)]
@@ -76,18 +76,10 @@ pub fn synthesize(
"length_scale" => array![length_scale],
}?)?;
let audio_array = outputs
.get("output")
.unwrap()
let audio_array = outputs["output"]
.try_extract_tensor::<f32>()?
.into_dimensionality::<Ix3>()?
.to_owned();
Ok(Array3::from_shape_vec(
(
audio_array.shape()[0],
audio_array.shape()[1],
audio_array.shape()[2],
),
audio_array.into_raw_vec_and_offset().0,
)?)
Ok(audio_array)
}