mirror of
https://github.com/neodyland/sbv2-api.git
synced 2026-01-10 08:22:57 +00:00
4
Cargo.lock
generated
4
Cargo.lock
generated
@@ -1901,7 +1901,7 @@ dependencies = [
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[[package]]
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name = "sbv2_bindings"
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version = "0.2.0-alpha1"
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version = "0.2.0-alpha2"
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dependencies = [
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"anyhow",
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"ndarray",
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@@ -1911,7 +1911,7 @@ dependencies = [
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[[package]]
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name = "sbv2_core"
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version = "0.2.0-alpha1"
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version = "0.2.0-alpha2"
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dependencies = [
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"anyhow",
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"dotenvy",
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@@ -9,7 +9,7 @@ axum = "0.7.5"
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dotenvy.workspace = true
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env_logger.workspace = true
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log = "0.4.22"
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sbv2_core = { version = "0.2.0-alpha", path = "../sbv2_core" }
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sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core" }
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serde = { version = "1.0.210", features = ["derive"] }
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tokio = { version = "1.40.0", features = ["full"] }
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utoipa = { version = "5.0.0", features = ["axum_extras"] }
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@@ -1,6 +1,6 @@
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[package]
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name = "sbv2_bindings"
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version = "0.2.0-alpha1"
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version = "0.2.0-alpha2"
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edition = "2021"
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# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
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@@ -12,4 +12,4 @@ crate-type = ["cdylib"]
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anyhow.workspace = true
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ndarray.workspace = true
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pyo3 = { version = "0.22.0", features = ["anyhow"] }
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sbv2_core = { version = "0.2.0-alpha", path = "../sbv2_core" }
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sbv2_core = { version = "0.2.0-alpha2", path = "../sbv2_core" }
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@@ -1,7 +1,7 @@
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[package]
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name = "sbv2_core"
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description = "Style-Bert-VITSの推論ライブラリ"
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version = "0.2.0-alpha1"
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version = "0.2.0-alpha2"
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edition = "2021"
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license = "MIT"
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readme = "../README.md"
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@@ -1,5 +1,5 @@
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use crate::error::Result;
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use ndarray::Array2;
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use ndarray::{Array2, Ix2};
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use ort::Session;
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pub fn predict(
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@@ -14,10 +14,10 @@ pub fn predict(
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}?
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)?;
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let output = outputs.get("output").unwrap();
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let output = outputs["output"]
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.try_extract_tensor::<f32>()?
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.into_dimensionality::<Ix2>()?
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.to_owned();
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let content = output.try_extract_tensor::<f32>()?.to_owned();
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let (data, _) = content.clone().into_raw_vec_and_offset();
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Ok(Array2::from_shape_vec((content.shape()[0], content.shape()[1]), data).unwrap())
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Ok(output)
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}
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@@ -1,5 +1,5 @@
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use crate::error::Result;
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use ndarray::{array, Array1, Array2, Array3, Axis};
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use ndarray::{array, Array1, Array2, Array3, Axis, Ix3};
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use ort::{GraphOptimizationLevel, Session};
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#[allow(clippy::vec_init_then_push, unused_variables)]
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@@ -76,18 +76,10 @@ pub fn synthesize(
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"length_scale" => array![length_scale],
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}?)?;
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let audio_array = outputs
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.get("output")
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.unwrap()
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let audio_array = outputs["output"]
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.try_extract_tensor::<f32>()?
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.into_dimensionality::<Ix3>()?
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.to_owned();
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Ok(Array3::from_shape_vec(
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(
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audio_array.shape()[0],
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audio_array.shape()[1],
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audio_array.shape()[2],
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),
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audio_array.into_raw_vec_and_offset().0,
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)?)
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Ok(audio_array)
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}
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