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chore(deps): update ort requirement from =2.0.0-rc.10 to =2.0.0-rc.11 #220

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Merged
Anush008 merged 3 commits into from
Jan 12, 2026
Merged

chore(deps): update ort requirement from =2.0.0-rc.10 to =2.0.0-rc.11 #220

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3586e76
chore(deps): update ort requirement from =2.0.0-rc.10 to =2.0.0-rc.11
dependabot[bot] Jan 12, 2026
2b6bd8f
chore(deps): update ndarray requirement from 0.16 to 0.17 (#221)
dependabot[bot] Jan 12, 2026
2a7fe75
ci: ONNX_VERSION: v1.23.2
Anush008 Jan 12, 2026
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2 changes: 1 addition & 1 deletion .github/workflows/test.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ on:
env:
CARGO_TERM_COLOR: always
RUSTFLAGS: "-Dwarnings"
ONNX_VERSION: v1.22.1
ONNX_VERSION: v1.23.2

jobs:
test:
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6 changes: 3 additions & 3 deletions Cargo.toml
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Expand Up @@ -25,8 +25,8 @@ homepage = "https://crates.io/crates/fastembed"
anyhow = { version = "1" }
hf-hub = { version = "0.4.1", default-features = false, optional = true }
image = { version = "0.25.2", optional = true }
ndarray = { version = "0.16", default-features = false }
ort = { version = "=2.0.0-rc.10", default-features = false, features = [
ndarray = { version = "0.17", default-features = false }
ort = { version = "=2.0.0-rc.11", default-features = false, features = [
"ndarray", "std"
] }
safetensors = { version = "0.7" }
Expand All @@ -46,7 +46,7 @@ hf-hub = ["dep:hf-hub", "hf-hub?/ureq"]
hf-hub-native-tls = ["hf-hub", "hf-hub?/native-tls"]
hf-hub-rustls-tls = ["hf-hub", "hf-hub?/rustls-tls"]

ort-download-binaries = ["ort/download-binaries"]
ort-download-binaries = ["ort/download-binaries", "ort/tls-native"]
ort-load-dynamic = ["ort/load-dynamic"]

qwen3 = ["dep:candle-core", "dep:candle-nn", "hf-hub"]
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2 changes: 1 addition & 1 deletion src/image_embedding/impl.rs
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Expand Up @@ -210,7 +210,7 @@ impl ImageEmbedding {
let inputs_view: Vec<ArrayView3<f32>> = inputs.iter().map(|img| img.view()).collect();
let pixel_values_array = ndarray::stack(ndarray::Axis(0), &inputs_view)?;

let input_name = self.session.inputs[0].name.clone();
let input_name = self.session.inputs()[0].name().to_string();
let session_inputs = ort::inputs![
input_name => Value::from_array(pixel_values_array)?,
];
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4 changes: 2 additions & 2 deletions src/reranking/impl.rs
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Expand Up @@ -28,9 +28,9 @@ use super::{
impl TextRerank {
fn new(tokenizer: Tokenizer, session: Session) -> Self {
let need_token_type_ids = session
.inputs
.inputs()
.iter()
.any(|input| input.name == "token_type_ids");
.any(|input| input.name() == "token_type_ids");
Self {
tokenizer,
session,
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4 changes: 2 additions & 2 deletions src/sparse_text_embedding/impl.rs
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Expand Up @@ -80,9 +80,9 @@ impl SparseTextEmbedding {
#[cfg_attr(not(feature = "hf-hub"), allow(dead_code))]
fn new(tokenizer: Tokenizer, session: Session, model: SparseModel) -> Self {
let need_token_type_ids = session
.inputs
.inputs()
.iter()
.any(|input| input.name == "token_type_ids");
.any(|input| input.name() == "token_type_ids");
Self {
tokenizer,
session,
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4 changes: 2 additions & 2 deletions src/text_embedding/impl.rs
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Expand Up @@ -125,9 +125,9 @@ impl TextEmbedding {
output_key: Option<OutputKey>,
) -> Self {
let need_token_type_ids = session
.inputs
.inputs()
.iter()
.any(|input| input.name == "token_type_ids");
.any(|input| input.name() == "token_type_ids");

Self {
tokenizer,
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