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Add a Context trait similar to anyhow::Context. (#2676)

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* Add a Context trait similar to anyhow::Context.

* Switch two unwrap to context.
This commit is contained in:
Laurent Mazare
2024-12-22 09:18:13 +01:00
committed by GitHub
parent 5c2f893e5a
commit 62ced44ea9
13 changed files with 97 additions and 41 deletions
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4
candle-transformers/src/models/segformer.rs
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@ -15,7 +15,7 @@
//!
use crate::models::with_tracing::{conv2d, linear, Conv2d, Linear};
use candle::{Module, ModuleT, Result, Tensor, D};
use candle::{Context, Module, ModuleT, Result, Tensor, D};
use candle_nn::{conv2d_no_bias, layer_norm, Activation, Conv2dConfig, VarBuilder};
use serde::Deserialize;
use std::collections::HashMap;
@ -633,7 +633,7 @@ impl ImageClassificationModel {
impl Module for ImageClassificationModel {
fn forward(&self, x: &Tensor) -> Result<Tensor> {
let all_hidden_states = self.segformer.forward(x)?;
let hidden_states = all_hidden_states.last().unwrap();
let hidden_states = all_hidden_states.last().context("no last")?;
let hidden_states = hidden_states.flatten_from(2)?.permute((0, 2, 1))?;
let mean = hidden_states.mean(1)?;
self.classifier.forward(&mean)