style: cargo fmt --workspace (whitespace/wrapping only, no semantic change)

Whole-workspace rustfmt pass picked up while iterating on Mamba GPU
backward work. Verified formatting-only via diff sampling; no logic
changed.

Co-Authored-By: Claude Sonnet 5 <[email protected]>

crates/production/rtx-inference/src/engine/forward_pass.rs

@@ -148,7 +148,9 @@ impl ForwardPass {
         let get_attn_weight = |proj: &str| {
             model_weights
                 .get(&format!("layers.{layer_idx}.self_attn.{proj}.weight"))
-                .or_else(|| model_weights.get(&format!("layers.{layer_idx}.attention.{proj}.weight")))
+                .or_else(|| {
+                    model_weights.get(&format!("layers.{layer_idx}.attention.{proj}.weight"))
+                })
         };
         let q_weight = get_attn_weight("q_proj")
             .ok_or_else(|| InferenceError::model_not_found("Q projection weights"))?;

crates/production/rtx-inference/src/engine/inference.rs

@@ -130,12 +130,15 @@ impl TokenGenerator {
         let vocab_size = *dims.last().ok_or_else(|| InferenceError::InvalidRequest {
             message: "logits tensor has no dimensions".to_string(),
         })?;
-        let all_logits = logits.to_vec().map_err(|e| InferenceError::InvalidRequest {
-            message: format!("failed to copy logits to host: {e}"),
-        })?;
+        let all_logits = logits
+            .to_vec()
+            .map_err(|e| InferenceError::InvalidRequest {
+                message: format!("failed to copy logits to host: {e}"),
+            })?;
         // For [batch, seq, vocab] (or [seq, vocab]) take the final vocab_size slice:
         // the last token's logits.
-        let logits_data: Vec<f32> = all_logits[all_logits.len().saturating_sub(vocab_size)..].to_vec();
+        let logits_data: Vec<f32> =
+            all_logits[all_logits.len().saturating_sub(vocab_size)..].to_vec();
 
         // Apply temperature scaling
         let scaled_logits: Vec<f32> = if temperature != 1.0 && temperature > 0.0 {