Fix remaining Clippy warnings in tensor.rs and norm.rs

Author: “thucydides”

rustorch-core/src/ops/norm.rs

@@ -258,7 +258,7 @@ pub fn batch_norm2d(
     let storage = Storage::new(output_data);
     let mut tensor = Tensor::new_with_storage(storage, shape);
 
-    if training && (input.requires_grad() || gamma.map_or(false, |g| g.requires_grad()) || beta.is_some_and(|b| b.requires_grad())) {
+    if training && (input.requires_grad() || gamma.is_some_and(|g| g.requires_grad()) || beta.is_some_and(|b| b.requires_grad())) {
         tensor.set_requires_grad_mut(true);
         // Need to pass mean/inv_std to backward
         // But mean/inv_std are Vec<f32>.
@@ -491,7 +491,7 @@ pub fn layer_norm(
     let storage = Storage::new(output_data);
     let mut tensor = Tensor::new_with_storage(storage, shape);
 
-    if input.requires_grad() || weight.map_or(false, |w| w.requires_grad()) || bias.is_some_and(|b| b.requires_grad()) {
+    if input.requires_grad() || weight.is_some_and(|w| w.requires_grad()) || bias.is_some_and(|b| b.requires_grad()) {
         tensor.set_requires_grad_mut(true);
         // Store mean/inv_std for backward
         // They are (OuterDim). We can store as (OuterDim) tensor.

rustorch-core/src/tensor.rs

@@ -1,7 +1,7 @@
 use std::sync::{Arc, Mutex, RwLockReadGuard, RwLockWriteGuard};
 use std::fmt;
 use std::ops::{Add, Mul, Sub};
-use rand::Rng;
+// use rand::Rng;
 use rand_distr::{Normal, Uniform, Distribution};
 // use rayon::prelude::*;
 // use rayon::iter::{IntoParallelRefIterator, ParallelIterator, IndexedParallelIterator};