Uploaded using `kernel-builder`.

README.md

@@ -285,40 +285,40 @@ shape, mean over 100 iterations. Baseline runs once after warmup.
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/bnpo_loss_eager/bnpo_loss_eager_dark_animation.svg">
-  <img width="80%" src="benchmark_results/bnpo_loss_eager/bnpo_loss_eager_light_animation.svg" alt="BNPO loss latency vs eager PyTorch">
+  <img width="90%" src="benchmark_results/bnpo_loss_eager/bnpo_loss_eager_light_animation.svg" alt="BNPO loss latency vs eager PyTorch">
 </picture>
 
 ### BNPO Loss vs torch.compile
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/bnpo_loss_compiled/bnpo_loss_compiled_dark_animation.svg">
-  <img width="80%" src="benchmark_results/bnpo_loss_compiled/bnpo_loss_compiled_light_animation.svg" alt="BNPO loss latency vs torch.compile">
+  <img width="90%" src="benchmark_results/bnpo_loss_compiled/bnpo_loss_compiled_light_animation.svg" alt="BNPO loss latency vs torch.compile">
 </picture>
 
 ### GRPO Loss vs eager PyTorch
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/grpo_loss_eager/grpo_loss_eager_dark_animation.svg">
-  <img width="80%" src="benchmark_results/grpo_loss_eager/grpo_loss_eager_light_animation.svg" alt="GRPO loss latency vs eager PyTorch">
+  <img width="90%" src="benchmark_results/grpo_loss_eager/grpo_loss_eager_light_animation.svg" alt="GRPO loss latency vs eager PyTorch">
 </picture>
 
 ### GRPO Loss vs torch.compile
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/grpo_loss_compiled/grpo_loss_compiled_dark_animation.svg">
-  <img width="80%" src="benchmark_results/grpo_loss_compiled/grpo_loss_compiled_light_animation.svg" alt="GRPO loss latency vs torch.compile">
+  <img width="90%" src="benchmark_results/grpo_loss_compiled/grpo_loss_compiled_light_animation.svg" alt="GRPO loss latency vs torch.compile">
 </picture>
 
 ### Reverse KL vs eager PyTorch
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/reverse_kl_eager/reverse_kl_eager_dark_animation.svg">
-  <img width="80%" src="benchmark_results/reverse_kl_eager/reverse_kl_eager_light_animation.svg" alt="Reverse KL latency vs eager PyTorch">
+  <img width="90%" src="benchmark_results/reverse_kl_eager/reverse_kl_eager_light_animation.svg" alt="Reverse KL latency vs eager PyTorch">
 </picture>
 
 ### Reverse KL vs torch.compile
 
 <picture>
   <source media="(prefers-color-scheme: dark)" srcset="benchmark_results/reverse_kl_compiled/reverse_kl_compiled_dark_animation.svg">
-  <img width="80%" src="benchmark_results/reverse_kl_compiled/reverse_kl_compiled_light_animation.svg" alt="Reverse KL latency vs torch.compile">
+  <img width="90%" src="benchmark_results/reverse_kl_compiled/reverse_kl_compiled_light_animation.svg" alt="Reverse KL latency vs torch.compile">
 </picture>