diff --git a/pprobe/bootstrap/hook_setup.py b/pprobe/bootstrap/hook_setup.py
index 9d01422..2029964 100644
--- a/pprobe/bootstrap/hook_setup.py
+++ b/pprobe/bootstrap/hook_setup.py
@@ -7,6 +7,10 @@
     func_torch_step_count_wrapper,
     dataloader_next_method_wrapper,
 )
+from pprobe.bootstrap.hooks.pytorch_optim import (
+    lr_scheduler_step_method_wrapper,
+    optimizer_zero_grad_method_wrapper,
+)
 from pprobe.bootstrap.hooks.pytorch_perf import func_torch_device_conversion_wrapper
 
 
@@ -84,45 +88,34 @@ def check_and_run_hook(self, module_fullname):
             # torch part
             if module_fullname == "torch":
                 if self.torch_reproduce_enabled:
-                    # TODO
                     pass
                 if self.torch_catch_step_enabled:
                     self.run_torch_catch_step_hook()
                 if self.torch_catch_loss_enabled:
-                    # TODO
                     pass
                 if self.torch_catch_lr_enabled:
-                    # TODO
-                    pass
+                    self.run_torch_catch_lr_hook()
                 if self.torch_dump_op_enabled:
                     self.run_torch_func_hook()
                 if self.torch_dump_aten_enabled:
-                    # TODO
                     pass
                 if self.torch_dump_dist_enabled:
                     self.run_torch_dist_hook()
                 if self.torch_dump_module_enabled:
                     self.run_torch_module_hook()
                 if self.torch_dump_optim_enabled:
-                    # TODO
                     pass
                 if self.torch_catch_memory_enabled:
-                    # TODO
                     pass
                 if self.torch_test_dump_op_enabled:
-                    # TODO
                     pass
                 if self.torch_test_dump_dist_enabled:
-                    # TODO
                     pass
                 if self.torch_test_dump_module_enabled:
-                    # TODO
                     pass
                 if self.torch_perf_issue_enabled:
-                    # TODO
                     pass
                 if self.torch_torch_trace_file_enabled:
-                    # TODO
                     pass
         else:
             self.print_warning()
@@ -246,6 +239,18 @@ def run_torch_catch_step_hook(self):
             )
         )
 
+    def run_torch_catch_lr_hook(self):
+        Logger.info(f"[PPROBE] torch catch lr hook executed")
+        self.module.optim.lr_scheduler.LRScheduler.step = (
+            lr_scheduler_step_method_wrapper(
+                self.module.optim.lr_scheduler.LRScheduler.step
+            )
+        )
+
+        self.module.optim.Optimizer.zero_grad = optimizer_zero_grad_method_wrapper(
+            self.module.optim.Optimizer.zero_grad
+        )
+
     def run_torch_perf_hook(self):
         Logger.info(f"[PPROBE] torch perf hook executed")
 
diff --git a/pprobe/bootstrap/hooks/pytorch_optim.py b/pprobe/bootstrap/hooks/pytorch_optim.py
index e69de29..0beb3a2 100644
--- a/pprobe/bootstrap/hooks/pytorch_optim.py
+++ b/pprobe/bootstrap/hooks/pytorch_optim.py
@@ -0,0 +1,25 @@
+from pprobe.utils.logging import Logger
+from typing import Any, Callable, Optional
+
+
+def lr_scheduler_step_method_wrapper(
+    original_method: Callable, epoch: Optional[int] = None
+):
+    def wrapper(self) -> Any:
+        lr = self.get_lr()
+        Logger.info(f"[PPROBE] INIT LR ===> {lr}")
+        return original_method(self, epoch)
+
+    return wrapper
+
+
+def optimizer_zero_grad_method_wrapper(
+    original_method, set_to_none: bool = True
+) -> None:
+    def wrapper(self) -> Any:
+        for group in self.param_groups:
+            lr = group["lr"]
+            Logger.info(f"[PPROBE] Iteration optimizer lr ===> {lr}")
+        return original_method(self, set_to_none)
+
+    return wrapper
diff --git a/pprobe/tests/xtest_torchvision_model.py b/pprobe/tests/xtest_torchvision_model.py
index a11256d..cda1cd5 100644
--- a/pprobe/tests/xtest_torchvision_model.py
+++ b/pprobe/tests/xtest_torchvision_model.py
@@ -506,7 +506,9 @@ def run_validate(loader, base_progress=0):
                     progress.display(i + 1)
 
                 if i >= 2:
-                    print(f"MODEL EVAL FINISH {args.arch}: time duration:{time.time()-ST}")
+                    print(
+                        f"MODEL EVAL FINISH {args.arch}: time duration:{time.time()-ST}"
+                    )
                     import sys
 
                     sys.exit(0)
diff --git a/script/test.sh b/script/test.sh
index 9c000b4..c72ca05 100644
--- a/script/test.sh
+++ b/script/test.sh
@@ -11,7 +11,8 @@ cd pprobe/tests
 
 PPROBE --enable PPROBE_ENABLE
 PPROBE --enable TORCH_DUMP_MODULE
-PPROBE --enable TORCH_CATCH_STEP 
+PPROBE --enable TORCH_CATCH_STEP
+PPROBE --enable TORCH_CATCH_LR
 
 PPROBE_ENABLE=1 python xtest_torchvision_model.py -a resnet50 --epochs 1 -b 12 -p 1 --seed 42 --dummy 
 PPROBE_ENABLE=1 python xtest_torchvision_model.py -a resnet50 --epochs 1 -b 12 -p 1 --seed 42 --dummy --evaluate