From bb1f0d5a62046c90eab24f037e48164773c33dc5 Mon Sep 17 00:00:00 2001
From: rjg-lyh <83491835+rjg-lyh@users.noreply.github.com>
Date: Mon, 22 Sep 2025 17:17:31 +0800
Subject: [PATCH] [main] remove the redundant log prints in
 register_custom_ops.py (#3094)

### What this PR does / why we need it?
This PR removed the redundant log prints in register_custom_ops.py, in
order to make output clear.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
CI passed with new added/existing test.

- vLLM version: v0.10.2
- vLLM main:
https://github.com/vllm-project/vllm/commit/9607d5eb449711b349d4c2bee0a9c94afcc7ed14

Signed-off-by: rjg-lyh <1318825571@qq.com>
---
 vllm_ascend/ops/register_custom_ops.py | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/vllm_ascend/ops/register_custom_ops.py b/vllm_ascend/ops/register_custom_ops.py
index 916b86f..1267066 100644
--- a/vllm_ascend/ops/register_custom_ops.py
+++ b/vllm_ascend/ops/register_custom_ops.py
@@ -7,7 +7,6 @@ from vllm.distributed import (get_tensor_model_parallel_rank,
                               tensor_model_parallel_all_reduce,
                               tensor_model_parallel_reduce_scatter)
 from vllm.forward_context import get_forward_context
-from vllm.logger import logger
 from vllm.utils import direct_register_custom_op
 
 import vllm_ascend.envs as envs_ascend
@@ -18,7 +17,6 @@ def _maybe_chunk_residual_impl(x: torch.Tensor,
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return residual
 
     if x.size(0) != residual.size(0):
@@ -41,7 +39,6 @@ def _maybe_all_gather_and_maybe_unpad_impl(x: torch.Tensor,
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return x
 
     flashcomm_v1_enabled = forward_context.flashcomm_v1_enabled
@@ -57,7 +54,6 @@ def _maybe_pad_and_reduce_impl(x: torch.Tensor) -> torch.Tensor:
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return tensor_model_parallel_all_reduce(x)
 
     flashcomm_v1_enabled = forward_context.flashcomm_v1_enabled
@@ -75,7 +71,6 @@ def _maybe_prefetch_mlp_gate_up_proj_impl(x_dependency: torch.Tensor,
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return
 
     if not forward_context.prefetch_mlp_enabled:
@@ -106,7 +101,6 @@ def _maybe_prefetch_mlp_down_proj_impl(x_dependency: torch.Tensor) -> None:
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return
 
     if not forward_context.prefetch_mlp_enabled:
@@ -136,7 +130,6 @@ def _maybe_wait_prefetch_done_impl(x: torch.Tensor) -> None:
     try:
         forward_context = get_forward_context()
     except AssertionError:
-        logger.info("Forward context is None, skipping the operation.")
         return
 
     if not forward_context.prefetch_mlp_enabled: