apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-05 08:37:06 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

[Bug Fix] Fix bug of multimodal inputs only text (#3850)
Some checks failed
CE Compile Job / ce_job_pre_check (push) Has been cancelled
Details
CE Compile Job / print_ce_job_pre_check_outputs (push) Has been cancelled
Details
CE Compile Job / FD-Clone-Linux (push) Has been cancelled
Details
CE Compile Job / Show Code Archive Output (push) Has been cancelled
Details
CE Compile Job / BUILD_SM8090 (push) Has been cancelled
Details
CE Compile Job / BUILD_SM8689 (push) Has been cancelled
Details
CE Compile Job / CE_UPLOAD (push) Has been cancelled
Details

Browse Source
This commit is contained in:
ming1753
2025-09-03 19:48:10 +08:00
committed by GitHub
parent 9213a58a06
commit 1432e336d7
1 changed files with 1 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
fastdeploy/engine/sched/resource_manager_v1.py
View File

@@ -141,6 +141,7 @@ class ResourceManagerV1(ResourceManager):
if not self.config.model_config.enable_mm: if not self.config.model_config.enable_mm:
return num_new_tokens return num_new_tokens
request.with_image = False
inputs = request.multimodal_inputs inputs = request.multimodal_inputs
if inputs.get("patch_idx", None) is not None and inputs.get("patch_map", None) is not None: if inputs.get("patch_idx", None) is not None and inputs.get("patch_map", None) is not None:
pre_end_idx = request.num_computed_tokens pre_end_idx = request.num_computed_tokens
@@ -184,8 +185,6 @@ class ResourceManagerV1(ResourceManager):
and inputs.get("image_patch_id", None) is not None and inputs.get("image_patch_id", None) is not None
and inputs.get("grid_thw", None) is not None and inputs.get("grid_thw", None) is not None
): ):
request.with_image = False
input_ids_lst = request.prompt_token_ids + request.output_token_ids input_ids_lst = request.prompt_token_ids + request.output_token_ids
input_ids = paddle.to_tensor(input_ids_lst, dtype="int64") input_ids = paddle.to_tensor(input_ids_lst, dtype="int64")
input_ids = paddle.to_tensor(input_ids_lst, dtype="int64") input_ids = paddle.to_tensor(input_ids_lst, dtype="int64")