style(pre-commit): autofix

autowarefoundation · Oct 18, 2023 · 98301b6 · 98301b6
1 parent 754887d
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diff --git a/ansible/roles/artifacts/README.md b/ansible/roles/artifacts/README.md
@@ -2,7 +2,6 @@
 
 The Autoware perception stack uses models for inference. These models are automatically downloaded if using `ansible`, but they can also be downloaded manually.
 
-
 ## Download instructions
 
 The artifacts files are stored in a common location, hosted by Web.Auto
@@ -144,7 +143,7 @@ $ tar -xf ~/autoware_data/yabloc_pose_initializer/resources.tar.gz \
 # tvm_utility
 
 $ tar -xf ~/autoware_data/tvm_utility/yolo_v2_tiny-x86_64-llvm-3.0.0-20221221.tar.gz \
-       -C ~/autoware_data/tvm_utility/models/yolo_v2_tiny/ 
+       -C ~/autoware_data/tvm_utility/models/yolo_v2_tiny/
 
 
 # lidar_centerpoint_tvm

diff --git a/ansible/roles/artifacts/tasks/main.yaml b/ansible/roles/artifacts/tasks/main.yaml
@@ -362,7 +362,7 @@
     mode: "644"
     checksum: sha256:a41e6e3324e32c30b3b2fe38908eaf3471e2bfdaeb9e14ca0c1c3bc0275119c6
 
-# tvm_utility 
+# tvm_utility
 - name: Create tvm_utility/models directory inside {{ data_dir }}
   ansible.builtin.file:
     path: "{{ data_dir }}/tvm_utility/models"
@@ -453,4 +453,4 @@
 - name: Extract baidu_cnn-x86_64-llvm-3.0.0-20221221.tar.gz
   ansible.builtin.unarchive:
     src: "{{ data_dir }}/lidar_apollo_segmentation_tvm/baidu_cnn-x86_64-llvm-3.0.0-20221221.tar.gz"
-    dest: "{{ data_dir }}/lidar_apollo_segmentation_tvm/models/baidu_cnn"
+    dest: "{{ data_dir }}/lidar_apollo_segmentation_tvm/models/baidu_cnn"