[ci] Lint for trailing newlines and spaces

.gitattributes

@@ -1,2 +1 @@
 Jenkinsfile linguist-generated=true
-

.github/ISSUE_TEMPLATE/documentation.md

@@ -24,4 +24,3 @@ Otherwise, specify what actions should be taken to provide additional clarity/re
 Please refer to the list of label tags [here](https://github.com/apache/tvm/wiki/Issue-Triage-Labels) to find the relevant tags and add them below in a bullet format (example below).
 
 * needs-triage
-

.github/actions/setup/action.yml

@@ -33,4 +33,3 @@ runs:
     run: |
       conda info
       conda list
-

.github/dependabot.yml

@@ -12,4 +12,4 @@ updates:
     directory: "/"
     schedule:
       interval: "monthly"
-    open-pull-requests-limit: 0
+    open-pull-requests-limit: 0

.github/workflows/main.yml

@@ -60,7 +60,7 @@ jobs:
                        -DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
                        -DCMAKE_BUILD_WITH_INSTALL_NAME_DIR=ON \
                        -DUSE_IOS_RPC=ON"
-          
+
           mkdir build-ios-simulator
           cd build-ios-simulator
           cmake .. ${CMAKE_FLAGS}
@@ -164,4 +164,4 @@ jobs:
         uses: actions/upload-artifact@v2
         with:
           name: android_camera-debug.apk
-          path: ./apps/android_camera/app/build/outputs/apk/debug/app-debug.apk
+          path: ./apps/android_camera/app/build/outputs/apk/debug/app-debug.apk

3rdparty/libcrc/tab/gentab_ccitt.inc

@@ -267,4 +267,3 @@ const uint16_t crc_tabccitt[256] = {
 	0x0ED1u,
 	0x1EF0u
 };
-

NEWS.md

@@ -2770,5 +2770,3 @@ We also make major improvements in supporting new backends: ROCm for AMDGPUs and
 - DLPack integration support
 - AOT and module system
 - Basic code structure ready.
-
-

apps/android_camera/app/src/main/jni/Android.mk

@@ -57,4 +57,4 @@ ifdef ADD_LDLIBS
 	LOCAL_LDLIBS += $(ADD_LDLIBS)
 endif
 
-include $(BUILD_SHARED_LIBRARY)
+include $(BUILD_SHARED_LIBRARY)

apps/android_camera/app/src/main/res/layout/activity_main.xml

@@ -20,4 +20,4 @@
     android:layout_width="match_parent"
     android:layout_height="match_parent"
     android:background="#000"
-    tools:context="org.apache.tvm.android.androidcamerademo.MainActivity" />
+    tools:context="org.apache.tvm.android.androidcamerademo.MainActivity" />

apps/android_camera/models/requirements.txt

@@ -1,4 +1,4 @@
 keras==2.9
 mxnet
 scipy
-tensorflow==2.9.1
+tensorflow==2.9.1

apps/android_deploy/app/build.gradle

@@ -20,7 +20,7 @@ project.ext.ASSET_DIR = projectDir.toString() + '/src/main/assets'
 project.ext.TMP_DIR   = project.buildDir.toString() + '/downloads'
 
 // Download default models(darknet framework extraction model compiled version);
-// if you wish to use your own models then place them in the "assets" directory 
+// if you wish to use your own models then place them in the "assets" directory
 // and comment out this line.
 apply from: "download-models.gradle"
 
@@ -101,4 +101,4 @@ dependencies {
     implementation 'com.android.support:design:28.0.0'
     implementation files('../../../jvm/core/target/tvm4j-core-0.0.1-SNAPSHOT.jar')
     testImplementation 'junit:junit:4.13.2'
-}
+}

apps/android_deploy/app/download-models.gradle

@@ -78,4 +78,3 @@ tasks.whenTaskAdded { task ->
         task.dependsOn 'extractModels'
     }
 }
-

apps/android_deploy/dev_tools/gen_keystore.sh

@@ -6,9 +6,9 @@
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
-# 
+#
 #   http://www.apache.org/licenses/LICENSE-2.0
-# 
+#
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

apps/android_deploy/dev_tools/sign_apk.sh

@@ -6,9 +6,9 @@
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
-# 
+#
 #   http://www.apache.org/licenses/LICENSE-2.0
-# 
+#
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

apps/android_deploy/gradle.properties

@@ -17,4 +17,4 @@
 
 org.gradle.jvmargs=-Xmx4096M
 android.useAndroidX=true
-android.enableJetifier=true
+android.enableJetifier=true

apps/android_rpc/dev_tools/gen_keystore.sh

@@ -6,9 +6,9 @@
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
-# 
+#
 #   http://www.apache.org/licenses/LICENSE-2.0
-# 
+#
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

apps/android_rpc/dev_tools/sign_apk.sh

@@ -6,9 +6,9 @@
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
-# 
+#
 #   http://www.apache.org/licenses/LICENSE-2.0
-# 
+#
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

apps/bundle_deploy/README.md

@@ -48,13 +48,13 @@ This will:
 - Compile the model with Relay
 - Build a `bundle.so` shared object containing the model specification and
   parameters
-- Build a `demo_dynamic` executable that `dlopen`'s `bundle.so` (or `bundle_c.so` in 
+- Build a `demo_dynamic` executable that `dlopen`'s `bundle.so` (or `bundle_c.so` in
   terms of the MISRA-C runtime), instantiates the contained graph executor,
   and invokes the `GraphExecutor::Run` function on a cat image, then prints
   the output results.
 
 Type the following command to run the sample code with static linking.
-  
+
 ```bash
 make demo_static
 ```
@@ -63,5 +63,5 @@ This will:
 - Download the mobilenet0.25 model from the MXNet Gluon Model Zoo
 - Compile the model with Relay and outputs `model.o`
 - Build a `bundle_static.o` object containing the runtime functions
-- Build a `demo_static` executable which has static link to `bundle_static.o` and 
+- Build a `demo_static` executable which has static link to `bundle_static.o` and
   `model.o`, functions on a cat image, then prints the output results.

apps/cpp_rpc/CMakeLists.txt

@@ -70,5 +70,5 @@ if(BUILD_STATIC_RUNTIME)
 else()
   list(APPEND TVM_RPC_LINKER_LIBS tvm_runtime)
 endif()
- 
+
 target_link_libraries(tvm_rpc ${TVM_RPC_LINKER_LIBS})

apps/hexagon_launcher/cmake/hexagon/CMakeLists.txt

@@ -100,4 +100,3 @@ add_library(h_tvm_runtime STATIC IMPORTED)
 set_target_properties(h_tvm_runtime PROPERTIES IMPORTED_LOCATION "${BINARY_DIR}/libtvm_runtime.a")
 
 target_link_libraries(launcher_rpc_skel -Wl,--whole-archive h_tvm_runtime -Wl,--no-whole-archive)
-

apps/ios_rpc/.gitignore

@@ -1,2 +1 @@
 rpc_config.txt
-

apps/ios_rpc/README.md

@@ -79,7 +79,7 @@ You can get value of your `team_id` in the following ways:
   select target `tvmrpc`. At the bottom of this panel go to `Signing &
   Capabilities` tab and in the field `Team` select your local developer profile
   (`Your Name (Personal Team)`).
-  
+
   On the first run of the application you may see message `Could not launch
   "tvmrpc"` in the XCode and message `Untrusted Developer` on your device. In
   this case it will be necessary to check the certificate. Open
@@ -210,7 +210,7 @@ model and execute it on the target device. For this purpose we will use
 ```shell
 python3 tests/ios_rpc_test.py --host <host_ip_address> --port 9190 --mode "tracker"
 ```
-The output will be the same as in section 
+The output will be the same as in section
 [Standalone RPC](#standalone-rpc).
 
 ## Communication without Wi-Fi and speed up in case of slow Wi-Fi

apps/ios_rpc/tvmrpc/Assets.xcassets/AppIcon.appiconset/Contents.json

@@ -90,4 +90,4 @@
     "version" : 1,
     "author" : "xcode"
   }
-}
+}

apps/microtvm/README.md

@@ -27,5 +27,3 @@ dependencies installed for running microTVM. To use it, run:
 $ poetry lock && poetry install
 $ poetry shell
 ```
-
-

apps/microtvm/cmsisnn/README.md

@@ -28,7 +28,7 @@ If the demo is run in the ci_cpu Docker container provided with TVM, then the fo
 software will already be installed.
 
 If the demo is not run in the ci_cpu Docker container, then you will need the following:
-- Software required to build and run the demo (These can all be installed by running 
+- Software required to build and run the demo (These can all be installed by running
   tvm/docker/install/ubuntu_install_ethosu_driver_stack.sh.)
   - [Fixed Virtual Platform (FVP) based on Arm(R) Corstone(TM)-300 software](https://developer.arm.com/tools-and-software/open-source-software/arm-platforms-software/arm-ecosystem-fvps)
   - [cmake 3.19.5](https://github.com/Kitware/CMake/releases/)

apps/microtvm/cmsisnn/corstone300.ld

@@ -140,7 +140,7 @@ SECTIONS
     *(.rodata.tvm)
     . = ALIGN (16);
     *(.data.tvm);
-    . = ALIGN(16);    
+    . = ALIGN(16);
   } > DDR
 
   .text :

apps/microtvm/reference-vm/README.md

@@ -30,8 +30,8 @@ For more information on how to use them, see the
 
 Each RTOS or platform (like Zephyr, Ardunio, etc) that integrates with microTVM
 can check-in installation scripts in the Reference VM in this directory to help
-the community collaborate. You should use the tools provided here to ensure a 
-uniform release process across all platforms. Typically, releases need to be 
+the community collaborate. You should use the tools provided here to ensure a
+uniform release process across all platforms. Typically, releases need to be
 created by TVM committers.
 
 Generally speaking, it's expected that any integrated platform with a regression

apps/microtvm/reference-vm/base-box/base_box_provision.sh

@@ -16,7 +16,7 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-#   Using this script we can reuse docker/install scripts to configure the reference 
+#   Using this script we can reuse docker/install scripts to configure the reference
 #   virtual machine similar to CI Cortex-M setup.
 #
 
@@ -42,7 +42,7 @@ cd ~
 sudo apt-get install -y ca-certificates
 
 # Install Arduino-CLI (specific version)
-# To keep in sync with the version 
+# To keep in sync with the version
 # defined in apps/microtvm/arduino/template_project/microtvm_api_server.py
 ARDUINO_CLI_VERSION="0.21.1"
 

apps/microtvm/zephyr/README.md

@@ -16,4 +16,3 @@
 <!--- under the License. -->
 
 This directory contains code to interface microTVM with the [Zephyr RTOS](https://zephyrproject.org/).
-

apps/microtvm/zephyr/template_project/src/host_driven/fvp/semihost.c

@@ -84,4 +84,4 @@ ssize_t semihost_write(void* unused_context, const uint8_t* data, size_t size) {
   write_req.size = size;
   uint32_t ret_val = semihost_cmd(0x05, &write_req);
   return size - ret_val;
-}
+}

apps/microtvm/zephyr_cmsisnn/CMakeLists.txt

@@ -27,7 +27,7 @@ if (NOT DEFINED CMSIS_PATH)
 endif()
 
 set(TVMC_COMMAND python3 -m tvm.driver.tvmc)
-set(TVMC_ARGS 
+set(TVMC_ARGS
     --target="cmsis-nn -mcpu=cortex-m55, c" # CMSIS-NN and C targets
     --runtime=crt # C Runtime
     --executor=aot # Ahead-of-Time Executor
@@ -41,14 +41,14 @@ set(TVM_RUNTIME
     ${CMAKE_CURRENT_BINARY_DIR}/runtime/src/runtime/crt/common/crt_backend_api.c
     ${CMAKE_CURRENT_BINARY_DIR}/runtime/src/runtime/crt/memory/stack_allocator.c
 )
-set(CODEGEN_OUTPUT 
+set(CODEGEN_OUTPUT
     ${CMAKE_CURRENT_BINARY_DIR}/codegen/host/src/default_lib0.c
     ${CMAKE_CURRENT_BINARY_DIR}/codegen/host/src/default_lib1.c
     ${CMAKE_CURRENT_BINARY_DIR}/codegen/host/src/default_lib2.c
 )
-set(DATA_FILES 
-    ${CMAKE_CURRENT_BINARY_DIR}/inputs.c 
-    ${CMAKE_CURRENT_BINARY_DIR}/outputs.c 
+set(DATA_FILES
+    ${CMAKE_CURRENT_BINARY_DIR}/inputs.c
+    ${CMAKE_CURRENT_BINARY_DIR}/outputs.c
     ${CMAKE_CURRENT_BINARY_DIR}/labels.c
 )
 set(CMSIS_SOURCES
@@ -71,7 +71,7 @@ set(CMSIS_SOURCES
 
 add_custom_command(
     OUTPUT ${TVM_RUNTIME}
-    OUTPUT ${CODEGEN_OUTPUT} 
+    OUTPUT ${CODEGEN_OUTPUT}
     COMMAND ${TVMC_COMMAND} compile ${TVMC_ARGS} ${CMAKE_CURRENT_SOURCE_DIR}/model/cnn_s_quantized.tflite
     COMMAND tar xf ${CMAKE_CURRENT_BINARY_DIR}/module.tar
     WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
@@ -83,15 +83,15 @@ add_custom_command(
     WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
 )
 
-target_sources(app PRIVATE 
+target_sources(app PRIVATE
     src/main.c
     ${TVM_RUNTIME}
     ${CODEGEN_OUTPUT}
     ${DATA_FILES}
     ${CMSIS_SOURCES}
 )
-target_include_directories(app 
-    PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/include 
+target_include_directories(app
+    PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/include
     PUBLIC ${CMAKE_CURRENT_BINARY_DIR}/runtime/include ${CMAKE_CURRENT_BINARY_DIR}/codegen/host/include
     PUBLIC ${CMSIS_PATH}/CMSIS/NN/Include/ ${CMSIS_PATH}/CMSIS/DSP/Include
 )

apps/microtvm/zephyr_cmsisnn/README.md

@@ -30,7 +30,7 @@ Download the keyword spotting model to the `model` directory:
 wget \
     https://github.com/ARM-software/ML-zoo/blob/ee35139af86bdace5e502b09fe8b9da9cb1f06bb/models/keyword_spotting/cnn_small/tflite_int8/cnn_s_quantized.tflite \
     -O model/cnn_s_quantized.tflite
-``` 
+```
 
 Checkout [CMSIS_5](https://github.com/ARM-software/CMSIS_5.git) (default is `/opt/arm/ethosu/cmsis` to reflect `tlcpack/ci_cortexm`):
 ```

apps/microtvm/zephyr_cmsisnn/model/labels.txt

@@ -9,4 +9,4 @@ right
 on
 off
 stop
-go
+go

apps/microtvm/zephyr_cmsisnn/run_demo.sh

@@ -46,7 +46,7 @@ west zephyr-export
 west build
 west build -t run &> ${LOGDIR}/west.log &
 
-# Wait for "exit" keyword 
+# Wait for "exit" keyword
 until grep -m 1 "exit" ${LOGDIR}/west.log; do sleep 1 ; done
 
 # Check the log for correct output

apps/pt_tvmdsoop/prepare_and_test_pt_tvm_class.sh

@@ -22,12 +22,12 @@ echo "TVM_ROOT=${TVM_ROOT}"
 export PYTHONPATH=${TVM_ROOT}/python
 
 if [ ! -f $TVM_ROOT/build/libtvm.so ]; then
-    echo "$TVM_ROOT/build/libtvm.so missing" 
+    echo "$TVM_ROOT/build/libtvm.so missing"
     exit 1
 fi
 
 if [ ! -f $TVM_ROOT/build/libtvm_runtime.so ]; then
-    echo "$TVM_ROOT/build/libtvm_runtime.so missing" 
+    echo "$TVM_ROOT/build/libtvm_runtime.so missing"
     exit 1
 fi
 
@@ -43,4 +43,3 @@ if [ "$?" -eq 0 ]; then
 
     LD_LIBRARY_PATH=${TVM_ROOT}/build:./build:$LD_LIBRARY_PATH python3 -m pytest -v ./tests
 fi
-

apps/tf_tvmdsoop/prepare_and_test_tfop_module.sh

@@ -22,14 +22,13 @@ echo "TVM_ROOT=${TVM_ROOT}"
 export PYTHONPATH=${TVM_ROOT}/python
 
 python3 -c "import tvm; print(tvm.runtime.enabled('gpu'))" | grep -e 1
-if [ "$?" -eq 0 ]; then 
+if [ "$?" -eq 0 ]; then
     echo "Build TF_TVMDSOOP with gpu support and execute tests"
     CMAKE_OPTIONS="-DUSE_CUDA=ON -DPython3_EXECUTABLE=python3 -DTVM_ROOT=${TVM_ROOT}"
- 
+
     mkdir -p build
     cd build; cmake .. ${CMAKE_OPTIONS} && make
     cd ..
 
     LD_LIBRARY_PATH=${TVM_ROOT}/build:./build:$LD_LIBRARY_PATH python3 -m pytest -v ./tests
 fi
-