[infra] Trim trailing whitespace (#16324)

This commit removes trailing whitespace from all files in infra directory.

ONE-DCO-1.0-Signed-off-by: Hyeongseok Oh <hseok82.oh@samsung.com>

Author: hseok-oh

infra/cmake/packages/CaffeSource.patch

@@ -8,6 +8,5 @@ index 5295d9dd..f71553c9 100644
    CodedInputStream* coded_input = new CodedInputStream(raw_input);
 -  coded_input->SetTotalBytesLimit(kProtoReadBytesLimit, 536870912);
 +  coded_input->SetTotalBytesLimit(kProtoReadBytesLimit);
- 
+
    bool success = proto->ParseFromCodedStream(coded_input);
- 

infra/cmake/packages/H5Tinit.c.linux-armv7l

@@ -26,7 +26,7 @@
  *			architecture.  The parameters below should be
  *			checked carefully and errors reported to the
  *			HDF5 maintainer.
- *			
+ *
  *			Each of the numeric formats listed below are
  *			printed from most significant bit to least
  *			significant bit even though the actual bytes
@@ -36,7 +36,7 @@
  *			memory; little-endian machines have
  *			decreasing numbers while big-endian machines
  *			have increasing numbers.
- *			
+ *
  *			The fields of the numbers are printed as
  *			letters with `S' for the mantissa sign bit,
  *			`M' for the mantissa magnitude, and `E' for
@@ -48,7 +48,7 @@
  *			of these categories is printed as a question
  *			mark.  Bits of integer types are printed as
  *			`I' for 2's complement and `U' for magnitude.
- *			
+ *
  *			If the most significant bit of the normalized
  *			mantissa (always a `1' except for `0.0') is
  *			not stored then an `implicit=yes' appears
@@ -123,7 +123,7 @@
 /*******************/
 
 
-
+
 /*-------------------------------------------------------------------------
  * Function:	H5TN_init_interface
  *

infra/cmake/packages/HDF5Source.patch

@@ -52,9 +52,9 @@ diff -r -u a/config/cmake/ConfigureChecks.cmake b/config/cmake/ConfigureChecks.c
 +endif(NOT CMAKE_CROSSCOMPILING)
  # ----------------------------------------------------------------------
  # Set the flag to indicate that the machine is using a special algorithm
- # to convert some values of '(unsigned) long' to 'long double' values.  
+ # to convert some values of '(unsigned) long' to 'long double' values.
 @@ -230,7 +240,12 @@
- # ..., 7fffff..., the compiler uses a unknown algorithm.  We define a 
+ # ..., 7fffff..., the compiler uses a unknown algorithm.  We define a
  # macro and skip the test for now until we know about the algorithm.
  #
 +if(NOT CMAKE_CROSSCOMPILING)
@@ -98,7 +98,7 @@ diff -r -u a/config/cmake/ConfigureChecks.cmake b/config/cmake/ConfigureChecks.c
 +  set(H5_NO_ALIGNMENT_RESTRICTIONS_RUN 0)
 +  set(H5_NO_ALIGNMENT_RESTRICTIONS_COMPILE TRUE)
 +endif(NOT CMAKE_CROSSCOMPILING)
- 
+
  # -----------------------------------------------------------------------
  # wrapper script variables
 diff -r -u a/config/cmake_ext_mod/ConfigureChecks.cmake b/config/cmake_ext_mod/ConfigureChecks.cmake
@@ -160,7 +160,7 @@ diff -r -u a/config/cmake_ext_mod/ConfigureChecks.cmake b/config/cmake_ext_mod/C
 +    set (${HDF_PREFIX}_PRINTF_LL "L")
 +    set (PRINT_LL_FOUND 1)
 +  endif(NOT CMAKE_CROSSCOMPILING)
- 
+
    if (PRINT_LL_FOUND)
      message (STATUS "Checking for appropriate format for 64 bit long: found ${${HDF_PREFIX}_PRINTF_LL_WIDTH}")
 diff -r -u a/src/CMakeLists.txt b/src/CMakeLists.txt
@@ -169,7 +169,7 @@ diff -r -u a/src/CMakeLists.txt b/src/CMakeLists.txt
 @@ -616,6 +616,7 @@
    target_link_libraries (H5detect "ws2_32.lib")
  endif (MSVC OR MINGW)
- 
+
 +if (NOT CMAKE_CROSSCOMPILING)
  set (CMD $<TARGET_FILE:H5detect>)
  add_custom_command (
@@ -179,12 +179,12 @@ diff -r -u a/src/CMakeLists.txt b/src/CMakeLists.txt
      DEPENDS H5detect
  )
 +endif (NOT CMAKE_CROSSCOMPILING)
- 
+
  add_executable (H5make_libsettings ${HDF5_SRC_DIR}/H5make_libsettings.c)
  TARGET_C_PROPERTIES (H5make_libsettings STATIC " " " ")
 @@ -631,6 +633,10 @@
  endif (MSVC OR MINGW)
- 
+
  set (CMD $<TARGET_FILE:H5make_libsettings>)
 +# for cross compile
 +if (DEFINED ENV{EXTERNAL_H5MAKE_LIBSETTINGS})

infra/cmake/packages/LLVMConfig.cmake

@@ -23,20 +23,20 @@ function(_LLVM_import)
     # get llvm link options
     execute_process(COMMAND ${llvm_config} --ldflags OUTPUT_VARIABLE
                     LLVM_LINKFLAGS OUTPUT_STRIP_TRAILING_WHITESPACE)
-    execute_process(COMMAND ${llvm_config} --system-libs 
+    execute_process(COMMAND ${llvm_config} --system-libs
                     OUTPUT_VARIABLE LLVM_LINKSYSLIBS OUTPUT_STRIP_TRAILING_WHITESPACE)
     execute_process(COMMAND ${llvm_config} --libs core mcjit native
                     OUTPUT_VARIABLE LLVM_LINKLIBS OUTPUT_STRIP_TRAILING_WHITESPACE)
-                    
+
     add_library(llvm INTERFACE)
-    
+
     foreach(ONE_CPPFLAG ${LLVM_CPPFLAGS})
       target_compile_options(llvm INTERFACE ${ONE_CPPFLAG})
     endforeach()
     target_link_libraries(llvm INTERFACE ${LLVM_LINKFLAGS})
     target_link_libraries(llvm INTERFACE ${LLVM_LINKLIBS})
     target_link_libraries(llvm INTERFACE ${LLVM_LINKSYSLIBS})
-  
+
   endif(NOT TARGET llvm)
 
   set(LLVM_FOUND TRUE PARENT_SCOPE)

infra/debian/compiler/changelog

@@ -1,20 +1,20 @@
 one (1.30.0) focal jammy noble; urgency=medium
 
-  * Support more optimization option(s): `--dynamic_batch_to_single_batch`, 
+  * Support more optimization option(s): `--dynamic_batch_to_single_batch`,
     `--fuse_rmsnorm`, `--fuse_rope`, `--fuse_rsqrt`.
-  * Introduce _one-import-pytorch_ for direct PyTorch import that converts 
+  * Introduce _one-import-pytorch_ for direct PyTorch import that converts
     PyTorch modules straight to Circle.
   * Support MX (microscaling) data type.
-  * Introduce _circle-mlir_ that converts new ops (e.g., ConvTranspose2D, 
-    DepthwiseConv2D, ArgMax, Reduce*, Resize, Pooling, GELU, Sigmoid, Softmax, 
+  * Introduce _circle-mlir_ that converts new ops (e.g., ConvTranspose2D,
+    DepthwiseConv2D, ArgMax, Reduce*, Resize, Pooling, GELU, Sigmoid, Softmax,
     Slice/StridedSlice, Select, Gather, BatchMatMul) and validates shape inference.
-  * ONNX is converted from new _circle-mlir/onnx2circle_ tool (onnx-tf tool 
+  * ONNX is converted from new _circle-mlir/onnx2circle_ tool (onnx-tf tool
     is deprecated)
-  * _luci-interpreter_ handles scalar indices in Gather and additional element 
+  * _luci-interpreter_ handles scalar indices in Gather and additional element
     types across several kernels.
-  * Ubuntu22.04 with python3.10 is official supported platform, python3.10 is 
+  * Ubuntu22.04 with python3.10 is official supported platform, python3.10 is
     necessary for Ubuntu20.04 and Ubuntu24.04 with python3.12 is experimentally supported.
-  * Python packages are upgraded to TensorFlow 2.19.0, ONNX 1.18.0, 
+  * Python packages are upgraded to TensorFlow 2.19.0, ONNX 1.18.0,
     ONNXRuntime 1.21.1, Torch 2.7.0.
 
  -- seongwoo <mhs4670go@naver.com>  Tue, 01 Jul 2025 13:51:37 +0900

infra/packaging/preset/20200616_windows

@@ -54,7 +54,7 @@ function preset_install()
   install -T -m 755 -D "${SCRIPT_PATH}/res/tf2nnpkg.${PRESET}" "${NNAS_INSTALL_PREFIX}/bin/tf2nnpkg"
 
   # Though you have to install tensorflow to run 'tf2tfliteV2',
-  # tensorflow can't be installed in mingw. First, You can install tensorflow 
+  # tensorflow can't be installed in mingw. First, You can install tensorflow
   # from Window native CMD(run as administrator) with python virtual environment.
   # And, you must copy it to "${NNAS_INSTALL_PREFIX}/bin/venv"
 }

infra/packaging/preset/20200731_windows

@@ -59,7 +59,7 @@ function preset_install()
   install -T -m 755 -D "${SCRIPT_PATH}/res/tf2nnpkg.20200630" "${NNAS_INSTALL_PREFIX}/bin/tf2nnpkg"
 
   # Though you have to install tensorflow to run 'tf2tfliteV2',
-  # tensorflow can't be installed in mingw. First, You can install tensorflow 
+  # tensorflow can't be installed in mingw. First, You can install tensorflow
   # from Window native CMD(run as administrator) with python virtual environment.
   # And, you must copy it to "${NNAS_INSTALL_PREFIX}/bin/venv"
 }

infra/packaging/preset/20210406_windows

@@ -61,7 +61,7 @@ function preset_install()
   install -T -m 755 -D "${SCRIPT_PATH}/res/tf2nnpkg.20210406" "${NNAS_INSTALL_PREFIX}/bin/tf2nnpkg"
 
   # Though you have to install tensorflow to run 'tf2tfliteV2',
-  # tensorflow can't be installed in mingw. First, You can install tensorflow 
+  # tensorflow can't be installed in mingw. First, You can install tensorflow
   # from Window native CMD(run as administrator) with python virtual environment.
   # And, you must copy it to "${NNAS_INSTALL_PREFIX}/bin/venv"
 }

infra/packaging/preset/20210706_windows

@@ -61,7 +61,7 @@ function preset_install()
   install -T -m 755 -D "${SCRIPT_PATH}/res/tf2nnpkg.20210706" "${NNAS_INSTALL_PREFIX}/bin/tf2nnpkg"
 
   # Though you have to install tensorflow to run 'tf2tfliteV2',
-  # tensorflow can't be installed in mingw. First, You can install tensorflow 
+  # tensorflow can't be installed in mingw. First, You can install tensorflow
   # from Window native CMD(run as administrator) with python virtual environment.
   # And, you must copy it to "${NNAS_INSTALL_PREFIX}/bin/venv"
 }

infra/packaging/preset/20210910_windows

@@ -61,7 +61,7 @@ function preset_install()
   install -T -m 755 -D "${SCRIPT_PATH}/res/tf2nnpkg.20210910" "${NNAS_INSTALL_PREFIX}/bin/tf2nnpkg"
 
   # Though you have to install tensorflow to run 'tf2tfliteV2',
-  # tensorflow can't be installed in mingw. First, You can install tensorflow 
+  # tensorflow can't be installed in mingw. First, You can install tensorflow
   # from Window native CMD(run as administrator) with python virtual environment.
   # And, you must copy it to "${NNAS_INSTALL_PREFIX}/bin/venv"
 }