[lite/micro] fix various typos.

tensorflow/lite/experimental/micro/README.md

@@ -615,7 +615,7 @@ As mentioned above, the one function you will need to implement for a completely
 new platform is debug logging. If your device is just a variation on an existing
 platform you may be able to reuse code that's already been written. To
 understand what's available, begin with the default reference implementation at
-[tensorflow/lite/experimental/micro/debug_log.cc](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/micro/debug_log.cc]),
+[tensorflow/lite/experimental/micro/debug_log.cc](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/experimental/micro/debug_log.cc),
 which uses fprintf and stderr. If your platform has this level of support for
 the C standard library in its toolchain, then you can just reuse this.
 Otherwise, you'll need to do some research into how your platform and device can

tensorflow/lite/experimental/micro/examples/micro_speech/CMSIS/README.md

@@ -5,7 +5,7 @@
 *   **hanning.cc**: Precomputed
     [Hann window](https://en.wikipedia.org/wiki/Hann_function) for use in the
     preprocessor. This file is created in ../create_constants.py
-*   **hanning.h**: Header file fro hanning.cc
+*   **hanning.h**: Header file for hanning.cc
 *   **preprocessor.cc**: CMSIS version of the preprocessor
 *   **sin_1k.cc**: A 1 kHZ sinusoid used for comparing the CMSIS preprocessor
     with the Micro-Lite fixed_point preprocessor

tensorflow/lite/experimental/micro/examples/micro_speech/CMSIS/create_constants.py

@@ -48,7 +48,7 @@ def to_h(_, varname, directory=''):
   xstr += '#include <cstdint>\n\n'
   xstr += 'extern const int g_{}_size;\n'.format(varname)
   xstr += 'extern const int16_t g_{}[];\n\n'.format(varname)
-  xstr += '#endif'
+  xstr += '#endif  // {}{}_H_'.format(tf_prepend, varname.upper())
 
   with open(directory + varname + '.h', 'w') as f:
     f.write(xstr)

tensorflow/lite/experimental/micro/examples/micro_speech/README.md

@@ -251,7 +251,7 @@ tensorflow/examples/speech_commands:train -- \
 --wanted_words="yes,no" --silence_percentage=25 --unknown_percentage=25 --quantize=1
 ```
 
-After build is over follow the rest of the instrucitons from this tutorial. And
+After build is over follow the rest of the instructions from this tutorial. And
 finally do not forget to remove the instance when training is done:
 
 ```

tensorflow/lite/experimental/micro/tools/make/Makefile

@@ -150,17 +150,13 @@ ARDUINO_PROJECT_FILES := \
 
 ALL_PROJECT_TARGETS :=
 
-KEIL_PROJECT_FILES := \
-  README_KEIL.md \
-  keil_project.uvprojx
-
 include $(MAKEFILE_DIR)/third_party_downloads.inc
 THIRD_PARTY_DOWNLOADS :=
 $(eval $(call add_third_party_download,$(GEMMLOWP_URL),$(GEMMLOWP_MD5),gemmlowp,))
 $(eval $(call add_third_party_download,$(FLATBUFFERS_URL),$(FLATBUFFERS_MD5),flatbuffers,))
 
 # These target-specific makefiles should modify or replace options like
-# CXXFLAGS or LIBS to work for a specific targetted architecture. All logic
+# CXXFLAGS or LIBS to work for a specific targeted architecture. All logic
 # based on platforms or architectures should happen within these files, to
 # keep this main makefile focused on the sources and dependencies.
 include $(wildcard $(MAKEFILE_DIR)/targets/*_makefile.inc)

third_party/flatbuffers/build_defs.bzl

@@ -37,7 +37,7 @@ def flatbuffer_library_public(
       flatc_args: Optional, list of additional arguments to pass to flatc.
       reflection_name: Optional, if set this will generate the flatbuffer
         reflection binaries for the schemas.
-      reflection_visiblity: The visibility of the generated reflection Fileset.
+      reflection_visibility: The visibility of the generated reflection Fileset.
       output_to_bindir: Passed to genrule for output to bin directory.
     """
     include_paths_cmd = ["-I %s" % (s) for s in include_paths]