NFC - minor spelling tweaks under lite/micro directory

tensorflow/lite/micro/examples/magic_wand/train/data_load.py

@@ -64,7 +64,7 @@ def get_data_file(self, data_path, data_type):
     return data, label, length
 
   def pad(self, data, seq_length, dim):
-    """Get neighboor padding."""
+    """Get neighbour padding."""
     noise_level = 20
     padded_data = []
     # Before- Neighbour padding

tensorflow/lite/micro/examples/micro_speech/nxp_k66f/audio_provider.cc

@@ -254,7 +254,7 @@ void Da7212Initialize(void) {
   }
 }
 
-// Initalization for receiving audio data
+// Initialization for receiving audio data
 TfLiteStatus InitAudioRecording(tflite::ErrorReporter *error_reporter) {
   edma_config_t dma_config = {0};
   sai_config_t sai_config;

tensorflow/lite/micro/examples/person_detection/himax_driver/HM01B0.c

@@ -94,7 +94,7 @@ static uint32_t hm01b0_write_reg(hm01b0_cfg_t* psCfg, uint16_t ui16Reg,
   Transaction.ui32StatusSetClr = 0;
 
   //
-  // Execute the transction over IOM.
+  // Execute the transaction over IOM.
   //
   if (am_hal_iom_blocking_transfer(psCfg->pIOMHandle, &Transaction)) {
     return HM01B0_ERR_I2C;
@@ -138,7 +138,7 @@ static uint32_t hm01b0_read_reg(hm01b0_cfg_t* psCfg, uint16_t ui16Reg,
   Transaction.ui32StatusSetClr = 0;
 
   //
-  // Execute the transction over IOM.
+  // Execute the transaction over IOM.
   //
   if (am_hal_iom_blocking_transfer(psCfg->pIOMHandle, &Transaction)) {
     return HM01B0_ERR_I2C;
@@ -468,7 +468,7 @@ uint32_t hm01b0_get_modelid(hm01b0_cfg_t* psCfg, uint16_t* pui16MID) {
 //! @param ui32ScriptCmdNum     - No. of commands in HM01B0 initialization
 //! script.
 //!
-//! This function initilizes HM01B0 with a given script.
+//! This function initializes HM01B0 with a given script.
 //!
 //! @return Error code.
 //

tensorflow/lite/micro/examples/person_detection/himax_driver/HM01B0.h

@@ -265,7 +265,7 @@ uint32_t hm01b0_get_modelid(hm01b0_cfg_t *psCfg, uint16_t *pui16MID);
 //! @param ui32ScriptCmdNum     - No. of commands in HM01B0 initialization
 //! script.
 //!
-//! This function initilizes HM01B0 with a given script.
+//! This function initializes HM01B0 with a given script.
 //!
 //! @return Error code.
 //

tensorflow/lite/micro/kernels/cmsis-nn/pooling.cc

@@ -227,7 +227,7 @@ TfLiteStatus AverageEval(TfLiteContext* context, TfLiteNode* node) {
 
   TF_LITE_ENSURE_STATUS(CalculateOpData(context, params, input, output, &data));
 
-  // Inputs and outputs share the same type, guarenteed by the converter.
+  // Inputs and outputs share the same type, guaranteed by the converter.
   switch (input->type) {
     case kTfLiteFloat32:
       AverageEvalFloat(context, node, params, &data, input, output);

tensorflow/lite/micro/kernels/split.cc

@@ -74,7 +74,7 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
   const TfLiteTensor* input = GetInput(context, node, 1);
 
   // Dynamic output tensors are needed if axis tensor is not constant.
-  // But Micro doesn't support dynamic memeory allocation, so we only support
+  // But Micro doesn't support dynamic memory allocation, so we only support
   // constant axis tensor for now.
   TF_LITE_ENSURE_MSG(context, IsConstantTensor(axis),
                      "Non constant axis tensor not supported");

tensorflow/lite/micro/memory_planner/memory_planner.h

@@ -57,7 +57,7 @@ class MemoryPlanner {
                                  int size, int first_time_used,
                                  int last_time_used) = 0;
 
-  // The largest contguous block of memory that's needed to hold the layout.
+  // The largest contiguous block of memory that's needed to hold the layout.
   virtual size_t GetMaximumMemorySize() = 0;
   // How many buffers have been added to the planner.
   virtual int GetBufferCount() = 0;

tensorflow/lite/micro/micro_utils.h

@@ -49,7 +49,7 @@ int32_t FloatToSymmetricQuantizedInt32(const float value, const float scale);
 // uint8 |     X    |    X    |            |
 // int32 |          |    X    |     X      |
 //
-// The per-op quantizaiton spec can be found here:
+// The per-op quantization spec can be found here:
 // https://www.tensorflow.org/lite/performance/quantization_spec
 
 void AsymmetricQuantize(const float* input, int8_t* output, int num_elements,

tensorflow/lite/micro/riscv32_mcu/debug_log.cc

@@ -9,7 +9,7 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
 ==============================================================================*/
-// TODO(b/121324430): Add test for DebugLog fuctions
+// TODO(b/121324430): Add test for DebugLog functions
 // TODO(b/121275099): Remove dependency on debug_log once the platform supports
 // printf
 

tensorflow/lite/micro/simple_memory_allocator.h

@@ -56,7 +56,7 @@ class SimpleMemoryAllocator {
   size_t data_size_max_;
   uint8_t* data_;
   SimpleMemoryAllocator* parent_allocator_ = nullptr;
-  // The allocator is locaked if it has a child.
+  // The allocator is locked if it has a child.
   bool has_child_allocator_ = false;
 };
 

tensorflow/lite/micro/tools/ci_build/test_all.sh

@@ -28,7 +28,7 @@ make -f tensorflow/lite/micro/tools/make/Makefile \
   clean clean_downloads
 
 # Add all the test scripts for the various supported platforms here. This
-# emables running all the tests together has part of the continuous integration
+# enables running all the tests together has part of the continuous integration
 # pipeline and reduces duplication associated with setting up the docker
 # environment.
 

tensorflow/lite/micro/tools/make/targets/ecm3531/_main.c

@@ -15,7 +15,7 @@ limitations under the License.
 
 /* This is file contains the entry point to the application and is called after
    startup.
-   The GPIOs, Uart and timer are intialized and Tensorflow is invoked with the
+   The GPIOs, Uart and timer are initialized and Tensorflow is invoked with the
    call to main().
    Tensorflow will print out if the tests have passed or failed and the
    execution time is also

tensorflow/lite/micro/tools/make/transform_arduino_source.py

@@ -54,11 +54,11 @@ def check_ino_functions(input_text):
   # have to have a setup() and loop() function, just like their IDE expects.
   if not re.search(r'void setup\(\) \{', input_text):
     raise Exception(
-        'All examples must have a setup() function for Arduino compatiblity\n' +
-        input_text)
+        'All examples must have a setup() function for Arduino compatibility\n'
+        + input_text)
   if not re.search(r'void loop\(\) \{', input_text):
     raise Exception(
-        'All examples must have a loop() function for Arduino compatiblity')
+        'All examples must have a loop() function for Arduino compatibility')
   return input_text
 
 

tensorflow/lite/micro/tools/make/transform_source.py

@@ -61,11 +61,11 @@ def check_ino_functions(input_text):
   # have to have a setup() and loop() function, just like their IDE expects.
   if not re.search(r'void setup\(\) \{', input_text):
     raise Exception(
-        'All examples must have a setup() function for Arduino compatiblity\n' +
-        input_text)
+        'All examples must have a setup() function for Arduino compatibility\n'
+        + input_text)
   if not re.search(r'void loop\(\) \{', input_text):
     raise Exception(
-        'All examples must have a loop() function for Arduino compatiblity')
+        'All examples must have a loop() function for Arduino compatibility')
   return input_text
 
 
@@ -75,7 +75,7 @@ def add_example_ino_library_include(input_text):
                 input_text, 1)
 
 
-def replace_ardunio_example_includes(line, _):
+def replace_arduino_example_includes(line, _):
   """Updates any includes for local example files."""
   # Because the export process moves the example source and header files out of
   # their default locations into the top-level 'examples' folder in the Arduino
@@ -122,7 +122,7 @@ def transform_arduino_sources(input_lines, flags):
   for line in input_lines:
     line = replace_arduino_includes(line, supplied_headers_list)
     if flags.is_example_ino or flags.is_example_source:
-      line = replace_ardunio_example_includes(line, flags.source_path)
+      line = replace_arduino_example_includes(line, flags.source_path)
     else:
       line = replace_arduino_main(line)
     output_lines.append(line)