message: Corrected names of files and functions in the document for the operator versions.
diff: @@ -62,12 +62,13 @@ table Conv2DOptions {
  dilation_height_factor:int = 1;
  }
  ```
  +The file `lite/schema/schema_generated.h` should be re-generated for the new schema.
  ### Change C Structures and Kernel Implementation
  In TensorFlow Lite, the kernel implementation is decoupled from
  FlatBuffer definition. The kernels read the parameter from C structures defined
  -in `lite/builtin_op_data.h`.
  +in `lite/c/builtin_op_data.h`.
  The original convolution parameter is as follows:
  @@ -102,7 +103,7 @@ from the C structures. The details are omitted here.
  ### Change the FlatBuffer Reading Code
  -The logic to read FlatBuffer and produce C structure is in `lite/model.cc`.
  +The logic to read FlatBuffer and produce C structure is in `lite/core/api/flatbuffer_conversions.cc`.
  Update the file to handle the new parameters, as shown below:
  @@ -162,7 +163,7 @@ execute the op. In this example, it means:
  * Populate version=1 when dilation factors are all 1.
  * Populate version=2 otherwise.
  -To do this, you need to override `GetVersion` function for the operator class in
  +To do this, you need to override `GetBuiltinOperatorVersion` function for the operator class in
  `lite/tools/versioning/op_version.cc`.
  For ops with only one version, the `GetVersion` function is defined as:
  @@ -192,7 +193,7 @@ step is required because we need generate the model's minimum required runtime
  version based on this version map.
  To do this, you need to add a new map entry in
  -`lite/tools/versioning/op_version.cc`.
  +`lite/toco/tflite/op_version.cc`.
  In this example, it means you need to add the following into `op_version_map`:
  ```
  