message: [tfdbg2] Doc: add to list of supported tensor_debug_modes
diff: @@ -734,9 +734,20 @@ def enable_dump_debug_info(dump_root,
  dump_root: The directory path where the dumping information will be written.
  tensor_debug_mode: Debug mode for tensor values, as a string.
  The currently supported options are:
  - - "NO_TENSOR": (Default) Only traces the execution of ops' output
  - tensors, while not dumping the value of the ops' output tensors
  - or any form of concise summary of them.
  + - "NO_TENSOR": (Default) Only traces the output tensors of all executed
  + ops (including those executed eagerly at the Python level or as a part
  + of a TensorFlow graph) and functions, while not extracting any
  + information from the values of the tensors.
  + - "CURT_HEALTH": For each floating-dtype tensor (e.g., tensors of dtypes
  + such as `float32`, `float64` and `bfloat16`), extracts a binary bit
  + indicating whether it contains any -infinity, +infinity or NaN.
  + - "CONCISE_HEALTH": For each floating-dtype tensor, extract total
  + element count, and counts of -infinity, +infinity and NaN elements.
  + - "FULL_HEALTH": For each floating-dtype tensor, extracts the dtype,
  + rank (number of dimensions), total element count, and counts of
  + -infinity, +infinity and NaN elements.
  + - "SHAPE": For each tensor (regardless of dtype), extracts its dtype,
  + rank, total element count and shape.
  circular_buffer_size: Size of the circular buffers for execution events.
  These circular buffers are designed to reduce the overhead of debugging
  dumping. They hold the most recent debug events concerning eager execution
  