class_docstr: Analyzer for debug data from dump directories.
class_docstr_tok: ["Analyzer","for","debug","data","from","dump","directories","."]
docstr: List dumped tensor data from a node.
  
  Args:
    node_name: Name of the node of which the attributes are to be listed.
  
  Returns:
    A RichTextLines object.
docstr_tok: ["List","dumped","tensor","data","from","a","node",".","Args",":","node_name",":","Name","of","the","node","of","which","the","attributes","are","to","be","listed",".","Returns",":","A","RichTextLines","object","."]
code: def _list_node_dumps(self, node_name):
      """List dumped tensor data from a node.
  
      Args:
        node_name: Name of the node of which the attributes are to be listed.
  
      Returns:
        A RichTextLines object.
      """
  
      lines = []
      font_attr_segs = {}
  
      watch_keys = self._debug_dump.debug_watch_keys(node_name)
  
      dump_count = 0
      for watch_key in watch_keys:
          debug_tensor_data = self._debug_dump.watch_key_to_data(
              watch_key
          )
          for datum in debug_tensor_data:
              line = "  Slot %d @ %s @ %.3f ms" % (
                  datum.output_slot,
                  datum.debug_op,
                  (datum.timestamp - self._debug_dump.t0) / 1000.0,
              )
              lines.append(line)
              command = "pt %s:%d -n %d" % (
                  node_name,
                  datum.output_slot,
                  dump_count,
              )
              font_attr_segs[len(lines) - 1] = [
                  (
                      2,
                      len(line),
                      debugger_cli_common.MenuItem(None, command),
                  )
              ]
              dump_count += 1
  
      output = debugger_cli_common.RichTextLines(
          lines, font_attr_segs=font_attr_segs
      )
      output_with_header = debugger_cli_common.RichTextLines(
          ["%d dumped tensor(s):" % dump_count, ""]
      )
      output_with_header.extend(output)
      return output_with_header
  
imports: import argparse
  import copy
  import re
  from tensorflow.python.debug.cli import cli_config
  from tensorflow.python.debug.cli import cli_shared
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import evaluator
  from tensorflow.python.debug.cli import ui_factory
  from tensorflow.python.debug.lib import debug_graphs
  from tensorflow.python.debug.lib import source_utils
label_desc: Use image node_id 25 for calling the DebugAnalyzer obj's underlying member method code with example usage: obj._list_node_dumps(node_name) and returns: output_with_header