class_docstr: Tests for DebugIdentityV2Op: when DebugEventsWriter is not initialized.
  
  This case can occur when DebugIdentityV2Ops are running on a remote
  TensorFlow server (e.g., a TPU worker).
class_docstr_tok: ["Tests","for","DebugIdentityV2Op",":","when","DebugEventsWriter","is","not","initialized",".","This","case","can","occur","when","DebugIdentityV2Ops","are","running","on","a","remote","TensorFlow","server","(","e.g.",",","a","TPU","worker",")","."]
code: def testInvokingDebugIdentityV2OpBeforeCreatingDebugEventsWriterWorks(
      self,
  ):
      circular_buffer_size = 3
  
      @def_function.function
      def write_debug_trace(x):
          # DebugIdentityV2 is a stateful op. It ought to be included by auto
          # control dependency.
          square = math_ops.square(x)
          gen_debug_ops.debug_identity_v2(
              square,
              tfdbg_context_id="deadbeaf",
              op_name="Square",
              output_slot=0,
              tensor_debug_mode=debug_event_pb2.TensorDebugMode.FULL_TENSOR,
              debug_urls=["file://%s" % self.dump_root],
              circular_buffer_size=circular_buffer_size,
          )
          return square
  
      # The DebugIdentityV2 ops are invokes *before* a DebugEventsWriter at the
      # same dump root is created.
      for i in range(circular_buffer_size * 2):
          self.assertAllClose(
              write_debug_trace(np.array([i]).astype(np.float32)),
              [i**2.0],
          )
      writer = debug_events_writer.DebugEventsWriter(
          self.dump_root, "test_tfdbg_run", circular_buffer_size
      )
      writer.FlushNonExecutionFiles()
      writer.FlushExecutionFiles()
  
      with debug_events_reader.DebugEventsReader(
          self.dump_root
      ) as reader:
          graph_trace_iter = reader.graph_execution_traces_iterators()[
              0
          ]
          graph_execution_traces = []
          while True:
              try:
                  graph_execution_traces.append(
                      next(
                          graph_trace_iter
                      ).debug_event.graph_execution_trace
                  )
              except StopIteration:
                  break
          self.assertLen(graph_execution_traces, circular_buffer_size)
          for i in range(circular_buffer_size):
              self.assertAllClose(
                  tensor_util.MakeNdarray(
                      graph_execution_traces[i].tensor_proto
                  ),
                  [(i + circular_buffer_size) ** 2.0],
              )
  
imports: import os
  import numpy
  from tensorflow.core.protobuf import debug_event_pb2
  from tensorflow.python.debug.lib import debug_events_reader
  from tensorflow.python.debug.lib import debug_events_writer
  from tensorflow.python.debug.lib import dumping_callback_test_lib
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_debug_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the DebugIdentityV2OpUninitializedWriterTest obj's underlying member method code with example usage: obj.testInvokingDebugIdentityV2OpBeforeCreatingDebugEventsWriterWorks() and returns: square