tf.raw_ops.DebugIdentityV2

Debug Identity V2 Op.

tf.raw_ops.DebugIdentityV2(
    input, tfdbg_context_id='', op_name='', output_slot=-1, tensor_debug_mode=-1,
    debug_urls=[], name=None
)

Provides an identity mapping from input to output, while writing the content of the input tensor by calling DebugEventsWriter.

The semantics of the input tensor depends on tensor_debug_mode. In typical usage, the input tensor comes directly from the user computation only when graph_debug_mode is FULL_TENSOR (see protobuf/debug_event.proto for a list of all the possible values of graph_debug_mode). For the other debug modes, the input tensor should be produced by an additional op or subgraph that computes summary information about one or more tensors.

Args:

  • input: A Tensor. Input tensor, non-Reference type
  • tfdbg_context_id: An optional string. Defaults to "". A tfdbg-generated ID for the context that the op belongs to, e.g., a concrete compiled tf.function.
  • op_name: An optional string. Defaults to "". Optional. Name of the op that the debug op is concerned with. Used only for single-tensor trace.
  • output_slot: An optional int. Defaults to -1. Optional. Output slot index of the tensor that the debug op is concerned with. Used only for single-tensor trace.
  • tensor_debug_mode: An optional int. Defaults to -1. TensorDebugMode enum value. See debug_event.proto for details.
  • debug_urls: An optional list of strings. Defaults to []. List of URLs to debug targets, e.g., file:///foo/tfdbg_dump.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as input.