tf.raw_ops.DebugIdentityV2

Debug Identity V2 Op.

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.
circular_buffer_size An optional int. Defaults to 1000.
tfdbg_run_id An optional string. Defaults to "".
name A name for the operation (optional).
Returns
A Tensor. Has the same type as input.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/DebugIdentityV2