package tensorflow.tfprof

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• map<string, AdviceProto.Checker> checkers = 1

  checker name -> a list of reports from the checker.

Used in: AdviceProto

• repeated string reports = 2

• map<string, AdvisorOptionsProto.CheckerOption> checkers = 1

  checker name -> a dict of key-value options.

Used in: AdvisorOptionsProto

• map<string, string> options = 1

It specifies the Python callstack that creates an op.

Used in: OpLogEntry

• repeated CodeDef.Trace traces = 1

Used in: CodeDef

• string file = 1

• int32 lineno = 2

• string function = 3

• string line = 4

A node in TensorFlow graph. Used by scope/graph view.

Used in: MultiGraphNodeProto

• string name = 1

  op name.

• optional TFProfTensorProto tensor_value = 15

  tensor value restored from checkpoint.

• int64 run_count = 21

  op execution time. A node can be defined once but run multiple times in tf.while_loop. the times sum up all different runs.

• int64 exec_micros = 2

• int64 accelerator_exec_micros = 17

• int64 cpu_exec_micros = 18

• int64 requested_bytes = 3

  Total requested bytes by the op.

• int64 parameters = 4

  Number of parameters if available.

• int64 float_ops = 13

  Number of float operations.

• repeated string devices = 10

  Device the op is assigned to. Since an op can fire multiple kernel calls, there can be multiple devices.

• int64 total_definition_count = 23

  The following are the aggregated stats from all *accounted* children and the node itself. The actual children depend on the data structure used. In graph view, children are inputs recursively. In scope view, children are nodes under the name scope.

• int64 total_run_count = 22

• int64 total_exec_micros = 6

• int64 total_accelerator_exec_micros = 19

• int64 total_cpu_exec_micros = 20

• int64 total_requested_bytes = 7

• int64 total_parameters = 8

• int64 total_float_ops = 14

• repeated TensorShapeProto shapes = 11

  shape information, if available. TODO(xpan): Why is this repeated?

• map<int32, TensorShapeProto> input_shapes = 16

• repeated GraphNodeProto children = 12

  Descendants of the graph. The actual descendants depend on the data structure used (scope, graph).

A node that groups multiple GraphNodeProto. Depending on the 'view', the semantics of the TFmultiGraphNodeProto is different: code view: A node groups all TensorFlow graph nodes created by the Python code. op view: A node groups all TensorFlow graph nodes that are of type of the op (e.g. MatMul, Conv2D).

• string name = 1

  Name of the node.

• int64 exec_micros = 2

  code execution time.

• int64 accelerator_exec_micros = 12

• int64 cpu_exec_micros = 13

• int64 requested_bytes = 3

  Total requested bytes by the code.

• int64 parameters = 4

  Number of parameters if available.

• int64 float_ops = 5

  Number of float operations.

• int64 total_exec_micros = 6

  The following are the aggregated stats from descendants. The actual descendants depend on the data structure used.

• int64 total_accelerator_exec_micros = 14

• int64 total_cpu_exec_micros = 15

• int64 total_requested_bytes = 7

• int64 total_parameters = 8

• int64 total_float_ops = 9

• repeated GraphNodeProto graph_nodes = 10

  TensorFlow graph nodes contained by the MultiGraphNodeProto.

• repeated MultiGraphNodeProto children = 11

  Descendants of the node. The actual descendants depend on the data structure used.

Used in: OpLogProto

• string name = 1

  op name.

• int64 float_ops = 2

  float_ops is filled by tfprof Python API when called. It requires the op has RegisterStatistics defined. Currently, Conv2D, MatMul, etc, are implemented.

• repeated string types = 3

  User can define extra op type information for an op. This allows the user to select a group of ops precisely using op_type as a key.

• optional CodeDef code_def = 4

  Used to support tfprof "code" view.

• repeated OpLogEntry log_entries = 1

Refers to tfprof_options.h/cc for documentation. Only used to pass tfprof options from Python to C++.

• int64 max_depth = 1

• int64 min_bytes = 2

• int64 min_micros = 3

• int64 min_params = 4

• int64 min_float_ops = 5

• int64 min_occurrence = 17

• int64 step = 18

• string order_by = 7

• repeated string account_type_regexes = 8

• repeated string start_name_regexes = 9

• repeated string trim_name_regexes = 10

• repeated string show_name_regexes = 11

• repeated string hide_name_regexes = 12

• bool account_displayed_op_only = 13

• repeated string select = 14

• string output = 15

• string dump_to_file = 16

Used in: GraphNodeProto

• DataType dtype = 1

• repeated double value_double = 2

  Flatten tensor in row-major. Only one of the following array is set.

• repeated int64 value_int64 = 3

• repeated string value_str = 4