If use_fingerprint_subdirectory is provided, then the TensorTracer summaries will be written under <trace_dir>/<fingerprint>. If there are changes to the graph, the changes will be listed under different fingerprints. PiperOrigin-RevId: 311834837 Change-Id: I9dfbabfeb7fbe58a2a47c2581474ed86647781dc
79 lines
2.8 KiB
Protocol Buffer
79 lines
2.8 KiB
Protocol Buffer
syntax = "proto3";
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package tensorflow;
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import "tensorflow/core/framework/graph.proto";
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// Tensor Tracer Report proto gives information about the trace including:
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// - TensorTracerConfig: version, device, num replicas, trace mode.
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// - Graphdef, e.g., list of operations, tensors
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// - TracedTensorDef:
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// * Name of the tensor
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// * Tracepoint name if provided.
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// * Index of the tensor in the compact cache if traced.
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// * Explanation for why the tensor is traced or not.
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message TensorTracerReport {
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TensorTracerConfig config = 1;
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// Tensorflow graph.
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tensorflow.GraphDef graphdef = 2;
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// A map from tensor name to its TracedTensorDef.
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map<string, TracedTensorDef> tensordef = 3;
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// The fingerprint of the TensorTracerReport (fingerprint calculation excludes
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// this field and graphdef).
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string fingerprint = 4;
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message TensorTracerConfig {
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// Tensor tracer version, e.g. hostcall, outside compilation.
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string version = 1;
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// Traced device, CPU, TPU...
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string device = 2;
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// Trace mode, norm, summary, full-trace.
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string trace_mode = 3;
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// Number of cores, e.g. TPU cores, in the system.
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int32 num_cores = 4;
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// Number of hosts, e.g. compute nodes in the system.
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int32 num_hosts = 5;
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// Keep submode as string for backward compatibility.
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string submode = 6;
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// Keep num cores per host for backward compatibility.
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int32 num_cores_per_host = 7;
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// Id of the included cores, if a subset of cores are traced.
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repeated int32 included_cores = 8;
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// The names of the signatures corresponding to the cache indices.
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repeated string signatures = 9;
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}
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message TracedTensorDef {
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// Name of the tensor as appears in tf graph.
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string name = 1;
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// Cache index of the tensor. This may be different than topological index.
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int32 cache_index = 2;
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// If trace points are provided, corresponding tracepoint name of the
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// tensor. Trace points are placed on the edges (tensors) in the tensorflow
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// graph, and they force tensor tracer to trace the corresponding tensor.
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// Tracepoints can be added using the programatic interface
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// tensor_tracer.tensor_tracepoint(tensor, trace_point_name) function.
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// This will add a trace point with the given trace_point_name for the given
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// tensor. If a trace_point is provided for the tensor,
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// trace_point name will be used for the rest of the analysis instead of
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// tensor names. One can use trace_point_name's to compare two models with
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// arbitrary tensor names by providing the same trace point name for the
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// tensors that are comparable.
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string trace_point_name = 3;
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// Whether the tensor is traced or not.
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bool is_traced = 4;
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// Detailed explanation why the tensor is traced or not.
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string explanation = 5;
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}
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}
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