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syntax = "proto3";
package tensorflow;
// option cc_enable_arenas = true;
// Serialization format for histogram module in
// core/lib/histogram/histogram.h
message HistogramProto {
double min = 1;
double max = 2;
double num = 3;
double sum = 4;
double sum_squares = 5;
// Parallel arrays encoding the bucket boundaries and the bucket values.
// bucket(i) is the count for the bucket i. The range for
// a bucket is:
// i == 0: -DBL_MAX .. bucket_limit(0)
// i != 0: bucket_limit(i-1) .. bucket_limit(i)
repeated double bucket_limit = 6 [packed = true];
repeated double bucket = 7 [packed = true];
};
// A Summary is a set of named values to be displayed by the
// visualizer.
//
// Summaries are produced regularly during training, as controlled by
// the "summary_interval_secs" attribute of the training operation.
// Summaries are also produced at the end of an evaluation.
message Summary {
message Image {
// Dimensions of the image.
int32 height = 1;
int32 width = 2;
// Valid colorspace values are
// 1 - grayscale
// 2 - grayscale + alpha
// 3 - RGB
// 4 - RGBA
// 5 - DIGITAL_YUV
// 6 - BGRA
int32 colorspace = 3;
// Image data in encoded format. All image formats supported by
// image_codec::CoderUtil can be stored here.
bytes encoded_image_string = 4;
}
message Value {
// Tag name for the data. Will be used as the title of the graph
// in the visualizer.
//
// Tag is usually "op_name:value_name", where "op_name" itself can have
// structure to indicate grouping.
string tag = 1;
// Value associated with the tag.
oneof value {
float simple_value = 2;
bytes obsolete_old_style_histogram = 3;
Image image = 4;
HistogramProto histo = 5;
}
}
// Set of values for the summary.
repeated Value value = 1;
}
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