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hub / github.com/DeepRec-AI/DeepRec / ToString

Method ToString

tensorflow/core/lib/histogram/histogram.cc:170–199  ·  view source on GitHub ↗

Source from the content-addressed store, hash-verified

168}
169
170std::string Histogram::ToString() const {
171 std::string r;
172 char buf[200];
173 snprintf(buf, sizeof(buf), "Count: %.0f Average: %.4f StdDev: %.2f\n", num_,
174 Average(), StandardDeviation());
175 r.append(buf);
176 snprintf(buf, sizeof(buf), "Min: %.4f Median: %.4f Max: %.4f\n",
177 (num_ == 0.0 ? 0.0 : min_), Median(), max_);
178 r.append(buf);
179 r.append("------------------------------------------------------\n");
180 const double mult = num_ > 0 ? 100.0 / num_ : 0.0;
181 double sum = 0;
182 for (size_t b = 0; b < buckets_.size(); b++) {
183 if (buckets_[b] <= 0.0) continue;
184 sum += buckets_[b];
185 snprintf(buf, sizeof(buf), "[ %10.2g, %10.2g ) %7.0f %7.3f%% %7.3f%% ",
186 ((b == 0) ? -DBL_MAX : bucket_limits_[b - 1]), // left
187 bucket_limits_[b], // right
188 buckets_[b], // count
189 mult * buckets_[b], // percentage
190 mult * sum); // cum percentage
191 r.append(buf);
192
193 // Add hash marks based on percentage; 20 marks for 100%.
194 int marks = static_cast<int>(20 * (buckets_[b] / num_) + 0.5);
195 r.append(marks, '#');
196 r.push_back('\n');
197 }
198 return r;
199}
200
201void Histogram::EncodeToProto(HistogramProto* proto,
202 bool preserve_zero_buckets) const {

Callers 2

ValidateFunction · 0.45
TESTFunction · 0.45

Calls 5

AverageClass · 0.85
MedianFunction · 0.50
appendMethod · 0.45
sizeMethod · 0.45
push_backMethod · 0.45

Tested by 2

ValidateFunction · 0.36
TESTFunction · 0.36