32 virtual void log_scalar(
const std::string& tag,
double value,
int step) = 0;
46 void log_scalar(
const std::string&,
double,
int)
override {}
Interface the training loop logs scalars/histograms through. Concrete writers (TensorBoard event form...
Definition metrics_sink.hpp:22
virtual void log_scalar(const std::string &tag, double value, int step)=0
Logs a scalar value (e.g. loss, accuracy).
virtual void log_histogram(const std::string &tag, const Tensor &values, int step)=0
Logs a distribution of values (e.g. a weight tensor's values).
virtual ~MetricsSink()=default
Does nothing. The charter's stated minimum viable MetricsSink implementation.
Definition metrics_sink.hpp:44
void log_scalar(const std::string &, double, int) override
Logs a scalar value (e.g. loss, accuracy).
Definition metrics_sink.hpp:46
void log_histogram(const std::string &, const Tensor &, int) override
Logs a distribution of values (e.g. a weight tensor's values).
Definition metrics_sink.hpp:47
N-dimensional tensor. Owns its data buffer exclusively; a DeviceBackend* is injected (not owned) – th...
Definition tensor.hpp:29
Definition acquisition_functions.hpp:16
N-dimensional tensor – owns a buffer via DeviceBackend*, RAII (Rule of Five).