log_histograms()

Python package: neptune-scale

Logs the specified histograms at a particular step.

Related

• Histograms

Parameters

Name	Type	Description
histograms	dictionary of str, Histogram	A dictionary with attribute paths as keys and histogram objects as values.
step	float or int	Index of the series entry. Using float rather than int values can be useful, for example, when logging substeps in a batch.
timestamp	datetime, optional	Time of logging the histograms at the specified step. If not provided, the current time is used. If provided, and timestamp.tzinfo is not set, the local timezone is used.

Examples

Log a single histogram series per step

from neptune_scale import Run
from neptune_scale.types import Histogram


run = Run(...)

for step in epoch:
    # your training loop

    my_histogram = Histogram(
        bin_edges=[0, 1, 40, 89, 1000],
        counts=[5, 82, 44, 1],
    )

    run.log_histograms(
        histograms={
            "layers/1/activations": my_histogram
        },
        step=1,
    )

Log multiple histogram series per step

for step in epoch:
    # your training loop

    my_histogram_1 = Histogram(
        bin_edges=[0, 1, 2, 3, 4],
        densities=[0.25, 0.25, 0.25, 0.25],
    )
    my_histogram_2 = Histogram(...)
    my_histogram_3 = Histogram(...)

    run.log_histograms(
        histograms={
            "layers/1/activations": my_histogram_1,
            "layers/2/activations": my_histogram_2,
            "layers/3/activations": my_histogram_3,
        },
        step=step,
    )