def log_histogram(
self, name, values, bins, max_bins=None, step=None, timestamp=None
):
event_value = events_processors.histogram(
values=values, bins=bins, max_bins=max_bins
)
if event_value == UNKNOWN:
return
logged_event = LoggedEventSpec(
name=name,
kind=V1ArtifactKind.HISTOGRAM,
event=V1Event(timestamp=timestamp, step=step, histogram=event_value),
)
self._event_logger.add_event(logged_event)
def log_histogram(self,
name,
values,
bins,
max_bins=None,
step=None,
timestamp=None):
"""Logs a histogram.
```python
>>> log_histogram(name="histo", values=np.arange(np.prod((1024,)), dtype=float).reshape((1024,)), bins="auto", step=1) # noqa
```
Args:
name: str, name
values: np.array
bins: int or str
max_bins: int, optional
step: int, optional
timestamp: datetime, optional
"""
self._log_has_events()
event_value = events_processors.histogram(values=values,
bins=bins,
max_bins=max_bins)
if event_value == UNKNOWN:
return
logged_event = LoggedEventSpec(
name=name,
kind=V1ArtifactKind.HISTOGRAM,
event=V1Event.make(timestamp=timestamp,
step=step,
histogram=event_value),
)
self._event_logger.add_event(logged_event)
def test_empty_input(self):
print("expect error here:")
with pytest.raises(Exception):
histogram("dummy", np.ndarray(0), "tensorflow")
def test_list_input(self):
with pytest.raises(Exception):
histogram("dummy", [1, 3, 4, 5, 6], "tensorflow")
def test_histogram_doane(self):
event = histogram(tensor_np(shape=(1024, )), bins="doane", max_bins=5)
assert event.values is not None
assert event.counts is not None
def test_histogram_auto(self):
event = histogram(values=tensor_np(shape=(1024, )),
bins="auto",
max_bins=5)
assert event.values is not None
assert event.counts is not None