ONE - On-device Neural Engine
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metric.py
Go to the documentation of this file.
1
class
Metric
:
2
"""
3
Abstract base class for all metrics.
4
"""
5
def
reset_state
(self):
6
"""
7
Reset the metric's state.
8
"""
9
raise
NotImplementedError
10
5
def
reset_state
(self):
…
11
def
update_state
(self, outputs, expecteds):
12
"""
13
Update the metric's state based on the outputs and expecteds.
14
Args:
15
outputs (np.ndarray): Model outputs.
16
expecteds (np.ndarray): Expected ground truth values.
17
"""
18
raise
NotImplementedError
19
11
def
update_state
(self, outputs, expecteds):
…
20
def
result
(self):
21
"""
22
Compute and return the final metric value.
23
Returns:
24
float: Metric value.
25
"""
26
raise
NotImplementedError
20
def
result
(self):
…
1
class
Metric
:
…
metrics.metric.Metric
Definition
metric.py:1
metrics.metric.Metric.update_state
update_state(self, outputs, expecteds)
Definition
metric.py:11
metrics.metric.Metric.result
result(self)
Definition
metric.py:20
metrics.metric.Metric.reset_state
reset_state(self)
Definition
metric.py:5
runtime
onert
api
python
package
experimental
train
metrics
metric.py
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