ONE - On-device Neural Engine
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optimizer.py
Go to the documentation of this file.
1
from
onert.native.libnnfw_api_pybind
import
trainable_ops
2
3
4
class
Optimizer
:
5
"""
6
Base class for optimizers.
7
"""
8
def
__init__
(self, learning_rate=0.001, nums_trainable_ops=trainable_ops.ALL):
9
"""
10
Initialize the optimizer.
11
Args:
12
learning_rate (float): The learning rate for optimization.
13
"""
14
self.
learning_rate
= learning_rate
15
self.
nums_trainable_ops
= nums_trainable_ops
8
def
__init__
(self, learning_rate=0.001, nums_trainable_ops=trainable_ops.ALL):
…
4
class
Optimizer
:
…
optimizer.optimizer.Optimizer
Definition
optimizer.py:4
optimizer.optimizer.Optimizer.learning_rate
learning_rate
Definition
optimizer.py:14
optimizer.optimizer.Optimizer.__init__
__init__(self, learning_rate=0.001, nums_trainable_ops=trainable_ops.ALL)
Definition
optimizer.py:8
optimizer.optimizer.Optimizer.nums_trainable_ops
nums_trainable_ops
Definition
optimizer.py:15
runtime
onert
api
python
package
experimental
train
optimizer
optimizer.py
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