13aa31bc1a0b87d6c4b5e787c9b041ec83831c34,autokeras/blocks/reduction.py,SpatialReduction,build,#SpatialReduction#Any#Any#,106
Before Change
"global_max",
"global_avg"],
default="global_avg")
if reduction_type == "flatten":
output_node = Flatten().build(hp, output_node)
elif reduction_type == "global_max":
output_node = layer_utils.get_global_max_pooling(
output_node.shape)()(output_node)
elif reduction_type == "global_avg":
output_node = layer_utils.get_global_average_pooling(
output_node.shape)()(output_node)
return output_node
class TemporalReduction(block_module.Block):
After Change
if len(output_node.shape) <= 2:
return output_node
if self.reduction_type is None:
reduction_type = hp.Choice(
REDUCTION_TYPE, [FLATTEN, GLOBAL_MAX, GLOBAL_AVG])
with hp.conditional_scope(REDUCTION_TYPE, [reduction_type]):
return self._build_block(hp, output_node, reduction_type)
else:
return self._build_block(hp, output_node, self.reduction_type)
def _build_block(self, hp, output_node, reduction_type):
if reduction_type == FLATTEN:
output_node = Flatten().build(hp, output_node)
elif reduction_type == GLOBAL_MAX:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: keras-team/autokeras
Commit Name: 13aa31bc1a0b87d6c4b5e787c9b041ec83831c34
Time: 2020-07-31
Author: jin@tamu.edu
File Name: autokeras/blocks/reduction.py
Class Name: SpatialReduction
Method Name: build
Project Name: keras-team/keras
Commit Name: 451d74c56d1b2f498e5c9a4856309d7f454b39e5
Time: 2017-02-19
Author: francois.chollet@gmail.com
File Name: keras/models.py
Class Name: Sequential
Method Name: non_trainable_weights
Project Name: keras-team/keras
Commit Name: 451d74c56d1b2f498e5c9a4856309d7f454b39e5
Time: 2017-02-19
Author: francois.chollet@gmail.com
File Name: keras/models.py
Class Name: Sequential
Method Name: trainable_weights