gryf/coach
1
0
Fork 0
mirror of https://github.com/gryf/coach.git synced 2025-12-17 19:20:19 +01:00
Code Issues Projects Releases Wiki Activity

remove unused commented code

Browse Source
This commit is contained in:
Zach Dwiel
2018-02-20 11:55:34 -05:00
parent d9303e731e
commit ef46e194af
1 changed files with 0 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
architectures/tensorflow_components/architecture.py
View File

@@ -321,22 +321,6 @@ class TensorFlowArchitecture(Architecture):
return output return output
# def train_on_batch(self, inputs, targets, scaler=1., additional_fetches=None):
# """
# Given a batch of examples and targets, runs a forward pass & backward pass and then applies the gradients
# :param additional_fetches: Optional tensors to fetch during the training process
# :param inputs: The input for the network
# :param targets: The targets corresponding to the input batch
# :param scaler: A scaling factor that allows rescaling the gradients before applying them
# :return: The loss of the network
# """
# if additional_fetches is None:
# additional_fetches = []
# force_list(additional_fetches)
# loss = self.accumulate_gradients(inputs, targets, additional_fetches=additional_fetches)
# self.apply_and_reset_gradients(self.accumulated_gradients, scaler)
# return loss
def get_weights(self): def get_weights(self):
""" """
:return: a list of tensors containing the network weights for each layer :return: a list of tensors containing the network weights for each layer