bc6c691202e5f8755de7b13d88f86286ff878abb,kur/backend/keras_backend.py,KerasBackend,process_loss,#KerasBackend#Any#Any#,530
Before Change
"loss functions attached: %s", ", ".join(output_only))
if isinstance(loss, (list, tuple)):
loss = {x.get("target") : x for x in loss}
if not isinstance(loss, (dict, OrderedDict)):
raise ValueError("Loss functions given to "compile" should be "
"a list/tuple, a dictionary, or a single Loss instance. "
After Change
logger.debug("These layers will be output-only layers, without "
"loss functions attached: %s", ", ".join(output_only))
if isinstance(loss, (list, tuple)):
loss_with_names = []
for x in loss:
if not isinstance(x, (dict, OrderedDict)):
raise ValueError("Expected each individual loss entry to "
"be a dictionary. Received: {}".format(x))
if not "target" in x:
raise ValueError("Missing required key in loss function: "
""target".")
loss_with_names.append((x["target"], x))
elif isinstance(loss, (dict, OrderedDict)):
loss_with_names = list(loss.items())
else:
raise ValueError("Loss functions given to "compile" should be "
"a list/tuple, a dictionary, or a single Loss instance. "
"Instead we received this: {} (type={})"
.format(loss, type(loss)))
loss_inputs = OrderedDict()
loss_outputs = OrderedDict()
for target, this_loss in loss_with_names:
ins, out = this_loss.get_loss(
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances Project Name: deepgram/kur
Commit Name: bc6c691202e5f8755de7b13d88f86286ff878abb
Time: 2017-05-10
Author: ajsyp@syptech.net
File Name: kur/backend/keras_backend.py
Class Name: KerasBackend
Method Name: process_loss
Project Name: HazyResearch/fonduer
Commit Name: a3400845afb88d0d9b19f7f810abbd718117f24e
Time: 2018-10-17
Author: lukehsiao@users.noreply.github.com
File Name: src/fonduer/utils/utils_udf.py
Class Name:
Method Name: get_sparse_matrix
Project Name: bokeh/bokeh
Commit Name: 95ab2d1f1cb241580a566644df07b9810e852959
Time: 2015-08-17
Author: nroth@dealnews.com
File Name: bokeh/charts/_data_source.py
Class Name: ChartDataSource
Method Name: get_selections