def wrapper(*args, **kwargs):
new_layer = layers.create_layer(layer, self, *args, **kwargs)
if kwargs.get("output_to_metrics", False):
new_layer.export_output_for_metrics()
if kwargs.get("params_to_metrics", False):
new_layer.export_params_for_metrics()
return self.add_layer(new_layer)
def wrapper(*args, **kwargs):
new_layer = layers.create_layer(layer, self, *args, **kwargs)
if kwargs.get("output_to_metrics", False):
new_layer.export_output_for_metrics()
if kwargs.get("params_to_metrics", False):
new_layer.export_params_for_metrics()
return self.add_layer(new_layer)
def wrapper(*args, **kwargs):
def apply_operator(net, in_record, out_record):
# TODO(amalevich): Switch to net.operator as soon as it gets
# landed
net.__getattr__(layer)(in_record.field_blobs(),
out_record.field_blobs(),
**kwargs)
if 'name' not in kwargs:
kwargs['name'] = layer
return self.add_layer(
layers.create_layer('Functional',
self, *args, function=apply_operator,
**kwargs))
def wrapper(*args, **kwargs):
def apply_operator(net, in_record, out_record, **kwargs):
# TODO(amalevich): Switch to net.operator as soon as it gets
# landed
net.__getattr__(layer)(in_record.field_blobs(),
out_record.field_blobs(),
**kwargs)
if 'name' not in kwargs:
kwargs['name'] = layer
return self.add_layer(
layers.create_layer('Functional',
self, *args, function=apply_operator,
**kwargs))
def wrapper(*args, **kwargs):
def apply_operator(net, in_record, out_record):
# core.Net will throw exception if output_dtypes is set
# in Functional layer because MakeArgment() cannot recognize
# it. Just remove it from kwargs.
clean_kwargs = dict(kwargs)
if 'output_dtypes' in clean_kwargs:
del clean_kwargs['output_dtypes']
# TODO(amalevich): Switch to net.operator as soon as it gets
# landed
net.__getattr__(layer)(in_record.field_blobs(),
out_record.field_blobs(),
**clean_kwargs)
if 'name' not in kwargs:
kwargs['name'] = layer
return self.add_layer(
layers.create_layer('Functional',
self, *args, function=apply_operator,
**kwargs))
def wrapper(*args, **kwargs):
def apply_operator(net, in_record, out_record, **kwargs):
# TODO(amalevich): Switch to net.operator as soon as it gets
# landed
net.__getattr__(layer)(in_record.field_blobs(),
out_record.field_blobs(), **kwargs)
if 'name' not in kwargs:
kwargs['name'] = layer
new_layer = layers.create_layer('Functional',
self,
*args,
function=apply_operator,
**kwargs)
if kwargs.get("output_to_metrics", False):
new_layer.export_output_for_metrics()
if kwargs.get("params_to_metrics", False):
new_layer.export_params_for_metrics()
return self.add_layer(new_layer)
def wrapper(*args, **kwargs):
def apply_operator(net, in_record, out_record, **kwargs):
# TODO(amalevich): Switch to net.operator as soon as it gets
# landed
net.__getattr__(layer)(in_record.field_blobs(),
out_record.field_blobs(),
**kwargs)
if 'name' not in kwargs:
kwargs['name'] = layer
new_layer = layers.create_layer(
'Functional',
self, *args, function=apply_operator,
**kwargs
)
if kwargs.get("output_to_metrics", False):
new_layer.export_output_for_metrics()
if kwargs.get("params_to_metrics", False):
new_layer.export_params_for_metrics()
return self.add_layer(new_layer)
def wrapper(*args, **kwargs):
return self.add_layer(
layers.create_layer(layer, self, *args, **kwargs))
def wrapper(*args, **kwargs):
return self.add_layer(
layers.create_layer(layer, self, *args, **kwargs))
