| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950 |
- # Module caffe2.python.layers.dropout
- from caffe2.python import schema
- from caffe2.python.layers.layers import ModelLayer
- class Dropout(ModelLayer):
- def __init__(
- self,
- model,
- input_record,
- name='dropout',
- ratio=0.5,
- dropout_for_eval=False,
- **kwargs):
- super(Dropout, self).__init__(model, name, input_record, **kwargs)
- assert isinstance(input_record, schema.Scalar), "Incorrect input type"
- assert (ratio >= 0 and ratio < 1.0), \
- "Expected 0 <= ratio < 1, but got ratio of %s" % ratio
- self.output_schema = input_record.clone_schema()
- self.output_schema.set_value(self.get_next_blob_reference('output'))
- self.dropout_for_eval = dropout_for_eval
- self.ratio = ratio
- def _add_ops(self, net, is_test):
- input_blob = self.input_record.field_blobs()
- output_blobs = self.output_schema.field_blobs() \
- + [net.NextScopedBlob('d_mask')]
- net.Dropout(input_blob,
- output_blobs,
- ratio=self.ratio,
- is_test=is_test)
- def add_train_ops(self, net):
- self._add_ops(net, is_test=False)
- def add_eval_ops(self, net):
- self._add_ops(net, is_test=(not self.dropout_for_eval))
- def add_ops(self, net):
- self.add_eval_ops(net)
|
