mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
58f7f2b441
Summary: Closes https://github.com/caffe2/caffe2/pull/226 Differential Revision: D4793550 Pulled By: JoelMarcey fbshipit-source-id: cc33e58186304fa8dcac2ee9115dcc271d785b1e
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
## @package expand_dims
|
|
# Module caffe2.python.layers.expand_dims
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from caffe2.python import core, schema
|
|
from caffe2.python.layers.layers import (
|
|
ModelLayer,
|
|
)
|
|
|
|
|
|
class ExpandDims(ModelLayer):
|
|
|
|
def __init__(self, model, input_record, dims,
|
|
name='expand_dims', **kwargs):
|
|
super(ExpandDims, self).__init__(model, name, input_record, **kwargs)
|
|
self.dims = dims
|
|
# Assume that first dimension is batch, so actual dims[i] in shape is
|
|
# dims[i] - 1
|
|
dims = [d - 1 for d in dims]
|
|
assert all([d >= 0 for d in dims])
|
|
assert isinstance(input_record, schema.Scalar),\
|
|
"Incorrect input type. Excpected Scalar, but received: {0}".\
|
|
format(input_record)
|
|
|
|
input_dims = list(input_record.field_type().shape)
|
|
dims = sorted(set(dims))
|
|
assert len(input_dims) + len(dims) >= dims[-1] + 1
|
|
|
|
output_dims = input_dims[:]
|
|
for dim in dims:
|
|
output_dims.insert(dim, 1)
|
|
|
|
self.output_schema = schema.Scalar(
|
|
(input_record.field_type().base, output_dims),
|
|
model.net.NextScopedBlob(name + '_output'))
|
|
|
|
def add_ops(self, net):
|
|
net.ExpandDims(
|
|
self.input_record(),
|
|
self.output_schema(),
|
|
dims=self.dims,
|
|
)
|