import numpy as np

import unittest

import caffe

class TestBlobProtoToArray(unittest.TestCase):

def test_old_format(self):

data = np.zeros((10,10))

blob = caffe.proto.caffe_pb2.BlobProto()

blob.data.extend(list(data.flatten()))

shape = (1,1,10,10)

blob.num, blob.channels, blob.height, blob.width = shape

arr = caffe.io.blobproto_to_array(blob)

self.assertEqual(arr.shape, shape)

def test_new_format(self):

data = np.zeros((10,10))

blob = caffe.proto.caffe_pb2.BlobProto()

blob.data.extend(list(data.flatten()))

blob.shape.dim.extend(list(data.shape))

arr = caffe.io.blobproto_to_array(blob)

self.assertEqual(arr.shape, data.shape)

def test_no_shape(self):

data = np.zeros((10,10))

blob = caffe.proto.caffe_pb2.BlobProto()

blob.data.extend(list(data.flatten()))

with self.assertRaises(ValueError):

caffe.io.blobproto_to_array(blob)

def test_scalar(self):

data = np.ones((1)) * 123

blob = caffe.proto.caffe_pb2.BlobProto()

blob.data.extend(list(data.flatten()))

arr = caffe.io.blobproto_to_array(blob)

self.assertEqual(arr, 123)