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- from caffe2.python import core, test_util, workspace
- class TestFiller(test_util.TestCase):
- def test_filler(self):
- net = core.Net("test_filler")
- net.Concat(["X0", "X1", "X2"], ["concat_out", "split_info"])
- self.assertFalse(workspace.HasBlob("X0"))
- input_dim = (30, 20)
- workspace.FillRandomNetworkInputs(net, [[input_dim, input_dim, input_dim]], [["float", "float", "float"]])
- self.assertTrue(workspace.HasBlob("X0"))
- self.assertEqual(workspace.FetchBlob("X0").shape, input_dim)
- with self.assertRaises(RuntimeError):
- # Filler should throw if number of input dims/types is mismatched.
- workspace.FillRandomNetworkInputs(net, [[input_dim]], [["float"]])
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