Revert "Merge pull request #8 from abergeron/shared_pickle"

theano/sandbox/cuda/__init__.py

@@ -2,7 +2,6 @@ import atexit, logging, os, stat, sys
 from theano.compile import optdb
 from theano.gof.cmodule import get_lib_extension
 from theano.configparser import config, AddConfigVar, StrParam
-from theano.tensor.sharedvar import load_shared_variable
 import nvcc_compiler
 
 _logger_name = 'theano.sandbox.cuda'
@@ -277,24 +276,10 @@ def handle_shared_float32(tf):
     """
     if tf:
         import theano.compile
-        import copy_reg
         theano.compile.shared_constructor(float32_shared_constructor)
-        # this is a bit of hackery to make the shared variables load
-        # with the proper type.
-        copy_reg.pickle(theano.tensor.basic.TensorVariable, 
-                        reduce_tensor_variable, 
-                        load_shared_variable)
-    else:
-        raise NotImplementedError('removing our handler')
 
-def reduce_tensor_variable(var):
-    if var.owner and isinstance(var.owner.op, HostFromGpu) and len(var.owner.inputs) == 1 \
-            and isinstance(var.owner.inputs[0], CudaNdarraySharedVariable):
-        return load_shared_variable, (var.owner.inputs[0].get_value(),)
     else:
-        # this will make protocol 2 a little bit less efficient
-        # but there is no way around it.
-        return var.__reduce__()
+        raise NotImplementedError('removing our handler')
 
 if config.device.startswith('gpu'):
     use(device=config.device, force=config.force_device)

theano/sandbox/cuda/tests/test_var.py

@@ -4,29 +4,10 @@ from nose.plugins.skip import SkipTest
 from theano.sandbox.cuda.var import float32_shared_constructor as f32sc
 from theano.sandbox.cuda import CudaNdarrayType, cuda_available
 
-import theano
-
 # Skip test if cuda_ndarray is not available.
 if cuda_available == False:
     raise SkipTest('Optional package cuda disabled')
 
-def test_shared_pickle():
-    import pickle
-    picklestring = "ctheano.tensor.sharedvar\nload_shared_variable\np0\n(cnumpy.core.multiarray\n_reconstruct\np1\n(cnumpy\nndarray\np2\n(I0\ntp3\nS'b'\np4\ntp5\nRp6\n(I1\n(I2\ntp7\ncnumpy\ndtype\np8\n(S'f4'\np9\nI0\nI1\ntp10\nRp11\n(I3\nS'<'\np12\nNNNI-1\nI-1\nI0\ntp13\nbI00\nS'\\x00\\x00\\x80?\\x00\\x00\\x00@'\np14\ntp15\nbtp16\nRp17\n."
-    g = pickle.loads(picklestring)
-    v = numpy.array([1.0, 2.0], dtype='float32')
-
-    # This test will always be on the GPU
-    assert isinstance(g, theano.tensor.basic.TensorVariable)
-    assert isinstance(g.owner, theano.gof.graph.Apply)
-    assert isinstance(g.owner.op, theano.sandbox.cuda.HostFromGpu)
-    assert isinstance(g.owner.inputs[0], CudaNdarrayType.SharedVariable)
-    assert (g.owner.inputs[0].get_value() == v).all()
-
-    # Make sure it saves the same way (so that the tests before are not bogus)
-    s = theano.tensor.as_tensor_variable(theano.shared(v))
-    assert pickle.dumps(s) == picklestring
-
 def test_float32_shared_constructor():
 
     npy_row = numpy.zeros((1,10), dtype='float32')

theano/tensor/sharedvar.py

@@ -5,17 +5,9 @@ from basic import TensorType, _tensor_py_operators, autocast_int, autocast_float
 from theano.compile import shared_constructor, SharedVariable
 from theano import config
 
-def load_shared_variable(val):
-    return theano.tensor.as_tensor_variable(theano.shared(val))
-
 # _tensor_py_operators is first to have its version of __{gt,ge,lt,le}__
 class TensorSharedVariable(_tensor_py_operators, SharedVariable):
-    def __reduce_ex__(self, proto):
-        # This is for loading on the GPU if present.
-        if self.dtype == 'float32':
-            return load_shared_variable, (self.get_value(),)
-        else:
-            return super(TensorSharedVariable, self).__reduce_ex__(proto)
+    pass
 
 @shared_constructor
 def tensor_constructor(value, name=None, strict=False, allow_downcast=None, borrow=False, broadcastable=None):

theano/tensor/tests/test_sharedvar.py

@@ -637,25 +637,3 @@ test_shared_options=makeSharedTester(
     cast_value_ = numpy.asarray,
     op_by_matrix_ = False,
     name='test_shared_options')
-
-
-def test_shared_pickle():
-    import pickle
-    picklestring = "ctheano.tensor.sharedvar\nload_shared_variable\np0\n(cnumpy.core.multiarray\n_reconstruct\np1\n(cnumpy\nndarray\np2\n(I0\ntp3\nS'b'\np4\ntp5\nRp6\n(I1\n(I2\ntp7\ncnumpy\ndtype\np8\n(S'f4'\np9\nI0\nI1\ntp10\nRp11\n(I3\nS'<'\np12\nNNNI-1\nI-1\nI0\ntp13\nbI00\nS'\\x00\\x00\\x80?\\x00\\x00\\x00@'\np14\ntp15\nbtp16\nRp17\n."
-    g = pickle.loads(picklestring)
-    v = numpy.array([1.0, 2.0], dtype='float32')
-
-    assert g.type == theano.tensor.fvector
-    
-    if theano.config.device.startswith('cpu'):
-        assert isinstance(g, theano.tensor.sharedvar.TensorSharedVariable)
-        assert (g.get_value() == v).all()
-    if theano.config.device.startswith('gpu'):
-        assert isinstance(g, theano.tensor.basic.TensorVariable)
-        # we don't go digging deeper because we don't want to 
-        # import theano.sandbox.cuda.
-        # some other tests are there.
-
-    # Make sure it saves the same way (so that the tests before are not bogus)
-    s = theano.tensor.as_tensor_variable(theano.shared(v))
-    assert pickle.dumps(s) == picklestring