remove the old implementation of GER. There is a new one in tensor/blas.py.

theano/sandbox/blas_ger.py

-"""
-
-Optimization to specialize gemm -> ger are not written
-
-Scipy implementation is not written
-
-We need to call scipy.linalg.blas.[cf]blas.[sdcz]ger here in order not to lose speed against the old Outer op.
-Here is the scipy signature: ger(alpha,x,y,incx=1,incy=1,a=0.0,overwrite_x=1,overwrite_y=1,overwrite_a=0)
-
-http://www.scipy.org/doc/api_docs/SciPy.lib.blas.info.html
-
-
-
-C implementation is not written.
-
-Tests are not written.
-"""
-class GER(Op):
-    """
-    General rank-1 update
-    A <- A + a x' y
-
-    For matrix A, vectors x, y, and scalar a.
-    """
-    def __init__(self, inplace):
-        self.inplace = bool(inplace)
-        if self.inplace:
-            self.destroy_map = {0: [0]}
-
-    def __hash__(self):
-        return hash((type(self), self.inplace))
-
-    def __eq__(self, other):
-        return hash((type(self), self.inplace))
-
-    def make_node(self, *inputs):
-        inputs = map(as_tensor_variable, inputs)
-        A, a, x, y = inputs
-
-        nx = x.type.ndim
-        ny = y.type.ndim
-
-        if nx != 1: raise TypeError('non-vector arg0 to outer()', x)
-        if ny != 1: raise TypeError('not-vector arg1 to outer()', y)
-
-        if A.dtype != a.dtype:
-            raise TypeError('dtype mismatch', (A.dtype, a.dtype))
-        if A.dtype != x.dtype:
-            raise TypeError('dtype mismatch', (A.dtype, x.dtype))
-        if A.dtype != y.dtype:
-            raise TypeError('dtype mismatch', (A.dtype, y.dtype))
-
-        return Apply(self, inputs, [A.type()])
-
-    def perform(self, node, inp, out):
-        A, a, x, y = inp
-        if not self.inplace:
-            A = A.copy()
-        A += a * numpy.outer(x, y)
-        out[0][0] = A
-
-    # grad not needed because this is put in during optimization
-
-    def __str__(self):
-        return "GER"