Address comments from review.

theano/sandbox/gpuarray/opt.py

@@ -611,6 +611,7 @@ def local_gpua_gemm(node):
 def local_gpua_hgemm(node):
     from theano.sandbox.cuda import nvcc_compiler
     if nvcc_compiler.nvcc_version < '7.5':
+        log.warning("Not performing dot of float16 on the GPU since cuda 7.5 is not available.  Updating could speed up your code.")
         return
     A = node.inputs[0]
     B = node.inputs[1]

theano/sandbox/gpuarray/tests/test_blas.py

@@ -132,6 +132,7 @@ def test_hgemm_swap():
     f = theano.function([v, m], tensor.dot(v, m), mode=mode_with_gpu)
     assert len([node for node in f.maker.fgraph.apply_nodes
                 if isinstance(node.op, GpuGemm)]) == 0
+
     f = theano.function([m32, m], tensor.dot(m32, m), mode=mode_with_gpu)
     assert len([node for node in f.maker.fgraph.apply_nodes
                 if isinstance(node.op, GpuGemm)]) == 0
@@ -140,20 +141,6 @@ def test_hgemm_swap():
     assert len([node for node in f.maker.fgraph.apply_nodes
                 if isinstance(node.op, GpuGemm)]) == 1
 
-
-def test_hgemm_value():
-    from theano.sandbox.cuda import nvcc_compiler
-    if nvcc_compiler.nvcc_version < '7.5':
-        raise SkipTest("SgemmEx is only avaialble on cuda 7.5+")
-
-    m = tensor.matrix(dtype='float16')
-    m2 = tensor.matrix(dtype='float16')
-
-    f = theano.function([m, m2], tensor.dot(m, m2), mode=mode_with_gpu)
-
-    assert len([node for node in f.maker.fgraph.apply_nodes
-                if isinstance(node.op, GpuGemm)]) == 1
-
     v1 = numpy.random.random((3, 4)).astype('float16')
     v2 = numpy.random.random((4, 2)).astype('float16')