Don't duplicate the kernel code in GpuEye for float16.

theano/sandbox/gpuarray/basic_ops.py

@@ -20,6 +20,7 @@ except ImportError:
     pass
 
 from .type import GpuArrayType
+from .fp16_help import write_w
 
 
 def as_gpuarray_variable(x):
@@ -888,6 +889,8 @@ class GpuSplit(HideC, Split):
 
 
 class GpuEye(GpuKernelBase, Op):
+    __props__ = ('dtype',)
+
     def __init__(self, dtype=None):
         if dtype is None:
             dtype = config.floatX
@@ -915,31 +918,15 @@ class GpuEye(GpuKernelBase, Op):
         return [grad_undefined(self, i, inp[i])
                 for i in xrange(3)]
 
-    def __eq__(self, other):
-        return type(self) == type(other) and self.dtype == other.dtype
-
-    def __hash__(self):
-        return hash(self.dtype) ^ hash(type(self))
-
     def gpu_kernels(self, node, name):
-        if self.dtype == 'float16':
-            code = """
-KERNEL void k(GLOBAL_MEM %(ctype)s *a, ga_size n, ga_size m) {
-    ga_size nb = n < m ? n : m;
-    for (ga_size i = LID_0; i < nb; i += LDIM_0) {
-        a[i*m + i] = __float2half_rn(1);
-    }
-}"""
-        else:
-            code = """
+        code = """
 KERNEL void k(GLOBAL_MEM %(ctype)s *a, ga_size n, ga_size m) {
     ga_size nb = n < m ? n : m;
     for (ga_size i = LID_0; i < nb; i += LDIM_0) {
-        a[i*m + i] = 1;
+        a[i*m + i] = %(write_a)s(1);
     }
-}"""
-        code = code % dict(ctype=pygpu.gpuarray.dtype_to_ctype(self.dtype),
-                           name=name)
+}""" % dict(ctype=pygpu.gpuarray.dtype_to_ctype(self.dtype),
+            name=name, write_a=write_w(self.dtype))
         return [Kernel(
                 code=code, name="k",
                 params=[gpuarray.GpuArray, gpuarray.SIZE, gpuarray.SIZE],