Blacklist some more ops. (#62)

- More heterogeneous list ops
- Resource ops that don't use "dtype" as the type parameter

For the latter, we may need an upstream fix, or else to change the convention
of how we can tell what the type parameter is.

tensorflow-core-ops/Setup.hs

@@ -76,6 +76,13 @@ blackList =
     , "Stack"
     , "TensorArray"
     , "TensorArrayV2"
+    , "QueueEnqueueManyV2"
+    , "QueueDequeueV2"
+    , "QueueDequeueUpToV2"
+    , "QueueEnqueueV2"
+    , "QueueDequeueManyV2"
+    , "Stage"
+    , "Unstage"
       -- These should be possible to support by adding a bunch of
       -- overloads with a variable number of tuple arguments.
     , "Assert"
@@ -96,4 +103,28 @@ blackList =
     , "_ListToArray"
       -- Easy: support larger result tuples.
     , "Skipgram"
+     -- Resource ops which don't use "dtype" as the type parameter.
+    , "ResourceApplyAdadelta"
+    , "ResourceApplyAdagrad"
+    , "ResourceApplyAdagradDA"
+    , "ResourceApplyAdam"
+    , "ResourceApplyCenteredRMSProp"
+    , "ResourceApplyFtrl"
+    , "ResourceApplyGradientDescent"
+    , "ResourceApplyMomentum"
+    , "ResourceApplyProximalAdagrad"
+    , "ResourceApplyProximalGradientDescent"
+    , "ResourceApplyRMSProp"
+    , "ResourceSparseApplyAdadelta"
+    , "ResourceSparseApplyAdagrad"
+    , "ResourceSparseApplyAdagradDA"
+    , "ResourceSparseApplyCenteredRMSProp"
+    , "ResourceSparseApplyFtrl"
+    , "ResourceSparseApplyMomentum"
+    , "ResourceSparseApplyProximalAdagrad"
+    , "ResourceSparseApplyProximalGradientDescent"
+    , "ResourceSparseApplyRMSProp"
+    , "TensorArrayScatterV3"
+    , "TensorArraySplitV3"
+    , "TensorArrayWriteV3"
     ]

third_party/tensorflow

@@ -1 +1 @@
-Subproject commit 2e22f1b20fdfa77b1332c518617391dc32359c5b
+Subproject commit 48c433f48bb3aee5bc8efe579f7a4e48e8615f4d