diff --git a/3rdparty/tvm b/3rdparty/tvm
index 5fec9adbcaf8..0f053c82a747 160000
--- a/3rdparty/tvm
+++ b/3rdparty/tvm
@@ -1 +1 @@
-Subproject commit 5fec9adbcaf8debb720b56beffd45bd6941eff63
+Subproject commit 0f053c82a747b4dcdf49570ec87c17e0067b7439
diff --git a/src/operator/tensor/elemwise_unary_op_basic.cc b/src/operator/tensor/elemwise_unary_op_basic.cc
index c3e9c2dc91d0..49ae976cfc2c 100644
--- a/src/operator/tensor/elemwise_unary_op_basic.cc
+++ b/src/operator/tensor/elemwise_unary_op_basic.cc
@@ -439,7 +439,7 @@ Example::
 
 More precise control over how dimensions are inherited is achieved by specifying \
 slices over the `lhs` and `rhs` array dimensions. Only the sliced `lhs` dimensions \
-are reshaped to the `rhs` sliced dimensions, with the non-sliced `lhs` dimensions staying the same. 
+are reshaped to the `rhs` sliced dimensions, with the non-sliced `lhs` dimensions staying the same.
 
   Examples::
 
@@ -599,10 +599,6 @@ Example::
   [](const NodeAttrs& attrs){
     return std::vector<std::pair<int, int> >{{0, 0}};
   })
-.set_attr<nnvm::FInplaceIdentity>("FInplaceIdentity",
-  [](const NodeAttrs& attrs){
-    return std::vector<bool>{true};
-  })
 .set_attr<FCompute>("FCompute<cpu>", CastCompute<cpu>)
 .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseNone{"_backward_cast"})
 .add_argument("data", "NDArray-or-Symbol", "The input.")
@@ -614,10 +610,6 @@ NNVM_REGISTER_OP(_backward_cast)
   [](const NodeAttrs& attrs){
     return std::vector<std::pair<int, int> >{{0, 0}};
   })
-.set_attr<nnvm::FInplaceIdentity>("FInplaceIdentity",
-  [](const NodeAttrs& attrs){
-    return std::vector<bool>{true};
-  })
 .set_attr<FCompute>("FCompute<cpu>", CastCompute<cpu>);
 
 // negative