[ET-VK] Adding round op support. (#9871)

This PR was created by the merge bot to help merge the original PR into
the main branch.
ghstack PR number: #9792 by
@trivedivivek
^ Please use this as the source of truth for the PR details, comments,
and reviews
ghstack PR base:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/72/base
ghstack PR head:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/72/head
Merge bot PR base:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/71/orig
Merge bot PR head:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/72/orig
@diff-train-skip-merge

---------

Co-authored-by: Vivek Trivedi <[email protected]>

Author: pytorchbot

backends/vulkan/op_registry.py

@@ -276,6 +276,7 @@ def register_binary_op(features: OpFeatures):
         exir_ops.edge.aten.sqrt.default,
         exir_ops.edge.aten.rsqrt.default,
         exir_ops.edge.aten.tanh.default,
+        exir_ops.edge.aten.round.default,
     ]
 )
 def register_unary_op(features: OpFeatures):

backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml

@@ -44,3 +44,5 @@ unary_op:
       OPERATOR: hardsigmoid(X)
     - NAME: leaky_relu
       OPERATOR: leaky_relu(X, A)
+    - NAME: round
+      OPERATOR: round(X)

backends/vulkan/runtime/graph/ops/impl/UnaryOp.cpp

@@ -149,6 +149,7 @@ DEFINE_HARDSHRINK_FN(hardshrink);
 DEFINE_ACTIVATION_FN(hardswish);
 DEFINE_ACTIVATION_FN(hardsigmoid);
 DEFINE_LEAKY_RELU_FN(leaky_relu);
+DEFINE_ACTIVATION_FN(round);
 
 REGISTER_OPERATORS {
   VK_REGISTER_OP(aten.abs.default, abs);
@@ -168,6 +169,7 @@ REGISTER_OPERATORS {
   VK_REGISTER_OP(aten.hardswish.default, hardswish);
   VK_REGISTER_OP(aten.hardsigmoid.default, hardsigmoid);
   VK_REGISTER_OP(aten.leaky_relu.default, leaky_relu);
+  VK_REGISTER_OP(aten.round.default, round);
 }
 
 } // namespace vkcompute

backends/vulkan/test/op_tests/cases.py

@@ -1092,6 +1092,7 @@ def get_reduce_op_inputs():
         "aten.hardswish.default",
         "aten.hardsigmoid.default",
         "aten.leaky_relu.default",
+        "aten.round.default",
     ]
 )
 def get_unary_ops_inputs():