Add type annotations to _tensorboard_vis.py and hipify_python.py

closes gh-49833

mypy.ini

@@ -104,24 +104,6 @@ ignore_errors = True
 [mypy-torch._utils]
 ignore_errors = True
 
-[mypy-torch._overrides]
-ignore_errors = True
-
-[mypy-torch.utils.tensorboard._caffe2_graph]
-ignore_errors = True
-
-[mypy-torch.contrib._tensorboard_vis]
-ignore_errors = True
-
-[mypy-torch.nn.utils.prune]
-ignore_errors = True
-
-[mypy-torch.utils.show_pickle]
-ignore_errors = True
-
-[mypy-torch.utils.hipify.hipify_python]
-ignore_errors = True
-
 [mypy-torch.utils.benchmark.examples.*]
 ignore_errors = True
 

torch/_C/__init__.pyi.in

@@ -344,6 +344,10 @@ def _propagate_and_assign_input_shapes(
     propagate: _bool
 ) -> Graph: ...
 
+# Defined in torch/csrc/jit/runtime/graph_executor.h
+class GraphExecutorState:
+    ...
+
 # Defined in torch/torch/csrc/jit/ir/ir.h
 class Graph:
     def eraseInput(self, i: _int) -> None: ...

torch/contrib/_tensorboard_vis.py

@@ -1,6 +1,7 @@
 import time
 from collections import defaultdict
 from functools import partial
+from typing import DefaultDict
 
 import torch
 
@@ -104,7 +105,7 @@ def inline_graph(subgraph, name, node):
         for out, val in zip(subgraph.outputs(), node.outputs()):
             value_map[val.unique()] = rec_value_map[out.unique()]
 
-    op_id_counter = defaultdict(int)
+    op_id_counter: DefaultDict[str, int] = defaultdict(int)
 
     def name_for(node):
         kind = node.kind()[node.kind().index('::') + 2:]

torch/utils/hipify/hipify_python.py

@@ -782,7 +782,9 @@ def repl(m):
                                                     os.path.relpath(header_filepath, output_directory),
                                                     all_files, includes, stats, hip_clang_launch, is_pytorch_extension,
                                                     clean_ctx, show_progress)
-                return templ.format(os.path.relpath(HIPIFY_FINAL_RESULT[header_filepath]["hipified_path"], header_dir))
+                value = HIPIFY_FINAL_RESULT[header_filepath]["hipified_path"]
+                assert value is not None
+                return templ.format(os.path.relpath(value, header_dir))
 
             return m.group(0)
         return repl