[JIT] Plumb type annotations through script compilation by jamesr66a · Pull Request #9405 · pytorch/pytorch

jamesr66a · 2018-07-13T00:28:00Z

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zdevito

Cool -- I have a bunch of organization comments to keep the complexity of this change down. Right now it adds too many different pathways to the compiler and I have some suggestions about how to reduce that.

torch/csrc/jit/script/compiler.h

+  DefAndTypes(Def def, std::vector<TypePtr> arg_types, TypePtr return_type)
+    : def(std::move(def)), arg_types(arg_types), return_type(return_type) {}
+  Def def;
+  std::vector<TypePtr> arg_types;


torch/csrc/jit/script/compiler.h

  bool allow_varargs;
 };

+struct DefAndTypes {


torch/csrc/jit/script/compiler.h

  const std::vector<Resolver>& resolvers, /* determines how we handle free variables in each definition*/
-  std::shared_ptr<SugaredValue> self /* if non-null, the first argument to each def, is bound to this value */
+  std::shared_ptr<SugaredValue> self, /* if non-null, the first argument to each def, is bound to this value */
+  bool pure_func=false /* If true, expect a single def which will become the 'forward' method on the module */


torch/jit/__init__.py

+    mod = ScriptModule()
+    rcb = createResolutionCallback(_frames_up + 1)
+    ast = get_jit_ast(fn)
+    arg_types, ret_type = annotations.get_signature(fn, ast.num_params(), 0)


torch/jit/__init__.py

-    graph = _script_graph(fn, _frames_up=_frames_up + 1)
    mod = ScriptModule()
-    mod._create_method_from_graph('forward', graph)
+    _script_pure_function(mod, fn, _frames_up=_frames_up + 1)


torch/csrc/jit/script/compiler.cpp

      auto& name = (*it).ident().name();
-      arguments.push_back({name, DynamicType::get()});
+      TypePtr arg_type = DynamicType::get();
+      if (def_and_types.arg_types.size()) {


torch/jit/__init__.py

+    ast = get_jit_ast(fn)
+    arg_types, return_type = annotations.get_signature(fn, ast.num_params() - 1, 0)
+    # Dumb handling for `self`
+    if len(arg_types) == ast.num_params():


torch/jit/__init__.py

                torch._C.ScriptModule.__init__(self)
            original_init(self, *args, **kwargs)
-            asts = [m.ast for m in methods]
+            defs = [torch._C.DefAndTypes(m.ast, m.arg_types, m.return_type) for m in methods]


torch/csrc/jit/script/compiler.cpp

-  for(Def def : definitions) {
-    const std::string& name = def.name().name();
+  for(DefAndTypes def : definitions) {
+    const std::string& name = pure_func ? "forward" : def.def.name().name();


torch/csrc/jit/script/compiler.cpp

+      std::vector<TypePtr> flattened_return_types;
+      if (def_and_types.return_type) {
+        if (def_and_types.return_type->kind() == TypeKind::TupleType) {
+          const auto &tuple_type_elmts = def_and_types.return_type->cast<TupleType>()->elements();


torch/csrc/jit/script/python_tree_views.cpp

                         wrap_list(r, std::move(body)));
-    }));
+    }))
+    .def("num_params", [](Def& self) {


torch/csrc/jit/script/compiler.cpp

  FunctionTable table;
  JIT_ASSERT(definitions.size() == resolvers.size());
+  if (pure_func) {
+    JIT_ASSERT(definitions.size() == 1);


torch/csrc/jit/script/compiler.h

  bool allow_varargs;
 };

+struct DefAndTypes {


torch/jit/__init__.py



-def _script_graph(fn, _frames_up=0):
+def _compile_fn(fn, _frames_up=0):


torch/jit/__init__.py

+    _jit_script_compile_pure_fn(mod, torch._C.DefAndTypes(ast, arg_types, ret_type), rcb)
+
+
+def _script_graph(fn, _frames_up=0):


torch/csrc/jit/script/init.cpp


-  m.def("_jit_script_compile", [](Def def, ResolutionCallback rcb) {
-    return compileFunction(def, pythonResolver(rcb));
+  m.def("_jit_script_compile_pure_fn", [](Module &m, DefAndTypes def, ResolutionCallback rcb) {


jamesr66a · 2018-07-18T18:27:31Z

Superseded by #9547

Summary: Supersedes #9405 Pull Request resolved: #9547 Reviewed By: zdevito Differential Revision: D8900327 Pulled By: jamesr66a fbshipit-source-id: a00a94615af4fbaec98ee3ede0cb54bcfd9108dd

Summary: Supersedes pytorch#9405 Pull Request resolved: pytorch#9547 Reviewed By: zdevito Differential Revision: D8900327 Pulled By: jamesr66a fbshipit-source-id: a00a94615af4fbaec98ee3ede0cb54bcfd9108dd

jamesr66a requested review from apaszke, colesbury, ezyang, gchanan, soumith and zdevito as code owners July 13, 2018 00:28

jamesr66a force-pushed the script_type_annotations2 branch from ce55be3 to f88188c Compare July 13, 2018 00:30

[JIT] Plumb type annotations through script compilation

8a01c6b

jamesr66a force-pushed the script_type_annotations2 branch from f88188c to 8a01c6b Compare July 13, 2018 00:32

facebook-github-bot reviewed Jul 13, 2018

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zdevito reviewed Jul 13, 2018

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apaszke reviewed Jul 13, 2018

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jamesr66a mentioned this pull request Jul 18, 2018

[JIT] Plumb type annotations through script compilation (new) #9547

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jamesr66a closed this Jul 18, 2018



		def _script_graph(fn, _frames_up=0):
		def _compile_fn(fn, _frames_up=0):

		_jit_script_compile_pure_fn(mod, torch._C.DefAndTypes(ast, arg_types, ret_type), rcb)


		def _script_graph(fn, _frames_up=0):

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jamesr66a commented Jul 18, 2018

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