Add input size validation to Module.execute (pytorch#10701)

### Summary
Adds input size validation to `Module.execute` to prevent possible
silent memory corruption when too many EValue inputs are passed.

Fixes pytorch#10510 

### Test plan
- Added unit test `TestExecuteWithTooManyInputs`
- Verified by successfully running all `module_test.cpp` tests, except
`TestPTD` (did not have access to `ModuleLinear.ptd`)
- To run locally:  
- Bypass `is_fbcode` guard in `targets.bzl` and redirect test file paths
to use a locally exported `ModuleAdd.pte` file
  - Build and run tests via:
  
  ```
  buck2 build //extension/module/test:test
  buck2 run //extension/module/test:test

---------

Co-authored-by: Anthony Shoumikhin <[email protected]>

Author: 2 people

extension/module/module.cpp

@@ -240,6 +240,12 @@ runtime::Result<std::vector<runtime::EValue>> Module::execute(
   auto& method = methods_.at(method_name).method;
   auto& inputs = methods_.at(method_name).inputs;
 
+  ET_CHECK_OR_RETURN_ERROR(
+      input_values.size() <= inputs.size(),
+      InvalidArgument,
+      "input size: %zu does not match method input size: %zu",
+      input_values.size(),
+      inputs.size());
   for (size_t i = 0; i < input_values.size(); ++i) {
     if (!input_values[i].isNone()) {
       inputs[i] = input_values[i];

extension/module/test/module_test.cpp

@@ -216,6 +216,16 @@ TEST_F(ModuleTest, TestExecuteOnCurrupted) {
   EXPECT_NE(result.error(), Error::Ok);
 }
 
+TEST_F(ModuleTest, TestExecuteWithTooManyInputs) {
+  Module module(model_path_);
+
+  auto tensor = make_tensor_ptr({2, 2}, {1.f, 2.f, 3.f, 4.f});
+
+  const auto result = module.execute("forward", {tensor, tensor, 1.0, 1.0});
+
+  EXPECT_NE(result.error(), Error::Ok);
+}
+
 TEST_F(ModuleTest, TestGet) {
   Module module(model_path_);