Replace Executorch with ExecuTorch, Part 2/N

Summary:
`codemod -m -d ./ --extensions h,cpp 'Executorch' 'ExecuTorch'`

and manually picked the ones that are strictly not code (e.g., docblock)

Differential Revision: D49566516

fbshipit-source-id: 74e3c5fb131e1f5a1fb3b2d7a9a6bb9000d912b1

Author: mnachin

examples/bundled_executor_runner/bundled_executor_runner.cpp

@@ -9,7 +9,7 @@
 /**
  * @file
  *
- * This tool can run Executorch model files that only use operators that
+ * This tool can run ExecuTorch model files that only use operators that
  * are covered by the portable kernels, with possible delegate to the
  * test_backend_compiler_lib.
  *
@@ -42,7 +42,7 @@ DEFINE_string(
 DEFINE_string(
     prof_result_path,
     "prof_result.bin",
-    "Executorch profiler output path.");
+    "ExecuTorch profiler output path.");
 
 DEFINE_bool(
     bundled_program,

examples/executor_runner/executor_runner.cpp

@@ -9,7 +9,7 @@
 /**
  * @file
  *
- * This tool can run Executorch model files that only use operators that
+ * This tool can run ExecuTorch model files that only use operators that
  * are covered by the portable kernels, with possible delegate to the
  * test_backend_compiler_lib.
  *
@@ -38,7 +38,7 @@ DEFINE_string(
 DEFINE_string(
     prof_result_path,
     "prof_result.bin",
-    "Executorch profiler output path.");
+    "ExecuTorch profiler output path.");
 
 using namespace torch::executor;
 using torch::executor::util::FileDataLoader;

extension/pybindings/pybindings.cpp

@@ -146,7 +146,7 @@ class Module final {
 #ifdef USE_ATEN_LIB
     // [TLS handling] This is to workaround an assertion failure
     // (https://fburl.com/code/302jyn8d) running `gelu` in ATen mode in fbcode
-    // (such as bento). The problem is Executorch ATen mode doesn't have
+    // (such as bento). The problem is ExecuTorch ATen mode doesn't have
     // Thread Local State, but `torch-cpp` is assuming tls init is done. There
     // are two more checks: MKLDNN disabled and C10_MOBILE, if any of them is
     // true we won't be hitting this assertion error. However in `torch-cpp`

kernels/optimized/cpu/moments_utils.h

@@ -9,7 +9,7 @@
 #pragma once
 
 // Slightly modified version of caffe2/aten/src/ATen/native/cpu/moments_utils.h
-// for use in optimized Executorch ops. Template specializations of BFloat16
+// for use in optimized ExecuTorch ops. Template specializations of BFloat16
 // are excluded.
 
 #include <executorch/kernels/optimized/vec/vec.h>

kernels/portable/cpu/op_allclose.cpp

@@ -117,13 +117,13 @@ Tensor& allclose_out(
  * Note: This custom operator contains two variants: allclose.Tensor (a
  * functional variant, no inplace mutating on the arguments) and allclose.out
  * (an out variant, mutating out). We need to register both into the PyTorch
- * runtime so that they can be visible from Executorch compiler side. Eventually
- * only allclose.out will be seen from Executorch runtime. With this setup, the
+ * runtime so that they can be visible from ExecuTorch compiler side. Eventually
+ * only allclose.out will be seen from ExecuTorch runtime. With this setup, the
  * portable kernel for allclose.Tensor can be implemented as a wrapper of
  * allclose.out. We can easily instantiate an at::Tensor for the out argument,
  * then pass it into allclose.out. This logic will only need to work out in
- * "ATen mode" for Executorch compiler, since we won't expose allclose.Tensor in
- * Executorch runtime.
+ * "ATen mode" for ExecuTorch compiler, since we won't expose allclose.Tensor in
+ * ExecuTorch runtime.
  */
 Tensor allclose_tensor(
     __ET_UNUSED const Tensor& self,

runtime/core/error.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Executorch Error declarations.
+ * ExecuTorch Error declarations.
  */
 
 #pragma once
@@ -24,7 +24,7 @@ namespace executor {
 typedef uint32_t error_code_t;
 
 /**
- * Executorch Error type.
+ * ExecuTorch Error type.
  */
 enum class Error : error_code_t {
   /*

runtime/core/exec_aten/testing_util/tensor_factory.h

@@ -554,7 +554,7 @@ inline void validate_strides(
 
 } // namespace
 
-// Note that this !USE_ATEN_LIB section uses Executorch-specific namespaces
+// Note that this !USE_ATEN_LIB section uses ExecuTorch-specific namespaces
 // instead of exec_aten to make it clear that we're dealing with ETensor, and
 // because many of these names aren't mapped into exec_aten::.
 

runtime/core/exec_aten/util/scalar_type_util.h

@@ -15,7 +15,7 @@
  * See file comment in ../ScalarType.h.
  *
  * This file contains all of the non-critical parts of the original ScalarType.h
- * that are not required for the core Executorch runtime, but may be helpful for
+ * that are not required for the core ExecuTorch runtime, but may be helpful for
  * code that uses ScalarType.
  */
 
@@ -577,7 +577,7 @@ inline size_t sizeof_scalar_type(exec_aten::ScalarType type) {
 //
 // These macros are not meant to be used directly. They provide an easy way to
 // generate a switch statement that can handle subsets of ScalarTypes supported
-// by Executorch.
+// by ExecuTorch.
 //
 
 #define ET_INTERNAL_SWITCH_CASE(enum_type, CTYPE_ALIAS, ...)  \
@@ -744,7 +744,7 @@ inline size_t sizeof_scalar_type(exec_aten::ScalarType type) {
 // Switch case macros
 //
 // These macros provide an easy way to generate switch statements that apply a
-// common lambda function to subsets of ScalarTypes supported by Executorch.
+// common lambda function to subsets of ScalarTypes supported by ExecuTorch.
 // The lambda function can type specialize to the ctype associated with the
 // ScalarType being handled through an alias passed as the CTYPE_ALIAS argument.
 //

runtime/core/exec_aten/util/tensor_util_portable.cpp

@@ -16,7 +16,7 @@
 namespace torch {
 namespace executor {
 /**
- * Implementation for Executorch tensor util, should only be included in
+ * Implementation for ExecuTorch tensor util, should only be included in
  * an target with ATen mode turned off. Explicitly taking
  * torch::executor::Tensor (instead of exec_aten::Tensor) to make sure it fails
  * at compile time if built incorrectly.

runtime/core/memory_allocator.h

@@ -33,7 +33,7 @@ namespace executor {
  *   MemoryAllocator allocator(100, memory_pool)
  *   // Pass allocator object in the Executor
  *
- *   Underneath the hood, Executorch will
+ *   Underneath the hood, ExecuTorch will
  *   allocator.allocate() to keep iterating cur_ pointer
  */
 class MemoryAllocator {

runtime/core/portable_type/device.h

@@ -24,11 +24,11 @@ using DeviceIndex = int8_t;
 
 /**
  * An abstraction for the compute device on which a tensor is located.
- * Executorch doesn't allow dynamic dispatching based on device, so this type is
+ * ExecuTorch doesn't allow dynamic dispatching based on device, so this type is
  * just a skeleton to allow certain kernels that expect device as an
  * argument to still be run.
  *
- * In Executorch this is always expected to be CPU.
+ * In ExecuTorch this is always expected to be CPU.
  */
 struct Device final {
   using Type = DeviceType;

runtime/core/portable_type/scalar_type.h

@@ -52,7 +52,7 @@ namespace executor {
  *
  * The indices and C types must be consistent with
  * AT_FORALL_SCALAR_TYPES_WITH_COMPLEX_AND_QINTS in the core pytorch file
- * c10/core/ScalarType.h. This ensures that Executorch serialization is
+ * c10/core/ScalarType.h. This ensures that ExecuTorch serialization is
  * compatible with ATen serialization.
  *
  * @param _ A macro that takes two parameters: the name of a C type, and the

runtime/core/portable_type/tensor_impl.h

@@ -57,7 +57,7 @@ class TensorImpl {
    * This must match the size/signedness of the type used for `Tensor.sizes` in
    * //executorch/schema/program.fbs.
    *
-   * Note that at::TensorImpl uses `int64_t` for this type. Executorch uses
+   * Note that at::TensorImpl uses `int64_t` for this type. ExecuTorch uses
    * `int32_t` to save memory, since no single size value will ever be larger
    * than 2 billion.
    */
@@ -77,7 +77,7 @@ class TensorImpl {
    * This must match the size/signedness of the type used for `Tensor.strides`
    * in //executorch/schema/program.fbs.
    *
-   * Note that at::TensorImpl uses `int64_t` for this type. Executorch uses
+   * Note that at::TensorImpl uses `int64_t` for this type. ExecuTorch uses
    * `int32_t` to save memory, since no single stride value will ever be larger
    * than 2 billion.
    */

runtime/core/portable_type/tensor_options.h

@@ -21,7 +21,7 @@ enum class MemoryFormat : int8_t {
   /**
    * Row-major contiguous data format.
    *
-   * This is the only format supported by Executorch. Use dim orders to
+   * This is the only format supported by ExecuTorch. Use dim orders to
    * describe other layouts.
    */
   Contiguous,
@@ -37,7 +37,7 @@ enum class Layout : int8_t {
    * Contrasted with a sparse tensor layout where the memory structure of the
    * data blob will be more complicated and indexing requires larger structures.
    *
-   * This is the only layout supported by Executorch.
+   * This is the only layout supported by ExecuTorch.
    */
   Strided,
 };

runtime/core/result.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Result type to be used in conjunction with Executorch Error type.
+ * Result type to be used in conjunction with ExecuTorch Error type.
  */
 
 #pragma once

runtime/executor/method_meta.h

@@ -23,7 +23,7 @@ namespace torch {
 namespace executor {
 
 /**
- * Metadata about a specific tensor of an Executorch Program.
+ * Metadata about a specific tensor of an ExecuTorch Program.
  *
  * The program used to create the MethodMeta object that created this
  * TensorInfo must outlive this TensorInfo.
@@ -90,7 +90,7 @@ class TensorInfo final {
 };
 
 /**
- * Describes a a method in an Executorch program.
+ * Describes a a method in an ExecuTorch program.
  *
  * The program used to create a MethodMeta object must outlive the MethodMeta.
  * It is separate from Method so that this information can be accessed without

runtime/executor/program.h

@@ -36,7 +36,7 @@ class ProgramTestFriend;
 } // namespace testing
 
 /**
- * A deserialized Executorch program binary.
+ * A deserialized ExecuTorch program binary.
  */
 class Program final {
  public:

runtime/platform/abort.cpp

@@ -13,7 +13,7 @@ namespace torch {
 namespace executor {
 
 /**
- * Trigger the Executorch global runtime to immediately exit without cleaning
+ * Trigger the ExecuTorch global runtime to immediately exit without cleaning
  * up, and set an abnormal exit status (platform-defined).
  */
 __ET_NORETURN void runtime_abort() {

runtime/platform/abort.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Executorch global abort wrapper function.
+ * ExecuTorch global abort wrapper function.
  */
 
 #pragma once
@@ -19,7 +19,7 @@ namespace torch {
 namespace executor {
 
 /**
- * Trigger the Executorch global runtime to immediately exit without cleaning
+ * Trigger the ExecuTorch global runtime to immediately exit without cleaning
  * up, and set an abnormal exit status (platform-defined).
  */
 __ET_NORETURN void runtime_abort();

runtime/platform/compiler.h

@@ -16,13 +16,13 @@
 // Compiler support checks.
 
 #if !defined(__cplusplus)
-#error Executorch must be compiled using a C++ compiler.
+#error ExecuTorch must be compiled using a C++ compiler.
 #endif
 
 #if __cplusplus < 201103L && (!defined(_MSC_VER) || _MSC_VER < 1600) && \
     (!defined(__GNUC__) ||                                              \
      (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__ < 40400))
-#error Executorch must use a compiler supporting at least the C++11 standard.
+#error ExecuTorch must use a compiler supporting at least the C++11 standard.
 #error __cplusplus _MSC_VER __GNUC__  __GNUC_MINOR__  __GNUC_PATCHLEVEL__
 #endif
 
@@ -31,7 +31,7 @@
  * See all C++ declaration attributes here:
  *   https://en.cppreference.com/w/cpp/language/attributes
  *
- * Note that Executorch supports a lower C++ standard version than all standard
+ * Note that ExecuTorch supports a lower C++ standard version than all standard
  * attributes. Therefore, some annotations are defined using their Clang/GNU
  * counterparts.
  *

runtime/platform/log.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Executorch logging API.
+ * ExecuTorch logging API.
  */
 
 #pragma once
@@ -27,7 +27,7 @@
 
 /*
  * Enable logging by default if compiler option is not provided.
- * This should facilitate less confusion for those developing Executorch.
+ * This should facilitate less confusion for those developing ExecuTorch.
  */
 #ifndef ET_LOG_ENABLED
 #define ET_LOG_ENABLED 1
@@ -56,7 +56,7 @@ enum class LogLevel : uint8_t {
   Info,
 
   /**
-   * Log messages about errors within Executorch during runtime.
+   * Log messages about errors within ExecuTorch during runtime.
    */
   Error,
 

runtime/platform/platform.h

@@ -9,7 +9,7 @@
 /**
  * @file
  * Platform abstraction layer to allow individual platform libraries to override
- * symbols in Executorch. PAL functions are defined as C functions so a platform
+ * symbols in ExecuTorch. PAL functions are defined as C functions so a platform
  * library implementer can use C in lieu of C++.
  */
 

runtime/platform/runtime.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Executorch global runtime wrapper functions.
+ * ExecuTorch global runtime wrapper functions.
  */
 
 #pragma once
@@ -19,7 +19,7 @@ namespace torch {
 namespace executor {
 
 /**
- * Initialize the Executorch global runtime.
+ * Initialize the ExecuTorch global runtime.
  */
 void runtime_init();
 

runtime/platform/system.h

@@ -9,7 +9,7 @@
 /**
  * @file
  * Platform abstraction layer to allow individual host OS to override
- * symbols in Executorch. PAL functions are defined as C functions so an
+ * symbols in ExecuTorch. PAL functions are defined as C functions so an
  * implementer can use C in lieu of C++.
  */
 #pragma once

runtime/platform/target/Posix.cpp

@@ -54,7 +54,7 @@
     if (!initialized) {                                             \
       fprintf(                                                      \
           ET_LOG_OUTPUT_FILE,                                       \
-          "Executorch PAL must be initialized before call to %s()", \
+          "ExecuTorch PAL must be initialized before call to %s()", \
           __ET_FUNCTION);                                           \
       fflush(ET_LOG_OUTPUT_FILE);                                   \
       et_pal_abort();                                               \

runtime/platform/types.h

@@ -8,7 +8,7 @@
 
 /**
  * @file
- * Public types used by the Executorch Platform Abstraction Layer.
+ * Public types used by the ExecuTorch Platform Abstraction Layer.
  */
 
 #pragma once

schema/extended_header.h

@@ -14,7 +14,7 @@ namespace torch {
 namespace executor {
 
 /**
- * An extended, Executorch-specific header that may be embedded in the
+ * An extended, ExecuTorch-specific header that may be embedded in the
  * serialized Program data header.
  *
  * For details see

sdk/runners/executor_runner.cpp

@@ -62,7 +62,7 @@ DEFINE_string(
 DEFINE_string(
     prof_result_path,
     "prof_result.bin",
-    "Executorch profiler output path.");
+    "ExecuTorch profiler output path.");
 
 DEFINE_bool(print_output, false, "Prints output of the model.");
 
@@ -316,7 +316,7 @@ int main(int argc, char** argv) {
 #ifdef USE_ATEN_LIB
   // [TLS handling] This is to workaround an assertion failure
   // (https://fburl.com/code/302jyn8d) running `gelu` in ATen mode in fbcode
-  // (such as bento). The problem is Executorch ATen mode doesn't have Thread
+  // (such as bento). The problem is ExecuTorch ATen mode doesn't have Thread
   // Local State, but `torch-cpp` is assuming tls init is done. There are two
   // more checks: MKLDNN disabled and C10_MOBILE, if any of them is true we
   // won't be hitting this assertion error. However in `torch-cpp` lib both