Add Intel macOS check; update docs

README.md

@@ -19,7 +19,7 @@ It supports a wide range of models including LLMs (Large Language Models), CV (C
 Platform Support:
 - Operating Systems:
   - iOS
-  - Mac
+  - MacOS (ARM64)
   - Android
   - Linux
   - Microcontrollers

docs/source/backends-xnnpack.md

@@ -14,7 +14,7 @@ The XNNPACK delegate is the ExecuTorch solution for CPU execution on mobile CPUs
 - ARM64 on Android, iOS, macOS, Linux, and Windows.
 - ARMv7 (with NEON) on Android.
 - ARMv6 (with VFPv2) on Linux.
-- x86 and x86-64 (up to AVX512) on Windows, Linux, macOS, Android, and iOS simulator.
+- x86 and x86-64 (up to AVX512) on Windows, Linux, and Android.
 
 ## Development Requirements
 

docs/source/getting-started.md

@@ -10,7 +10,7 @@ The following are required to install the ExecuTorch host libraries, needed to e
 
 - Python 3.10 - 3.12
 - g++ version 7 or higher, clang++ version 5 or higher, or another C++17-compatible toolchain.
-- Linux or MacOS operating system (Arm or x86).
+- - Linux (x86_64 or ARM64) or macOS (ARM64).
   - Windows is supported via WSL.
 
 ## Installation

docs/source/using-executorch-building-from-source.md

@@ -16,7 +16,7 @@ Linux (x86_64)
 - Ubuntu 20.04.6 LTS+
 - RHEL 8+
 
-macOS (x86_64/M1/M2)
+macOS (ARM64)
 - Big Sur (11.0)+
 
 Windows (x86_64)

docs/source/using-executorch-ios.md

@@ -1,6 +1,6 @@
 # Using ExecuTorch on iOS
 
-ExecuTorch supports both iOS and macOS via Objective-C, Swift, and C++. ExecuTorch also provides backends to leverage Core ML and Metal Performance Shaders (MPS) for hardware-accelerated execution on Apple platforms.
+ExecuTorch supports both iOS and macOS (ARM64) via Objective-C, Swift, and C++. ExecuTorch also provides backends to leverage Core ML and Metal Performance Shaders (MPS) for hardware-accelerated execution on Apple platforms.
 
 ## Integration
 

install_requirements.py

@@ -58,6 +58,22 @@ def python_is_compatible():
     return True
 
 
+# PyTorch stopped building macOS x86_64 binaries starting with version 2.3.0 (January 2024).
+def is_intel_mac_os():
+    # Returns True if running on macOS with an Intel-based CPU.
+    if platform.system().lower() == "darwin" and platform.machine().lower() in (
+        "x86",
+        "x86_64",
+        "i386",
+    ):
+        print(
+            "ERROR: ExecuTorch does not support Intel-based macOS platforms.",
+            file=sys.stderr,
+        )
+        return True
+    return False
+
+
 # The pip repository that hosts nightly torch packages.
 TORCH_NIGHTLY_URL = "https://download.pytorch.org/whl/nightly/cpu"
 
@@ -153,6 +169,8 @@ def main(args):
 if __name__ == "__main__":
     # Before doing anything, cd to the directory containing this script.
     os.chdir(os.path.dirname(os.path.abspath(__file__)))
+    if is_intel_mac_os():
+        sys.exit(1)
     if not python_is_compatible():
         sys.exit(1)
     main(sys.argv[1:])