Add a workaround script for arm64 tch-rs build issue (tracel-ai#180)

.gitignore

@@ -2,3 +2,5 @@ target
 Cargo.lock
 # These are backup files generated by rustfmt
 **/*.rs.bk
+.DS_Store
+burn-tch/.cargo/config.toml

burn-tch/Cargo.toml

@@ -18,7 +18,14 @@ burn-tensor = {path = "../burn-tensor"}
 half = {workspace = true}
 lazy_static = {workspace = true}
 rand = {workspace = true, features = ["std"]}
-tch = {version = "0.10.1"}
+
+[target.'cfg(not(target_arch = "aarch64"))'.dependencies]
+tch = {version = "0.10.3"}
+
+# Temporary workaround for https://github.com/burn-rs/burn/issues/180
+# Remove this and build.rs once tch-rs upgrades to Torch 2.0 at least
+[target.'cfg(target_arch = "aarch64")'.dependencies]
+tch = {version = "0.10.3", default-features = false} # Disables torch downloading
 
 [dev-dependencies]
 burn-autodiff = {path = "../burn-autodiff", default-features = false, features = [

burn-tch/build.rs

@@ -0,0 +1,15 @@
+use std::env;
+fn main() {
+    // Temporary workaround for https://github.com/burn-rs/burn/issues/180
+    // Remove this once tch-rs upgrades to Torch 2.0 at least
+
+    if cfg!(all(target_arch = "aarch64", target_os = "macos")) {
+        let message = "Run scripts/fix-tch-build-arm64.py to fix environment variables for torch";
+        env::var("LIBTORCH").expect(message);
+        env::var("DYLD_LIBRARY_PATH").expect(message);
+    } else if cfg!(all(target_arch = "aarch64", target_os = "linux")) {
+        let message = "Libtorch for AARCH64 Linux must be manually installed and set up";
+        env::var("LIBTORCH").expect(message);
+        env::var("DYLD_LIBRARY_PATH").expect(message);
+    }
+}

scripts/fix-tch-build-arm64.py

@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+This is a helper script to fix burn-tch build issues on Mac M1/M2 machines.
+
+It's a temporary workaround for https://github.com/burn-rs/burn/issues/180 
+till tch-rs starts using Torch 2.0 libraries.
+
+This script installs torch via pip3 and creates environment variables in 
+burn-tch/.cargo/config.toml for tch-rs to link cc libs properly.
+
+
+"""
+
+import os
+import pathlib
+
+
+def torch_path():
+    import torch
+    return pathlib.Path(torch.__file__).parent
+
+
+def update_toml_config():
+    import tomli
+    import tomli_w
+
+    cargo_cfg_dir = pathlib.Path(__file__).parent.parent.joinpath(
+        "burn-tch/.cargo").resolve()
+    cargo_cfg_dir.exists()
+    if not cargo_cfg_dir.exists():
+        os.makedirs(cargo_cfg_dir)
+
+    toml_file_path = cargo_cfg_dir.joinpath("config.toml")
+
+    # Create toml file if does not exists
+    with open(toml_file_path, 'a') as f:
+        pass
+
+    with open(toml_file_path, 'rb') as f:
+        config = tomli.load(f)
+
+        config["env"] = config.get("env", dict())
+
+        config["env"]["LIBTORCH"] = dict(
+            value="{}".format(torch_path()),
+            force=True,
+        )
+
+        config["env"]["DYLD_LIBRARY_PATH"] = dict(
+            value="{}/lib".format(torch_path()),
+            force=True,
+        )
+
+    with open(toml_file_path, 'wb') as f:
+        tomli_w.dump(config, f)
+
+
+def main():
+    print("Installing/Upgrading torch via pip install ...")
+    os.system("pip3 install -U torch")
+    os.system("pip3 install -U tomli")
+    os.system("pip3 install -U tomli-w")
+
+    print("Updating config.toml with torch library paths ... ")
+    update_toml_config()
+
+
+if __name__ == '__main__':
+    main()