From 766c51a8a1ed8c616fd1db4360803e7eb31ad0b1 Mon Sep 17 00:00:00 2001
From: Jamie Pine <ijamespine@me.com>
Date: Sun, 26 Jul 2026 23:15:53 -0700
Subject: [PATCH] fix(backend): numpy compat hook silently failed to patch
 torch

dtype_map referenced _t, which is only bound as a default argument on
the inner function, so building the map raised NameError. The
surrounding except swallowed it and returned, meaning the from_numpy
fallback this hook exists for never applied in frozen builds.
---
 backend/pyi_rth_numpy_compat.py | 23 ++++++++++++-----------
 1 file changed, 12 insertions(+), 11 deletions(-)

diff --git a/backend/pyi_rth_numpy_compat.py b/backend/pyi_rth_numpy_compat.py
index 683f4dea..ecf9f7a9 100644
--- a/backend/pyi_rth_numpy_compat.py
+++ b/backend/pyi_rth_numpy_compat.py
@@ -44,6 +44,7 @@ def _patch_torch_from_numpy():
             return
         try:
             import ctypes
+
             import numpy as np
 
             _orig = torch.from_numpy
@@ -53,17 +54,17 @@ def _patch_torch_from_numpy():
             # silently corrupt data (e.g. fp16 tensors from some TTS engines),
             # so we raise instead.
             dtype_map = {
-                "float16": _t.float16,
-                "float32": _t.float32,
-                "float64": _t.float64,
-                "int8": _t.int8,
-                "int16": _t.int16,
-                "int32": _t.int32,
-                "int64": _t.int64,
-                "uint8": _t.uint8,
-                "bool": _t.bool,
-                "complex64": _t.complex64,
-                "complex128": _t.complex128,
+                "float16": torch.float16,
+                "float32": torch.float32,
+                "float64": torch.float64,
+                "int8": torch.int8,
+                "int16": torch.int16,
+                "int32": torch.int32,
+                "int64": torch.int64,
+                "uint8": torch.uint8,
+                "bool": torch.bool,
+                "complex64": torch.complex64,
+                "complex128": torch.complex128,
             }
 
             def _safe_from_numpy(