fix (all backends)(data_type.py): added the Finfo fix to all backend …

…implementations

ivy/functional/backends/jax/data_type.py

@@ -109,6 +109,15 @@ def min(self):
     def smallest_normal(self):
         return float(self._jnp_finfo.tiny)
 
+    def __getattribute__(self, name):
+        try:
+            # Try to get the attribute from the Finfo class
+            return super().__getattribute__(name)
+        except AttributeError:
+            # If the attribute doesn't exist in Finfo, try to get it from _jnp_finfo
+            jnp_finfo = super().__getattribute__("_jnp_finfo")
+            return getattr(jnp_finfo, name)
+
 
 # Array API Standard #
 # -------------------#

ivy/functional/backends/numpy/data_type.py

@@ -107,6 +107,15 @@ def min(self):
     def smallest_normal(self):
         return float(self._np_finfo.tiny)
 
+    def __getattribute__(self, name):
+        try:
+            # Try to get the attribute from the Finfo class
+            return super().__getattribute__(name)
+        except AttributeError:
+            # If the attribute doesn't exist in Finfo, try to get it from _np_finfo
+            np_finfo = super().__getattribute__("_np_finfo")
+            return getattr(np_finfo, name)
+
 
 # Array API Standard #
 # -------------------#

ivy/functional/backends/paddle/data_type.py

@@ -68,6 +68,15 @@ def min(self):
     def smallest_normal(self):
         return float(self._paddle_finfo.tiny)
 
+    def __getattribute__(self, name):
+        try:
+            # Try to get the attribute from the Finfo class
+            return super().__getattribute__(name)
+        except AttributeError:
+            # If the attribute doesn't exist in Finfo, try to get it from _paddle_finfo
+            paddle_finfo = super().__getattribute__("_paddle_finfo")
+            return getattr(paddle_finfo, name)
+
 
 class Iinfo:
     def __init__(self, paddle_iinfo: np.iinfo):

ivy/functional/backends/torch/data_type.py

@@ -67,6 +67,15 @@ def min(self):
     def smallest_normal(self):
         return self._torch_finfo.tiny
 
+    def __getattribute__(self, name):
+        try:
+            # Try to get the attribute from the Finfo class
+            return super().__getattribute__(name)
+        except AttributeError:
+            # If the attribute doesn't exist in Finfo, try to get it from _torch_finfo
+            torch_finfo = super().__getattribute__("_torch_finfo")
+            return getattr(torch_finfo, name)
+
 
 # Array API Standard #
 # -------------------#