auto-lint code

ivy/functional/backends/jax/gradients.py

@@ -145,13 +145,15 @@ def stop_gradient(
 ) -> JaxArray:
     return jlax.stop_gradient(x)
 
+
 def requires_gradient(
     x: JaxArray,
-   ) -> bool:
-   if isinstance(x, jax.core.Tracer):
-    # JAX tracers indicate whether a value is being traced for gradients
-    return True
-   return False
+) -> bool:
+    if isinstance(x, jax.core.Tracer):
+        # JAX tracers indicate whether a value is being traced for gradients
+        return True
+    return False
+
 
 def jac(func: Callable):
     def grad_fn(x_in):

ivy/functional/backends/numpy/gradients.py

@@ -21,9 +21,12 @@ def is_variable(x, /, *, exclusive=False):
     return False
 
 
-def requires_gradient(x,) -> bool:
+def requires_gradient(
+    x,
+) -> bool:
     return False
 
+
 def variable_data(x, /):
     return x
 

ivy/functional/backends/tensorflow/gradients.py

@@ -171,9 +171,10 @@ def stop_gradient(
         return variable(x)
     return x
 
+
 def requires_gradient(
     x: Union[tf.Tensor, tf.Variable],
-   ) -> bool:
+) -> bool:
     is_var = is_variable(x)
     if is_var:
         return x.trainable

ivy/functional/backends/torch/gradients.py

@@ -182,9 +182,10 @@ def stop_gradient(
         return x
     return x.detach()
 
+
 def requires_gradient(
     x: Optional[torch.Tensor],
-   ) -> bool:
+) -> bool:
     is_var = is_variable(x)
     if is_var:
         return x.requires_grad

ivy/functional/ivy/gradients.py

@@ -455,9 +455,10 @@ def requires_gradient(
     -------
     ret
         A boolean indicating whether gradient computation is enabled for the input array.
-
     """
     return current_backend(x).requires_gradient(x)
+
+
 # AutoGrad #