refactor: Added an extra condition to avoid unneccesary ivy.astype ca…

…ll in ivy.dropout's backends
ivy-llc · Nov 8, 2023 · 567093e · 567093e
1 parent 2d95392
commit 567093e
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/ivy/functional/backends/tensorflow/experimental/layers.py b/ivy/functional/backends/tensorflow/experimental/layers.py
@@ -723,7 +723,7 @@ def dropout(
     noise_shape: Optional[Sequence[int]] = None,
     out: Optional[Union[tf.Tensor, tf.Variable]] = None,
 ) -> Union[tf.Tensor, tf.Variable]:
-    x = ivy.astype(x, dtype) if dtype else x
+    x = ivy.astype(x, dtype) if dtype and x.dtype != dtype else x
     res = tf.nn.dropout(x, prob, noise_shape=noise_shape, seed=seed) if training else x
     res = res if scale else tf.multiply(res, (1.0 - prob))
     return res

diff --git a/ivy/functional/backends/torch/experimental/layers.py b/ivy/functional/backends/torch/experimental/layers.py
@@ -774,7 +774,7 @@ def dropout(
     noise_shape: Optional[Sequence[int]] = None,
     out: Optional[torch.Tensor] = None,
 ) -> torch.Tensor:
-    x = ivy.astype(x, dtype) if dtype else x
+    x = ivy.astype(x, dtype) if dtype and x.dtype != dtype else x
     res = torch.nn.functional.dropout(x, prob, training=training)
     res = res if scale else torch.multiply(res, (1.0 - prob))
     return res