Fix for clip (ivy-llc#13067)

chrysfay · Mar 24, 2023 · b36fed4 · b36fed4
1 parent 3cef1bb
commit b36fed4
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diff --git a/ivy/functional/backends/jax/manipulation.py b/ivy/functional/backends/jax/manipulation.py
@@ -191,9 +191,6 @@ def clip(
     *,
     out: Optional[JaxArray] = None,
 ) -> JaxArray:
-    ivy.utils.assertions.check_less(
-        x_min, x_max, message="min values must be less than max"
-    )
     if (
         hasattr(x_min, "dtype")
         and hasattr(x_max, "dtype")

diff --git a/ivy/functional/backends/numpy/manipulation.py b/ivy/functional/backends/numpy/manipulation.py
@@ -293,9 +293,6 @@ def clip(
     *,
     out: Optional[np.ndarray] = None,
 ) -> np.ndarray:
-    ivy.utils.assertions.check_less(
-        ivy.array(x_min), ivy.array(x_max), message="min values must be less than max"
-    )
     return np.asarray(np.clip(x, x_min, x_max, out=out), dtype=x.dtype)
 
 

diff --git a/ivy/functional/backends/tensorflow/manipulation.py b/ivy/functional/backends/tensorflow/manipulation.py
@@ -319,9 +319,6 @@ def clip(
     *,
     out: Optional[Union[tf.Tensor, tf.Variable]] = None,
 ) -> Union[tf.Tensor, tf.Variable]:
-    ivy.utils.assertions.check_less(
-        x_min, x_max, message="min values must be less than max"
-    )
     if hasattr(x_min, "dtype") and hasattr(x_max, "dtype"):
         promoted_type = ivy.as_native_dtype(ivy.promote_types(x.dtype, x_min.dtype))
         promoted_type = ivy.as_native_dtype(

diff --git a/ivy/functional/backends/torch/manipulation.py b/ivy/functional/backends/torch/manipulation.py
@@ -345,9 +345,6 @@ def clip(
     *,
     out: Optional[torch.Tensor] = None,
 ) -> torch.Tensor:
-    ivy.utils.assertions.check_less(
-        x_min, x_max, message="min values must be less than max"
-    )
     if hasattr(x_min, "dtype"):
         promoted_type = torch.promote_types(x_min.dtype, x_max.dtype)
         promoted_type = torch.promote_types(promoted_type, x.dtype)