add torch frontend erf (#14113)

Transpile-AI · Apr 30, 2023 · e64d5d1 · e64d5d1
1 parent 56305e5
commit e64d5d1
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diff --git a/ivy/functional/frontends/torch/pointwise_ops.py b/ivy/functional/frontends/torch/pointwise_ops.py
@@ -504,6 +504,12 @@ def logit(input, eps=None, *, out=None):
     return ivy.log(ivy.divide(input, ivy.subtract(1, input), out=out), out=out)
 
 
+@with_unsupported_dtypes({"1.11.0 and below": ("float16", "complex")}, "torch")
+@to_ivy_arrays_and_back
+def erf(input, *, out=None):
+    return ivy.erf(input, out=out)
+
+
 @to_ivy_arrays_and_back
 def sgn(input, *, out=None):
     if ivy.is_complex_dtype(input.dtype):

diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py
@@ -2397,6 +2397,32 @@ def test_torch_logit(
     )
 
 
+# erf
+@handle_frontend_test(
+    fn_tree="torch.erf",
+    dtype_and_x=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+    ),
+)
+def test_torch_erf(
+    *,
+    dtype_and_x,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=x[0],
+    )
+
+
 @handle_frontend_test(
     fn_tree="torch.sgn",
     dtype_and_input=helpers.dtype_and_values(