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add torch frontend erf #14113

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merged 2 commits into from
Apr 30, 2023
Merged

add torch frontend erf #14113

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17ecfcd
add torch frontend erf
binh234 Apr 13, 2023
7208d6e
Merge branch 'master' into torch_erf
binh234 Apr 21, 2023
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6 changes: 6 additions & 0 deletions ivy/functional/frontends/torch/pointwise_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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):
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26 changes: 26 additions & 0 deletions ivy_tests/test_ivy/test_frontends/test_torch/test_pointwise_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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(
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