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Add digamma function for Tensorflow frontend #21989

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Add digamma function for Tensorflow frontend #21989

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5 changes: 5 additions & 0 deletions ivy/functional/frontends/tensorflow/math.py
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Original file line number Diff line number Diff line change
Expand Up @@ -813,3 +813,8 @@ def l2_normalize(x, axis=None, epsilon=1e-12, name=None):
@to_ivy_arrays_and_back
def softsign(features, name=None):
return ivy.divide(features, ivy.abs(features) + 1)


@to_ivy_arrays_and_back
def digamma(x, name=None):
return ivy.digamma(x)
28 changes: 28 additions & 0 deletions ivy_tests/test_ivy/test_frontends/test_tensorflow/test_math.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3200,3 +3200,31 @@ def test_tensorflow_softsign(
on_device=on_device,
features=x[0],
)


@handle_frontend_test(
fn_tree="tensorflow.math.digamma",
dtype_and_x=helpers.dtype_and_values(
available_dtypes=["float32", "float64"],
),
test_with_out=st.just(False),
)
def test_tensorflow_digamma(
*,
dtype_and_x,
on_device,
fn_tree,
backend_fw,
frontend,
test_flags,
):
input_dtype, x = dtype_and_x
helpers.test_frontend_function(
input_dtypes=input_dtype,
frontend=frontend,
backend_to_test=backend_fw,
test_flags=test_flags,
fn_tree=fn_tree,
on_device=on_device,
x=x[0],
)
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