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Getting the stateful tests up and running #28438

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Getting the stateful tests up and running #28438

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6746684
gh
soma2000-lang Feb 27, 2024
2cd999e
fix
soma2000-lang Feb 27, 2024
1d38f65
all functions
soma2000-lang Mar 7, 2024
a4d05c0
all functions
soma2000-lang Mar 7, 2024
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9 changes: 4 additions & 5 deletions ivy_tests/test_ivy/helpers/testing_helpers.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -664,7 +664,9 @@ def handle_method(
)

if init_num_positional_args is None:
init_num_positional_args = num_positional_args(fn_name=init_tree)
init_num_positional_args = num_positional_args(
fn_name=method_tree.rpartition(".")[0]
)

possible_arguments["init_flags"] = pf.init_method_flags(
num_positional_args=init_num_positional_args,
Expand All @@ -673,10 +675,7 @@ def handle_method(
precision_mode=_get_runtime_flag_value(precision_mode),
)

if method_num_positional_args is None:
method_num_positional_args = num_positional_args_method(
method=callable_method
)
method_num_positional_args = num_positional_args_method(method=callable_method)

possible_arguments["method_flags"] = pf.method_flags(
num_positional_args=method_num_positional_args,
Expand Down
56 changes: 26 additions & 30 deletions ivy_tests/test_ivy/test_stateful/test_activations.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="ELU._forward"),
method_num_positional_args=helpers.num_positional_args(method="ELU._forward"),
test_gradients=st.just(True),
alpha=helpers.floats(min_value=0.1, max_value=1),
)
Expand All @@ -45,8 +45,8 @@ def test_elu(
method_flags=method_flags,
init_input_dtypes=input_dtype,
method_input_dtypes=input_dtype,
init_all_as_kwargs_np={},
method_all_as_kwargs_np={"x": x[0], "alpha": alpha},
init_all_as_kwargs_np={"alpha": alpha},
method_all_as_kwargs_np={"x": x[0]},
class_name=class_name,
method_name=method_name,
rtol_=1e-2,
Expand All @@ -66,7 +66,7 @@ def test_elu(
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="GEGLU._forward"),
method_num_positional_args=helpers.num_positional_args(method="GEGLU._forward"),
test_gradients=st.just(True),
)
def test_geglu(
Expand Down Expand Up @@ -112,7 +112,7 @@ def test_geglu(
safety_factor_scale="linear",
),
approximate=st.booleans(),
method_num_positional_args=helpers.num_positional_args(fn_name="GELU._forward"),
method_num_positional_args=helpers.num_positional_args(method="GELU._forward"),
test_gradients=st.just(True),
)
def test_gelu(
Expand Down Expand Up @@ -157,9 +157,7 @@ def test_gelu(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(
fn_name="Hardswish._forward"
),
method_num_positional_args=helpers.num_positional_args(method="Hardswish._forward"),
test_gradients=st.just(True),
)
def test_hardswish(
Expand Down Expand Up @@ -204,9 +202,7 @@ def test_hardswish(
safety_factor_scale="log",
),
alpha=st.floats(min_value=-1e-4, max_value=1e-4),
method_num_positional_args=helpers.num_positional_args(
fn_name="LeakyReLU._forward"
),
method_num_positional_args=helpers.num_positional_args(method="LeakyReLU._forward"),
test_gradients=st.just(True),
)
def test_leaky_relu(
Expand Down Expand Up @@ -253,7 +249,7 @@ def test_leaky_relu(
),
axis=helpers.ints(min_value=-1, max_value=0),
method_num_positional_args=helpers.num_positional_args(
fn_name="LogSoftmax._forward"
method="LogSoftmax._forward"
),
test_gradients=st.just(True),
)
Expand Down Expand Up @@ -299,7 +295,7 @@ def test_log_softmax(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(fn_name="Logit._forward"),
method_num_positional_args=helpers.num_positional_args(method="Logit._forward"),
eps=helpers.floats(min_value=1e-4, max_value=1e-2),
test_gradients=st.just(True),
)
Expand All @@ -324,8 +320,8 @@ def test_logit(
method_flags=method_flags,
init_input_dtypes=input_dtype,
method_input_dtypes=input_dtype,
init_all_as_kwargs_np={},
method_all_as_kwargs_np={"x": x[0], "eps": eps},
init_all_as_kwargs_np={"eps": eps},
method_all_as_kwargs_np={"x": x[0]},
class_name=class_name,
method_name=method_name,
rtol_=1e-2,
Expand All @@ -346,7 +342,7 @@ def test_logit(
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(
fn_name="LogSigmoid._forward"
method="LogSigmoid._forward"
),
test_gradients=st.just(True),
)
Expand Down Expand Up @@ -389,7 +385,7 @@ def test_logsigmoid(
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="Mish._forward"),
method_num_positional_args=helpers.num_positional_args(method="Mish._forward"),
test_gradients=st.just(True),
)
def test_mish(
Expand Down Expand Up @@ -435,7 +431,7 @@ def test_mish(
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="PReLU._forward"),
method_num_positional_args=helpers.num_positional_args(method="PReLU._forward"),
test_gradients=st.just(True),
)
def test_prelu(
Expand Down Expand Up @@ -477,7 +473,7 @@ def test_prelu(
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="ReLU._forward"),
method_num_positional_args=helpers.num_positional_args(method="ReLU._forward"),
test_gradients=st.just(True),
)
def test_relu(
Expand Down Expand Up @@ -521,7 +517,7 @@ def test_relu(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(fn_name="ReLU6._forward"),
method_num_positional_args=helpers.num_positional_args(method="ReLU6._forward"),
test_gradients=st.just(True),
)
def test_relu6(
Expand Down Expand Up @@ -565,7 +561,7 @@ def test_relu6(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(fn_name="SeLU._forward"),
method_num_positional_args=helpers.num_positional_args(method="SeLU._forward"),
test_gradients=st.just(True),
)
def test_selu(
Expand Down Expand Up @@ -609,7 +605,7 @@ def test_selu(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(fn_name="Sigmoid._forward"),
method_num_positional_args=helpers.num_positional_args(method="Sigmoid._forward"),
test_gradients=st.just(True),
)
def test_sigmoid(
Expand Down Expand Up @@ -651,7 +647,7 @@ def test_sigmoid(
small_abs_safety_factor=8,
safety_factor_scale="log",
),
method_num_positional_args=helpers.num_positional_args(fn_name="SiLU._forward"),
method_num_positional_args=helpers.num_positional_args(method="SiLU._forward"),
test_gradients=st.just(True),
)
def test_silu(
Expand Down Expand Up @@ -695,7 +691,7 @@ def test_silu(
safety_factor_scale="log",
),
axis=helpers.ints(min_value=-1, max_value=0),
method_num_positional_args=helpers.num_positional_args(fn_name="Softmax._forward"),
method_num_positional_args=helpers.num_positional_args(method="Softmax._forward"),
test_gradients=st.just(True),
)
def test_softmax(
Expand All @@ -719,8 +715,8 @@ def test_softmax(
method_flags=method_flags,
init_input_dtypes=input_dtype,
method_input_dtypes=input_dtype,
init_all_as_kwargs_np={},
method_all_as_kwargs_np={"x": x[0], "axis": axis},
init_all_as_kwargs_np={"axis": axis},
method_all_as_kwargs_np={"x": x[0]},
class_name=class_name,
method_name=method_name,
rtol_=1e-2,
Expand All @@ -741,7 +737,7 @@ def test_softmax(
),
beta=st.one_of(helpers.number(min_value=0.1, max_value=10), st.none()),
threshold=st.one_of(helpers.number(min_value=0.1, max_value=30), st.none()),
method_num_positional_args=helpers.num_positional_args(fn_name="Softplus._forward"),
method_num_positional_args=helpers.num_positional_args(method="Softplus._forward"),
test_gradients=st.just(True),
)
def test_softplus(
Expand All @@ -766,8 +762,8 @@ def test_softplus(
method_flags=method_flags,
init_input_dtypes=input_dtype,
method_input_dtypes=input_dtype,
init_all_as_kwargs_np={},
method_all_as_kwargs_np={"x": x[0], "beta": beta, "threshold": threshold},
init_all_as_kwargs_np={"beta": beta, "threshold": threshold},
method_all_as_kwargs_np={"x": x[0]},
class_name=class_name,
method_name=method_name,
rtol_=1e-2,
Expand All @@ -787,7 +783,7 @@ def test_softplus(
safety_factor_scale="log",
min_num_dims=2,
),
method_num_positional_args=helpers.num_positional_args(fn_name="Tanh._forward"),
method_num_positional_args=helpers.num_positional_args(method="Tanh._forward"),
test_gradients=st.just(True),
)
def test_tanh(
Expand Down
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