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Merged
zingo merged 2 commits into from
Dec 15, 2025
Merged

Arm backend: Update vgf ops tests [Part 1] #16245

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7a29b99
Arm backend: Update vgf ops tests [Part 1]
oscarandersson8218 Dec 9, 2025
39ecbdf
Arm backend: Update missed test cases
oscarandersson8218 Dec 15, 2025
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12 changes: 8 additions & 4 deletions backends/arm/test/ops/test_abs.py
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Expand Up @@ -77,21 +77,25 @@ def test_abs_u85_INT(test_data: torch.Tensor):

@common.parametrize("test_data", Abs.test_parameters)
@common.SkipIfNoModelConverter
def test_abs_vgf_FP(test_data: input_t1):
def test_abs_vgf_no_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Abs(), test_data(), aten_op, exir_op, tosa_version="TOSA-1.0+FP"
Abs(),
test_data(),
aten_op,
exir_op,
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Abs.test_parameters)
@common.SkipIfNoModelConverter
def test_abs_vgf_INT(test_data: input_t1):
def test_abs_vgf_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Abs(),
test_data(),
aten_op,
exir_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_acos.py
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Expand Up @@ -95,27 +95,27 @@ def test_acos_u85_INT(test_data: Tuple):

@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_acos_vgf_FP(test_data: Tuple):
def test_acos_vgf_no_quant(test_data: Tuple):
pipeline = VgfPipeline[input_t](
Acos(),
(test_data(),),
[],
[],
tosa_version="TOSA-1.0+FP",
run_on_vulkan_runtime=True,
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_acos_vgf_INT(test_data: Tuple):
def test_acos_vgf_quant(test_data: Tuple):
pipeline = VgfPipeline[input_t](
Acos(),
(test_data(),),
[],
[],
tosa_version="TOSA-1.0+INT",
run_on_vulkan_runtime=True,
quantize=True,
)
pipeline.run()
8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_acosh.py
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Expand Up @@ -115,23 +115,23 @@ def test_acosh_u85_INT_xfail(test_data: Tuple):

@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_acosh_vgf_FP(test_data: Tuple):
def test_acosh_vgf_no_quant(test_data: Tuple):
pipeline = VgfPipeline[input_t](
Acosh(),
(test_data(),),
aten_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_acosh_vgf_INT(test_data: Tuple):
def test_acosh_vgf_quant(test_data: Tuple):
pipeline = VgfPipeline[input_t](
Acosh(),
(test_data(),),
aten_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_adaptive_avg_pool2d.py
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Expand Up @@ -216,27 +216,27 @@ def test_adaptive_avg_pool2d_16a8w_u85_INT16(test_module):

@common.parametrize("test_module", test_modules)
@common.SkipIfNoModelConverter
def test_adaptive_avg_pool2d_vgf_FP(test_module):
def test_adaptive_avg_pool2d_vgf_no_quant(test_module):
model, input_tensor = test_module()
pipeline = VgfPipeline[input_t](
model,
input_tensor,
[],
exir_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_module", test_modules)
@common.SkipIfNoModelConverter
def test_adaptive_avg_pool2d_vgf_INT(test_module):
def test_adaptive_avg_pool2d_vgf_quant(test_module):
model, input_tensor = test_module()
pipeline = VgfPipeline[input_t](
model,
input_tensor,
[],
exir_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_add.py
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Expand Up @@ -202,28 +202,28 @@ def test_add_tensor_u85_INT_2(test_data: input_t2):

@common.parametrize("test_data", Add.test_data)
@common.SkipIfNoModelConverter
def test_add_tensor_vgf_FP(test_data: input_t1):
def test_add_tensor_vgf_no_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Add(),
test_data(),
aten_op,
exir_op,
tosa_version="TOSA-1.0+FP",
run_on_vulkan_runtime=True,
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Add.test_data)
@common.SkipIfNoModelConverter
def test_add_tensor_vgf_INT(test_data: input_t1):
def test_add_tensor_vgf_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Add(),
test_data(),
aten_op,
exir_op,
tosa_version="TOSA-1.0+INT",
run_on_vulkan_runtime=True,
quantize=True,
)
pipeline.run()

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8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_addmm.py
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Expand Up @@ -167,26 +167,26 @@ def test_addmm_u85_INT(test_data: Tuple):

@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_addmm_vgf_FP(test_data: input_t1):
def test_addmm_vgf_no_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Addmm(),
(*test_data,),
aten_op=aten_op,
exir_op=exir_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_addmm_vgf_INT(test_data: input_t1):
def test_addmm_vgf_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Addmm(),
(*test_data,),
aten_op=[],
exir_op=exir_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()

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8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_alias_copy.py
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Expand Up @@ -90,25 +90,25 @@ def test_alias_u85_INT(test_data: input_t1):

@common.parametrize("test_data", AliasCopy.test_data)
@common.SkipIfNoModelConverter
def test_alias_vgf_FP(test_data: input_t1):
def test_alias_vgf_no_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
AliasCopy(),
test_data(),
AliasCopy.aten_op,
AliasCopy.exir_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", AliasCopy.test_data)
@common.SkipIfNoModelConverter
def test_alias_vgf_INT(test_data: input_t1):
def test_alias_vgf_quant(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
AliasCopy(),
test_data(),
AliasCopy.aten_op,
AliasCopy.exir_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
16 changes: 8 additions & 8 deletions backends/arm/test/ops/test_amax.py
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Expand Up @@ -139,53 +139,53 @@ def test_max_dim_tosa_FP_not_delegated():

@common.parametrize("test_data", Amax.test_data)
@common.SkipIfNoModelConverter
def test_amax_vgf_FP(test_data: Amax.input_t):
def test_amax_vgf_no_quant(test_data: Amax.input_t):
data, dim, keep_dims = test_data()
module = Amax(dim, keep_dims)
pipeline = VgfPipeline[Amax.input_t](
module,
data,
Amax.aten_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Amax.test_data)
@common.SkipIfNoModelConverter
def test_amax_vgf_INT(test_data: Amax.input_t):
def test_amax_vgf_quant(test_data: Amax.input_t):
data, dim, keep_dims = test_data()
module = Amax(dim, keep_dims)
pipeline = VgfPipeline[Amax.input_t](
module,
data,
Amax.aten_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()


@common.parametrize("test_data", Max.test_data)
@common.SkipIfNoModelConverter
def test_max_dim_vgf_FP_to_amax(test_data: Max.input_t):
def test_max_dim_to_amax_vgf_no_quant(test_data: Max.input_t):
data, dim = test_data()
pipeline = VgfPipeline[Max.input_t](
Max(dim),
data,
"torch.ops.aten.max",
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Max.test_data)
@common.SkipIfNoModelConverter
def test_max_dim_vgf_INT_to_amax(test_data: Max.input_t):
def test_max_dim_to_amax_vgf_quant(test_data: Max.input_t):
data, dim = test_data()
pipeline = VgfPipeline[Max.input_t](
Max(dim),
data,
"torch.ops.aten.amax",
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
19 changes: 11 additions & 8 deletions backends/arm/test/ops/test_amin.py
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Expand Up @@ -155,48 +155,51 @@ def test_min_dim_tosa_FP_not_delegated():

@common.parametrize("test_data", Amin.test_data)
@common.SkipIfNoModelConverter
def test_amin_vgf_FP(test_data: Amin.input_t):
def test_amin_vgf_no_quant(test_data: Amin.input_t):
data, dim, keep_dims = test_data()
pipeline = VgfPipeline[Amin.input_t](
Amin(dim, keep_dims), data, Amin.aten_op, tosa_version="TOSA-1.0+FP"
Amin(dim, keep_dims),
data,
Amin.aten_op,
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Amin.test_data)
@common.SkipIfNoModelConverter
def test_amin_vgf_INT(test_data: Amin.input_t):
def test_amin_vgf_quant(test_data: Amin.input_t):
data, dim, keep_dims = test_data()
pipeline = VgfPipeline[Amin.input_t](
Amin(dim, keep_dims),
data,
Amin.aten_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()


@common.parametrize("test_data", Min.test_data)
@common.SkipIfNoModelConverter
def test_min_dim_vgf_FP_to_amin(test_data: Min.input_t):
def test_min_dim_to_amin_vgf_no_quant(test_data: Min.input_t):
data, dim = test_data()
pipeline = VgfPipeline[Min.input_t](
Min(dim),
data,
"torch.ops.aten.min",
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", Min.test_data)
@common.SkipIfNoModelConverter
def test_min_dim_vgf_INT_to_amin(test_data: Min.input_t):
def test_min_dim_to_amin_vgf_quant(test_data: Min.input_t):
data, dim = test_data()
pipeline = VgfPipeline[Min.input_t](
Min(dim),
data,
"torch.ops.aten.amin",
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
8 changes: 4 additions & 4 deletions backends/arm/test/ops/test_any.py
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Expand Up @@ -184,27 +184,27 @@ def test_any_u85_INT(test_data: input_t1):

@common.parametrize("test_data", test_data)
@common.SkipIfNoModelConverter
def test_any_vgf_FP(test_data: input_t1):
def test_any_vgf_no_quant(test_data: input_t1):
op, data_fn = test_data()
pipeline = VgfPipeline[input_t1](
op,
data_fn(),
op.aten_op,
op.exir_op,
tosa_version="TOSA-1.0+FP",
quantize=False,
)
pipeline.run()


@common.parametrize("test_data", test_data)
@common.SkipIfNoModelConverter
def test_any_vgf_INT(test_data: input_t1):
def test_any_vgf_quant(test_data: input_t1):
op, data_fn = test_data()
pipeline = VgfPipeline[input_t1](
op,
data_fn(),
op.aten_op,
op.exir_op,
tosa_version="TOSA-1.0+INT",
quantize=True,
)
pipeline.run()
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