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Merged
merged 2 commits into from
Aug 4, 2025
Merged

Arm backend: Add VGF unit tests to operators (Part 1) #13032

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941f705
Arm backend: Add VGF unit tests to operators (Part 1)
YufengShi-dudu Jul 9, 2025
58fba6a
Merge branch 'main' into add-vgf-ops-tests-part1
YufengShi-dudu Aug 1, 2025
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23 changes: 23 additions & 0 deletions backends/arm/test/ops/test_abs.py
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Expand Up @@ -15,6 +15,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

aten_op = "torch.ops.aten.abs.default"
Expand Down Expand Up @@ -66,3 +67,25 @@ def test_abs_u85_INT(test_data: torch.Tensor):
Abs(), test_data(), aten_op, exir_op, run_on_fvp=True
)
pipeline.run()


@common.parametrize("test_data", Abs.test_parameters)
@common.SkipIfNoModelConverter
def test_abs_vgf_FP(test_data: input_t1):
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@digantdesai digantdesai Jul 31, 2025

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I like it how we are sharing tests across TOSA, Ethos, and now VGF backends. 👍

pipeline = VgfPipeline[input_t1](
Abs(), test_data(), aten_op, exir_op, tosa_version="TOSA-1.0+FP"
)
pipeline.run()


@common.parametrize("test_data", Abs.test_parameters)
@common.SkipIfNoModelConverter
def test_abs_vgf_INT(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Abs(),
test_data(),
aten_op,
exir_op,
tosa_version="TOSA-1.0+INT",
)
pipeline.run()
25 changes: 25 additions & 0 deletions backends/arm/test/ops/test_acosh.py
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Expand Up @@ -14,6 +14,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

input_t = Tuple[torch.Tensor] # Input x
Expand Down Expand Up @@ -112,3 +113,27 @@ def test_acosh_u85_INT_xfail(test_data: Tuple):
run_on_fvp=False,
)
pipeline.run()


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


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_acosh_vgf_INT(test_data: Tuple):
pipeline = VgfPipeline[input_t](
Acosh(),
(test_data(),),
aten_op,
tosa_version="TOSA-1.0+INT",
)
pipeline.run()
29 changes: 29 additions & 0 deletions backends/arm/test/ops/test_adaptive_avg_pool2d.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

exir_op = "executorch_exir_dialects_edge__ops_aten_avg_pool2d_default"
Expand Down Expand Up @@ -161,3 +162,31 @@ def test_adaptive_avg_pool2d_u85_INT(test_module):
exir_ops=exir_op,
)
pipeline.run()


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


@common.parametrize("test_module", test_modules)
@common.SkipIfNoModelConverter
def test_adaptive_avg_pool2d_vgf_INT(test_module):
model, input_tensor = test_module()
pipeline = VgfPipeline[input_t](
model,
input_tensor,
[],
exir_op,
tosa_version="TOSA-1.0+INT",
)
pipeline.run()
27 changes: 27 additions & 0 deletions backends/arm/test/ops/test_addmm.py
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Expand Up @@ -13,6 +13,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

aten_op = "torch.ops.aten.addmm.default"
Expand Down Expand Up @@ -155,3 +156,29 @@ def test_addmm_u85_INT(test_data: Tuple):
exir_ops=exir_op,
)
pipeline.run()


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_addmm_vgf_FP(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",
)
pipeline.run()


@common.parametrize("test_data", test_data_suite)
@common.SkipIfNoModelConverter
def test_addmm_vgf_INT(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
Addmm(),
(*test_data,),
aten_op=[],
exir_op=exir_op,
tosa_version="TOSA-1.0+INT",
)
pipeline.run()
27 changes: 27 additions & 0 deletions backends/arm/test/ops/test_alias_copy.py
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Expand Up @@ -12,6 +12,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

input_t1 = Tuple[torch.Tensor]
Expand Down Expand Up @@ -83,3 +84,29 @@ def test_alias_u85_INT(test_data: input_t1):
AliasCopy.aten_op,
AliasCopy.exir_op,
).run()


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


@common.parametrize("test_data", AliasCopy.test_data)
@common.SkipIfNoModelConverter
def test_alias_vgf_INT(test_data: input_t1):
pipeline = VgfPipeline[input_t1](
AliasCopy(),
test_data(),
AliasCopy.aten_op,
AliasCopy.exir_op,
tosa_version="TOSA-1.0+INT",
)
pipeline.run()
55 changes: 55 additions & 0 deletions backends/arm/test/ops/test_amax.py
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Expand Up @@ -14,6 +14,7 @@
OpNotSupportedPipeline,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)


Expand Down Expand Up @@ -138,3 +139,57 @@ def test_max_dim_tosa_FP_not_delegated():
data, dim = Max.test_data["rank_4_dim_3"]()
pipeline = OpNotSupportedPipeline[Max.input_t](MaxWithIndex(dim), data, {})
pipeline.run()


@common.parametrize("test_data", Amax.test_data)
@common.SkipIfNoModelConverter
def test_amax_vgf_FP(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",
)
pipeline.run()


@common.parametrize("test_data", Amax.test_data)
@common.SkipIfNoModelConverter
def test_amax_vgf_INT(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",
)
pipeline.run()


@common.parametrize("test_data", Max.test_data)
@common.SkipIfNoModelConverter
def test_max_dim_vgf_FP_to_amax(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",
)
pipeline.run()


@common.parametrize("test_data", Max.test_data)
@common.SkipIfNoModelConverter
def test_max_dim_vgf_INT_to_amax(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",
)
pipeline.run()
50 changes: 50 additions & 0 deletions backends/arm/test/ops/test_amin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
OpNotSupportedPipeline,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)


Expand Down Expand Up @@ -150,3 +151,52 @@ def test_min_dim_tosa_FP_not_delegated():
data, dim = Min.test_data["rank_4_dim_3"]()
pipeline = OpNotSupportedPipeline[Min.input_t](MinWithIndex(dim), data, {})
pipeline.run()


@common.parametrize("test_data", Amin.test_data)
@common.SkipIfNoModelConverter
def test_amin_vgf_FP(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"
)
pipeline.run()


@common.parametrize("test_data", Amin.test_data)
@common.SkipIfNoModelConverter
def test_amin_vgf_INT(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",
)
pipeline.run()


@common.parametrize("test_data", Min.test_data)
@common.SkipIfNoModelConverter
def test_min_dim_vgf_FP_to_amin(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",
)
pipeline.run()


@common.parametrize("test_data", Min.test_data)
@common.SkipIfNoModelConverter
def test_min_dim_vgf_INT_to_amin(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",
)
pipeline.run()
31 changes: 31 additions & 0 deletions backends/arm/test/ops/test_any.py
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Expand Up @@ -13,6 +13,7 @@
OpNotSupportedPipeline,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)


Expand Down Expand Up @@ -184,3 +185,33 @@ def test_any_u85_INT(test_data: input_t1):
pipeline.pop_stage("quantize")
pipeline.pop_stage("check.quant_nodes")
pipeline.run()


@common.parametrize("test_data", test_data)
@common.SkipIfNoModelConverter
def test_any_vgf_FP(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",
)
pipeline.run()


@common.parametrize("test_data", test_data)
@common.SkipIfNoModelConverter
def test_any_vgf_INT(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",
)
pipeline.pop_stage("quantize")
pipeline.pop_stage("check.quant_nodes")
pipeline.run()
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