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Arm backend: Added in VGF unit tests for models #13102

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Merged
merged 1 commit into from
Aug 6, 2025
Merged

Arm backend: Added in VGF unit tests for models #13102

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38 changes: 38 additions & 0 deletions backends/arm/test/models/test_conformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from torchaudio.models import Conformer
Expand Down Expand Up @@ -124,3 +125,40 @@ def test_conformer_u85_INT():
atol=5.0,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_conformer_vgf_INT():
pipeline = VgfPipeline[input_t](
TestConformer.conformer,
TestConformer.model_example_inputs,
aten_op=TestConformer.aten_ops,
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
)
pipeline.pop_stage("check_count.exir")

# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs",
# get_test_inputs(
# TestConformer.dim, TestConformer.lengths, TestConformer.num_examples
# ),
# rtol=1.0,
# atol=3.0,
# )
pipeline.run()


@common.SkipIfNoModelConverter
def test_conformer_vgf_FP():
pipeline = VgfPipeline[input_t](
TestConformer.conformer,
TestConformer.model_example_inputs,
aten_op=TestConformer.aten_ops,
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
pipeline.run()
31 changes: 31 additions & 0 deletions backends/arm/test/models/test_deit_tiny_arm.py
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Expand Up @@ -11,9 +11,12 @@

import torch

from executorch.backends.arm.test import common

from executorch.backends.arm.test.tester.test_pipeline import (
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
Expand Down Expand Up @@ -56,3 +59,31 @@ def test_deit_tiny_tosa_INT():
qtol=1,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_deit_tiny_vgf_INT():
pipeline = VgfPipeline[input_t](
deit_tiny,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
atol=1.5,
qtol=1,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_deit_tiny_vgf_FP():
pipeline = VgfPipeline[input_t](
deit_tiny,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
pipeline.run()
35 changes: 35 additions & 0 deletions backends/arm/test/models/test_dl3_arm.py
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Expand Up @@ -16,6 +16,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from executorch.examples.models import deeplab_v3
Expand Down Expand Up @@ -87,3 +88,37 @@ def test_dl3_u85_INT():
"run_method_and_compare_outputs", rtol=1.0, atol=1.0
) # TODO: MLETORCH-1036 decrease tolerance
pipeline.run()


@common.SkipIfNoModelConverter
def test_dl3_vgf_INT():
pipeline = VgfPipeline[input_t](
TestDl3.dl3,
TestDl3.model_example_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", rtol=1.0, atol=1.0
# )
pipeline.run()


@common.SkipIfNoModelConverter
def test_dl3_vgf_FP():
pipeline = VgfPipeline[input_t](
TestDl3.dl3,
TestDl3.model_example_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", rtol=1.0, atol=1.0
# )
pipeline.run()
42 changes: 41 additions & 1 deletion backends/arm/test/models/test_llama.py
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Expand Up @@ -17,10 +17,11 @@
import torch
from executorch.backends.arm._passes import InsertCastForOpsWithInt64InputPass

from executorch.backends.arm.test import conftest
from executorch.backends.arm.test import common, conftest
from executorch.backends.arm.test.tester.test_pipeline import (
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)
from executorch.examples.models.llama.export_llama_lib import (
build_args_parser,
Expand Down Expand Up @@ -131,3 +132,42 @@ def test_llama_tosa_INT():
use_to_edge_transform_and_lower=True,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_llama_vgf_FP():
llama_model, llama_inputs, llama_meta = TestLlama().prepare_model()

if llama_model is None or llama_inputs is None:
pytest.skip("Missing model and/or input files")

with torch.no_grad():
pipeline = VgfPipeline[input_t](
llama_model,
llama_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_llama_vgf_INT():
llama_model, llama_inputs, llama_meta = TestLlama().prepare_model()

if llama_model is None or llama_inputs is None:
pytest.skip("Missing model and/or input files")

with torch.no_grad():
pipeline = VgfPipeline[input_t](
llama_model,
llama_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
transform_passes=[InsertCastForOpsWithInt64InputPass()],
)
pipeline.run()
35 changes: 35 additions & 0 deletions backends/arm/test/models/test_lstm_arm.py
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Expand Up @@ -13,6 +13,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from torch.nn.quantizable.modules import rnn
Expand Down Expand Up @@ -98,3 +99,37 @@ def test_lstm_u85_INT():
"run_method_and_compare_outputs", get_test_inputs(), atol=3e-1, qtol=1.0
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_lstm_vgf_INT():
pipeline = VgfPipeline[input_t](
TestLSTM.lstm,
TestLSTM.model_example_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", get_test_inputs(), atol=3e-1, qtol=1.0
# )
pipeline.run()


@common.SkipIfNoModelConverter
def test_lstm_vgf_FP():
pipeline = VgfPipeline[input_t](
TestLSTM.lstm,
TestLSTM.model_example_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", get_test_inputs(), atol=3e-1, qtol=1.0
# )
pipeline.run()
39 changes: 39 additions & 0 deletions backends/arm/test/models/test_mobilenet_v2_arm.py
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Expand Up @@ -16,6 +16,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from torchvision import models, transforms # type: ignore[import-untyped]
Expand Down Expand Up @@ -94,3 +95,41 @@ def test_mv2_u85_INT(per_channel_quantization):
qtol=1,
)
pipeline.run()


@common.SkipIfNoModelConverter
@common.parametrize("per_channel_quantization", quant_test_data)
def test_mv2_vgf_INT(per_channel_quantization):
pipeline = VgfPipeline[input_t](
mv2,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
per_channel_quantization=per_channel_quantization,
atol=0.25,
qtol=1,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", get_test_inputs(), atol=3e-1, qtol=1.0
# )
pipeline.run()


@common.SkipIfNoModelConverter
def test_mv2_vgf_FP():
pipeline = VgfPipeline[input_t](
mv2,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
# TODO: MLETORCH-1167 Create Vulkan backend e2e tests
# pipeline.change_args(
# "run_method_and_compare_outputs", get_test_inputs(), atol=3e-1, qtol=1.0
# ) # TODO: MLETORCH-1036 decrease tolerance
pipeline.run()
30 changes: 30 additions & 0 deletions backends/arm/test/models/test_mobilenet_v3_arm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from torchvision import models, transforms
Expand Down Expand Up @@ -82,3 +83,32 @@ def test_mv3_u85_INT():
qtol=1,
)
pipeline.run()


@common.SkipIfNoModelConverter
@pytest.mark.slow
def test_mv3_vgf_INT():
pipeline = VgfPipeline[input_t](
mv3,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
atol=0.5,
qtol=1,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_mv3_vgf_FP():
pipeline = VgfPipeline[input_t](
mv3,
model_inputs,
aten_op=[],
exir_op=[],
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
pipeline.run()
28 changes: 28 additions & 0 deletions backends/arm/test/models/test_w2l_arm.py
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Expand Up @@ -17,6 +17,7 @@
EthosU85PipelineINT,
TosaPipelineFP,
TosaPipelineINT,
VgfPipeline,
)

from torchaudio import models
Expand Down Expand Up @@ -101,3 +102,30 @@ def test_w2l_u85_INT():
run_on_fvp=True,
)
pipeline.run()


@common.SkipIfNoModelConverter
@pytest.mark.slow
def test_w2l_vgf_INT():
pipeline = VgfPipeline[input_t](
TestW2L.w2l,
TestW2L.model_example_inputs,
aten_op=[],
exir_op=TestW2L.all_operators,
tosa_version="TOSA-1.0+INT",
use_to_edge_transform_and_lower=True,
)
pipeline.run()


@common.SkipIfNoModelConverter
def test_w2l_vgf_FP():
pipeline = VgfPipeline[input_t](
TestW2L.w2l,
TestW2L.model_example_inputs,
aten_op=[],
exir_op=TestW2L.all_operators,
tosa_version="TOSA-1.0+FP",
use_to_edge_transform_and_lower=True,
)
pipeline.run()
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