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Arm Backend: Add tests for rsub, transpose_copy and t_copy
Signed-off-by: Agrima Khare <[email protected]> Change-Id: I8aea84b9a83bbe1b429eeb474676854f41e09ee3
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5 files changed

+365
-4
lines changed

5 files changed

+365
-4
lines changed

‎backends/arm/quantizer/quantization_annotator.py‎

Lines changed: 9 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -333,6 +333,7 @@ def _match_pattern(
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torch.ops.aten.transpose.Dimname,
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torch.ops.aten.transpose.int,
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torch.ops.aten.transpose_copy.int,
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torch.ops.aten.t_copy.default,
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torch.ops.aten.tile.default,
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torch.ops.aten.flip.default,
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torch.ops.aten.chunk.default,
@@ -510,7 +511,8 @@ def any_or_hardtanh_min_zero(n: Node):
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quant_properties.quant_inputs = [
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_QuantProperty(0, input_act_qspec),
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_QuantProperty(
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1, input_act_qspec if node.args[0] == node.args[1] else shared_qspec # type: ignore[arg-type]
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1,
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input_act_qspec if node.args[0] == node.args[1] else shared_qspec, # type: ignore[arg-type]
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),
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]
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quant_properties.quant_output = _QuantProperty(0, shared_qspec) # type: ignore[arg-type]
@@ -529,7 +531,8 @@ def any_or_hardtanh_min_zero(n: Node):
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)
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quant_properties.quant_inputs = [_QuantProperty(0, input_qspec)] # type: ignore[arg-type]
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quant_properties.quant_output = _QuantProperty(
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0, SharedQuantizationSpec((node.args[0], node)) # type: ignore[arg-type]
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0,
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SharedQuantizationSpec((node.args[0], node)), # type: ignore[arg-type]
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)
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elif node.target in (
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torch.ops.aten.cat.default,
@@ -562,7 +565,8 @@ def any_or_hardtanh_min_zero(n: Node):
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elif node.target in _one_to_one_shared_input_qspec:
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quant_properties.quant_inputs = [_QuantProperty(0, input_act_qspec)]
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quant_properties.quant_output = _QuantProperty(
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0, SharedQuantizationSpec((node.args[0], node)) # type: ignore[arg-type]
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0,
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SharedQuantizationSpec((node.args[0], node)), # type: ignore[arg-type]
566570
)
567571
elif node.target in [
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torch.ops.aten.eq.Tensor,
@@ -575,7 +579,8 @@ def any_or_hardtanh_min_zero(n: Node):
575579
quant_properties.quant_inputs = [
576580
_QuantProperty(0, input_act_qspec),
577581
_QuantProperty(
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1, input_act_qspec if node.args[0] == node.args[1] else shared_qspec # type: ignore[arg-type]
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1,
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input_act_qspec if node.args[0] == node.args[1] else shared_qspec, # type: ignore[arg-type]
579584
),
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]
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quant_properties.quant_output = None

‎backends/arm/test/ops/test_rsub.py‎

Lines changed: 126 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,126 @@
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# Copyright 2025 Arm Limited and/or its affiliates.
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#
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# This source code is licensed under the BSD-style license found in the
4+
# LICENSE file in the root directory of this source tree.
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from typing import Tuple
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import torch
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from executorch.backends.arm.test import common
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from executorch.backends.arm.test.tester.test_pipeline import (
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EthosU55PipelineINT,
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EthosU85PipelineINT,
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TosaPipelineFP,
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TosaPipelineINT,
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VgfPipeline,
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)
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rsub_test_data = {
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"rand_2D_4x4": lambda: (torch.rand(4, 4), 2),
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"rand_3D_4x4x4": lambda: (torch.rand(4, 2, 2), 1.5),
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"rand_4D_2x2x4x4": lambda: (torch.rand(2, 2, 4, 4), -1.1),
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"rand_4D_big_small": lambda: (
24+
(10e30) * torch.randn(1, 20, 30, 40),
25+
-0.25,
26+
),
27+
"zero": lambda: (torch.rand(4, 4), 0),
28+
# "swapped": lambda: (2, torch.rand(4, 4)), # torch.rsub(Scalar, Tensor) is not supported as it is not supported in eager mode.
29+
}
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class Rsub(torch.nn.Module):
33+
aten_op = "torch.ops.aten.rsub.Scalar"
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exir_op = "executorch_exir_dialects_edge__ops_aten_sub_Tensor"
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def forward(self, x: torch.Tensor, y: int):
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return torch.rsub(x, y)
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input_t1 = Tuple[torch.Tensor, torch.Tensor]
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@common.parametrize("test_data", rsub_test_data)
44+
def test_rsub_scalar_tosa_FP(test_data):
45+
pipeline = TosaPipelineFP[input_t1](
46+
Rsub(),
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test_data(),
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aten_op=Rsub.aten_op,
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exir_op=Rsub.exir_op,
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use_to_edge_transform_and_lower=False,
51+
)
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pipeline.run()
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@common.parametrize("test_data", rsub_test_data)
56+
def test_rsub_scalar_tosa_INT(test_data):
57+
"""Test Subtraction (TOSA INT)"""
58+
pipeline = TosaPipelineINT[input_t1](
59+
Rsub(),
60+
test_data(),
61+
aten_op="torch.ops.aten.sub.Tensor",
62+
exir_op=Rsub.exir_op,
63+
use_to_edge_transform_and_lower=False,
64+
qtol=0,
65+
)
66+
pipeline.run()
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68+
69+
@common.parametrize("test_data", rsub_test_data)
70+
@common.XfailIfNoCorstone300
71+
def test_rsub_scalar_u55_INT(test_data):
72+
"""Test Subtraction on Ethos-U55 (FVP Mode)"""
73+
pipeline = EthosU55PipelineINT[input_t1](
74+
Rsub(),
75+
test_data(),
76+
aten_ops="torch.ops.aten.sub.Tensor",
77+
exir_ops=Rsub.exir_op,
78+
run_on_fvp=True,
79+
use_to_edge_transform_and_lower=False,
80+
)
81+
pipeline.run()
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83+
84+
@common.parametrize("test_data", rsub_test_data)
85+
@common.XfailIfNoCorstone320
86+
def test_rsub_scalar_u85_INT(test_data):
87+
"""Test Subtraction on Ethos-U85 (FVP Mode)"""
88+
pipeline = EthosU85PipelineINT[input_t1](
89+
Rsub(),
90+
test_data(),
91+
aten_ops="torch.ops.aten.sub.Tensor",
92+
exir_ops=Rsub.exir_op,
93+
run_on_fvp=True,
94+
use_to_edge_transform_and_lower=False,
95+
)
96+
pipeline.run()
97+
98+
99+
@common.parametrize("test_data", rsub_test_data)
100+
@common.SkipIfNoModelConverter
101+
def test_rsub_scalar_vgf_FP(test_data: Tuple[torch.Tensor]):
102+
"""Test Subtraction (VGF FP)"""
103+
pipeline = VgfPipeline[input_t1](
104+
Rsub(),
105+
test_data(),
106+
Rsub.aten_op,
107+
Rsub.exir_op,
108+
tosa_version="TOSA-1.0+FP",
109+
use_to_edge_transform_and_lower=False,
110+
)
111+
pipeline.run()
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113+
114+
@common.parametrize("test_data", rsub_test_data)
115+
@common.SkipIfNoModelConverter
116+
def test_rsub_scalar_vgf_INT(test_data: Tuple[torch.Tensor]):
117+
"""Test Subtraction (VGF INT)"""
118+
pipeline = VgfPipeline[input_t1](
119+
Rsub(),
120+
test_data(),
121+
aten_op="torch.ops.aten.sub.Tensor",
122+
exir_op=Rsub.exir_op,
123+
tosa_version="TOSA-1.0+INT",
124+
use_to_edge_transform_and_lower=False,
125+
)
126+
pipeline.run()

‎backends/arm/test/ops/test_sub.py‎

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -132,6 +132,7 @@ def test_sub_tensor_tosa_INT_2(test_data: Tuple[torch.Tensor, torch.Tensor]):
132132
@common.parametrize("test_data", sub_tan_test_data)
133133
def test_sub_tensor_tosa_INT_3(test_data: Tuple[torch.Tensor, torch.Tensor]):
134134
"""Test Two-Operand Subtraction (TOSA INT)"""
135+
# This test has only been added to the tosa INT profile in order to catch quantization-induced errors.
135136
pipeline = TosaPipelineINT[input_t2](
136137
SubTan(), test_data(), aten_op, exir_op, qtol=0
137138
)

‎backends/arm/test/ops/test_t_copy.py‎

Lines changed: 115 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,115 @@
1+
# Copyright 2025 Arm Limited and/or its affiliates.
2+
#
3+
# This source code is licensed under the BSD-style license found in the
4+
# LICENSE file in the root directory of this source tree.
5+
6+
from typing import Tuple
7+
8+
import torch
9+
10+
from executorch.backends.arm.test import common
11+
from executorch.backends.arm.test.tester.test_pipeline import (
12+
EthosU55PipelineINT,
13+
EthosU85PipelineINT,
14+
TosaPipelineFP,
15+
TosaPipelineINT,
16+
VgfPipeline,
17+
)
18+
19+
test_data_suite = {
20+
# test_name: (test_data, min, max)
21+
"rand": lambda: (torch.rand(2, 3),),
22+
"rand_multiplied": lambda: (torch.rand(3, 4) * 10,),
23+
"ones": lambda: (torch.ones(5, 10),),
24+
"randn": lambda: (torch.randn(1, 10) * 2,),
25+
}
26+
27+
28+
class TCopy(torch.nn.Module):
29+
aten_op = "torch.ops.aten.t_copy.default"
30+
exir_op = "executorch_exir_dialects_edge__ops_aten_permute_copy_default"
31+
32+
def forward(self, x: torch.Tensor):
33+
return torch.t_copy(x)
34+
35+
36+
input_t1 = Tuple[torch.Tensor]
37+
38+
39+
@common.parametrize("test_data", test_data_suite)
40+
def test_t_tosa_FP(test_data: Tuple):
41+
pipeline = TosaPipelineFP[input_t1](
42+
TCopy(),
43+
test_data(),
44+
aten_op=TCopy.aten_op,
45+
exir_op=TCopy.exir_op,
46+
use_to_edge_transform_and_lower=False,
47+
)
48+
49+
pipeline.run()
50+
51+
52+
@common.parametrize("test_data", test_data_suite)
53+
def test_t_tosa_INT(test_data: Tuple):
54+
pipeline = TosaPipelineINT[input_t1](
55+
TCopy(),
56+
test_data(),
57+
aten_op=TCopy.aten_op,
58+
exir_op=TCopy.exir_op,
59+
use_to_edge_transform_and_lower=False,
60+
)
61+
pipeline.run()
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63+
64+
@common.XfailIfNoCorstone300
65+
@common.parametrize("test_data", test_data_suite)
66+
def test_t_u55_INT(test_data: Tuple):
67+
pipeline = EthosU55PipelineINT[input_t1](
68+
TCopy(),
69+
test_data(),
70+
aten_ops=TCopy.aten_op,
71+
exir_ops=[],
72+
use_to_edge_transform_and_lower=True,
73+
)
74+
pipeline.run()
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76+
77+
@common.XfailIfNoCorstone320
78+
@common.parametrize("test_data", test_data_suite)
79+
def test_t_u85_INT(test_data: Tuple):
80+
pipeline = EthosU85PipelineINT[input_t1](
81+
TCopy(),
82+
test_data(),
83+
aten_ops=TCopy.aten_op,
84+
exir_ops=TCopy.exir_op,
85+
use_to_edge_transform_and_lower=False,
86+
)
87+
pipeline.run()
88+
89+
90+
@common.parametrize("test_data", test_data_suite)
91+
@common.SkipIfNoModelConverter
92+
def test_t_vgf_FP(test_data: Tuple):
93+
pipeline = VgfPipeline[input_t1](
94+
TCopy(),
95+
test_data(),
96+
aten_op=TCopy.aten_op,
97+
exir_op=TCopy.exir_op,
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tosa_version="TOSA-1.0+FP",
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use_to_edge_transform_and_lower=False,
100+
)
101+
pipeline.run()
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103+
104+
@common.parametrize("test_data", test_data_suite)
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@common.SkipIfNoModelConverter
106+
def test_t_vgf_INT(test_data: Tuple):
107+
pipeline = VgfPipeline[input_t1](
108+
TCopy(),
109+
test_data(),
110+
aten_op=TCopy.aten_op,
111+
exir_op=TCopy.exir_op,
112+
tosa_version="TOSA-1.0+INT",
113+
use_to_edge_transform_and_lower=False,
114+
)
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pipeline.run()

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