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Arm backend: Fix sigmoid int16 and int32 flakyness
MLBEDSW-10642 has now been resolved. Step vela pin and remove all related pytest.mark_flaky in sigmoid int16 and int32 tests. Signed-off-by: Oscar Andersson <[email protected]> Change-Id: I8c1aff31fb173fa6fdebc1d5b757623f9c2e1321
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-28
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5 files changed

+29
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lines changed

‎backends/arm/operator_support/tosa_supported_operators.py‎

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Original file line numberDiff line numberDiff line change
@@ -317,6 +317,7 @@ class CheckProperQuantization(OperatorSupportBase):
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exir_ops.edge.aten.sub.Tensor,
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exir_ops.edge.aten.upsample_bilinear2d.vec,
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exir_ops.edge.aten.upsample_nearest2d.vec,
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torch.ops.aten.scalar_tensor.default,
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*TableOps.included_ops(),
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)
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‎backends/arm/test/ops/test_depthwise_conv.py‎

Lines changed: 17 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -202,13 +202,13 @@ def test_convolution_2d_tosa_BI_depth_wise(test_module: torch.nn.Module):
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x_fails = {
205-
"3x3_2x8x198x198_gp8_st3": "MLETORCH-516: AssertionError: Output 0 does not match reference output.",
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"two_dw_conv2d": "MLETORCH-516: AssertionError: Output 0 does not match reference output.",
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"3x3_2x8x198x198_gp8_st3": "MLETORCH-517: Operators fail with batches > 1",
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"two_dw_conv2d": "MLETORCH-517: Operators fail with batches > 1",
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}
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@common.parametrize("test_module", testsuite_conv2d, x_fails)
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@common.XfailIfNoCorstone300 # TODO: MLETORCH-516
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@common.parametrize("test_module", testsuite_conv2d, x_fails)
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def test_convolution_2d_u55_BI_depth_wise(test_module: torch.nn.Module):
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pipeline = EthosU55PipelineBI[input_t](
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test_module(),
@@ -233,8 +233,8 @@ def test_convolution_1d_u55_BI_depth_wise(test_module: torch.nn.Module):
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pipeline.run()
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@common.parametrize("test_module", testsuite_conv1d | testsuite_conv2d, x_fails)
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@common.XfailIfNoCorstone320 # TODO: MLETORCH-516
237+
@common.parametrize("test_module", testsuite_conv2d, x_fails)
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def test_convolution_2d_u85_BI_depth_wise(test_module: torch.nn.Module):
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pipeline = EthosU85PipelineBI[input_t](
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test_module(),
@@ -244,3 +244,16 @@ def test_convolution_2d_u85_BI_depth_wise(test_module: torch.nn.Module):
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run_on_fvp=True,
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)
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pipeline.run()
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@common.XfailIfNoCorstone320 # TODO: MLETORCH-516
250+
@common.parametrize("test_module", testsuite_conv1d, x_fails)
251+
def test_convolution_1d_u85_BI_depth_wise(test_module: torch.nn.Module):
252+
pipeline = EthosU85PipelineBI[input_t](
253+
test_module(),
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test_module().get_inputs(),
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aten_ops=[],
256+
exir_ops=exir_op,
257+
run_on_fvp=True,
258+
)
259+
pipeline.run()

‎backends/arm/test/ops/test_sigmoid_16bit.py‎

Lines changed: 8 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,6 @@
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# LICENSE file in the root directory of this source tree.
55

66
import pytest
7-
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import torch
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from executorch.backends.arm.quantizer import (
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get_symmetric_quantization_config,
@@ -91,10 +90,13 @@ def forward(self, x):
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@common.parametrize("test_data", test_data_suite)
94-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
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def test_sigmoid_tosa_BI(test_data):
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pipeline = TosaPipelineBI(
97-
Sigmoid(), (test_data(),), Sigmoid.aten_op, Sigmoid.exir_op
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Sigmoid(),
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(test_data(),),
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Sigmoid.aten_op,
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Sigmoid.exir_op,
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qtol=1,
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)
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pipeline.change_args("quantize", get_16bit_sigmoid_quantizer())
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pipeline.run()
@@ -108,13 +110,13 @@ def test_sigmoid_tosa_BI(test_data):
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},
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strict=False,
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)
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@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
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def test_sigmoid_tosa_BI_add_sigmoid(test_data):
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pipeline = TosaPipelineBI(
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SigmoidAddSigmoid(),
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(test_data(),),
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Sigmoid.aten_op,
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Sigmoid.exir_op,
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qtol=1,
118120
)
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pipeline.run()
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@@ -131,7 +133,6 @@ def test_sigmoid_tosa_BI_add_sigmoid(test_data):
131133
"test_data",
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test_data_suite,
133135
)
134-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
135136
def test_sigmoid_u55_BI(test_data):
136137
pipeline = OpNotSupportedPipeline(
137138
Sigmoid(),
@@ -148,7 +149,6 @@ def test_sigmoid_u55_BI(test_data):
148149
"test_data",
149150
test_data_suite,
150151
)
151-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
152152
def test_sigmoid_u55_BI_add_sigmoid(test_data):
153153
pipeline = OpNotSupportedPipeline(
154154
SigmoidAddSigmoid(),
@@ -163,7 +163,6 @@ def test_sigmoid_u55_BI_add_sigmoid(test_data):
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@common.parametrize("test_data", test_data_suite)
166-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
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@common.XfailIfNoCorstone320
168167
def test_sigmoid_u85_BI(test_data):
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pipeline = EthosU85PipelineBI(
@@ -181,10 +180,10 @@ def test_sigmoid_u85_BI(test_data):
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"test_data",
182181
test_data_suite,
183182
xfails={
184-
"ramp": "AssertionError: Output 0 does not match reference output.",
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"ramp": "AssertionError: Output 0 does not match reference output. MLETORCH-787"
185184
},
186185
)
187-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
186+
@pytest.mark.flaky(reruns=5) # MLETORCH-787: Investigate int16-int8 rescaling precision
188187
@common.XfailIfNoCorstone320
189188
def test_sigmoid_u85_BI_add_sigmoid(test_data):
190189
pipeline = EthosU85PipelineBI(

‎backends/arm/test/ops/test_sigmoid_32bit.py‎

Lines changed: 2 additions & 14 deletions
Original file line numberDiff line numberDiff line change
@@ -3,7 +3,6 @@
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# This source code is licensed under the BSD-style license found in the
44
# LICENSE file in the root directory of this source tree.
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6-
import pytest
76
import torch
87
from executorch.backends.arm.quantizer import TOSAQuantizer
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from executorch.backends.arm.quantizer.quantization_config import QuantizationConfig
@@ -107,33 +106,32 @@ def forward(self, x):
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@common.parametrize("test_data", test_data_suite)
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@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
111109
def test_sigmoid_tosa_BI(test_data):
112110
pipeline = TosaPipelineBI(
113111
Sigmoid(),
114112
(test_data(),),
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Sigmoid.aten_op,
116114
Sigmoid.exir_op,
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qtol=1,
117116
)
118117
pipeline.change_args("quantize", get_32bit_sigmoid_quantizer())
119118
pipeline.run()
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122121
@common.parametrize("test_data", test_data_suite)
123-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
124122
def test_sigmoid_tosa_BI_add_sigmoid(test_data):
125123
pipeline = TosaPipelineBI(
126124
SigmoidAddSigmoid(),
127125
(test_data(),),
128126
Sigmoid.aten_op,
129127
Sigmoid.exir_op,
128+
qtol=1,
130129
)
131130
pipeline.change_args("quantize", get_32bit_sigmoid_quantizer())
132131
pipeline.run()
133132

134133

135134
@common.parametrize("test_data", test_data_suite)
136-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
137135
def test_sigmoid_u55_BI(test_data):
138136
pipeline = OpNotSupportedPipeline(
139137
Sigmoid(),
@@ -147,7 +145,6 @@ def test_sigmoid_u55_BI(test_data):
147145

148146

149147
@common.parametrize("test_data", test_data_suite)
150-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
151148
def test_sigmoid_u55_BI_add_sigmoid(test_data):
152149
pipeline = OpNotSupportedPipeline(
153150
SigmoidAddSigmoid(),
@@ -162,9 +159,7 @@ def test_sigmoid_u55_BI_add_sigmoid(test_data):
162159

163160

164161
@common.parametrize("test_data", test_data_suite)
165-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
166162
@common.XfailIfNoCorstone320
167-
@pytest.mark.flaky(reruns=5)
168163
def test_sigmoid_u85_BI(test_data):
169164
pipeline = EthosU85PipelineBI(
170165
Sigmoid(),
@@ -180,15 +175,8 @@ def test_sigmoid_u85_BI(test_data):
180175
@common.parametrize(
181176
"test_data",
182177
test_data_suite,
183-
xfails={
184-
"ramp": "AssertionError: Output 0 does not match reference output.",
185-
"rand": "AssertionError: Output 0 does not match reference output.",
186-
"rand_4d": "AssertionError: Output 0 does not match reference output.",
187-
},
188178
)
189-
@pytest.mark.flaky(reruns=32) # Flaky due to Vela bug: MLBEDSW-10642
190179
@common.XfailIfNoCorstone320
191-
@pytest.mark.flaky(reruns=5)
192180
def test_sigmoid_u85_BI_add_sigmoid(test_data):
193181
pipeline = EthosU85PipelineBI(
194182
SigmoidAddSigmoid(),

‎examples/arm/setup.sh‎

Lines changed: 1 addition & 1 deletion
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@@ -60,7 +60,7 @@ fi
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# vela
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vela_repo_url="https://gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-vela"
63-
vela_rev="859cc066178a87ff28230c1ce9bd370f1e98aa5a"
63+
vela_rev="8cac2b9a7204b57125a8718049519b091a98846c"
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########
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### Functions

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