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etnaviv/ml: Skip all synthetic tests as we now have several real models

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And sync the baseline with the new models that were recently added.

Part-of: <https://gitlab.freedesktop.org/mesa/mesa/-/merge_requests/40166>
This commit is contained in:
Tomeu Vizoso 2026-03-02 09:14:45 +01:00 • committed by Marge Bot
parent 760ac320be
commit 0915fe2298
3 changed files with 72 additions and 26 deletions
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55
src/etnaviv/ci/etnaviv-vipnano-si-plus-fails.txt
View file

@ -1,16 +1,49 @@
Conv2D.Op/input_size_112_weight_size_5_input_channels_256_output_channels_120_stride_1_padding_same_0_is_signed_0,Fail
Conv2D.Op/input_size_112_weight_size_5_input_channels_256_output_channels_120_stride_1_padding_same_1_is_signed_0,Fail
Add.Op/input_size_112_weight_size_3_input_channels_32_output_channels_120_stride_1_padding_same_1_is_signed_0,Fail
Add.Op/input_size_112_weight_size_5_input_channels_32_output_channels_256_stride_1_padding_same_1_is_signed_0,Fail
Add.Op/input_size_5_weight_size_5_input_channels_32_output_channels_256_stride_1_padding_same_1_is_signed_0,Fail
Add.Op/input_size_5_weight_size_5_input_channels_32_output_channels_256_stride_2_padding_same_1_is_signed_0,Fail
Add.Op/input_size_80_weight_size_3_input_channels_32_output_channels_120_stride_1_padding_same_1_is_signed_0,Fail
Add.Op/input_size_80_weight_size_5_input_channels_32_output_channels_256_stride_1_padding_same_1_is_signed_0,Fail
# Something seems to have changed in TensorFlow Lite and it doesn't pass any more.
# Probably the implementation of TFLite_Detection_PostProcess is producing results in a different order.
# The model actually detects correctly.
Models.Op/mobiledet_ssdlite_mobiledet_coco_qat_postprocess,Fail
Models.Op/yolox_yolox,Fail
Models.Op/yolox_104,Fail
Models.Op/yolox_114,Fail
Models.Op/yolox_124,Fail
Models.Op/yolox_127,Fail
Models.Op/yolox_130,Fail
Models.Op/yolox_133,Fail
Models.Op/yolox_yolox_nano_full_integer_quant,Fail
Models.Op/efficientdet_efficientdet_tflite_lite0_int8_v1,Fail
Models.Op/inception_000,Fail
Models.Op/inception_inception_v1_224_quant,Fail
Models.Op/movenetlightning_093,Fail
Models.Op/movenetlightning_095,Fail
Models.Op/movenetlightning_098,Fail
Models.Op/movenetlightning_112,Fail
Models.Op/movenetlightning_115,Fail
Models.Op/movenetlightning_118,Fail
Models.Op/movenetlightning_134,Fail
Models.Op/movenetlightning_136,Fail
Models.Op/movenetlightning_139,Fail
Models.Op/movenetlightning_141,Fail
Models.Op/movenetlightning_152,Fail
Models.Op/movenetlightning_155,Fail
Models.Op/movenetlightning_movenet_single_pose_lightning_ptq,Fail
Models.Op/movenetthunder_093,Fail
Models.Op/movenetthunder_095,Fail
Models.Op/movenetthunder_098,Fail
Models.Op/movenetthunder_112,Fail
Models.Op/movenetthunder_115,Fail
Models.Op/movenetthunder_118,Fail
Models.Op/movenetthunder_134,Fail
Models.Op/movenetthunder_136,Fail
Models.Op/movenetthunder_139,Fail
Models.Op/movenetthunder_141,Fail
Models.Op/movenetthunder_152,Fail
Models.Op/movenetthunder_155,Fail
Models.Op/movenetthunder_movenet_single_pose_thunder_ptq,Fail
Models.Op/ssdmobilenetv2_011,Fail
Models.Op/ssdmobilenetv2_052,Fail
Models.Op/ssdmobilenetv2_ssd_mobilenet_v2_coco_quant_postprocess,Fail

17
src/etnaviv/ci/etnaviv-vipnano-si-plus-skips.txt
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@ -1,3 +1,14 @@
# The blob produces the same result as Mesa, but different from XNNPACK
Add.Op/input_size_8_weight_size_3_input_channels_32_output_channels_120_stride_1_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_32_output_channels_256_stride_1_padding_same_1_is_signed_0
Add.Op/.*
AddQuant.Op/.*
Conv2D.Op/.*
DepthwiseConv2D.Op/.*
FullyConnected.Op/.*
# GatherNd operations that are unsupported.
# If they fail is because of a bug in the teflon test runner.
Models.Op/movenetlightning_112
Models.Op/movenetlightning_141
Models.Op/movenetlightning_152
Models.Op/movenetthunder_112
Models.Op/movenetthunder_141
Models.Op/movenetthunder_152

26
src/etnaviv/ci/etnaviv-vipnano-skips.txt
View file

@ -1,19 +1,23 @@
# The blob produces the same result as Mesa, but different from XNNPACK
Add.Op/input_size_8_weight_size_3_input_channels_32_output_channels_120_stride_1_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_32_output_channels_256_stride_1_padding_same_1_is_signed_0
Add.Op/.*
AddQuant.Op/.*
Conv2D.Op/.*
DepthwiseConv2D.Op/.*
FullyConnected.Op/.*
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_1_stride_2_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_32_stride_2_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_120_stride_2_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_128_stride_2_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_160_stride_2_padding_same_1_is_signed_0
Add.Op/input_size_8_weight_size_5_input_channels_1_output_channels_256_stride_2_padding_same_1_is_signed_0
# GatherNd operations that are unsupported.
# If they fail is because of a bug in the teflon test runner.
Models.Op/movenetlightning_112
Models.Op/movenetlightning_141
Models.Op/movenetlightning_152
Models.Op/movenetthunder_112
Models.Op/movenetthunder_141
Models.Op/movenetthunder_152
# No idea why this one is failing, needs investigation.
# It takes a long time, so better skip for now.
Models.Op/mobiledet_ssdlite_mobiledet_coco_qat_postprocess
# These tests below (adds) aren't well constructed and thus fail in TF
# These tests below are additions that Rocket only supports when they can be fused to a convolution.
Models.Op/mobiledet_008
Models.Op/mobiledet_011
Models.Op/mobiledet_014
@ -36,5 +40,3 @@ Models.Op/yolox_026
Models.Op/yolox_035
Models.Op/yolox_038
Models.Op/yolox_041
FullyConnected.Op/*