Datasets:
GPUMODE
/
backendbench_tests

Dataset card Data Studio Files
xet
Community
6
operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.sigmoid_backward.default
TorchBench/timm_efficientnet
((T([32, 240, 1, 1], f16), T([32, 240, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/gluon_senet154
((T([32, 256, 1, 1], f16), T([32, 256, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/legacy_senet154
((T([32, 256, 1, 1], f16), T([32, 256, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_efficientnet
((T([32, 32, 1, 1], f16), T([32, 32, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_regnet
((T([32, 448, 1, 1], f16), T([32, 448, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_efficientnet
((T([32, 480, 1, 1], f16), T([32, 480, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/gluon_senet154
((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/legacy_senet154
((T([32, 512, 1, 1], f16), T([32, 512, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_efficientnet
((T([32, 672, 1, 1], f16), T([32, 672, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_regnet
((T([32, 896, 1, 1], f16), T([32, 896, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_efficientnet
((T([32, 96, 1, 1], f16), T([32, 96, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/timm_efficientdet
((T([5000, 1], f16), T([5000, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/Super_SloMo
((T([6, 1, 352, 352], f16), T([6, 1, 352, 352], f16)), {})
aten.sigmoid_backward.default
TIMM/ecaresnet101d
((T([64, 1, 1024], f16), T([64, 1, 1024], f16)), {})
aten.sigmoid_backward.default
TIMM/ecaresnet101d
((T([64, 1, 2048], f16), T([64, 1, 2048], f16)), {})
aten.sigmoid_backward.default
TIMM/ecaresnet101d
((T([64, 1, 256], f16), T([64, 1, 256], f16)), {})
aten.sigmoid_backward.default
TIMM/ecaresnet101d
((T([64, 1, 512], f16), T([64, 1, 512], f16)), {})
aten.sigmoid_backward.default
TIMM/sebotnet33ts_256
((T([64, 128, 1, 1], f16), T([64, 128, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 1584, 1, 1], f16), T([64, 1584, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 1584, 1, 1], f16), T([64, 1584, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 240, 1, 1], f16), T([64, 240, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 240, 1, 1], f16), T([64, 240, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/sebotnet33ts_256
((T([64, 256, 1, 1], f16), T([64, 256, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 336, 1, 1], f16), T([64, 336, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 336, 1, 1], f16), T([64, 336, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 480, 1, 1], f16), T([64, 480, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 480, 1, 1], f16), T([64, 480, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 624, 1, 1], f16), T([64, 624, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 624, 1, 1], f16), T([64, 624, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/sebotnet33ts_256
((T([64, 64, 1, 1], f16), T([64, 64, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/mixnet_l
((T([64, 960, 1, 1], f16), T([64, 960, 1, 1], f16)), {})
aten.sigmoid_backward.default
TIMM/tf_mixnet_l
((T([64, 960, 1, 1], f16), T([64, 960, 1, 1], f16)), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 12, 16, 2], f16), T([8, 3, 12, 16, 2], f16)), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 12, 16, 81], f16), T([8, 3, 12, 16, 81], f16, stride=(48960, 16320, 1360, 85, 1))), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 24, 32, 2], f16), T([8, 3, 24, 32, 2], f16)), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 24, 32, 81], f16), T([8, 3, 24, 32, 81], f16, stride=(195840, 65280, 2720, 85, 1))), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 48, 64, 2], f16), T([8, 3, 48, 64, 2], f16)), {})
aten.sigmoid_backward.default
TorchBench/yolov3
((T([8, 3, 48, 64, 81], f16), T([8, 3, 48, 64, 81], f16, stride=(783360, 261120, 5440, 85, 1))), {})
aten.sigmoid_backward.default
TorchBench/LearningToPaint
((T([96, 65], f16, stride=(0, 0)), T([96, 65], f16)), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 128, 56, 56], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 1536, 14, 14], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 1536, 7, 7], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 256, 56, 56], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 384, 14, 14], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 384, 7, 7], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 512, 28, 28], f16),), {})
aten.silu.default
TIMM/nfnet_l0
((T([128, 64, 56, 56], f16),), {})
aten.silu.default
TIMM/mobilevit_s
((T([256, 16, 480], f16),), {})
aten.silu.default
TIMM/mobilevit_s
((T([256, 256, 288], f16),), {})
aten.silu.default
TIMM/mobilevit_s
((T([256, 64, 384], f16),), {})
aten.silu.default
TIMM/gmixer_24_224
((T([64, 196, 768], f16, stride=(301056, 1536, 1)),), {})
aten.silu.default
TIMM/gmixer_24_224
((T([64, 384, 192], f16, stride=(147456, 384, 1)),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 10, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 1152, 20, 20], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 144, 160, 160], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 144, 80, 80], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 16, 320, 320], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 1920, 20, 20], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 20, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 240, 40, 40], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 240, 80, 80], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 28, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 32, 320, 320], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 4, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 48, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 480, 40, 40], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 6, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 672, 20, 20], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 672, 40, 40], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 8, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 80, 1, 1], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 88, 5, 5], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 96, 160, 160], f16),), {})
aten.silu_.default
TorchBench/timm_efficientdet
((T([1, 96, 320, 320], f16),), {})
aten.silu_.default
TIMM/tf_efficientnet_b0
((T([128, 10, 1, 1], f16),), {})
aten.silu_.default
TIMM/tinynet_a
((T([128, 10, 1, 1], f16),), {})
aten.silu_.default
TIMM/eca_botnext26ts_256
((T([128, 1024, 16, 16], f16),), {})
aten.silu_.default
TIMM/eca_halonext26ts
((T([128, 1024, 16, 16], f16),), {})
aten.silu_.default
TIMM/rexnet_100
((T([128, 1044, 7, 7], f16),), {})
aten.silu_.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16),), {})
aten.silu_.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16),), {})
aten.silu_.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16),), {})
aten.silu_.default
TIMM/eca_botnext26ts_256
((T([128, 128, 32, 32], f16),), {})
aten.silu_.default
TIMM/eca_halonext26ts
((T([128, 128, 32, 32], f16),), {})
aten.silu_.default
TIMM/nfnet_l0
((T([128, 128, 56, 56], f16),), {})
aten.silu_.default
TIMM/eca_botnext26ts_256
((T([128, 128, 64, 64], f16),), {})
aten.silu_.default
TIMM/eca_halonext26ts
((T([128, 128, 64, 64], f16),), {})
aten.silu_.default
TIMM/tinynet_a
((T([128, 1280, 6, 6], f16),), {})
aten.silu_.default
TIMM/rexnet_100
((T([128, 1280, 7, 7], f16),), {})
aten.silu_.default
TIMM/tf_efficientnet_b0
((T([128, 1280, 7, 7], f16),), {})
aten.silu_.default
TIMM/tinynet_a
((T([128, 144, 24, 24], f16),), {})
aten.silu_.default
TIMM/tf_efficientnet_b0
((T([128, 144, 28, 28], f16),), {})
aten.silu_.default
TIMM/tinynet_a
((T([128, 144, 48, 48], f16),), {})
aten.silu_.default
TIMM/tf_efficientnet_b0
((T([128, 144, 56, 56], f16),), {})
aten.silu_.default
TIMM/nfnet_l0
((T([128, 16, 112, 112], f16),), {})