operator name
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180 values
used in model
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155 values
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5.24k
aten.convolution.default
TIMM/visformer_small
((T([128, 192, 28, 28], f16), T([384, 192, 2, 2], f16), T([384], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/repvgg_a2
((T([128, 192, 28, 28], f16), T([384, 192, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 192, 32, 32], f16), T([160, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 192, 32, 32], f16), T([192, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 192, 32, 32], f16), T([640, 192, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 192, 35, 35], f16), T([32, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 192, 35, 35], f16), T([48, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 192, 35, 35], f16), T([64, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/selecsls42b
((T([128, 192, 56, 56], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 192, 6, 6], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 192, 7, 7], f16), T([960, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 5, 5], f16), T([192], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 192), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 192, 7, 7], f16, stride=(76800, 1, 10752, 1536)), T([192, 1, 7, 7], f16), T([192], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 192), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 1920, 16, 16], f16), T([1920, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1920), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 1920, 8, 8], f16), T([1920, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1920), {})
aten.convolution.default
TIMM/gernet_l
((T([128, 1920, 8, 8], f16), T([640, 1920, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 20, 1, 1], f16), T([480, 20, 1, 1], f16), T([480], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 20, 1, 1], f16), T([72, 20, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 20, 28, 28], f16), T([20, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 20), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 200, 14, 14], f16), T([200, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 200), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 200, 14, 14], f16), T([40, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 200, 14, 14], f16), T([72, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 200, 14, 14], f16), T([80, 200, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 200, 28, 28], f16), T([200, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 200), {})
aten.convolution.default
TIMM/res2next50
((T([128, 2048, 7, 7], f16), T([1024, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 2048, 7, 7], f16), T([896, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 2048, 8, 8], f16), T([192, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 2048, 8, 8], f16), T([320, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 2048, 8, 8], f16), T([384, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/adv_inception_v3
((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/gluon_inception_v3
((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/inception_v3
((T([128, 2048, 8, 8], f16), T([448, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 2048, 8, 8], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 216, 14, 14], f16), T([216, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 216), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 216, 14, 14], f16), T([72, 216, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net50_14w_8s
((T([128, 224, 28, 28], f16), T([512, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 224, 7, 7], f16), T([1344, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 224, 7, 7], f16), T([224, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 224), {})
aten.convolution.default
TIMM/ese_vovnet19b_dw
((T([128, 224, 7, 7], f16), T([224, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 228, 1, 1], f16), T([19, 228, 1, 1], f16), T([19], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 228, 28, 28], f16), T([50, 228, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/rexnet_100
((T([128, 228, 56, 56], f16), T([228, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 228), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 14, 14], f16), T([232, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 232), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 14, 14], f16), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 7, 7], f16), T([232, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 232), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 7, 7], f16), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 232, 7, 7], f16, stride=(22736, 49, 7, 1)), T([232, 232, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 24, 1, 1], f16), T([360, 24, 1, 1], f16), T([360], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 24, 1, 1], f16), T([72, 24, 1, 1], f16), T([72], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 24, 1, 1], f16), T([8, 24, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 24, 112, 112], f16), T([24, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 24, 112, 112], f16), T([24, 8, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 3), {})
aten.convolution.default
TIMM/botnet26t_256
((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_botnext26ts_256
((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/eca_halonext26ts
((T([128, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 24, 28, 28], f16), T([40, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 24, 28, 28], f16), T([58, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tinynet_a
((T([128, 24, 48, 48], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 24, 56, 56], f16), T([120, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv2_100
((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 24, 56, 56], f16), T([144, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 24, 56, 56], f16), T([24, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 24, 56, 56], f16), T([24, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TIMM/fbnetc_100
((T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 24, 56, 56], f16), T([24, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ghostnet_100
((T([128, 24, 56, 56], f16), T([36, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/fbnetv3_b
((T([128, 24, 56, 56], f16), T([48, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/regnety_002
((T([128, 24, 56, 56], f16), T([56, 24, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/shufflenet_v2_x1_0
((T([128, 24, 56, 56], f16), T([58, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/hardcorenas_a
((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mnasnet_100
((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilenetv3_large_100
((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/spnasnet_100
((T([128, 24, 56, 56], f16), T([72, 24, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 5, 5], f16), T([24], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TIMM/coat_lite_mini
((T([128, 24, 56, 56], f16, stride=(602304, 1, 10752, 192)), T([24, 1, 7, 7], f16), T([24], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 24), {})
aten.convolution.default
TIMM/tf_efficientnet_b0
((T([128, 240, 1, 1], f16), T([10, 240, 1, 1], f16), T([10], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})