operator name
stringclasses 180
values | used in model
stringclasses 155
values | args
stringlengths 19
5.24k
|
|---|---|---|
aten.unbind.int
|
TIMM/tnt_s_patch16_224
|
((T([2, 64, 6, 197, 64], f16, stride=(384, 151296, 64, 768, 1)),), {})
|
aten.unbind.int
|
TIMM/swin_base_patch4_window7_224
|
((T([3, 1024, 8, 49, 32], f16, stride=(256, 37632, 32, 768, 1)),), {})
|
aten.unbind.int
|
TIMM/visformer_small
|
((T([3, 128, 6, 196, 64], f16, stride=(75264, 225792, 12544, 1, 196)),), {})
|
aten.unbind.int
|
TIMM/visformer_small
|
((T([3, 128, 6, 49, 128], f16, stride=(37632, 112896, 6272, 1, 49)),), {})
|
aten.unbind.int
|
TIMM/swin_base_patch4_window7_224
|
((T([3, 256, 16, 49, 32], f16, stride=(512, 75264, 32, 1536, 1)),), {})
|
aten.unbind.int
|
TIMM/mobilevit_s
|
((T([3, 256, 4, 16, 60], f16, stride=(240, 11520, 60, 720, 1)),), {})
|
aten.unbind.int
|
TIMM/mobilevit_s
|
((T([3, 256, 4, 256, 36], f16, stride=(144, 110592, 36, 432, 1)),), {})
|
aten.unbind.int
|
TIMM/mobilevit_s
|
((T([3, 256, 4, 64, 48], f16, stride=(192, 36864, 48, 576, 1)),), {})
|
aten.unbind.int
|
TIMM/swin_base_patch4_window7_224
|
((T([3, 4096, 4, 49, 32], f16, stride=(128, 18816, 32, 384, 1)),), {})
|
aten.unbind.int
|
TIMM/volo_d1_224
|
((T([3, 64, 12, 196, 32], f16, stride=(384, 225792, 32, 1152, 1)),), {})
|
aten.unbind.int
|
TIMM/beit_base_patch16_224
|
((T([3, 64, 12, 197, 64], f16, stride=(768, 453888, 64, 2304, 1)),), {})
|
aten.unbind.int
|
TIMM/vit_base_patch16_224
|
((T([3, 64, 12, 197, 64], f16, stride=(768, 453888, 64, 2304, 1)),), {})
|
aten.unbind.int
|
TIMM/deit_base_distilled_patch16_224
|
((T([3, 64, 12, 198, 64], f16, stride=(768, 456192, 64, 2304, 1)),), {})
|
aten.unbind.int
|
TIMM/jx_nest_base
|
((T([3, 64, 16, 1, 196, 32], f16, stride=(512, 301056, 32, 301056, 1536, 1)),), {})
|
aten.unbind.int
|
TIMM/pit_b_224
|
((T([3, 64, 16, 65, 64], f16, stride=(1024, 199680, 64, 3072, 1)),), {})
|
aten.unbind.int
|
TIMM/swin_base_patch4_window7_224
|
((T([3, 64, 32, 49, 32], f16, stride=(1024, 150528, 32, 3072, 1)),), {})
|
aten.unbind.int
|
TIMM/jx_nest_base
|
((T([3, 64, 4, 16, 196, 32], f16, stride=(128, 1204224, 32, 75264, 384, 1)),), {})
|
aten.unbind.int
|
TIMM/crossvit_9_240
|
((T([3, 64, 4, 197, 64], f16, stride=(256, 151296, 64, 768, 1)),), {})
|
aten.unbind.int
|
TIMM/crossvit_9_240
|
((T([3, 64, 4, 401, 32], f16, stride=(128, 153984, 32, 384, 1)),), {})
|
aten.unbind.int
|
TIMM/pit_b_224
|
((T([3, 64, 4, 962, 64], f16, stride=(256, 738816, 64, 768, 1)),), {})
|
aten.unbind.int
|
TIMM/pit_b_224
|
((T([3, 64, 8, 257, 64], f16, stride=(512, 394752, 64, 1536, 1)),), {})
|
aten.unbind.int
|
TIMM/jx_nest_base
|
((T([3, 64, 8, 4, 196, 32], f16, stride=(256, 602112, 32, 150528, 768, 1)),), {})
|
aten.unbind.int
|
TorchBench/timm_vision_transformer
|
((T([3, 8, 6, 197, 64], f16, stride=(384, 226944, 64, 1152, 1)),), {})
|
aten.unbind.int
|
TorchBench/vision_maskrcnn
|
((T([4, 5000, 4], f16),), {})
|
aten.unbind.int
|
TorchBench/vision_maskrcnn
|
((T([4, 5000], f16),), {})
|
aten.unbind.int
|
TorchBench/vision_maskrcnn
|
((T([4, 5000], i64),), {})
|
aten.unbind.int
|
TorchBench/timm_efficientdet
|
((T([5000, 4], f32), 1), {})
|
aten.unbind.int
|
TorchBench/Super_SloMo
|
((T([6, 352, 352, 2], f16), 3), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 384, 2, 2, 12, 12], f16), [128, 384, 2, 20, 12], 3, 12, 8), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 384, 2, 20, 12], f16), [128, 384, 20, 20], 2, 12, 8), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 640, 1, 1, 12, 12], f16), [128, 640, 1, 12, 12], 3, 12, 8), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 640, 1, 12, 12], f16), [128, 640, 12, 12], 2, 12, 8), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 640, 2, 2, 12, 12], f16), [128, 640, 2, 20, 12], 3, 12, 8), {})
|
aten.unfold_backward.default
|
TIMM/eca_halonext26ts
|
((T([128, 640, 2, 20, 12], f16), [128, 640, 20, 20], 2, 12, 8), {})
|
aten.unsqueeze_.default
|
HuggingFace/BigBird
|
((T([1, 12, 64, 192], f32), 1), {})
|
aten.unsqueeze_.default
|
HuggingFace/BigBird
|
((T([1, 12, 64, 64], f16), 2), {})
|
aten.unsqueeze_.default
|
HuggingFace/BigBird
|
((T([12, 14, 3], i64), 0), {})
|
aten.unsqueeze_.default
|
TorchBench/hf_BigBird
|
((T([12, 14, 3], i64), 0), {})
|
aten.unsqueeze_.default
|
TorchBench/hf_BigBird
|
((T([2, 12, 64, 192], f32), 1), {})
|
aten.unsqueeze_.default
|
TorchBench/hf_BigBird
|
((T([2, 12, 64, 64], f16), 2), {})
|
aten.upsample_bicubic2d.vec
|
TIMM/crossvit_9_240
|
((T([64, 3, 240, 240], f16), [224, 224], False, None), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/pytorch_unet
|
((T([1, 128, 160, 239], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/pytorch_unet
|
((T([1, 256, 80, 119], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/vision_maskrcnn
|
((T([1, 3, 427, 640], f16, stride=(3, 1, 1920, 3)), [799, 1199], False, None), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/vision_maskrcnn
|
((T([1, 3, 459, 640], f16, stride=(3, 1, 1920, 3)), [799, 1115], False, None), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/vision_maskrcnn
|
((T([1, 3, 612, 612], f16, stride=(3, 1, 1836, 3)), [800, 800], False, None), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/vision_maskrcnn
|
((T([1, 3, 640, 443], f16, stride=(3, 1, 1329, 3)), [1155, 800], False, None), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/pytorch_unet
|
((T([1, 512, 40, 59], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/pytorch_unet
|
((T([1, 64, 320, 479], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Background_Matting
|
((T([3, 128, 256, 256], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Background_Matting
|
((T([3, 256, 128, 128], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Background_Matting
|
((T([3, 256, 256, 256], f16), None, True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Super_SloMo
|
((T([6, 128, 88, 88], f16), None, False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Super_SloMo
|
((T([6, 256, 44, 44], f16), None, False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Super_SloMo
|
((T([6, 512, 11, 11], f16), None, False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Super_SloMo
|
((T([6, 512, 22, 22], f16), None, False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d.vec
|
TorchBench/Super_SloMo
|
((T([6, 64, 176, 176], f16), None, False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/pytorch_unet
|
((T([1, 128, 320, 478], f16), None, [1, 128, 160, 239], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/pytorch_unet
|
((T([1, 256, 160, 238], f16), None, [1, 256, 80, 119], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/pytorch_unet
|
((T([1, 512, 80, 118], f16), None, [1, 512, 40, 59], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/pytorch_unet
|
((T([1, 64, 640, 958], f16), None, [1, 64, 320, 479], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Background_Matting
|
((T([3, 128, 512, 512], f16), None, [3, 128, 256, 256], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Background_Matting
|
((T([3, 256, 256, 256], f16), None, [3, 256, 128, 128], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Background_Matting
|
((T([3, 256, 512, 512], f16), None, [3, 256, 256, 256], True, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Super_SloMo
|
((T([6, 128, 176, 176], f16), None, [6, 128, 88, 88], False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Super_SloMo
|
((T([6, 256, 88, 88], f16), None, [6, 256, 44, 44], False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Super_SloMo
|
((T([6, 512, 22, 22], f16), None, [6, 512, 11, 11], False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Super_SloMo
|
((T([6, 512, 44, 44], f16), None, [6, 512, 22, 22], False, [2.0, 2.0]), {})
|
aten.upsample_bilinear2d_backward.vec
|
TorchBench/Super_SloMo
|
((T([6, 64, 352, 352], f16), None, [6, 64, 176, 176], False, [2.0, 2.0]), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 10, 10], f16), [20, 20], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 20, 20], f16), [40, 40], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 40, 40], f16), [80, 80], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 5, 5], f16), [10, 10], None), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 14, 14], f16), None, [4.0, 4.0]), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 28, 28], f16), None, [2.0, 2.0]), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 7, 7], f16), None, [8.0, 8.0]), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 36, 14, 14], f16), None, [2.0, 2.0]), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 36, 7, 7], f16), None, [4.0, 4.0]), {})
|
aten.upsample_nearest2d.vec
|
TIMM/hrnet_w18
|
((T([128, 72, 7, 7], f16), None, [2.0, 2.0]), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 148, 152], f16), [296, 304], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 37, 38], f16), [74, 76], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 74, 76], f16), [148, 152], None), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/yolov3
|
((T([8, 128, 24, 32], f16), None, [2.0, 2.0]), {})
|
aten.upsample_nearest2d.vec
|
TorchBench/yolov3
|
((T([8, 256, 12, 16], f16), None, [2.0, 2.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 10, 10], f16), [10, 10], [1, 88, 5, 5], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 20, 20], f16), [20, 20], [1, 88, 10, 10], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 40, 40], f16), [40, 40], [1, 88, 20, 20], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/timm_efficientdet
|
((T([1, 88, 80, 80], f16), [80, 80], [1, 88, 40, 40], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 56, 56], f16), None, [128, 18, 14, 14], [4.0, 4.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 56, 56], f16), None, [128, 18, 28, 28], [2.0, 2.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 18, 56, 56], f16), None, [128, 18, 7, 7], [8.0, 8.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 36, 28, 28], f16), None, [128, 36, 14, 14], [2.0, 2.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 36, 28, 28], f16), None, [128, 36, 7, 7], [4.0, 4.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TIMM/hrnet_w18
|
((T([128, 72, 14, 14], f16), None, [128, 72, 7, 7], [2.0, 2.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 148, 152], f16), [148, 152], [4, 256, 74, 76], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 296, 304], f16), [296, 304], [4, 256, 148, 152], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/vision_maskrcnn
|
((T([4, 256, 74, 76], f16), [74, 76], [4, 256, 37, 38], None), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/yolov3
|
((T([8, 128, 48, 64], f16, stride=(1179648, 3072, 64, 1)), None, [8, 128, 24, 32], [2.0, 2.0]), {})
|
aten.upsample_nearest2d_backward.vec
|
TorchBench/yolov3
|
((T([8, 256, 24, 32], f16, stride=(589824, 768, 32, 1)), None, [8, 256, 12, 16], [2.0, 2.0]), {})
|
aten.var_mean.correction
|
TIMM/convnext_base
|
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), [1]), {'correction': 0, 'keepdim': True})
|
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