operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.clone.default
HuggingFace/MegatronBertForQuestionAnswering
((T([8], i64),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 1280, 7, 7], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 144, 28, 28], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 144, 56, 56], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 192, 14, 14], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 192, 28, 28], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 3, 224, 224], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 32, 112, 112], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 384, 14, 14], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 576, 14, 14], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 576, 7, 7], f16),), {})
aten.clone.default
TorchBench/LearningToPaint
((T([96, 9, 128, 128], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 96, 112, 112], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 96, 56, 56], f16),), {})
aten.clone.default
TorchBench/mobilenet_v2
((T([96, 960, 7, 7], f16),), {})
aten.col2im.default
TIMM/volo_d1_224
((T([64, 1728, 196], f16), [28, 28], [3, 3], [1, 1], [1, 1], [2, 2]), {})
aten.col2im_backward.default
TIMM/volo_d1_224
((T([64, 192, 28, 28], f16, stride=(150528, 1, 5376, 192)), [3, 3], [1, 1], [1, 1], [2, 2]), {})
aten.constant_pad_nd.default
TorchBench/vision_maskrcnn
((T([0, 1, 28, 28], f16), [1, 1, 1, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 128, 320, 478], f16), [0, 1, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 128, 320, 479], f16), [0, -1, 0, 0]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 144, 160, 160], f16), [1, 2, 1, 2], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 144, 163, 163], f16), [-1, -2, -1, -2]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 240, 80, 80], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 240, 81, 81], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 256, 160, 238], f16), [0, 1, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 256, 160, 239], f16), [0, -1, 0, 0]), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([1, 3, 512, 512], f16), [0, 0, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 3, 640, 640], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 512, 80, 118], f16), [0, 1, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 512, 80, 119], f16), [0, -1, 0, 0]), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 64, 640, 958], f16), [0, 1, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TorchBench/pytorch_unet
((T([1, 64, 640, 959], f16), [0, -1, 0, 0]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 672, 40, 40], f16), [1, 2, 1, 2], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 672, 43, 43], f16), [-1, -2, -1, -2]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 10, 10], f16), [0, 1, 0, 1], -inf), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 11, 11], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 20, 20], f16), [0, 1, 0, 1], -inf), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 21, 21], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 40, 40], f16), [0, 1, 0, 1], -inf), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 41, 41], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 80, 80], f16), [0, 1, 0, 1], -inf), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 88, 81, 81], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 96, 320, 320], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_efficientdet
((T([1, 96, 321, 321], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 1024, 64], f16, stride=(64, 768, 1)), [0, 0, 256, 256], -1.0), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 1536, 64], f16), [0, 0, -256, -256]), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 3, 512, 512], f16), [0, 0, 0, 1], 0.0), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 3, 513, 512], f16), [0, 0, 0, -1]), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 4, 256, 513], f16, stride=(513, 1575936, 6156, 1)), [0, 257], 0.0), {})
aten.constant_pad_nd.default
HuggingFace/AllenaiLongformerBase
((T([12, 4, 256, 770], f16), [0, -257]), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 144, 56, 56], f16), [1, 2, 1, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 144, 59, 59], f16), [-1, -2, -1, -2]), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 240, 28, 28], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 240, 29, 29], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 256, 48, 48], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 256, 48, 48], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 256, 49, 49], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 256, 49, 49], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 3, 192, 192], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 3, 192, 192], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 3, 224, 224], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 384, 16, 16], f16), [2, 2, 2, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 384, 20, 20], f16), [-2, -2, -2, -2]), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 64, 96, 96], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 64, 96, 96], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 64, 97, 97], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 64, 97, 97], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 640, 12, 12], f16), [-2, -2, -2, -2]), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 640, 16, 16], f16), [2, 2, 2, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 640, 20, 20], f16), [-2, -2, -2, -2]), {})
aten.constant_pad_nd.default
TIMM/eca_halonext26ts
((T([128, 640, 8, 8], f16), [2, 2, 2, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 672, 14, 14], f16), [1, 2, 1, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 672, 17, 17], f16), [-1, -2, -1, -2]), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 768, 12, 12], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 768, 12, 12], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 768, 13, 13], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 768, 13, 13], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 768, 24, 24], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 768, 24, 24], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/dm_nfnet_f0
((T([128, 768, 25, 25], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TorchBench/timm_nfnet
((T([128, 768, 25, 25], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 196, 40], f16, stride=(62720, 40, 320, 1)), [0, 0, 1, 0, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 197, 40], f16, stride=(63040, 40, 320, 1)), [0, 0, -1, 0, 0, 0]), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 3136, 8], f16, stride=(200704, 8, 64, 1)), [0, 0, 1, 0, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 3137, 8], f16, stride=(200768, 8, 64, 1)), [0, 0, -1, 0, 0, 0]), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 49, 64], f16, stride=(25088, 64, 512, 1)), [0, 0, 1, 0, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 50, 64], f16, stride=(25600, 64, 512, 1)), [0, 0, -1, 0, 0, 0]), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 784, 16], f16, stride=(100352, 16, 128, 1)), [0, 0, 1, 0, 0, 0], 0.0), {})
aten.constant_pad_nd.default
TIMM/coat_lite_mini
((T([128, 8, 785, 16], f16, stride=(100480, 16, 128, 1)), [0, 0, -1, 0, 0, 0]), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 96, 112, 112], f16), [0, 1, 0, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/tf_efficientnet_b0
((T([128, 96, 113, 113], f16), [0, -1, 0, -1]), {})
aten.constant_pad_nd.default
TIMM/nasnetalarge
((T([16, 1008, 42, 42], f16), [-1, 1, -1, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/nasnetalarge
((T([16, 1008, 42, 42], f16), [1, -1, 1, -1]), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), [1, 1, 1, 1], -inf), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), [1, 1, 1, 1], 0.0), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), [2, 2, 2, 2], 0.0), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 83, 83], f16), [3, 3, 3, 3], 0.0), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 85, 85], f16), [-1, -1, -1, -1]), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 87, 87], f16), [-2, -2, -2, -2]), {})
aten.constant_pad_nd.default
TIMM/pnasnet5large
((T([16, 108, 89, 89], f16), [-3, -3, -3, -3]), {})