operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 197, 40], f16), 0.15811388300841897), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 197, 40], f16, stride=(63040, 40, 320, 1)), 0.15811388300841897), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3136, 8], f16, stride=(200704, 8, 64, 1)), T([128, 8, 3136, 8], f16, stride=(200704, 25088, 1, 3136))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3136, 8], f16, stride=(200704, 8, 64, 1)), T([128, 8, 3136, 8], f16, stride=(602304, 8, 192, 1))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3136, 8], f16, stride=(602304, 8, 192, 1)), T([128, 8, 3136, 8], f16, stride=(200704, 25088, 1, 3136))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3137, 8], f16), 0.3535533905932738), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 3137, 8], f16, stride=(200768, 8, 64, 1)), 0.3535533905932738), {})
aten.mul.Tensor
TIMM/levit_128
((T([128, 8, 49, 196], f16), 0.25), {})
aten.mul.Tensor
TIMM/levit_128
((T([128, 8, 49, 49], f16), 0.25), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 49, 64], f16, stride=(25088, 64, 512, 1)), T([128, 8, 49, 64], f16, stride=(25088, 3136, 1, 49))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 49, 64], f16, stride=(25088, 64, 512, 1)), T([128, 8, 49, 64], f16, stride=(76800, 64, 1536, 1))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 49, 64], f16, stride=(76800, 64, 1536, 1)), T([128, 8, 49, 64], f16, stride=(25088, 3136, 1, 49))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 50, 64], f16), 0.125), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 50, 64], f16, stride=(25600, 64, 512, 1)), 0.125), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 784, 16], f16, stride=(100352, 16, 128, 1)), T([128, 8, 784, 16], f16, stride=(100352, 12544, 1, 784))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 784, 16], f16, stride=(100352, 16, 128, 1)), T([128, 8, 784, 16], f16, stride=(301440, 16, 384, 1))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 784, 16], f16, stride=(301440, 16, 384, 1)), T([128, 8, 784, 16], f16, stride=(100352, 12544, 1, 784))), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 785, 16], f16), 0.25), {})
aten.mul.Tensor
TIMM/coat_lite_mini
((T([128, 8, 785, 16], f16, stride=(100480, 16, 128, 1)), 0.25), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 840, 7, 7], f16), T([128, 840, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 840, 7, 7], f16), T([128, 840, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 906, 7, 7], f16), T([128, 906, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 906, 7, 7], f16), T([128, 906, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 96, 48, 48], f16), T([128, 96, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tinynet_a
((T([128, 96, 48, 48], f16), T([128, 96, 48, 48], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 96, 56, 56], f16), T([128, 96, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/tf_efficientnet_b0
((T([128, 96, 56, 56], f16), T([128, 96, 56, 56], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 960, 7, 7], f16), T([128, 960, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 960, 7, 7], f16), T([128, 960, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/ghostnet_100
((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/mobilenetv3_large_100
((T([128, 960, 7, 7], f16), T([128, 960, 7, 7], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 972, 7, 7], f16), T([128, 972, 1, 1], f16)), {})
aten.mul.Tensor
TIMM/rexnet_100
((T([128, 972, 7, 7], f16), T([128, 972, 7, 7], f16)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([1438452, 1], f16), T([1438452, 1], f16)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([1438452], f16), 0.5), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([148], i32), T([], i64)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([152], i32), T([], i64)), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([1536, 1, 1, 1], f16), 0.02551551815399144), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([1536, 1, 1, 1], f16), 0.02551551815399144), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([1536, 1, 1, 1], f16), 0.03608439182435161), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([1536, 1, 1, 1], f16), 0.03608439182435161), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([1536, 1, 1, 1], f16), 0.04419417382415922), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([1536, 1, 1, 1], f16), 0.04419417382415922), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([1536, 1, 1, 1], f16), 0.04562504637317021), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([1536, 1, 1, 1], f16), 0.07902489841601695), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([1536, 1, 1, 1], f16), 0.09125009274634042), {})
aten.mul.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 1, 1, 128], f16), -65504.0), {})
aten.mul.Tensor
TIMM/dm_nfnet_f0
((T([16, 1, 1, 1], f16), 0.19245008972987526), {})
aten.mul.Tensor
TorchBench/timm_nfnet
((T([16, 1, 1, 1], f16), 0.19245008972987526), {})
aten.mul.Tensor
TIMM/nfnet_l0
((T([16, 1, 1, 1], f16), 0.34412564994580647), {})
aten.mul.Tensor
HuggingFace/LayoutLMForMaskedLM
((T([16, 1, 1, 512], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/LayoutLMForSequenceClassification
((T([16, 1, 1, 512], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/MBartForCausalLM
((T([16, 128, 1024], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/MBartForCausalLM
((T([16, 128, 1024], f16), 1.0), {})
aten.mul.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 128], f16), T([128], f16)), {})
aten.mul.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 128], f16), T([16, 128, 128], f16)), {})
aten.mul.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 1], f16), T([16, 128, 768], f16)), {})
aten.mul.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 512], f16), T([16, 128, 512], f16)), {})
aten.mul.Tensor
HuggingFace/MobileBertForMaskedLM
((T([16, 128, 512], f16), T([512], f16)), {})
aten.mul.Tensor
HuggingFace/PLBartForCausalLM
((T([16, 128, 768], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/PLBartForCausalLM
((T([16, 128, 768], f16), 27.712812921102035), {})
aten.mul.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16), T([16, 128, 768], f16)), {})
aten.mul.Tensor
TorchBench/BERT_pytorch
((T([16, 128, 768], f16), T([768], f16)), {})
aten.mul.Tensor
TIMM/poolformer_m36
((T([192, 1, 1], f16), T([64, 192, 28, 28], f16)), {})
aten.mul.Tensor
TorchBench/vision_maskrcnn
((T([19], i32), T([], i64)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1, 1, 1, 64], f16), -10000.0), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1, 1, 1024], f16), -10000.0), {})
aten.mul.Tensor
TorchBench/hf_Longformer
((T([2, 1, 1, 1024], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/MegatronBertForCausalLM
((T([2, 1, 1, 128], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/AlbertForMaskedLM
((T([2, 1, 1, 512], f16), -65504.0), {})
aten.mul.Tensor
HuggingFace/AlbertForQuestionAnswering
((T([2, 1, 1, 512], f16), -65504.0), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1, 12, 64, 192], f16), -10000.0), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1, 14, 64, 1], f32, stride=(1024, 1, 64, 1, 1)), T([2, 12, 14, 1, 192], f32)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16), T([2, 1, 768], f16)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16), T([768], f16)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16, stride=(443136, 768, 1)), T([2, 1, 768], f16)), {})
aten.mul.Tensor
TIMM/cait_m36_384
((T([2, 1, 768], f16, stride=(443136, 768, 1)), T([768], f16)), {})
aten.mul.Tensor
HuggingFace/BartForConditionalGeneration
((T([2, 1024, 1024], f16), 0.125), {})
aten.mul.Tensor
HuggingFace/BartForConditionalGeneration
((T([2, 1024, 1024], f16), 1.0), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), 0.044715), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), 0.5), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), 0.7978845608028654), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 3072], f16), T([2, 1024, 3072], f16)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), 0.044715), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), 0.5), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), 0.7978845608028654), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 1024, 768], f16), T([2, 1024, 768], f16)), {})
aten.mul.Tensor
TorchBench/hf_Longformer
((T([2, 1024], i32), T([2, 1024], i32)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 1024, 64], f16), T([2, 1, 1024, 1], f16)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 1024, 64], f16, stride=(786432, 64, 768, 1)), T([2, 1, 1024, 1], f16)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 12, 64, 192], f16), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 12, 64, 192], f16, stride=(4718592, 393216, 32768, 512, 1)), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 12, 64, 192], f32), -10000.0), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 12, 64, 64], f16), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 12, 64, 64], f16, stride=(4718592, 393216, 32768, 512, 1)), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 64, 1024], f16), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 64, 1], f32, stride=(1024, 64, 1, 1)), T([2, 12, 1, 192], f32)), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 64, 448], f16), 0.125), {})
aten.mul.Tensor
TorchBench/hf_BigBird
((T([2, 12, 64, 448], f32), -10000.0), {})
aten.mul.Tensor
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128, 1024], f16), 0.125), {})