operator name
stringclasses 180
values | used in model
stringclasses 155
values | args
stringlengths 19
5.24k
|
|---|---|---|
aten.mul.Tensor
|
HuggingFace/XGLMForCausalLM
|
((T([2, 128, 1024], f16), 0.125), {})
|
aten.mul.Tensor
|
HuggingFace/M2M100ForConditionalGeneration
|
((T([2, 128, 1024], f16), 32.0), {})
|
aten.mul.Tensor
|
HuggingFace/XGLMForCausalLM
|
((T([2, 128, 1024], f16), 32.0), {})
|
aten.mul.Tensor
|
HuggingFace/M2M100ForConditionalGeneration
|
((T([2, 128], i32), T([2, 128], i32)), {})
|
aten.mul.Tensor
|
HuggingFace/XGLMForCausalLM
|
((T([2, 128], i32), T([2, 128], i32)), {})
|
aten.mul.Tensor
|
TIMM/cait_m36_384
|
((T([2, 16, 1, 48], f16), 0.14433756729740643), {})
|
aten.mul.Tensor
|
TIMM/cait_m36_384
|
((T([2, 16, 576, 48], f16), 0.14433756729740643), {})
|
aten.mul.Tensor
|
TIMM/cait_m36_384
|
((T([2, 16, 576, 48], f16, stride=(1327104, 48, 2304, 1)), 0.14433756729740643), {})
|
aten.mul.Tensor
|
TorchBench/hf_Longformer
|
((T([2, 3, 512, 1], f16, stride=(1024, 256, 1, 1)), T([2, 3, 1, 512], f16, stride=(1024, 256, 1, 1))), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 128], f16), 0.044715), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 128], f16), 0.5), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 128], f16), 0.7978845608028654), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 128], f16), T([2, 512, 128], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 16384], f16), 0.044715), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 512, 16384], f16), 0.044715), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 16384], f16), 0.5), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 512, 16384], f16), 0.5), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 16384], f16), 0.7978845608028654), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 512, 16384], f16), 0.7978845608028654), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForMaskedLM
|
((T([2, 512, 16384], f16), T([2, 512, 16384], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/AlbertForQuestionAnswering
|
((T([2, 512, 16384], f16), T([2, 512, 16384], f16)), {})
|
aten.mul.Tensor
|
TIMM/cait_m36_384
|
((T([2, 576, 768], f16), T([2, 576, 768], f16)), {})
|
aten.mul.Tensor
|
TIMM/cait_m36_384
|
((T([2, 576, 768], f16), T([768], f16)), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([2304, 1, 1, 1], f16), 0.04562504637317021), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([256, 1, 1, 1], f16), 0.02946278254943948), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([256, 1, 1, 1], f16), 0.02946278254943948), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([256, 1, 1, 1], f16), 0.04419417382415922), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([256, 1, 1, 1], f16), 0.04419417382415922), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([256, 1, 1, 1], f16), 0.0625), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([256, 1, 1, 1], f16), 0.0625), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([256, 1, 1, 1], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([256, 1, 1, 1], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([256, 1, 1, 1], f16), 0.1580497968320339), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([256, 1, 1, 1], f16), 0.22351616621017456), {})
|
aten.mul.Tensor
|
TIMM/sebotnet33ts_256
|
((T([256, 1024, 1024], f16), 0.1767766952966369), {})
|
aten.mul.Tensor
|
TIMM/swin_base_patch4_window7_224
|
((T([256, 16, 49, 32], f16), 0.1767766952966369), {})
|
aten.mul.Tensor
|
TIMM/swin_base_patch4_window7_224
|
((T([256, 16, 49, 32], f16, stride=(75264, 32, 1536, 1)), 0.1767766952966369), {})
|
aten.mul.Tensor
|
TIMM/sebotnet33ts_256
|
((T([256, 256, 256], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TIMM/sebotnet33ts_256
|
((T([256, 256, 256], f16), 0.125), {})
|
aten.mul.Tensor
|
TorchBench/attention_is_all_you_need_pytorch
|
((T([256, 31, 9521], f16), 1.0), {})
|
aten.mul.Tensor
|
TorchBench/attention_is_all_you_need_pytorch
|
((T([256, 31, 9521], f16, stride=(0, 0, 0)), 1.0), {})
|
aten.mul.Tensor
|
TIMM/mobilevit_s
|
((T([256, 4, 16, 16], f16), 0.12909944487358058), {})
|
aten.mul.Tensor
|
TIMM/mobilevit_s
|
((T([256, 4, 256, 256], f16), 0.16666666666666666), {})
|
aten.mul.Tensor
|
TIMM/mobilevit_s
|
((T([256, 4, 64, 64], f16), 0.14433756729740643), {})
|
aten.mul.Tensor
|
TIMM/sebotnet33ts_256
|
((T([256, 64, 64], f16), 0.08838834764831845), {})
|
aten.mul.Tensor
|
TorchBench/vision_maskrcnn
|
((T([296], i32), T([], i64)), {})
|
aten.mul.Tensor
|
TorchBench/vision_maskrcnn
|
((T([304], i32), T([], i64)), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([3072, 1, 1, 1], f16), 0.02551551815399144), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([3072, 1, 1, 1], f16), 0.02551551815399144), {})
|
aten.mul.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 1, 1, 128], f16), -65504.0), {})
|
aten.mul.Tensor
|
TIMM/dm_nfnet_f0
|
((T([32, 1, 1, 1], f16), 0.08333333333333333), {})
|
aten.mul.Tensor
|
TorchBench/timm_nfnet
|
((T([32, 1, 1, 1], f16), 0.08333333333333333), {})
|
aten.mul.Tensor
|
TIMM/nfnet_l0
|
((T([32, 1, 1, 1], f16), 0.1490107774734497), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 14, 14], f16), T([32, 1, 14, 14], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 14, 14], f16), T([32, 512, 14, 14], f16, stride=(100352, 1, 7168, 512))), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 28, 28], f16), T([32, 1, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 28, 28], f16), T([32, 256, 28, 28], f16, stride=(200704, 1, 7168, 256))), {})
|
aten.mul.Tensor
|
TIMM/twins_pcpvt_base
|
((T([32, 1, 3136, 49], f16), 0.125), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 56, 56], f16), T([32, 1, 56, 56], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1, 56, 56], f16), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128))), {})
|
aten.mul.Tensor
|
TIMM/gluon_senet154
|
((T([32, 1024, 14, 14], f16), T([32, 1024, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/legacy_senet154
|
((T([32, 1024, 14, 14], f16), T([32, 1024, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/gluon_senet154
|
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
|
aten.mul.Tensor
|
TIMM/legacy_senet154
|
((T([32, 1024, 14, 14], f16), T([32, 1024, 14, 14], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1024, 7, 7], f16), T([1, 1024, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1024, 7, 7], f16), T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024))), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 1024, 7, 7], f16, stride=(50176, 1, 7168, 1024)), T([1, 1024, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 1152, 7, 7], f16), T([32, 1152, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 1152, 7, 7], f16), T([32, 1152, 7, 7], f16)), {})
|
aten.mul.Tensor
|
TorchBench/mobilenet_v3_large
|
((T([32, 120, 1, 1], f16), T([32, 120, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TorchBench/mobilenet_v3_large
|
((T([32, 120, 28, 28], f16), T([32, 120, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/mobilenet_v3_large
|
((T([32, 120, 28, 28], f16), T([32, 120, 28, 28], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 128, 128], f16), T([128], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 128, 128], f16), T([32, 128, 128], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 128, 512], f16), T([32, 128, 512], f16)), {})
|
aten.mul.Tensor
|
HuggingFace/MobileBertForQuestionAnswering
|
((T([32, 128, 512], f16), T([512], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([1, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 1, 56, 56], f16)), {})
|
aten.mul.Tensor
|
TIMM/convnext_base
|
((T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([32, 128, 56, 56], f16, stride=(401408, 1, 7168, 128))), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 144, 28, 28], f16), T([32, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 144, 28, 28], f16), T([32, 144, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 144, 56, 56], f16), T([32, 144, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_efficientnet
|
((T([32, 144, 56, 56], f16), T([32, 144, 56, 56], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 32, 32], f16), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 32, 32], f16, stride=(131072, 0, 1024, 32, 1)), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 32, 32], f16, stride=(131072, 0, 1024, 32, 1)), T([32, 2, 128, 32, 32], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 128, 56, 56], f16), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 128, 56, 56], f16, stride=(401408, 0, 3136, 56, 1)), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 128, 56, 56], f16, stride=(401408, 0, 3136, 56, 1)), T([32, 2, 128, 56, 56], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 64, 64], f16), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 64, 64], f16, stride=(524288, 0, 4096, 64, 1)), T([32, 2, 128, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 128, 64, 64], f16, stride=(524288, 0, 4096, 64, 1)), T([32, 2, 128, 64, 64], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 256, 16, 16], f16), T([32, 2, 256, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 256, 16, 16], f16, stride=(65536, 0, 256, 16, 1)), T([32, 2, 256, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 256, 16, 16], f16, stride=(65536, 0, 256, 16, 1)), T([32, 2, 256, 16, 16], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 256, 28, 28], f16), T([32, 2, 256, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 256, 28, 28], f16, stride=(200704, 0, 784, 28, 1)), T([32, 2, 256, 1, 1], f16)), {})
|
aten.mul.Tensor
|
TorchBench/timm_resnest
|
((T([32, 2, 256, 28, 28], f16, stride=(200704, 0, 784, 28, 1)), T([32, 2, 256, 28, 28], f16)), {})
|
aten.mul.Tensor
|
TIMM/resnest101e
|
((T([32, 2, 256, 32, 32], f16), T([32, 2, 256, 1, 1], f16)), {})
|
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