operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.isinf.default
HuggingFace/MBartForConditionalGeneration
((T([8, 128, 1024], f16),), {})
aten.isinf.default
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 768], f16),), {})
aten.isnan.default
HuggingFace/BartForConditionalGeneration
((T([2, 1024, 1024], f16),), {})
aten.isnan.default
HuggingFace/M2M100ForConditionalGeneration
((T([2, 128, 1024], f16),), {})
aten.isnan.default
HuggingFace/PegasusForConditionalGeneration
((T([4, 128, 1024], f16),), {})
aten.isnan.default
TorchBench/hf_Bart
((T([4, 512, 768], f16),), {})
aten.isnan.default
HuggingFace/BlenderbotSmallForConditionalGeneration
((T([64, 128, 512], f16),), {})
aten.isnan.default
HuggingFace/MBartForConditionalGeneration
((T([8, 128, 1024], f16),), {})
aten.isnan.default
HuggingFace/PLBartForConditionalGeneration
((T([8, 128, 768], f16),), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 182], f16), 1115), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 182], f16), 1155), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 182], f16), 1199), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 182], f16), 799), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 182], f16), 800), {})
aten.le.Scalar
TorchBench/vision_maskrcnn
((T([0, 91], f16), 4.135166556742356), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 4, 352, 352], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 5, 352, 352], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 512, 11, 11], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 512, 22, 22], f16), 0.1), {})
aten.leaky_relu.default
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/dcgan
((T([32, 128, 16, 16], f16), 0.2), {})
aten.leaky_relu_.default
TorchBench/dcgan
((T([32, 256, 8, 8], f16), 0.2), {})
aten.leaky_relu_.default
TorchBench/dcgan
((T([32, 512, 4, 4], f16), 0.2), {})
aten.leaky_relu_.default
TorchBench/dcgan
((T([32, 64, 32, 32], f16), 0.2), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 1024, 8, 8], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 128, 128, 128], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 256, 32, 32], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 32, 128, 128], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 32, 256, 256], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 512, 16, 16], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 512, 8, 8], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 64, 128, 128], f16),), {})
aten.leaky_relu_.default
TIMM/cspdarknet53
((T([64, 64, 64, 64], f16),), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 1024, 12, 16], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 128, 24, 32], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 128, 48, 64], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 128, 96, 128], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 256, 12, 16], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 256, 24, 32], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 256, 48, 64], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 32, 192, 256], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 32, 384, 512], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 512, 12, 16], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 512, 24, 32], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 64, 192, 256], f16), 0.1), {})
aten.leaky_relu_.default
TorchBench/yolov3
((T([8, 64, 96, 128], f16), 0.1), {})
aten.leaky_relu_backward.default
TorchBench/dcgan
((T([32, 128, 16, 16], f16), T([32, 128, 16, 16], f16), 0.2, True), {})
aten.leaky_relu_backward.default
TorchBench/dcgan
((T([32, 256, 8, 8], f16), T([32, 256, 8, 8], f16), 0.2, True), {})
aten.leaky_relu_backward.default
TorchBench/dcgan
((T([32, 512, 4, 4], f16), T([32, 512, 4, 4], f16), 0.2, True), {})
aten.leaky_relu_backward.default
TorchBench/dcgan
((T([32, 64, 32, 32], f16), T([32, 64, 32, 32], f16), 0.2, True), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16), T([6, 128, 88, 88], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16, stride=(1982464, 7744, 88, 1)), T([6, 128, 88, 88], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16), T([6, 256, 44, 44], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16, stride=(991232, 1936, 44, 1)), T([6, 256, 44, 44], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16), T([6, 32, 352, 352], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16, stride=(7929856, 123904, 352, 1)), T([6, 32, 352, 352], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 4, 352, 352], f16), T([6, 4, 352, 352], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 5, 352, 352], f16), T([6, 5, 352, 352], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 512, 11, 11], f16), T([6, 512, 11, 11], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 512, 22, 22], f16), T([6, 512, 22, 22], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 512, 22, 22], f16, stride=(495616, 484, 22, 1)), T([6, 512, 22, 22], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16), T([6, 64, 176, 176], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16, stride=(3964928, 30976, 176, 1)), T([6, 64, 176, 176], f16), 0.1, False), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 1024, 8, 8], f16), T([64, 1024, 8, 8], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 128, 128, 128], f16), T([64, 128, 128, 128], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([64, 128, 32, 32], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16), T([64, 256, 16, 16], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16, stride=(131072, 256, 16, 1)), T([64, 256, 16, 16], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 256, 32, 32], f16), T([64, 256, 32, 32], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 32, 128, 128], f16), T([64, 32, 128, 128], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 32, 256, 256], f16), T([64, 32, 256, 256], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 512, 16, 16], f16), T([64, 512, 16, 16], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 512, 8, 8], f16), T([64, 512, 8, 8], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 512, 8, 8], f16, stride=(65536, 64, 8, 1)), T([64, 512, 8, 8], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 64, 128, 128], f16), T([64, 64, 128, 128], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 64, 128, 128], f16, stride=(2097152, 16384, 128, 1)), T([64, 64, 128, 128], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 64, 64, 64], f16), T([64, 64, 64, 64], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TIMM/cspdarknet53
((T([64, 64, 64, 64], f16, stride=(524288, 4096, 64, 1)), T([64, 64, 64, 64], f16), 0.01, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 1024, 12, 16], f16), T([8, 1024, 12, 16], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 128, 24, 32], f16), T([8, 128, 24, 32], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 128, 48, 64], f16), T([8, 128, 48, 64], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 128, 96, 128], f16), T([8, 128, 96, 128], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 256, 12, 16], f16), T([8, 256, 12, 16], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 256, 24, 32], f16), T([8, 256, 24, 32], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 256, 48, 64], f16), T([8, 256, 48, 64], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 32, 192, 256], f16), T([8, 32, 192, 256], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 32, 384, 512], f16), T([8, 32, 384, 512], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 512, 12, 16], f16), T([8, 512, 12, 16], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 512, 24, 32], f16), T([8, 512, 24, 32], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 64, 192, 256], f16), T([8, 64, 192, 256], f16), 0.1, True), {})
aten.leaky_relu_backward.default
TorchBench/yolov3
((T([8, 64, 96, 128], f16), T([8, 64, 96, 128], f16), 0.1, True), {})
aten.lift_fresh_copy.default
TIMM/adv_inception_v3
((T([128], i64),), {})