operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
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19
5.24k
aten.convolution.default
TorchBench/densenet121
((T([4, 992, 14, 14], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/densenet121
((T([4, 992, 7, 7], f16), T([128, 992, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/maml_omniglot
((T([5, 1, 28, 28], f16), T([64, 1, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/maml_omniglot
((T([5, 64, 13, 13], f16, stride=(10816, 1, 832, 64)), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/maml_omniglot
((T([5, 64, 5, 5], f16, stride=(1600, 1, 320, 64)), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 1024, 22, 22], f16), T([512, 1024, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 128, 176, 176], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 128, 176, 176], f16), T([64, 128, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 128, 44, 44], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 128, 88, 88], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 20, 352, 352], f16), T([32, 20, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 256, 22, 22], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 256, 44, 44], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 256, 88, 88], f16), T([128, 256, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 256, 88, 88], f16), T([256, 256, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 3, 352, 352], f16), T([64, 3, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 32, 176, 176], f16), T([64, 32, 5, 5], f16), T([64], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16), T([32, 32, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16), T([4, 32, 3, 3], f16), T([4], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 32, 352, 352], f16), T([5, 32, 3, 3], f16), T([5], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 512, 11, 11], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 512, 22, 22], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 512, 44, 44], f16), T([256, 512, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 512, 44, 44], f16), T([512, 512, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 6, 352, 352], f16), T([32, 6, 7, 7], f16), T([32], f16), [1, 1], [3, 3], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 64, 176, 176], f16), T([64, 64, 5, 5], f16), T([64], f16), [1, 1], [2, 2], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 64, 352, 352], f16), T([32, 64, 3, 3], f16), T([32], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 64, 352, 352], f16), T([64, 64, 3, 3], f16), T([64], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/Super_SloMo
((T([6, 64, 88, 88], f16), T([128, 64, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1, 1024], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1, 2048], f16), T([1, 1, 7], f16), None, [1], [3], [1], False, [0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1, 256], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1, 512], f16), T([1, 1, 5], f16), None, [1], [2], [1], False, [0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 1024, 1, 1], f16), T([1000, 1024, 1, 1], f16), T([1000], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1024, 14, 14], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 1024, 14, 14], f16), T([416, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1024, 14, 14], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 1024, 14, 14], f16), T([832, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 1024, 16, 16], f16), T([1536, 1024, 1, 1], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 1024, 16, 16], f16), T([256, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 1024, 16, 16], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 1024, 7, 7], f16), T([512, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 1024, 8, 8], f16), T([1024, 1024, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 104, 14, 14], f16), T([104, 104, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 104, 14, 14], f16), T([624, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 104, 14, 14], f16, stride=(81536, 196, 14, 1)), T([104, 104, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 104, 28, 28], f16, stride=(326144, 784, 28, 1)), T([104, 104, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 104, 56, 56], f16), T([256, 104, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 112, 28, 28], f16, stride=(263424, 784, 28, 1)), T([112, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 112, 29, 29], f16), T([112, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 112, 31, 31], f16), T([112, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 112, 33, 33], f16), T([112, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 112), {})
aten.convolution.default
TIMM/dla102
((T([64, 1152, 28, 28], f16), T([256, 1152, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 120, 14, 14], f16, stride=(94080, 196, 14, 1)), T([120, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 120, 56, 56], f16), T([120, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 120), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 128, 1, 1], f16), T([8, 128, 1, 1], f16), T([8], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vgg16
((T([64, 128, 112, 112], f16), T([128, 128, 3, 3], f16), T([128], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 128, 128, 128], f16), T([128, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 128), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 128, 128], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 128, 14, 14], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 128, 16, 16], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 128, 16, 16], f16), T([192, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 128, 16, 16], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 128, 28, 28], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 128, 28, 28], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 128, 28, 28], f16), T([256, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 128, 28, 28], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 128, 28, 28], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([384, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([512, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 128, 56, 56], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vgg16
((T([64, 128, 56, 56], f16), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})