operator name
stringclasses
180 values
used in model
stringclasses
155 values
args
stringlengths
19
5.24k
aten.convolution.default
TIMM/jx_nest_base
((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([256, 128, 3, 3], f16), T([256], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16), T([128, 128, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 128, 64, 64], f16), T([128, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16), T([256, 128, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 128, 64, 64], 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, 7, 7], f16), T([32, 128, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), T([1584], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), T([1584], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 14, 1, 1], f16), T([336, 14, 1, 1], f16), T([336], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 144, 32, 32], f16), T([96, 144, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/poolformer_m36
((T([64, 1536, 14, 14], f16), T([384, 1536, 1, 1], f16), T([384], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 1536, 14, 14], f16), T([512, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 1536, 8, 8], f16), T([1280, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 1536, 8, 8], f16), T([512, 1536, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), None, [1, 1], [3, 3], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), None, [1, 1], [4, 4], [1, 1], False, [0, 0], 156), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), T([132], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), T([132], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 16, 1, 1], f16), T([256, 16, 1, 1], f16), T([256], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 16, 112, 112], f16, stride=(401408, 12544, 112, 1)), T([96, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 16, 128, 128], f16), T([64, 16, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 16, 224, 224], f16), T([16, 16, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 16, 224, 224], f16), T([32, 16, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 160, 14, 14], f16), T([960, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 160, 28, 28], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 160, 56, 56], f16), T([128, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([160, 160, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([240, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([640, 160, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 168), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 168), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 168), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), None, [1, 1], [2, 2], [1, 1], False, [0, 0], 168), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([28, 168, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 192, 16, 16], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 192, 28, 28], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/volo_d1_224
((T([64, 192, 28, 28], f16), T([384, 192, 2, 2], f16), T([384], f16), [2, 2], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/poolformer_m36
((T([64, 192, 28, 28], f16), T([384, 192, 3, 3], f16), T([384], f16), [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/poolformer_m36
((T([64, 192, 28, 28], f16), T([768, 192, 1, 1], f16), T([768], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 192, 32, 32], f16), T([96, 192, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 192, 56, 56], f16), T([128, 192, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 20, 1, 1], f16), T([240, 20, 1, 1], f16), T([240], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([60, 20, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 2048, 14, 14], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([512, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 2048, 7, 7], f16), T([832, 2048, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 208, 14, 14], f16, stride=(163072, 196, 14, 1)), T([208, 208, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 208, 28, 28], f16), T([512, 208, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 208, 7, 7], f16), T([208, 208, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/res2net101_26w_4s
((T([64, 208, 7, 7], f16, stride=(40768, 49, 7, 1)), T([208, 208, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 224, 28, 28], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 224, 56, 56], f16), T([128, 224, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 24, 128, 128], f16), T([32, 24, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), T([20], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 5, 5], f16), None, [2, 2], [2, 2], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 7, 7], f16), None, [2, 2], [3, 3], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 14, 14], f16, stride=(188160, 196, 14, 1)), T([240, 1, 9, 9], f16), None, [2, 2], [4, 4], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 14, 14], f16, stride=(94080, 196, 14, 1)), T([80, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 15, 15], f16), T([240, 1, 3, 3], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 17, 17], f16), T([240, 1, 5, 5], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 19, 19], f16), T([240, 1, 7, 7], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 21, 21], f16), T([240, 1, 9, 9], f16), None, [2, 2], [0, 0], [1, 1], False, [0, 0], 240), {})
aten.convolution.default
TIMM/mixnet_l
((T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/tf_mixnet_l
((T([64, 240, 28, 28], f16), T([56, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 240, 8, 8], f16), T([160, 240, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 256, 1, 1], f16), T([16, 256, 1, 1], f16), T([16], f16), [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 256, 14, 14], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 256, 14, 14], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 256, 14, 14], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 256, 14, 14], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 256, 16, 16], f16), T([1024, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/mobilevit_s
((T([64, 256, 16, 16], f16), T([128, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 256, 16, 16], f16), T([256, 256, 3, 3], f16), None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/sebotnet33ts_256
((T([64, 256, 16, 16], f16), T([768, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/cspdarknet53
((T([64, 256, 16, 16], f16, stride=(131072, 256, 16, 1)), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/densenet121
((T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 256, 28, 28], f16), T([128, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 256, 28, 28], f16), T([256, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/dla102
((T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 256, 28, 28], f16), T([256, 256, 3, 3], f16), None, [2, 2], [1, 1], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TIMM/ecaresnet101d
((T([64, 256, 28, 28], f16), T([512, 256, 1, 1], f16), None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), {})
aten.convolution.default
TorchBench/vgg16
((T([64, 256, 28, 28], f16), T([512, 256, 3, 3], f16), T([512], f16), [1, 1], [1, 1], [1, 1], False, [0, 0], 1), {})