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aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 28, 28], f16), T([64, 416, 28, 28], f16), T([128, 416, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 28, 28], f16), T([64, 448, 28, 28], f16), T([128, 448, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 28, 28], f16), T([64, 480, 28, 28], f16), T([128, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ecaresnet101d
((T([64, 128, 28, 28], f16), T([64, 512, 28, 28], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16), T([128, 128, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/cspdarknet53
((T([64, 128, 32, 32], f16), T([64, 128, 32, 32], f16, stride=(262144, 1024, 32, 1)), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([64, 128, 64, 64], f16), T([128, 128, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 128, 32, 32], f16), T([64, 512, 32, 32], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 128, 56, 56], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 160, 56, 56], f16), T([128, 160, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 192, 56, 56], f16), T([128, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 224, 56, 56], f16), T([128, 224, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ecaresnet101d
((T([64, 128, 56, 56], f16), T([64, 256, 56, 56], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 32, 56, 56], f16), T([128, 32, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 128, 56, 56], f16), T([64, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 56, 56], f16), T([64, 96, 56, 56], f16), T([128, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/jx_nest_base
((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})
aten.convolution_backward.default
TIMM/swin_base_patch4_window7_224
((T([64, 128, 56, 56], f16, stride=(401408, 1, 7168, 128)), T([64, 3, 224, 224], f16), T([128, 3, 4, 4], f16), [128], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [False, True, True]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 128, 64, 64], f16), T([64, 128, 128, 128], f16), T([128, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 128, [True, True, False]), {})
aten.convolution_backward.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16), T([64, 128, 64, 64], f16), T([128, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 128, 64, 64], f16), T([64, 256, 64, 64], f16), T([128, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/cspdarknet53
((T([64, 128, 64, 64], f16), T([64, 64, 128, 128], f16), T([128, 64, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 512, 7, 7], f16), T([128, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 544, 7, 7], f16), T([128, 544, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 576, 7, 7], f16), T([128, 576, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 608, 7, 7], f16), T([128, 608, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 640, 7, 7], f16), T([128, 640, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 672, 7, 7], f16), T([128, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 704, 7, 7], f16), T([128, 704, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 736, 7, 7], f16), T([128, 736, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 768, 7, 7], f16), T([128, 768, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 800, 7, 7], f16), T([128, 800, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 832, 7, 7], f16), T([128, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 864, 7, 7], f16), T([128, 864, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 896, 7, 7], f16), T([128, 896, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 928, 7, 7], f16), T([128, 928, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 960, 7, 7], f16), T([128, 960, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/densenet121
((T([64, 128, 7, 7], f16), T([64, 992, 7, 7], f16), T([128, 992, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 1280, 8, 8], f16), T([64, 1536, 8, 8], f16), T([1280, 1536, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 132, 1, 1], f16), T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), [132], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 132, 1, 1], f16), T([64, 1584, 1, 1], f16), T([132, 1584, 1, 1], f16), [132], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 132, 7, 7], f16, stride=(12936, 49, 7, 1)), T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 132, 7, 7], f16, stride=(12936, 49, 7, 1)), T([64, 792, 7, 7], f16, stride=(77616, 49, 7, 1)), T([132, 792, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 14, 1, 1], f16), T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 14, 1, 1], f16), T([64, 336, 1, 1], f16), T([14, 336, 1, 1], f16), [14], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 144, 32, 32], f16), T([64, 96, 32, 32], f16), T([144, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/poolformer_m36
((T([64, 1536, 14, 14], f16), T([64, 384, 14, 14], f16), T([1536, 384, 1, 1], f16), [1536], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 1536, 16, 16], f16), T([64, 512, 16, 16], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 1536, 7, 7], f16), T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 1536, 7, 7], f16), T([64, 264, 7, 7], f16), T([1536, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 1536, 8, 8], f16), T([64, 1024, 16, 16], f16), T([1536, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 1536, 8, 8], f16), T([64, 512, 8, 8], f16), T([1536, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([64, 156, 14, 14], f16, stride=(122304, 196, 14, 1)), T([156, 1, 9, 9], f16), [0], [1, 1], [4, 4], [1, 1], False, [0, 0], 156, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 1584, 1, 1], f16), T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), [1584], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 1584, 1, 1], f16), T([64, 132, 1, 1], f16), T([1584, 132, 1, 1], f16), [1584], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 1584, 7, 7], f16), T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 1584, 7, 7], f16), T([64, 264, 7, 7], f16), T([1584, 264, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/sebotnet33ts_256
((T([64, 16, 1, 1], f16), T([64, 256, 1, 1], f16), T([16, 256, 1, 1], f16), [16], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 16, 128, 128], f16), T([64, 3, 256, 256], f16), T([16, 3, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 16, 224, 224], f16), T([64, 16, 224, 224], f16), T([16, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dla102
((T([64, 16, 224, 224], f16), T([64, 3, 224, 224], f16), T([16, 3, 7, 7], f16), [0], [1, 1], [3, 3], [1, 1], False, [0, 0], 1, [False, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 160, 14, 14], f16), T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 160, 14, 14], f16), T([64, 624, 14, 14], f16), T([160, 624, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([64, 160, 8, 8], f16), T([160, 160, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([64, 240, 8, 8], f16), T([160, 240, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([64, 320, 8, 8], f16), T([160, 320, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 160, 8, 8], f16), T([64, 512, 8, 8], f16), T([160, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 168, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 168, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 168, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([168, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 168, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 168, 28, 28], f16, stride=(263424, 784, 28, 1)), T([64, 28, 28, 28], f16, stride=(43904, 784, 28, 1)), T([168, 28, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilevit_s
((T([64, 192, 16, 16], f16), T([64, 128, 16, 16], f16), T([192, 128, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/volo_d1_224
((T([64, 192, 28, 28], f16), T([64, 64, 112, 112], f16), T([192, 64, 4, 4], f16), [192], [4, 4], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/poolformer_m36
((T([64, 192, 28, 28], f16), T([64, 768, 28, 28], f16), T([192, 768, 1, 1], f16), [192], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/poolformer_m36
((T([64, 192, 28, 28], f16), T([64, 96, 56, 56], f16), T([192, 96, 3, 3], f16), [192], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 20, 1, 1], f16), T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 20, 1, 1], f16), T([64, 240, 1, 1], f16), T([20, 240, 1, 1], f16), [20], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 60, 56, 56], f16, stride=(376320, 3136, 56, 1)), T([20, 60, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_mixnet_l
((T([64, 20, 56, 56], f16, stride=(125440, 3136, 56, 1)), T([64, 96, 56, 56], f16, stride=(602112, 3136, 56, 1)), T([20, 96, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net101_26w_4s
((T([64, 2048, 7, 7], f16), T([64, 1024, 14, 14], f16), T([2048, 1024, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([64, 1024, 7, 7], f16), T([2048, 1024, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ecaresnet101d
((T([64, 2048, 7, 7], f16), T([64, 512, 7, 7], f16), T([2048, 512, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net101_26w_4s
((T([64, 2048, 7, 7], f16), T([64, 832, 7, 7], f16), T([2048, 832, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})