operator name
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5.24k
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 112, 14, 14], f16), T([128, 480, 14, 14], f16), T([112, 480, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetc_100
((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 112, 14, 14], f16), T([128, 672, 14, 14], f16), T([112, 672, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 112, 14, 14], f16), T([128, 80, 14, 14], f16), T([112, 80, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 112, 56, 56], f16), T([128, 256, 56, 56], f16), T([112, 256, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 112, 56, 56], f16), T([128, 64, 56, 56], f16), T([112, 64, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 112, 7, 7], f16), T([128, 112, 14, 14], f16), T([112, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 112, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16), T([128, 112, 14, 14], f16, stride=(175616, 196, 14, 1)), T([112, 112, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16), T([112, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2net50_14w_8s
((T([128, 112, 7, 7], f16), T([128, 112, 7, 7], f16, stride=(43904, 49, 7, 1)), T([112, 112, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 1152, 1, 1], f16), T([128, 288, 1, 1], f16), T([1152, 288, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 1, 1], f16), T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 1152, 1, 1], f16), T([128, 48, 1, 1], f16), T([1152, 48, 1, 1], f16), [1152], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/visformer_small
((T([128, 1152, 14, 14], f16), T([128, 384, 14, 14], f16), T([1152, 384, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([128, 1152, 6, 6], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tinynet_a
((T([128, 1152, 6, 6], f16), T([128, 192, 6, 6], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([128, 1152, 7, 7], f16), T([1152, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 1152, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/tf_efficientnet_b0
((T([128, 1152, 7, 7], f16), T([128, 192, 7, 7], f16), T([1152, 192, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), T([116, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 116, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([128, 116, 14, 14], f16, stride=(45472, 196, 14, 1)), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 14, 14], f16), T([128, 116, 28, 28], f16), T([116, 1, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 116, [True, True, False]), {})
aten.convolution_backward.default
TorchBench/shufflenet_v2_x1_0
((T([128, 116, 28, 28], f16), T([128, 116, 28, 28], f16), T([116, 116, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/rexnet_100
((T([128, 117, 14, 14], f16), T([128, 636, 14, 14], f16), T([117, 636, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 12, 56, 56], f16), T([128, 12, 56, 56], f16), T([12, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 12, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 12, 56, 56], f16), T([128, 48, 56, 56], f16), T([12, 48, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 12, 56, 56], f16), T([128, 72, 56, 56], f16), T([12, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 1, 1], f16), T([128, 16, 1, 1], f16), T([120, 16, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 120, 1, 1], f16), T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 120, 1, 1], f16), T([128, 32, 1, 1], f16), T([120, 32, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/hardcorenas_a
((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 120, 1, 1], f16), T([128, 480, 1, 1], f16), T([120, 480, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 1, 1], f16), T([128, 8, 1, 1], f16), T([120, 8, 1, 1], f16), [120], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 14, 14], f16), T([128, 360, 14, 14], f16), T([120, 360, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 120, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 5, 5], f16), [120], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, True]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 120, 14, 14], f16, stride=(62720, 1, 4480, 320)), T([128, 120, 14, 14], f16, stride=(189120, 1, 13440, 960)), T([120, 1, 7, 7], f16), [120], [1, 1], [3, 3], [1, 1], False, [0, 0], 120, [True, True, True]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 120, 28, 28], f16), T([128, 120, 28, 28], f16), T([120, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([128, 120, 56, 56], f16), T([120, 1, 5, 5], f16), [0], [2, 2], [2, 2], [1, 1], False, [0, 0], 120, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/ghostnet_100
((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mnasnet_100
((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/mobilenetv3_large_100
((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/spnasnet_100
((T([128, 120, 28, 28], f16), T([128, 40, 28, 28], f16), T([120, 40, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/fbnetv3_b
((T([128, 120, 56, 56], f16), T([128, 24, 56, 56], f16), T([120, 24, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/dm_nfnet_f0
((T([128, 128, 1, 1], f16), T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TorchBench/timm_nfnet
((T([128, 128, 1, 1], f16), T([128, 256, 1, 1], f16), T([128, 256, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 128, 1, 1], f16), T([128, 32, 1, 1], f16), T([128, 32, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 128, 1, 1], f16), T([128, 512, 1, 1], f16), T([128, 512, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 1, 5, 5], f16), [0], [1, 1], [2, 2], [1, 1], False, [0, 0], 128, [True, True, False]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], 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/hrnet_w18
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], 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/res2next50
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 128, 14, 14], f16), T([128, 128, 14, 14], f16, stride=(100352, 196, 14, 1)), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})
aten.convolution_backward.default
TIMM/res2next50
((T([128, 128, 14, 14], f16), T([128, 128, 28, 28], f16, stride=(401408, 784, 28, 1)), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})
aten.convolution_backward.default
TIMM/lcnet_050
((T([128, 128, 14, 14], f16), T([128, 64, 14, 14], 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/rexnet_100
((T([128, 128, 14, 14], f16), T([128, 702, 14, 14], f16), T([128, 702, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/hrnet_w18
((T([128, 128, 14, 14], f16), T([128, 72, 14, 14], f16), T([128, 72, 1, 1], f16), [0], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/levit_128
((T([128, 128, 14, 14], f16, stride=(25088, 1, 1792, 128)), T([128, 64, 28, 28], 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/eca_halonext26ts
((T([128, 128, 16, 16], f16), T([128, 256, 16, 16], 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/adv_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 1, 7], f16), [0], [1, 1], [0, 3], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/inception_v3
((T([128, 128, 17, 17], f16), T([128, 128, 17, 17], f16), T([128, 128, 7, 1], f16), [0], [1, 1], [3, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/adv_inception_v3
((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], 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/gluon_inception_v3
((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], 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/inception_v3
((T([128, 128, 17, 17], f16), T([128, 768, 17, 17], 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/resnet18
((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], 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/nfnet_l0
((T([128, 128, 28, 28], f16), T([128, 128, 28, 28], f16), T([128, 64, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16), T([128, 128, 56, 56], f16), T([128, 64, 3, 3], f16), [128], [2, 2], [1, 1], [1, 1], False, [0, 0], 2, [True, True, True]), {})
aten.convolution_backward.default
TIMM/nfnet_l0
((T([128, 128, 28, 28], f16), T([128, 512, 28, 28], f16), T([128, 512, 1, 1], f16), [128], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([128, 64, 56, 56], f16), T([128, 64, 1, 1], f16), [0], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, False]), {})
aten.convolution_backward.default
TIMM/resnet18
((T([128, 128, 28, 28], f16), T([128, 64, 56, 56], 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/coat_lite_mini
((T([128, 128, 28, 28], f16, stride=(100352, 1, 3584, 128)), T([128, 64, 56, 56], f16), T([128, 64, 2, 2], f16), [128], [2, 2], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {})
aten.convolution_backward.default
TIMM/coat_lite_mini
((T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 128, 28, 28], f16, stride=(100480, 1, 3584, 128)), T([128, 1, 3, 3], f16), [128], [1, 1], [1, 1], [1, 1], False, [0, 0], 128, [True, True, True]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 128, 32, 32], f16), T([128, 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/eca_botnext26ts_256
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})
aten.convolution_backward.default
TIMM/eca_halonext26ts
((T([128, 128, 32, 32], f16), T([128, 128, 32, 32], f16), T([128, 16, 3, 3], f16), [0], [1, 1], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})
aten.convolution_backward.default
TIMM/botnet26t_256
((T([128, 128, 32, 32], f16), T([128, 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/eca_botnext26ts_256
((T([128, 128, 32, 32], f16), T([128, 128, 64, 64], f16), T([128, 16, 3, 3], f16), [0], [2, 2], [1, 1], [1, 1], False, [0, 0], 8, [True, True, False]), {})