CPUExecutionProvider
    unchanged

CUDAExecutionProvider
    unchanged

CoreMLExecutionProvider
    -1 Transpose perm=(0, 3, 1, 2)
    177 nodes, weights cec0648fd947
    FuseBatchNormIntoConv, _FoldBiasAdd x4 f34c76f1
    _FoldAsymmetricConvs, _FoldBiasAdd, _FoldBiasAdd, _FoldBiasAdd x12 5400703b
    _FoldBiasAdd x77 b88346ee
    _FuseErfGelu x13 837b6556
    unstamped x71 957d1144

MIGraphXExecutionProvider
    -2 Conv auto_pad=SAME_UPPER dilations=(1, 1) group=1 kernel_shape=(2, 2) strides=(1, 1)
    +2 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(1, 1)
    178 nodes, weights 74673ca875bf
    FuseBatchNormIntoConv, _FoldBiasAdd x4 f34c76f1
    SymmetrizeConvPads, _FoldBiasAdd x2 67f062ca
    _FoldAsymmetricConvs, _FoldBiasAdd, _FoldBiasAdd, _FoldBiasAdd x12 5400703b
    _FoldBiasAdd x75 7cc8ab48
    _FuseErfGelu x13 837b6556
    unstamped x72 bb40f7c7

NvTensorRTRTXExecutionProvider
    unchanged

OpenVINOExecutionProvider
    unchanged

RKNPU height=1472 width=736
    +26 Mul
    +17 Add
    +13 Div
    +13 Erf
    -13 Gelu approximate=none
    +3 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(1, 1)
    -2 Concat axis=1
    -1 Cast to=1
    +1 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(2, 2)
    -1 Sub
    -1 Transpose perm=(0, 3, 1, 2)
    233 nodes, weights 9d280467bf08
    config {'mean_values': [[127.5, 127.5, 127.5]], 'std_values': [[1.0, 1.0, 1.0]]}
    contract {"dims":[{"height":1472,"width":736},{"height":736,"width":736},{"height":992,"width":736},{"height":736,"width":992},{"height":1120,"width":736},{"height":736,"width":1120},{"height":736,"width":1472}]}
    opset 19
    DecomposeGelu, _FuseErfGelu x65 806e4876
    FoldConcatIntoConv, _FoldBiasAdd x10 7429e6fe
    FuseBatchNormIntoConv, _FoldBiasAdd x4 f34c76f1
    _FoldAsymmetricConvs, _FoldBiasAdd, _FoldBiasAdd, _FoldBiasAdd x12 5400703b
    _FoldBiasAdd x75 dc2c1362
    unstamped x67 492b6de5

RKNPU height=2176 width=1088
    +26 Mul
    +17 Add
    +13 Div
    +13 Erf
    -13 Gelu approximate=none
    +3 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(1, 1)
    -2 Concat axis=1
    -1 Cast to=1
    +1 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(2, 2)
    -1 Sub
    -1 Transpose perm=(0, 3, 1, 2)
    233 nodes, weights 9d280467bf08
    config {'mean_values': [[127.5, 127.5, 127.5]], 'std_values': [[1.0, 1.0, 1.0]]}
    contract {"dims":[{"height":2176,"width":1088},{"height":1088,"width":1088},{"height":1472,"width":1088},{"height":1088,"width":1472},{"height":1632,"width":1088},{"height":1088,"width":1632},{"height":1088,"width":2176}]}
    opset 19
    DecomposeGelu, _FuseErfGelu x65 806e4876
    FoldConcatIntoConv, _FoldBiasAdd x10 7429e6fe
    FuseBatchNormIntoConv, _FoldBiasAdd x4 f34c76f1
    _FoldAsymmetricConvs, _FoldBiasAdd, _FoldBiasAdd, _FoldBiasAdd x12 5400703b
    _FoldBiasAdd x75 dc2c1362
    unstamped x67 492b6de5

RKNPU height=2880 width=1440
    +26 Mul
    +17 Add
    +13 Div
    +13 Erf
    -13 Gelu approximate=none
    +3 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(1, 1)
    -2 Concat axis=1
    -1 Cast to=1
    +1 Conv dilations=(1, 1) group=1 kernel_shape=(3, 3) pads=(1, 1, 1, 1) strides=(2, 2)
    -1 Sub
    -1 Transpose perm=(0, 3, 1, 2)
    233 nodes, weights 9d280467bf08
    config {'mean_values': [[127.5, 127.5, 127.5]], 'std_values': [[1.0, 1.0, 1.0]]}
    contract {"dims":[{"height":2880,"width":1440},{"height":1440,"width":1440},{"height":1920,"width":1440},{"height":1440,"width":1920},{"height":2176,"width":1440},{"height":1440,"width":2176},{"height":1440,"width":2880}]}
    opset 19
    DecomposeGelu, _FuseErfGelu x65 806e4876
    FoldConcatIntoConv, _FoldBiasAdd x10 7429e6fe
    FuseBatchNormIntoConv, _FoldBiasAdd x4 f34c76f1
    _FoldAsymmetricConvs, _FoldBiasAdd, _FoldBiasAdd, _FoldBiasAdd x12 5400703b
    _FoldBiasAdd x75 dc2c1362
    unstamped x67 492b6de5

TensorrtExecutionProvider
    unchanged
