pass2_dispatch:
- op: "p"
kind: noop
method: pass2_noop
- op: "0.combine"
kind: noop
method: pass2_noop
- op: "0.split"
kind: noop
method: pass2_noop
- op: "1.full"
kind: typed
method: op_full
- op: "1.full_int_array"
kind: typed
method: op_full
- op: "1.assign_value_"
kind: simple
method: op_assign_value
- op: "1.data"
kind: simple
method: op_data
- op: "1.fetch"
kind: simple
method: op_fetch
- op: "1.cast"
kind: simple
method: op_cast
- op: "1.matmul"
kind: simple
method: op_matmul
- op: "1.matmul_v2"
kind: simple
method: op_matmul
- op: "1.clip"
kind: simple
method: op_clip
- op: "1.slice"
kind: simple
method: op_slice
- op: "1.squeeze"
kind: simple
method: op_squeeze
- op: "1.squeeze_"
kind: simple
method: op_squeeze
- op: "1.unsqueeze"
kind: simple
method: op_unsqueeze
- op: "1.unsqueeze_"
kind: simple
method: op_unsqueeze
- op: "1.flatten"
kind: simple
method: op_flatten
- op: "1.scale"
kind: simple
method: op_scale
- op: "1.swish"
kind: simple
method: op_swish
- op: "1.silu"
kind: simple
method: op_silu
- op: "1.hardswish"
kind: simple
method: op_hardswish
- op: "1.gelu"
kind: simple
method: op_gelu
- op: "1.stack"
kind: simple
method: op_stack
- op: "1.concat"
kind: simple
method: op_concat
- op: "1.split"
kind: typed
method: op_split_family
- op: "1.split_with_num"
kind: typed
method: op_split_family
- op: "1.nearest_interp"
kind: simple
method: op_nearest_interp
- op: "1.bilinear_interp"
kind: simple
method: op_bilinear_interp
- op: "1.arange"
kind: simple
method: op_arange
- op: "1.pool2d"
kind: simple
method: op_pool2d
- op: "1.batch_norm_"
kind: simple
method: op_batch_norm
- op: "1.batch_norm"
kind: simple
method: op_batch_norm
- op: "1.conv2d_transpose"
kind: simple
method: op_conv2d_transpose
- op: "1.conv2d_transpose_"
kind: simple
method: op_conv2d_transpose
- op: "1.expand"
kind: simple
method: op_expand
- op: "1.full_like"
kind: simple
method: op_full_like
- op: "1.full_with_tensor"
kind: simple
method: op_full_with_tensor
- op: "1.eye"
kind: simple
method: op_eye
- op: "1.max"
kind: simple
method: op_reduce_max
- op: "1.mean"
kind: simple
method: op_reduce_mean
- op: "1.min"
kind: simple
method: op_reduce_min
- op: "1.sum"
kind: simple
method: op_reduce_sum
- op: "1.topk"
kind: simple
method: op_topk
- op: "1.argmax"
kind: simple
method: op_argmax
- op: "1.any"
kind: arg
method: op_any_all
args: ["true"]
- op: "1.all"
kind: arg
method: op_any_all
args: ["false"]
- op: "1.argsort"
kind: simple
method: op_argsort
- op: "1.gather"
kind: simple
method: op_gather
- op: "1.index_select"
kind: simple
method: op_index_select
- op: "1.embedding"
kind: simple
method: op_embedding
- op: "1.take_along_axis"
kind: simple
method: op_take_along_axis
- op: "1.one_hot"
kind: simple
method: op_one_hot
- op: "1.not_equal"
kind: simple
method: op_not_equal
- op: "1.multiclass_nms3"
kind: simple
method: op_multiclass_nms3
- op: "1.floor_divide"
kind: simple
method: op_floor_divide
- op: "1.grid_sample"
kind: simple
method: op_grid_sample
- op: "1.flip"
kind: simple
method: op_flip
- op: "1.cumsum"
kind: simple
method: op_cumsum
- op: "1.einsum"
kind: simple
method: op_einsum
- op: "1.meshgrid"
kind: simple
method: op_meshgrid
- op: "1.group_norm"
kind: simple
method: op_group_norm
- op: "1.if"
kind: simple
method: op_if
- op: "1.index_put"
kind: simple
method: op_index_put
- op: "1.set_value_"
kind: simple
method: op_set_value
- op: "1.set_value_with_tensor_"
kind: simple
method: op_set_value_with_tensor
- op: "1.pad"
kind: simple
method: op_pad
- op: "1.pad3d"
kind: simple
method: op_pad3d
- op: "1.pow"
kind: simple
method: op_pow
- op: "1.prelu"
kind: simple
method: op_prelu
- op: "1.put_along_axis"
kind: simple
method: op_put_along_axis
- op: "1.repeat_interleave"
kind: simple
method: op_repeat_interleave
- op: "1.repeat_interleave_with_tensor_index"
kind: simple
method: op_repeat_interleave
- op: "1.roll"
kind: simple
method: op_roll
- op: "1.strided_slice"
kind: simple
method: op_strided_slice
- op: "1.tril"
kind: arg
method: op_trilu
args: ["false"]
- op: "1.triu"
kind: arg
method: op_trilu
args: ["true"]
- op: "1.dropout"
kind: simple
method: op_dropout
- op: "1.tile"
kind: simple
method: op_tile
- op: "1.bitwise_and"
kind: simple
method: op_bitwise_and
- op: "1.multiply"
kind: simple
method: op_multiply
- op: "1.multinomial"
kind: simple
method: op_multinomial
- op: "1.unbind"
kind: simple
method: op_unbind
- op: "1.bitwise_not"
kind: simple
method: op_bitwise_not
- op: "1.while"
kind: simple
method: op_while
- op: "2.yield"
kind: noop
method: pass2_noop
op_type_map:
- paddle: ["conv2d", "depthwise_conv2d"]
onnx: "Conv"
- paddle: ["add"]
onnx: "Add"
- paddle: ["relu"]
onnx: "Relu"
- paddle: ["pool2d"]
onnx: "MaxPool"
- paddle: ["batch_norm", "batch_norm_"]
onnx: "BatchNormalization"
- paddle: ["matmul", "matmul_v2", "bmm"]
onnx: "MatMul"
- paddle: ["reshape"]
onnx: "Reshape"
- paddle: ["transpose"]
onnx: "Transpose"
- paddle: ["softmax"]
onnx: "Softmax"
- paddle: ["conv2d_transpose"]
onnx: "ConvTranspose"
- paddle: ["nearest_interp"]
onnx: "Resize"
- paddle: ["sigmoid"]
onnx: "Sigmoid"
- paddle: ["assign", "share_data"]
onnx: "Identity"
- paddle: ["equal"]
onnx: "Equal"
- paddle: ["shape64", "shape"]
onnx: "Shape"
- paddle: ["flatten"]
onnx: "Flatten"
- paddle: ["hardsigmoid"]
onnx: "HardSigmoid"
- paddle: ["hardswish"]
onnx: "HardSwish"
- paddle: ["layer_norm"]
onnx: "LayerNormalization"
- paddle: ["logical_and", "bitwise_and"]
onnx: "And"
- paddle: ["logical_not"]
onnx: "Not"
- paddle: ["logical_or"]
onnx: "Or"
- paddle: ["squeeze", "squeeze_"]
onnx: "Squeeze"
- paddle: ["unsqueeze", "unsqueeze_"]
onnx: "Unsqueeze"
- paddle: ["clip"]
onnx: "Clip"
- paddle: ["ceil"]
onnx: "Ceil"
- paddle: ["divide"]
onnx: "Div"
- paddle: ["floor"]
onnx: "Floor"
- paddle: ["gather_nd"]
onnx: "GatherND"
- paddle: ["log"]
onnx: "Log"
- paddle: ["multiply"]
onnx: "Mul"
- paddle: ["range", "arange"]
onnx: "Range"
- paddle: ["remainder"]
onnx: "Mod"
- paddle: ["subtract"]
onnx: "Sub"
- paddle: ["tanh"]
onnx: "Tanh"
- paddle: ["tile"]
onnx: "Tile"
- paddle: ["where"]
onnx: "Where"
- paddle: ["abs"]
onnx: "Abs"
- paddle: ["cos"]
onnx: "Cos"
- paddle: ["elementwise_pow"]
onnx: "Pow"
- paddle: ["expand"]
onnx: "Expand"
- paddle: ["greater_equal"]
onnx: "GreaterOrEqual"
- paddle: ["greater_than"]
onnx: "Greater"
- paddle: ["sin"]
onnx: "Sin"
- paddle: ["less_equal"]
onnx: "LessOrEqual"
- paddle: ["less_than"]
onnx: "Less"
- paddle: ["sqrt"]
onnx: "Sqrt"