你好，还是有问题，先将onnx转成静态模型倒是可以。@320 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@6) -> float_type, {1, 640, 4}, {2560, 4, 1} @321 = gather[axis=0](@4,@140) -> int64_type, {1}, {0} @322 = convert[target_type=9](@321) -> int64_type, {1}, {0} @323 = gather[axis=0](@2,@137) -> int64_type, {1}, {0} @324 = convert[target_type=9](@323) -> int64_type, {1}, {0} @325 = slice[axes={0},starts={0},ends={4}](@1) -> int64_type, {4}, {1} @326 = reshape[dims={-1, 1}](@3) -> int64_type, {640, 1}, {1, 1} @327 = multibroadcast[out_lens={1, 640, 1},out_dyn_dims={}](@129) -> int64_type, {1, 640, 1}, {1, 0, 1} @328 = multibroadcast[out_lens={1, 640, 1},out_dyn_dims={}](@326) -> int64_type, {1, 640, 1}, {0, 1, 1} @329 = add(@327,@328) -> int64_type, {1, 640, 1}, {0, 1, 1} @330 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@329) -> int64_type, {1, 640, 4}, {0, 1, 0} @331 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@325) -> int64_type, {1, 640, 4}, {0, 0, 1} @332 = add(@330,@331) -> int64_type, {1, 640, 4}, {2560, 4, 1} @333 = equal(@0,@128) -> int64_type, {3}, {1} @334 = convert[target_type=0](@333) -> bool_type, {3}, {1} @335 = where(@334,@127,@0) -> int64_type, {3}, {1} @336 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@129) -> int64_type, {1, 640, 4}, {1, 0, 0} @337 = contiguous(@336) -> int64_type, {1, 640, 4}, {2560, 4, 1} @338 = unsqueeze[axes={-1},steps={}](@337) -> int64_type, {1, 640, 4, 1}, {2560, 4, 1, 1} @339 = equal(@0,@125) -> int64_type, {3}, {1} @340 = convert[target_type=0](@339) -> bool_type, {3}, {1} @341 = where(@340,@124,@0) -> int64_type, {3}, {1} @342 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@326) -> int64_type, {1, 640, 4}, {0, 1, 0} @343 = contiguous(@342) -> int64_type, {1, 640, 4}, {2560, 4, 1} @344 = unsqueeze[axes={-1},steps={}](@343) -> int64_type, {1, 640, 4, 1}, {2560, 4, 1, 1} @345 = equal(@0,@122) -> int64_type, {3}, {1} @346 = convert[target_type=0](@345) -> bool_type, {3}, {1} @347 = where(@346,@121,@0) -> int64_type, {3}, {1} @348 = multibroadcast[out_lens={1, 640, 4},out_dyn_dims={}](@325) -> int64_type, {1, 640, 4}, {0, 0, 1} @349 = contiguous(@348) -> int64_type, {1, 640, 4}, {2560, 4, 1} @350 = unsqueeze[axes={-1},steps={}](@349) -> int64_type, {1, 640, 4, 1}, {2560, 4, 1, 1} @351 = concat[axis=-1](@338,@344,@350) -> int64_type, {1, 640, 4, 3}, {7680, 12, 3, 1} terminate called after throwing an instance of 'migraphx::version_5_1_0::exception' what(): /home/migraphx/src/include/migraphx/check_shapes.hpp:233: same_ndims: concat: Number of dimensions do not match Aborted (core dumped)

麻烦发下完整命令。并且可以先检查下模型各层是否有固定shape或者动态调整shape的操作