zoufangyu1987 opened a new issue #5462:
URL: https://github.com/apache/incubator-tvm/issues/5462


     File "/data_1/TVM/TVM/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 
219, in __call__
       raise get_last_ffi_error()
   
   tvm._ffi.base.TVMError: Traceback (most recent call last):
     [bt] (8) /data_1/TVM/TVM/tvm/build/libtvm.so(TVMFuncCall+0x65) 
[0x7f95b6864615]
     [bt] (7) /data_1/TVM/TVM/tvm/build/libtvm.so(+0xa0dfb4) [0x7f95b5f25fb4]
     [bt] (6) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::IRModule::FromExpr(tvm::RelayExpr 
const&, tvm::Map<tvm::GlobalVar, tvm::BaseFunc, void, void> const&, 
tvm::Map<tvm::GlobalTypeVar, tvm::TypeData, void, void> const&)+0x26e) 
[0x7f95b5f21d9e]
     [bt] (5) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::IRModuleNode::Add(tvm::GlobalVar 
const&, tvm::BaseFunc const&, bool)+0x3cf) [0x7f95b5f2191f]
     [bt] (4) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::RunTypeCheck(tvm::IRModule const&, 
tvm::GlobalVar const&, tvm::relay::Function)+0x25e) [0x7f95b5f1de5e]
     [bt] (3) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::relay::InferType(tvm::relay::Function 
const&, tvm::IRModule const&, tvm::GlobalVar const&)+0x1dd) [0x7f95b661c4fd]
     [bt] (2) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::relay::TypeInferencer::Infer(tvm::RelayExpr)+0x71)
 [0x7f95b661bd31]
     [bt] (1) 
/data_1/TVM/TVM/tvm/build/libtvm.so(tvm::ErrorReporter::RenderErrors(tvm::IRModule
 const&, bool)+0x2292) [0x7f95b5f5ea22]
     [bt] (0) 
/data_1/TVM/TVM/tvm/build/libtvm.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x7c)
 [0x7f95b5ed859c]
     File "/data_1/TVM/TVM/tvm/src/ir/error.cc", line 133
   TVMError: 
   Error(s) have occurred. The program has been annotated with them:
   
   In `main`: 
   v0.0.4
   
   
   
   %181 = nn.conv2d_transpose(%180, %v1479, channels=1, kernel_size=[4, 4], 
strides=[2, 2], padding=[1, 1, 1, 1], groups=256) in particular dimension 1 
conflicts 0 does not match 1; unable to unify: `Tensor[(256, 0, 4, 4), 
float32]` and `Tensor[(256, 1, 4, 4), float32]`; ;
     %182 = (%175, %181);
     %183 = concatenate(%182, axis=1);
     nn.conv2d(%183, %v1505, padding=[1, 1, 1, 1], channels=256, 
kernel_size=[3, 3]) in particular dimension 1 conflicts 257 does not match 512; 
unable to unify: `Tensor[(256, 257, 3, 3), float32]` and `Tensor[(256, 512, 3, 
3), float32]`; 
   }
   
   


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