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Posted to commits@tvm.apache.org by "jikechao (via GitHub)" <gi...@apache.org> on 2023/04/25 08:23:44 UTC

[GitHub] [tvm] jikechao opened a new issue, #14718: [Bug][Relay] The Relay type checker is unable to show the following types match

jikechao opened a new issue, #14718:
URL: https://github.com/apache/tvm/issues/14718

   
   ### Steps to reproduce
   ```
   import tvm
   import tvm.relay as relay
   import numpy as np
   from tensorflow import keras
   from tensorflow.keras import layers, models
   
   
   input_shape = (2, 3, 4)
   input_data = np.random.random(input_shape)
   x = layers.Input(shape=input_shape[1:], dtype='float32')
   
   layer = keras.layers.BatchNormalization() 
   layer.set_weights(layer.get_weights())
   
   y = layer(x)
   model = models.Model(x, y)
   print(model.summary())
   
   shape_dict = {'input_1': input_shape}
   mod, params = relay.frontend.from_keras(model, shape_dict)
   
   with tvm.transform.PassContext(opt_level=3):
       model = relay.build_module.create_executor("graph", mod, tvm.cpu(0), 'llvm', params).evaluate()
   
   ```
   
   ### StackTrace
   ```
   The Relay type checker is unable to show the following types match:
     Tensor[(3), float32]
     Tensor[(4), float32]
   In particular:
     dimension 0 conflicts: 3 does not match 4.
   The Relay type checker is unable to show the following types match.
   In particular `Tensor[(4), float32]` does not match `Tensor[(3), float32]`
   The Relay type checker is unable to show the following types match:
     Tensor[(3), float32]
     Tensor[(4), float32]
   In particular:
     dimension 0 conflicts: 3 does not match 4.
   The Relay type checker is unable to show the following types match.
   In particular `Tensor[(4), float32]` does not match `Tensor[(3), float32]`
   The Relay type checker is unable to show the following types match:
     Tensor[(3), float32]
     Tensor[(4), float32]
   In particular:
     dimension 0 conflicts: 3 does not match 4.
   The Relay type checker is unable to show the following types match.
   In particular `Tensor[(4), float32]` does not match `Tensor[(3), float32]`
   The Relay type checker is unable to show the following types match:
     Tensor[(3), float32]
     Tensor[(4), float32]
   In particular:
     dimension 0 conflicts: 3 does not match 4.
   The Relay type checker is unable to show the following types match.
   In particular `Tensor[(4), float32]` does not match `Tensor[(3), float32]`
   Traceback (most recent call last):
     File "test.py", line 23, in <module>
       model = relay.build_module.create_executor("graph", mod, tvm.cpu(0), 'llvm', params).evaluate()
     File "/workplace/software/tvm/tvm/python/tvm/relay/backend/interpreter.py", line 171, in evaluate
       return self._make_executor()
     File "/workplace/software/tvm/tvm/python/tvm/relay/build_module.py", line 513, in _make_executor
       self.mod = InferType()(self.mod)
     File "/workplace/software/tvm/tvm/python/tvm/ir/transform.py", line 160, in __call__
       return _ffi_transform_api.RunPass(self, mod)
     File "/workplace/software/tvm/tvm/python/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
       raise get_last_ffi_error()
   tvm.error.DiagnosticError: Traceback (most recent call last):
     7: TVMFuncCall
     6: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::transform::Pass, tvm::IRModule)>::AssignTypedLambda<tvm::transform::$_6>(tvm::transform::$_6, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
     5: tvm::transform::Pass::operator()(tvm::IRModule) const
     4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
     3: tvm::transform::ModulePassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
     2: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::IRModule, tvm::transform::PassContext)>::AssignTypedLambda<tvm::relay::transform::InferType()::$_2>(tvm::relay::transform::InferType()::$_2)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
     1: tvm::DiagnosticContext::Render()
     0: _ZN3tvm7runtime6detail
     File "/workplace/software/tvm/tvm/src/ir/diagnostic.cc", line 131
   DiagnosticError: one or more error diagnostics were emitted, please check diagnostic render for output.
   ```
   
   
   ### Triage
   
   * flow:relay
   


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Re: [I] [Bug][Relay] The Relay type checker is unable to show the following types match [tvm]

Posted by "tqchen (via GitHub)" <gi...@apache.org>.
tqchen closed issue #14718: [Bug][Relay] The Relay type checker is unable to show the following types match
URL: https://github.com/apache/tvm/issues/14718


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