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  1. Traceback (most recent call last):
  2. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  3. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  4. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  5. func = build(s, args, target_host=task.target_host, runtime=runtime)
  6. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  7. input_mod = lower(inputs, args, name=name, binds=binds)
  8. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  9. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  10. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  11. raise get_last_ffi_error()
  12. tvm._ffi.base.TVMError: Traceback (most recent call last):
  13. 10: TVMFuncCall
  14. 9: _ZN3tvm7runtime13PackedFun
  15. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  16. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  17. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  18. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  19. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  20. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  21. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  22. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  23. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  24. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  25. rv = local_pyfunc(*pyargs)
  26. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  27. raise InstantiationError("Skipped because of invalid gpu kernel")
  28. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  29.  
  30. Traceback (most recent call last):
  31. 10: TVMFuncCall
  32. 9: _ZN3tvm7runtime13PackedFun
  33. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  34. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  35. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  36. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  37. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  38. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  39. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  40. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  41. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  42. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  43. rv = local_pyfunc(*pyargs)
  44. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  45. raise InstantiationError("Skipped because of invalid gpu kernel")
  46. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  47. Traceback (most recent call last):
  48. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  49. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  50. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  51. func = build(s, args, target_host=task.target_host, runtime=runtime)
  52. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  53. input_mod = lower(inputs, args, name=name, binds=binds)
  54. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  55. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  56. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  57. raise get_last_ffi_error()
  58. tvm._ffi.base.TVMError: Traceback (most recent call last):
  59. 10: TVMFuncCall
  60. 9: _ZN3tvm7runtime13PackedFun
  61. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  62. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  63. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  64. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  65. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  66. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  67. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  68. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  69. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  70. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  71. rv = local_pyfunc(*pyargs)
  72. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  73. raise InstantiationError("Skipped because of invalid gpu kernel")
  74. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  75.  
  76. Traceback (most recent call last):
  77. 10: TVMFuncCall
  78. 9: _ZN3tvm7runtime13PackedFun
  79. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  80. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  81. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  82. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  83. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  84. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  85. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  86. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  87. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  88. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  89. rv = local_pyfunc(*pyargs)
  90. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  91. raise InstantiationError("Skipped because of invalid gpu kernel")
  92. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  93. Traceback (most recent call last):
  94. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  95. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  96. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  97. func = build(s, args, target_host=task.target_host, runtime=runtime)
  98. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  99. input_mod = lower(inputs, args, name=name, binds=binds)
  100. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  101. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  102. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  103. raise get_last_ffi_error()
  104. tvm._ffi.base.TVMError: Traceback (most recent call last):
  105. 10: TVMFuncCall
  106. 9: _ZN3tvm7runtime13PackedFun
  107. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  108. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  109. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  110. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  111. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  112. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  113. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  114. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  115. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  116. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  117. rv = local_pyfunc(*pyargs)
  118. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  119. raise InstantiationError("Skipped because of invalid gpu kernel")
  120. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  121.  
  122. Traceback (most recent call last):
  123. 10: TVMFuncCall
  124. 9: _ZN3tvm7runtime13PackedFun
  125. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  126. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  127. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  128. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  129. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  130. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  131. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  132. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  133. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  134. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  135. rv = local_pyfunc(*pyargs)
  136. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  137. raise InstantiationError("Skipped because of invalid gpu kernel")
  138. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  139. Traceback (most recent call last):
  140. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  141. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  142. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  143. func = build(s, args, target_host=task.target_host, runtime=runtime)
  144. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  145. input_mod = lower(inputs, args, name=name, binds=binds)
  146. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  147. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  148. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  149. raise get_last_ffi_error()
  150. tvm._ffi.base.TVMError: Traceback (most recent call last):
  151. 10: TVMFuncCall
  152. 9: _ZN3tvm7runtime13PackedFun
  153. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  154. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  155. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  156. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  157. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  158. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  159. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  160. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  161. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  162. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  163. rv = local_pyfunc(*pyargs)
  164. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  165. raise InstantiationError("Skipped because of invalid gpu kernel")
  166. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  167.  
  168. Traceback (most recent call last):
  169. 10: TVMFuncCall
  170. 9: _ZN3tvm7runtime13PackedFun
  171. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  172. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  173. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  174. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  175. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  176. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  177. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  178. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  179. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  180. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  181. rv = local_pyfunc(*pyargs)
  182. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  183. raise InstantiationError("Skipped because of invalid gpu kernel")
  184. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  185. Traceback (most recent call last):
  186. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  187. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  188. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  189. func = build(s, args, target_host=task.target_host, runtime=runtime)
  190. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  191. input_mod = lower(inputs, args, name=name, binds=binds)
  192. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  193. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  194. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  195. raise get_last_ffi_error()
  196. tvm._ffi.base.TVMError: Traceback (most recent call last):
  197. 10: TVMFuncCall
  198. 9: _ZN3tvm7runtime13PackedFun
  199. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  200. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  201. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  202. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  203. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  204. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  205. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  206. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  207. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  208. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  209. rv = local_pyfunc(*pyargs)
  210. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  211. raise InstantiationError("Skipped because of invalid gpu kernel")
  212. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  213.  
  214. Traceback (most recent call last):
  215. 10: TVMFuncCall
  216. 9: _ZN3tvm7runtime13PackedFun
  217. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  218. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  219. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  220. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  221. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  222. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  223. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  224. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  225. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  226. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  227. rv = local_pyfunc(*pyargs)
  228. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  229. raise InstantiationError("Skipped because of invalid gpu kernel")
  230. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  231. Traceback (most recent call last):
  232. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  233. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  234. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  235. func = build(s, args, target_host=task.target_host, runtime=runtime)
  236. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  237. input_mod = lower(inputs, args, name=name, binds=binds)
  238. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  239. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  240. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  241. raise get_last_ffi_error()
  242. tvm._ffi.base.TVMError: Traceback (most recent call last):
  243. 10: TVMFuncCall
  244. 9: _ZN3tvm7runtime13PackedFun
  245. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  246. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  247. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  248. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  249. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  250. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  251. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  252. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  253. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  254. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  255. rv = local_pyfunc(*pyargs)
  256. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  257. raise InstantiationError("Skipped because of invalid gpu kernel")
  258. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  259.  
  260. Traceback (most recent call last):
  261. 10: TVMFuncCall
  262. 9: _ZN3tvm7runtime13PackedFun
  263. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  264. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  265. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  266. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  267. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  268. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  269. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  270. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  271. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  272. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  273. rv = local_pyfunc(*pyargs)
  274. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  275. raise InstantiationError("Skipped because of invalid gpu kernel")
  276. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  277. Traceback (most recent call last):
  278. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  279. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  280. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  281. func = build(s, args, target_host=task.target_host, runtime=runtime)
  282. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  283. input_mod = lower(inputs, args, name=name, binds=binds)
  284. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  285. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  286. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  287. raise get_last_ffi_error()
  288. tvm._ffi.base.TVMError: Traceback (most recent call last):
  289. 10: TVMFuncCall
  290. 9: _ZN3tvm7runtime13PackedFun
  291. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  292. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  293. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  294. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  295. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  296. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  297. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  298. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  299. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  300. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  301. rv = local_pyfunc(*pyargs)
  302. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  303. raise InstantiationError("Skipped because of invalid gpu kernel")
  304. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  305.  
  306. Traceback (most recent call last):
  307. 10: TVMFuncCall
  308. 9: _ZN3tvm7runtime13PackedFun
  309. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  310. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  311. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  312. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  313. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  314. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  315. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  316. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  317. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  318. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  319. rv = local_pyfunc(*pyargs)
  320. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  321. raise InstantiationError("Skipped because of invalid gpu kernel")
  322. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  323. Traceback (most recent call last):
  324. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  325. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  326. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  327. func = build(s, args, target_host=task.target_host, runtime=runtime)
  328. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  329. input_mod = lower(inputs, args, name=name, binds=binds)
  330. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  331. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  332. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  333. raise get_last_ffi_error()
  334. tvm._ffi.base.TVMError: Traceback (most recent call last):
  335. 10: TVMFuncCall
  336. 9: _ZN3tvm7runtime13PackedFun
  337. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  338. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  339. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  340. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  341. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  342. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  343. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  344. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  345. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  346. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  347. rv = local_pyfunc(*pyargs)
  348. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  349. raise InstantiationError("Skipped because of invalid gpu kernel")
  350. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  351.  
  352. Traceback (most recent call last):
  353. 10: TVMFuncCall
  354. 9: _ZN3tvm7runtime13PackedFun
  355. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  356. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  357. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  358. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  359. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  360. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  361. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  362. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  363. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  364. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  365. rv = local_pyfunc(*pyargs)
  366. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  367. raise InstantiationError("Skipped because of invalid gpu kernel")
  368. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  369. Traceback (most recent call last):
  370. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  371. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  372. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  373. func = build(s, args, target_host=task.target_host, runtime=runtime)
  374. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  375. input_mod = lower(inputs, args, name=name, binds=binds)
  376. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  377. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  378. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  379. raise get_last_ffi_error()
  380. tvm._ffi.base.TVMError: Traceback (most recent call last):
  381. 10: TVMFuncCall
  382. 9: _ZN3tvm7runtime13PackedFun
  383. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  384. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  385. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  386. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  387. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  388. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  389. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  390. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  391. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  392. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  393. rv = local_pyfunc(*pyargs)
  394. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  395. raise InstantiationError("Skipped because of invalid gpu kernel")
  396. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  397.  
  398. Traceback (most recent call last):
  399. 10: TVMFuncCall
  400. 9: _ZN3tvm7runtime13PackedFun
  401. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  402. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  403. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  404. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  405. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  406. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  407. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  408. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  409. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  410. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  411. rv = local_pyfunc(*pyargs)
  412. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  413. raise InstantiationError("Skipped because of invalid gpu kernel")
  414. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  415. Traceback (most recent call last):
  416. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  417. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  418. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  419. func = build(s, args, target_host=task.target_host, runtime=runtime)
  420. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  421. input_mod = lower(inputs, args, name=name, binds=binds)
  422. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  423. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  424. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  425. raise get_last_ffi_error()
  426. tvm._ffi.base.TVMError: Traceback (most recent call last):
  427. 10: TVMFuncCall
  428. 9: _ZN3tvm7runtime13PackedFun
  429. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  430. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  431. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  432. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  433. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  434. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  435. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  436. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  437. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  438. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  439. rv = local_pyfunc(*pyargs)
  440. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  441. raise InstantiationError("Skipped because of invalid gpu kernel")
  442. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  443.  
  444. Traceback (most recent call last):
  445. 10: TVMFuncCall
  446. 9: _ZN3tvm7runtime13PackedFun
  447. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  448. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  449. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  450. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  451. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  452. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  453. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  454. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  455. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  456. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  457. rv = local_pyfunc(*pyargs)
  458. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  459. raise InstantiationError("Skipped because of invalid gpu kernel")
  460. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  461. Traceback (most recent call last):
  462. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 738, in __call__
  463. yield remote, remote.load_module(os.path.split(build_result.filename)[1])
  464. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 702, in run_through_rpc
  465. costs = time_f(*args).results
  466. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/runtime/module.py", line 357, in evaluator
  467. blob = feval(*args)
  468. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  469. raise get_last_ffi_error()
  470. tvm._ffi.base.TVMError: Traceback (most recent call last):
  471. 3: TVMFuncCall
  472. 2: tvm::runtime::RPCWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*) const
  473. 1: tvm::runtime::RPCClientSession::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)> const&)
  474. 0: tvm::runtime::RPCEndpoint::CallFunc(void*, TVMValue const*, int const*, int, std::function<void (tvm::runtime::TVMArgs)>)
  475. File "/tmp/tmpyloz6yj2/src/runtime/rpc/rpc_endpoint.cc", line 801
  476. TVMError:
  477. ---------------------------------------------------------------
  478. An error occurred during the execution of TVM.
  479. For more information, please see: https://tvm.apache.org/docs/errors.html
  480. ---------------------------------------------------------------
  481. Check failed: (code == RPCCode::kReturn) is false: code=kShutdown
  482.  
  483. During handling of the above exception, another exception occurred:
  484.  
  485. Traceback (most recent call last):
  486. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 702, in run_through_rpc
  487. costs = time_f(*args).results
  488. File "/usr/lib/python3.8/contextlib.py", line 131, in __exit__
  489. self.gen.throw(type, value, traceback)
  490. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 742, in __call__
  491. remote.remove(build_result.filename)
  492. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/rpc/client.py", line 143, in remove
  493. self._remote_funcs["remove"] = self.get_function("tvm.rpc.server.remove")
  494. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/rpc/client.py", line 71, in get_function
  495. return self._sess.get_function(name)
  496. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/runtime/module.py", line 169, in get_function
  497. check_call(
  498. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/base.py", line 348, in check_call
  499. raise get_last_ffi_error()
  500. tvm._ffi.base.TVMError: Traceback (most recent call last):
  501. 50: 0xffffffffffffffff
  502. 49: _start
  503. 48: __libc_start_main
  504. 47: Py_BytesMain
  505. 46: Py_RunMain
  506. 45: 0x0000000000677370
  507. 44: PyVectorcall_Call
  508. 43: _PyFunction_Vectorcall
  509. 42: _PyEval_EvalCodeWithName
  510. 41: 0x000000000049ec68
  511. 40: _PyFunction_Vectorcall
  512. 39: _PyEval_EvalCodeWithName
  513. 38: 0x000000000049ec68
  514. 37: 0x00000000005aa1b8
  515. 36: 0x000000000061c755
  516. 35: PyEval_EvalCode
  517. 34: _PyEval_EvalCodeWithName
  518. 33: 0x000000000049ec68
  519. 32: _PyFunction_Vectorcall
  520. 31: _PyEval_EvalCodeWithName
  521. 30: _PyEval_EvalFrameDefault
  522. 29: PyVectorcall_Call
  523. 28: _PyFunction_Vectorcall
  524. 27: _PyEval_EvalCodeWithName
  525. 26: _PyEval_EvalFrameDefault
  526. 25: 0x000000000046eb21
  527. 24: 0x00000000004fea57
  528. 23: _PyFunction_Vectorcall
  529. 22: 0x000000000049ca7b
  530. 21: 0x00000000004f7ccc
  531. 20: 0x00000000005e8238
  532. 19: 0x00000000005e8136
  533. 18: 0x00000000004f62a5
  534. 17: 0x000000000049ca7b
  535. 16: _PyFunction_Vectorcall
  536. 15: 0x000000000049ca7b
  537. 14: _PyFunction_Vectorcall
  538. 13: 0x000000000049ca7b
  539. 12: _PyFunction_Vectorcall
  540. 11: _PyEval_EvalCodeWithName
  541. 10: _PyEval_EvalFrameDefault
  542. 9: _PyObject_MakeTpCall
  543. 8: 0x00007f5be6d7d4e3
  544. 7: _ctypes_callproc
  545. 6: ffi_call
  546. 5: ffi_call_unix64
  547. 4: TVMModGetFunction
  548. 3: tvm::runtime::ModuleNode::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool) [clone .localalias.308]
  549. 2: tvm::runtime::RPCModuleNode::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, tvm::runtime::ObjectPtr<tvm::runtime::Object> const&)
  550. 1: tvm::runtime::RPCClientSession::GetFunction(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)
  551. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::RPCEndpoint::Init()::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  552. File "/tmp/tmpyloz6yj2/src/runtime/rpc/rpc_endpoint.cc", line 681
  553. TVMError:
  554. ---------------------------------------------------------------
  555. An error occurred during the execution of TVM.
  556. For more information, please see: https://tvm.apache.org/docs/errors.html
  557. ---------------------------------------------------------------
  558. Check failed: (code == RPCCode::kReturn) is false: code=1
  559.  
  560. Traceback (most recent call last):
  561. 50: 0xffffffffffffffff
  562. 49: _start
  563. 48: __libc_start_main
  564. 47: Py_BytesMain
  565. 46: Py_RunMain
  566. 45: 0x0000000000677370
  567. 44: PyVectorcall_Call
  568. 43: _PyFunction_Vectorcall
  569. 42: _PyEval_EvalCodeWithName
  570. 41: 0x000000000049ec68
  571. 40: _PyFunction_Vectorcall
  572. 39: _PyEval_EvalCodeWithName
  573. 38: 0x000000000049ec68
  574. 37: 0x00000000005aa1b8
  575. 36: 0x000000000061c755
  576. 35: PyEval_EvalCode
  577. 34: _PyEval_EvalCodeWithName
  578. 33: 0x000000000049ec68
  579. 32: _PyFunction_Vectorcall
  580. 31: _PyEval_EvalCodeWithName
  581. 30: _PyEval_EvalFrameDefault
  582. 29: PyVectorcall_Call
  583. 28: _PyFunction_Vectorcall
  584. 27: _PyEval_EvalCodeWithName
  585. 26: _PyEval_EvalFrameDefault
  586. 25: 0x000000000046eb21
  587. 24: 0x00000000004fea57
  588. 23: _PyFunction_Vectorcall
  589. 22: 0x000000000049ca7b
  590. 21: 0x00000000004f7ccc
  591. 20: 0x00000000005e8238
  592. 19: 0x00000000005e8136
  593. 18: 0x00000000004f62a5
  594. 17: 0x000000000049ca7b
  595. 16: _PyFunction_Vectorcall
  596. 15: 0x000000000049ca7b
  597. 14: _PyFunction_Vectorcall
  598. 13: 0x000000000049ca7b
  599.  
  600. Traceback (most recent call last):
  601. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 142, in build
  602. res = future.result()
  603. File "/usr/lib/python3.8/concurrent/futures/_base.py", line 444, in result
  604. return self.__get_result()
  605. File "/usr/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
  606. raise self._exception
  607. File "/usr/lib/python3.8/concurrent/futures/thread.py", line 57, in run
  608. result = self.fn(*self.args, **self.kwargs)
  609. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/contrib/popen_pool.py", line 404, in <lambda>
  610. worker = lambda *args: self._worker_run(*args)
  611. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/contrib/popen_pool.py", line 373, in _worker_run
  612. return proc.recv()
  613. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/contrib/popen_pool.py", line 297, in recv
  614. raise TimeoutError()
  615. TimeoutError
  616.  
  617.  
  618. Traceback (most recent call last):
  619. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  620. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  621. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  622. func = build(s, args, target_host=task.target_host, runtime=runtime)
  623. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  624. input_mod = lower(inputs, args, name=name, binds=binds)
  625. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  626. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  627. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  628. raise get_last_ffi_error()
  629. tvm._ffi.base.TVMError: Traceback (most recent call last):
  630. 10: TVMFuncCall
  631. 9: _ZN3tvm7runtime13PackedFun
  632. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  633. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  634. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  635. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  636. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  637. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  638. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  639. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  640. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  641. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  642. rv = local_pyfunc(*pyargs)
  643. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  644. raise InstantiationError("Skipped because of invalid gpu kernel")
  645. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  646.  
  647. Traceback (most recent call last):
  648. 10: TVMFuncCall
  649. 9: _ZN3tvm7runtime13PackedFun
  650. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  651. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  652. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  653. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  654. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  655. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  656. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  657. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  658. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  659. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  660. rv = local_pyfunc(*pyargs)
  661. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  662. raise InstantiationError("Skipped because of invalid gpu kernel")
  663. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  664. Traceback (most recent call last):
  665. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  666. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  667. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  668. func = build(s, args, target_host=task.target_host, runtime=runtime)
  669. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  670. input_mod = lower(inputs, args, name=name, binds=binds)
  671. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  672. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  673. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  674. raise get_last_ffi_error()
  675. tvm._ffi.base.TVMError: Traceback (most recent call last):
  676. 10: TVMFuncCall
  677. 9: _ZN3tvm7runtime13PackedFun
  678. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  679. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  680. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  681. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  682. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  683. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  684. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  685. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  686. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  687. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  688. rv = local_pyfunc(*pyargs)
  689. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  690. raise InstantiationError("Skipped because of invalid gpu kernel")
  691. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  692.  
  693. Traceback (most recent call last):
  694. 10: TVMFuncCall
  695. 9: _ZN3tvm7runtime13PackedFun
  696. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  697. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  698. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  699. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  700. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  701. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  702. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  703. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  704. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  705. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  706. rv = local_pyfunc(*pyargs)
  707. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  708. raise InstantiationError("Skipped because of invalid gpu kernel")
  709. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  710. Traceback (most recent call last):
  711. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  712. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  713. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  714. func = build(s, args, target_host=task.target_host, runtime=runtime)
  715. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  716. input_mod = lower(inputs, args, name=name, binds=binds)
  717. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  718. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  719. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  720. raise get_last_ffi_error()
  721. tvm._ffi.base.TVMError: Traceback (most recent call last):
  722. 10: TVMFuncCall
  723. 9: _ZN3tvm7runtime13PackedFun
  724. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  725. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  726. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  727. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  728. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  729. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  730. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  731. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  732. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  733. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  734. rv = local_pyfunc(*pyargs)
  735. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  736. raise InstantiationError("Skipped because of invalid gpu kernel")
  737. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  738.  
  739. Traceback (most recent call last):
  740. 10: TVMFuncCall
  741. 9: _ZN3tvm7runtime13PackedFun
  742. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  743. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  744. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  745. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  746. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  747. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  748. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  749. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  750. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  751. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  752. rv = local_pyfunc(*pyargs)
  753. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  754. raise InstantiationError("Skipped because of invalid gpu kernel")
  755. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  756. Traceback (most recent call last):
  757. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  758. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  759. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  760. func = build(s, args, target_host=task.target_host, runtime=runtime)
  761. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  762. input_mod = lower(inputs, args, name=name, binds=binds)
  763. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  764. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  765. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  766. raise get_last_ffi_error()
  767. tvm._ffi.base.TVMError: Traceback (most recent call last):
  768. 10: TVMFuncCall
  769. 9: _ZN3tvm7runtime13PackedFun
  770. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  771. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  772. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  773. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  774. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  775. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  776. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  777. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  778. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  779. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  780. rv = local_pyfunc(*pyargs)
  781. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  782. raise InstantiationError("Skipped because of invalid gpu kernel")
  783. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  784.  
  785. Traceback (most recent call last):
  786. 10: TVMFuncCall
  787. 9: _ZN3tvm7runtime13PackedFun
  788. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  789. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  790. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  791. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  792. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  793. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  794. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  795. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  796. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  797. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  798. rv = local_pyfunc(*pyargs)
  799. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  800. raise InstantiationError("Skipped because of invalid gpu kernel")
  801. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  802. Traceback (most recent call last):
  803. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  804. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  805. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  806. func = build(s, args, target_host=task.target_host, runtime=runtime)
  807. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  808. input_mod = lower(inputs, args, name=name, binds=binds)
  809. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  810. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  811. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  812. raise get_last_ffi_error()
  813. tvm._ffi.base.TVMError: Traceback (most recent call last):
  814. 10: TVMFuncCall
  815. 9: _ZN3tvm7runtime13PackedFun
  816. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  817. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  818. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  819. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  820. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  821. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  822. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  823. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  824. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  825. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  826. rv = local_pyfunc(*pyargs)
  827. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  828. raise InstantiationError("Skipped because of invalid gpu kernel")
  829. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  830.  
  831. Traceback (most recent call last):
  832. 10: TVMFuncCall
  833. 9: _ZN3tvm7runtime13PackedFun
  834. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  835. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  836. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  837. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  838. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  839. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  840. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  841. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  842. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  843. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  844. rv = local_pyfunc(*pyargs)
  845. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  846. raise InstantiationError("Skipped because of invalid gpu kernel")
  847. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  848. Traceback (most recent call last):
  849. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  850. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  851. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  852. func = build(s, args, target_host=task.target_host, runtime=runtime)
  853. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  854. input_mod = lower(inputs, args, name=name, binds=binds)
  855. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  856. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  857. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  858. raise get_last_ffi_error()
  859. tvm._ffi.base.TVMError: Traceback (most recent call last):
  860. 10: TVMFuncCall
  861. 9: _ZN3tvm7runtime13PackedFun
  862. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  863. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  864. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  865. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  866. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  867. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  868. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  869. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  870. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  871. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  872. rv = local_pyfunc(*pyargs)
  873. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  874. raise InstantiationError("Skipped because of invalid gpu kernel")
  875. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  876.  
  877. Traceback (most recent call last):
  878. 10: TVMFuncCall
  879. 9: _ZN3tvm7runtime13PackedFun
  880. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  881. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  882. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  883. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  884. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  885. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  886. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  887. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  888. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  889. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  890. rv = local_pyfunc(*pyargs)
  891. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  892. raise InstantiationError("Skipped because of invalid gpu kernel")
  893. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  894. Traceback (most recent call last):
  895. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  896. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  897. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  898. func = build(s, args, target_host=task.target_host, runtime=runtime)
  899. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  900. input_mod = lower(inputs, args, name=name, binds=binds)
  901. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  902. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  903. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  904. raise get_last_ffi_error()
  905. tvm._ffi.base.TVMError: Traceback (most recent call last):
  906. 10: TVMFuncCall
  907. 9: _ZN3tvm7runtime13PackedFun
  908. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  909. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  910. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  911. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  912. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  913. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  914. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  915. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  916. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  917. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  918. rv = local_pyfunc(*pyargs)
  919. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  920. raise InstantiationError("Skipped because of invalid gpu kernel")
  921. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  922.  
  923. Traceback (most recent call last):
  924. 10: TVMFuncCall
  925. 9: _ZN3tvm7runtime13PackedFun
  926. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  927. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  928. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  929. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  930. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  931. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  932. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  933. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  934. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  935. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  936. rv = local_pyfunc(*pyargs)
  937. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  938. raise InstantiationError("Skipped because of invalid gpu kernel")
  939. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  940. Traceback (most recent call last):
  941. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 588, in __call__
  942. func, arg_info = _build_func_common(measure_input, self.runtime, **kwargs)
  943. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 540, in _build_func_common
  944. func = build(s, args, target_host=task.target_host, runtime=runtime)
  945. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 227, in build
  946. input_mod = lower(inputs, args, name=name, binds=binds)
  947. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/driver/build_module.py", line 134, in lower
  948. return ffi.lower_schedule(inp, args, name, binds, simple_mode)
  949. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 237, in __call__
  950. raise get_last_ffi_error()
  951. tvm._ffi.base.TVMError: Traceback (most recent call last):
  952. 10: TVMFuncCall
  953. 9: _ZN3tvm7runtime13PackedFun
  954. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  955. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  956. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  957. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  958. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  959. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  960. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  961. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  962. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  963. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  964. rv = local_pyfunc(*pyargs)
  965. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  966. raise InstantiationError("Skipped because of invalid gpu kernel")
  967. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
  968.  
  969. Traceback (most recent call last):
  970. 10: TVMFuncCall
  971. 9: _ZN3tvm7runtime13PackedFun
  972. 8: tvm::runtime::TypedPackedFunc<tvm::IRModule (tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)>::AssignTypedLambda<tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}>(tvm::{lambda(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, tvm::runtime::String const&, tvm::runtime::Map<tvm::te::Tensor, tvm::tir::Buffer, void, void> const&, bool)#5}, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*)#1}::operator()(tvm::runtime::TVMArgs const, tvm::runtime::TVMRetValue) const
  973. 7: tvm::LowerSchedule(tvm::te::Schedule, tvm::runtime::Array<tvm::runtime::ObjectRef, void> const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::unordered_map<tvm::te::Tensor, tvm::tir::Buffer, std::hash<tvm::te::Tensor>, std::equal_to<tvm::te::Tensor>, std::allocator<std::pair<tvm::te::Tensor const, tvm::tir::Buffer> > > const&, tvm::GlobalVarSupply, bool)
  974. 6: tvm::LowerWithPassList(tvm::IRModule, tvm::runtime::Array<tvm::transform::Pass, void>)
  975. 5: tvm::transform::Pass::operator()(tvm::IRModule) const
  976. 4: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  977. 3: tvm::transform::SequentialNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  978. 2: tvm::transform::Pass::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  979. 1: tvm::tir::transform::PrimFuncPassNode::operator()(tvm::IRModule, tvm::transform::PassContext const&) const
  980. 0: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<TVMFuncCreateFromCFunc::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#2}> >::Call(tvm::runtime::PackedFuncObj const*, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
  981. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/_ffi/_ctypes/packed_func.py", line 81, in cfun
  982. rv = local_pyfunc(*pyargs)
  983. File "/root/.local/lib/python3.8/site-packages/tvm-0.10.0-py3.8-linux-x86_64.egg/tvm/autotvm/measure/measure_methods.py", line 871, in verify_pass
  984. raise InstantiationError("Skipped because of invalid gpu kernel")
  985. tvm.autotvm.task.space.InstantiationError: Skipped because of invalid gpu kernel
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