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Hello,Thank you for this great job!
But I had a problem I couldn't solve while reproducing.
My configuration:
os: win11
python: 3.8
cuda: 10.1
pytorch: 1.8.1
tvm: 0.8.0
Traceback (most recent call last):
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 319, in
main()
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 312, in main
index_name, best_metrics = train(model, optimizer, scheduler, opt, model_save_dir)
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 177, in train
train_likelihood, train_mse = train_epoch(model, training_data, optimizer, opt, epoch_i)
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 90, in train_epoch
mean_pre, sigma_pre = model(sequence)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Pyraformer_SS.py", line 77, in forward
enc_output = self.encoder(data) # get all_enc form Encoder in this py document
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Pyraformer_SS.py", line 51, in forward
seq_enc, _ = self.layers[i](seq_enc, mask)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Layers.py", line 183, in forward
enc_output = self.slf_attn(enc_input)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\PAM_TVM.py", line 60, in forward
attn_weights = graph_mm_tvm(q, k, self.q_k_mask, self.k_q_mask, False, -1000000000)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 260, in forward
output = GraphMM._graph_mm(t1, t2, q_k_mask, k_q_mask, is_t1_diagonaled=is_t1_diagonaled, padding=padding)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 190, in _graph_mm
_graph_mm_function = GraphMM._get_function(dtype=dtype, device=device)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 151, in _get_function
graph_mm = GraphMM._compile_function(dtype, device) # compile
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 113, in _compile_function
graph_mm = tvm.build(s, [X, Y, Z, q_k_mask, k_q_mask, max_attn, padding, transpose_t1, t3d3], target=device, target_host=tgt_host, name='graph_mm')
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.8.0-py3.8-win-amd64.egg\tvm\driver\build_module.py", line 270, in build
rt_mod_host = _driver_ffi.preprocess_module(target_input_mod, target_host)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.8.0-py3.8-win-amd64.egg\tvm_ffi_ctypes\packed_func.py", line 237, in call
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
File "D:\SoftwareFolder\CodeSoftware\environment\apache-tvm-src-v0.8.0.rc0\src\target\llvm\codegen_llvm.cc", line 313 TVMError: not implemented
How to solve this problem?
The text was updated successfully, but these errors were encountered:
The problem may lie in the operating system. We used Ubuntu to generate the library function, so executing in Windows may cause problems. We will consider providing the docker file for compiling TVM in the future.
Hello,Thank you for this great job!
But I had a problem I couldn't solve while reproducing.
My configuration:
os: win11
python: 3.8
cuda: 10.1
pytorch: 1.8.1
tvm: 0.8.0
Traceback (most recent call last):
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 319, in
main()
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 312, in main
index_name, best_metrics = train(model, optimizer, scheduler, opt, model_save_dir)
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 177, in train
train_likelihood, train_mse = train_epoch(model, training_data, optimizer, opt, epoch_i)
File "D:/SoftwareFolder/CodeSoftware/Code/linshi/Pyraformer/single_step_main.py", line 90, in train_epoch
mean_pre, sigma_pre = model(sequence)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Pyraformer_SS.py", line 77, in forward
enc_output = self.encoder(data) # get all_enc form Encoder in this py document
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Pyraformer_SS.py", line 51, in forward
seq_enc, _ = self.layers[i](seq_enc, mask)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\Layers.py", line 183, in forward
enc_output = self.slf_attn(enc_input)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\torch\nn\modules\module.py", line 889, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\PAM_TVM.py", line 60, in forward
attn_weights = graph_mm_tvm(q, k, self.q_k_mask, self.k_q_mask, False, -1000000000)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 260, in forward
output = GraphMM._graph_mm(t1, t2, q_k_mask, k_q_mask, is_t1_diagonaled=is_t1_diagonaled, padding=padding)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 190, in _graph_mm
_graph_mm_function = GraphMM._get_function(dtype=dtype, device=device)
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 151, in _get_function
graph_mm = GraphMM._compile_function(dtype, device) # compile
File "D:\SoftwareFolder\CodeSoftware\Code\linshi\Pyraformer\pyraformer\hierarchical_mm_tvm.py", line 113, in _compile_function
graph_mm = tvm.build(s, [X, Y, Z, q_k_mask, k_q_mask, max_attn, padding, transpose_t1, t3d3], target=device, target_host=tgt_host, name='graph_mm')
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.8.0-py3.8-win-amd64.egg\tvm\driver\build_module.py", line 270, in build
rt_mod_host = _driver_ffi.preprocess_module(target_input_mod, target_host)
File "D:\SoftwareFolder\CodeSoftware\Anaconda3\envs\tvm-build\lib\site-packages\tvm-0.8.0-py3.8-win-amd64.egg\tvm_ffi_ctypes\packed_func.py", line 237, in call
raise get_last_ffi_error()
tvm._ffi.base.TVMError: Traceback (most recent call last):
File "D:\SoftwareFolder\CodeSoftware\environment\apache-tvm-src-v0.8.0.rc0\src\target\llvm\codegen_llvm.cc", line 313
TVMError: not implemented
How to solve this problem?
The text was updated successfully, but these errors were encountered: