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报错结果为:
/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_check.py:178: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in __init__. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in torch.jit.Attribute.
warnings.warn(
Traceback (most recent call last):
File "./wenet/bin/export_jit.py", line 70, in
main()
File "./wenet/bin/export_jit.py", line 54, in main
script_model = torch.jit.script(model)
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_script.py", line 1324, in script
return torch.jit._recursive.create_script_module(
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 559, in create_script_module
return create_script_module_impl(nn_module, concrete_type, stubs_fn)
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 636, in create_script_module_impl
create_methods_and_properties_from_stubs(
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 469, in create_methods_and_properties_from_stubs
concrete_type._create_methods_and_properties(
RuntimeError:
Unknown type name 'dict':
File "/home/lsj/zdb/biye/wenet/wenet/transducer/transducer.py", line 100
def forward(
self,
batch: dict,
~~~~ <--- HERE
device: torch.device,
) -> Dict[str, Optional[torch.Tensor]]:
The text was updated successfully, but these errors were encountered:
---原始邮件---
发件人: "Dinghao ***@***.***>
发送时间: 2024年2月24日(周六) 上午8:07
收件人: ***@***.***>;
抄送: "Daobin ***@***.******@***.***>;
主题: Re: [wenet-e2e/wenet] 在使用jit导出训练好的RNN-T模型时,报错Unknown type name 'dict' (Issue #2369)
rnnt 还不支持jit导出 做推理
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---原始邮件---
发件人: "Dinghao ***@***.***>
发送时间: 2024年2月24日(周六) 上午8:19
收件人: ***@***.***>;
抄送: "Daobin ***@***.******@***.***>;
主题: Re: [wenet-e2e/wenet] 在使用jit导出训练好的RNN-T模型时,报错Unknown type name 'dict' (Issue #2369)
有的 直接是两件事情 一个是迁移w2vbert2.0 的参数,
另外一件事是把llm 的一些设计迁移过来
rnnt优先放这这两个后边
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命令为:
python ./wenet/bin/export_jit.py
--config /home/lsj/zdb/biye/wenet/examples/aishell/rnnt/exp/baseline/train.yaml
--checkpoint /home/lsj/zdb/biye/wenet/examples/aishell/rnnt/exp/baseline/avg_4.pt
--output_file /home/lsj/zdb/biye/wenet/examples/aishell/rnnt/exp/baseline/final.zip
--output_quant_file /home/lsj/zdb/biye/wenet/examples/aishell/rnnt/exp/baseline/final_quant.zip
报错结果为:
/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_check.py:178: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in
__init__
. Instead, either 1) use a type annotation in the class body, or 2) wrap the type intorch.jit.Attribute
.warnings.warn(
Traceback (most recent call last):
File "./wenet/bin/export_jit.py", line 70, in
main()
File "./wenet/bin/export_jit.py", line 54, in main
script_model = torch.jit.script(model)
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_script.py", line 1324, in script
return torch.jit._recursive.create_script_module(
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 559, in create_script_module
return create_script_module_impl(nn_module, concrete_type, stubs_fn)
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 636, in create_script_module_impl
create_methods_and_properties_from_stubs(
File "/home/lsj/.conda/envs/rnnt/lib/python3.8/site-packages/torch/jit/_recursive.py", line 469, in create_methods_and_properties_from_stubs
concrete_type._create_methods_and_properties(
RuntimeError:
Unknown type name 'dict':
File "/home/lsj/zdb/biye/wenet/wenet/transducer/transducer.py", line 100
def forward(
self,
batch: dict,
~~~~ <--- HERE
device: torch.device,
) -> Dict[str, Optional[torch.Tensor]]:
The text was updated successfully, but these errors were encountered: