ImportError:/py310_cu113/slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0/slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0.so: cannot open shared object file: No such file or directory

[whx57]

is anyone meet the same problem?

ImportError Traceback (most recent call last)
Cell In[16], line 35
3 from xlstm import (
4 xLSTMBlockStack,
5 xLSTMBlockStackConfig,
(...)
10 FeedForwardConfig,
11 )
13 cfg = xLSTMBlockStackConfig(
14 mlstm_block=mLSTMBlockConfig(
15 mlstm=mLSTMLayerConfig(
(...)
32
33 )
---> 35 xlstm_stack = xLSTMBlockStack(cfg)
37 x = torch.randn(4, 256, 128).to("cuda")
38 xlstm_stack = xlstm_stack.to("cuda")

File /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/xlstm_block_stack.py:83, in xLSTMBlockStack.init(self, config)
80 super().init()
81 self.config = config
---> 83 self.blocks = self._create_blocks(config=config)
84 if config.add_post_blocks_norm:
85 self.post_blocks_norm = LayerNorm(ndim=config.embedding_dim)
...
File :1176, in create_module(self, spec)

File :241, in _call_with_frames_removed(f, *args, **kwds)

ImportError: /home/.cache/torch_extensions/py310_cu113/slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0/slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0.so: cannot open shared object file: No such file or director

[miaozhixu]

ImportError: /home/.cache/torch_extensions/py310_cu113/
this path seems not right, .cache folder is under user home directory. Normally the .cache folder is
/home/someuser/.cache
You can see xlstm/blocks/sltsm/src/cuda_init use torch.utils.cpp_extension.load.
Tracking down the code, you can end up in os.path.expanduser. These lines of code:
if 'HOME' not in os.environ:
try:
import pwd
except ImportError:
# pwd module unavailable, return path unchanged
return path
try:
userhome = pwd.getpwuid(os.getuid()).pw_dir
except KeyError:
# bpo-10496: if the current user identifier doesn't exist in the
# password database, return the path unchanged
return path
else:
userhome = os.environ['HOME']
so, maybe $HOME is not set, or uid is not right, these reason cause the path did not include your username

[whx57]

ImportError: /home/.cache/torch_extensions/py310_cu113/ this path seems not right, .cache folder is under user home directory. Normally the .cache folder is /home/someuser/.cache You can see xlstm/blocks/sltsm/src/cuda_init use torch.utils.cpp_extension.load. Tracking down the code, you can end up in os.path.expanduser. These lines of code: if 'HOME' not in os.environ: try: import pwd except ImportError: # pwd module unavailable, return path unchanged return path try: userhome = pwd.getpwuid(os.getuid()).pw_dir except KeyError: # bpo-10496: if the current user identifier doesn't exist in the # password database, return the path unchanged return path else: userhome = os.environ['HOME'] so, maybe $HOME is not set, or uid is not right, these reason cause the path did not include your username

the path is right. but the file is empty

[miaozhixu]

ImportError: /home/.cache/torch_extensions/py310_cu113/ this path seems not right, .cache folder is under user home directory. Normally the .cache folder is /home/someuser/.cache You can see xlstm/blocks/sltsm/src/cuda_init use torch.utils.cpp_extension.load. Tracking down the code, you can end up in os.path.expanduser. These lines of code: if 'HOME' not in os.environ: try: import pwd except ImportError: # pwd module unavailable, return path unchanged return path try: userhome = pwd.getpwuid(os.getuid()).pw_dir except KeyError: # bpo-10496: if the current user identifier doesn't exist in the # password database, return the path unchanged return path else: userhome = os.environ['HOME'] so, maybe $HOME is not set, or uid is not right, these reason cause the path did not include your username

the path is right. but the file is empty

1. The ImportError shows /home/.cache, not /homt/wuxi/.cache
2. try rename the torch_extensions directory to cause ninja rebuild the library. when it's successfully built, it should have a .so file under slstm_**************** directory.

[whx57]

ImportError: /home/.cache/torch_extensions/py310_cu113/这个路径似乎不对，.cache 文件夹位于用户主目录下。通常 .cache 文件夹是/home/someuser/.cache您可以看到 xlstm/blocks/sltsm/src/cuda_init 使用 torch.utils.cpp_extension.load。跟踪代码，您最终会进入 os.path.expanduser。这些代码行： if 'HOME' not in os.environ: try: import pwd except ImportError: # pwd module unavailable, return path unchanged return path try: userhome = pwd.getpwuid(os.getuid()).pw_dir except KeyError: # bpo-10496: if the current user identifier doesn't exist in the # password database, return the path unchanged return path else: userhome = os.environ['HOME']所以，也许 $HOME 没有设置，或者 uid 不正确，这些原因导致路径不包含您的用户名路径
是正确的。但文件是空的

1. ImportError 显示 /home/.cache，而不是 /homt/wuxi/.cache
2. 尝试重命名 torch_extensions 目录以使 ninja 重建库。成功构建后，它应该在 slstm_**************** 目录下有一个 .so 文件。

I renamed it and ran it, and it seems that the program didn't build the.so file at all. The folder under the newly generated path is still empty

[whx57]

2. ninja

I update the ninja，and another problem is there

{'verbose': True, 'with_cuda': True, 'extra_ldflags': ['-L/usr/local/cuda/lib', '-lcublas'], 'extra_cflags': ['-DSLSTM_HIDDEN_SIZE=128', '-DSLSTM_BATCH_SIZE=8', '-DSLSTM_NUM_HEADS=4', '-DSLSTM_NUM_STATES=4', '-DSLSTM_DTYPE_B=float', '-DSLSTM_DTYPE_R=nv_bfloat16', '-DSLSTM_DTYPE_W=nv_bfloat16', '-DSLSTM_DTYPE_G=nv_bfloat16', '-DSLSTM_DTYPE_S=nv_bfloat16', '-DSLSTM_DTYPE_A=float', '-DSLSTM_NUM_GATES=4', '-DSLSTM_SIMPLE_AGG=true', '-DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false', '-DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0', '-DSLSTM_FORWARD_CLIPVAL_VALID=false', '-DSLSTM_FORWARD_CLIPVAL=0.0', '-U__CUDA_NO_HALF_OPERATORS', '-U__CUDA_NO_HALF_CONVERSIONS', '-U__CUDA_NO_BFLOAT16_OPERATORS', '-U__CUDA_NO_BFLOAT16_CONVERSIONS', '-U__CUDA_NO_BFLOAT162_OPERATORS__', '-U__CUDA_NO_BFLOAT162_CONVERSIONS__'], 'extra_cuda_cflags': ['-Xptxas="-v"', '-gencode', 'arch=compute_80,code=compute_80', '-res-usage', '--use_fast_math', '-O3', '-Xptxas -O3', '--extra-device-vectorization', '-DSLSTM_HIDDEN_SIZE=128', '-DSLSTM_BATCH_SIZE=8', '-DSLSTM_NUM_HEADS=4', '-DSLSTM_NUM_STATES=4', '-DSLSTM_DTYPE_B=float', '-DSLSTM_DTYPE_R=nv_bfloat16', '-DSLSTM_DTYPE_W=nv_bfloat16', '-DSLSTM_DTYPE_G=nv_bfloat16', '-DSLSTM_DTYPE_S=nv_bfloat16', '-DSLSTM_DTYPE_A=float', '-DSLSTM_NUM_GATES=4', '-DSLSTM_SIMPLE_AGG=true', '-DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false', '-DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0', '-DSLSTM_FORWARD_CLIPVAL_VALID=false', '-DSLSTM_FORWARD_CLIPVAL=0.0', '-U__CUDA_NO_HALF_OPERATORS', '-U__CUDA_NO_HALF_CONVERSIONS', '-U__CUDA_NO_BFLOAT16_OPERATORS', '-U__CUDA_NO_BFLOAT16_CONVERSIONS', '-U__CUDA_NO_BFLOAT162_OPERATORS__', '-U__CUDA_NO_BFLOAT162_CONVERSIONS__']}
Using /home/wuxi/.cache/torch_extensions/py310_cu113 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/wuxi/.cache/torch_extensions/py310_cu113/slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0/build.ninja...
Building extension module slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/8] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/TH -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -Xptxas="-v" -gencode arch=compute_80,code=compute_80 -res-usage --use_fast_math -O3 -Xptxas -O3 --extra-device-vectorization -DSLSTM_HIDDEN_SIZE=128 -DSLSTM_BATCH_SIZE=8 -DSLSTM_NUM_HEADS=4 -DSLSTM_NUM_STATES=4 -DSLSTM_DTYPE_B=float -DSLSTM_DTYPE_R=nv_bfloat16 -DSLSTM_DTYPE_W=nv_bfloat16 -DSLSTM_DTYPE_G=nv_bfloat16 -DSLSTM_DTYPE_S=nv_bfloat16 -DSLSTM_DTYPE_A=float -DSLSTM_NUM_GATES=4 -DSLSTM_SIMPLE_AGG=true -DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false -DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0 -DSLSTM_FORWARD_CLIPVAL_VALID=false -DSLSTM_FORWARD_CLIPVAL=0.0 -U__CUDA_NO_HALF_OPERATORS -U__CUDA_NO_HALF_CONVERSIONS -U__CUDA_NO_BFLOAT16_OPERATORS -U__CUDA_NO_BFLOAT16_CONVERSIONS -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ -std=c++14 -c /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/slstm_forward.cu -o slstm_forward.cuda.o
FAILED: slstm_forward.cuda.o
/usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/TH -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -Xptxas="-v" -gencode arch=compute_80,code=compute_80 -res-usage --use_fast_math -O3 -Xptxas -O3 --extra-device-vectorization -DSLSTM_HIDDEN_SIZE=128 -DSLSTM_BATCH_SIZE=8 -DSLSTM_NUM_HEADS=4 -DSLSTM_NUM_STATES=4 -DSLSTM_DTYPE_B=float -DSLSTM_DTYPE_R=nv_bfloat16 -DSLSTM_DTYPE_W=nv_bfloat16 -DSLSTM_DTYPE_G=nv_bfloat16 -DSLSTM_DTYPE_S=nv_bfloat16 -DSLSTM_DTYPE_A=float -DSLSTM_NUM_GATES=4 -DSLSTM_SIMPLE_AGG=true -DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false -DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0 -DSLSTM_FORWARD_CLIPVAL_VALID=false -DSLSTM_FORWARD_CLIPVAL=0.0 -U__CUDA_NO_HALF_OPERATORS -U__CUDA_NO_HALF_CONVERSIONS -U__CUDA_NO_BFLOAT16_OPERATORS -U__CUDA_NO_BFLOAT16_CONVERSIONS -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ -std=c++14 -c /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/slstm_forward.cu -o slstm_forward.cuda.o
/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_fp16.cuh(71): error: identifier "__hadd_rn" is undefined

/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_fp16.cuh(77): error: identifier "__hsub_rn" is undefined

/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_fp16.cuh(88): error: identifier "__hmul_rn" is undefined

/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_bf16.cuh(76): error: identifier "__hadd_rn" is undefined

/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_bf16.cuh(83): error: identifier "__hsub_rn" is undefined

/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/inline_ops_bf16.cuh(96): error: identifier "__hmul_rn" is undefined

6 errors detected in the compilation of "/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/slstm_forward.cu".
[2/8] /usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/TH -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -Xptxas="-v" -gencode arch=compute_80,code=compute_80 -res-usage --use_fast_math -O3 -Xptxas -O3 --extra-device-vectorization -DSLSTM_HIDDEN_SIZE=128 -DSLSTM_BATCH_SIZE=8 -DSLSTM_NUM_HEADS=4 -DSLSTM_NUM_STATES=4 -DSLSTM_DTYPE_B=float -DSLSTM_DTYPE_R=nv_bfloat16 -DSLSTM_DTYPE_W=nv_bfloat16 -DSLSTM_DTYPE_G=nv_bfloat16 -DSLSTM_DTYPE_S=nv_bfloat16 -DSLSTM_DTYPE_A=float -DSLSTM_NUM_GATES=4 -DSLSTM_SIMPLE_AGG=true -DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false -DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0 -DSLSTM_FORWARD_CLIPVAL_VALID=false -DSLSTM_FORWARD_CLIPVAL=0.0 -U__CUDA_NO_HALF_OPERATORS -U__CUDA_NO_HALF_CONVERSIONS -U__CUDA_NO_BFLOAT16_OPERATORS -U__CUDA_NO_BFLOAT16_CONVERSIONS -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ -std=c++14 -c /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/slstm_backward.cu -o slstm_backward.cuda.o
FAILED: slstm_backward.cuda.o
/usr/local/cuda/bin/nvcc -DTORCH_EXTENSION_NAME=slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="gcc" -DPYBIND11_STDLIB="libstdcpp" -DPYBIND11_BUILD_ABI="cxxabi1011" -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/TH -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/include/THC -isystem /usr/local/cuda/include -isystem /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/include/python3.10 -D_GLIBCXX_USE_CXX11_ABI=0 -D__CUDA_NO_HALF_OPERATORS -D__CUDA_NO_HALF_CONVERSIONS_ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_86,code=compute_86 -gencode=arch=compute_86,code=sm_86 --compiler-options '-fPIC' -Xptxas="-v" -gencode arch=compute_80,code=compute_80 -res-usage --use_fast_math -O3 -Xptxas -O3 --extra-device-vectorization -DSLSTM_HIDDEN_SIZE=128 -DSLSTM_BATCH_SIZE=8 -DSLSTM_NUM_HEADS=4 -DSLSTM_NUM_STATES=4 -DSLSTM_DTYPE_B=float -DSLSTM_DTYPE_R=nv_bfloat16 -DSLSTM_DTYPE_W=nv_bfloat16 -DSLSTM_DTYPE_G=nv_bfloat16 -DSLSTM_DTYPE_S=nv_bfloat16 -DSLSTM_DTYPE_A=float -DSLSTM_NUM_GATES=4 -DSLSTM_SIMPLE_AGG=true -DSLSTM_GRADIENT_RECURRENT_CLIPVAL_VALID=false -DSLSTM_GRADIENT_RECURRENT_CLIPVAL=0.0 -DSLSTM_FORWARD_CLIPVAL_VALID=false -DSLSTM_FORWARD_CLIPVAL=0.0 -U__CUDA_NO_HALF_OPERATORS -U__CUDA_NO_HALF_CONVERSIONS -U__CUDA_NO_BFLOAT16_OPERATORS -U__CUDA_NO_BFLOAT16_CONVERSIONS -U__CUDA_NO_BFLOAT162_OPERATORS__ -U__CUDA_NO_BFLOAT162_CONVERSIONS__ -std=c++14 -c /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/slstm_backward.cu -o slstm_backward.cuda.o
...
/home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/xlstm/blocks/slstm/src/cuda/../util/support.h:41:3: note: in definition of macro ‘AT_DISPATCH_FLOATING_TYPES_AND_HALF2’
41 | AT_DISPATCH_SWITCH(TYPE, NAME,
| ^~~~~~~~~~~~~~~~~~
ninja: build stopped: subcommand failed.
CalledProcessError Traceback (most recent call last)
File /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/site-packages/torch/utils/cpp_extension.py:1740, in _run_ninja_build(build_directory, verbose, error_prefix)
1739 stdout_fileno = 1
-> 1740 subprocess.run(
1741 command,
1742 stdout=stdout_fileno if verbose else subprocess.PIPE,
1743 stderr=subprocess.STDOUT,
1744 cwd=build_directory,
1745 check=True,
1746 env=env)
1747 except subprocess.CalledProcessError as e:
1748 # Python 2 and 3 compatible way of getting the error object.

File /home/media/ExtHDD1/wuxi/conda/minicinda3/py310/lib/python3.10/subprocess.py:526, in run(input, capture_output, timeout, check, *popenargs, **kwargs)
525 if check and retcode:
--> 526 raise CalledProcessError(retcode, process.args,
527 output=stdout, stderr=stderr)
528 return CompletedProcess(process.args, retcode, stdout, stderr)

CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:

RuntimeError Traceback (most recent call last)
...
1754 if hasattr(error, 'output') and error.output: # type: ignore[union-attr]
1755 message += f": {error.output.decode(*SUBPROCESS_DECODE_ARGS)}" # type: ignore[union-attr]
-> 1756 raise RuntimeError(message) from e

RuntimeError: Error building extension 'slstm_HS128BS8NH4NS4DBfDRbDWbDGbDSbDAfNG4SA1GRCV0GRC0d0FCV0FC0d0'

[Huang1720]

I meet the same problem. Have you solved it now?

[whx57]

I meet the same problem. Have you solved it now?

no，i give up. I think may be the code is not perfect, compatibility is relatively poor

[kpoeppel]

The building error could stem from a GPU that does not have compute capability >= 8.0.