error applying lfilter
Geodude-93 opened this issue · comments
Description
Hi,
I get an error when I try to apply a bandpass filter using cupyx.scipy.signal.lfilter.
Other functions like resample_poly work well.
I have attached a code examples. See the error below.
File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:677 in compile
nvrtc.compileProgram(self.ptr, options)File cupy_backends/cuda/libs/nvrtc.pyx:125 in cupy_backends.cuda.libs.nvrtc.compileProgram
File cupy_backends/cuda/libs/nvrtc.pyx:138 in cupy_backends.cuda.libs.nvrtc.compileProgram
File cupy_backends/cuda/libs/nvrtc.pyx:53 in cupy_backends.cuda.libs.nvrtc.check_status
NVRTCError: NVRTC_ERROR_COMPILATION (6)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File ~/.conda/envs/cupy/lib/python3.12/site-packages/spyder_kernels/py3compat.py:356 in compat_exec
exec(code, globals, locals)File /mnt/Datastore/usr/keving/Scripts/Test/cupy_lfilt_min_example.py:32
data_cp_filt = cpsignal.lfilter(b_bp, a_bp, data_cp, axis=0, zi=None)File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_signaltools.py:797 in lfilter
out = apply_iir(out, a_r, axis=axis, zi=prev_out, dtype=iir_dtype)File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py:577 in apply_iir
corr_kernel = _get_module_func(File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py:509 in _get_module_func
kernel = module.get_function(kernel_name)File cupy/_core/raw.pyx:472 in cupy._core.raw.RawModule.get_function
File cupy/_core/raw.pyx:396 in cupy._core.raw.RawModule.module.get
File cupy/_core/raw.pyx:404 in cupy._core.raw.RawModule._module
File cupy/_util.pyx:64 in cupy._util.memoize.decorator.ret
File cupy/_core/raw.pyx:538 in cupy._core.raw._get_raw_module
File cupy/_core/core.pyx:2236 in cupy._core.core.compile_with_cache
File cupy/_core/core.pyx:2254 in cupy._core.core.compile_with_cache
File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:484 in _compile_module_with_cache
return _compile_with_cache_cuda(File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:562 in _compile_with_cache_cuda
ptx, mapping = compile_using_nvrtc(File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:319 in compile_using_nvrtc
return _compile(source, options, cu_path,File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:303 in _compile
compiled_obj, mapping = prog.compile(options, log_stream)File ~/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py:696 in compile
raise CompileException(log, self.src, self.name, options,CompileException: /tmp/tmpicj34uwe/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu(2): catastrophic error: cannot open source file "cuda_runtime.h"
1 catastrophic error detected in the compilation of "/tmp/tmpicj34uwe/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu".
Compilation terminated.
To Reproduce
import numpy as np
import cupy as cp
import cupyx.scipy.signal as cpsignal
# settings data
start=0
winlen = 10_000 # in secs
num_samps=int(1e07)
freq1, freq2 = 50, 220 # in Hz
# bandpass
cutoff_freqs=(10,100) # in Hz
order_bp=4
t = np.linspace(0, winlen, num_samps)
dt = np.round( t[1]-t[0], 6 )
# create data
noise = np.random.rand(num_samps)
data = 1 *np.sin((2*np.pi)*t*freq1) + 0.5 *np.sin((2*np.pi)*t*freq2) + 2.5*noise
data_cp = cp.asarray(data)
b_bp, a_bp = cpsignal.butter(order_bp, cutoff_freqs, btype="bandpass", fs=1/dt)
data_cp_filt = cpsignal.lfilter(b_bp, a_bp, data_cp, axis=0, zi=None)
data_filt = cp.asnumpy(data_cp_filt)
print("done")Installation
Conda-Forge (conda install ...)
Environment
OS : Linux-5.11.0-36-generic-x86_64-with-glibc2.31
Python Version : 3.12.1
CuPy Version : 13.0.0
CuPy Platform : NVIDIA CUDA
NumPy Version : 1.26.3
SciPy Version : 1.11.4
Cython Build Version : 0.29.37
Cython Runtime Version : None
CUDA Root : /home/keving/.conda/envs/cupy
nvcc PATH : None
CUDA Build Version : 11080
CUDA Driver Version : 11020
CUDA Runtime Version : 11080 (linked to CuPy) / 11020 (locally installed)
cuBLAS Version : (available)
cuFFT Version : 10401
cuRAND Version : 10203
cuSOLVER Version : (11, 1, 0)
cuSPARSE Version : (available)
NVRTC Version : (11, 2)
Thrust Version : 200200
CUB Build Version : 200200
Jitify Build Version : 95b2a2d
cuDNN Build Version : 8800
cuDNN Version : 8907
NCCL Build Version : None
NCCL Runtime Version : None
cuTENSOR Version : None
cuSPARSELt Build Version : None
Device 0 Name : GeForce RTX 2080 Ti
Device 0 Compute Capability : 75
Device 0 PCI Bus ID : 0000:65:00.0
Additional Information
No response
What's the output of conda list?
here is the output of conda list:
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tzdata 2024a h0c530f3_0 conda-forge
ujson 5.9.0 py312h30efb56_0 conda-forge
urllib3 2.2.0 pyhd8ed1ab_0 conda-forge
watchdog 3.0.0 py312h7900ff3_1 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 pyhd8ed1ab_2 conda-forge
whatthepatch 1.0.5 pyhd8ed1ab_0 conda-forge
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
wurlitzer 3.0.3 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 hd590300_1 conda-forge
xcb-util-image 0.4.0 h8ee46fc_1 conda-forge
xcb-util-keysyms 0.4.0 h8ee46fc_1 conda-forge
xcb-util-renderutil 0.3.9 hd590300_1 conda-forge
xcb-util-wm 0.4.1 h8ee46fc_1 conda-forge
xkeyboard-config 2.41 hd590300_0 conda-forge
xorg-compositeproto 0.4.2 h7f98852_1001 conda-forge
xorg-damageproto 1.2.1 h7f98852_1002 conda-forge
xorg-fixesproto 5.0 h7f98852_1002 conda-forge
xorg-inputproto 2.3.2 h7f98852_1002 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.1.1 hd590300_0 conda-forge
xorg-libsm 1.2.4 h7391055_0 conda-forge
xorg-libx11 1.8.7 h8ee46fc_0 conda-forge
xorg-libxau 1.0.11 hd590300_0 conda-forge
xorg-libxcomposite 0.4.6 h0b41bf4_1 conda-forge
xorg-libxdamage 1.1.5 h7f98852_1 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxfixes 5.0.3 h7f98852_1004 conda-forge
xorg-libxi 1.7.10 h7f98852_0 conda-forge
xorg-libxrandr 1.5.2 h7f98852_1 conda-forge
xorg-libxrender 0.9.11 hd590300_0 conda-forge
xorg-libxtst 1.2.3 h7f98852_1002 conda-forge
xorg-randrproto 1.5.0 h7f98852_1001 conda-forge
xorg-recordproto 1.14.2 h7f98852_1002 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-util-macros 1.19.3 h7f98852_0 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xf86vidmodeproto 2.3.1 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yapf 0.40.1 pyhd8ed1ab_0 conda-forge
zeromq 4.3.5 h59595ed_0 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hd590300_5 conda-forge
zstd 1.5.5 hfc55251_0 conda-forge
Thanks, @Geodude-93, nothing unusual from a glance. Would you be able to rerun the reproducer, but this time with the environment variable CUPY_DUMP_CUDA_SOURCE_ON_ERROR=1 set, and attach the output? I cannot reproduce the error so I'd like to see what the generated code was.
How/where do I set the environment variable? (sorry, I am new to cupy)
It's a Linux thing, not CuPy specific. This should work in a terminal:
CUPY_DUMP_CUDA_SOURCE_ON_ERROR=1 python myscript.py
#2100 seems to be the same issue?
setting CUPY_DUMP_CUDA_SOURCE_ON_ERROR=1 did not help, I still get the same error.
As suggested earlier, could you attach the output? Adding the env var is meant for us to debug, not to solve or work around the bug.
ah sorry, I read over that part. Here is the output with CUPY_DUMP_CUDA_SOURCE_ON_ERROR=1 :
/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/jit/_interface.py:173: FutureWarning: cupyx.jit.rawkernel is experimental. The interface can change in the future.
cupy._util.experimental('cupyx.jit.rawkernel')
Traceback (most recent call last):
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 677, in compile
nvrtc.compileProgram(self.ptr, options)
File "cupy_backends/cuda/libs/nvrtc.pyx", line 125, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 138, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 53, in cupy_backends.cuda.libs.nvrtc.check_status
cupy_backends.cuda.libs.nvrtc.NVRTCError: NVRTC_ERROR_COMPILATION (6)During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/Datastore/usr/keving/Scripts/Test/cupy_lfilt_min_example.py", line 32, in
data_cp_filt = cpsignal.lfilter(b_bp, a_bp, data_cp, axis=0, zi=None)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_signaltools.py", line 797, in lfilter
out = apply_iir(out, a_r, axis=axis, zi=prev_out, dtype=iir_dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py", line 577, in apply_iir
corr_kernel = _get_module_func(
^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py", line 509, in _get_module_func
kernel = module.get_function(kernel_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "cupy/_core/raw.pyx", line 472, in cupy._core.raw.RawModule.get_function
File "cupy/_core/raw.pyx", line 396, in cupy._core.raw.RawModule.module.get
File "cupy/_core/raw.pyx", line 404, in cupy._core.raw.RawModule._module
File "cupy/_util.pyx", line 64, in cupy._util.memoize.decorator.ret
File "cupy/_core/raw.pyx", line 538, in cupy._core.raw._get_raw_module
File "cupy/_core/core.pyx", line 2236, in cupy._core.core.compile_with_cache
File "cupy/_core/core.pyx", line 2254, in cupy._core.core.compile_with_cache
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 484, in _compile_module_with_cache
return _compile_with_cache_cuda(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 562, in _compile_with_cache_cuda
ptx, mapping = compile_using_nvrtc(
^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 319, in compile_using_nvrtc
return _compile(source, options, cu_path,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 303, in _compile
compiled_obj, mapping = prog.compile(options, log_stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 696, in compile
raise CompileException(log, self.src, self.name, options,
cupy.cuda.compiler.CompileException: /tmp/tmpciit15lq/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu(2): catastrophic error: cannot open source file "cuda_runtime.h"1 catastrophic error detected in the compilation of "/tmp/tmpciit15lq/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu".
Compilation terminated.
Hi @Geodude-93 this is not the full output. There should be more before the traceback, in particular there should be a line says CUDA source: followed by the CUDA source code sent to the compiler.
ah sorry, here is the first part:
/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/jit/_interface.py:173: FutureWarning: cupyx.jit.rawkernel is experimental. The interface can change in the future.
cupy._util.experimental('cupyx.jit.rawkernel')
NVRTC compilation error: /tmp/tmpyyhgi8xo/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu(2): catastrophic error: cannot open source file "cuda_runtime.h"
1 catastrophic error detected in the compilation of "/tmp/tmpyyhgi8xo/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu".
Compilation terminated.
Name: /tmp/tmpyyhgi8xo/b42b75ac773372a878930370cfd2b11e5a15836b.cubin.cu
Options: -I/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/_core/include/cupy/_cccl/cub -I/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/_core/include/cupy/_cccl/thrust -I/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/_core/include/cupy/_cccl/libcudacxx -std=c++11 -I/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/_core/include -I/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/_core/include/cupy/_cuda/cuda-11 -I/home/keving/.conda/envs/cupy/include -ftz=true -arch=sm_75
CUDA source:
001
002 #include <cuda_runtime.h>
003 #include <device_launch_parameters.h>
004
005 #include <cupy/math_constants.h>
006 #include <cupy/carray.cuh>
007 #include <cupy/complex.cuh>
008
009 template<typename U, typename T>
010 __global__ void compute_correction_factors(
011 const int m, const int k, const T* b, U* out) {
012 int idx = blockDim.x * blockIdx.x + threadIdx.x;
013 if(idx >= k) {
014 return;
015 }
016
017 U* out_start = out + idx * (k + m);
018 U* out_off = out_start + k;
019
020 for(int i = 0; i < m; i++) {
021 U acc = 0.0;
022 for(int j = 0; j < k; j++) {
023 acc += ((U) b[j]) * out_off[i - j - 1];
024
025 }
026 out_off[i] = acc;
027 }
028 }
029
030 template<typename T>
031 __global__ void first_pass_iir(
032 const int m, const int k, const int n, const int n_blocks,
033 const int carries_stride, const T* factors, T* out,
034 T* carries) {
035 int orig_idx = blockDim.x * (blockIdx.x % n_blocks) + threadIdx.x;
036
037 int num_row = blockIdx.x / n_blocks;
038 int idx = 2 * orig_idx + 1;
039
040 if(idx >= n) {
041 return;
042 }
043
044 int group_num = idx / m;
045 int group_pos = idx % m;
046
047 T* out_off = out + num_row * n;
048 T* carries_off = carries + num_row * carries_stride;
049
050 T* group_start = out_off + m * group_num;
051 T* group_carries = carries_off + k * group_num;
052
053 int pos = group_pos;
054 int up_bound = pos;
055 int low_bound = pos;
056 int rel_pos;
057
058 for(int level = 1, iter = 1; level < m; level *=2, iter++) {
059 int sz = min(pow(2.0f, ((float) iter)), ((float) m));
060
061 if(level > 1) {
062 int factor = ceil(pos / ((float) sz));
063 up_bound = sz * factor - 1;
064 low_bound = up_bound - level + 1;
065 }
066
067 if(level == 1) {
068 pos = low_bound;
069 }
070
071 if(pos < low_bound) {
072 pos += level / 2;
073 }
074
075 if(pos + m * group_num >= n) {
076 break;
077 }
078
079 rel_pos = pos % level;
080 T carry = 0.0;
081 for(int i = 1; i <= min(k, level); i++) {
082 T k_value = group_start[low_bound - i];
083 const T* k_factors = factors + (m + k) * (i - 1) + k;
084 T factor = k_factors[rel_pos];
085 carry += k_value * factor;
086 }
087
088 group_start[pos] += carry;
089 __syncthreads();
090 }
091
092 if(pos >= m - k) {
093 if(carries != NULL) {
094 group_carries[pos - (m - k)] = group_start[pos];
095 }
096 }
097
098 }
099
100 template<typename T>
101 __global__ void correct_carries(
102 const int m, const int k, const int n_blocks, const int carries_stride,
103 const int offset, const T* factors, T* carries) {
104
105 int idx = threadIdx.x;
106 int pos = idx + (m - k);
107 T* row_carries = carries + carries_stride * blockIdx.x;
108
109 for(int i = offset; i < n_blocks; i++) {
110 T* this_carries = row_carries + k * (i + (1 - offset));
111 T* prev_carries = row_carries + k * (i - offset);
112
113 T carry = 0.0;
114 for(int j = 1; j <= k; j++) {
115 const T* k_factors = factors + (m + k) * (j - 1) + k;
116 T factor = k_factors[pos];
117 T k_value = prev_carries[k - j];
118 carry += factor * k_value;
119 }
120
121 this_carries[idx] += carry;
122 __syncthreads();
123 }
124 }
125
126 template<typename T>
127 __global__ void second_pass_iir(
128 const int m, const int k, const int n, const int carries_stride,
129 const int n_blocks, const int offset, const T* factors,
130 T* carries, T* out) {
131
132 int idx = blockDim.x * (blockIdx.x % n_blocks) + threadIdx.x;
133 idx += offset * m;
134
135 int row_num = blockIdx.x / n_blocks;
136 int n_group = idx / m;
137 int pos = idx % m;
138
139 if(idx >= n) {
140 return;
141 }
142
143 T* out_off = out + row_num * n;
144 T* carries_off = carries + row_num * carries_stride;
145 const T* prev_carries = carries_off + (n_group - offset) * k;
146
147 T carry = 0.0;
148 for(int i = 1; i <= k; i++) {
149 const T* k_factors = factors + (m + k) * (i - 1) + k;
150 T factor = k_factors[pos];
151 T k_value = prev_carries[k - i];
152 carry += factor * k_value;
153 }
154
155 out_off[idx] += carry;
156 }
157
Thanks, @Geodude-93. Could you try removing this line locally and see if it works?
cupy/cupyx/scipy/signal/_iir_utils.py
Line 44 in 7a20c1a
It should be in this file on your filesystem:
/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py
Hi, I removed the line. Now I get the following:
(cupy) keving@CGF-C9X299-PG300F:/mnt/Datastore/usr/keving/Scripts/Test$ python cupy_lfilt_min_example.py
/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/jit/_interface.py:173: FutureWarning: cupyx.jit.rawkernel is experimental. The interface can change in the future.
cupy._util.experimental('cupyx.jit.rawkernel')
Traceback (most recent call last):
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 677, in compile
nvrtc.compileProgram(self.ptr, options)
File "cupy_backends/cuda/libs/nvrtc.pyx", line 125, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 138, in cupy_backends.cuda.libs.nvrtc.compileProgram
File "cupy_backends/cuda/libs/nvrtc.pyx", line 53, in cupy_backends.cuda.libs.nvrtc.check_status
cupy_backends.cuda.libs.nvrtc.NVRTCError: NVRTC_ERROR_COMPILATION (6)During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/Datastore/usr/keving/Scripts/Test/cupy_lfilt_min_example.py", line 32, in
data_cp_filt = cpsignal.lfilter(b_bp, a_bp, data_cp, axis=0, zi=None)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_signaltools.py", line 797, in lfilter
out = apply_iir(out, a_r, axis=axis, zi=prev_out, dtype=iir_dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py", line 576, in apply_iir
corr_kernel = _get_module_func(
^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupyx/scipy/signal/_iir_utils.py", line 508, in _get_module_func
kernel = module.get_function(kernel_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "cupy/_core/raw.pyx", line 472, in cupy._core.raw.RawModule.get_function
File "cupy/_core/raw.pyx", line 396, in cupy._core.raw.RawModule.module.get
File "cupy/_core/raw.pyx", line 404, in cupy._core.raw.RawModule._module
File "cupy/_util.pyx", line 64, in cupy._util.memoize.decorator.ret
File "cupy/_core/raw.pyx", line 538, in cupy._core.raw._get_raw_module
File "cupy/_core/core.pyx", line 2236, in cupy._core.core.compile_with_cache
File "cupy/_core/core.pyx", line 2254, in cupy._core.core.compile_with_cache
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 484, in _compile_module_with_cache
return _compile_with_cache_cuda(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 562, in _compile_with_cache_cuda
ptx, mapping = compile_using_nvrtc(
^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 319, in compile_using_nvrtc
return _compile(source, options, cu_path,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 303, in _compile
compiled_obj, mapping = prog.compile(options, log_stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/keving/.conda/envs/cupy/lib/python3.12/site-packages/cupy/cuda/compiler.py", line 696, in compile
raise CompileException(log, self.src, self.name, options,
cupy.cuda.compiler.CompileException: /tmp/tmp_cvzik4z/60d2bc895ff850256bdbd99f5d04e6aac91c688b.cubin.cu(2): catastrophic error: cannot open source file "device_launch_parameters.h"1 catastrophic error detected in the compilation of "/tmp/tmp_cvzik4z/60d2bc895ff850256bdbd99f5d04e6aac91c688b.cubin.cu".
Compilation terminated.
Nice, could you try removing that include line too (right below the line that you removed)?
Great, it works now, thanks!
Thanks for reporting/testing, @Geodude-93! We'll get it fixed.