cuda nvcc生成ptx文件遇到的错误error: invalid redeclaration of type name "size_t"

最新推荐文章于 2024-09-10 16:21:17 发布
原创 最新推荐文章于 2024-09-10 16:21:17 发布 · 2.5k 阅读 · 1 ·
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博客给出解决问题的方法，使用vs的x64本机命令提示符可避免某错误，且经过亲测有效。
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解决方法：用vs的x64本机命令提示符可避免该错误，亲测有效！

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cuda编译出现vcruntime.h(184): error: invalid redeclaration of type name “size_t“
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【代码】cuda编译出现vcruntime.h(184): error: invalid redeclaration of type name “size_t“
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10-15 2211
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2025-06-30 09:26:27.075176: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleLoadData(&module, data)' failed with 'CUDA_ERROR_UNSUPPORTED_PTX_VERSION' 2025-06-30 09:26:27.075224: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleGetFunction(&function, module, kernel_name)' failed with 'CUDA_ERROR_INVALID_HANDLE' 如何解决这个报错
07-01
1.'cuModuleLoadData'failed withCUDA_ERROR_UNSUPPORTED_PTX_VERSION2.'cuModuleGetFunction'failed withCUDA_ERROR_INVALID_HANDLE根据引用[1]：任何未处理的CUDA驱动程序错误都会添加到该值中并通过运行时返回。...
2025-09-18 14:17:00.603094: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleLoadData(&module, data)' failed with 'CUDA_ERROR_INVALID_PTX' 2025-09-18 14:17:00.603148: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleGetFunction(&function, module, kernel_name)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-18 14:17:00.603193: W tensorflow/core/framework/op_kernel.cc:1827] INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-18 14:17:00.603235: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [2025-09-18 14:17:00,603][pinnstf2.utils.utils][ERROR] - Traceback (most recent call last): File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/common/variables.py", line 153, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/core.py", line 69, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/core.py", line 139, in convert_to_tensor return tf.cast(x, dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/tensorflow/python/framework/ops.py", line 5983, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: [2025-09-18 14:17:00,609][pinnstf2.utils.utils][INFO] - Output dir: /home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/examples/aneurysm3D/outputs/14-16-46 Error executing job with overrides: [] Traceback (most recent call last): File "/home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/train.py", line 139, in main metric_dict, _ = pinnstf2.train( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/utils/utils.py", line 84, in wrap raise ex File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/common/variables.py", line 153, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/core.py", line 69, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/keras/src/backend/tensorflow/core.py", line 139, in convert_to_tensor return tf.cast(x, dtype) File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.10/site-packages/tensorflow/python/framework/ops.py", line 5983, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
09-19
您遇到的错误 'CUDA_ERROR_INVALID_PTX' 和 'CUDA_ERROR_INVALID_HANDLE' 通常与 GPU 计算环境不兼容有关，尤其是在使用 TensorFlow 时。这些错误表明 CUDA 驱动程序或 PTX（并行线程执行）代码出现了问题。核心原因...
2025-09-20 18:11:55.609791: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleLoadData(&module, data)' failed with 'CUDA_ERROR_INVALID_PTX' 2025-09-20 18:11:55.609846: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleGetFunction(&function, module, kernel_name)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-20 18:11:55.609887: W tensorflow/core/framework/op_kernel.cc:1842] INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-20 18:11:55.609927: I tensorflow/core/framework/local_rendezvous.cc:407] Local rendezvous is aborting with status: INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [2025-09-20 18:11:55,610][pinnstf2.utils.utils][ERROR] - Traceback (most recent call last): File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( ^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() ^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/common/variables.py", line 173, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 73, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 152, in convert_to_tensor return tf.cast(x, dtype) ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 6027, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: [2025-09-20 18:11:55,614][pinnstf2.utils.utils][INFO] - Output dir: /home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/outputs/18-11-42 Error executing job with overrides: [] Traceback (most recent call last): File "/home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/train.py", line 139, in main metric_dict, _ = pinnstf2.train( ^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 84, in wrap raise ex File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( ^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() ^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/common/variables.py", line 173, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 73, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 152, in convert_to_tensor return tf.cast(x, dtype) ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 6027, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
最新发布
09-21
我们正在解决TensorFlow使用GPU时出现的两个错误：'CUDA_ERROR_INVALID_PTX'和'CUDA_ERROR_INVALID_HANDLE'。根据引用内容，这些错误可能与CUDA工具链的兼容性有关，特别是PTX（并行线程执行）代码的编译问题。以下...
cuModuleLoadData(&module, data)' failed with 'CUDA_ERROR_INVALID_PTX' 2025-09-19 00:59:41.652223: W tensorflow/compiler/mlir/tools/kernel_gen/tf_gpu_runtime_wrappers.cc:40] 'cuModuleGetFunction(&function, module, kernel_name)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-19 00:59:41.652257: W tensorflow/core/framework/op_kernel.cc:1842] INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' 2025-09-19 00:59:41.652285: I tensorflow/core/framework/local_rendezvous.cc:407] Local rendezvous is aborting with status: INTERNAL: 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [2025-09-19 00:59:41,652][pinnstf2.utils.utils][ERROR] - Traceback (most recent call last): File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( ^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() ^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/common/variables.py", line 173, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 73, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 152, in convert_to_tensor return tf.cast(x, dtype) ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 6027, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: [2025-09-19 00:59:41,657][pinnstf2.utils.utils][INFO] - Output dir: /home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/outputs/00-59-28 Error executing job with overrides: [] Traceback (most recent call last): File "/home/jfq/pinns-tf2-main/pinns-tf2-main/examples/aneurysm3D/train.py", line 139, in main metric_dict, _ = pinnstf2.train( ^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 84, in wrap raise ex File "/root/pinns-tf2/pinnstf2/utils/utils.py", line 72, in wrap metric_dict, object_dict = task_func( ^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/train.py", line 122, in train model: PINNModule = hydra.utils.instantiate(cfg.model)( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/root/pinns-tf2/pinnstf2/models/pinn_module.py", line 56, in __init__ self.opt = optimizer() ^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/adam.py", line 62, in __init__ super().__init__( File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/optimizer.py", line 21, in __init__ super().__init__(*args, **kwargs) File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/optimizers/base_optimizer.py", line 158, in __init__ iterations = backend.Variable( ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/common/variables.py", line 173, in __init__ initializer = self._convert_to_tensor(initializer, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 73, in _convert_to_tensor return convert_to_tensor(value, dtype=dtype) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/keras/src/backend/tensorflow/core.py", line 152, in convert_to_tensor return tf.cast(x, dtype) ^^^^^^^^^^^^^^^^^ File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/util/traceback_utils.py", line 153, in error_handler raise e.with_traceback(filtered_tb) from None File "/home/jfq/anaconda3/envs/pinn/lib/python3.12/site-packages/tensorflow/python/framework/ops.py", line 6027, in raise_from_not_ok_status raise core._status_to_exception(e) from None # pylint: disable=protected-access ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensorflow.python.framework.errors_impl.InternalError: {{function_node __wrapped__Cast_device_/job:localhost/replica:0/task:0/device:GPU:0}} 'cuLaunchKernel(function, gridX, gridY, gridZ, blockX, blockY, blockZ, 0, reinterpret_cast<CUstream>(stream), params, nullptr)' failed with 'CUDA_ERROR_INVALID_HANDLE' [Op:Cast] name: Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
09-20
### 解决 Hydra/TensorFlow/Keras 的 CUDA 错误：`CUDA_ERROR_INVALID_PTX` 和 `CUDA_ERROR_INVALID_HANDLE` 以下解决方案针对两种常见 CUDA 错误： 1. `cuModuleLoadData(&module, data)` 失败并报错 `CUDA_ERROR_...
stm32结合TFLCD编程遇到的问题#256: invalid redeclaration of type name “_lcd_dev“
xiaoxiaokis的博客
07-05 1518
stm32结合TFLCD编程遇到的问题，当制作.c和.h时出现的报错
mdk报错invalid redeclaration of type name "s32"
mayahs的专栏
11-11 4185
将mdk固件库升级成V3.5.0，编译至XX.c时报错 \stm32f10x.h(487): error:  #256: invalid redeclaration of type name "s32" (declared at line 23 of "d:\Keil\ARM\INC\ST\STM32F10x\stm32f10x_type.h") 观察同名XX.h,其中有#include "s
关于STM32头文件包含出现No such file or directory和 invalid redeclaration of type name...的问题
fushiqianxun的专栏
08-30 2万+
用keil sdk编译STM32的程序时出现“.\inc\stm32f10x_conf.h(21): error:  #5: cannot open source input file "stm32f10x_type.h": No such file or directory”类似的问题，说明没有搜到此头文件，如果是用双引号 “  ” 包含的头文件，则问题肯定出在没有把此头文件放在工程文件夹内
stm32f10x.h(41): error: #256: invalid redeclaration of type name “GPIO_TypeDef“ (declared at line 4
weixin_53877801的博客
01-19 785
语法上没有什么问题的话。查看.h中是否包含声明。结构体如果是在.h中。加上以后就没有错误了。
keil报错：stm32f10x_type.h:error:256：invalid invalid redeclaration of type
Hzhena的专栏
04-16 6820
在使用ST官网的固件包新建工程文件后，编译报错“D:/Keil/ARM/INC/ST/STM32F10x/stm32f10x_type.h(23): error: #256: invalid redeclaration of type name "s32" (declared at line 470 of "Src/App/stm32f10x.h")”，在网上也看到了类似的问题，不过都没有明确
***stm32f10x_type.h(23): error: #256: invalid redeclaration of type name "s32" 原因+解决方案
@角色扮演#
12-29 1万+
Build target 'USART_Base' compiling main.c... D:\STM32开发板资料\STM32开发板资料\工具软件\MDK3.50\ARM\INC\ST\STM32F10x\stm32f10x_type.h(23): error:  #256: invalid redeclaration of type name "s32" (declared at lin
STM32调试小记
optimism_的博客
05-10 729
一.编译后报错： stm32f10x.h(24): error: #256: invalid redeclaration of type name "GPIO_TypeDef" (declared at line 24) }GPIO_TypeDef; stm32f10x.h(38): error: #256: invalid redeclaration of type name "RCC_TypeDef" (declared at line 38...
nvcc编译选项
yuzyong的博客
09-10 1521
gencode arch=compute_86,code=compute_86 : 生成sass指令，版本为sm_86 (若需要生成多个版本，这里可以指定多个)-gencode arch=compute_86,code=sm_86 : 生成ptx，版本为sm_86 (若需要生成多个版本，这里可以指定多个)官网地址：https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html。-o : 生成目标文件。
ninja: error: build.ninja:30: multiple rules generate dcn_v2_cuda.obj
07-05
在构建深度学习模型或相关库时，若遇到 `ninja: build stopped: subcommand failed` 错误，并提示多个规则生成了相同的输出文件（如 `dcn_v2_cuda.obj`），这通常意味着构建系统检测到两个或更多不同的编译步骤试图...
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