针对你遇到的 cumemcpyhtodasync failed: invalid argument 错误,我们可以从以下几个方面进行排查和解决: 确认cudaMemcpyAsync函数的调用方式和参数: 确保你调用的cudaMemcpyAsync函数(在PyCUDA中为pycuda.driver.memcpy_htod_async)的参数正确无误。函数原型通常如下: pytho
cuMemcpyHtoDAsync和cuMemcpyDtoHAsync是CUDA编程中的两个异步内存拷贝函数。它们用于在主机和设备之间进行数据传输。具体解释如下: cuMemcpyHtoDAsync:这个函数用于将主机内存中的数据异步地拷贝到设备内存中。它接受源主机内存指针、目标设备内存指针、要拷贝的数据大小以及一个CUDA流作为参数。该函数将数据拷贝操作放...
Hello, now "memcpy_htod_async" function only support paramter: pycuda.driver.memcpy_htod_async(dest, src, stream=None). Can you extends this api with additional paramter: size? Here size means how many bytes will be copyed. Or is there any other already exist function has the similay ...
EN文档没有明确地说明这一点，所以我假设缓冲区不能被重用。但要确定这是否是正确的假设。一般来说, ...
[cuda.memcpy_htod_async(inp.device, inp.host, stream) for inp in inputs] File "/opt/github/yolov3-tiny-onnx-TensorRT/common.py", line 145, in <listcomp> [cuda.memcpy_htod_async(inp.device, inp.host, stream) for inp in inputs] pycuda._driver.LogicError: cuMemcpyHtoDAsync failed...
:# Transfer input data to the GPU.[cuda.memcpy_htod_async(inp.device,inp.host,stream)forinpininputs]# Run inference.context.execute_async(batch_size=batch_size,bindings=bindings,stream_handle=stream.handle)# Transfer predictions back from the GPU.[cuda.memcpy_dtoh_async(out.host,out.device,...
[cuda.memcpy_htod_async(inp.device,inp.host,stream)forinpininputs] # Run inference. context.execute_async(batch_size=batch_size,bindings=bindings,stream_handle=stream.handle) # Transfer predictions back from the GPU. [cuda.memcpy_dtoh_async(out.host,out.device,stream)foroutinoutputs] ...
[cuda.memcpy_htod_async(inp.device,inp.host,stream)forinpininputs] # Run inference. context.execute_async(batch_size=batch_size,bindings=bindings,stream_handle=stream.handle) # Transfer predictions back from the GPU. [cuda.memcpy_dtoh_async(out.host,out.device,stream)foroutinoutputs] ...
问不能同时使用cuMemcpyHtoDAsync和cuMemcpyDtoHAsyncEN不知道为什么..。但是改变顺序解决了这个问题--...
[cuda.memcpy_htod_async(inp.device, inp.host, stream) for inp in inputs] File "/opt/github/yolov3-tiny-onnx-TensorRT/common.py", line 145, in <listcomp> [cuda.memcpy_htod_async(inp.device, inp.host, stream) for inp in inputs] pycuda._driver.LogicError: cuMemcpyHtoDAsync failed...