![go-codec decoder not initialized go-codec decoder not initialized](https://i.stack.imgur.com/huBjV.png)
- #GO CODEC DECODER NOT INITIALIZED HOW TO#
- #GO CODEC DECODER NOT INITIALIZED INSTALL#
- #GO CODEC DECODER NOT INITIALIZED UPDATE#
- #GO CODEC DECODER NOT INITIALIZED LICENSE#
PluginInfo.longDescription = "This gem is a Logstash plugin required to be installed on top of the Logstash core pipeline using \$LS_HOME/bin/logstash-plugin install gemname.
#GO CODEC DECODER NOT INITIALIZED LICENSE#
PluginInfo.licenses = // list of SPDX license IDs Have a single class JavaCodecExample implements Codec " // read from required VERSION fileĭescription = "Example Java filter implementation" Gradle.properties in the root folder of your plugin project. Where to find the logstash-core-x.y.z.jar file. $LS_HOME/logstash-core/build/libs/logstash-core-x.y.z.jar where x, y, andĪfter you have successfully compiled Logstash, you need to tell your Java plugin gradlew assemble (or gradlew.bat assemble if you’re From the root directory of your Logstash codebase ($LS_HOME), youĬan compile it with. jar fileĪfter you have obtained a copy of the appropriate revision of the LogstashĬodebase, you need to compile it to generate the. If youĭo not specify target_folder, it defaults to a new folder called logstash Specify the target_folder for your local copy of the Logstash codebase. I’ll go back to verify the deepstream environment soon.The GA version of the Java plugin API is available in the 7.1Īnd later branches of the Logstash codebase. run file to ignore it after I done many critical tasks.
#GO CODEC DECODER NOT INITIALIZED UPDATE#
I hear of driver 375.66, or maybe some old one has memory leak problem, so I will update 375.66 to some new version but has same main version number with. I will issue another topic if it is a real problem. Video Length (hh:mm:ss.msec) = 00:00:07.779Įxcept I can’t see the video context even the window popup or event I set device=1 option. SetTextureFilterMode(GL_NEAREST,GL_NEAREST) > VideoDecoder::cudaVideoCreateFlags = Use CUDA decoder the cuvidCtxLockCreate failed: 100 problem dismissed and everything goes well.
![go-codec decoder not initialized go-codec decoder not initialized](https://koenig-media.raywenderlich.com/uploads/2019/06/Serialization-feature.png)
Hi AastaLLL, I can’t downgrade the driver with deb or ppa, so I reinstalled the ubuntu and install driver 375.66 and CUDA 8.0 with. I searched for the gpuDeviceInitDRV() call, and TBC. Total amount of global memory: 979.8125 MB > Using GPU Device: GeForce GT 710 has SM 3.5 compute capability GpuDeviceInitDRV() Using CUDA Device : GeForce GT 710 I run cudaDecodeGL with vnc viewer first time, but when I connect a monitor to the GeForce GT 710, still has error with or without device option: argv =. var h codec.Handle new(codec.JsonHandle) h.ReaderBufferSize 8192 //. If not specified, go-codec will NOT internally do a buffering because users may want to combine encoded data with other data, and want go-codec to only read the bytes needed. Total amount of global memory: 7606.3750 MBĬudaDecodeGL: videoDecodeGL.cpp:1050: void initCudaVideo(): Assertion `0' failed. We recommend that the user specifies a buffer size, and we will internally use a buffered reader for performance. > Using GPU Device: Tesla P4 has SM 6.1 compute capability I changed the “cuda-8.0/samples/3_Imaging/cudaDecodeGL/Makefile” one line # Common includes and paths for CUDAĪnd successful compiling cudaDecodeGL sample, but it run with failed 100 Īrgv =. I’m compiling the “cuda-8.0/samples/3_Imaging/cudaDecodeGL” and got: /usr/bin/ld: cannot find -lnvcuvid
#GO CODEC DECODER NOT INITIALIZED HOW TO#
How to fix this? I already successful run decPerf sample in another environment 2 weeks ago. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
![go-codec decoder not initialized go-codec decoder not initialized](https://i.stack.imgur.com/T6L1K.png)
TensorRT 3.0 + CUDA 9.0 + cuDNN 7.0 + Tesla P4 + Driver 384.90Īnd the second tool chain installed at /home/admin/opt/TensorRT2.1 isĭeepStream 1.0 + Video Codec SDK 8.0.14 + TensorRT 2.1.2 + CUDA 8.0 + Tesla P4 + Driver 384.90Īnd the nvidia-smi tool output: Tue Dec 19 14:45:34 2017 The main ubuntu 16.04 develop toolchain is CUDA error 100 at line 165 in file src/nvDecLite.cpp Since we setup another deepstream develop environment, I compile and run the decPerf sample, but it log: = Video Parameters Begin =