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18 de jun. de 2020 · It is suggested to use use TRT NGC containers to avoid system level dependencies. Thanks!
5 de abr. de 2019 · I downloaded nv-tensorrt-repo-ubuntu1604-cuda10.0-trt5.1.2.2-rc-20190227_1-1_amd64.deb and am ...
16 de out. de 2018 · Hi all, I wanted to give a quick try to TensorRT and ran into the following errors when building the engine from an UFF graph [TensorRT] ERROR: Tensor: Conv_0/Conv2D at max batch size of 80 exceeds the maximum element count of 2147483647. To solve this problem I had to reduce the builder max_batch_size parameter to 50 or so. Note that this is much less than the maximum batch size I am able to ...
14 de jan. de 2020 · Hello everyone, I am running INT8 quanization using TRT5 in top of Tensorflow. In the presentation of the INT8 quantization they mention that the activations are quantized using the Entropy Calibrator, however, the weights are quantized using min-max quantization. Question: are the weights of the hole graph (all trainable parameters: batch norm param + biases + kernel weights) are taken into ...
28 de fev. de 2020 · Hi, Running DS4.0 (not the latest, has some issue upgrade the latest JetPack). Trained YoloTinyV3 on one class using AlexeyAB repository. Works great on my Xavier when running from the command line. Tried to convert to DeepStream using the sample provided. Results are bad, they are not accurate AND probability for each match is lower or non existent. I verified the following: – Input is the ...
7 de dez. de 2018 · We are using some custom layers which are implemented by old APIs(TRT4.0.1.6) in TRT5.0.2.6, and they all work well. We test them in caffe, onnx and tensorflow models. Hi, I found when i use TRT4 to implement a custom layer, the layernames of two createPlugin functions are same, but in TRT5, i printed the layernames of two createPlugin functions, but they are different:
28 de fev. de 2019 · I will try to install nv-tensorrt-repo-ubuntu1804-cuda10.0-trt5.1.5.0-ga-20190427_1-1_amd64.deb at my ubuntu host tomorrow. I still confuse which program should run on what platform. Thank you very much in advance. Warmest Regards, suryadi
12 de dez. de 2018 · To run the builder in half mode you can use builder->setFp16Mode(true); Hello, I have checked that, I am using trtexe builded for platform which I got by installing TensorRT, when --fp16 arg is turned on, in configureBuilder function there is a line which does that: builder->setFp16Mode (gParams.fp16);
17 de mai. de 2019 · I used the pytorch model, turned it into onnx, and got the test result in trt4. When I used trt5, it didn’t get the output. I output the result of tensorrt reasoning, which is completely different from trt4. The network I use is resnet34+fpn, which has multiple output layers. It seems that the arrangement of trt4 and trt5 output layers has ...
28 de mai. de 2019 · AI & Data Science Deep Learning (Training & Inference) TensorRT. now i want to add MaxPool layer via addPooling, but original pytorch network has ‘ ceil_mode ’, any the same infernece can use in TRT5? does trt-5.1.5 support ceil_mode in maxpool2d? any help is appreciated!
