DeepDetect v0.11.0

Features

• bench: support for regression model benchmarking (a385292)
• make python client an install package (ec2f5e2)
• one protobuf to rule them all (77912fe)
• api: add versions and compile flags to /info (67b1d99), closes #897
• caffe: add new optimizers flavors to API (d534a16)
• ml: tensorrt support for regression models (77a016b)
• tensorrt: Add support for onnx image classification models (a8b81f2)
• torch: ranger optimizer (ie rectified ADAM + lookahead) + \ (a3004f0)

Bug Fixes

• torch: best model was never saved on last iteration (6d1aa4d)
• torch: clip gradient in rectified adam as stated in annex B of original paper (1561269)
• torch: Raise an exception if gpu is not available (1f0887a)
• add pytorch fatbin patch (43a698c)
• add tool to generate debian buster image with the workaround (5570db4)
• building documentation up to date for 18.04, tensorrt and tests (18ba916)
• docker adds missing pytorch deps (314160c)
• docker build readme link from doc (c6682bf)
• handle int64 in conversion from json to APIData (863e697)
• ignore JSON conversion throw in partial chains output (742c1c7)
• missing main in bench.py (8b8b196)
• proper cleanup of tensorrt models and services (d6749d0)
• put useful informations in case of unexpected exception (5ab90c7)
• readme table of backends, models and data formats (f606aa8)
• regression benchmark tool parameter (3840218)
• tensorrt output layer lookup now throws when layer does not exist (ba7c839)
• csvts/torch: allow to read csv timeserie directly from query (76023db)
• doc: update to neural network templates and output connector (2916daf)
• docker: don't share apt cache between arch build (75dc9e9)
• graph: correctly discard dropout (16409a6)
• stats: measure of inference count (b517910)
• timeseries: do not segfault if no valid files in train/test dir (1977bba)
• torch: add missing header needed in case of building w/o caffe backend (2563b74)
• torch: load weights only once (0052a03)
• torch: reload solver params on API device (30fa16f)
• tensorrt fp16 and int8 selector (36c7488)
• torch/native: prevent loading weights before instanciating native model (b15d767)
• torch/timeseries: do not double read query data (d54f60d)

Docker images:

• CPU version: docker pull jolibrain/deepdetect_cpu:v0.11.0
• GPU (CUDA only): docker pull jolibrain/deepdetect_gpu:v0.11.0
• GPU (CUDA and Tensorrt) :docker pull jolibrain/deepdetect_cpu_tensorrt:v0.11.0
• GPU with torch backend: docker pull jolibrain/deepdetect_gpu_torch:v0.11.0
• All images available on https://hub.docker.com/u/jolibrain