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Zhaolong Xing 61221ebc28 TRT: Support set dynamic range in int8 mode. (#17524) ... * fluid int8 train and trt int8 predict align. trt int8 predict init op converter * 2. align fluid int8 train and trt int8 inference. enhance quant dequant fuse pass enhance op converter, trt engine, trt engine op, trt subgraph pass. * 3. add delete_quant_dequant_pass for trt test=develop * 4. add the missing file test=develop * 5. i modify the c++ interface, but forget to modify the pybind code fix the IS_TRT_VERSION_GE bug, and fix elementwise op converter test=develop		6 years ago
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CMakeLists.txt	1. fix trt multi thread bug	6 years ago
tensorrt_engine_op.cc	Polish code style	6 years ago
tensorrt_engine_op.h	TRT: Support set dynamic range in int8 mode. (#17524)	6 years ago
tensorrt_engine_op_test.cc	TRT: Support set dynamic range in int8 mode. (#17524)	6 years ago