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* remove memory copy between CUDA and TRT * add info to RegisterExecutionProvider input * use new IDeviceAllocator for trt allocator * remove SetDefaultInputsMemoryType from TRT EP * remove onnx-tensorrt 5.0 * add submodule onnx-tensorrt branch 5.1 * remove redundancy * Update transformer_memcpy.cc * Update tensorrt_execution_provider.cc * switch to TensorRT 5.1.5.0 * update python binding * disable failed test case on TensorRT * Update activation_op_test.cc * upgrade to TensorRT container 19.06 * update according to feedback * add comments * remove tensorrt allocator and use cuda(gpu) allocator * update onnx-tensorrt submodule * change ci build cuda directory name |
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| .. | ||
| scripts | ||
| cuda_manylinux2010.repo | ||
| Dockerfile.fedora | ||
| Dockerfile.fedora_gpu | ||
| Dockerfile.manylinux2010 | ||
| Dockerfile.manylinux2010_gpu | ||
| Dockerfile.ubuntu | ||
| Dockerfile.ubuntu_for_android | ||
| Dockerfile.ubuntu_gpu | ||
| Dockerfile.ubuntu_gpu_cuda9 | ||
| Dockerfile.ubuntu_openvino | ||
| Dockerfile.ubuntu_server | ||
| Dockerfile.ubuntu_tensorrt | ||
| Dockerfile.ubuntu_x86 | ||